{"abstract":"The decoded time state disagrees with the explicit regression oracle for absolute_wake.","category":"Time representation","checks":11,"contract":"A deadline in source clock D maps to target clock with uncertain target-minus-source offset [lo,hi]. Use earliest target deadline for no-late policy, latest for no-early. Account for known transport time in target units and clamp remaining budget at zero. Relative waits are capped by platform maximum and flag rearming. Return target bounds, chosen deadline, wait, rearm and expired status.","contract_signature":"r","evaluation_group":"s3-time-deadline_uncertainty_transfer","failed_approach":"The partial correction still substitutes chosen at the same fault site.","family":"s3-time_representation-deadline-uncertainty-transfer-absolute-wake","id":"FA-18581","implementations":{"attempt":{"sha256":"60be13c40af780f8080c6c3098a1da33b7767190a20c8581e2d322cbc437174a","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(r):\n    low = r['deadline'] + r['offset_low']\n    high = r['deadline'] + r['offset_high']\n    chosen = low if r['policy'] == 'no-late' else high\n    arrival = r['target_now'] + r['transport']\n    remaining = max(0,chosen - arrival)\n    wait = min(remaining,r['max_wait'])\n    rearm = remaining > r['max_wait']\n    expired = chosen <= arrival\n    absolute_wake = chosen\n    slack = high - low\n    return [[low,high],chosen,wait,rearm,expired,absolute_wake,slack]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncheck('fixture 1', solve({'deadline': 20, 'offset_low': 2, 'offset_high': 5, 'policy': 'no-late', 'target_now': 10, 'transport': 2, 'max_wait': 100}), [[22, 25], 22, 10, False, False, 22, 3])\ncheck('fixture 2', solve({'deadline': 20, 'offset_low': 2, 'offset_high': 5, 'policy': 'no-early', 'target_now': 10, 'transport': 2, 'max_wait': 100}), [[22, 25], 25, 13, False, False, 25, 3])\ncheck('fixture 3', solve({'deadline': 20, 'offset_low': -5, 'offset_high': -2, 'policy': 'no-late', 'target_now': 15, 'transport': 0, 'max_wait': 20}), [[15, 18], 15, 0, False, True, 15, 3])\ncheck('fixture 4', solve({'deadline': 20, 'offset_low': -5, 'offset_high': -2, 'policy': 'no-early', 'target_now': 20, 'transport': 1, 'max_wait': 20}), [[15, 18], 18, 0, False, True, 21, 3])\ncheck('fixture 5', solve({'deadline': 100, 'offset_low': 0, 'offset_high': 0, 'policy': 'no-late', 'target_now': 0, 'transport': 0, 'max_wait': 10}), [[100, 100], 100, 10, True, False, 10, 0])\ncheck('fixture 6', solve({'deadline': 20, 'offset_low': 0, 'offset_high': 0, 'policy': 'no-late', 'target_now': 10, 'transport': 0, 'max_wait': 10}), [[20, 20], 20, 10, False, False, 20, 0])\ncheck('fixture 7', solve({'deadline': 0, 'offset_low': 0, 'offset_high': 0, 'policy': 'no-late', 'target_now': 0, 'transport': 0, 'max_wait': 1}), [[0, 0], 0, 0, False, True, 0, 0])\ncheck('fixture 8', solve({'deadline': -10, 'offset_low': 2, 'offset_high': 5, 'policy': 'no-early', 'target_now': -20, 'transport': 2, 'max_wait': 4}), [[-8, -5], -5, 4, True, False, -14, 3])\ncheck('fixture 9', solve({'deadline': 20, 'offset_low': 0, 'offset_high': 0, 'policy': 'no-early', 'target_now': 19, 'transport': 0, 'max_wait': 2}), [[20, 20], 20, 1, False, False, 20, 0])\ncheck('fixture 10', solve({'deadline': 10, 'offset_low': 2, 'offset_high': 8, 'policy': 'no-late', 'target_now': 10, 'transport': 4, 'max_wait': 10}), [[12, 18], 12, 0, False, True, 14, 6])\nvariant = [({'deadline': 21, 'offset_low': 2, 'offset_high': 5, 'policy': 'no-late', 'target_now': 10, 'transport': 2, 'max_wait': 100}, [[23, 26], 23, 11, False, False, 23, 3]), ({'deadline': 22, 'offset_low': 2, 'offset_high': 5, 'policy': 'no-late', 'target_now': 10, 'transport': 2, 'max_wait': 100}, [[24, 27], 24, 12, False, False, 24, 3]), ({'deadline': 23, 'offset_low': 2, 'offset_high': 5, 'policy': 'no-late', 'target_now': 