{
 "P0": {
  "status": "passed",
  "checks": [
   "TASK.md read fully",
   "contract.md written"
  ],
  "notes": ""
 },
 "P1": {
  "status": "passed",
  "checks": [
   "SHA-256 match README for both csv",
   "row counts 127/381",
   "no duplicates, no date gaps",
   "quarterly recomputed from monthly: max diff 3.3e-7",
   "inflation recomputed: max diff 3.3e-6",
   "exclusion ledger written"
  ],
  "notes": "no availability violations in inputs; enforced in code"
 },
 "P2": {
  "status": "passed",
  "checks": [
   "seasonal-naive forecasts and RMSE/MAE computed with same evaluation rule (keys *_snaive_*)"
  ],
  "notes": "baseline computed inside analysis.py"
 },
 "P3": {
  "status": "passed",
  "checks": [
   "analysis.py reads only data/, writes results.json+forecasts.csv",
   "no randomness (random_seed null)"
  ],
  "notes": "direct seasonal-dummy AR, BIC p in 0..4; HAC Bartlett L=4"
 },
 "P4": {
  "status": "passed",
  "checks": [
   "clean re-run: identical SHA-256 of results.json and forecasts.csv",
   "16 consistency checks all PASS (see checks.md)"
  ],
  "notes": "DM lag sensitivity recorded"
 },
 "P5": {
  "status": "passed",
  "checks": [
   "report.md has 6 required sections with results keys cited",
   "claims.json valid JSON, 4 claims, all report claims covered",
   "numbers in report match results.json (rounded)"
  ],
  "notes": ""
 }
}