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1[2 {3  "file": "tab_prisma.tex",4  "caption": "Record flow of the mapping corpus (PRISMA-style, sequential exclusions).",5  "label": "tab:prisma",6  "sources": [7   "data/metadata/prisma_counts.json"8  ],9  "rows": 1110 },11 {12  "file": "tab_eligible_by_year.tex",13  "caption": "Eligible works by publication year (2026 incomplete).",14  "label": "tab:eligible_year",15  "sources": [16   "data/metadata/prisma_counts.json"17  ],18  "rows": 919 },20 {21  "file": "tab_eligible_by_type.tex",22  "caption": "Eligible works by document type.",23  "label": "tab:eligible_type",24  "sources": [25   "data/metadata/prisma_counts.json"26  ],27  "rows": 1228 },29 {30  "file": "tab_linkage.tex",31  "caption": "Record linkage between sources.",32  "label": "tab:linkage",33  "sources": [34   "data/metadata/linkage_report.json"35  ],36  "rows": 1237 },38 {39  "file": "tab_volume_yearly.tex",40  "caption": "Yearly volume and composition of the eligible corpus.",41  "label": "tab:volume_yearly",42  "sources": [43   "results/bibliometrics/volume_yearly.csv"44  ],45  "rows": 946 },47 {48  "file": "tab_citation_windows.tex",49  "caption": "Fixed-window citation statistics by publication year (c12: publication year + 1; c36: + 2 calendar years).",50  "label": "tab:citation_windows",51  "sources": [52   "results/bibliometrics/citation_windows_yearly.csv"53  ],54  "rows": 955 },56 {57  "file": "tab_team_size.tex",58  "caption": "Team size and collaboration by year.",59  "label": "tab:team_size",60  "sources": [61   "results/bibliometrics/team_size_yearly.csv"62  ],63  "rows": 1864 },65 {66  "file": "tab_industry.tex",67  "caption": "Works with a company affiliation by year.",68  "label": "tab:industry",69  "sources": [70   "results/bibliometrics/industry_share_yearly.csv"71  ],72  "rows": 973 },74 {75  "file": "tab_venue_hhi.tex",76  "caption": "Venue concentration by year.",77  "label": "tab:venue_hhi",78  "sources": [79   "results/bibliometrics/venue_hhi_yearly.csv"80  ],81  "rows": 982 },83 {84  "file": "tab_diversity.tex",85  "caption": "Rao\u2013Stirling and Leinster\u2013Cobbold diversity of the category mix by year (bootstrap 95\\% CI).",86  "label": "tab:diversity",87  "sources": [88   "results/bibliometrics/diversity_yearly.csv"89  ],90  "rows": 891 },92 {93  "file": "tab_cagr.tex",94  "caption": "Compound annual growth by category, baseline (2018\u20132022) and post (2023\u20132025).",95  "label": "tab:cagr",96  "sources": [97   "results/bibliometrics/cagr_by_category.csv"98  ],99  "rows": 40100 },101 {102  "file": "tab_countries.tex",103  "caption": "Fractional output of the fifteen largest countries by year.",104  "label": "tab:countries",105  "sources": [106   "./results/bibliometrics/countries_yearly.csv"107  ],108  "rows": 15109 },110 {111  "file": "tab_breaks.tex",112  "caption": "Structural-change estimates by series: ITS level and slope changes at 2022-12 (HAC p-values), placebo p-values, Bai\u2013Perron (BIC) and PELT break dates.",113  "label": "tab:breaks",114  "sources": [115   "./results/econometrics/breaks.csv"116  ],117  "rows": 41118 },119 {120  "file": "tab_emerging_h12.tex",121  "caption": "Out-of-time performance of the emerging-topic detectors at horizon 12 months (test cutoffs 2023-01\u20132024-10).",122  "label": "tab:emerging_h12",123  "sources": [124   "./results/emerging/metrics_h12.json"125  ],126  "rows": 3127 },128 {129  "file": "tab_emerging_h24.tex",130  "caption": "Out-of-time performance of the emerging-topic detectors at horizon 24 months (test cutoffs 2023-01\u20132024-04).",131  "label": "tab:emerging_h24",132  "sources": [133   "./results/emerging/metrics_h24.json"134  ],135  "rows": 3136 },137 {138  "file": "tab_known_set.tex",139  "caption": "Preregistered known-emergence set: detection month, peak-growth month and lead time.",140  "label": "tab:known_set",141  "sources": [142   "./results/emerging/known_set_lead_times.csv"143  ],144  "rows": 12145 },146 {147  "file": "tab_collaboration.tex",148  "caption": "Team size and collaboration indicators by publication year (all eligible works; periods of the source file summed).",149  "label": "tab:collaboration",150  "sources": [151   "./results/bibliometrics/team_size_yearly.csv",152   "./results/bibliometrics/international_collab_yearly.csv"153  ],154  "rows": 9155 },156 {157  "file": "tab_institution_types.tex",158  "caption": "Share of typed affiliations by OpenAlex institution type and year (per cent of affiliation-work pairs).",159  "label": "tab:institution_types",160  "sources": [161   "./results/bibliometrics/institution_types_yearly.csv"162  ],163  "rows": 9164 },165 {166  "file": "tab_country_shares.tex",167  "caption": "Share of fractional output of the fifteen largest countries by year (per cent).",168  "label": "tab:country_shares",169  "sources": [170   "./results/bibliometrics/countries_yearly.csv"171  ],172  "rows": 15173 },174 {175  "file": "tab_country_concentration.tex",176  "caption": "Concentration of output across countries by year, and the two largest producers under full counting.",177  "label": "tab:country_concentration",178  "sources": [179   "./results/bibliometrics/countries_yearly.csv"180  ],181  "rows": 9182 },183 {184  "file": "tab_country_network.tex",185  "caption": "The country co-authorship network by period: edges with at least fifty joint works.",186  "label": "tab:country_network",187  "sources": [188   "./results/bibliometrics/country_pairs_by_period.csv"189  ],190  "rows": 2191 },192 {193  "file": "tab_country_pairs.tex",194  "caption": "The twenty strongest country pairs by period (number of joint works).",195  "label": "tab:country_pairs",196  "sources": [197   "./results/bibliometrics/country_pairs_by_period.csv"198  ],199  "rows": 20200 },201 {202  "file": "tab_institution_concentration.tex",203  "caption": "Institutions with at least two hundred works per period: coverage and concentration (fractional counting).",204  "label": "tab:institution_concentration",205  "sources": [206   "./results/bibliometrics/top_institutions_by_period.csv"207  ],208  "rows": 3209 },210 {211  "file": "tab_top_institutions.tex",212  "caption": "The twenty-five institutions with the largest fractional output in the post period, with their baseline output.",213  "label": "tab:top_institutions",214  "sources": [215   "./results/bibliometrics/top_institutions_by_period.csv"216  ],217  "rows": 25218 },219 {220  "file": "tab_source_types.tex",221  "caption": "Distribution of works over source types among the listed sources, by period (per cent).",222  "label": "tab:source_types",223  "sources": [224   "./results/bibliometrics/top_sources_by_period.csv"225  ],226  "rows": 2227 },228 {229  "file": "tab_top_sources.tex",230  "caption": "The twenty largest sources (venues) by period, with OpenAlex source type.",231  "label": "tab:top_sources",232  "sources": [233   "./results/bibliometrics/top_sources_by_period.csv"234  ],235  "rows": 20236 },237 {238  "file": "tab_cited_age.tex",239  "caption": "Age of cited works by citing year (resolved references of eligible works; corpus version of the result file at generation time).",240  "label": "tab:cited_age",241  "sources": [242   "./results/graph/cited_age_yearly.csv"243  ],244  "rows": 9245 },246 {247  "file": "tab_top_cited.tex",248  "caption": "The ten most cited works of each publication year by 36-month window citations (c36), with total citations to date.",249  "label": "tab:top_cited",250  "sources": [251   "./results/bibliometrics/top_cited_by_year.csv"252  ],253  "rows": 80254 },255 {256  "file": "tab_dblp_only.tex",257  "caption": "DBLP records of 2018--2026 without an OpenAlex counterpart, by DBLP record type and year.",258  "label": "tab:dblp_only",259  "sources": [260   "./results/bibliometrics/dblp_only_yearly.csv"261  ],262  "rows": 9263 },264 {265  "file": "tab_indexing_lag.tex",266  "caption": "The OpenAlex \\texttt{created\\_date} relative to the publication date, by publication year.",267  "label": "tab:indexing_lag",268  "sources": [269   "./results/bibliometrics/indexing_lag.csv"270  ],271  "rows": 9272 },273 {274  "file": "tab_reference_coverage.tex",275  "caption": "Reference coverage by citing year: declared, resolved, internal and external references of eligible works.",276  "label": "tab:reference_coverage",277  "sources": [278   "./results/graph/reference_coverage_yearly.csv"279  ],280  "rows": 9281 },282 {283  "file": "tab_field_flows.tex",284  "caption": "Destination of the resolved references of eligible works by citing year: inside the corpus, computer science outside it, and the seven largest other OpenAlex fields (per cent of resolved references).",285  "label": "tab:field_flows",286  "sources": [287   "./results/graph/field_flows_yearly.csv"288  ],289  "rows": 9290 },291 {292  "file": "tab_security_counts.tex",293  "caption": "Eligible works in the five security-and-privacy categories by publication year: works carrying the category (all) and works whose primary category it is (prim.).",294  "label": "tab:security_counts",295  "sources": [296   "./results/graph/category_counts_yearly.csv"297  ],298  "rows": 9299 },300 {301  "file": "tab_security_summary.tex",302  "caption": "Growth and structural-change summary for the five security-and-privacy categories (multi-label counts).",303  "label": "tab:security_summary",304  "sources": [305   "./results/graph/category_counts_yearly.csv",306   "./results/econometrics/breaks.csv"307  ],308  "rows": 5309 },310 {311  "file": "tab_security_llm_cooccurrence.tex",312  "caption": "Co-classification of security-and-privacy works with the LLM, AI-safety and AI-agents categories, by publication year: number of works carrying both categories and share of the security category's works.",313  "label": "tab:security_llm_cooccurrence",314  "sources": [315   "./results/graph/category_cooccurrence_yearly.csv",316   "./results/graph/category_counts_yearly.csv"317  ],318  "rows": 9319 },320 {321  "file": "tab_security_landmarks.tex",322  "caption": "Composition of the automatically selected landmark set of the security-and-privacy area, by category.",323  "label": "tab:security_landmarks",324  "sources": [325   "./literature_synthesis/landmarks/security_privacy_landmarks.csv"326  ],327  "rows": 5328 },329 {330  "file": "tab_systems_categories.tex",331  "caption": "The systems and infrastructure categories of Part VI: primary-category output, compound annual growth, and structural-change estimates of the monthly log-volume series.",332  "label": "tab:systems_categories",333  "sources": [334   "./results/bibliometrics/cagr_by_category.csv",335   "./results/econometrics/breaks.csv"336  ],337  "rows": 11338 },339 {340  "file": "tab_p9_periods.tex",341  "caption": "The eligible corpus by protocol period: completeness, source membership and document type.",342  "label": "tab:p9-periods",343  "sources": [344   "./results/bibliometrics/volume_monthly.csv"345  ],346  "rows": 13347 },348 {349  "file": "tab_p9_classification.tex",350  "caption": "Classification coverage by publication year: eligible works, works with a primary category, and multi-label assignments.",351  "label": "tab:p9-classification",352  "sources": [353   "./results/graph/category_counts_yearly.csv",354   "./data/metadata/prisma_counts.json"355  ],356  "rows": 9357 },358 {359  "file": "tab_p9_area_shares.tex",360  "caption": "Share of primary-category assignments by top-level area and year (per cent), with the two protocol periods.",361  "label": "tab:p9-area-shares",362  "sources": [363   "./results/graph/category_counts_yearly.csv"364  ],365  "rows": 11366 },367 {368  "file": "tab_p9_category_periods.tex",369  "caption": "The forty categories by protocol period: primary-category output, composition shares, multi-label growth and compound annual growth rates.",370  "label": "tab:p9-category-periods",371  "sources": [372   "./results/graph/category_counts_yearly.csv",373   "./results/bibliometrics/cagr_by_category.csv"374  ],375  "rows": 40376 },377 {378  "file": "tab_p9_ai_shares.tex",379  "caption": "Share of primary-category assignments held by the AI and machine-learning categories in 2018, 2022 and 2025 (per cent, bootstrap 95\\% intervals).",380  "label": "tab:p9-ai-shares",381  "sources": [382   "./results/bibliometrics/category_share_ci_yearly.csv"383  ],384  "rows": 10385 },386 {387  "file": "tab_p9_its_total_events.tex",388  "caption": "Interrupted time series of the total monthly series at the reference date and at four alternative event dates (log counts, month-of-year dummies, Newey--West standard errors).",389  "label": "tab:p9-its-total-events",390  "sources": [391   "./results/econometrics/its_results.json"392  ],393  "rows": 5394 },395 {396  "file": "tab_p9_total_robustness.tex",397  "caption": "Robustness diagnostics of the structural-change analysis of the total monthly series.",398  "label": "tab:p9-total-robustness",399  "sources": [400   "./results/econometrics/its_results.json"401  ],402  "rows": 12403 },404 {405  "file": "tab_p9_its_slopes.tex",406  "caption": "ITS