{"abstract":"The decoded time state disagrees with the explicit regression oracle for output.","category":"Time representation","checks":11,"contract":"A presentation clock preserves monotonic output while exposing raw wall coordinate and rollback debt. It advances a floor by monotonic elapsed since previous sample; publish max(raw wall,floor) if continuity mode enabled, otherwise raw wall. On explicit reset, discard old floor. Output adjusted coordinate, added bias, rollback marker, debt, source mode and next checkpoint. Negative elapsed invalidates sample.","contract_signature":"r","evaluation_group":"s3-time-wall_rollback_presentation","failed_approach":"The partial correction still substitutes min(r['wall'],floor) if r['continuous'] else r['wall'] at the same fault site.","family":"s3-time_representation-wall-rollback-presentation-output","id":"FA-18611","implementations":{"attempt":{"sha256":"810f65c39c461d1a00c8535322eeadf41c5b349332867fd8b89b9f7f4cb5993c","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(r):\n    elapsed = r['mono'] - r['last_mono']\n    valid = elapsed >= 0\n    floor = r['wall'] if r['reset'] else r['last_output'] + max(0,elapsed)\n    rollback = r['wall'] < floor\n    output = min(r['wall'],floor) if r['continuous'] else r['wall']\n    bias = output - r['wall']\n    debt = max(0,floor - r['wall'])\n    mode = 'floor' if r['continuous'] and rollback else 'wall'\n    checkpoint_output = output if valid else r['last_output']\n    checkpoint_mono = r['mono'] if valid else r['last_mono']\n    return [valid,output,bias,debt,mode,[checkpoint_output,checkpoint_mono],rollback]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncheck('fixture 1', solve({'mono': 20, 'last_mono': 10, 'wall': 105, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}), [True, 110, 5, 5, 'floor', [110, 20], True])\ncheck('fixture 2', solve({'mono': 20, 'last_mono': 10, 'wall': 120, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}), [True, 120, 0, 0, 'wall', [120, 20], False])\ncheck('fixture 3', solve({'mono': 20, 'last_mono': 10, 'wall': 105, 'last_output': 100, 'reset': False, 'continuous': False, 'last_bias': 2}), [True, 105, 0, 5, 'wall', [105, 20], True])\ncheck('fixture 4', solve({'mono': 20, 'last_mono': 10, 'wall': 90, 'last_output': 100, 'reset': True, 'continuous': True, 'last_bias': 2}), [True, 90, 0, 0, 'wall', [90, 20], False])\ncheck('fixture 5', solve({'mono': 10, 'last_mono': 10, 'wall': 100, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}), [True, 100, 0, 0, 'wall', [100, 10], False])\ncheck('fixture 6', solve({'mono': 9, 'last_mono': 10, 'wall': 101, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}), [False, 101, 0, 0, 'wall', [100, 10], False])\ncheck('fixture 7', solve({'mono': 20, 'last_mono': 10, 'wall': 110, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}), [True, 110, 0, 0, 'wall', [110, 20], False])\ncheck('fixture 8', solve({'mono': 20, 'last_mono': 10, 'wall': 90, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}), [True, 110, 20, 20, 'floor', [110, 20], True])\ncheck('fixture 9', solve({'mono': 30, 'last_mono': 10, 'wall': 105, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 5}), [True, 120, 15, 15, 'floor', [120, 30], True])\ncheck('fixture 10', solve({'mono': 10, 'last_mono': 10, 'wall': 120, 'last_output': 100, 'reset': False, 'continuous': False, 'last_bias': 0}), [True, 120, 0, 0, 'wall', [120, 10], False])\nvariant = [({'mono': 20, 'last_mono': 10, 'wall': 106, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}, [True, 110, 4, 4, 'floor', [110, 20], True]), ({'mono': 20, 'last_mono': 10, 'wall': 107, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}, [True, 