{"abstract":"Retransmission artificially increases measurement information.","category":"Sensor fusion consistency","checks":6,"contract":"Sum inverse variances once per (sensor, sequence), returning a reduced fraction string. Repeated identities have equal positive variance.","evaluation_group":"model-59c161d6071224ee","failed_approach":"Deduplicating sequence alone drops distinct sensors with equal sequence numbers.","family":"z-sensor_fusion-packet-identity","id":"FA-12051","implementations":{"attempt":{"sha256":"aaa62ae6fcb61a75583e86d3865270c87ae59220d39f7ff53c518491a7fa361c","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(records):\n    seen = set(); total = Fraction()\n    for s,q,v in records:\n        if q not in seen: total += Fraction(1,v); seen.add(q)\n    return str(total)\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncheck('retransmission', solve([('a',N,2),('a',N,2)]), '1/2')\ncheck('two sensors same sequence', solve([('a',N,2),('b',N,2)]), '1')\ncheck('successive samples', solve([('a',N,2),('a',N+1,2)]), '1')\ncheck('mixed duplicates', solve([('a',N,4),('b',N,4),('a',N,4)]), '1/2')\ncheck('one packet', solve([('a',N,3)]), '1/3')\ncheck('no packet', solve([]), '0')\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":"dbdb9b270c5c01f14816e19c3fd9ce5746c7f229b661edc62975f480e1d8fe6f","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(records):\n    return str(sum((Fraction(1,v) for s,q,v in records),Fraction()))\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncheck('retransmission', solve([('a',N,2),('a',N,2)]), '1/2')\ncheck('two sensors same sequence', solve([('a',N,2),('b',N,2)]), '1')\ncheck('successive samples', solve([('a',N,2),('a',N+1,2)]), '1')\ncheck('mixed duplicates', solve([('a',N,4),('b',N,4),('a',N,4)]), '1/2')\ncheck('one packet', solve([('a',N,3)]), '1/3')\ncheck('no packet', solve([]), '0')\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"},"fixed":{"sha256":"0699206efbda23f5c377cef4adee66ba3a81c73fb10e2616077294fc8a8df035","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(records):\n    seen = set(); total = Fraction()\n    for s,q,v in records:\n        if (s,q) not in seen: total += Fraction(1,v); seen.add((s,q))\n    return str(total)\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncheck('retransmission', solve([('a',N,2),('a',N,2)]), '1/2')\ncheck('two sensors same sequence', solve([('a',N,2),('b',N,2)]), '1')\ncheck('successive samples', solve([('a',N,2),('a',N+1,2)]), '1')\ncheck('mixed duplicates', solve([('a',N,4),('b',N,4),('a',N,4)]), '1/2')\ncheck('one packet', solve([('a',N,3)]), '1/3')\ncheck('no packet', solve([]), '0')\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":"Exact small scalar or two-axis models; no nonlinear dynamics, numerical conditioning, or real sensor noise simulation. 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":"z-sensor_fusion-packet-identity","generated_at":"2026-09-29T14:38:53.415381+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Deterministic sensor-fusion model isolating one consistency contract; no hardware or production estimator is simulated.","repair":"Deduplicate by sensor identity and acquisition sequence.","root_cause":"Every transport delivery contributes inverse variance.","sha256":"6d08b2b3e577958810c7e9a2d712abe003cfbb01b62e1ac705ea72c99894cb6a","title":"Repeated sensor packet is counted as independent evidence · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":45.208,"exit_code":1,"observations":[{"actual":"1/2","check":"retransmission","expected":"1/2","passed":true},{"actual":"1/2","check":"two sensors same sequence","expected":"1","passed":false},{"actual":"1","check":"successive samples","expected":"1","passed":true},{"actual":"1/4","check":"mixed duplicates","expected":"1/2","passed":false},{"actual":"1/3","check":"one packet","expected":"1/3","passed":true},{"actual":"0","check":"no packet","expected":"0","passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"retransmission\", \"actual\": \"1/2\", \"expected\": \"1/2\", \"passed\": true}, {\"check\": \"two sensors same sequence\", \"actual\": \"1/2\", \"expected\": \"1\", \"passed\": false}, {\"check\": \"successive samples\", \"actual\": \"1\", \"expected\": \"1\", \"passed\": true}, {\"check\": \"mixed duplicates\", \"actual\": \"1/4\", \"expected\": \"1/2\", \"passed\": false}, {\"check\": \"one packet\", \"actual\": \"1/3\", \"expected\": \"1/3\", \"passed\": true}, {\"check\": \"no packet\", \"actual\": \"0\", \"expected\": \"0\", \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":41.675,"exit_code":1,"observations":[{"actual":"1","check":"retransmission","expected":"1/2","passed":false},{"actual":"1","check":"two sensors same sequence","expected":"1","passed":true},{"actual":"1","check":"successive samples","expected":"1","passed":true},{"actual":"3/4","check":"mixed duplicates","expected":"1/2","passed":false},{"actual":"1/3","check":"one packet","expected":"1/3","passed":true},{"actual":"0","check":"no packet","expected":"0","passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"retransmission\", \"actual\": \"1\", \"expected\": \"1/2\", \"passed\": false}, {\"check\": \"two sensors same sequence\", \"actual\": \"1\", \"expected\": \"1\", \"passed\": true}, {\"check\": \"successive samples\", \"actual\": \"1\", \"expected\": \"1\", \"passed\": true}, {\"check\": \"mixed duplicates\", \"actual\": \"3/4\", \"expected\": \"1/2\", \"passed\": false}, {\"check\": \"one packet\", \"actual\": \"1/3\", \"expected\": \"1/3\", \"passed\": true}, {\"check\": \"no packet\", \"actual\": \"0\", \"expected\": \"0\", \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":42.306,"exit_code":0,"observations":[{"actual":"1/2","check":"retransmission","expected":"1/2","passed":true},{"actual":"1","check":"two sensors same sequence","expected":"1","passed":true},{"actual":"1","check":"successive samples","expected":"1","passed":true},{"actual":"1/2","check":"mixed duplicates","expected":"1/2","passed":true},{"actual":"1/3","check":"one packet","expected":"1/3","passed":true},{"actual":"0","check":"no packet","expected":"0","passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"retransmission\", \"actual\": \"1/2\", \"expected\": \"1/2\", \"passed\": true}, {\"check\": \"two sensors same sequence\", \"actual\": \"1\", \"expected\": \"1\", \"passed\": true}, {\"check\": \"successive samples\", \"actual\": \"1\", \"expected\": \"1\", \"passed\": true}, {\"check\": \"mixed duplicates\", \"actual\": \"1/2\", \"expected\": \"1/2\", \"passed\": true}, {\"check\": \"one packet\", \"actual\": \"1/3\", \"expected\": \"1/3\", \"passed\": true}, {\"check\": \"no packet\", \"actual\": \"0\", \"expected\": \"0\", \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}