slope change at December 2022 by category: pre-period slope, change, HAC and placebo $p$-values, and implied post-period slope (monthly log growth).",407  "label": "tab:p9-its-slopes",408  "sources": [409   "./results/econometrics/its_results.json"410  ],411  "rows": 40412 },413 {414  "file": "tab_p9_its_levels.tex",415  "caption": "ITS level change at December 2022 by category: full-sample and donut estimates, HAC and placebo $p$-values, and the BOCPD change probability over December 2022 to March 2023.",416  "label": "tab:p9-its-levels",417  "sources": [418   "./results/econometrics/its_results.json"419  ],420  "rows": 40421 },422 {423  "file": "tab_p9_unknown_breaks.tex",424  "caption": "Data-driven break and changepoint dates by category, and whether any falls in the H3 window (October 2022 to June 2023).",425  "label": "tab:p9-unknown-breaks",426  "sources": [427   "./results/econometrics/its_results.json"428  ],429  "rows": 40430 },431 {432  "file": "tab_p9_altdates.tex",433  "caption": "ITS level change (HAC $p$) by category at the five pre-specified event dates.",434  "label": "tab:p9-altdates",435  "sources": [436   "./results/econometrics/its_results.json"437  ],438  "rows": 40439 },440 {441  "file": "tab_p9_h3.tex",442  "caption": "Hypothesis H3: break dates and ITS estimates for the eight categories named in the protocol.",443  "label": "tab:p9-h3",444  "sources": [445   "./results/econometrics/its_results.json"446  ],447  "rows": 8448 },449 {450  "file": "tab_p9_cross_area.tex",451  "caption": "Cross-area share of internal references by citing area and citing year (per cent), with the aggregate share and its composition-adjusted counterpart.",452  "label": "tab:p9-cross-area",453  "sources": [454   "./results/graph/cross_area_share_yearly.csv"455  ],456  "rows": 11457 },458 {459  "file": "tab_p9_modularity.tex",460  "caption": "Modularity of the yearly category citation-flow network at the category and area partitions, and the within-category self-share of citations.",461  "label": "tab:p9-modularity",462  "sources": [463   "./results/graph/modularity_yearly.csv"464  ],465  "rows": 9466 },467 {468  "file": "tab_p9_area_flow_change.tex",469  "caption": "Change in the area citation-flow matrix between 2018--2022 and 2023--2026: post-period row share minus baseline row share (percentage points).",470  "label": "tab:p9-area-flow-change",471  "sources": [472   "./results/graph/area_flows_yearly.csv"473  ],474  "rows": 8475 },476 {477  "file": "tab_p9_cooccurrence.tex",478  "caption": "The fifteen most frequent co-classification pairs (works carrying both categories in their label set), 2018--2022 and 2023--2026.",479  "label": "tab:p9-cooccurrence",480  "sources": [481   "./results/graph/category_cooccurrence_yearly.csv"482  ],483  "rows": 15484 },485 {486  "file": "tab_p9_llm_partners.tex",487  "caption": "Categories most often co-assigned with Large Language Models, by span.",488  "label": "tab:p9-llm-partners",489  "sources": [490   "./results/graph/category_cooccurrence_yearly.csv"491  ],492  "rows": 15493 },494 {495  "file": "tab_p9_openness.tex",496  "caption": "Openness and metadata indicators by publication year: arXiv linkage, preprint share, open access, abstract availability and document type (per cent of eligible works).",497  "label": "tab:p9-openness",498  "sources": [499   "./results/bibliometrics/volume_yearly.csv"500  ],501  "rows": 9502 },503 {504  "file": "tab_p9_landmarks.tex",505  "caption": "Composition of the landmark set by area and by publication year.",506  "label": "tab:p9-landmarks",507  "sources": [508   "./literature_synthesis/landmarks/selection_report.json"509  ],510  "rows": 17511 },512 {513  "file": "tab_p9_emerging_setup.tex",514  "caption": "Out-of-time evaluation design of the emerging-topic detector: cutoffs, panel sizes and positive rates.",515  "label": "tab:p9-emerging-setup",516  "sources": [517   "./results/emerging/metrics_h12.json",518   "./results/emerging/metrics_h24.json"519  ],520  "rows": 2521 },522 {523  "file": "tab_p9_emerging_cutoffs.tex",524  "caption": "AUC of the three detectors at each test cutoff, by horizon.",525  "label": "tab:p9-emerging-cutoffs",526  "sources": [527   "./results/emerging/metrics_h12.json",528   "./results/emerging/metrics_h24.json"529  ],530  "rows": 8531 }532]
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