110, 3, 3, 'floor', [110, 20], True]), ({'mono': 20, 'last_mono': 10, 'wall': 108, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}, [True, 110, 2, 2, 'floor', [110, 20], True]), ({'mono': 20, 'last_mono': 10, 'wall': 109, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}, [True, 110, 1, 1, 'floor', [110, 20], True]), ({'mono': 20, 'last_mono': 10, 'wall': 110, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}, [True, 110, 0, 0, 'wall', [110, 20], False])]\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":"e6dc8905344c442fa47d28f458f136c7347a3e58358c7ff36fb7e7bbf61d6332","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(r):\n    elapsed = r['mono'] - r['last_mono']\n    valid = elapsed >= 0\n    floor = r['wall'] if r['reset'] else r['last_output'] + max(0,elapsed)\n    rollback = r['wall'] < floor\n    output = max(r['wall'],floor)\n    bias = output - r['wall']\n    debt = max(0,floor - r['wall'])\n    mode = 'floor' if r['continuous'] and rollback else 'wall'\n    checkpoint_output = output if valid else r['last_output']\n    checkpoint_mono = r['mono'] if valid else r['last_mono']\n    return [valid,output,bias,debt,mode,[checkpoint_output,checkpoint_mono],rollback]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncheck('fixture 1', solve({'mono': 20, 'last_mono': 10, 'wall': 105, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}), [True, 110, 5, 5, 'floor', [110, 20], True])\ncheck('fixture 2', solve({'mono': 20, 'last_mono': 10, 'wall': 120, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}), [True, 120, 0, 0, 'wall', [120, 20], False])\ncheck('fixture 3', solve({'mono': 20, 'last_mono': 10, 'wall': 105, 'last_output': 100, 'reset': False, 'continuous': False, 'last_bias': 2}), [True, 105, 0, 5, 'wall', [105, 20], True])\ncheck('fixture 4', solve({'mono': 20, 'last_mono': 10, 'wall': 90, 'last_output': 100, 'reset': True, 'continuous': True, 'last_bias': 2}), [True, 90, 0, 0, 'wall', [90, 20], False])\ncheck('fixture 5', solve({'mono': 10, 'last_mono': 10, 'wall': 100, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}), [True, 100, 0, 0, 'wall', [100, 10], False])\ncheck('fixture 6', solve({'mono': 9, 'last_mono': 10, 'wall': 101, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}), [False, 101, 0, 0, 'wall', [100, 10], False])\ncheck('fixture 7', solve({'mono': 20, 'last_mono': 10, 'wall': 110, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}), [True, 110, 0, 0, 'wall', [110, 20], False])\ncheck('fixture 8', solve({'mono': 20, 'last_mono': 10, 'wall': 90, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}), [True, 110, 20, 20, 'floor', [110, 20], True])\ncheck('fixture 9', solve({'mono': 30, 'last_mono': 10, 'wall': 105, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 5}), [True, 120, 15, 15, 'floor', [120, 30], True])\ncheck('fixture 10', solve({'mono': 10, 'last_mono': 10, 'wall': 120, 'last_output': 100, 'reset': False, 'continuous': False, 'last_bias': 0}), [True, 120, 0, 0, 'wall', [120, 10], False])\nvariant = [({'mono': 20, 'last_mono': 10, 'wall': 106, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}, [True, 110, 4, 4, 'floor', [110, 20], True]), ({'mono': 20, 'last_mono': 10, 'wall': 107, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}, [True, 110, 3, 3, 'floor', [110, 20], True]), ({'mono': 20, 'last_mono': 10, 'wall': 108, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}, [True, 110, 2, 2, 'floor', [110, 20], True]), ({'mono': 20, 'last_mono': 10, 'wall': 109, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}, [True, 110, 1, 1, 'floor', [110, 20], True]), ({'mono': 20, 'last_mono': 10, 'wall': 110, 'last_output': 