10, 'transport': 2, 'max_wait': 100}, [[25, 28], 25, 13, False, False, 25, 3]), ({'deadline': 24, 'offset_low': 2, 'offset_high': 5, 'policy': 'no-late', 'target_now': 10, 'transport': 2, 'max_wait': 100}, [[26, 29], 26, 14, False, False, 26, 3]), ({'deadline': 25, 'offset_low': 2, 'offset_high': 5, 'policy': 'no-late', 'target_now': 10, 'transport': 2, 'max_wait': 100}, [[27, 30], 27, 15, False, False, 27, 3])]\ncheck(\"variant capture\", solve(variant[N-1][0]), variant[N-1][1])\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"},"broken":{"sha256":"315e087e79038fbea2c0507704e59e05d0456fb7f5896dbb3dd53ff4dae75950","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(r):\n    low = r['deadline'] + r['offset_low']\n    high = r['deadline'] + r['offset_high']\n    chosen = low if r['policy'] == 'no-late' else high\n    arrival = r['target_now'] + r['transport']\n    remaining = max(0,chosen - arrival)\n    wait = min(remaining,r['max_wait'])\n    rearm = remaining > r['max_wait']\n    expired = chosen <= arrival\n    absolute_wake = r['target_now'] + wait\n    slack = high - low\n    return [[low,high],chosen,wait,rearm,expired,absolute_wake,slack]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncheck('fixture 1', solve({'deadline': 20, 'offset_low': 2, 'offset_high': 5, 'policy': 'no-late', 'target_now': 10, 'transport': 2, 'max_wait': 100}), [[22, 25], 22, 10, False, False, 22, 3])\ncheck('fixture 2', solve({'deadline': 20, 'offset_low': 2, 'offset_high': 5, 'policy': 'no-early', 'target_now': 10, 'transport': 2, 'max_wait': 100}), [[22, 25], 25, 13, False, False, 25, 3])\ncheck('fixture 3', solve({'deadline': 20, 'offset_low': -5, 'offset_high': -2, 'policy': 'no-late', 'target_now': 15, 'transport': 0, 'max_wait': 20}), [[15, 18], 15, 0, False, True, 15, 3])\ncheck('fixture 4', solve({'deadline': 20, 'offset_low': -5, 'offset_high': -2, 'policy': 'no-early', 'target_now': 20, 'transport': 1, 'max_wait': 20}), [[15, 18], 18, 0, False, True, 21, 3])\ncheck('fixture 5', solve({'deadline': 100, 'offset_low': 0, 'offset_high': 0, 'policy': 'no-late', 'target_now': 0, 'transport': 0, 'max_wait': 10}), [[100, 100], 100, 10, True, False, 10, 0])\ncheck('fixture 6', solve({'deadline': 20, 'offset_low': 0, 'offset_high': 0, 'policy': 'no-late', 'target_now': 10, 'transport': 0, 'max_wait': 10}), [[20, 20], 20, 10, False, False, 20, 0])\ncheck('fixture 7', solve({'deadline': 0, 'offset_low': 0, 'offset_high': 0, 'policy': 'no-late', 'target_now': 0, 'transport': 0, 'max_wait': 1}), [[0, 0], 0, 0, False, True, 0, 0])\ncheck('fixture 8', solve({'deadline': -10, 'offset_low': 2, 'offset_high': 5, 'policy': 'no-early', 'target_now': -20, 'transport': 2, 'max_wait': 4}), [[-8, -5], -5, 4, True, False, -14, 3])\ncheck('fixture 9', solve({'deadline': 20, 'offset_low': 0, 'offset_high': 0, 'policy': 'no-early', 'target_now': 19, 'transport': 0, 'max_wait': 2}), [[20, 20], 20, 1, False, False, 20, 0])\ncheck('fixture 10', solve({'deadline': 10, 'offset_low': 2, 'offset_high': 8, 'policy': 'no-late', 'target_now': 10, 'transport': 4, 'max_wait': 10}), [[12, 18], 12, 0, False, True, 14, 6])\nvariant = [({'deadline': 21, 'offset_low': 2, 'offset_high': 5, 'policy': 'no-late', 'target_now': 10, 'transport': 2, 'max_wait': 100}, [[23, 26], 23, 11, False, False, 23, 3]), ({'deadline': 22, 'offset_low': 2, 'offset_high': 5, 'policy': 'no-late', 'target_now': 10, 'transport': 2, 'max_wait': 100}, [[24, 27], 24, 12, False, False, 24, 3]), ({'deadline': 23, 'offset_low': 2, 'offset_high': 5, 'policy': 'no-late', 'target_now': 10, 'transport': 2, 'max_wait': 100}, [[25, 28], 25, 13, False, False, 25, 3]), ({'deadline': 24, 'offset_low': 2, 'offset_high': 5, 'policy': 'no-late', 'target_now': 10, 'transport': 2, 'max_wait': 100}, [[26, 29], 26, 14, False, False, 26, 3]), ({'deadline': 25, 'offset_low': 2, 'offset_high': 5, 'policy': 'no-late', 'target_now': 10, 'transport': 2, 'max_wait': 100}, [[27, 30], 27, 15, False, False, 27, 3])]\ncheck(\"variant capture\", solve(variant[N-1][0]), variant[N-1][1])\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"}},"limitations":"Deterministic integer reference model with stipulated units and policies; not a complete clock, wire standard or platform implementation. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.","method":"Deterministic executable model with adversarial boundary fixtures.","provenance":{"created_by":"Failure Map","dependencies":"Python standard library","family":"s3-time_representation-deadline-uncertainty-transfer-absolute-wake","generated_at":"2026-09-29T14:39:59.035494+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Clock transfer and timestamp consumers require preserved coordinate, phase, validity and elapsed-time semantics.","root_cause":"Actual wake instant ignores transport or capped intermediate rearm.","sha256":"4144b9a02f919ec39cfa908062b6a1a7dd039a182e7d96a3b5adc8e8b9ee3810","title":"Actual wake instant ignores transport or capped intermediate rearm · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verified":true,"visibility":"public","verification":{"attempt":{"elapsed_ms":45.304,"exit_code":1,"observations":[{"actual":[[22,25],22,10,false,false,22,3],"check":"fixture 1","expected":[[22,25],22,10,false,false,22,3],"passed":true},{"actual":[[22,25],25,13,false,false,25,3],"check":"fixture 2","expected":[[22,25],25,13,false,false,25,3],"passed":true},{"actual":[[15,18],15,0,false,true,15,3],"check":"fixture 3","expected":[[15,18],15,0,false,true,15,3],"passed":true},{"actual":[[15,18],18,0,false,true,18,3],"check":"fixture 4","expected":[[15,18],18,0,false,true,21,3],"passed":false},{"actual":[[100,100],100,10,true,false,100,0],"check":"fixture 5","expected":[[100,100],100,10,true,false,10,0],"passed":false},{"actual":[[20,20],20,10,false,false,20,0],"check":"fixture 6","expected":[[20,20],20,10,false,false,20,0],"passed":true},{"actual":[[0,0],0,0,false,true,0,0],"check":"fixture 7","expected":[[0,0],0,0,false,true,0,0],"passed":true},{"actual":[[-8,-5],-5,4,true,false,-5,3],"check":"fixture 8","expected":[[-8,-5],-5,4,true,false,-14,3],"passed":false},{"actual":[[20,20],20,1,false,false,20,0],"check":"fixture 9","expected":[[20,20],20,1,false,false,20,0],"passed":true},{"actual":[[12,18],12,0,false,true,12,6],"check":"fixture 10","expected":[[12,18],12,0,false,true,14,6],"passed":false},{"actual":[[23,26],23,11,false,false,23,3],"check":"variant capture","expected":[[23,26],23,11,false,false,23,3],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"fixture 1\", \"actual\": [[22, 25], 22, 10, false, false, 22, 3], \"expected\": [[22, 25], 22, 10, false, false, 22, 3], \"passed\": true}, {\"check\": \"fixture 2\", \"actual\": [[22, 25], 25, 13, false, false, 25, 3], \"expected\": [[22, 25], 25, 13, false, false, 25, 3], \"passed\": true}, {\"check\": \"fixture 3\", \"actual\": [[15, 18], 15, 0, false, true, 15, 3], \"expected\": [[15, 18], 15, 0, false, true, 15, 3], \"passed\": true}, {\"check\": \"fixture 4\", \"actual\": [[15, 18], 18, 0, false, true, 18, 3], \"expected\": [[15, 18], 18, 0, false, true, 21, 3], \"passed\": false}, {\"check\": \"fixture 5\", \"actual\": [[100, 100], 100, 10, true, false, 100, 0], \"expected\": [[100, 100], 100, 10, true, false, 10, 0], \"passed\": false}, {\"check\": \"fixture 6\", \"actual\": [[20, 20], 20, 10, false, false, 20, 0], \"expected\": [[20, 20], 20, 10, false, false, 20, 0], \"passed\": true}, {\"check\": \"fixture 7\", \"actual\": [[0, 0], 0, 0, false, true, 0, 0], \"expected\": [[0, 0], 0, 0, false, true, 0, 0], \"passed\": true}, {\"check\": \"fixture 8\", \"actual\": [[-8, -5], -5, 4, true, false, -5, 3], \"expected\": [[-8, -5], -5, 4, true, false, -14, 