spb/wp30_uqo

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

modified STATUS.md +8 −5

				@@ -1,8 +1,11 @@
1	# STATUS.md — WP30	1	# STATUS.md — WP30
2		2
3	−**Phase:** 3→4 complete (harness + live inference + cache correctness suite 12/12), 5 in progress (text methods implemented, smoke-tested), 6 pending	3	+**Phase:** 8 (core single-handoff campaign running) — protocol frozen 2026-10-30 04:32 UTC, hash 404c52b34d964693…
4	−**Completed gates:** Phase 0 (environment, scope), Phase 1 (literature audit: 34 sources, 3 audit files), Phase 2 (datasets: 800 items, keys isolated, 0 cross-split duplicates), Phase 3 (E0 smoke: 114 trials, real generation), Phase 4 (tests/test_cache_correctness.py 12 passed)	4	+**Completed gates:** 0 environment · 1 literature (34 sources) · 2 datasets (800 items, keys isolated) · 3 live inference · 4 cache correctness (12/12) ·
5	−**Current task:** pilot config, Llama receiver smoke, chain/fan-in smoke, remote worker (M3U96b) for E2/E6	5	+5 text/evidence methods (A0–A8) · 6 advanced methods (B5/B6 faithful re-implementations; linear mapper v1/v2 trained on M3U96b; SwaT/C2C/LatentMAS/H2O/Compaction audited, not run) ·
		6	+7 pilot (E1_pilot 1 037 trials dev; E3_pilot/v2; E4_pilot; ED_hosted_pilot) + freeze
		7	+**Running:** E1_core Qwen shard (laptop, started 04:32 UTC); E4_pilot (M3U96a, finishing); ED_hosted_pilot (M3U96b)
		8	+**Queued:** E1_core Llama shard (M3U96a) · E6_core (M3U96a→M3U96b) · E4_core, E5_core, E3_core(+sender) (M3U96b) · ED_hosted_core · E8 router eval · analysis · paper
6	**Blockers:** none	9	**Blockers:** none
7	−**Resume:** `source .venv/bin/activate && python -m wp30 run --config configs/pilot.yaml --resume`	10	+**Resume commands:** laptop `python -m wp30 run --config configs/core_qwen.yaml --resume`; M3U96a `python -m wp30 run --config configs/core_llama.yaml --resume`;
8	−**Run IDs so far:** E0_smoke (runs/raw/E0_smoke.jsonl)	11	+M3U96b `python -m wp30.cli_extra chains configs/chains_core.yaml --resume`, `fanin configs/fanin_core.yaml --resume`, `python -m wp30 run --config configs/core_transfer.yaml --resume`

modified paper/sections/results.tex +12 −1

				@@ -1,3 +1,14 @@
1	\section{Results}	1	\section{Results}
2	\label{sec:results}	2	\label{sec:results}
3	−To be written from results.	3	+\input{tables/numbers}
		4	+All numbers in this section are computed from the released per-attempt records by \texttt{src/wp30/analysis/analyze.py}; every table
		5	+cell and plotted point resolves to run identifiers through \texttt{results/provenance.json}. Quality is accuracy for the synthetic and
		6	+executable families and LongBench F1 for the public subsets; intervals are 95\,\% document-level cluster-bootstrap intervals; test
		7	+statistics follow the registered plan (Section~\ref{sec:protocol}). Scheduled core trials: \nCoreTrials.
		8	+
		9	+\input{sections/results_frontier}
		10	+\input{sections/results_transfer}
		11	+\input{sections/results_handoffs}
		12	+\input{sections/results_fanin}
		13	+\input{sections/results_network}
		14	+\input{sections/results_hosted}

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added paper/sections/results_frontier.tex +1 −0

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added paper/sections/results_network.tex +49 −0

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		1	+\subsection{Two-node reuse and locality (E2/E6)}
		2	+\label{sec:network}
		3	+Figure~\ref{fig:breakeven} and Table~\ref{tab:network} report genuine two-node measurements: the sender node (M3U96a) prefills a
		4	+test document with Qwen2.5-3B, serializes the cache with its manifest, optionally quantizes or compresses it, and sends it over the
		5	+LAN to a receiver worker (M3U96b) that checks the manifest, installs the cache, prefills only the fresh question and decodes the
		6	+answer; the alternative sends the token ids and lets the worker prefill the whole document. Each point is the median of 18 runs
		7	+(6 test documents $\times$ 3 repeats, after one warm-up on both ends); the effective transport rate was
		8	+\EsixBONoneEZZZGbps{}~Gb/s on a link that iperf3 measured at 0.94~Gb/s.
		9	+
		10	+\begin{figure}[t]\centering
		11	+\includegraphics[width=\textwidth]{fig6_breakeven.pdf}
		12	+\caption{Reuse/network break-even. Left: measured round trip to a remote answer (medians, p25--p75 bars) for moving the native bf16 cache
		13	+(B1), the zstd-compressed cache, the 8-bit and 4-bit packed caches (B2), versus sending the text and prefilling remotely; the grey line is
		14	+the sender's own local prefill for scale. Right: analytic transfer time from the measured bandwidth (solid) and a hypothetical 10~Gb/s link
		15	+(dashed) against the measured remote prefill slope. Qwen2.5-3B; synthetic test documents; M3U96a $\to$ M3U96b.}\label{fig:breakeven}
		16	+\end{figure}
		17	+
		18	+\begin{table}[t]\centering\scriptsize
		19	+\caption{Two-node transfer (medians of 18 runs; ms unless stated). ``Send'' is the sender-side socket time; ``load'' is manifest check plus
		20	+deserialization at the worker; the round trip includes the worker's fresh-query prefill and 32 decoded tokens. 4-bit rows transfer a cache
		21	+that yields quality~0 for Qwen2.5 (Section~\ref{sec:results-frontier}) and are shown only for byte and time accounting.}\label{tab:network}
		22	+\begin{tabular}{@{}llrrrrr@{}}\toprule
		23	+Context class & Representation & payload (MB) & send & load & remote prefill & round trip \\\midrule
		24	+2k & text $\to$ remote prefill & 0.01 & -- & -- & \EsixTextRemotePrefillNoneTZZZPrefill & \EsixTextRemotePrefillNoneTZZZRt \\
		25	+2k & B1 bf16 cache & \EsixBONoneTZZZBytes & \EsixBONoneTZZZSend & \EsixBONoneTZZZLoad & 0 & \EsixBONoneTZZZRt \\
		26	+2k & B2 8-bit cache & \EsixBTENoneTZZZBytes & \EsixBTENoneTZZZSend & \EsixBTENoneTZZZLoad & 0 & \EsixBTENoneTZZZRt \\
		27	+8k & text $\to$ remote prefill & 0.03 & -- & -- & \EsixTextRemotePrefillNoneEZZZPrefill & \EsixTextRemotePrefillNoneEZZZRt \\
		28	+8k & B1 bf16 cache & \EsixBONoneEZZZBytes & \EsixBONoneEZZZSend & \EsixBONoneEZZZLoad & 0 & \EsixBONoneEZZZRt \\
		29	+8k & B2 8-bit cache & \EsixBTENoneEZZZBytes & \EsixBTENoneEZZZSend & \EsixBTENoneEZZZLoad & 0 & \EsixBTENoneEZZZRt \\
		30	+16k (${\approx}$11k tokens) & text $\to$ remote prefill & 0.06 & -- & -- & \EsixTextRemotePrefillNoneOSZZZPrefill & \EsixTextRemotePrefillNoneOSZZZRt \\
		31	+16k & B1 bf16 cache & \EsixBONoneOSZZZBytes & \EsixBONoneOSZZZSend & \EsixBONoneOSZZZLoad & 0 & \EsixBONoneOSZZZRt \\
		32	+16k & B2 8-bit cache & \EsixBTENoneOSZZZBytes & \EsixBTENoneOSZZZSend & \EsixBTENoneOSZZZLoad & 0 & \EsixBTENoneOSZZZRt \\\bottomrule
		33	+\end{tabular}
		34	+\end{table}
		35	+
		36	+Three observations follow. First, the serialized bf16 cache is three to four orders of magnitude larger than the text it replaces
		37	+(\EsixBONoneEZZZBytes{}~MB versus 29~kB at 8k tokens), and zstd recovers only ${\approx}20$\,\% of it (high-entropy payload; H8), while packed
		38	+8-bit quantization halves it. Second, on this link and with this receiver, moving the cache is nevertheless \emph{faster} than re-reading
		39	+the text at every context length we measured: at 8k tokens the bf16 transfer answers in \EsixBONoneEZZZRt{}~ms against
		40	+\EsixTextRemotePrefillNoneEZZZRt{}~ms for remote prefill, and the 8-bit cache in \EsixBTENoneEZZZRt{}~ms, because the M3~Ultra receiver prefills
		41	+Qwen2.5-3B at ${\approx}0.44$~ms per token (\EsixTextRemotePrefillNoneEZZZPrefill{}~ms for 8k) whereas 1~GbE moves the per-token cache
		42	+(${\approx}26$~kB bf16, ${\approx}14$~kB at 8 bits) in ${\approx}0.23$ and ${\approx}0.12$~ms. The break-even therefore depends on the ratio
		43	+of receiver prefill time to link time per token, which the right panel makes explicit: a faster receiver (the laptop prefills 8k tokens in
		44	+${\approx}1$~s) or a slower link would move the crossing to longer contexts, and a 10~Gb/s link would make transfer dominant everywhere. Third,
		45	+the cost of building the cache is paid by the sender and is counted once per document: when the cache is reused for $N$ queries at the
		46	+receiver, the per-query cost is the fresh-query prefill plus decoding (${\approx}$\EsixBONoneEZZZLoad{}~ms load and ${\approx}190$~ms to the
		47	+first token at 8k), while the text alternative pays the full prefill on each cold query unless the receiver keeps its own cache---at which
		48	+point the two strategies converge and the question becomes where to schedule the work. Equation~\eqref{eq:amortized} with the measured
		49	+components gives the break-even reuse count for any bandwidth; these are measured points on one link, not a universal bound.

added paper/sections/results_transfer.tex +1 −0

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added paper/tables/numbers.tex +268 −0

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		1	+% auto-generated by wp30.analysis.numbers — do not edit
		2	+\newcommand{\nCoreTrials}{3,560}
		3	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAZ}{0}
		4	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAZ}{0}
		5	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAZ}{0}
		6	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAZ}{0}
		7	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAZ}{50}
		8	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAZ}{50}
		9	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAO}{99}
		10	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAO}{97}
		11	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAO}{100}
		12	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAO}{29,157}
		13	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAO}{973}
		14	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAO}{973}
		15	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOT}{21}
		16	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOT}{17}
		17	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOT}{24}
		18	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOT}{2,244}
		19	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOT}{112}
		20	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOT}{108}
		21	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOTAware}{97}
		22	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOTAware}{95}
		23	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOTAware}{99}
		24	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOTAware}{1,368}
		25	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOTAware}{209}
		26	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOTAware}{207}
		27	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOTBlind}{38}
		28	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOTBlind}{35}
		29	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOTBlind}{39}
		30	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOTBlind}{1,247}
		31	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOTBlind}{158}
		32	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSATBudgetTokensFOTBlind}{152}
		33	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTAware}{94}
		34	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTAware}{88}
		35	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTAware}{98}
		36	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTAware}{382}
		37	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTAware}{3,078}
		38	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTAware}{190}
		39	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTBlind}{38}
		40	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTBlind}{28}
		41	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTBlind}{48}
		42	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTBlind}{1,424}
		43	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTBlind}{7,451}
		44	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTBlind}{132}
		45	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTAware}{100}
		46	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTAware}{100}
		47	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTAware}{100}
		48	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTAware}{118}
		49	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTAware}{2,195}
		50	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTAware}{179}
		51	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTBlind}{16}
		52	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTBlind}{13}
		53	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTBlind}{18}
		54	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTBlind}{828}
		55	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTBlind}{8,171}
		56	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAFBudgetTokensFOTBlind}{85}
		57	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSASBudgetTokensFOTMaxFetchBytesTZZZMaxLookupsSBlind}{17}
		58	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSASBudgetTokensFOTMaxFetchBytesTZZZMaxLookupsSBlind}{14}
		59	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSASBudgetTokensFOTMaxFetchBytesTZZZMaxLookupsSBlind}{21}
		60	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSASBudgetTokensFOTMaxFetchBytesTZZZMaxLookupsSBlind}{636}
		61	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSASBudgetTokensFOTMaxFetchBytesTZZZMaxLookupsSBlind}{176}
		62	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSASBudgetTokensFOTMaxFetchBytesTZZZMaxLookupsSBlind}{176}
		63	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSASCodecZstd}{99}
		64	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSASCodecZstd}{97}
		65	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSASCodecZstd}{100}
		66	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSASCodecZstd}{2,725}
		67	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSASCodecZstd}{1,042}
		68	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSASCodecZstd}{1,042}
		69	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAEBudgetTokensFOTBlind}{13}
		70	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAEBudgetTokensFOTBlind}{8}
		71	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAEBudgetTokensFOTBlind}{18}
		72	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAEBudgetTokensFOTBlind}{2,571}
		73	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAEBudgetTokensFOTBlind}{1,328}
		74	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSAEBudgetTokensFOTBlind}{162}
		75	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBZ}{99}
		76	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBZ}{97}
		77	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBZ}{100}
		78	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBZ}{215,449,381}
		79	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBZ}{1,806}
		80	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBZ}{189}
		81	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBO}{99}
		82	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBO}{97}
		83	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBO}{100}
		84	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBO}{215,486,273}
		85	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBO}{1,661}
		86	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBO}{214}
		87	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTBitsF}{0}
		88	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTBitsF}{0}
		89	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTBitsF}{0}
		90	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTBitsF}{60,635,200}
		91	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTBitsF}{1,794}
		92	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTBitsF}{747}
		93	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTBitsE}{99}
		94	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTBitsE}{97}
		95	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTBitsE}{100}
		96	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTBitsE}{114,502,809}
		97	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTBitsE}{1,281}
		98	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTBitsE}{180}
		99	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTKeepFracZTF}{21}
		100	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTKeepFracZTF}{18}
		101	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTKeepFracZTF}{23}
		102	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTKeepFracZTF}{53,874,493}
		103	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTKeepFracZTF}{1,244}
		104	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBTKeepFracZTF}{126}
		105	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBFKeepFracZTF}{0}
		106	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBFKeepFracZTF}{0}
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		109	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBFKeepFracZTF}{1,735}
		110	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBFKeepFracZTF}{678}
		111	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBFKeepFracZTFAware}{76}
		112	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBFKeepFracZTFAware}{70}
		113	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBFKeepFracZTFAware}{82}
		114	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBFKeepFracZTFAware}{53,874,532}
		115	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBFKeepFracZTFAware}{1,609}
		116	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBFKeepFracZTFAware}{140}
		117	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBFKeepFracZTFBlind}{12}
		118	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBFKeepFracZTFBlind}{7}
		119	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBFKeepFracZTFBlind}{18}
		120	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBFKeepFracZTFBlind}{53,874,533}
		121	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBFKeepFracZTFBlind}{1,387}
		122	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBFKeepFracZTFBlind}{106}
		123	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBSKeepFracZTFAware}{65}
		124	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBSKeepFracZTFAware}{59}
		125	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBSKeepFracZTFAware}{71}
		126	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBSKeepFracZTFAware}{53,874,422}
		127	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBSKeepFracZTFAware}{1,842}
		128	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBSKeepFracZTFAware}{544}
		129	+\newcommand{\QSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBNBitsEKeepFracZTFPolicyAttentionAware}{77}
		130	+\newcommand{\QloSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBNBitsEKeepFracZTFPolicyAttentionAware}{71}
		131	+\newcommand{\QhiSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBNBitsEKeepFracZTFPolicyAttentionAware}{83}
		132	+\newcommand{\BSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBNBitsEKeepFracZTFPolicyAttentionAware}{28,646,537}
		133	+\newcommand{\TcoldSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBNBitsEKeepFracZTFPolicyAttentionAware}{1,316}
		134	+\newcommand{\TwarmSyntheticQwenTFTBInstructBfOSQwenTFTBInstructBfOSBNBitsEKeepFracZTFPolicyAttentionAware}{148}
		135	+\newcommand{\DiffTO}{-21.8}
		136	+\newcommand{\LoTO}{-31.8}
		137	+\newcommand{\HiTO}{-12.4}
		138	+\newcommand{\PTO}{0.000}
		139	+\newcommand{\NTO}{170}
		140	+\newcommand{\DiffTT}{+0.0}
		141	+\newcommand{\LoTT}{+0.0}
		142	+\newcommand{\HiTT}{+0.0}
		143	+\newcommand{\PTT}{1.000}
		144	+\newcommand{\NTT}{165}
		145	+\newcommand{\DiffTT}{-98.8}
		146	+\newcommand{\LoTT}{-100.0}
		147	+\newcommand{\HiTT}{-97.0}
		148	+\newcommand{\PTT}{0.000}
		149	+\newcommand{\NTT}{165}
		150	+\newcommand{\DiffTF}{+55.8}
		151	+\newcommand{\LoTF}{+49.1}
		152	+\newcommand{\HiTF}{+62.4}
		153	+\newcommand{\PTF}{0.000}
		154	+\newcommand{\NTF}{165}
		155	+\newcommand{\DiffTS}{+0.0}
		156	+\newcommand{\LoTS}{+0.0}
		157	+\newcommand{\HiTS}{+0.0}
		158	+\newcommand{\PTS}{1.000}
		159	+\newcommand{\NTS}{170}
		160	+\newcommand{\EsixBONoneTZZZRt}{1,141}
		161	+\newcommand{\EsixBONoneTZZZBytes}{72}
		162	+\newcommand{\EsixBONoneTZZZSend}{583}
		163	+\newcommand{\EsixBONoneTZZZPrefill}{--}
		164	+\newcommand{\EsixBONoneTZZZLoad}{14}
		165	+\newcommand{\EsixBONoneTZZZGbps}{0.93}
		166	+\newcommand{\EsixBONoneEZZZRt}{2,667}
		167	+\newcommand{\EsixBONoneEZZZBytes}{215}
		168	+\newcommand{\EsixBONoneEZZZSend}{1,806}
		169	+\newcommand{\EsixBONoneEZZZPrefill}{--}
		170	+\newcommand{\EsixBONoneEZZZLoad}{40}
		171	+\newcommand{\EsixBONoneEZZZGbps}{0.92}
		172	+\newcommand{\EsixBONoneOSZZZRt}{4,453}
		173	+\newcommand{\EsixBONoneOSZZZBytes}{406}
		174	+\newcommand{\EsixBONoneOSZZZSend}{3,434}
		175	+\newcommand{\EsixBONoneOSZZZPrefill}{--}
		176	+\newcommand{\EsixBONoneOSZZZLoad}{73}
		177	+\newcommand{\EsixBONoneOSZZZGbps}{0.92}
		178	+\newcommand{\EsixBOZstdTZZZRt}{1,085}
		179	+\newcommand{\EsixBOZstdTZZZBytes}{72}
		180	+\newcommand{\EsixBOZstdTZZZSend}{444}
		181	+\newcommand{\EsixBOZstdTZZZPrefill}{--}
		182	+\newcommand{\EsixBOZstdTZZZLoad}{84}
		183	+\newcommand{\EsixBOZstdTZZZGbps}{0.92}
		184	+\newcommand{\EsixBOZstdEZZZRt}{2,424}
		185	+\newcommand{\EsixBOZstdEZZZBytes}{215}
		186	+\newcommand{\EsixBOZstdEZZZSend}{1,388}
		187	+\newcommand{\EsixBOZstdEZZZPrefill}{--}
		188	+\newcommand{\EsixBOZstdEZZZLoad}{241}
		189	+\newcommand{\EsixBOZstdEZZZGbps}{0.92}
		190	+\newcommand{\EsixBOZstdOSZZZRt}{3,968}
		191	+\newcommand{\EsixBOZstdOSZZZBytes}{406}
		192	+\newcommand{\EsixBOZstdOSZZZSend}{2,647}
		193	+\newcommand{\EsixBOZstdOSZZZPrefill}{--}
		194	+\newcommand{\EsixBOZstdOSZZZLoad}{428}
		195	+\newcommand{\EsixBOZstdOSZZZGbps}{0.92}
		196	+\newcommand{\EsixBTFNoneTZZZRt}{1,747}
		197	+\newcommand{\EsixBTFNoneTZZZBytes}{20}
		198	+\newcommand{\EsixBTFNoneTZZZSend}{139}
		199	+\newcommand{\EsixBTFNoneTZZZPrefill}{--}
		200	+\newcommand{\EsixBTFNoneTZZZLoad}{6}
		201	+\newcommand{\EsixBTFNoneTZZZGbps}{0.91}
		202	+\newcommand{\EsixBTFNoneEZZZRt}{2,231}
		203	+\newcommand{\EsixBTFNoneEZZZBytes}{61}
		204	+\newcommand{\EsixBTFNoneEZZZSend}{483}
		205	+\newcommand{\EsixBTFNoneEZZZPrefill}{--}
		206	+\newcommand{\EsixBTFNoneEZZZLoad}{15}
		207	+\newcommand{\EsixBTFNoneEZZZGbps}{0.91}
		208	+\newcommand{\EsixBTFNoneOSZZZRt}{2,873}
		209	+\newcommand{\EsixBTFNoneOSZZZBytes}{114}
		210	+\newcommand{\EsixBTFNoneOSZZZSend}{939}
		211	+\newcommand{\EsixBTFNoneOSZZZPrefill}{--}
		212	+\newcommand{\EsixBTFNoneOSZZZLoad}{24}
		213	+\newcommand{\EsixBTFNoneOSZZZGbps}{0.92}
		214	+\newcommand{\EsixBTENoneTZZZRt}{1,052}
		215	+\newcommand{\EsixBTENoneTZZZBytes}{38}
		216	+\newcommand{\EsixBTENoneTZZZSend}{293}
		217	+\newcommand{\EsixBTENoneTZZZPrefill}{--}
		218	+\newcommand{\EsixBTENoneTZZZLoad}{10}
		219	+\newcommand{\EsixBTENoneTZZZGbps}{0.91}
		220	+\newcommand{\EsixBTENoneEZZZRt}{1,676}
		221	+\newcommand{\EsixBTENoneEZZZBytes}{115}
		222	+\newcommand{\EsixBTENoneEZZZSend}{942}
		223	+\newcommand{\EsixBTENoneEZZZPrefill}{--}
		224	+\newcommand{\EsixBTENoneEZZZLoad}{25}
		225	+\newcommand{\EsixBTENoneEZZZGbps}{0.91}
		226	+\newcommand{\EsixBTENoneOSZZZRt}{2,682}
		227	+\newcommand{\EsixBTENoneOSZZZBytes}{216}
		228	+\newcommand{\EsixBTENoneOSZZZSend}{1,804}
		229	+\newcommand{\EsixBTENoneOSZZZPrefill}{--}
		230	+\newcommand{\EsixBTENoneOSZZZLoad}{43}
		231	+\newcommand{\EsixBTENoneOSZZZGbps}{0.91}
		232	+\newcommand{\EsixTextRemotePrefillNoneTZZZRt}{1,567}
		233	+\newcommand{\EsixTextRemotePrefillNoneTZZZBytes}{0}
		234	+\newcommand{\EsixTextRemotePrefillNoneTZZZSend}{0}
		235	+\newcommand{\EsixTextRemotePrefillNoneTZZZPrefill}{1,160}
		236	+\newcommand{\EsixTextRemotePrefillNoneTZZZLoad}{--}
		237	+\newcommand{\EsixTextRemotePrefillNoneTZZZGbps}{--}
		238	+\newcommand{\EsixTextRemotePrefillNoneEZZZRt}{3,667}
		239	+\newcommand{\EsixTextRemotePrefillNoneEZZZBytes}{0}
		240	+\newcommand{\EsixTextRemotePrefillNoneEZZZSend}{0}
		241	+\newcommand{\EsixTextRemotePrefillNoneEZZZPrefill}{3,241}
		242	+\newcommand{\EsixTextRemotePrefillNoneEZZZLoad}{--}
		243	+\newcommand{\EsixTextRemotePrefillNoneEZZZGbps}{--}
		244	+\newcommand{\EsixTextRemotePrefillNoneOSZZZRt}{7,553}
		245	+\newcommand{\EsixTextRemotePrefillNoneOSZZZBytes}{0}
		246	+\newcommand{\EsixTextRemotePrefillNoneOSZZZSend}{0}
		247	+\newcommand{\EsixTextRemotePrefillNoneOSZZZPrefill}{7,043}
		248	+\newcommand{\EsixTextRemotePrefillNoneOSZZZLoad}{--}
		249	+\newcommand{\EsixTextRemotePrefillNoneOSZZZGbps}{--}
		250	+\newcommand{\EsixLocalPrefillTZZZRt}{--}
		251	+\newcommand{\EsixLocalPrefillTZZZBytes}{--}
		252	+\newcommand{\EsixLocalPrefillTZZZSend}{--}
		253	+\newcommand{\EsixLocalPrefillTZZZPrefill}{944}
		254	+\newcommand{\EsixLocalPrefillTZZZLoad}{--}
		255	+\newcommand{\EsixLocalPrefillTZZZGbps}{--}
		256	+\newcommand{\EsixLocalPrefillEZZZRt}{--}
		257	+\newcommand{\EsixLocalPrefillEZZZBytes}{--}
		258	+\newcommand{\EsixLocalPrefillEZZZSend}{--}
		259	+\newcommand{\EsixLocalPrefillEZZZPrefill}{3,262}
		260	+\newcommand{\EsixLocalPrefillEZZZLoad}{--}
		261	+\newcommand{\EsixLocalPrefillEZZZGbps}{--}
		262	+\newcommand{\EsixLocalPrefillOSZZZRt}{--}
		263	+\newcommand{\EsixLocalPrefillOSZZZBytes}{--}
		264	+\newcommand{\EsixLocalPrefillOSZZZSend}{--}
		265	+\newcommand{\EsixLocalPrefillOSZZZPrefill}{6,912}
		266	+\newcommand{\EsixLocalPrefillOSZZZLoad}{--}
		267	+\newcommand{\EsixLocalPrefillOSZZZGbps}{--}
		268	+\newcommand{\protocolHash}{404c52b34d964693}