100, 'reset': False, 'continuous': True, 'last_bias': 2}, [True, 110, 0, 0, 'wall', [110, 20], False])]\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-wall-rollback-presentation-output","generated_at":"2026-09-29T14:39:59.623694+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":"Presentation continuity ignores raw mode or selects backward floor.","sha256":"043448aa58430eb0b1051a8aacdcfcb0138caa0fa2223dd5c28f3257adabfef8","title":"Presentation continuity ignores raw mode or selects backward floor · 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":46.622,"exit_code":1,"observations":[{"actual":[true,105,0,5,"floor",[105,20],true],"check":"fixture 1","expected":[true,110,5,5,"floor",[110,20],true],"passed":false},{"actual":[true,110,-10,0,"wall",[110,20],false],"check":"fixture 2","expected":[true,120,0,0,"wall",[120,20],false],"passed":false},{"actual":[true,105,0,5,"wall",[105,20],true],"check":"fixture 3","expected":[true,105,0,5,"wall",[105,20],true],"passed":true},{"actual":[true,90,0,0,"wall",[90,20],false],"check":"fixture 4","expected":[true,90,0,0,"wall",[90,20],false],"passed":true},{"actual":[true,100,0,0,"wall",[100,10],false],"check":"fixture 5","expected":[true,100,0,0,"wall",[100,10],false],"passed":true},{"actual":[false,100,-1,0,"wall",[100,10],false],"check":"fixture 6","expected":[false,101,0,0,"wall",[100,10],false],"passed":false},{"actual":[true,110,0,0,"wall",[110,20],false],"check":"fixture 7","expected":[true,110,0,0,"wall",[110,20],false],"passed":true},{"actual":[true,90,0,20,"floor",[90,20],true],"check":"fixture 8","expected":[true,110,20,20,"floor",[110,20],true],"passed":false},{"actual":[true,105,0,15,"floor",[105,30],true],"check":"fixture 9","expected":[true,120,15,15,"floor",[120,30],true],"passed":false},{"actual":[true,120,0,0,"wall",[120,10],false],"check":"fixture 10","expected":[true,120,0,0,"wall",[120,10],false],"passed":true},{"actual":[true,106,0,4,"floor",[106,20],true],"check":"variant capture","expected":[true,110,4,4,"floor",[110,20],true],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"fixture 1\", \"actual\": [true, 105, 0, 5, \"floor\", [105, 20], true], \"expected\": [true, 110, 5, 5, \"floor\", [110, 20], true], \"passed\": false}, {\"check\": \"fixture 2\", \"actual\": [true, 110, -10, 0, \"wall\", [110, 20], false], \"expected\": [true, 120, 0, 0, \"wall\", [120, 20], false], \"passed\": false}, {\"check\": \"fixture 3\", \"actual\": [true, 105, 0, 5, \"wall\", [105, 20], true], \"expected\": [true, 105, 0, 5, \"wall\", [105, 20], true], \"passed\": true}, {\"check\": \"fixture 4\", \"actual\": [true, 90, 0, 0, \"wall\", [90, 20], false], \"expected\": [true, 90, 0, 0, \"wall\", [90, 20], false], \"passed\": true}, {\"check\": \"fixture 5\", \"actual\": [true, 100, 0, 0, \"wall\", [100, 10], false], \"expected\": [true, 100, 0, 0, \"wall\", [100, 10], false], \"passed\": true}, {\"check\": \"fixture 6\", \"actual\": [false, 100, -1, 0, \"wall\", [100, 10], false], \"expected\": [false, 101, 0, 0, \"wall\", [100, 10], false], \"passed\": false}, {\"check\": \"fixture 7\", \"actual\": [true, 110, 0, 0, \"wall\", [110, 20], false], \"expected\": [true, 110, 0, 0, \"wall\", [110, 20], false], \"passed\": true}, {\"check\": \"fixture 8\", \"actual\": [true, 90, 0, 20, \"floor\", [90, 20], true], \"expected\": [true, 110, 20, 20, \"floor\", [110, 20], true], \"passed\": false}, {\"check\": \"fixture 9\", \"actual\": [true, 105, 0, 15, \"floor\", [105, 30], true], \"expected\": [true, 120, 15, 15, \"floor\", [120, 30], true], \"passed\": false}, {\"check\": \"fixture 10\", \"actual\": [true, 120, 0, 0, \"wall\", [120, 10], false], \"expected\": [true, 