3], \"passed\": false}, {\"check\": \"fixture 9\", \"actual\": [[20, 20], 20, 1, false, false, 20, 0], \"expected\": [[20, 20], 20, 1, false, false, 20, 0], \"passed\": true}, {\"check\": \"fixture 10\", \"actual\": [[12, 18], 12, 0, false, true, 12, 6], \"expected\": [[12, 18], 12, 0, false, true, 14, 6], \"passed\": false}, {\"check\": \"variant capture\", \"actual\": [[23, 26], 23, 11, false, false, 23, 3], \"expected\": [[23, 26], 23, 11, false, false, 23, 3], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":43.724,"exit_code":1,"observations":[{"actual":[[22,25],22,10,false,false,20,3],"check":"fixture 1","expected":[[22,25],22,10,false,false,22,3],"passed":false},{"actual":[[22,25],25,13,false,false,23,3],"check":"fixture 2","expected":[[22,25],25,13,false,false,25,3],"passed":false},{"actual":[[15,18],15,0,false,true,15,3],"check":"fixture 3","expected":[[15,18],15,0,false,true,15,3],"passed":true},{"actual":[[15,18],18,0,false,true,20,3],"check":"fixture 4","expected":[[15,18],18,0,false,true,21,3],"passed":false},{"actual":[[100,100],100,10,true,false,10,0],"check":"fixture 5","expected":[[100,100],100,10,true,false,10,0],"passed":true},{"actual":[[20,20],20,10,false,false,20,0],"check":"fixture 6","expected":[[20,20],20,10,false,false,20,0],"passed":true},{"actual":[[0,0],0,0,false,true,0,0],"check":"fixture 7","expected":[[0,0],0,0,false,true,0,0],"passed":true},{"actual":[[-8,-5],-5,4,true,false,-16,3],"check":"fixture 8","expected":[[-8,-5],-5,4,true,false,-14,3],"passed":false},{"actual":[[20,20],20,1,false,false,20,0],"check":"fixture 9","expected":[[20,20],20,1,false,false,20,0],"passed":true},{"actual":[[12,18],12,0,false,true,10,6],"check":"fixture 10","expected":[[12,18],12,0,false,true,14,6],"passed":false},{"actual":[[23,26],23,11,false,false,21,3],"check":"variant capture","expected":[[23,26],23,11,false,false,23,3],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"fixture 1\", \"actual\": [[22, 25], 22, 10, false, false, 20, 3], \"expected\": [[22, 25], 22, 10, false, false, 22, 3], \"passed\": false}, {\"check\": \"fixture 2\", \"actual\": [[22, 25], 25, 13, false, false, 23, 3], \"expected\": [[22, 25], 25, 13, false, false, 25, 3], \"passed\": false}, {\"check\": \"fixture 3\", \"actual\": [[15, 18], 15, 0, false, true, 15, 3], \"expected\": [[15, 18], 15, 0, false, true, 15, 3], \"passed\": true}, {\"check\": \"fixture 4\", \"actual\": [[15, 18], 18, 0, false, true, 20, 3], \"expected\": [[15, 18], 18, 0, false, true, 21, 3], \"passed\": false}, {\"check\": \"fixture 5\", \"actual\": [[100, 100], 100, 10, true, false, 10, 0], \"expected\": [[100, 100], 100, 10, true, false, 10, 0], \"passed\": true}, {\"check\": \"fixture 6\", \"actual\": [[20, 20], 20, 10, false, false, 20, 0], \"expected\": [[20, 20], 20, 10, false, false, 20, 0], \"passed\": true}, {\"check\": \"fixture 7\", \"actual\": [[0, 0], 0, 0, false, true, 0, 0], \"expected\": [[0, 0], 0, 0, false, true, 0, 0], \"passed\": true}, {\"check\": \"fixture 8\", \"actual\": [[-8, -5], -5, 4, true, false, -16, 3], \"expected\": [[-8, -5], -5, 4, true, false, -14, 3], \"passed\": false}, {\"check\": \"fixture 9\", \"actual\": [[20, 20], 20, 1, false, false, 20, 0], \"expected\": [[20, 20], 20, 1, false, false, 20, 0], \"passed\": true}, {\"check\": \"fixture 10\", \"actual\": [[12, 18], 12, 0, false, true, 10, 6], \"expected\": [[12, 18], 12, 0, false, true, 14, 6], \"passed\": false}, {\"check\": \"variant capture\", \"actual\": [[23, 26], 23, 11, false, false, 21, 3], \"expected\": [[23, 26], 23, 11, false, false, 23, 3], \"passed\": false}], \"passed\": false}\n"}},"member_only":{"stages":["fixed"],"fields":["implementations.fixed","verification.fixed","harness","repair"],"note":"The verified repair, its recorded checks, the repair description, and the scoring harness are available to members."}}