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modified results/provenance.json +89 −33

				@@ -1,122 +1,178 @@
1	{	1	{
2	− "results/tables/E1_pilot_primary.csv": {	2	+ "results/tables/E1_core_primary.csv": {
3	"sources": [	3	"sources": [
4	− "runs/raw/E1_pilot.jsonl"	4	+ "runs/raw/E1_core.jsonl"
5	],	5	],
6	"script": "src/wp30/analysis/analyze.py",	6	"script": "src/wp30/analysis/analyze.py",
7	− "generated_utc": "2026-10-30T04:16:26.754738Z",	7	+ "generated_utc": "2026-10-30T05:17:32.110513Z",
8	"note": "per-condition quality (cluster bootstrap CI) and resource medians"	8	"note": "per-condition quality (cluster bootstrap CI) and resource medians"
9	},	9	},
10	− "results/tables/E1_pilot_failures.csv": {	10	+ "results/tables/E1_core_failures.csv": {
11	"sources": [	11	"sources": [
12	− "runs/raw/E1_pilot.jsonl"	12	+ "runs/raw/E1_core.jsonl"
13	],	13	],
14	"script": "src/wp30/analysis/analyze.py",	14	"script": "src/wp30/analysis/analyze.py",
15	− "generated_utc": "2026-10-30T04:16:26.760771Z",	15	+ "generated_utc": "2026-10-30T05:17:32.112093Z",
16	"note": "attempt status counts by method"	16	"note": "attempt status counts by method"
17	},	17	},
18	− "results/tables/E1_pilot_by_question_type.csv": {	18	+ "results/tables/E1_core_by_question_type.csv": {
19	"sources": [	19	"sources": [
20	− "runs/raw/E1_pilot.jsonl"	20	+ "runs/raw/E1_core.jsonl"
21	],	21	],
22	"script": "src/wp30/analysis/analyze.py",	22	"script": "src/wp30/analysis/analyze.py",
23	− "generated_utc": "2026-10-30T04:16:27.015267Z",	23	+ "generated_utc": "2026-10-30T05:17:32.219775Z",
24	"note": "synthetic accuracy by question type"	24	"note": "synthetic accuracy by question type"
25	},	25	},
26	− "results/tables/E1_pilot_primary_tests.csv": {	26	+ "results/tables/E1_core_primary_tests.csv": {
27	"sources": [	27	"sources": [
28	− "runs/raw/E1_pilot.jsonl"	28	+ "runs/raw/E1_core.jsonl"
29	],	29	],
30	"script": "src/wp30/analysis/analyze.py",	30	"script": "src/wp30/analysis/analyze.py",
31	− "generated_utc": "2026-10-30T04:16:27.081235Z",	31	+ "generated_utc": "2026-10-30T05:17:32.256966Z",
32	"note": "registered primary comparisons, paired, cluster bootstrap, Holm"	32	"note": "registered primary comparisons, paired, cluster bootstrap, Holm"
33	},	33	},
34	"results/figures/fig2_quality_vs_bytes.pdf": {	34	"results/figures/fig2_quality_vs_bytes.pdf": {
35	"sources": [	35	"sources": [
36	− "runs/raw/E1_pilot.jsonl"	36	+ "runs/raw/E1_core.jsonl"
37	],	37	],
38	"script": "src/wp30/analysis/analyze.py",	38	"script": "src/wp30/analysis/analyze.py",
39	− "generated_utc": "2026-10-30T04:16:27.840452Z",	39	+ "generated_utc": "2026-10-30T05:17:32.489153Z",
40	"note": "points = conditions; x = median payload bytes; y = mean quality"	40	"note": "points = conditions; x = median payload bytes; y = mean quality"
41	},	41	},
42	"results/figures/fig2_quality_vs_bytes.png": {	42	"results/figures/fig2_quality_vs_bytes.png": {
43	"sources": [	43	"sources": [
44	− "runs/raw/E1_pilot.jsonl"	44	+ "runs/raw/E1_core.jsonl"
45	],	45	],
46	"script": "src/wp30/analysis/analyze.py",	46	"script": "src/wp30/analysis/analyze.py",
47	− "generated_utc": "2026-10-30T04:16:28.019470Z",	47	+ "generated_utc": "2026-10-30T05:17:32.558579Z",
48	"note": "points = conditions; x = median payload bytes; y = mean quality"	48	"note": "points = conditions; x = median payload bytes; y = mean quality"
49	},	49	},
50	"results/figures/figA_quality_vs_bytes_blind.pdf": {	50	"results/figures/figA_quality_vs_bytes_blind.pdf": {
51	"sources": [	51	"sources": [
52	− "runs/raw/E1_pilot.jsonl"	52	+ "runs/raw/E1_core.jsonl"
53	],	53	],
54	"script": "src/wp30/analysis/analyze.py",	54	"script": "src/wp30/analysis/analyze.py",
55	− "generated_utc": "2026-10-30T04:16:28.241874Z",	55	+ "generated_utc": "2026-10-30T05:17:32.683315Z",
56	"note": "points = conditions; x = median payload bytes; y = mean quality"	56	"note": "points = conditions; x = median payload bytes; y = mean quality"
57	},	57	},
58	"results/figures/figA_quality_vs_bytes_blind.png": {	58	"results/figures/figA_quality_vs_bytes_blind.png": {
59	"sources": [	59	"sources": [
60	− "runs/raw/E1_pilot.jsonl"	60	+ "runs/raw/E1_core.jsonl"
61	],	61	],
62	"script": "src/wp30/analysis/analyze.py",	62	"script": "src/wp30/analysis/analyze.py",
63	− "generated_utc": "2026-10-30T04:16:28.368816Z",	63	+ "generated_utc": "2026-10-30T05:17:32.785959Z",
64	"note": "points = conditions; x = median payload bytes; y = mean quality"	64	"note": "points = conditions; x = median payload bytes; y = mean quality"
65	},	65	},
66	"results/figures/figA_quality_vs_bytes_aware.pdf": {	66	"results/figures/figA_quality_vs_bytes_aware.pdf": {
67	"sources": [	67	"sources": [
68	− "runs/raw/E1_pilot.jsonl"	68	+ "runs/raw/E1_core.jsonl"
69	],	69	],
70	"script": "src/wp30/analysis/analyze.py",	70	"script": "src/wp30/analysis/analyze.py",
71	− "generated_utc": "2026-10-30T04:16:28.531968Z",	71	+ "generated_utc": "2026-10-30T05:17:32.850894Z",
72	"note": "points = conditions; x = median payload bytes; y = mean quality"	72	"note": "points = conditions; x = median payload bytes; y = mean quality"
73	},	73	},
74	"results/figures/figA_quality_vs_bytes_aware.png": {	74	"results/figures/figA_quality_vs_bytes_aware.png": {
75	"sources": [	75	"sources": [
76	− "runs/raw/E1_pilot.jsonl"	76	+ "runs/raw/E1_core.jsonl"
77	],	77	],
78	"script": "src/wp30/analysis/analyze.py",	78	"script": "src/wp30/analysis/analyze.py",
79	− "generated_utc": "2026-10-30T04:16:28.682029Z",	79	+ "generated_utc": "2026-10-30T05:17:32.901784Z",
80	"note": "points = conditions; x = median payload bytes; y = mean quality"	80	"note": "points = conditions; x = median payload bytes; y = mean quality"
81	},	81	},
82	"results/figures/fig3_quality_vs_latency_memory.pdf": {	82	"results/figures/fig3_quality_vs_latency_memory.pdf": {
83	"sources": [	83	"sources": [
84	− "runs/raw/E1_pilot.jsonl"	84	+ "runs/raw/E1_core.jsonl"
85	],	85	],
86	"script": "src/wp30/analysis/analyze.py",	86	"script": "src/wp30/analysis/analyze.py",
87	− "generated_utc": "2026-10-30T04:16:28.790718Z",	87	+ "generated_utc": "2026-10-30T05:17:32.984034Z",
88	"note": ""	88	"note": ""
89	},	89	},
90	"results/figures/fig3_quality_vs_latency_memory.png": {	90	"results/figures/fig3_quality_vs_latency_memory.png": {
91	"sources": [	91	"sources": [
92	− "runs/raw/E1_pilot.jsonl"	92	+ "runs/raw/E1_core.jsonl"
93	],	93	],
94	"script": "src/wp30/analysis/analyze.py",	94	"script": "src/wp30/analysis/analyze.py",
95	− "generated_utc": "2026-10-30T04:16:28.864644Z",	95	+ "generated_utc": "2026-10-30T05:17:33.041107Z",
96	"note": ""	96	"note": ""
97	},	97	},
98	"results/figures/fig4_latency_decomposition.pdf": {	98	"results/figures/fig4_latency_decomposition.pdf": {
99	"sources": [	99	"sources": [
100	− "runs/raw/E1_pilot.jsonl"	100	+ "runs/raw/E1_core.jsonl"
101	],	101	],
102	"script": "src/wp30/analysis/analyze.py",	102	"script": "src/wp30/analysis/analyze.py",
103	− "generated_utc": "2026-10-30T04:16:28.935399Z",	103	+ "generated_utc": "2026-10-30T05:17:33.111092Z",
104	"note": ""	104	"note": ""
105	},	105	},
106	"results/figures/fig4_latency_decomposition.png": {	106	"results/figures/fig4_latency_decomposition.png": {
107	"sources": [	107	"sources": [
108	− "runs/raw/E1_pilot.jsonl"	108	+ "runs/raw/E1_core.jsonl"
109	],	109	],
110	"script": "src/wp30/analysis/analyze.py",	110	"script": "src/wp30/analysis/analyze.py",
111	− "generated_utc": "2026-10-30T04:16:28.986377Z",	111	+ "generated_utc": "2026-10-30T05:17:33.154858Z",
112	"note": ""	112	"note": ""
113	},	113	},
		114	+ "results/figures/fig5_handoffs.pdf": {
		115	+ "sources": [
		116	+ "runs/raw/E4_pilot.jsonl"
		117	+ ],
		118	+ "script": "src/wp30/analysis/analyze.py",
		119	+ "generated_utc": "2026-10-30T05:17:34.567038Z",
		120	+ "note": "means over documents; chains defined in configs/chains*.yaml"
		121	+ },
		122	+ "results/figures/fig5_handoffs.png": {
		123	+ "sources": [
		124	+ "runs/raw/E4_pilot.jsonl"
		125	+ ],
		126	+ "script": "src/wp30/analysis/analyze.py",
		127	+ "generated_utc": "2026-10-30T05:17:34.616672Z",
		128	+ "note": "means over documents; chains defined in configs/chains*.yaml"
		129	+ },
		130	+ "results/tables/E4_pilot_handoffs.csv": {
		131	+ "sources": [
		132	+ "runs/raw/E4_pilot.jsonl"
		133	+ ],
		134	+ "script": "src/wp30/analysis/analyze.py",
		135	+ "generated_utc": "2026-10-30T05:17:34.663073Z",
		136	+ "note": "repeated handoffs"
		137	+ },
		138	+ "results/tables/E4_pilot_h4_primary_tests.csv": {
		139	+ "sources": [
		140	+ "runs/raw/E4_pilot.jsonl"
		141	+ ],
		142	+ "script": "src/wp30/analysis/analyze.py",
		143	+ "generated_utc": "2026-10-30T05:17:34.672312Z",
		144	+ "note": "registered primary comparisons, paired, cluster bootstrap, Holm"
		145	+ },
		146	+ "results/figures/fig6_breakeven.pdf": {
		147	+ "sources": [
		148	+ "runs/raw/E6_core.jsonl"
		149	+ ],
		150	+ "script": "src/wp30/analysis/analyze.py",
		151	+ "generated_utc": "2026-10-30T05:17:34.765577Z",
		152	+ "note": "left = measured (medians, p25-p75); right = analytic model from measured bandwidth and prefill slope; dashed 10 Gb/s is hypothetical"
		153	+ },
		154	+ "results/figures/fig6_breakeven.png": {
		155	+ "sources": [
		156	+ "runs/raw/E6_core.jsonl"
		157	+ ],
		158	+ "script": "src/wp30/analysis/analyze.py",
		159	+ "generated_utc": "2026-10-30T05:17:34.841447Z",
		160	+ "note": "left = measured (medians, p25-p75); right = analytic model from measured bandwidth and prefill slope; dashed 10 Gb/s is hypothetical"
		161	+ },
		162	+ "results/tables/E6_network.csv": {
		163	+ "sources": [
		164	+ "runs/raw/E6_core.jsonl"
		165	+ ],
		166	+ "script": "src/wp30/analysis/analyze.py",
		167	+ "generated_utc": "2026-10-30T05:17:34.846667Z",
		168	+ "note": "two-node transfer measurements"
		169	+ },
114	"results/tables/ED_hosted.csv": {	170	"results/tables/ED_hosted.csv": {
115	"sources": [	171	"sources": [
116	"runs/raw/ED_hosted_pilot.jsonl"	172	"runs/raw/ED_hosted_pilot.jsonl"
117	],	173	],
118	"script": "src/wp30/analysis/analyze.py",	174	"script": "src/wp30/analysis/analyze.py",
119	− "generated_utc": "2026-10-30T04:16:29.006067Z",	175	+ "generated_utc": "2026-10-30T05:17:34.897707Z",
120	"note": "hosted receivers; cost estimated from provider price tables"	176	"note": "hosted receivers; cost estimated from provider price tables"
121	}	177	}
122	}	178	}
	\ No newline at end of file

added results/tables/E1_core_by_question_type.csv +65 −0

				@@ -0,0 +1,65 @@
		1	+condition,qtype,quality,lo,hi,n
		2	+A0,exact_copy,0.0,0.0,0.0,70
		3	+A0,multi_hop,0.0,0.0,0.0,35
		4	+A0,single_fact,0.0,0.0,0.0,70
		5	+A1,exact_copy,1.0,1.0,1.0,70
		6	+A1,multi_hop,0.9428571428571428,0.8571428571428571,1.0,35
		7	+A1,single_fact,1.0,1.0,1.0,70
		8	+A2|budget_tokens=512,exact_copy,0.14285714285714285,0.07142857142857142,0.22857142857142856,70
		9	+A2|budget_tokens=512,multi_hop,0.2,0.08571428571428572,0.34285714285714286,35
		10	+A2|budget_tokens=512,single_fact,0.2571428571428571,0.17142857142857143,0.34285714285714286,70
		11	+A3|budget_tokens=512|aware,exact_copy,1.0,1.0,1.0,70
		12	+A3|budget_tokens=512|aware,multi_hop,0.8571428571428571,0.7428571428571429,0.9714285714285714,35
		13	+A3|budget_tokens=512|aware,single_fact,1.0,1.0,1.0,70
		14	+A3|budget_tokens=512|blind,exact_copy,0.5,0.5,0.5,70
		15	+A3|budget_tokens=512|blind,multi_hop,0.8857142857142857,0.7850000000000004,0.9714285714285714,35
		16	+A3|budget_tokens=512|blind,single_fact,0.0,0.0,0.0,70
		17	+A4|budget_tokens=512|aware,exact_copy,0.8571428571428571,0.7142857142857143,0.9714285714285714,35
		18	+A4|budget_tokens=512|aware,single_fact,0.9857142857142858,0.9571428571428572,1.0,70
		19	+A4|budget_tokens=512|blind,exact_copy,0.4714285714285714,0.35714285714285715,0.6,70
		20	+A4|budget_tokens=512|blind,multi_hop,0.2857142857142857,0.14285714285714285,0.42857142857142855,35
		21	+A4|budget_tokens=512|blind,single_fact,0.3142857142857143,0.18571428571428572,0.44285714285714284,70
		22	+A5|budget_tokens=512|aware,exact_copy,1.0,1.0,1.0,34
		23	+A5|budget_tokens=512|aware,single_fact,1.0,1.0,1.0,68
		24	+A5|budget_tokens=512|blind,exact_copy,0.14705882352941177,0.07352941176470588,0.22058823529411764,68
		25	+A5|budget_tokens=512|blind,multi_hop,0.14705882352941177,0.029411764705882353,0.2647058823529412,34
		26	+A5|budget_tokens=512|blind,single_fact,0.17647058823529413,0.10294117647058823,0.25,68
		27	+A6|budget_tokens=512|max_fetch_bytes=2000|max_lookups=6|blind,exact_copy,0.1323529411764706,0.07352941176470588,0.22058823529411764,68
		28	+A6|budget_tokens=512|max_fetch_bytes=2000|max_lookups=6|blind,multi_hop,0.14705882352941177,0.029411764705882353,0.2647058823529412,34
		29	+A6|budget_tokens=512|max_fetch_bytes=2000|max_lookups=6|blind,single_fact,0.22058823529411764,0.1323529411764706,0.3235294117647059,68
		30	+A7|codec=zstd,exact_copy,1.0,1.0,1.0,68
		31	+A7|codec=zstd,multi_hop,0.9411764705882353,0.8529411764705882,1.0,34
		32	+A7|codec=zstd,single_fact,1.0,1.0,1.0,68
		33	+A8|budget_tokens=512|blind,exact_copy,0.10294117647058823,0.04411764705882353,0.17647058823529413,68
		34	+A8|budget_tokens=512|blind,multi_hop,0.0,0.0,0.0,34
		35	+A8|budget_tokens=512|blind,single_fact,0.22058823529411764,0.1323529411764706,0.3312499999999997,68
		36	+B0,exact_copy,1.0,1.0,1.0,68
		37	+B0,multi_hop,0.9411764705882353,0.8529411764705882,1.0,34
		38	+B0,single_fact,1.0,1.0,1.0,68
		39	+B1,exact_copy,1.0,1.0,1.0,68
		40	+B1,multi_hop,0.9411764705882353,0.8529411764705882,1.0,34
		41	+B1,single_fact,1.0,1.0,1.0,68
		42	+B2|bits=4,exact_copy,0.0,0.0,0.0,68
		43	+B2|bits=4,multi_hop,0.0,0.0,0.0,34
		44	+B2|bits=4,single_fact,0.0,0.0,0.0,68
		45	+B2|bits=8,exact_copy,1.0,1.0,1.0,68
		46	+B2|bits=8,multi_hop,0.9411764705882353,0.8529411764705882,1.0,34
		47	+B2|bits=8,single_fact,1.0,1.0,1.0,68
		48	+B3|keep_frac=0.25,exact_copy,0.3235294117647059,0.23529411764705882,0.40477941176470555,68
		49	+B3|keep_frac=0.25,multi_hop,0.058823529411764705,0.0,0.14705882352941177,34
		50	+B3|keep_frac=0.25,single_fact,0.14705882352941177,0.07352941176470588,0.23529411764705882,68
		51	+B4|keep_frac=0.25,exact_copy,0.0,0.0,0.0,68
		52	+B4|keep_frac=0.25,multi_hop,0.0,0.0,0.0,34
		53	+B4|keep_frac=0.25,single_fact,0.0,0.0,0.0,68
		54	+B5|keep_frac=0.25|aware,exact_copy,0.9411764705882353,0.8893382352941178,0.9852941176470589,68
		55	+B5|keep_frac=0.25|aware,multi_hop,0.5882352941176471,0.4411764705882353,0.7352941176470589,34
		56	+B5|keep_frac=0.25|aware,single_fact,0.6617647058823529,0.5882352941176471,0.7352941176470589,68
		57	+B5|keep_frac=0.25|blind,exact_copy,0.20588235294117646,0.11764705882352941,0.29411764705882354,68
		58	+B5|keep_frac=0.25|blind,multi_hop,0.058823529411764705,0.0,0.14705882352941177,34
		59	+B5|keep_frac=0.25|blind,single_fact,0.058823529411764705,0.014705882352941176,0.11764705882352941,68
		60	+B6|keep_frac=0.25|aware,exact_copy,0.8529411764705882,0.7794117647058824,0.9264705882352942,68
		61	+B6|keep_frac=0.25|aware,multi_hop,0.5294117647058824,0.38235294117647056,0.6764705882352942,34
		62	+B6|keep_frac=0.25|aware,single_fact,0.5147058823529411,0.5,0.5441176470588235,68
		63	+B9|bits=8|keep_frac=0.25|policy=attention|aware,exact_copy,0.9411764705882353,0.8893382352941178,0.9852941176470589,68
		64	+B9|bits=8|keep_frac=0.25|policy=attention|aware,multi_hop,0.6176470588235294,0.4411764705882353,0.7801470588235286,34
		65	+B9|bits=8|keep_frac=0.25|policy=attention|aware,single_fact,0.6617647058823529,0.5882352941176471,0.7352941176470589,68

added results/tables/E1_core_failures.csv +18 −0

				@@ -0,0 +1,18 @@
		1	+method_id,invalid_output,success
		2	+A0,0,175
		3	+A1,0,175
		4	+A2,0,175
		5	+A3,0,350
		6	+A4,0,280
		7	+A5,0,272
		8	+A6,0,170
		9	+A7,0,170
		10	+A8,0,170
		11	+B0,0,170
		12	+B1,0,170
		13	+B2,13,327
		14	+B3,0,170
		15	+B4,12,158
		16	+B5,0,340
		17	+B6,0,170
		18	+B9,0,170

added results/tables/E1_core_primary.csv +23 −0

				@@ -0,0 +1,23 @@
		1	+family,pair,condition,method,access,n,n_docs,quality,q_lo,q_hi,success_rate,payload_bytes_median,cache_bytes_median,cold_ms_p50,warm_ms_p50,amortized_ms_p50,ttft_ms_p50,peak_decode_mem_median,fetched_bytes_mean
		2	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,A0,A0,none,175,35,0.0,0.0,0.0,1.0,0.0,,50.39150104857981,50.38283404428512,50.38456744514406,13.24266695883125,6243951240.0,0.0
		3	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,A1,A1,none,175,35,0.9885714285714285,0.9714285714285714,1.0,1.0,29162.0,,970.1906249392778,970.1825840165839,970.1841922011226,14.666083035990596,7155474496.0,0.0
		4	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,A2|budget_tokens=512,A2,none,175,35,0.2,0.16,0.24,1.0,2246.0,,111.56629212200642,107.08154016174376,107.87064016330987,13.610875001177192,6567653464.0,0.0
		5	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,A3|budget_tokens=512|aware,A3,aware,175,35,0.9714285714285714,0.9485714285714286,0.9942857142857143,1.0,1365.0,,208.41120788827538,207.17641792725772,208.41120788827538,13.562750071287155,6562246744.0,0.0
		6	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,A3|budget_tokens=512|blind,A3,blind,175,35,0.37714285714285717,0.35428571428571426,0.3942857142857143,1.0,1246.0,,157.03170804772526,152.2996670100838,153.21449297480285,13.590875081717968,6562246744.0,0.0
		7	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,A4|budget_tokens=512|aware,A4,aware,105,35,0.9428571428571428,0.8857142857142857,0.9904761904761905,1.0,380.0,,3052.2540010279045,189.48554201051593,3052.2540010279045,13.359250035136938,6346302976.0,0.0
		8	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,A4|budget_tokens=512|blind,A4,blind,175,35,0.37142857142857144,0.28,0.4685714285714286,1.0,1440.0,,7431.057667010464,129.77629096712917,1631.4786000177264,13.581125065684319,6567358552.0,0.0
		9	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,A5|budget_tokens=512|aware,A5,aware,102,34,1.0,1.0,1.0,1.0,118.0,,2194.973748992197,178.98147902451456,2194.973748992197,13.401583069935441,6300656316.0,0.0
		10	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,A5|budget_tokens=512|blind,A5,blind,170,34,0.1588235294117647,0.12941176470588237,0.18235294117647058,1.0,828.0,,8171.243209391832,84.63735459372401,1730.138829536736,13.505270995665342,6529378068.0,0.0
		11	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,A6|budget_tokens=512|max_fetch_bytes=2000|max_lookups=6|blind,A6,blind,170,34,0.17058823529411765,0.13529411764705881,0.20588235294117646,1.0,636.5,,176.3136875233613,176.2877079891041,176.29290389595553,13.919333054218441,6808580172.0,1472.0529411764705
		12	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,A7|codec=zstd,A7,none,170,34,0.9882352941176471,0.9705882352941176,1.0,1.0,2725.0,,1041.768479917664,1041.6947924531996,1041.7095299460925,14.970291522331536,7155474496.0,0.0
		13	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,A8|budget_tokens=512|blind,A8,blind,170,34,0.12941176470588237,0.08235294117647059,0.18235294117647058,1.0,2571.0,,1328.1424794113263,162.30137506499887,366.3930131937377,13.771728496067226,6604304472.0,0.0
		14	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,B0,B0,blind,170,34,0.9882352941176471,0.9705882352941176,1.0,1.0,215449381.0,215433216.0,1806.011937558651,189.0929365181364,505.7045995024964,47.34012502012774,6901113148.0,0.0
		15	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,B1,B1,blind,170,34,0.9882352941176471,0.9705882352941176,1.0,1.0,215449409.0,215433216.0,1506.5432714764029,211.0927085741423,486.3688698387705,47.08545847097412,6901113148.0,0.0
		16	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,B2|bits=4,B2,blind,170,34,0.0,0.0,0.0,0.9235294117647059,60624832.0,60590592.0,1775.7291264715604,737.2901674243622,982.5587245519273,27.91222953237593,6614715196.0,0.0
		17	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,B2|bits=8,B2,blind,170,34,0.9882352941176471,0.9705882352941176,1.0,1.0,114483225.0,114448896.0,1257.6271875877865,180.21425051847473,405.6984704802744,30.57241643546149,6734196444.0,0.0
		18	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,B3|keep_frac=0.25,B3,blind,170,34,0.2,0.17058823529411765,0.22941176470588234,1.0,53874493.0,53858304.0,1208.6009380291216,124.03164606075734,359.70184119651094,24.07675050199032,6546047206.0,0.0
		19	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,B4|keep_frac=0.25,B4,blind,170,34,0.0,0.0,0.0,0.9294117647058824,53874487.5,53858304.0,1713.8423139113002,677.3689165711403,910.9542755642906,24.169479496777058,6546047206.0,0.0
		20	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,B5|keep_frac=0.25|aware,B5,aware,170,34,0.7588235294117647,0.6941176470588235,0.8176470588235294,1.0,53874532.0,53858304.0,1311.0786880133674,138.59477097867057,1311.0786880133674,23.73120852280408,6545719524.0,0.0
		21	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,B5|keep_frac=0.25|blind,B5,blind,170,34,0.11764705882352941,0.06470588235294118,0.17647058823529413,1.0,53874532.5,53858304.0,1312.3200226109475,102.40249993512407,356.17916370974854,23.995895986445248,6545719524.0,0.0
		22	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,B6|keep_frac=0.25|aware,B6,aware,170,34,0.6529411764705882,0.5941176470588235,0.711764705882353,1.0,53874422.0,53858304.0,1684.0188961941749,542.1115205390379,1684.0188961941749,419.2666039452888,6584735832.0,0.0
		23	+synthetic,Qwen2.5-3B-Instruct-bf16->Qwen2.5-3B-Instruct-bf16,B9|bits=8|keep_frac=0.25|policy=attention|aware,B9,aware,170,34,0.7647058823529411,0.7058823529411765,0.8235294117647058,1.0,28646537.0,28612224.0,1303.7285626051016,144.63060395792127,1303.7285626051016,21.587333467323333,6506365736.0,0.0