120, 0, 0, \"wall\", [120, 10], false], \"passed\": true}, {\"check\": \"variant capture\", \"actual\": [true, 106, 0, 4, \"floor\", [106, 20], true], \"expected\": [true, 110, 4, 4, \"floor\", [110, 20], true], \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":44.755,"exit_code":1,"observations":[{"actual":[true,110,5,5,"floor",[110,20],true],"check":"fixture 1","expected":[true,110,5,5,"floor",[110,20],true],"passed":true},{"actual":[true,120,0,0,"wall",[120,20],false],"check":"fixture 2","expected":[true,120,0,0,"wall",[120,20],false],"passed":true},{"actual":[true,110,5,5,"wall",[110,20],true],"check":"fixture 3","expected":[true,105,0,5,"wall",[105,20],true],"passed":false},{"actual":[true,90,0,0,"wall",[90,20],false],"check":"fixture 4","expected":[true,90,0,0,"wall",[90,20],false],"passed":true},{"actual":[true,100,0,0,"wall",[100,10],false],"check":"fixture 5","expected":[true,100,0,0,"wall",[100,10],false],"passed":true},{"actual":[false,101,0,0,"wall",[100,10],false],"check":"fixture 6","expected":[false,101,0,0,"wall",[100,10],false],"passed":true},{"actual":[true,110,0,0,"wall",[110,20],false],"check":"fixture 7","expected":[true,110,0,0,"wall",[110,20],false],"passed":true},{"actual":[true,110,20,20,"floor",[110,20],true],"check":"fixture 8","expected":[true,110,20,20,"floor",[110,20],true],"passed":true},{"actual":[true,120,15,15,"floor",[120,30],true],"check":"fixture 9","expected":[true,120,15,15,"floor",[120,30],true],"passed":true},{"actual":[true,120,0,0,"wall",[120,10],false],"check":"fixture 10","expected":[true,120,0,0,"wall",[120,10],false],"passed":true},{"actual":[true,110,4,4,"floor",[110,20],true],"check":"variant capture","expected":[true,110,4,4,"floor",[110,20],true],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"fixture 1\", \"actual\": [true, 110, 5, 5, \"floor\", [110, 20], true], \"expected\": [true, 110, 5, 5, \"floor\", [110, 20], true], \"passed\": true}, {\"check\": \"fixture 2\", \"actual\": [true, 120, 0, 0, \"wall\", [120, 20], false], \"expected\": [true, 120, 0, 0, \"wall\", [120, 20], false], \"passed\": true}, {\"check\": \"fixture 3\", \"actual\": [true, 110, 5, 5, \"wall\", [110, 20], true], \"expected\": [true, 105, 0, 5, \"wall\", [105, 20], true], \"passed\": false}, {\"check\": \"fixture 4\", \"actual\": [true, 90, 0, 0, \"wall\", [90, 20], false], \"expected\": [true, 90, 0, 0, \"wall\", [90, 20], false], \"passed\": true}, {\"check\": \"fixture 5\", \"actual\": [true, 100, 0, 0, \"wall\", [100, 10], false], \"expected\": [true, 100, 0, 0, \"wall\", [100, 10], false], \"passed\": true}, {\"check\": \"fixture 6\", \"actual\": [false, 101, 0, 0, \"wall\", [100, 10], false], \"expected\": [false, 101, 0, 0, \"wall\", [100, 10], false], \"passed\": true}, {\"check\": \"fixture 7\", \"actual\": [true, 110, 0, 0, \"wall\", [110, 20], false], \"expected\": [true, 110, 0, 0, \"wall\", [110, 20], false], \"passed\": true}, {\"check\": \"fixture 8\", \"actual\": [true, 110, 20, 20, \"floor\", [110, 20], true], \"expected\": [true, 110, 20, 20, \"floor\", [110, 20], true], \"passed\": true}, {\"check\": \"fixture 9\", \"actual\": [true, 120, 15, 15, \"floor\", [120, 30], true], \"expected\": [true, 120, 15, 15, \"floor\", [120, 30], true], \"passed\": true}, {\"check\": \"fixture 10\", \"actual\": [true, 120, 0, 0, \"wall\", [120, 10], false], \"expected\": [true, 120, 0, 0, \"wall\", [120, 10], false], \"passed\": true}, {\"check\": \"variant capture\", \"actual\": [true, 110, 4, 4, \"floor\", [110, 20], true], \"expected\": [true, 110, 4, 4, \"floor\", [110, 20], true], \"passed\": true}], \"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."}}