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                  "outputHashesMatch": true,
                  "thumbnailPixelsMatch": true,
                  "images": [
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                      "backupFile": "backup/sample-001.bmp",
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              ],
              "failure": null
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          ]
        }
      ],
      "additionalModelBaselines": {
        "efficiency": {
          "method": "efficiency",
          "taskIds": [
            "C"
          ],
          "expectedValue": 5,
          "expectedCostUnits": 4,
          "modeledFinishTicks": 4,
          "feasibleGuarantee": true,
          "steps": [
            {
              "taskId": "C",
              "startTick": 0,
              "endTick": 4,
              "costUnits": 4,
              "value": 5
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          ],
          "skipped": [
            {
              "taskId": "B",
              "reason": "synthetic-budget"
            },
            {
              "taskId": "A",
              "reason": "synthetic-budget"
            }
          ],
          "scope": "model-only, not executed; no actual file-processing or performance claim"
        }
      }
    }
  ],
  "claims": {
    "actual": [
      "Selected task IDs determine which fixed candidate source slices are actually backed up, thumbnailed and hash/pixel verified.",
      "All three executed methods use the same fixed quality, per-image checkpoint, source binding and per-scenario reserve.",
      "Valid committed images are retained in a separately verified per-batch resume test."
    ],
    "modeled": [
      "Budget and reserve are synthetic accounting units; deadlines are synthetic ticks. Values are predefined illustrative preferences, not observed human behavior or money.",
      "The old optimizer uses one quality=1 mode. Legacy Wh/min/W property names are internal mathematical coordinates only."
    ],
    "notTested": [
      "Real battery or sodium hardware, physical power-loss, AI inference, Wh savings, observed deadline benefits, independent device operation or statistically independent user trials.",
      "A crash-safe controller that automatically resumes the entire multi-batch scheduling run is not implemented; tested recovery is for an externally bound worker batch."
    ],
    "baselineBoundary": "The heterogeneous favorable example ties the model-only efficiency greedy; results are not evidence of superiority over mature scheduling or the strongest available heuristic."
  },
  "summary": {
    "scenarioCount": 6,
    "executedMethods": 3,
    "deterministicRepetitions": 3,
    "strategyRuns": 54,
    "reserveFeasibleScenarios": 5,
    "reserveInfeasibleScenarios": 1,
    "exactBetterThanImportance": 2,
    "exactTiedImportance": 3,
    "totalActualProcessedImages": 402,
    "interpretation": "Six preselected deterministic diagnostic scenarios; counts are not an estimated real-world improvement distribution. Default shows importance rule tying exact optimization."
  },
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    "schema": "naguard.scheduling-verification.v1",
    "verifiedAt": "2026-10-15T08:22:23.594Z",
    "passed": 8,
    "failed": 0,
    "records": [
      {
        "name": "fixed 20-image input pool is unique; each task binds non-overlapping predeclared source hashes",
        "passed": true,
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          "scenarios": 6
        }
      },
      {
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            "independentValue": 9,
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            "allOrderNodes": 3
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        ]
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      {
        "name": "all executed batches map to fixed task inputs; independent hashes and every thumbnail pixel agree",
        "passed": true,
        "details": {
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          "images": 402,
          "independentPixelChecks": 385920
        }
      },
      {
        "name": "three deterministic repetitions reproduce selected batches, values and file hashes without statistical-independence claim",
        "passed": true,
        "details": {
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          "repetitionsPerCondition": 3,
          "independentlySampledUsers": 0
        }
      },
      {
        "name": "predeclared favorable, tie, insufficient and exact/below-boundary outcomes hold",
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            [
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          "favorableEfficiencyModelAlsoScores": 14
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      },
      {
        "name": "bound batch pauses after one image; replenishment resumes without repeating committed output",
        "passed": true,
        "details": {
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          "pausedImages": 1,
          "finalImages": 3,
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          "repeatedCommittedImages": 0,
          "completedRerunAddedAttempts": 0,
          "events": [
            {
              "time": "2026-10-15T08:22:23.251Z",
              "pid": 14952,
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              "totalItems": 3,
              "initialBudget": 3,
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              "strategyId": "verification-only",
              "taskId": "A",
              "message": "批次A：created"
            },
            {
              "time": "2026-10-15T08:22:23.286Z",
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              "time": "2026-10-15T08:22:23.310Z",
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            },
            {
              "time": "2026-10-15T08:22:23.319Z",
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            },
            {
              "time": "2026-10-15T08:22:23.344Z",
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            {
              "time": "2026-10-15T08:22:23.428Z",
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          ]
        }
      },
      {
        "name": "source plus mutable worker job.json tampering is rejected against external frozen task binding before new attempts",
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      },
      {
        "name": "changed ordered plan binding, negative budget and invalid fixed quality are rejected before processing",
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          "changedPlanRejected": true,
          "negativeBudgetRejected": true,
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    ],
    "taskJobs": [
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        "jobPath": "work/workpod/jobs/job-1792052543233-f13b520535",
        "purpose": "bound-recovery-verification",
        "images": [
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            "backupFile": "backup/sample-001.bmp",
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          {
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            "inputFile": "source/sample-003.bmp",
            "backupFile": "backup/sample-003.bmp",
            "thumbnailFile": "thumbnails/sample-003.bmp",
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      {
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        "jobPath": "work/workpod/jobs/job-1792052543506-dbf0178f6c",
        "purpose": "deliberately-mutated-own-test-input; rejected",
        "images": []
      },
      {
        "jobId": "job-1792052543558-ee6eb66505",
        "jobPath": "work/workpod/jobs/job-1792052543558-ee6eb66505",
        "purpose": "changed-plan-rejection-verification",
        "images": []
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    ],
    "scope": "Actual same-quality file processing plus independent finite-model and fail-closed checks. No real-energy, real-AI, physical-blackout or whole-schedule crash-recovery validation."
  }
}