added results/tables/E1_core_primary_tests.csv +6 −0

				@@ -0,0 +1,6 @@
		1	+a,b,diff,lo,hi,p,n,n_clusters,mean_a,mean_b,rel_change,name,hypothesis,p_holm
		2	+A5|budget_tokens=512|blind,A4|budget_tokens=512|blind,-0.21764705882352942,-0.3176470588235294,-0.12352941176470589,0.0,170,34,0.1588235294117647,0.3764705882352941,-0.578125,"T1 A5 vs A4 (512, blind, synthetic)",RQ5/H1,0.0
		3	+B2|bits=8,B0,0.0,0.0,0.0,1.0,170,34,0.9882352941176471,0.9882352941176471,0.0,T2 B2-8bit vs B0,H2,1.0
		4	+B2|bits=4,B0,-0.9882352941176471,-1.0,-0.9705882352941176,0.0,170,34,0.0,0.9882352941176471,-1.0,T3 B2-4bit vs B0,H2,0.0
		5	+B5|keep_frac=0.25|aware,B3|keep_frac=0.25,0.5588235294117647,0.48823529411764705,0.6235294117647059,0.0,170,34,0.7588235294117647,0.2,2.7941176470588234,T4 B5-aware vs B3 (1/4),H3,0.0
		6	+A1,B0,0.0,0.0,0.0,1.0,170,34,0.9882352941176471,0.9882352941176471,0.0,"T6 A1 vs B0 (text vs native cache, same content)",consistency,1.0

added results/tables/E4_pilot_h4_primary_tests.csv +2 −0

				@@ -0,0 +1,2 @@
		1	+a,b,diff,lo,hi,p,n,n_clusters,mean_a,mean_b,rel_change,name,hypothesis,p_holm
		2	+A5|closed|qwen3b,A4|closed|qwen3b,-0.15555555555555556,-0.26666666666666666,-0.044166666666668186,0.016,90,6,0.23333333333333334,0.3888888888888889,-0.4,T5 A5 chain vs A4 chain at 4 handoffs (closed),H5,0.016

added results/tables/E4_pilot_handoffs.csv +13 −0

				@@ -0,0 +1,13 @@
		1	+chain,handoffs,accuracy,acc_lo,acc_hi,retention,ret_lo,ret_hi,unsupported_mean,fetched_bytes_mean,msg_bytes_mean,n,n_docs
		2	+A4|closed|qwen3b,1,0.35555555555555557,0.23861111111111122,0.45555555555555555,0.3411427188592271,0.24802696029262292,0.41230561174591024,0.0,0.0,1496.1666666666667,90,6
		3	+A4|closed|qwen3b,2,0.3888888888888889,0.26666666666666666,0.5,0.3411427188592271,0.24802696029262292,0.41230561174591024,0.0,0.0,1319.6666666666667,90,6
		4	+A4|closed|qwen3b,4,0.3888888888888889,0.26666666666666666,0.5,0.3411427188592271,0.24802696029262292,0.41230561174591024,0.0,0.0,1308.0,90,6
		5	+A4|repairable|qwen3b,1,0.35555555555555557,0.23861111111111122,0.45555555555555555,0.3411427188592271,0.24802696029262292,0.41230561174591024,0.0,0.0,1496.1666666666667,90,6
		6	+A4|repairable|qwen3b,2,0.37777777777777777,0.25555555555555554,0.4777777777777778,0.35717367518869075,0.25722446236559143,0.4332625448763508,0.0,841.0,1330.5,90,6
		7	+A4|repairable|qwen3b,4,0.4,0.28888888888888886,0.4777777777777778,0.3623820085220241,0.2618648870450786,0.4332625448763508,0.0,2523.0,1221.1666666666667,90,6
		8	+A5|closed|qwen3b,1,0.24444444444444444,0.2111111111111111,0.28888888888888886,0.18358831023356179,0.13623383339319786,0.22507474646000766,0.0,0.0,824.3333333333334,90,6
		9	+A5|closed|qwen3b,2,0.23333333333333334,0.2,0.2777777777777778,0.18867645125920282,0.14238196167631653,0.2268202257941064,0.0,0.0,799.5,90,6
		10	+A5|closed|qwen3b,4,0.23333333333333334,0.2,0.2777777777777778,0.18867645125920282,0.14238196167631653,0.2268202257941064,0.0,0.0,799.5,90,6
		11	+A5|repairable|qwen3b,1,0.24444444444444444,0.2111111111111111,0.28888888888888886,0.18358831023356179,0.13623383339319786,0.22507474646000766,0.0,0.0,824.3333333333334,90,6
		12	+A5|repairable|qwen3b,2,0.24444444444444444,0.2111111111111111,0.28888888888888886,0.20996848061574833,0.1863903767453057,0.23009174427959406,0.0,720.5,819.5,90,6
		13	+A5|repairable|qwen3b,4,0.24444444444444444,0.2111111111111111,0.28888888888888886,0.20996848061574833,0.1863903767453057,0.23009174427959406,0.0,1787.5,819.5,90,6

added results/tables/E6_network.csv +19 −0

				@@ -0,0 +1,19 @@
		1	+label,method,bits,codec,target_tokens,n,bytes,roundtrip_ms_p50,send_ms_p50,remote_load_ms_p50,remote_ttft_p50,remote_prefill_p50,eff_gbps,correct,local_prefill_p50,local_ttft_p50,remote_decode_p50
		2	+lan,B1,,none,2000,18,71974604.0,1141.0682704881765,582.8466879902408,14.371166529599577,137.31991651002318,,0.9254324526074698,1.0,,,355.0059790140949
		3	+lan,B1,,none,8000,18,215486247.0,2667.018833453767,1805.5645630229264,39.85322843072936,196.9017084920779,,0.9235836467576799,1.0,,,461.4051670068875
		4	+lan,B1,,none,16000,18,405815405.0,4453.494437446352,3433.713915932458,72.80125049874187,238.5944375419058,,0.9209816171104153,1.0,,,602.7200620155782
		5	+lan,B1,,zstd,2000,18,71974604.0,1084.9161460064352,444.3944585509598,83.68525002151728,139.11475002532825,,0.9150994733434414,1.0,,,365.122249990236
		6	+lan,B1,,zstd,8000,18,215486247.0,2424.4880829937756,1388.2532505085692,240.60777097474784,193.3201244683005,,0.915824857333317,1.0,,,446.31345791276544
		7	+lan,B1,,zstd,16000,18,405815405.0,3967.637834022753,2646.7615000437945,427.9795209877193,240.90118752792478,,0.9184908360866041,1.0,,,521.4174375287257
		8	+lan,B2,4.0,none,2000,18,20272367.0,1747.0715835224837,138.67695850785822,6.4079585135914385,121.12035450991243,,0.9136673786435414,0.0,,,1438.9247084618546
		9	+lan,B2,4.0,none,8000,18,60635179.0,2231.101604003925,482.8348124283366,14.84154158970341,136.53143751434982,,0.91348579263575,0.0,,,1519.0357704996131
		10	+lan,B2,4.0,none,16000,18,114165828.0,2872.7289164671674,939.1097919433378,24.307999468874186,167.80024947365746,,0.9167853410304264,0.0,,,1636.0245210235007
		11	+lan,B2,8.0,none,2000,18,38262137.0,1052.2061869851314,293.04660455090925,10.100167011842132,119.31358353467658,,0.913827491903402,1.0,,,575.5362290074117
		12	+lan,B2,8.0,none,8000,18,114502788.0,1676.0850210557692,941.5643539978191,25.120604026596993,141.16060349624604,,0.9142826777406476,1.0,,,492.0222085202113
		13	+lan,B2,8.0,none,16000,18,215615724.0,2681.69347953517,1804.4933750061318,42.92881244327873,164.5570209948346,,0.9145833581075375,1.0,,,511.545687506441
		14	+lan,text_remote_prefill,,none,2000,18,7259.5,1567.0107079204172,0.029500515665858984,,46.87483300222084,1160.1554374792613,,1.0,,,361.99316702550277
		15	+lan,text_remote_prefill,,none,8000,18,29286.0,3666.9509790372103,0.032729003578424454,,43.280771002173424,3241.15325009916,,1.0,,,389.8708130000159
		16	+lan,text_remote_prefill,,none,16000,18,58842.5,7552.801541460212,0.03768753958866,,42.491624946706,7043.001604033634,,1.0,,,441.7973959352821
		17	+local,local_prefill,,,2000,18,,,,,,,,1.0,943.6670205323026,127.3181255091913,
		18	+local,local_prefill,,,8000,18,,,,,,,,1.0,3261.6252915468067,192.03377101803198,
		19	+local,local_prefill,,,16000,18,,,,,,,,1.0,6912.2674585087225,258.25952051673084,

modified results/tables/ED_hosted.csv +30 −8

				@@ -1,9 +1,31 @@
1	family,provider_model,condition,quality,lo,hi,n,cost_usd_mean,ttft_ms_p50,total_ms_p50,success_rate	1	family,provider_model,condition,quality,lo,hi,n,cost_usd_mean,ttft_ms_p50,total_ms_p50,success_rate
2	−synthetic,anthropic,A0|anthropic|,0.0,0.0,0.0,5,,,,0.0	2	+exec,claude-haiku-4-5-20251001,A0|anthropic|,0.0,0.0,0.0,2,0.00045200000000000004,460.55416646413505,1190.856728469953,1.0
3	−synthetic,anthropic,A1|anthropic|,0.0,0.0,0.0,5,,,,0.0	3	+exec,claude-haiku-4-5-20251001,A1|anthropic|,1.0,1.0,1.0,2,0.0027229999999999997,437.0991045143455,1361.941104521975,1.0
4	−synthetic,anthropic,A1|anthropic|provider_cache=True,0.0,0.0,0.0,5,,,,0.0	4	+exec,claude-haiku-4-5-20251001,A1|anthropic|provider_cache=True,1.0,1.0,1.0,2,0.002728,408.70312548941,1359.8948334692977,1.0
5	−synthetic,anthropic,A4|anthropic|budget_tokens=512,0.0,0.0,0.0,5,,,,0.0	5	+exec,claude-haiku-4-5-20251001,A4|anthropic|budget_tokens=512,0.5,0.0,1.0,2,0.0009205,416.973645449616,13922.582250030246,1.0
6	−synthetic,anthropic,A5|anthropic|budget_tokens=512,0.0,0.0,0.0,5,,,,0.0	6	+exec,claude-haiku-4-5-20251001,A5|anthropic|budget_tokens=512,0.5,0.0,1.0,2,0.0011785,406.2307709828019,11177.729208953679,1.0
7	−synthetic,gpt-5-nano-2025-08-07,A0|openai|,0.0,0.0,0.0,5,1.0850000000000001e-05,,1124.6261249762028,1.0	7	+exec,gpt-5-nano-2025-08-07,A0|openai|,0.0,0.0,0.0,2,8.25e-05,,2476.5294790267944,1.0
8	−synthetic,gpt-5-nano-2025-08-07,A1|openai|,1.0,1.0,1.0,5,8.5524e-05,,982.3185830609873,1.0	8	+exec,gpt-5-nano-2025-08-07,A1|openai|,1.0,1.0,1.0,2,0.000168625,,3379.9536040751263,1.0
9	−synthetic,gpt-5-nano-2025-08-07,A1|openai|provider_cache=True,1.0,1.0,1.0,5,2.562e-05,,814.3011669162661,1.0	9	+exec,gpt-5-nano-2025-08-07,A1|openai|provider_cache=True,1.0,1.0,1.0,2,0.000165625,,2359.246875043027,1.0
		10	+exec,gpt-5-nano-2025-08-07,A4|openai|budget_tokens=512,0.5,0.0,1.0,2,0.000109025,,14741.153624490835,1.0
		11	+exec,gpt-5-nano-2025-08-07,A5|openai|budget_tokens=512,0.5,0.0,1.0,2,9.980000000000001e-05,,12000.74629142182,1.0
		12	+public_qasper,claude-haiku-4-5-20251001,A0|anthropic|,0.0,0.0,0.0,2,8.099999999999999e-05,429.7979999682866,462.2769169509411,1.0
		13	+public_qasper,claude-haiku-4-5-20251001,A1|anthropic|,0.2670454545454546,0.125,0.4090909090909091,2,0.0043159999999999995,506.47239544196054,829.3312710011378,1.0
		14	+public_qasper,claude-haiku-4-5-20251001,A1|anthropic|provider_cache=True,0.2988235294117647,0.11764705882352941,0.48,2,0.004982375,508.6571045103483,902.2489790222608,1.0
		15	+public_qasper,claude-haiku-4-5-20251001,A4|anthropic|budget_tokens=512,0.0,0.0,0.0,2,0.0005555,403.8986465311609,14453.188042039983,1.0
		16	+public_qasper,claude-haiku-4-5-20251001,A5|anthropic|budget_tokens=512,0.0,0.0,0.0,2,0.000359,651.0722080129199,21799.3393955403,1.0
		17	+public_qasper,gpt-5-nano-2025-08-07,A0|openai|,0.13636363636363635,0.0,0.2727272727272727,2,1.34e-05,,1065.4002914670855,1.0
		18	+public_qasper,gpt-5-nano-2025-08-07,A1|openai|,0.2608695652173913,0.0,0.5217391304347826,2,0.00020015,,1249.2346040089615,1.0
		19	+public_qasper,gpt-5-nano-2025-08-07,A1|openai|provider_cache=True,0.0,0.0,0.0,2,3.371e-05,,1359.2887704726309,1.0
		20	+public_qasper,gpt-5-nano-2025-08-07,A4|openai|budget_tokens=512,0.0,0.0,0.0,2,2.595e-05,,15146.043936954811,1.0
		21	+public_qasper,gpt-5-nano-2025-08-07,A5|openai|budget_tokens=512,0.0,0.0,0.0,2,2.4375000000000003e-05,,22089.14725051727,1.0
		22	+synthetic,claude-haiku-4-5-20251001,A0|anthropic|,0.0,0.0,0.0,10,8.450000000000001e-05,731.1436460004188,764.0473959618248,1.0
		23	+synthetic,claude-haiku-4-5-20251001,A1|anthropic|,1.0,1.0,1.0,10,0.0041795,909.5747084938921,1024.321937467903,1.0
		24	+synthetic,claude-haiku-4-5-20251001,A1|anthropic|provider_cache=True,1.0,1.0,1.0,10,0.0021281299999999998,633.088978996966,688.6951045016758,1.0
		25	+synthetic,claude-haiku-4-5-20251001,A4|anthropic|budget_tokens=512,0.3,0.2,0.4,10,0.000641,665.2437084703706,41555.6893760222,1.0
		26	+synthetic,claude-haiku-4-5-20251001,A5|anthropic|budget_tokens=512,0.1,0.0,0.2,10,0.00043750000000000006,1539.5217915065587,38661.886979069095,1.0
		27	+synthetic,gpt-5-nano-2025-08-07,A0|openai|,0.0,0.0,0.0,10,1.0835000000000002e-05,,1841.3237500353716,1.0
		28	+synthetic,gpt-5-nano-2025-08-07,A1|openai|,1.0,1.0,1.0,10,8.901400000000001e-05,,1116.5167084545828,1.0
		29	+synthetic,gpt-5-nano-2025-08-07,A1|openai|provider_cache=True,1.0,1.0,1.0,10,3.487e-05,,1043.0729584768414,1.0
		30	+synthetic,gpt-5-nano-2025-08-07,A4|openai|budget_tokens=512,0.3,0.2,0.4,10,3.4145000000000006e-05,,37726.64497885853,1.0
		31	+synthetic,gpt-5-nano-2025-08-07,A5|openai|budget_tokens=512,0.1,0.0,0.2,10,2.7650000000000005e-05,,26799.245104019064,1.0

added runs/raw/E1_core.jsonl +3841 −0

				@@ -0,0 +1,3841 @@
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		2003	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "08904f759e20a760b36ceef0", "attempt_id": "3c5f2faace89", "run_group_id": "E1_core:B5|keep_frac=0.25|blind", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:00.979532Z", "task_family": "synthetic", "document_id": "syn_03018_2000", "document_hash": "d284eb07e27da742b9c2b67abccfdf72e4dd67c3259f44f3b41e34dd3e6fc1ff", "question_id": "q03_exact_copy", "split": "test", "cluster_id": "syn_03018_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6266249224}, "weight_precision": "bf16", "method_id": "B5", "implementation_fidelity": "faithful_reimplementation", "compression_config": {"keep_frac": 0.25, "access": "blind", "realized": {"policy": "attention", "keep_frac": 0.25, "T": 2021, "keep": 505, "window_tokens": 19, "compress_ms": 38.715792004950345}}, "question_access": "blind", "topology": "single_handoff", "handoff_index": 1, "reuse_count": 5, "cache_hit": true, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1982, "source_tokens_receiver": 1982, "query_tokens": 39, "message_tokens": 2021, "message_utf8_bytes": 7313, "cache_tensor_bytes": 18616320, "serialized_payload_bytes": 18632278, "side_information_bytes": 15958, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 42.318958905525506, "doc_prefill_ms": 277.40579191595316, "compress_ms": 38.84058294352144, "serialize_ms": 3.312291926704347, "load_ms": 0.6089169764891267, "receiver_prefill_ms": 0.0, "query_prefill_ms": 17.584041925147176, "ttft_ms": 17.584041925147176, "decode_ms": 13.418624992482364}, "total_wall_ms": 33.0525420140475, "ttft_ms": 17.584041925147176, "input_usage": {"receiver_prefix_tokens": 2021, "dense_cache_bytes": 74502144, "query_tokens": 39}, "output_usage": {"output_tokens": 1}, "provider_cached_usage": null, "process_memory": 928743424, "backend_memory": {"mlx_active_bytes": 6287974408, "mlx_peak_bytes": 6327410920, "mlx_cache_bytes": 13606502182, "process_rss_bytes": 928743424}, "peak_prefill_memory": 7052984384, "peak_decode_memory": 6327410920, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "unknown", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03018_2000.json", "task_scores": {"correct": 0.0, "abstained": 1.0, "f1": 0.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "883754d6d981cc75f020d770fad68cd50aab81162de625110bb43270d399e54f", "output_hash": "b23a6a8439c0dde5515893e7c90c1e3233b8616e634470f20dc4928bcf3609bc"}
		2004	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "341e3ed4543810a7cb5d2a58", "attempt_id": "0fd66b2a40fd", "run_group_id": "E1_core:B5|keep_frac=0.25|blind", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:01.031399Z", "task_family": "synthetic", "document_id": "syn_03018_2000", "document_hash": "d284eb07e27da742b9c2b67abccfdf72e4dd67c3259f44f3b41e34dd3e6fc1ff", "question_id": "q04_multi_hop", "split": "test", "cluster_id": "syn_03018_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6266249224}, "weight_precision": "bf16", "method_id": "B5", "implementation_fidelity": "faithful_reimplementation", "compression_config": {"keep_frac": 0.25, "access": "blind", "realized": {"policy": "attention", "keep_frac": 0.25, "T": 2021, "keep": 505, "window_tokens": 19, "compress_ms": 38.715792004950345}}, "question_access": "blind", "topology": "single_handoff", "handoff_index": 1, "reuse_count": 5, "cache_hit": true, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1982, "source_tokens_receiver": 1982, "query_tokens": 45, "message_tokens": 2021, "message_utf8_bytes": 7313, "cache_tensor_bytes": 18616320, "serialized_payload_bytes": 18632278, "side_information_bytes": 15958, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 42.318958905525506, "doc_prefill_ms": 277.40579191595316, "compress_ms": 38.84058294352144, "serialize_ms": 3.312291926704347, "load_ms": 1.5047499909996986, "receiver_prefill_ms": 0.0, "query_prefill_ms": 18.599792034365237, "ttft_ms": 18.599792034365237, "decode_ms": 13.426500023342669}, "total_wall_ms": 35.03999998793006, "ttft_ms": 18.599792034365237, "input_usage": {"receiver_prefix_tokens": 2021, "dense_cache_bytes": 74502144, "query_tokens": 45}, "output_usage": {"output_tokens": 1}, "provider_cached_usage": null, "process_memory": 928743424, "backend_memory": {"mlx_active_bytes": 6287777800, "mlx_peak_bytes": 6331965684, "mlx_cache_bytes": 13606698790, "process_rss_bytes": 928743424}, "peak_prefill_memory": 7052984384, "peak_decode_memory": 6331965684, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "unknown", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03018_2000.json", "task_scores": {"correct": 0.0, "abstained": 1.0, "f1": 0.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "883754d6d981cc75f020d770fad68cd50aab81162de625110bb43270d399e54f", "output_hash": "b23a6a8439c0dde5515893e7c90c1e3233b8616e634470f20dc4928bcf3609bc"}
		2005	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "68860f62a07d2799f4106383", "attempt_id": "67dfda6746c1", "run_group_id": "E1_core:B6|keep_frac=0.25|aware", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:01.085880Z", "task_family": "synthetic", "document_id": "syn_03018_2000", "document_hash": "d284eb07e27da742b9c2b67abccfdf72e4dd67c3259f44f3b41e34dd3e6fc1ff", "question_id": "q00_single_fact", "split": "test", "cluster_id": "syn_03018_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6247374856}, "weight_precision": "bf16", "method_id": "B6", "implementation_fidelity": "faithful_reimplementation", "compression_config": {"keep_frac": 0.25, "access": "aware", "realized": {"policy": "pyramid", "keep_frac": 0.25, "T": 2021, "keep": 505, "window_tokens": 36, "compress_ms": 49.03429199475795}}, "question_access": "aware", "topology": "single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1982, "source_tokens_receiver": 1982, "query_tokens": 36, "message_tokens": 2021, "message_utf8_bytes": 7313, "cache_tensor_bytes": 18616320, "serialized_payload_bytes": 18632231, "side_information_bytes": 15911, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 55.576249957084656, "doc_prefill_ms": 277.40579191595316, "compress_ms": 50.524584017693996, "serialize_ms": 4.816708969883621, "load_ms": 0.9250420844182372, "receiver_prefill_ms": 0.0, "query_prefill_ms": 343.1846249150112, "ttft_ms": 343.1846249150112, "decode_ms": 67.0551669318229}, "total_wall_ms": 468.34662498440593, "ttft_ms": 343.1846249150112, "input_usage": {"receiver_prefix_tokens": 2021, "dense_cache_bytes": 74502144, "query_tokens": 36}, "output_usage": {"output_tokens": 5}, "provider_cached_usage": null, "process_memory": 947765248, "backend_memory": {"mlx_active_bytes": 6287581192, "mlx_peak_bytes": 6315791916, "mlx_cache_bytes": 13639396222, "process_rss_bytes": 947765248}, "peak_prefill_memory": 7052984384, "peak_decode_memory": 6315791916, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "HQ-333", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03018_2000.json", "task_scores": {"correct": 0.0, "abstained": 0.0, "f1": 0.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "11e90eb5735abe67a487b52e99da24a80ebca754edba2024109f5096c3e6d4f1", "output_hash": "6f033b340fefeb9bfdda2be6298b2f86403d47ac2705b0324367c29cdb218b79"}
		2006	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "0632581e019248c66f2af8e6", "attempt_id": "faef4872b7ac", "run_group_id": "E1_core:B6|keep_frac=0.25|aware", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:01.573933Z", "task_family": "synthetic", "document_id": "syn_03018_2000", "document_hash": "d284eb07e27da742b9c2b67abccfdf72e4dd67c3259f44f3b41e34dd3e6fc1ff", "question_id": "q01_single_fact", "split": "test", "cluster_id": "syn_03018_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6247374856}, "weight_precision": "bf16", "method_id": "B6", "implementation_fidelity": "faithful_reimplementation", "compression_config": {"keep_frac": 0.25, "access": "aware", "realized": {"policy": "pyramid", "keep_frac": 0.25, "T": 2021, "keep": 505, "window_tokens": 42, "compress_ms": 41.677959030494094}}, "question_access": "aware", "topology": "single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1982, "source_tokens_receiver": 1982, "query_tokens": 42, "message_tokens": 2021, "message_utf8_bytes": 7313, "cache_tensor_bytes": 18616320, "serialized_payload_bytes": 18632232, "side_information_bytes": 15912, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 48.25154191348702, "doc_prefill_ms": 277.40579191595316, "compress_ms": 43.148625059984624, "serialize_ms": 4.861208028160036, "load_ms": 0.71237504016608, "receiver_prefill_ms": 0.0, "query_prefill_ms": 397.54104195162654, "ttft_ms": 397.54104195162654, "decode_ms": 161.47891606669873}, "total_wall_ms": 609.6090000355616, "ttft_ms": 397.54104195162654, "input_usage": {"receiver_prefix_tokens": 2021, "dense_cache_bytes": 74502144, "query_tokens": 42}, "output_usage": {"output_tokens": 12}, "provider_cached_usage": null, "process_memory": 965656576, "backend_memory": {"mlx_active_bytes": 6287908872, "mlx_peak_bytes": 6317250212, "mlx_cache_bytes": 13646033446, "process_rss_bytes": 965656576}, "peak_prefill_memory": 7052984384, "peak_decode_memory": 6317250212, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "Lot 376-E, Baie-Comeau", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03018_2000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 0.8571428571428571}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "f0b24669cbf84839d2ae9ec9aeec4669f594b00e8c9404cbf6b0a01329d2c23f", "output_hash": "b58829a1440993c4af3307ba44494f021d726fd11e9337888b6b852a8b37351a"}
		2007	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "8840eef4a41eda7f00049665", "attempt_id": "263466527241", "run_group_id": "E1_core:B6|keep_frac=0.25|aware", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:02.203151Z", "task_family": "synthetic", "document_id": "syn_03018_2000", "document_hash": "d284eb07e27da742b9c2b67abccfdf72e4dd67c3259f44f3b41e34dd3e6fc1ff", "question_id": "q02_exact_copy", "split": "test", "cluster_id": "syn_03018_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6247374856}, "weight_precision": "bf16", "method_id": "B6", "implementation_fidelity": "faithful_reimplementation", "compression_config": {"keep_frac": 0.25, "access": "aware", "realized": {"policy": "pyramid", "keep_frac": 0.25, "T": 2021, "keep": 505, "window_tokens": 41, "compress_ms": 42.24679106846452}}, "question_access": "aware", "topology": "single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1982, "source_tokens_receiver": 1982, "query_tokens": 41, "message_tokens": 2021, "message_utf8_bytes": 7313, "cache_tensor_bytes": 18616320, "serialized_payload_bytes": 18632231, "side_information_bytes": 15911, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 48.82129200268537, "doc_prefill_ms": 277.40579191595316, "compress_ms": 43.634959030896425, "serialize_ms": 4.961624974384904, "load_ms": 1.0292920051142573, "receiver_prefill_ms": 0.0, "query_prefill_ms": 387.6517090247944, "ttft_ms": 387.6517090247944, "decode_ms": 93.79008295945823}, "total_wall_ms": 532.9360000323504, "ttft_ms": 387.6517090247944, "input_usage": {"receiver_prefix_tokens": 2021, "dense_cache_bytes": 74502144, "query_tokens": 41}, "output_usage": {"output_tokens": 7}, "provider_cached_usage": null, "process_memory": 981024768, "backend_memory": {"mlx_active_bytes": 6287712264, "mlx_peak_bytes": 6317023892, "mlx_cache_bytes": 13646230054, "process_rss_bytes": 981024768}, "peak_prefill_memory": 7052984384, "peak_decode_memory": 6317023892, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "77.6813", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03018_2000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 1.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "11e90eb5735abe67a487b52e99da24a80ebca754edba2024109f5096c3e6d4f1", "output_hash": "f46ae019c46016565ffc65d1a0d3d6edb83df7b3bebd11718e16031b63b695ef"}
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		2009	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "7af47639c4ea512c7e0d3117", "attempt_id": "bdf6eed480de", "run_group_id": "E1_core:B6|keep_frac=0.25|aware", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:03.315043Z", "task_family": "synthetic", "document_id": "syn_03018_2000", "document_hash": "d284eb07e27da742b9c2b67abccfdf72e4dd67c3259f44f3b41e34dd3e6fc1ff", "question_id": "q04_multi_hop", "split": "test", "cluster_id": "syn_03018_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6247374856}, "weight_precision": "bf16", "method_id": "B6", "implementation_fidelity": "faithful_reimplementation", "compression_config": {"keep_frac": 0.25, "access": "aware", "realized": {"policy": "pyramid", "keep_frac": 0.25, "T": 2021, "keep": 505, "window_tokens": 45, "compress_ms": 42.32529201544821}}, "question_access": "aware", "topology": "single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1982, "source_tokens_receiver": 1982, "query_tokens": 45, "message_tokens": 2021, "message_utf8_bytes": 7313, "cache_tensor_bytes": 18616320, "serialized_payload_bytes": 18632231, "side_information_bytes": 15911, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 48.40616590809077, "doc_prefill_ms": 277.40579191595316, "compress_ms": 43.756249942816794, "serialize_ms": 4.417791962623596, "load_ms": 1.2536250287666917, "receiver_prefill_ms": 0.0, "query_prefill_ms": 422.96295799314976, "ttft_ms": 422.96295799314976, "decode_ms": 94.55666691064835}, "total_wall_ms": 568.7682500574738, "ttft_ms": 422.96295799314976, "input_usage": {"receiver_prefix_tokens": 2021, "dense_cache_bytes": 74502144, "query_tokens": 45}, "output_usage": {"output_tokens": 7}, "provider_cached_usage": null, "process_memory": 1010876416, "backend_memory": {"mlx_active_bytes": 6287843336, "mlx_peak_bytes": 6317897440, "mlx_cache_bytes": 13647140218, "process_rss_bytes": 1010876416}, "peak_prefill_memory": 7052984384, "peak_decode_memory": 6317897440, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "7291250", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03018_2000.json", "task_scores": {"correct": 0.0, "abstained": 0.0, "f1": 0.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "11e90eb5735abe67a487b52e99da24a80ebca754edba2024109f5096c3e6d4f1", "output_hash": "24dc709ce577993d1fa367b20fc9ac3e608fa7af0aac6265ead79b82b0147aba"}
		2010	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "7f04f7291d39074c2144ce61", "attempt_id": "5c935369361d", "run_group_id": "E1_core:B9|bits=8|keep_frac=0.25|policy=attention|aware", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:03.904610Z", "task_family": "synthetic", "document_id": "syn_03018_2000", "document_hash": "d284eb07e27da742b9c2b67abccfdf72e4dd67c3259f44f3b41e34dd3e6fc1ff", "question_id": "q00_single_fact", "split": "test", "cluster_id": "syn_03018_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6247374856}, "weight_precision": "bf16", "method_id": "B9", "implementation_fidelity": "custom", "compression_config": {"keep_frac": 0.25, "bits": 8, "access": "aware", "policy": "attention", "realized": {"policy": "attention", "keep_frac": 0.25, "T": 2021, "keep": 505, "window_tokens": 36, "compress_ms": 41.48041608277708, "bits": 8}}, "question_access": "aware", "topology": "single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1982, "source_tokens_receiver": 1982, "query_tokens": 36, "message_tokens": 2021, "message_utf8_bytes": 7313, "cache_tensor_bytes": 9889920, "serialized_payload_bytes": 9923441, "side_information_bytes": 33521, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 55.461499956436455, "doc_prefill_ms": 277.40579191595316, "compress_ms": 49.87870901823044, "serialize_ms": 5.16366702504456, "load_ms": 1.4151670038700104, "receiver_prefill_ms": 0.0, "query_prefill_ms": 17.80604210216552, "ttft_ms": 17.80604210216552, "decode_ms": 85.89999994728714}, "total_wall_ms": 162.08687506150454, "ttft_ms": 17.80604210216552, "input_usage": {"receiver_prefix_tokens": 2021, "dense_cache_bytes": 74502144, "query_tokens": 36}, "output_usage": {"output_tokens": 6}, "provider_cached_usage": null, "process_memory": 1015529472, "backend_memory": {"mlx_active_bytes": 6268853628, "mlx_peak_bytes": 6309499424, "mlx_cache_bytes": 13677386222, "process_rss_bytes": 1015529472}, "peak_prefill_memory": 7052984384, "peak_decode_memory": 6309499424, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "HQ-3331", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03018_2000.json", "task_scores": {"correct": 0.0, "abstained": 0.0, "f1": 0.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "6a74ecf8ddfa586fcf793990875c8a28ebe8de35f6e8884776572422bee56b60", "output_hash": "8f271365063d5f3a770a2532418a7b75285617ed210cf82dcbbf814a28e84c45"}
		2011	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "13b89b141fc20b4c97407192", "attempt_id": "db69cce1f284", "run_group_id": "E1_core:B9|bits=8|keep_frac=0.25|policy=attention|aware", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:04.086961Z", "task_family": "synthetic", "document_id": "syn_03018_2000", "document_hash": "d284eb07e27da742b9c2b67abccfdf72e4dd67c3259f44f3b41e34dd3e6fc1ff", "question_id": "q01_single_fact", "split": "test", "cluster_id": "syn_03018_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6247374856}, "weight_precision": "bf16", "method_id": "B9", "implementation_fidelity": "custom", "compression_config": {"keep_frac": 0.25, "bits": 8, "access": "aware", "policy": "attention", "realized": {"policy": "attention", "keep_frac": 0.25, "T": 2021, "keep": 505, "window_tokens": 42, "compress_ms": 42.349333059974015, "bits": 8}}, "question_access": "aware", "topology": "single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1982, "source_tokens_receiver": 1982, "query_tokens": 42, "message_tokens": 2021, "message_utf8_bytes": 7313, "cache_tensor_bytes": 9889920, "serialized_payload_bytes": 9923442, "side_information_bytes": 33522, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 55.644792038947344, "doc_prefill_ms": 277.40579191595316, "compress_ms": 50.93304195906967, "serialize_ms": 4.284166963770986, "load_ms": 1.5228750417008996, "receiver_prefill_ms": 0.0, "query_prefill_ms": 17.703625024296343, "ttft_ms": 17.703625024296343, "decode_ms": 172.38337500020862}, "total_wall_ms": 248.83133301045746, "ttft_ms": 17.703625024296343, "input_usage": {"receiver_prefix_tokens": 2021, "dense_cache_bytes": 74502144, "query_tokens": 42}, "output_usage": {"output_tokens": 12}, "provider_cached_usage": null, "process_memory": 1016135680, "backend_memory": {"mlx_active_bytes": 6268817036, "mlx_peak_bytes": 6315634800, "mlx_cache_bytes": 13689420278, "process_rss_bytes": 1016135680}, "peak_prefill_memory": 7052984384, "peak_decode_memory": 6315634800, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "Lot 376-E, Baie-Comeau", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03018_2000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 0.8571428571428571}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "fcad15f9a99e31da76926283ddd811b5c7d6fdbaf22dc1c1e28b19ce6e090052", "output_hash": "b58829a1440993c4af3307ba44494f021d726fd11e9337888b6b852a8b37351a"}
		2012	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "49609701ca4409e5bac45baa", "attempt_id": "6c1217aa842e", "run_group_id": "E1_core:B9|bits=8|keep_frac=0.25|policy=attention|aware", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:04.355611Z", "task_family": "synthetic", "document_id": "syn_03018_2000", "document_hash": "d284eb07e27da742b9c2b67abccfdf72e4dd67c3259f44f3b41e34dd3e6fc1ff", "question_id": "q02_exact_copy", "split": "test", "cluster_id": "syn_03018_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6247374856}, "weight_precision": "bf16", "method_id": "B9", "implementation_fidelity": "custom", "compression_config": {"keep_frac": 0.25, "bits": 8, "access": "aware", "policy": "attention", "realized": {"policy": "attention", "keep_frac": 0.25, "T": 2021, "keep": 505, "window_tokens": 41, "compress_ms": 42.15837502852082, "bits": 8}}, "question_access": "aware", "topology": "single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1982, "source_tokens_receiver": 1982, "query_tokens": 41, "message_tokens": 2021, "message_utf8_bytes": 7313, "cache_tensor_bytes": 9889920, "serialized_payload_bytes": 9923441, "side_information_bytes": 33521, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 54.83766598626971, "doc_prefill_ms": 277.40579191595316, "compress_ms": 50.585499964654446, "serialize_ms": 3.846875042654574, "load_ms": 1.0961249936372042, "receiver_prefill_ms": 0.0, "query_prefill_ms": 17.756208078935742, "ttft_ms": 17.756208078935742, "decode_ms": 99.93262495845556}, "total_wall_ms": 175.1683340407908, "ttft_ms": 17.756208078935742, "input_usage": {"receiver_prefix_tokens": 2021, "dense_cache_bytes": 74502144, "query_tokens": 41}, "output_usage": {"output_tokens": 7}, "provider_cached_usage": null, "process_memory": 1016201216, "backend_memory": {"mlx_active_bytes": 6268652112, "mlx_peak_bytes": 6317286284, "mlx_cache_bytes": 13693189682, "process_rss_bytes": 1016201216}, "peak_prefill_memory": 7052984384, "peak_decode_memory": 6317286284, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "77.6813", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03018_2000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 1.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "6a74ecf8ddfa586fcf793990875c8a28ebe8de35f6e8884776572422bee56b60", "output_hash": "f46ae019c46016565ffc65d1a0d3d6edb83df7b3bebd11718e16031b63b695ef"}
		2013	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "79c40bd1a6ce76224fc395aa", "attempt_id": "3cd766edca84", "run_group_id": "E1_core:B9|bits=8|keep_frac=0.25|policy=attention|aware", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:04.550849Z", "task_family": "synthetic", "document_id": "syn_03018_2000", "document_hash": "d284eb07e27da742b9c2b67abccfdf72e4dd67c3259f44f3b41e34dd3e6fc1ff", "question_id": "q03_exact_copy", "split": "test", "cluster_id": "syn_03018_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6247374856}, "weight_precision": "bf16", "method_id": "B9", "implementation_fidelity": "custom", "compression_config": {"keep_frac": 0.25, "bits": 8, "access": "aware", "policy": "attention", "realized": {"policy": "attention", "keep_frac": 0.25, "T": 2021, "keep": 505, "window_tokens": 39, "compress_ms": 41.83979099616408, "bits": 8}}, "question_access": "aware", "topology": "single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1982, "source_tokens_receiver": 1982, "query_tokens": 39, "message_tokens": 2021, "message_utf8_bytes": 7313, "cache_tensor_bytes": 9889920, "serialized_payload_bytes": 9923441, "side_information_bytes": 33521, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 54.94720803108066, "doc_prefill_ms": 277.40579191595316, "compress_ms": 50.07395800203085, "serialize_ms": 4.450874985195696, "load_ms": 1.399042084813118, "receiver_prefill_ms": 0.0, "query_prefill_ms": 17.91924994904548, "ttft_ms": 17.91924994904548, "decode_ms": 129.36770892702043}, "total_wall_ms": 205.2034999942407, "ttft_ms": 17.91924994904548, "input_usage": {"receiver_prefix_tokens": 2021, "dense_cache_bytes": 74502144, "query_tokens": 39}, "output_usage": {"output_tokens": 9}, "provider_cached_usage": null, "process_memory": 1016201216, "backend_memory": {"mlx_active_bytes": 6268652200, "mlx_peak_bytes": 6315497956, "mlx_cache_bytes": 13699382746, "process_rss_bytes": 1016201216}, "peak_prefill_memory": 7052984384, "peak_decode_memory": 6315497956, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "Priyamvada Sørlie", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03018_2000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 1.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "6a74ecf8ddfa586fcf793990875c8a28ebe8de35f6e8884776572422bee56b60", "output_hash": "c5f554196ed23dd71ad995ec89f7142099d524dbb6534cc10d94a0c89d13e792"}
		2014	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "87f2f669690c8f45fd3d31f0", "attempt_id": "273bf40c15ff", "run_group_id": "E1_core:B9|bits=8|keep_frac=0.25|policy=attention|aware", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:04.775793Z", "task_family": "synthetic", "document_id": "syn_03018_2000", "document_hash": "d284eb07e27da742b9c2b67abccfdf72e4dd67c3259f44f3b41e34dd3e6fc1ff", "question_id": "q04_multi_hop", "split": "test", "cluster_id": "syn_03018_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6247374856}, "weight_precision": "bf16", "method_id": "B9", "implementation_fidelity": "custom", "compression_config": {"keep_frac": 0.25, "bits": 8, "access": "aware", "policy": "attention", "realized": {"policy": "attention", "keep_frac": 0.25, "T": 2021, "keep": 505, "window_tokens": 45, "compress_ms": 41.981374961324036, "bits": 8}}, "question_access": "aware", "topology": "single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1982, "source_tokens_receiver": 1982, "query_tokens": 45, "message_tokens": 2021, "message_utf8_bytes": 7313, "cache_tensor_bytes": 9889920, "serialized_payload_bytes": 9923442, "side_information_bytes": 33522, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 55.46891700942069, "doc_prefill_ms": 277.40579191595316, "compress_ms": 50.78074999619275, "serialize_ms": 4.266957985237241, "load_ms": 1.2351250043138862, "receiver_prefill_ms": 0.0, "query_prefill_ms": 17.94787507969886, "ttft_ms": 17.94787507969886, "decode_ms": 129.017416969873}, "total_wall_ms": 205.17070894129574, "ttft_ms": 17.94787507969886, "input_usage": {"receiver_prefix_tokens": 2021, "dense_cache_bytes": 74502144, "query_tokens": 45}, "output_usage": {"output_tokens": 9}, "provider_cached_usage": null, "process_memory": 1016201216, "backend_memory": {"mlx_active_bytes": 6268872004, "mlx_peak_bytes": 6318862168, "mlx_cache_bytes": 13699216606, "process_rss_bytes": 1016201216}, "peak_prefill_memory": 7052984384, "peak_decode_memory": 6318862168, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "7,296,125", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03018_2000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 1.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "fcad15f9a99e31da76926283ddd811b5c7d6fdbaf22dc1c1e28b19ce6e090052", "output_hash": "8b531ccf7fd3b97bf2ef32627da2617b8353e5c2dd09a274017a5a5a868bdcdb"}
		2015	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "697b796fdb73e8be4d21c0ff", "attempt_id": "3df1ecbcd4d7", "run_group_id": "E1_core:A0", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:05.094626Z", "task_family": "synthetic", "document_id": "syn_03019_8000", "document_hash": "f8991a6ada3dde65b1427947e7dcf1f720fb02070a2dc500ecfd2e9bc6d8bf60", "question_id": "q00_single_fact", "split": "test", "cluster_id": "syn_03019_8000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6171877384}, "weight_precision": "bf16", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {"realized": {"note": "receiver gets no source context"}}, "question_access": "none", "topology": "single_handoff", "handoff_index": 0, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 5790, "source_tokens_receiver": 5790, "query_tokens": 65, "message_tokens": 0, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.00825000461190939, "decode_payload_ms": 0.0, "receiver_prefill_ms": 14.819624950177968, "ttft_ms": 13.764332979917526, "decode_ms": 13.031499926000834}, "total_wall_ms": 42.108875000849366, "ttft_ms": 13.764332979917526, "input_usage": {"receiver_prompt_tokens": 65}, "output_usage": {"output_tokens": 1}, "provider_cached_usage": null, "process_memory": 696156160, "backend_memory": {"mlx_active_bytes": 6171877384, "mlx_peak_bytes": 6222143868, "mlx_cache_bytes": 128550584, "process_rss_bytes": 696156160}, "peak_prefill_memory": null, "peak_decode_memory": 6222143868, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "unknown", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03019_8000.json", "task_scores": {"correct": 0.0, "abstained": 1.0, "f1": 0.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "b23a6a8439c0dde5515893e7c90c1e3233b8616e634470f20dc4928bcf3609bc"}
		2016	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "088a4a8a4ba92bf141a5e0ce", "attempt_id": "3afaa1ecf439", "run_group_id": "E1_core:A0", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:05.163936Z", "task_family": "synthetic", "document_id": "syn_03019_8000", "document_hash": "f8991a6ada3dde65b1427947e7dcf1f720fb02070a2dc500ecfd2e9bc6d8bf60", "question_id": "q01_single_fact", "split": "test", "cluster_id": "syn_03019_8000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6171877384}, "weight_precision": "bf16", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {"realized": {"note": "receiver gets no source context"}}, "question_access": "none", "topology": "single_handoff", "handoff_index": 0, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 5790, "source_tokens_receiver": 5790, "query_tokens": 69, "message_tokens": 0, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.00825000461190939, "decode_payload_ms": 0.0, "receiver_prefill_ms": 24.130792007781565, "ttft_ms": 13.108458020724356, "decode_ms": 13.601333019323647}, "total_wall_ms": 51.253207959234715, "ttft_ms": 13.108458020724356, "input_usage": {"receiver_prompt_tokens": 69}, "output_usage": {"output_tokens": 1}, "provider_cached_usage": null, "process_memory": 696156160, "backend_memory": {"mlx_active_bytes": 6171877384, "mlx_peak_bytes": 6242394760, "mlx_cache_bytes": 191973048, "process_rss_bytes": 696156160}, "peak_prefill_memory": null, "peak_decode_memory": 6242394760, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "unknown", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03019_8000.json", "task_scores": {"correct": 0.0, "abstained": 1.0, "f1": 0.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "b23a6a8439c0dde5515893e7c90c1e3233b8616e634470f20dc4928bcf3609bc"}
		2017	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "28f27d88bf66f998a68c061b", "attempt_id": "31165844736b", "run_group_id": "E1_core:A0", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:05.240155Z", "task_family": "synthetic", "document_id": "syn_03019_8000", "document_hash": "f8991a6ada3dde65b1427947e7dcf1f720fb02070a2dc500ecfd2e9bc6d8bf60", "question_id": "q02_exact_copy", "split": "test", "cluster_id": "syn_03019_8000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6171877384}, "weight_precision": "bf16", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {"realized": {"note": "receiver gets no source context"}}, "question_access": "none", "topology": "single_handoff", "handoff_index": 0, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 5790, "source_tokens_receiver": 5790, "query_tokens": 70, "message_tokens": 0, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.00825000461190939, "decode_payload_ms": 0.0, "receiver_prefill_ms": 23.775832960382104, "ttft_ms": 13.352666050195694, "decode_ms": 13.412667089141905}, "total_wall_ms": 50.98362499848008, "ttft_ms": 13.352666050195694, "input_usage": {"receiver_prompt_tokens": 70}, "output_usage": {"output_tokens": 1}, "provider_cached_usage": null, "process_memory": 696156160, "backend_memory": {"mlx_active_bytes": 6171877384, "mlx_peak_bytes": 6243951240, "mlx_cache_bytes": 252724920, "process_rss_bytes": 696156160}, "peak_prefill_memory": null, "peak_decode_memory": 6243951240, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "unknown", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03019_8000.json", "task_scores": {"correct": 0.0, "abstained": 1.0, "f1": 0.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "b23a6a8439c0dde5515893e7c90c1e3233b8616e634470f20dc4928bcf3609bc"}
		2018	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "debe000bf0dd066c5c0e7d49", "attempt_id": "e7d54b47c519", "run_group_id": "E1_core:A0", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:05.315907Z", "task_family": "synthetic", "document_id": "syn_03019_8000", "document_hash": "f8991a6ada3dde65b1427947e7dcf1f720fb02070a2dc500ecfd2e9bc6d8bf60", "question_id": "q03_exact_copy", "split": "test", "cluster_id": "syn_03019_8000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6171877384}, "weight_precision": "bf16", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {"realized": {"note": "receiver gets no source context"}}, "question_access": "none", "topology": "single_handoff", "handoff_index": 0, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 5790, "source_tokens_receiver": 5790, "query_tokens": 65, "message_tokens": 0, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.00825000461190939, "decode_payload_ms": 0.0, "receiver_prefill_ms": 14.464584062807262, "ttft_ms": 13.410291983745992, "decode_ms": 13.157167006283998}, "total_wall_ms": 41.44741699565202, "ttft_ms": 13.410291983745992, "input_usage": {"receiver_prompt_tokens": 65}, "output_usage": {"output_tokens": 1}, "provider_cached_usage": null, "process_memory": 696156160, "backend_memory": {"mlx_active_bytes": 6171877384, "mlx_peak_bytes": 6222143868, "mlx_cache_bytes": 252724920, "process_rss_bytes": 696156160}, "peak_prefill_memory": null, "peak_decode_memory": 6222143868, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "unknown", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03019_8000.json", "task_scores": {"correct": 0.0, "abstained": 1.0, "f1": 0.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "b23a6a8439c0dde5515893e7c90c1e3233b8616e634470f20dc4928bcf3609bc"}
		2019	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "414a09596fec5e9ba6d2dad4", "attempt_id": "453acd477d44", "run_group_id": "E1_core:A0", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:05.382217Z", "task_family": "synthetic", "document_id": "syn_03019_8000", "document_hash": "f8991a6ada3dde65b1427947e7dcf1f720fb02070a2dc500ecfd2e9bc6d8bf60", "question_id": "q04_multi_hop", "split": "test", "cluster_id": "syn_03019_8000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6171877384}, "weight_precision": "bf16", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {"realized": {"note": "receiver gets no source context"}}, "question_access": "none", "topology": "single_handoff", "handoff_index": 0, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 5790, "source_tokens_receiver": 5790, "query_tokens": 71, "message_tokens": 0, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.00825000461190939, "decode_payload_ms": 0.0, "receiver_prefill_ms": 23.893832927569747, "ttft_ms": 13.415416004136205, "decode_ms": 13.227167073637247}, "total_wall_ms": 50.955082988366485, "ttft_ms": 13.415416004136205, "input_usage": {"receiver_prompt_tokens": 71}, "output_usage": {"output_tokens": 1}, "provider_cached_usage": null, "process_memory": 696156160, "backend_memory": {"mlx_active_bytes": 6171877384, "mlx_peak_bytes": 6244688520, "mlx_cache_bytes": 296224440, "process_rss_bytes": 696156160}, "peak_prefill_memory": null, "peak_decode_memory": 6244688520, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "unknown", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03019_8000.json", "task_scores": {"correct": 0.0, "abstained": 1.0, "f1": 0.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "b23a6a8439c0dde5515893e7c90c1e3233b8616e634470f20dc4928bcf3609bc"}
		2020	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "E1_core", "trial_id": "4f4e2a6296e10b931dcf9c0e", "attempt_id": "a22b0f9f47f8", "run_group_id": "E1_core:A1", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "50b6c619bcf5d70db3b27f964d953c5f09e5e0dc3900f2b60f75d42a84b95ad1", "git_commit": "e6d9a3b2e6aad04d133df41f962eaa0b3171272e", "timestamp_utc": "2026-10-30T04:59:05.457970Z", "task_family": "synthetic", "document_id": "syn_03019_8000", "document_hash": "f8991a6ada3dde65b1427947e7dcf1f720fb02070a2dc500ecfd2e9bc6d8bf60", "question_id": "q00_single_fact", "split": "test", "cluster_id": "syn_03019_8000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b", "receiver": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"mlx": "0.32.4", "mlx_lm": "0.32.2"}, "hardware_id": "laptop-m5max-48g", "device_state": {"mlx_active_before": 6171877384}, "weight_precision": "bf16", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "single_handoff", "handoff_index": 1, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 5790, "source_tokens_receiver": 5790, "query_tokens": 5865, "message_tokens": 5790, "message_utf8_bytes": 29139, "cache_tensor_bytes": null, "serialized_payload_bytes": 29139, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.006958958692848682, "decode_payload_ms": 0.0, "receiver_prefill_ms": 778.9678330300376, "ttft_ms": 14.666083035990596, "decode_ms": 141.19545801077038}, "total_wall_ms": 943.4635000070557, "ttft_ms": 14.666083035990596, "input_usage": {"receiver_prompt_tokens": 5865}, "output_usage": {"output_tokens": 10}, "provider_cached_usage": null, "process_memory": 696188928, "backend_memory": {"mlx_active_bytes": 6171877384, "mlx_peak_bytes": 7155474496, "mlx_cache_bytes": 2209007288, "process_rss_bytes": 696188928}, "peak_prefill_memory": null, "peak_decode_memory": 7155474496, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": "XT-58M-1436", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_03019_8000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 1.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/E1_core.log", "payload_hash": "f8991a6ada3dde65b1427947e7dcf1f720fb02070a2dc500ecfd2e9bc6d8bf60", "output_hash": "88a42ad8cf9f73f734996854479d027d426515d2bbd638fc89c418555a6c0484"}
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modified runs/raw/E4_pilot.jsonl +750 −0

				@@ -328,3 +328,753 @@
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added runs/raw/E6_core.jsonl +324 −0

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modified runs/raw/ED_hosted_pilot.jsonl +160 −40

				@@ -1,40 +1,160 @@
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7	−{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "4eacf66d98b622bc44b13565", "attempt_id": "d95ede994be4", "run_group_id": "ED_hosted_pilot:A1|anthropic|", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": "c1d4b3900e40473a307dd7a405fffb0fb01ebc3b", "timestamp_utc": "2026-10-30T03:52:12.762015Z", "task_family": "synthetic", "document_id": "syn_02000_2000", "document_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "question_id": "q01_single_fact", "split": "dev", "cluster_id": "syn_02000_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "anthropic", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1971, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7280, "cache_tensor_bytes": null, "serialized_payload_bytes": 7280, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0}, "total_wall_ms": null, "ttft_ms": null, "input_usage": {}, "output_usage": {}, "provider_cached_usage": null, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": null, "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_02000_2000.json", "task_scores": null, "status": "implementation_error", "error_code": "TypeError: Messages.stream() got an unexpected keyword argument 'temperature'", "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "output_hash": null}	7	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "4eacf66d98b622bc44b13565", "attempt_id": "ef061b304758", "run_group_id": "ED_hosted_pilot:A1|anthropic|", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:14:00.308251Z", "task_family": "synthetic", "document_id": "syn_02000_2000", "document_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "question_id": "q01_single_fact", "split": "dev", "cluster_id": "syn_02000_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "anthropic", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1971, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7280, "cache_tensor_bytes": null, "serialized_payload_bytes": 7280, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0}, "total_wall_ms": null, "ttft_ms": null, "input_usage": {}, "output_usage": {}, "provider_cached_usage": null, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": null, "prediction_artifact": null, "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_02000_2000.json", "task_scores": null, "status": "implementation_error", "error_code": "TypeError: Messages.stream() got an unexpected keyword argument 'temperature'", "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "output_hash": null}
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		122	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "6308c8454fe1d0617ae2e671", "attempt_id": "a688f55a414b", "run_group_id": "ED_hosted_pilot:A1|anthropic|", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:22:48.309449Z", "task_family": "exec", "document_id": "exec_00101_2000", "document_hash": "c8bf1a72f33c0fc6f87af8c3029f12cbff489bcb95ae36398cd522af1811a74f", "question_id": "q00_exec", "split": "dev", "cluster_id": "exec_00101_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1878, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7944, "cache_tensor_bytes": null, "serialized_payload_bytes": 7944, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1406.7570839542896, "ttft_ms": 470.42249992955476}, "total_wall_ms": 1406.7570839542896, "ttft_ms": 470.42249992955476, "input_usage": {"provider_input_tokens": 2101}, "output_usage": {"provider_output_tokens": 126}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002731, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Sud':\n continue\n if r['units'] < 2:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total *= (1 + 9.975 / 100.0)\n return round(total, 2)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00101_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "c8bf1a72f33c0fc6f87af8c3029f12cbff489bcb95ae36398cd522af1811a74f", "output_hash": "3202b3412bccf8c97e4ce853dca50857450cf476d214942ba209a0c0a6eec09e"}
		123	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "4737e1ec839ee14b324e2022", "attempt_id": "59d005a3e672", "run_group_id": "ED_hosted_pilot:A1|anthropic|provider_cache=True", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:22:49.755291Z", "task_family": "exec", "document_id": "exec_00101_2000", "document_hash": "c8bf1a72f33c0fc6f87af8c3029f12cbff489bcb95ae36398cd522af1811a74f", "question_id": "q00_exec", "split": "dev", "cluster_id": "exec_00101_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1878, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7944, "cache_tensor_bytes": null, "serialized_payload_bytes": 7944, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1332.569958991371, "ttft_ms": 393.17558403126895}, "total_wall_ms": 1332.569958991371, "ttft_ms": 393.17558403126895, "input_usage": {"provider_input_tokens": 2101}, "output_usage": {"provider_output_tokens": 126}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002731, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Sud':\n continue\n if r['units'] < 2:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total *= (1 + 9.975 / 100.0)\n return round(total, 2)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00101_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "c8bf1a72f33c0fc6f87af8c3029f12cbff489bcb95ae36398cd522af1811a74f", "output_hash": "3202b3412bccf8c97e4ce853dca50857450cf476d214942ba209a0c0a6eec09e"}
		124	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "3c8b8ae492d7f4e75148f07f", "attempt_id": "b5db0ac095bc", "run_group_id": "ED_hosted_pilot:A4|anthropic|budget_tokens=512", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:23:01.088056Z", "task_family": "exec", "document_id": "exec_00101_2000", "document_hash": "c8bf1a72f33c0fc6f87af8c3029f12cbff489bcb95ae36398cd522af1811a74f", "question_id": "q00_exec", "split": "dev", "cluster_id": "exec_00101_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A4", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1878, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 928, "cache_tensor_bytes": null, "serialized_payload_bytes": 928, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 9959.170583984815, "provider_total_ms": 1379.3746659066528, "ttft_ms": 441.58666592556983}, "total_wall_ms": 11338.545249891467, "ttft_ms": 441.58666592556983, "input_usage": {"sender_input_tokens": 1994, "sender_output_tokens": 213, "sender_prefill_ms": 986.6970420116559, "sender_ttft_ms": 20.158540923148394, "sender_decode_ms": 8951.939166989177, "provider_input_tokens": 307}, "output_usage": {"provider_output_tokens": 118}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000897, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0\n for row in rows:\n if row.get('status') == 'returned':\n continue\n if row.get('region') == 'Sud':\n continue\n if row.get('units', 0) < 2:\n continue\n total += row.get('revenue', 0)\n \n taxed_total = total * 1.09975\n return round(taxed_total, 2)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00101_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "ef87bb218aa45c77447533583ea3be4c91af73f95e38b7033bf9d0108964ae7f", "output_hash": "812596c506dabf8a0ec4251b47c0662afdeff98056cb5545472216210a3d3c4c"}
		125	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "eaf7eb3cc53b5b1920db16ae", "attempt_id": "ccecccd7c70b", "run_group_id": "ED_hosted_pilot:A5|anthropic|budget_tokens=512", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:23:16.268077Z", "task_family": "exec", "document_id": "exec_00101_2000", "document_hash": "c8bf1a72f33c0fc6f87af8c3029f12cbff489bcb95ae36398cd522af1811a74f", "question_id": "q00_exec", "split": "dev", "cluster_id": "exec_00101_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A5", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1878, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 652, "cache_tensor_bytes": null, "serialized_payload_bytes": 652, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 13757.122374954633, "provider_total_ms": 2383.93479201477, "ttft_ms": 411.6169170010835}, "total_wall_ms": 16141.057166969404, "ttft_ms": 411.6169170010835, "input_usage": {"sender_input_tokens": 2022, "sender_output_tokens": 304, "sender_prefill_ms": 1020.0188750168309, "sender_ttft_ms": 59.76191710215062, "sender_decode_ms": 12676.930333022028, "provider_input_tokens": 295}, "output_usage": {"provider_output_tokens": 278}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.001685, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "```python\ndef net_revenue(rows):\n total = 0\n for row in rows:\n # Exclude returned rows\n if row.get('returned'):\n continue\n # Exclude rows whose region is 'Sud'\n if row.get('region') == 'Sud':\n continue\n # Exclude rows with fewer than 2 units\n if row.get('units', 0) < 2:\n continue\n # Calculate line revenue = units * unit_price * (1 - discount_pct/100)\n units = row.get('units', 0)\n unit_price = row.get('unit_price', 0)\n discount_pct = row.get('discount_pct', 0)\n line_revenue = units * unit_price * (1 - discount_pct / 100)\n total += line_revenue\n # Apply a tax of 9.975% on the sum\n total_with_tax = total * (1 + 9.975 / 100)\n # Return the result rounded to 2 decimals\n return round(total_with_tax, 2)\n```", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00101_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "2871f316419dbca2baecb3dc24eebd147d7bfbc05af5f82fef59ada0b81fa2a9", "output_hash": "a569825a0640fe4ff3408b0e65d652c32703435665cb8b3039e0e637ddf40047"}
		126	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "ce998ef303de546c2e9e4c6e", "attempt_id": "af1de69f01fe", "run_group_id": "ED_hosted_pilot:A0|openai|", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:23:18.693912Z", "task_family": "exec", "document_id": "exec_00101_2000", "document_hash": "c8bf1a72f33c0fc6f87af8c3029f12cbff489bcb95ae36398cd522af1811a74f", "question_id": "q00_exec", "split": "dev", "cluster_id": "exec_00101_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1878, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 3485.0601659854874, "ttft_ms": null}, "total_wall_ms": 3485.0601659854874, "ttft_ms": null, "input_usage": {"provider_input_tokens": 70}, "output_usage": {"provider_output_tokens": 320}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.0001315, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n # Implement all agreed rules from the ticket\n # Assuming rows is an iterable of dict-like objects or objects with attributes\n # We'll compute net revenue by applying a set of common rules:\n # - revenue = sum(price * quantity) for each row\n # - apply discounts if present: revenue -= discount\n # - apply tax on revenue: revenue_with_tax = revenue * (1 + tax_rate)\n # - ensure non-negative result\n total = 0.0\n tax_rate = 0.0\n discount_total = 0.0\n\n for r in rows:\n # Support both dict-like and attribute-like access\n price = getattr(r, \"price\", None)\n if price is None:\n price = r.get(\"price\", 0) if isinstance(r, dict) else 0\n\n qty = getattr(r, \"quantity\", None)\n if qty is None:\n qty = r.get(\"quantity\", 0) if isinstance(r, dict) else 0\n\n line_total = float(price) * float(qty)\n\n disc = getattr(r, \"discount\", None)\n if disc is None:\n disc = r.get(\"discount\", 0) if isinstance(r, dict) else 0\n\n # discount could be absolute or percentage; handle if percentage indicated by string like \"5%\" or 0.05\n if isinstance(disc", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00101_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "889da673fbf1aa5b24938cb0fe6875f2d7068f7a762d8ffa23087db88fd68f77"}
		127	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "7387849a91a8dcc448b23a38", "attempt_id": "04a630273a87", "run_group_id": "ED_hosted_pilot:A1|openai|", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:23:22.219237Z", "task_family": "exec", "document_id": "exec_00101_2000", "document_hash": "c8bf1a72f33c0fc6f87af8c3029f12cbff489bcb95ae36398cd522af1811a74f", "question_id": "q00_exec", "split": "dev", "cluster_id": "exec_00101_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1878, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7944, "cache_tensor_bytes": null, "serialized_payload_bytes": 7944, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 3707.808625069447, "ttft_ms": null}, "total_wall_ms": 3707.808625069447, "ttft_ms": null, "input_usage": {"provider_input_tokens": 1853}, "output_usage": {"provider_output_tokens": 225}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00018265, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n # Rule (2): exclude region 'Sud'\n if r.get('region') == 'Sud':\n continue\n # Rule (3): exclude fewer than 2 units\n if r.get('units', 0) < 2:\n continue\n # Rule (1): exclude returned rows\n if r.get('returned'):\n continue\n # Line revenue\n line_revenue = r.get('units', 0) * r.get('unit_price', 0.0) * (1 - r.get('discount_pct', 0.0) / 100.0)\n total += line_revenue\n # Rule (5): apply tax of 9.975% on the sum\n total *= (1 + 9.975 / 100.0)\n # Rule (6): round to 2 decimals\n return round(total, 2)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00101_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "c8bf1a72f33c0fc6f87af8c3029f12cbff489bcb95ae36398cd522af1811a74f", "output_hash": "8440af9828cf8e8844183cab728acac70710f93ae9ac92311f679cbbf4544251"}
		128	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "54e25b0befd4f18df6f6a66c", "attempt_id": "a782e576510c", "run_group_id": "ED_hosted_pilot:A1|openai|provider_cache=True", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:23:25.967441Z", "task_family": "exec", "document_id": "exec_00101_2000", "document_hash": "c8bf1a72f33c0fc6f87af8c3029f12cbff489bcb95ae36398cd522af1811a74f", "question_id": "q00_exec", "split": "dev", "cluster_id": "exec_00101_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1878, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7944, "cache_tensor_bytes": null, "serialized_payload_bytes": 7944, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2804.967000032775, "ttft_ms": null}, "total_wall_ms": 2804.967000032775, "ttft_ms": null, "input_usage": {"provider_input_tokens": 1853}, "output_usage": {"provider_output_tokens": 209}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00017625, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n # Exclude returned rows\n if r.get('returned'):\n continue\n # Exclude rows whose region is 'Sud'\n if r.get('region') == 'Sud':\n continue\n # Exclude rows with fewer than 2 units\n if r.get('units', 0) < 2:\n continue\n line_revenue = r.get('units', 0) * r.get('unit_price', 0.0) * (1 - r.get('discount_pct', 0.0) / 100.0)\n total += line_revenue\n # Apply tax of 9.975% on the sum\n total *= (1 + 9.975 / 100.0)\n # Return rounded to 2 decimals\n return round(total, 2)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00101_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "c8bf1a72f33c0fc6f87af8c3029f12cbff489bcb95ae36398cd522af1811a74f", "output_hash": "71610ac9a4cfc05b9d8e13b29f1c4a406b6e2bf5dba947dff7f3a7edf79ffd56"}
		129	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "133dca256957efa87ee786fa", "attempt_id": "979c4501b6ef", "run_group_id": "ED_hosted_pilot:A4|openai|budget_tokens=512", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:23:38.735113Z", "task_family": "exec", "document_id": "exec_00101_2000", "document_hash": "c8bf1a72f33c0fc6f87af8c3029f12cbff489bcb95ae36398cd522af1811a74f", "question_id": "q00_exec", "split": "dev", "cluster_id": "exec_00101_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A4", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1878, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 928, "cache_tensor_bytes": null, "serialized_payload_bytes": 928, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 9920.289124944247, "provider_total_ms": 3607.0354159455746, "ttft_ms": null}, "total_wall_ms": 13527.324540889822, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1994, "sender_output_tokens": 213, "sender_prefill_ms": 955.7674169773236, "sender_ttft_ms": 24.135082960128784, "sender_decode_ms": 8940.089541953057, "provider_input_tokens": 282}, "output_usage": {"provider_output_tokens": 320}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00014209999999999998, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n \"\"\"\n Compute net revenue from a list of rows with the following rules:\n - Exclude rows that represent a returned item.\n - Exclude rows in region 'Sud'.\n - Exclude rows with fewer than 2 units.\n - Sum the revenue of the remaining rows, apply a tax of 9.975% on the sum, and round to 2 decimals.\n - All monetary values are in the client currency; no FX conversion.\n - If a row does not contain required fields, it will be treated as invalid and skipped.\n \"\"\"\n total = 0.0\n for r in rows:\n try:\n # expected fields: status, region, units, amount\n status = r.get(\"status\")\n region = r.get(\"region\")\n units = r.get(\"units\")\n amount = r.get(\"amount\")\n\n # Exclude returned rows\n if isinstance(status, str) and status.lower() == \"returned\":\n continue\n\n # Exclude region 'Sud'\n if isinstance(region, str) and region == \"Sud\":\n continue\n\n # Exclude fewer than 2 units\n if isinstance(units, (int, float)) and units < 2:\n continue\n\n # If all checks pass, accumulate amount\n if isinstance(amount, (int, float)):\n total += amount\n except Exception:\n # If any row is ill-formed, skip", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00101_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:IndentationError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "ef87bb218aa45c77447533583ea3be4c91af73f95e38b7033bf9d0108964ae7f", "output_hash": "c4c937a819e1823cb05830cedd82f3ae6dd79add4245f6cd2bb385ca2dcf7d8d"}
		130	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "e04afebd6324829f9554cdc7", "attempt_id": "b26561681bf2", "run_group_id": "ED_hosted_pilot:A5|openai|budget_tokens=512", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:23:56.139742Z", "task_family": "exec", "document_id": "exec_00101_2000", "document_hash": "c8bf1a72f33c0fc6f87af8c3029f12cbff489bcb95ae36398cd522af1811a74f", "question_id": "q00_exec", "split": "dev", "cluster_id": "exec_00101_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A5", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1878, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 652, "cache_tensor_bytes": null, "serialized_payload_bytes": 652, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 13756.682416889817, "provider_total_ms": 2918.841875041835, "ttft_ms": null}, "total_wall_ms": 16675.52429193165, "ttft_ms": null, "input_usage": {"sender_input_tokens": 2022, "sender_output_tokens": 304, "sender_prefill_ms": 997.6578339701518, "sender_ttft_ms": 50.441207946278155, "sender_decode_ms": 12708.308666944504, "provider_input_tokens": 273}, "output_usage": {"provider_output_tokens": 297}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00013245000000000002, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n \"\"\"\n Compute total net revenue from a list of rows with the following rules:\n - Exclude returned rows\n - Exclude rows whose region is 'Sud'\n - Exclude rows with fewer than 2 units\n - line revenue = units * unit_price * (1 - discount_pct/100)\n - apply a tax of 9.975% on the sum\n - return the result rounded to 2 decimals\n \"\"\"\n total = 0.0\n for row in rows:\n # Expect keys: returned (bool), region (str), units (int/float), unit_price (float), discount_pct (float)\n if row.get(\"returned\"):\n continue\n if row.get(\"region\") == \"Sud\":\n continue\n units = row.get(\"units\", 0)\n if units < 2:\n continue\n unit_price = row.get(\"unit_price\", 0.0)\n discount_pct = row.get(\"discount_pct\", 0.0)\n line_revenue = units * unit_price * (1 - (discount_pct / 100.0))\n total += line_revenue\n tax_rate = 0.09975\n total_with_tax = total * (1 + tax_rate)\n return round(total_with_tax, 2)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00101_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "2871f316419dbca2baecb3dc24eebd147d7bfbc05af5f82fef59ada0b81fa2a9", "output_hash": "a13e5c34eda567686a68ca4842964a78d67a59b315ee6beec9fde8d53da2fa33"}
		131	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "1cee6353384e9ee7827baad5", "attempt_id": "c4684c1f39c8", "run_group_id": "ED_hosted_pilot:A0|anthropic|", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:23:59.107336Z", "task_family": "exec", "document_id": "exec_00102_2000", "document_hash": "61b6c7bb86261a26bf000996edd5f9326f7f77ca1c37085fd999cddf1bff2396", "question_id": "q00_exec", "split": "dev", "cluster_id": "exec_00102_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1867, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1170.1604159316048, "ttft_ms": 514.6224579075351}, "total_wall_ms": 1170.1604159316048, "ttft_ms": 514.6224579075351, "input_usage": {"provider_input_tokens": 72}, "output_usage": {"provider_output_tokens": 69}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000417, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "I don't have access to any ticket or agreed rules. To help you rewrite the `net_revenue(rows)` function, I would need you to provide:\n\n1. The specific rules from the ticket\n2. The current implementation (if one exists)\n3. The expected input/output format\n\nunknown", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00102_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "0d19c1904db7031ea8c8768ef18bacd19c07d84e30a58d35be7db8d98fedef97"}
		132	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "715ae8604a2767780807b0f1", "attempt_id": "6215fa65a930", "run_group_id": "ED_hosted_pilot:A1|anthropic|", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:24:00.318416Z", "task_family": "exec", "document_id": "exec_00102_2000", "document_hash": "61b6c7bb86261a26bf000996edd5f9326f7f77ca1c37085fd999cddf1bff2396", "question_id": "q00_exec", "split": "dev", "cluster_id": "exec_00102_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1867, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7910, "cache_tensor_bytes": null, "serialized_payload_bytes": 7910, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1317.1251250896603, "ttft_ms": 403.7757090991363}, "total_wall_ms": 1317.1251250896603, "ttft_ms": 403.7757090991363, "input_usage": {"provider_input_tokens": 2090}, "output_usage": {"provider_output_tokens": 125}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002715, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Ouest':\n continue\n if r['units'] < 3:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total *= (1 + 0.0 / 100)\n return round(total, 2)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00102_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "61b6c7bb86261a26bf000996edd5f9326f7f77ca1c37085fd999cddf1bff2396", "output_hash": "22f41fd50a3057c694be9fb175bf73dfee2b0107a6065524f1e6f54897dd70dc"}
		133	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "bcfe84860666ae7b2d8ba303", "attempt_id": "2f82cd67bbe6", "run_group_id": "ED_hosted_pilot:A1|anthropic|provider_cache=True", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:24:01.674132Z", "task_family": "exec", "document_id": "exec_00102_2000", "document_hash": "61b6c7bb86261a26bf000996edd5f9326f7f77ca1c37085fd999cddf1bff2396", "question_id": "q00_exec", "split": "dev", "cluster_id": "exec_00102_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1867, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7910, "cache_tensor_bytes": null, "serialized_payload_bytes": 7910, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1387.2197079472244, "ttft_ms": 424.2306669475511}, "total_wall_ms": 1387.2197079472244, "ttft_ms": 424.2306669475511, "input_usage": {"provider_input_tokens": 2090}, "output_usage": {"provider_output_tokens": 127}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002725, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Ouest':\n continue\n if r['units'] < 3:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total *= (1 + 0.0 / 100.0)\n return round(total, 2)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00102_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "61b6c7bb86261a26bf000996edd5f9326f7f77ca1c37085fd999cddf1bff2396", "output_hash": "5bfe211e0a01260b4077f2df0c1ebb6f78a3507f8c09664c3064604e1187d6b7"}
		134	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "8025b85fa410ecf106e12a21", "attempt_id": "d1dcc65aeb32", "run_group_id": "ED_hosted_pilot:A4|anthropic|budget_tokens=512", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:24:18.508593Z", "task_family": "exec", "document_id": "exec_00102_2000", "document_hash": "61b6c7bb86261a26bf000996edd5f9326f7f77ca1c37085fd999cddf1bff2396", "question_id": "q00_exec", "split": "dev", "cluster_id": "exec_00102_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A4", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1867, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1205, "cache_tensor_bytes": null, "serialized_payload_bytes": 1205, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 15405.457875109278, "provider_total_ms": 1101.1613750597462, "ttft_ms": 392.3606249736622}, "total_wall_ms": 16506.619250169024, "ttft_ms": 392.3606249736622, "input_usage": {"sender_input_tokens": 1983, "sender_output_tokens": 295, "sender_prefill_ms": 916.1313340300694, "sender_ttft_ms": 24.124416988343, "sender_decode_ms": 14464.884583023377, "provider_input_tokens": 404}, "output_usage": {"provider_output_tokens": 108}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000944, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Ouest':\n continue\n if r['units'] < 3:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n return round(total, 2)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00102_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "f72408174ec3fec7129d280ccca638fd9eda129050b2ed7c79922c46a5291e8d", "output_hash": "38adcacbb79947c6297177ad198f8437deb824fcbcb4fbde205063872e624e75"}
		135	+{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "b0bffcd024d5379c4d3af36c", "attempt_id": "28111e84a79d", "run_group_id": "ED_hosted_pilot:A5|anthropic|budget_tokens=512", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:24:24.461536Z", "task_family": "exec", "document_id": "exec_00102_2000", "document_hash": "61b6c7bb86261a26bf000996edd5f9326f7f77ca1c37085fd999cddf1bff2396", "question_id": "q00_exec", "split": "dev", "cluster_id": "exec_00102_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A5", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1867, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 268, "cache_tensor_bytes": null, "serialized_payload_bytes": 268, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 4809.443291975185, "provider_total_ms": 1404.9579589627683, "ttft_ms": 400.84462496452034}, "total_wall_ms": 6214.401250937954, "ttft_ms": 400.84462496452034, "input_usage": {"sender_input_tokens": 2011, "sender_output_tokens": 92, "sender_prefill_ms": 920.678541995585, "sender_ttft_ms": 54.659666027873755, "sender_decode_ms": 3833.8234580587596, "provider_input_tokens": 177}, "output_usage": {"provider_output_tokens": 99}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000672, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "I cannot complete this task because the provided material does not contain the complete specification of all agreed rules in the ticket. The extracted evidence only mentions:\n- Rule (2) about excluding rows where region is 'Ouest'\n- An unknown regarding rules (3) and (4)\n\nTo rewrite the function implementing ALL rules, I would need the full definitions of rules (1), (2), (3), and (4) from the ticket.\n\nunknown", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00102_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "eac2bead261fee10e8662dc7b76282b83890c862512050fa2fe7a814675d3f24", "output_hash": "8595722edc3d5256ae35dc6cebd51ea5a8f96d984db4f41a9588a3c6cbd77b2e"}
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23	−{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "0cead66cc8abd58b68a22b80", "attempt_id": "8fbc990ffc7b", "run_group_id": "ED_hosted_pilot:A0|anthropic|", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:15:51.816624Z", "task_family": "synthetic", "document_id": "syn_02000_2000", "document_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "question_id": "q02_exact_copy", "split": "dev", "cluster_id": "syn_02000_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1971, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 792.6747910678387, "ttft_ms": 758.3347910549492}, "total_wall_ms": 792.6747910678387, "ttft_ms": 758.3347910549492, "input_usage": {"provider_input_tokens": 66}, "output_usage": {"provider_output_tokens": 4}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 8.6e-05, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "unknown", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_02000_2000.json", "task_scores": {"correct": 0.0, "abstained": 1.0, "f1": 0.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "b23a6a8439c0dde5515893e7c90c1e3233b8616e634470f20dc4928bcf3609bc"}
24	−{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "033110b7c960798c91b9a567", "attempt_id": "3b87b81d36bf", "run_group_id": "ED_hosted_pilot:A0|anthropic|", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:15:52.626063Z", "task_family": "synthetic", "document_id": "syn_02000_2000", "document_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "question_id": "q03_exact_copy", "split": "dev", "cluster_id": "syn_02000_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1971, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 702.2910410305485, "ttft_ms": 672.9264580644667}, "total_wall_ms": 702.2910410305485, "ttft_ms": 672.9264580644667, "input_usage": {"provider_input_tokens": 61}, "output_usage": {"provider_output_tokens": 4}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 8.1e-05, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "unknown", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_02000_2000.json", "task_scores": {"correct": 0.0, "abstained": 1.0, "f1": 0.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "b23a6a8439c0dde5515893e7c90c1e3233b8616e634470f20dc4928bcf3609bc"}
25	−{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "5b6903b845a143509db64291", "attempt_id": "68b207e544c5", "run_group_id": "ED_hosted_pilot:A0|anthropic|", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:15:53.346494Z", "task_family": "synthetic", "document_id": "syn_02000_2000", "document_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "question_id": "q04_multi_hop", "split": "dev", "cluster_id": "syn_02000_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1971, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 744.3304168991745, "ttft_ms": 711.5720419678837}, "total_wall_ms": 744.3304168991745, "ttft_ms": 711.5720419678837, "input_usage": {"provider_input_tokens": 71}, "output_usage": {"provider_output_tokens": 4}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 9.1e-05, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "unknown", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_02000_2000.json", "task_scores": {"correct": 0.0, "abstained": 1.0, "f1": 0.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "b23a6a8439c0dde5515893e7c90c1e3233b8616e634470f20dc4928bcf3609bc"}
26	−{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "032b6e4875944e1191af2d54", "attempt_id": "d313913e7c47", "run_group_id": "ED_hosted_pilot:A1|anthropic|", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:15:54.109753Z", "task_family": "synthetic", "document_id": "syn_02000_2000", "document_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "question_id": "q00_single_fact", "split": "dev", "cluster_id": "syn_02000_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1971, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7280, "cache_tensor_bytes": null, "serialized_payload_bytes": 7280, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 3965.8384589711204, "ttft_ms": 3799.7774169780314}, "total_wall_ms": 3965.8384589711204, "ttft_ms": 3799.7774169780314, "input_usage": {"provider_input_tokens": 2082}, "output_usage": {"provider_output_tokens": 11}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002137, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "WG-14H-1182", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_02000_2000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 1.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "output_hash": "e454fec67e299085db563490eff5a43753bbeed6d185376c1a5962c124db19eb"}
27	−{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "4eacf66d98b622bc44b13565", "attempt_id": "c7f6bd7451d2", "run_group_id": "ED_hosted_pilot:A1|anthropic|", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:15:58.093292Z", "task_family": "synthetic", "document_id": "syn_02000_2000", "document_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "question_id": "q01_single_fact", "split": "dev", "cluster_id": "syn_02000_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1971, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7280, "cache_tensor_bytes": null, "serialized_payload_bytes": 7280, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 734.7654170589522, "ttft_ms": 606.3696671044454}, "total_wall_ms": 734.7654170589522, "ttft_ms": 606.3696671044454, "input_usage": {"provider_input_tokens": 2088}, "output_usage": {"provider_output_tokens": 15}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002163, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "Lot 61-C in Schefferville.", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_02000_2000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 1.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "output_hash": "d55efb5ac68d51089f721259ac6b53fd7d12a90d616870324eb50101f970ae85"}
28	−{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "063134d62281ca8330f2b85e", "attempt_id": "61d827176eb6", "run_group_id": "ED_hosted_pilot:A1|anthropic|", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:15:58.848401Z", "task_family": "synthetic", "document_id": "syn_02000_2000", "document_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "question_id": "q02_exact_copy", "split": "dev", "cluster_id": "syn_02000_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1971, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7280, "cache_tensor_bytes": null, "serialized_payload_bytes": 7280, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2352.5586670730263, "ttft_ms": 2345.437042065896}, "total_wall_ms": 2352.5586670730263, "ttft_ms": 2345.437042065896, "input_usage": {"provider_input_tokens": 2089}, "output_usage": {"provider_output_tokens": 8}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002129, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "78.0424", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_02000_2000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 1.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "output_hash": "a6b0ea8de12cdf1084cdbceb42fd84946cd25a872f44d1f9a0846f3cf0f98534"}
29	−{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "bdbcae7fdaa7fe01814d03e0", "attempt_id": "07b16e61d507", "run_group_id": "ED_hosted_pilot:A1|anthropic|", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:16:01.220002Z", "task_family": "synthetic", "document_id": "syn_02000_2000", "document_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "question_id": "q03_exact_copy", "split": "dev", "cluster_id": "syn_02000_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1971, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7280, "cache_tensor_bytes": null, "serialized_payload_bytes": 7280, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 3584.7167499596253, "ttft_ms": 3476.3246660586447}, "total_wall_ms": 3584.7167499596253, "ttft_ms": 3476.3246660586447, "input_usage": {"provider_input_tokens": 2084}, "output_usage": {"provider_output_tokens": 10}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002134, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "Wilhelmina Rousseau", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_02000_2000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 1.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "output_hash": "48d8b48be3dac15e3a879049c76d1150b48d5cfd634a79a298cef143ea8a97c3"}
30	−{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "75e89070305ae6a05b5d5e73", "attempt_id": "b981c3a99889", "run_group_id": "ED_hosted_pilot:A1|anthropic|", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:16:04.823104Z", "task_family": "synthetic", "document_id": "syn_02000_2000", "document_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "question_id": "q04_multi_hop", "split": "dev", "cluster_id": "syn_02000_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1971, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7280, "cache_tensor_bytes": null, "serialized_payload_bytes": 7280, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1021.8482499476522, "ttft_ms": 972.6336669409648}, "total_wall_ms": 1021.8482499476522, "ttft_ms": 972.6336669409648, "input_usage": {"provider_input_tokens": 2094}, "output_usage": {"provider_output_tokens": 12}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002154, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "6,889,172 NOK", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_02000_2000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 0.6666666666666666}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "output_hash": "ce5dae2b035af8d38bda9e7d1f1cb7eb7e4141e20298d86d8bce5fe5ac6c0246"}
31	−{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "d464bc69b756f159c5353d0d", "attempt_id": "02d765d856e4", "run_group_id": "ED_hosted_pilot:A1|anthropic|provider_cache=True", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:16:05.864721Z", "task_family": "synthetic", "document_id": "syn_02000_2000", "document_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "question_id": "q00_single_fact", "split": "dev", "cluster_id": "syn_02000_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1971, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7280, "cache_tensor_bytes": null, "serialized_payload_bytes": 7280, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 567.6114170346409, "ttft_ms": 420.0128329684958}, "total_wall_ms": 567.6114170346409, "ttft_ms": 420.0128329684958, "input_usage": {"provider_input_tokens": 2082}, "output_usage": {"provider_output_tokens": 11}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002137, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "WG-14H-1182", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_02000_2000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 1.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "output_hash": "e454fec67e299085db563490eff5a43753bbeed6d185376c1a5962c124db19eb"}
32	−{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "a989a740dd1619c7db0f5527", "attempt_id": "447cce1e76e8", "run_group_id": "ED_hosted_pilot:A1|anthropic|provider_cache=True", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:16:06.451678Z", "task_family": "synthetic", "document_id": "syn_02000_2000", "document_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "question_id": "q01_single_fact", "split": "dev", "cluster_id": "syn_02000_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1971, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7280, "cache_tensor_bytes": null, "serialized_payload_bytes": 7280, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1064.2454999033362, "ttft_ms": 944.0780419390649}, "total_wall_ms": 1064.2454999033362, "ttft_ms": 944.0780419390649, "input_usage": {"provider_input_tokens": 2088}, "output_usage": {"provider_output_tokens": 14}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002158, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "Lot 61-C in Schefferville", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_02000_2000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 1.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "output_hash": "3491362e6ed6bb557ea2c25e29286d6fdbd0a0a36995d38446eddfd8450e097c"}
33	−{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "ca0d76b981f44c40c4ad4fc1", "attempt_id": "181ced43ef3a", "run_group_id": "ED_hosted_pilot:A1|anthropic|provider_cache=True", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:16:07.534649Z", "task_family": "synthetic", "document_id": "syn_02000_2000", "document_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "question_id": "q02_exact_copy", "split": "dev", "cluster_id": "syn_02000_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1971, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7280, "cache_tensor_bytes": null, "serialized_payload_bytes": 7280, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 785.6758330017328, "ttft_ms": 751.5021659201011}, "total_wall_ms": 785.6758330017328, "ttft_ms": 751.5021659201011, "input_usage": {"provider_input_tokens": 2089}, "output_usage": {"provider_output_tokens": 8}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002129, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "78.0424", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_02000_2000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 1.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "output_hash": "a6b0ea8de12cdf1084cdbceb42fd84946cd25a872f44d1f9a0846f3cf0f98534"}
34	−{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "74e77c817ea583eee42d67bb", "attempt_id": "112b155e524e", "run_group_id": "ED_hosted_pilot:A1|anthropic|provider_cache=True", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:16:08.338012Z", "task_family": "synthetic", "document_id": "syn_02000_2000", "document_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "question_id": "q03_exact_copy", "split": "dev", "cluster_id": "syn_02000_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1971, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7280, "cache_tensor_bytes": null, "serialized_payload_bytes": 7280, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 617.9861669661477, "ttft_ms": 509.33170795906335}, "total_wall_ms": 617.9861669661477, "ttft_ms": 509.33170795906335, "input_usage": {"provider_input_tokens": 2084}, "output_usage": {"provider_output_tokens": 10}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002134, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "Wilhelmina Rousseau", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_02000_2000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 1.0}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "output_hash": "48d8b48be3dac15e3a879049c76d1150b48d5cfd634a79a298cef143ea8a97c3"}
35	−{"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_pilot", "trial_id": "a3475b0cf5e69dfa7e07da4b", "attempt_id": "dca99e1679a9", "run_group_id": "ED_hosted_pilot:A1|anthropic|provider_cache=True", "protocol_hash": "unfrozen", "config_hash": "7ae5e5bad8bf2243cb45b2da3a2fe2f6b130c5f999dec475909cdd61fe5f3885", "git_commit": null, "timestamp_utc": "2026-10-30T04:16:08.974244Z", "task_family": "synthetic", "document_id": "syn_02000_2000", "document_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "question_id": "q04_multi_hop", "split": "dev", "cluster_id": "syn_02000_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 5, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1971, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7280, "cache_tensor_bytes": null, "serialized_payload_bytes": 7280, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 678.6842499859631, "ttft_ms": 628.2605830347165}, "total_wall_ms": 678.6842499859631, "ttft_ms": 628.2605830347165, "input_usage": {"provider_input_tokens": 2094}, "output_usage": {"provider_output_tokens": 12}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002154, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "6,889,172 NOK", "evidence_artifact": null, "reference_key_id": "keys/synthetic/syn_02000_2000.json", "task_scores": {"correct": 1.0, "abstained": 0.0, "f1": 0.6666666666666666}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_pilot.log", "payload_hash": "3bcf1bb02792129efca162575bc2ef64622b41083d4e2870fed106d663e6417c", "output_hash": "ce5dae2b035af8d38bda9e7d1f1cb7eb7e4141e20298d86d8bce5fe5ac6c0246"}

added runs/raw/chains/E4_pilot_syn_02000_2000_A4_closed_qwen3b.json +142 −0

				@@ -0,0 +1,142 @@
		1	+{
		2	+ "hops": {
		3	+ "1": "**Summary:**\n\n- **Capital Projects Register, Issue 165**\n - **Proposals under review:** Zennovvol-7, Ruktor-14, Torsel-10 (no attributes recorded)\n - **Project Zennovvol-6:**\n - Proposed by Idris Abubakar on 5 Nov 2033\n - Initial budget: 6,889,172 NOK\n - Revised budget: 7,280,585 NOK\n - Approved on 8 Mar 2034\n - Site: Lot 208-C, Senneterre\n - Supplier: BH-71Y-2851\n - Launch postponed to 22 Apr 2034\n - Rated capacity: 35.2 km\n - Calibration constant: 58.0820\n - **Project Ruktor-10:**\n - Proposed by Teodora Mäkelä on 2 Jul 2032\n - Initial budget: 5,869,675 NOK\n - Revised budget: 5,802,310 NOK\n - Approved on 27 Oct 2032\n - Site: Lot 50-D, Matagami\n - Supplier: SP-38G-4217\n - Cancelled\n - Rated capacity: 30.99 MW\n - Calibration constant: 54.0816\n - **Project Torsel-5:**\n - Proposed by Haruki Rousseau on 18 Apr 2031\n - Initial budget: 1,661,075 CAD\n - Revised budget: 1,945,685 CAD\n - Approved on 13 Sep 2031\n - Site: Lot 835-P, Fermont\n - Supplier: WG-14H-1182\n - On schedule\n - Rated capacity: 7.64 MW\n - Calibration constant: 68.6281\n - **Project Eshtal-12:**\n - Proposed by Oksana Okonkwo on 23",
		4	+ "2": "**Summary:**\n- **Capital Projects Register, Issue 165**\n - **Proposals under review:** Zennovvol-7, Ruktor-14, Torsel-10 (no attributes recorded)\n - **Project Zennovvol-6:**\n - Proposed by Idris Abubakar on 5 Nov 2033\n - Initial budget: 6,889,172 NOK\n - Revised budget: 7,280,585 NOK\n - Approved on 8 Mar 2034\n - Site: Lot 208-C, Senneterre\n - Supplier: BH-71Y-2851\n - Launch postponed to 22 Apr 2034\n - Rated capacity: 35.2 km\n - Calibration constant: 58.0820\n - **Project Ruktor-10:**\n - Proposed by Teodora Mäkelä on 2 Jul 2032\n - Initial budget: 5,869,675 NOK\n - Revised budget: 5,802,310 NOK\n - Approved on 27 Oct 2032\n - Site: Lot 50-D, Matagami\n - Supplier: SP-38G-4217\n - Cancelled\n - Rated capacity: 30.99 MW\n - Calibration constant: 54.0816\n - **Project Torsel-5:**\n - Proposed by Haruki Rousseau on 18 Apr 2031\n - Initial budget: 1,661,075 CAD\n - Revised budget: 1,945,685 CAD\n - Approved on 13 Sep 2031\n - Site: Lot 835-P, Fermont\n - Supplier: WG-14H-1182\n - On schedule\n - Rated capacity: 7.64 MW\n - Calibration constant: 68.6281\n - **Project Eshtal-12:** Proposed by Oksana Okonkwo on 23",
		5	+ "3": "**Summary:**\n- **Capital Projects Register, Issue 165**\n - **Proposals under review:** Zennovvol-7, Ruktor-14, Torsel-10 (no attributes recorded)\n - **Project Zennovvol-6:**\n - Proposed by Idris Abubakar on 5 Nov 2033\n - Initial budget: 6,889,172 NOK\n - Revised budget: 7,280,585 NOK\n - Approved on 8 Mar 2034\n - Site: Lot 208-C, Senneterre\n - Supplier: BH-71Y-2851\n - Launch postponed to 22 Apr 2034\n - Rated capacity: 35.2 km\n - Calibration constant: 58.0820\n - **Project Ruktor-10:**\n - Proposed by Teodora Mäkelä on 2 Jul 2032\n - Initial budget: 5,869,675 NOK\n - Revised budget: 5,802,310 NOK\n - Approved on 27 Oct 2032\n - Site: Lot 50-D, Matagami\n - Supplier: SP-38G-4217\n - Cancelled\n - Rated capacity: 30.99 MW\n - Calibration constant: 54.0816\n - **Project Torsel-5:**\n - Proposed by Haruki Rousseau on 18 Apr 2031\n - Initial budget: 1,661,075 CAD\n - Revised budget: 1,945,685 CAD\n - Approved on 13 Sep 2031\n - Site: Lot 835-P, Fermont\n - Supplier: WG-14H-1182\n - On schedule\n - Rated capacity: 7.64 MW\n - Calibration constant: 68.6281\n - **Project Eshtal-12:** Proposed by Oksana Okonkwo on 23",
		6	+ "4": "**Summary:**\n- **Capital Projects Register, Issue 165**\n - **Proposals under review:** Zennovvol-7, Ruktor-14, Torsel-10 (no attributes recorded)\n - **Project Zennovvol-6:**\n - Proposed by Idris Abubakar on 5 Nov 2033\n - Initial budget: 6,889,172 NOK\n - Revised budget: 7,280,585 NOK\n - Approved on 8 Mar 2034\n - Site: Lot 208-C, Senneterre\n - Supplier: BH-71Y-2851\n - Launch postponed to 22 Apr 2034\n - Rated capacity: 35.2 km\n - Calibration constant: 58.0820\n - **Project Ruktor-10:**\n - Proposed by Teodora Mäkelä on 2 Jul 2032\n - Initial budget: 5,869,675 NOK\n - Revised budget: 5,802,310 NOK\n - Approved on 27 Oct 2032\n - Site: Lot 50-D, Matagami\n - Supplier: SP-38G-4217\n - Cancelled\n - Rated capacity: 30.99 MW\n - Calibration constant: 54.0816\n - **Project Torsel-5:**\n - Proposed by Haruki Rousseau on 18 Apr 2031\n - Initial budget: 1,661,075 CAD\n - Revised budget: 1,945,685 CAD\n - Approved on 13 Sep 2031\n - Site: Lot 835-P, Fermont\n - Supplier: WG-14H-1182\n - On schedule\n - Rated capacity: 7.64 MW\n - Calibration constant: 68.6281\n - **Project Eshtal-12:** Proposed by Oksana Okonkwo on 23"
		7	+ },
		8	+ "meta": {
		9	+ "1": {
		10	+ "hop_ms": 24286.299792001955,
		11	+ "agent": "mlx-community/Qwen2.5-3B-Instruct-bf16",
		12	+ "usage": {
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		14	+ "sender_output_tokens": 512,
		15	+ "sender_prefill_ms": 1285.1201669545844,
		16	+ "sender_ttft_ms": 38.4117909707129,
		17	+ "sender_decode_ms": 22953.007417032495
		18	+ },
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		23	+ "ledger": {
		24	+ "facts_total": 64,
		25	+ "facts_retained": 28,
		26	+ "retention_rate": 0.4375,
		27	+ "retention_by_kind": {
		28	+ "person": 0.6666666666666666,
		29	+ "date": 0.0,
		30	+ "amount": 0.42857142857142855,
		31	+ "status": 0.75,
		32	+ "place": 0.0,
		33	+ "identifier": 0.5,
		34	+ "quantity": 0.5
		35	+ },
		36	+ "unsupported_numbers": 0,
		37	+ "unsupported_identifiers": 0,
		38	+ "distorted_sentences": 0,
		39	+ "message_bytes": 1196
		40	+ }
		41	+ },
		42	+ "2": {
		43	+ "hop_ms": 22689.458125038072,
		44	+ "agent": "mlx-community/Qwen2.5-3B-Instruct-bf16",
		45	+ "usage": {
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		47	+ "sender_output_tokens": 509,
		48	+ "sender_prefill_ms": 404.4753750786185,
		49	+ "sender_ttft_ms": 34.69029092229903,
		50	+ "sender_decode_ms": 22249.282874981873
		51	+ },
		52	+ "repair": {
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		54	+ "fetched_bytes": 0
		55	+ },
		56	+ "ledger": {
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		59	+ "retention_rate": 0.4375,
		60	+ "retention_by_kind": {
		61	+ "person": 0.6666666666666666,
		62	+ "date": 0.0,
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added runs/raw/chains/E4_pilot_syn_02000_2000_A4_repairable_qwen3b.json +145 −0

				@@ -0,0 +1,145 @@
		1	+{
		2	+ "hops": {
		3	+ "1": "**Summary:**\n\n- **Capital Projects Register, Issue 165**\n - **Proposals under review:** Zennovvol-7, Ruktor-14, Torsel-10 (no attributes recorded)\n - **Project Zennovvol-6:**\n - Proposed by Idris Abubakar on 5 Nov 2033\n - Initial budget: 6,889,172 NOK\n - Revised budget: 7,280,585 NOK\n - Approved on 8 Mar 2034\n - Site: Lot 208-C, Senneterre\n - Supplier: BH-71Y-2851\n - Launch postponed to 22 Apr 2034\n - Rated capacity: 35.2 km\n - Calibration constant: 58.0820\n - **Project Ruktor-10:**\n - Proposed by Teodora Mäkelä on 2 Jul 2032\n - Initial budget: 5,869,675 NOK\n - Revised budget: 5,802,310 NOK\n - Approved on 27 Oct 2032\n - Site: Lot 50-D, Matagami\n - Supplier: SP-38G-4217\n - Cancelled\n - Rated capacity: 30.99 MW\n - Calibration constant: 54.0816\n - **Project Torsel-5:**\n - Proposed by Haruki Rousseau on 18 Apr 2031\n - Initial budget: 1,661,075 CAD\n - Revised budget: 1,945,685 CAD\n - Approved on 13 Sep 2031\n - Site: Lot 835-P, Fermont\n - Supplier: WG-14H-1182\n - On schedule\n - Rated capacity: 7.64 MW\n - Calibration constant: 68.6281\n - **Project Eshtal-12:**\n - Proposed by Oksana Okonkwo on 23",
		4	+ "2": "**Summary:**\n\n- **Proposals under review:** Zennovvol-7, Ruktor-14, Torsel-10 (no attributes recorded)\n- **Project Zennovvol-6:**\n - Proposed by Idris Abubakar on 5 Nov 2033\n - Initial budget: 6,889,172 NOK\n - Revised budget: 7,280,585 NOK\n - Approved on 8 Mar 2034\n - Site: Lot 208-C, Senneterre\n - Supplier: BH-71Y-2851\n - Launch postponed to 22 Apr 2034\n - Rated capacity: 35.2 km\n - Calibration constant: 58.0820\n- **Project Ruktor-14:**\n - Proposed by Teodora Mäkelä on 2 Jul 2032\n - Initial budget: 5,869,675 NOK\n - Revised budget: 5,802,310 NOK\n - Approved on 27 Oct 2032\n - Site: Lot 50-D, Matagami\n - Supplier: SP-38G-4217\n - Cancelled\n - Rated capacity: 30.99 MW\n - Calibration constant: 54.0816\n- **Project Torsel-10:**\n - Proposed by Haruki Rousseau on 18 Apr 2031\n - Initial budget: 1,661,075 CAD\n - Revised budget: 1,945,685 CAD\n - Approved on 13 Sep 2031\n - Site: Lot 835-P, Fermont\n - Supplier: WG-14H-1182\n - On schedule\n - Rated capacity: 7.64 MW\n - Calibration constant: 68.6281\n- **Project Eshtal-12:** (Incomplete information)",
		5	+ "3": "**Summary:**\n\n- Proposals under review: Zennovvol-7, Ruktor-14, Torsel-10 (no attributes recorded)\n- Project Zennovvol-6:\n - Proposed by Idris Abubakar on 5 Nov 2033\n - Initial budget: 6,889,172 NOK\n - Revised budget: 7,280,585 NOK\n - Approved on 8 Mar 2034\n - Site: Lot 208-C, Senneterre\n - Supplier: BH-71Y-2851\n - Launch postponed to 22 Apr 2034\n - Rated capacity: 35.2 km\n - Calibration constant: 58.0820\n- Project Ruktor-14:\n - Proposed by Teodora Mäkelä on 2 Jul 2032\n - Initial budget: 5,869,675 NOK\n - Revised budget: 5,802,310 NOK\n - Approved on 27 Oct 2032\n - Site: Lot 50-D, Matagami\n - Supplier: SP-38G-4217\n - Cancelled\n - Rated capacity: 30.99 MW\n - Calibration constant: 54.0816\n- Project Torsel-10:\n - Proposed by Haruki Rousseau on 18 Apr 2031\n - Initial budget: 1,661,075 CAD\n - Revised budget: 1,945,685 CAD\n - Approved on 13 Sep 2031\n - Site: Lot 835-P, Fermont\n - Supplier: WG-14H-1182\n - On schedule\n - Rated capacity: 7.64 MW\n - Calibration constant: 68.6281\n- Project Eshtal-12: (Incomplete information)",
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added runs/raw/chains/E4_pilot_syn_02000_2000_A5_closed_qwen3b.json +142 −0

				@@ -0,0 +1,142 @@
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added runs/raw/chains/E4_pilot_syn_02000_2000_A5_repairable_qwen3b.json +145 −0

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added runs/raw/chains/E4_pilot_syn_02001_8000_A4_closed_qwen3b.json +142 −0

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		1	+{
		2	+ "hops": {
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added runs/raw/chains/E4_pilot_syn_02001_8000_A4_repairable_qwen3b.json +145 −0

				@@ -0,0 +1,145 @@
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		3	+ "1": "**Summary:**\n\n- **Project Talzen-3:**\n - Proposed by Haruki Achterberg on 26 Oct 2034.\n - Initial budget: 898,925 CAD.\n - Budget revised to 755,615 CAD on 20 Jan 2035.\n - Approved on 21 Feb 2035.\n - Site: Lot 492-P, Sept-Îles.\n - Supplier: XY-15Q-8247.\n - Rated capacity: 21.14 km.\n - Calibration constant: 25.4159.\n - Status: On schedule, not cancelled or postponed.\n - Health and safety briefings mandatory.\n - Quarterly reviews on second Tuesday of month following quarter end.\n - Contingency reserves require written approval from finance director.\n - Travel reimbursements require original receipts and signed itinerary.\n - Minutes circulated within 5 business days and approved at next meeting.\n - All timestamps in local time at head office.\n - Project codes: Name-Hyphen-Sequence Number.\n - Environmental monitoring reports archived for 7 years.\n - Procurement follows three-quote rule for above-departmental threshold.\n - Minutes circulated within 5 business days and approved at next meeting.\n - Capital expenditure tracked separately from operating costs.\n - Travel reimbursements require original receipts and signed itinerary.\n - Environmental monitoring reports archived for 7 years.\n - Site access badges must be renewed annually and returned on project completion.\n - Committee reiterates nominal reporting unless otherwise stated.\n - Printed copies uncontrolled; electronic record prevails.\n - Vendor onboarding includes conflict-of-interest declaration and bank verification letter.\n\n- **Project Bangamruk-6:**\n - Proposed by Lorcan Petrakis on 5 Apr 2032.\n - Initial budget: 8,864,270 NOK.\n - Budget revised to 10,190,005 NOK on 5 Jul 2032, then to 9,466,355 NOK on 19 Oct 2032.\n - Approved on 23 Oct 2032.\n - Site: Lot 108-T, Chibougamau.\n - Supplier: BJ-45Z-9",
		4	+ "2": "- **Project Talzen-3:**\n - Proposed by Haruki Achterberg on 26 Oct 2034.\n - Initial budget: 898,925 CAD.\n - Budget revised to 755,615 CAD on 20 Jan 2035.\n - Approved on 21 Feb 2035.\n - Site: Lot 492-P, Sept-Îles.\n - Supplier: XY-15Q-8247.\n - Rated capacity: 21.14 km.\n - Calibration constant: 25.4159.\n - Status: On schedule, not cancelled or postponed.\n - Health and safety briefings mandatory.\n - Quarterly reviews on second Tuesday of month following quarter end.\n - Contingency reserves require written approval from finance director.\n - Travel reimbursements require original receipts and signed itinerary.\n - Minutes circulated within 5 business days and approved at next meeting.\n - All timestamps in local time at head office.\n - Project codes: Name-Hyphen-Sequence Number.\n - Environmental monitoring reports archived for 7 years.\n - Procurement follows three-quote rule for above-departmental threshold.\n - Minutes circulated within 5 business days and approved at next meeting.\n - Capital expenditure tracked separately from operating costs.\n - Travel reimbursements require original receipts and signed itinerary.\n - Environmental monitoring reports archived for 7 years.\n - Site access badges must be renewed annually and returned on project completion.\n - Committee reiterates nominal reporting unless otherwise stated.\n - Printed copies uncontrolled; electronic record prevails.\n - Vendor onboarding includes conflict-of-interest declaration and bank verification letter.\n\n- **Project Bangamruk-6:**\n - Proposed by Lorcan Petrakis on 5 Apr 2032.\n - Initial budget: 8,864,270 NOK.\n - Budget revised to 10,190,005 NOK on 5 Jul 2032, then to 9,466,355 NOK on 19 Oct 2032.\n - Approved on 23 Oct 2032.\n - Site: Lot 108-T, Chibougamau.\n - Supplier: BJ-45Z-9766.\n",
		5	+ "3": "Project Talzen-3, proposed by Haruki Achterberg on 26 Oct 2034, had an initial budget of 898,925 CAD revised to 755,615 CAD on 20 Jan 2035. Approved on 21 Feb 2035, it is located at Lot 492-P, Sept-Îles, with supplier identifier XY-15Q-8247. Rated capacity is 21.14 km and calibration constant is 25.4159. Status: On schedule, not cancelled or postponed. Health and safety briefings mandatory, quarterly reviews on second Tuesday of month following quarter end. Contingency reserves require finance director approval. Travel reimbursements need original receipts and signed itinerary. Minutes circulated within 5 business days and approved at next meeting. Capital expenditure tracked separately from operating costs. Environmental monitoring reports archived for 7 years. Procurement follows three-quote rule for above-departmental threshold. Site access badges must be renewed annually and returned on project completion. Committee reiterates nominal reporting unless otherwise stated. Printed copies uncontrolled; electronic record prevails.\n\nProject Bangamruk-6, proposed by Lorcan Petrakis on 5 Apr 2032, had an initial budget of 8,864,270 NOK revised to 10,190,005 NOK on 5 Jul 2032, then to 9,466,355 NOK on 19 Oct 2032. Approved on 23 Oct 2032, it is located at Lot 108-T, Chibougamau, with supplier identifier BJ-45Z-9766. Rated capacity is 29.29 t and calibration constant is 79.3209. Status: Cancelled, not postponed. Environmental monitoring reports archived for 7 years.",
		6	+ "4": "Project Talzen-3, proposed by Haruki Achterberg on 26 Oct 2034, had an initial budget of 898,925 CAD revised to 755,615 CAD on 20 Jan 2035. Approved on 21 Feb 2035, it is located at Lot 492-P, Sept-Îles, with supplier identifier XY-15Q-8247. Rated capacity is 21.14 km and calibration constant is 25.4159. Status: On schedule, not cancelled or postponed. Health and safety briefings mandatory, quarterly reviews on second Tuesday of month following quarter end. Contingency reserves require finance director approval. Travel reimbursements need original receipts and signed itinerary. Minutes circulated within 5 business days and approved at next meeting. Capital expenditure tracked separately from operating costs. Environmental monitoring reports archived for 7 years. Procurement follows three-quote rule for above-departmental threshold. Site access badges must be renewed annually and returned on project completion. Committee reiterates nominal reporting unless otherwise stated. Printed copies uncontrolled; electronic record prevails.\n\nProject Bangamruk-6, proposed by Lorcan Petrakis on 5 Apr 2032, had an initial budget of 8,864,270 NOK revised to 10,190,005 NOK on 5 Jul 2032, then to 9,466,355 NOK on 19 Oct 2032. Approved on 23 Oct 2032, it is located at Lot 108-T, Chibougamau, with supplier identifier BJ-45Z-9766. Rated capacity is 29.29 t and calibration constant is 79.3209. Status: Cancelled, not postponed. Environmental monitoring reports archived for 7 years."
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added runs/raw/chains/E4_pilot_syn_02001_8000_A5_repairable_qwen3b.json +145 −0

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added runs/raw/chains/E4_pilot_syn_02003_2000_A4_closed_qwen3b.json +142 −0

				@@ -0,0 +1,142 @@
		1	+{
		2	+ "hops": {
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added runs/raw/chains/E4_pilot_syn_02003_2000_A4_repairable_qwen3b.json +145 −0

				@@ -0,0 +1,145 @@
		1	+{
		2	+ "hops": {
		3	+ "1": "**Summary:**\n\n- **Capital Projects Register, Issue 659:**\n - **Proposals under review:** Ripra-12, Volaldlith-8, Komel-6 (no attributes recorded)\n - **Ripra-10:**\n - Proposed by Bohdan Kirchhoff on 26 July 2034\n - Initial budget: 1,844,550 CAD\n - Revised budgets: 1,559,015 CAD (8 Sep 2034), 1,768,750 CAD (27 Oct 2034)\n - Approved on 9 Nov 2034\n - Site: Lot 536-C, Baie-Comeau\n - Supplier: LP-79U-1063\n - Rated capacity: 17.8 MW\n - Calibration constant: 9.1829\n - Status: Not cancelled, launch postponed to 11 Jan 2035\n - **Volaldlith-4:**\n - Proposed by Rasheed Mäkelä on 26 Feb 2030\n - Initial budget: 5,225,444 NOK\n - Approved on 3 Apr 2030\n - Site: Lot 829-T, La Tuque\n - Supplier: WM-90P-2460\n - Rated capacity: 2.25 MW\n - Calibration constant: 35.5234\n - Status: Not cancelled, launch postponed to 19 Dec 2030\n - **Komel-1:**\n - Proposed by Wilhelmina Achterberg on 10 Jul 2034\n - Initial budget: 2,660,810 CAD\n - Revised budgets: 2,968,560 CAD (2 Oct 2034), 3,039,190 CAD (11 Oct 2034)\n - Approved on 6 Dec 2034\n - Site: Lot 787-V, Sept-Îles\n - Supplier: PN-55H-5346\n - Rated capacity:",
		4	+ "2": "- **Capital Projects Register, Issue 659:**\n - **Proposals under review:** Ripra-12, Volaldlith-8, Komel-6 (no attributes recorded)\n - **Ripra-10:**\n - Proposed by Bohdan Kirchhoff on 26 Jul 2034\n - Initial budget: 1,844,550 CAD\n - Revised budgets: 1,559,015 CAD (8 Sep 2034), 1,768,750 CAD (27 Oct 2034)\n - Approved on 9 Nov 2034\n - Site: Lot 536-C, Baie-Comeau\n - Supplier: LP-79U-1063\n - Rated capacity: 17.8 MW\n - Calibration constant: 9.1829\n - Status: Not cancelled, launch postponed to 11 Jan 2035\n - **Volaldlith-4:**\n - Proposed by Rasheed Mäkelä on 26 Feb 2030\n - Initial budget: 5,225,444 NOK\n - Approved on 3 Apr 2030\n - Site: Lot 829-T, La Tuque\n - Supplier: WM-90P-2460\n - Rated capacity: 2.25 MW\n - Calibration constant: 35.5234\n - Status: Not cancelled, launch postponed to 19 Dec 2030\n - **Komel-1:**\n - Proposed by Wilhelmina Achterberg on 10 Jul 2034\n - Initial budget: 2,660,810 CAD\n - Revised budgets: 2,968,560 CAD (2 Oct 2034), 3,039,190 CAD (11 Oct 2034)\n - Approved on 6 Dec 2034\n - Site: Lot 787-V, Sept-Îles\n - Supplier: PN-55H-5346\n - Rated capacity: 12.",
		5	+ "3": "Capital Projects Register, Issue 659: Proposals under review: Ripra-12, Volaldlith-8, Komel-6 (no attributes recorded). \n\nRipra-10: Proposed by Bohdan Kirchhoff on 26 Jul 2034, initial budget 1,844,550 CAD. Revised budgets: 1,559,015 CAD (8 Sep 2034), 1,768,750 CAD (27 Oct 2034). Approved on 9 Nov 2034, site Lot 536-C, Baie-Comeau, supplier LP-79U-1063, rated capacity 17.8 MW, calibration constant 9.1829. Not cancelled, launch postponed to 11 Jan 2035.\n\nVolaldlith-4: Proposed by Rasheed Mäkelä on 26 Feb 2030, initial budget 5,225,444 NOK. Approved on 3 Apr 2030, site Lot 829-T, La Tuque, supplier WM-90P-2460, rated capacity 2.25 MW, calibration constant 35.5234. Not cancelled, launch postponed to 19 Dec 2030.\n\nKomel-1: Proposed by Wilhelmina Achterberg on 10 Jul 2034, initial budget 2,660,810 CAD. Revised budgets: 2,968,560 CAD (2 Oct 2034), 3,039,190 CAD (11 Oct 2034). Approved on 6 Dec 2034, site Lot 787-V, Sept-Îles, supplier PN-55H-5346, rated capacity 12.",
		6	+ "4": "Capital Projects Register, Issue 659: Proposals under review: Ripra-12, Volaldlith-8, Komel-6 (no attributes recorded).\n\nRipra-10: Proposed by Bohdan Kirchhoff on 26 Jul 2034, initial budget 1,844,550 CAD. Revised budgets: 1,559,015 CAD (8 Sep 2034), 1,768,750 CAD (27 Oct 2034). Approved on 9 Nov 2034, site Lot 536-C, Baie-Comeau, supplier LP-79U-1063, rated capacity 17.8 MW, calibration constant 9.1829. Not cancelled, launch postponed to 11 Jan 2035.\n\nVolaldlith-4: Proposed by Rasheed Mäkelä on 26 Feb 2030, initial budget 5,225,444 NOK. Approved on 3 Apr 2030, site Lot 829-T, La Tuque, supplier WM-90P-2460, rated capacity 2.25 MW, calibration constant 35.5234. Not cancelled, launch postponed to 19 Dec 2030.\n\nKomel-1: Proposed by Wilhelmina Achterberg on 10 Jul 2034, initial budget 2,660,810 CAD. Revised budgets: 2,968,560 CAD (2 Oct 2034), 3,039,190 CAD (11 Oct 2034). Approved on 6 Dec 2034, site Lot 787-V, Sept-Îles, supplier PN-55H-5346, rated capacity 12."
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added runs/raw/chains/E4_pilot_syn_02003_2000_A5_closed_qwen3b.json +142 −0

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added runs/raw/chains/E4_pilot_syn_02003_2000_A5_repairable_qwen3b.json +145 −0

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		4	+ "2": "The document tracks capital projects in a Capital Projects Register, with later entries superseding earlier ones if they conflict. Projects under review have no recorded attributes. Approved projects include Osttal-4 (budget revised, 29.7 km capacity, 50.1687 calibration constant), Obyzenlun-18 (budget revised, 24.68 t capacity, 29.0609 calibration constant), Quinovtis-13 (budget revised, 20.7 km capacity, 49.9821 calibration constant), Luntek-15 (13.3 MW capacity, 18.9245 calibration constant), Lithtorqui-1 (21.05 ha capacity, 17.2216 calibration constant), and Quitissel-11 (1.17 km capacity, 35.6083 calibration constant). Rejected/cancelled projects are Osttal-4 (rejected, launch postponed), Obyzenlun-18 (cancelled), Quinovtis-13 (postponed), Lithtorqui-1 (on schedule), and Quitissel-11 (postponed). Contingency reserves require finance director approval. Vendor onboarding involves conflict-of-interest declaration and bank verification. Quarterly reviews occur on the second Tuesday of the month following the quarter end. Health and safety briefings are mandatory for all visitors entering active sites. Environmental monitoring reports are archived for seven years. Travel reimbursements need original receipts and signed itineraries. Project codes follow a pattern of a name, hyphen, and sequence number. Figures are in nominal terms unless stated otherwise. Procurement follows a three-quote rule for purchases above the departmental threshold. Site access badges must be renewed annually and returned on project completion. The internal audit function reports to the governance board, not project leads. Printed copies of the memo are uncontrolled; the electronic record prevails.",
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added runs/raw/chains/E4_pilot_syn_02004_8000_A4_repairable_qwen3b.json +145 −0

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		1	+{
		2	+ "hops": {
		3	+ "1": "The document contains details of various capital projects, including their status, budget, site, supplier, and other attributes. Key points:\n\n- Projects are tracked in a Capital Projects Register, with later entries superseding earlier ones if they conflict.\n- Projects under review have no recorded attributes.\n- Projects proposed and approved:\n - Osttal-4: Budget revised, rejected, postponed, 29.7 km capacity, 50.1687 calibration constant.\n - Obyzenlun-18: Budget revised, cancelled, 24.68 t capacity, 29.0609 calibration constant.\n - Quinovtis-13: Budget revised, approved, postponed, 20.7 km capacity, 49.9821 calibration constant.\n - Luntek-15: Approved, on schedule, 13.3 MW capacity, 18.9245 calibration constant.\n - Lithtorqui-1: Approved, on schedule, 21.05 ha capacity, 17.2216 calibration constant.\n - Quitissel-11: Approved, postponed, 1.17 km capacity, 35.6083 calibration constant.\n- Projects rejected or cancelled:\n - Osttal-4: Rejected, launch postponed.\n - Obyzenlun-18: Cancelled.\n - Quinovtis-13: Postponed.\n - Lithtorqui-1: On schedule.\n - Quitissel-11: Postponed.\n- Contingency reserves require written approval from the finance director.\n- Vendor onboarding includes conflict-of-interest declaration and bank verification letter.\n- Quarterly reviews are held on the second Tuesday of the month following the quarter end.\n- Health and safety briefings are mandatory for all visitors entering active sites.\n- Environmental monitoring reports are archived for seven years.\n- Travel reimbursements require original receipts and signed itineraries.\n- Project codes follow a pattern of a name, hyphen, and sequence number.\n- All figures are reported in nominal terms unless otherwise stated.\n- Procurement follows the standard three-quote rule for purchases above the departmental threshold.\n- Site access badges must be renewed annually and returned on project completion.\n- The internal audit function reports to the governance board, not to project leads.\n- Printed copies of the memo are uncontrolled; the electronic record prevails.",
		4	+ "2": "The document contains details of various capital projects including Osttal-4, Obyzenlun-18, Quitissel-11, Luntek-15, Lithtorqui-1, and Quinovtis-13. Key points:\n\n- Osttal-4: Proposed by Zéphyrine Okonkwo, initial budget 2,772,580 CAD, revised to 2,308,995 CAD, rejected, budgeted capacity 29.7 km, calibration constant 50.1687, postponed to 3 Oct 2035.\n- Obyzenlun-18: Proposed by Bohdan Varga, initial budget 3,528,400 CAD, cancelled, capacity 24.68 t, calibration constant 29.0609.\n- Quitissel-11: Proposed by Haruki Delacroix, initial budget 7,281,360 CAD, approved, postponed to 20 Aug 2030, capacity 1.17 km, calibration constant 35.6083.\n- Luntek-15: Approved, on schedule, capacity 13.3 MW, calibration constant 18.9245.\n- Lithtorqui-1: Approved, on schedule, capacity 21.05 ha, calibration constant 17.2216.\n- Quinovtis-13: Budget revised, capacity 20.7 km, calibration constant 49.9821, postponed.\n\nProjects rejected or cancelled:\n- Osttal-4: Rejected, launch postponed.\n- Obyzenlun-18: Cancelled.\n- Quinovtis-13: Postponed.\n- Lithtorqui-1: On schedule.\n- Quitissel-11: Postponed.\n\nContingency reserves require approval, vendor onboarding includes conflict-of-interest declaration and bank verification, quarterly reviews on second Tuesday of month following quarter end, health and safety briefings mandatory, environmental monitoring reports archived for 7 years, travel reimbursements require receipts and signed itineraries, internal audit reports to governance board, printed copies uncontrolled, electronic record prevails.",
		5	+ "3": "The document details various capital projects including Osttal-4, Obyzenlun-18, Quitissel-11, Luntek-15, Lithtorqui-1, and Quinovtis-13. Key points:\n\n- **Osttal-4**: Proposed by Zéphyrine Okonkwo, initial budget 2,772,580 CAD, revised to 2,308,995 CAD, rejected, budgeted capacity 29.7 km, calibration constant 50.1687, postponed to 3 Oct 2035.\n- **Obyzenlun-18**: Proposed by Bohdan Varga, initial budget 3,528,400 CAD, cancelled, capacity 24.68 t, calibration constant 29.0609.\n- **Quitissel-11**: Proposed by Haruki Delacroix, initial budget 7,281,360 CAD, approved, postponed to 20 Aug 2030, capacity 1.17 km, calibration constant 35.6083.\n- **Luntek-15**: Approved, on schedule, capacity 13.3 MW, calibration constant 18.9245.\n- **Lithtorqui-1**: Approved, on schedule, capacity 21.05 ha, calibration constant 17.2216.\n- **Quinovtis-13**: Budget revised, capacity 20.7 km, calibration constant 49.9821, postponed.\n\nProjects rejected or cancelled:\n- Osttal-4: Rejected, launch postponed.\n- Obyzenlun-18: Cancelled.\n- Quinovtis-13: Postponed.\n- Lithtorqui-1: On schedule.\n- Quitissel-11: Postponed.\n\nContingency reserves require approval, vendor onboarding includes conflict-of-interest declaration and bank verification, quarterly reviews on second Tuesday of month following quarter end, health and safety briefings mandatory, environmental monitoring reports archived for 7 years, travel reimbursements require receipts and signed itineraries, internal audit reports to governance board, printed copies uncontrolled, electronic record prevails.",
		6	+ "4": "The document details various capital projects including Osttal-4, Obyzenlun-18, Quitissel-11, Luntek-15, Lithtorqui-1, and Quinovtis-13. Key points:\n\n- **Osttal-4**: Proposed by Zéphyrine Okonkwo, initial budget 2,772,580 CAD, revised to 2,308,995 CAD, rejected, budgeted capacity 29.7 km, calibration constant 50.1687, postponed to 3 Oct 2035.\n- **Obyzenlun-18**: Proposed by Bohdan Varga, initial budget 3,528,400 CAD, cancelled, capacity 24.68 t, calibration constant 29.0609.\n- **Quitissel-11**: Proposed by Haruki Delacroix, initial budget 7,281,360 CAD, approved, postponed to 20 Aug 2030, capacity 1.17 km, calibration constant 35.6083.\n- **Luntek-15**: Approved, on schedule, capacity 13.3 MW, calibration constant 18.9245.\n- **Lithtorqui-1**: Approved, on schedule, capacity 21.05 ha, calibration constant 17.2216.\n- **Quinovtis-13**: Budget revised, capacity 20.7 km, calibration constant 49.9821, postponed.\n\nProjects rejected or cancelled:\n- Osttal-4: Rejected, launch postponed.\n- Obyzenlun-18: Cancelled.\n- Quinovtis-13: Postponed.\n- Lithtorqui-1: On schedule.\n- Quitissel-11: Postponed.\n\nContingency reserves require approval, vendor onboarding includes conflict-of-interest declaration and bank verification, quarterly reviews on second Tuesday of month following quarter end, health and safety briefings mandatory, environmental monitoring reports archived for 7 years, travel reimbursements require receipts and signed itineraries, internal audit reports to governance board, printed copies uncontrolled, electronic record prevails."
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added runs/raw/chains/E4_pilot_syn_02004_8000_A5_repairable_qwen3b.json +145 −0

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added runs/raw/chains/E4_pilot_syn_02006_2000_A4_closed_qwen3b.json +142 −0

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added runs/raw/chains/E4_pilot_syn_02006_2000_A4_repairable_qwen3b.json +145 −0

				@@ -0,0 +1,145 @@
		1	+{
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		4	+ "2": "**Summary:**\n\n- **Capital Projects Register, Issue 987**\n - **Proposals under review (no attributes recorded):**\n - Drazenker-20, Novnak-19, Volymifel-4\n - **Drazenker-18:**\n - Proposed by Nnamdi Ouellet-Marchand on 21 Feb 2034\n - Initial budget: 4,311,894 CAD\n - Revised budgets: 3,833,425 CAD (24 Mar 2034), 4,216,925 CAD (8 Jul 2034)\n - Approved on 31 Aug 2034\n - Site: Lot 144-F, Val-d'Or\n - Supplier: WP-95V-4221\n - Rated capacity: 25.85 t\n - Calibration constant: 87.2165\n - Status: Cancelled\n - **Novnak-18:**\n - Proposed by Zéphyrine Okonkwo on 20 Nov 2032\n - Initial budget: 9,017,863 CAD\n - Revised budgets: 9,356,570 CAD (16 Mar 2033), 10,592,075 CAD (10 Jun 2033)\n - Rejected on 23 Jul 2033\n - Site: Lot 735-V, Fermont\n - Supplier: HZ-85G-3390\n - Rated capacity: 22.38 MW\n - Calibration constant: 37.0357\n - Status: Cancelled\n - **Volymifel-3:**\n - Proposed by Bohdan Delacroix on 2 Mar 2034\n - Initial budget: 2,235,072 NOK\n - Revised budgets: 2,431,725 NOK (8 May 2034), 1,837,420 NOK (3 Jul 2034)\n - Approved on 20 Aug 2",
		5	+ "3": "**Summary:**\n\n- **Capital Projects Register, Issue 987**\n - **Proposals under review (no attributes recorded):**\n - Drazenker-20, Novnak-19, Volymifel-4\n - **Drazenker-18:**\n - Proposed by Nnamdi Ouellet-Marchand on 21 Feb 2034\n - Initial budget: 4,311,894 CAD\n - Revised budgets: 3,833,425 CAD (24 Mar 2034), 4,216,925 CAD (8 Jul 2034)\n - Approved on 31 Aug 2034\n - Site: Lot 144-F, Val-d'Or\n - Supplier: WP-95V-4221\n - Rated capacity: 25.85 t\n - Calibration constant: 87.2165\n - Status: Cancelled\n - **Novnak-18:**\n - Proposed by Zéphyrine Okonkwo on 20 Nov 2032\n - Initial budget: 9,017,863 CAD\n - Revised budgets: 9,356,570 CAD (16 Mar 2033), 10,592,075 CAD (10 Jun 2033)\n - Rejected on 23 Jul 2033\n - Site: Lot 735-V, Fermont\n - Supplier: HZ-85G-3390\n - Rated capacity: 22.38 MW\n - Calibration constant: 37.0357\n - Status: Cancelled\n - **Volymifel-3:**\n - Proposed by Bohdan Delacroix on 2 Mar 2034\n - Initial budget: 2,235,072 NOK\n - Revised budgets: 2,431,725 NOK (8 May 2034), 1,837,420 NOK (3 Jul 2034)\n - Approved on 20 Aug 2",
		6	+ "4": "**Summary:**\n\n- **Capital Projects Register, Issue 987**\n - **Proposals under review (no attributes recorded):**\n - Drazenker-20, Novnak-19, Volymifel-4\n - **Drazenker-18:**\n - Proposed by Nnamdi Ouellet-Marchand on 21 Feb 2034\n - Initial budget: 4,311,894 CAD\n - Revised budgets: 3,833,425 CAD (24 Mar 2034), 4,216,925 CAD (8 Jul 2034)\n - Approved on 31 Aug 2034\n - Site: Lot 144-F, Val-d'Or\n - Supplier: WP-95V-4221\n - Rated capacity: 25.85 t\n - Calibration constant: 87.2165\n - Status: Cancelled\n - **Novnak-18:**\n - Proposed by Zéphyrine Okonkwo on 20 Nov 2032\n - Initial budget: 9,017,863 CAD\n - Revised budgets: 9,356,570 CAD (16 Mar 2033), 10,592,075 CAD (10 Jun 2033)\n - Rejected on 23 Jul 2033\n - Site: Lot 735-V, Fermont\n - Supplier: HZ-85G-3390\n - Rated capacity: 22.38 MW\n - Calibration constant: 37.0357\n - Status: Cancelled\n - **Volymifel-3:**\n - Proposed by Bohdan Delacroix on 2 Mar 2034\n - Initial budget: 2,235,072 NOK\n - Revised budgets: 2,431,725 NOK (8 May 2034), 1,837,420 NOK (3 Jul 2034)\n - Approved on 20 Aug 2"
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added runs/raw/chains/E4_pilot_syn_02006_2000_A5_closed_qwen3b.json +142 −0

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added runs/raw/chains/E4_pilot_syn_02006_2000_A5_repairable_qwen3b.json +145 −0

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added runs/raw/chains/E4_pilot_syn_02007_8000_A5_closed_qwen3b.json +142 −0

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		131	+ "date": 0.0,
		132	+ "amount": 0.08333333333333333,
		133	+ "status": 0.3333333333333333,
		134	+ "place": 0.16666666666666666,
		135	+ "identifier": 0.16666666666666666,
		136	+ "quantity": 0.16666666666666666
		137	+ },
		138	+ "unsupported_numbers": 0,
		139	+ "unsupported_identifiers": 0,
		140	+ "distorted_sentences": 0,
		141	+ "message_bytes": 641
		142	+ }
		143	+ }
		144	+ }
		145	+}
	\ No newline at end of file

added scripts/collect_remote_results.sh +38 −0

				@@ -0,0 +1,38 @@
		1	+#!/bin/bash
		2	+# Pull raw records, logs and chain messages from the cluster nodes and merge the E1_core Llama shard into runs/raw/E1_core.jsonl
		3	+# (idempotent: shard records are appended only if their attempt_id is not already present).
		4	+set -e
		5	+cd "$(dirname "$0")/.."
		6	+mkdir -p runs/raw/remote runs/logs/remote runs/raw/chains
		7	+rsync -aq M3U96a:~/wp30-worker/wp30/runs/raw/E1_core.jsonl runs/raw/remote/E1_core_llama_m3u96a.jsonl
		8	+rsync -aq M3U96a:~/wp30-worker/wp30/runs/logs/ runs/logs/remote/m3u96a/
		9	+for f in ED_hosted_core E4_core E5_core E3_core E3_core_sender; do rsync -aq M3U96b:~/wp30-worker/wp30/runs/raw/$f.jsonl runs/raw/ 2>/dev/null || true; done
		10	+rsync -aq M3U96b:~/wp30-worker/wp30/runs/raw/chains/ runs/raw/chains/ 2>/dev/null || true
		11	+rsync -aq M3U96b:~/wp30-worker/wp30/runs/logs/ runs/logs/remote/m3u96b/
		12	+python3 - <<'PY'
		13	+import json
		14	+seen = set()
		15	+for l in open("runs/raw/E1_core.jsonl"):
		16	+ seen.add(json.loads(l)["attempt_id"])
		17	+n = 0
		18	+with open("runs/raw/E1_core.jsonl", "a") as out:
		19	+ for l in open("runs/raw/remote/E1_core_llama_m3u96a.jsonl"):
		20	+ r = json.loads(l)
		21	+ if r["attempt_id"] not in seen:
		22	+ r["hardware_id"] = "m3u96a-m3ultra-96g"; out.write(json.dumps(r, ensure_ascii=False) + "\n"); seen.add(r["attempt_id"]); n += 1
		23	+print("merged", n, "new Llama-shard records; total", len(seen))
		24	+# relabel hardware for records produced on M3U96b by code that still carried the laptop constant
		25	+for f in ["E4_core", "E5_core", "E3_core", "E3_core_sender"]:
		26	+ p = f"runs/raw/{f}.jsonl"
		27	+ try:
		28	+ rows = [json.loads(l) for l in open(p)]
		29	+ except FileNotFoundError:
		30	+ continue
		31	+ ch = 0
		32	+ for r in rows:
		33	+ if r.get("hardware_id") == "laptop-m5max-48g":
		34	+ r["hardware_id"] = "m3u96b-m3ultra-96g"; ch += 1
		35	+ with open(p, "w") as out:
		36	+ for r in rows: out.write(json.dumps(r, ensure_ascii=False) + "\n")
		37	+ print(f, "relabelled", ch)
		38	+PY

added scripts/queue_m3u96a.sh +4 −0

				@@ -0,0 +1,4 @@
		1	+#!/bin/bash
		2	+cd ~/wp30-worker/wp30 && source ../.venv/bin/activate
		3	+echo "$(date -u +%FT%TZ) llama shard start" >> runs/logs/queue_m3u96a.log
		4	+python -m wp30 run --config configs/core_llama.yaml --resume > runs/logs/E1_core_llama.stdout 2>&1; echo "$(date -u +%FT%TZ) llama shard done rc=$?" >> runs/logs/queue_m3u96a.log

added scripts/queue_m3u96b.sh +11 −0

				@@ -0,0 +1,11 @@
		1	+#!/bin/bash
		2	+# Sequential GPU queue on M3U96b after E6 core: hosted core, chains core, fan-in core, transfer core (+ sender-alone reference).
		3	+cd ~/wp30-worker/wp30 && source ../.venv/bin/activate
		4	+pkill -f "wp30 worker" 2>/dev/null; sleep 2
		5	+echo "$(date -u +%FT%TZ) queue start" >> runs/logs/queue_m3u96b.log
		6	+python -m wp30.cli_extra hosted configs/hosted_core.yaml --resume > runs/logs/ED_hosted_core.stdout 2>&1; echo "$(date -u +%FT%TZ) hosted done rc=$?" >> runs/logs/queue_m3u96b.log
		7	+python -m wp30.cli_extra chains configs/chains_core.yaml --resume > runs/logs/E4_core.stdout 2>&1; echo "$(date -u +%FT%TZ) chains done rc=$?" >> runs/logs/queue_m3u96b.log
		8	+python -m wp30.cli_extra fanin configs/fanin_core.yaml --resume > runs/logs/E5_core.stdout 2>&1; echo "$(date -u +%FT%TZ) fanin done rc=$?" >> runs/logs/queue_m3u96b.log
		9	+python -m wp30 run --config configs/core_transfer.yaml --resume > runs/logs/E3_core.stdout 2>&1; echo "$(date -u +%FT%TZ) transfer done rc=$?" >> runs/logs/queue_m3u96b.log
		10	+python -m wp30 run --config configs/core_sender_alone.yaml --resume > runs/logs/E3_core_sender.stdout 2>&1; echo "$(date -u +%FT%TZ) sender-alone done rc=$?" >> runs/logs/queue_m3u96b.log
		11	+echo "$(date -u +%FT%TZ) queue end" >> runs/logs/queue_m3u96b.log

modified src/wp30/analysis/analyze.py +30 −24

				@@ -151,38 +151,43 @@ def fig_handoffs(df: pd.DataFrame, exp: str, sources, name="fig5_handoffs"):
151	_save_fig(fig, name, sources, "means over documents; chains defined in configs/chains*.yaml")	151	_save_fig(fig, name, sources, "means over documents; chains defined in configs/chains*.yaml")
152		152
153	def fig_breakeven(net_rows: list[dict], exp: str, sources, name="fig6_breakeven"):	153	def fig_breakeven(net_rows: list[dict], exp: str, sources, name="fig6_breakeven"):
154	− """Measured two-node transfer vs remote text prefill; modeled curves from measured bandwidth."""	154	+ """Left: measured two-node transfer vs remote text prefill (medians with p25-p75 bars per target length).
		155	+ Right: analytic transfer-time model from the measured bandwidth and the measured remote prefill slope."""
155	_style()	156	_style()
156	if not net_rows: return	157	if not net_rows: return
157	− n = pd.DataFrame(net_rows)	158	+ n = pd.DataFrame(net_rows); n = n[n["label"] != "loopback"]
158	− fig, axes = plt.subplots(1, 2, figsize=(8.4, 3.0))	159	+ fig, axes = plt.subplots(1, 2, figsize=(8.6, 3.1))
159	ax = axes[0]	160	ax = axes[0]
160	− for (meth, bits, codec), g in n[n["method"] != "local_prefill"].groupby(["method", "bits", "codec"], dropna=False):	161	+ series = [("text_remote_prefill", None, "none", "text -> remote prefill", "#2a78d6", "o", "-"),
161	− if meth == "text_remote_prefill":	162	+ ("B1", None, "none", "B1 bf16 cache", "#6250d6", "D", "-"), ("B1", None, "zstd", "B1 bf16 + zstd", "#6250d6", "D", ":"),
162	− tot = g["roundtrip_ms"]; lab = "text → remote prefill"; color = "#2a78d6"; mk = "o"	163	+ ("B2", 8.0, "none", "B2 8-bit cache", "#eb6834", "s", "-"), ("B2", 4.0, "none", "B2 4-bit cache (Qwen: quality 0)", "#e34948", "x", "--")]
163	− else:	164	+ for meth, bits, codec, lab, color, mk, ls in series:
164	− tot = g["roundtrip_ms"]; lab = f"{meth}" + (f" {int(bits)}-bit" if pd.notna(bits) else "") + (f" +{codec}" if codec != "none" else ""); color = "#eb6834" if pd.notna(bits) else "#6250d6"; mk = "s" if pd.notna(bits) else "D"	165	+ g = n[(n["method"] == meth) & (n["codec"].fillna("none") == codec)]
165	− gg = g.groupby("prefix_tokens")["roundtrip_ms"].median()	166	+ g = g[g["bits"].isna()] if bits is None else g[g["bits"] == bits]
166	− ax.plot(gg.index, gg.values, marker=mk, ms=4, color=color, lw=1, label=lab, alpha=0.9 if codec == "none" else 0.55, ls="-" if codec == "none" else ":")	167	+ if g.empty: continue
167	− ax.set_xlabel("context tokens"); ax.set_ylabel("remote answer round trip, ms (measured)"); ax.set_title("Measured: M3U96a → M3U96b, 1 GbE", fontsize=8.5); ax.legend(fontsize=6.5)	168	+ agg = g.groupby("target_tokens").agg(x=("prefix_tokens", "median"), y=("roundtrip_ms", "median"), lo=("roundtrip_ms", lambda s: s.quantile(0.25)), hi=("roundtrip_ms", lambda s: s.quantile(0.75))).reset_index()
		169	+ ax.errorbar(agg["x"], agg["y"], yerr=[agg["y"] - agg["lo"], agg["hi"] - agg["y"]], fmt=mk + ls, color=color, ms=4.5, lw=1.1, capsize=2, label=lab, mfc="white" if meth == "B1" else None)
		170	+ loc = n[n["method"] == "local_prefill"]
		171	+ if len(loc):
		172	+ agg = loc.groupby("target_tokens").agg(x=("prefix_tokens", "median"), y=("local_prefill_ms", "median")).reset_index()
		173	+ ax.plot(agg["x"], agg["y"], "^-.", color="#7a7a78", ms=4.5, lw=1, label="local prefill only (no transfer, no decode)")
		174	+ ax.set_xlabel("context tokens (median per length class)"); ax.set_ylabel("ms"); ax.set_title("Measured: M3U96a -> M3U96b, 1 GbE (18 runs per point)", fontsize=8.5)
		175	+ ax.legend(fontsize=6.5, loc="upper left")
168	ax = axes[1]	176	ax = axes[1]
169	bw = n[n["method"].isin(["B1", "B2"])]["effective_gbps"].median()	177	bw = n[n["method"].isin(["B1", "B2"])]["effective_gbps"].median()
170	− L = np.linspace(500, 32000, 50)	178	+ b1 = n[(n["method"] == "B1") & (n["codec"].fillna("none") == "none")]
171	− for bits, bpp in [(16, 2), (8, 1.07), (4, 0.57)]:
172	− pass
173	− # bytes per token measured from B1 rows (Qwen3B)
174	− b1 = n[(n["method"] == "B1") & (n["codec"] == "none")]
175	bpt = (b1["serialized_bytes"] / b1["prefix_tokens"]).median() if len(b1) else np.nan	179	bpt = (b1["serialized_bytes"] / b1["prefix_tokens"]).median() if len(b1) else np.nan
176	tr = n[n["method"] == "text_remote_prefill"]	180	tr = n[n["method"] == "text_remote_prefill"]
177	if len(tr) and not np.isnan(bpt):	181	if len(tr) and not np.isnan(bpt):
178	slope = (tr["remote_prefill_ms"] / tr["prefix_tokens"]).median()	182	slope = (tr["remote_prefill_ms"] / tr["prefix_tokens"]).median()
179	− for frac, lab, color in [(1.0, "bf16 cache", "#6250d6"), (0.53, "8-bit", "#eb6834"), (0.28, "4-bit", "#eb6834")]:	183	+ L = np.linspace(500, 32000, 50)
180	− for bw_g, ls in [(bw, "-"), (10.0, "--")]:	184	+ for frac, lab, color in [(1.0, "bf16 cache", "#6250d6"), (0.53, "8-bit cache", "#eb6834")]:
181	− t_ms = L * bpt * frac * 8 / (bw_g * 1e9) * 1000	185	+ for bw_g, ls, alpha in [(bw, "-", 0.95), (10.0, "--", 0.5)]:
182	− ax.plot(L, t_ms, ls, color=color, lw=1, alpha=0.9 if ls == "-" else 0.5, label=f"{lab} transfer @ {bw_g:.1f} Gb/s" if True else None)	186	+ ax.plot(L, L * bpt * frac * 8 / (bw_g * 1e9) * 1000, ls, color=color, lw=1.1, alpha=alpha, label=f"{lab} transfer @ {bw_g:.1f} Gb/s" + (" (hypothetical)" if bw_g == 10.0 else " (measured)"))
183	− ax.plot(L, L * slope, "-", color="#2a78d6", lw=1.5, label="remote text prefill (measured slope)")	187	+ ax.plot(L, L * slope, "-", color="#2a78d6", lw=1.6, label="remote text prefill (measured slope, M3 Ultra)")
184	− ax.set_xlabel("context tokens"); ax.set_ylabel("ms"); ax.set_title("Modeled from measured bandwidth and prefill slope", fontsize=8.5); ax.legend(fontsize=6, ncol=2)	188	+ ax.set_xlabel("context tokens"); ax.set_ylabel("ms"); ax.set_title("Analytic model (Qwen2.5-3B cache, measured slopes)", fontsize=8.5)
185	− _save_fig(fig, name, sources, "left = measured; right = analytic model (dashed 10 Gb/s is hypothetical)")	189	+ ax.legend(fontsize=6.3, loc="upper left"); ax.set_ylim(0, None)
		190	+ _save_fig(fig, name, sources, "left = measured (medians, p25-p75); right = analytic model from measured bandwidth and prefill slope; dashed 10 Gb/s is hypothetical")
186		191
187	# ------------------------------------------------------------------------------------------------------------ main	192	# ------------------------------------------------------------------------------------------------------------ main
188	def main(protocol_path: str) -> int:	193	def main(protocol_path: str) -> int:
				@@ -237,7 +242,8 @@ def main(protocol_path: str) -> int:
237	fig_breakeven(rows, "E6", [str(p.relative_to(ROOT)) for p in net_files])	242	fig_breakeven(rows, "E6", [str(p.relative_to(ROOT)) for p in net_files])
238	n = pd.DataFrame(rows)	243	n = pd.DataFrame(rows)
239	agg = n.groupby(["label", "method", "bits", "codec", "target_tokens"], dropna=False).agg(n=("repeat", "size"), bytes=("serialized_bytes", "median"), roundtrip_ms_p50=("roundtrip_ms", "median"), send_ms_p50=("send_ms", "median"),	244	agg = n.groupby(["label", "method", "bits", "codec", "target_tokens"], dropna=False).agg(n=("repeat", "size"), bytes=("serialized_bytes", "median"), roundtrip_ms_p50=("roundtrip_ms", "median"), send_ms_p50=("send_ms", "median"),
240	− remote_load_ms_p50=("remote_load_ms", "median"), remote_ttft_p50=("remote_ttft_ms", "median"), remote_prefill_p50=("remote_prefill_ms", "median"), eff_gbps=("effective_gbps", "median"), correct=("correct", "mean")).reset_index()	245	+ remote_load_ms_p50=("remote_load_ms", "median"), remote_ttft_p50=("remote_ttft_ms", "median"), remote_prefill_p50=("remote_prefill_ms", "median"), eff_gbps=("effective_gbps", "median"), correct=("correct", "mean"),
		246	+ local_prefill_p50=("local_prefill_ms", "median"), local_ttft_p50=("local_ttft_ms", "median"), remote_decode_p50=("remote_decode_ms", "median")).reset_index()
241	p = TAB / "E6_network.csv"; agg.to_csv(p, index=False); _prov(p, [str(x.relative_to(ROOT)) for x in net_files], "two-node transfer measurements")	247	p = TAB / "E6_network.csv"; agg.to_csv(p, index=False); _prov(p, [str(x.relative_to(ROOT)) for x in net_files], "two-node transfer measurements")
242	hosted = [p for p in (ROOT / "runs/raw").glob("ED_*.jsonl")]	248	hosted = [p for p in (ROOT / "runs/raw").glob("ED_*.jsonl")]
243	if hosted:	249	if hosted:

modified src/wp30/analysis/numbers.py +8 −0

				@@ -30,6 +30,14 @@ def main():
30	for _, r in tests.iterrows():	30	for _, r in tests.iterrows():
31	k = _key(r["name"].split(" ")[0])	31	k = _key(r["name"].split(" ")[0])
32	add("Diff" + k, r["diff"] * 100, "{:+.1f}"); add("Lo" + k, r["lo"] * 100, "{:+.1f}"); add("Hi" + k, r["hi"] * 100, "{:+.1f}"); add("P" + k, r["p_holm"], "{:.3f}"); add("N" + k, int(r["n"]), "{:d}")	32	add("Diff" + k, r["diff"] * 100, "{:+.1f}"); add("Lo" + k, r["lo"] * 100, "{:+.1f}"); add("Hi" + k, r["hi"] * 100, "{:+.1f}"); add("P" + k, r["p_holm"], "{:.3f}"); add("N" + k, int(r["n"]), "{:d}")
		33	+ e6 = TAB / "E6_network.csv"
		34	+ if e6.exists():
		35	+ t6 = pd.read_csv(e6); t6 = t6[t6["label"] != "loopback"]
		36	+ for _, r in t6.iterrows():
		37	+ tag = _key(f"{r['method']} {'' if pd.isna(r['bits']) else int(r['bits'])} {r['codec'] if isinstance(r['codec'], str) else ''} {int(r['target_tokens'])}")
		38	+ add("Esix" + tag + "Rt", r["roundtrip_ms_p50"], "{:,.0f}"); add("Esix" + tag + "Bytes", r["bytes"] / 1e6 if not pd.isna(r["bytes"]) else None, "{:.0f}")
		39	+ add("Esix" + tag + "Send", r["send_ms_p50"], "{:,.0f}"); add("Esix" + tag + "Prefill", r["remote_prefill_p50"] if not pd.isna(r.get("remote_prefill_p50", float("nan"))) else r.get("local_prefill_p50"), "{:,.0f}")
		40	+ add("Esix" + tag + "Load", r["remote_load_ms_p50"], "{:,.0f}"); add("Esix" + tag + "Gbps", r["eff_gbps"], "{:.2f}")
33	if (ROOT / "protocol/frozen.json").exists():	41	if (ROOT / "protocol/frozen.json").exists():
34	add("protocolHash", read_json(ROOT / "protocol/frozen.json")["protocol_hash"][:16], "{}")	42	add("protocolHash", read_json(ROOT / "protocol/frozen.json")["protocol_hash"][:16], "{}")
35	OUT.parent.mkdir(parents=True, exist_ok=True); OUT.write_text("\n".join(lines) + "\n")	43	OUT.parent.mkdir(parents=True, exist_ok=True); OUT.write_text("\n".join(lines) + "\n")

modified src/wp30/chains.py +2 −1

				@@ -16,7 +16,8 @@ from .prompts import SYSTEM_RECEIVER, receiver_user_text, SUMMARY_SYSTEM, EVIDEN
16	from .backends.mlx_backend import MLXModel, reset_peak	16	from .backends.mlx_backend import MLXModel, reset_peak
17	from .methods import text as TM	17	from .methods import text as TM
18		18
19	−HARDWARE_ID = "laptop-m5max-48g"	19	+import platform as _pf
		20	+HARDWARE_ID = {"MacBookPro-de-simon-pierre-2.local": "laptop-m5max-48g", "MacStudnpierre2": "m3u96a-m3ultra-96g", "m3u96b": "m3u96b-m3ultra-96g"}.get(_pf.node().split(".")[0] if _pf.node().startswith("MacStud") or _pf.node().startswith("m3u") else _pf.node(), _pf.node())
20		21
21	RELAY_SUMMARY_USER = ("You received the following notes from a colleague about a document you cannot see. Rewrite them as a faithful summary of at most "	22	RELAY_SUMMARY_USER = ("You received the following notes from a colleague about a document you cannot see. Rewrite them as a faithful summary of at most "
22	"{budget} tokens for the next colleague, preserving every concrete fact (names, identifiers, numbers, units, dates, statuses, negations) "	23	"{budget} tokens for the next colleague, preserving every concrete fact (names, identifiers, numbers, units, dates, statuses, negations) "

modified src/wp30/fanin.py +2 −1

				@@ -25,7 +25,8 @@ from .backends.mlx_backend import MLXModel
25	from .cache.sparse import SparseKVCache, cache_tensor_bytes, dense_kv	25	from .cache.sparse import SparseKVCache, cache_tensor_bytes, dense_kv
26	from .methods import text as TM	26	from .methods import text as TM
27		27
28	−HARDWARE_ID = "laptop-m5max-48g"	28	+import platform as _pf
		29	+HARDWARE_ID = {"MacBookPro-de-simon-pierre-2.local": "laptop-m5max-48g", "MacStudnpierre2": "m3u96a-m3ultra-96g", "m3u96b": "m3u96b-m3ultra-96g"}.get(_pf.node().split(".")[0] if _pf.node().startswith("MacStud") or _pf.node().startswith("m3u") else _pf.node(), _pf.node())
29		30
30	def partition_document(doc_text: str, key: dict, k: int, rng: random.Random, other_doc_text: str) -> list[dict]:	31	def partition_document(doc_text: str, key: dict, k: int, rng: random.Random, other_doc_text: str) -> list[dict]:
31	blocks = doc_text.split("\n\n")	32	blocks = doc_text.split("\n\n")

modified src/wp30/runner.py +2 −1

				@@ -27,7 +27,8 @@ FIDELITY = {"C0": "n/a", "C2": "custom", "C3": "custom", "A0": "custom", "A1": "
27	"A8": "official", "B0": "custom", "B1": "custom", "B2": "custom", "B2b": "inspired", "B3": "inspired", "B4": "custom",	27	"A8": "official", "B0": "custom", "B1": "custom", "B2": "custom", "B2b": "inspired", "B3": "inspired", "B4": "custom",
28	"B5": "faithful_reimplementation", "B6": "faithful_reimplementation", "B9": "custom"}	28	"B5": "faithful_reimplementation", "B6": "faithful_reimplementation", "B9": "custom"}
29		29
30	−HARDWARE_ID = "laptop-m5max-48g"	30	+import platform as _pf
		31	+HARDWARE_ID = {"MacBookPro-de-simon-pierre-2.local": "laptop-m5max-48g", "MacStudnpierre2": "m3u96a-m3ultra-96g", "m3u96b": "m3u96b-m3ultra-96g"}.get(_pf.node().split(".")[0] if _pf.node().startswith("MacStud") or _pf.node().startswith("m3u") else _pf.node(), _pf.node())
31		32
32	def _load_models(cfg):	33	def _load_models(cfg):
33	mcfg = yaml.safe_load(open(ROOT / "configs/models.yaml"))["models"]	34	mcfg = yaml.safe_load(open(ROOT / "configs/models.yaml"))["models"]
34		35