FA-18301 / Time representation / Open access
Civil predecessor uses current offset across step or freezes historical offset · case 01
The decoded time state disagrees with the explicit regression oracle for previous_offset.
ROOT CAUSE
Civil predecessor uses current offset across step or freezes historical offset.
THE FAILURE
Civil predecessor uses current offset across step or freezes historical offset.
Unsuccessful approach: The partial correction still substitutes r['old'] at the same fault site.
Case contract
A stipulated offset table has initial atomic-minus-civil offset and a single step effective at atomic transition T. Translate atomic to civil label using active offset, retaining a fold tag for repeated labels on positive steps. Report label, offset, previous-label delta, discontinuity direction, repeated-label window membership and invertible pair. Offsets need not correspond to any real-world table.
Why this case matters
Clock transfer and timestamp consumers require preserved coordinate, phase, validity and elapsed-time semantics.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
from fractions import Fraction
N = 1
observations = []
def solve(r):
active_offset = r['new'] if r['atomic'] >= r['transition'] else r['old']
label = r['atomic'] - active_offset
previous_offset = active_offset
previous_label = r['atomic'] - 1 - previous_offset
step = r['new'] - r['old']
label_delta = label - previous_label
fold = step > 0 and r['transition'] <= r['atomic'] < r['transition'] + step
gap = step < 0 and r['atomic'] == r['transition']
direction = (step > 0) - (step < 0)
reconstructed = label + active_offset
return [label,active_offset,label_delta,fold,gap,direction,reconstructed,[label,int(fold)]]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('fixture 1', solve({'atomic': 99, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}), [89, 10, 1, False, False, 1, 99, [89, 0]])
check('fixture 2', solve({'atomic': 100, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}), [89, 11, 0, True, False, 1, 100, [89, 1]])
check('fixture 3', solve({'atomic': 101, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}), [90, 11, 1, False, False, 1, 101, [90, 0]])
check('fixture 4', solve({'atomic': 110, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}), [99, 11, 1, False, False, 1, 110, [99, 0]])
check('fixture 5', solve({'atomic': 100, 'transition': 100, 'old': 10, 'new': 9, 'probe': 0}), [91, 9, 2, False, True, -1, 100, [91, 0]])
check('fixture 6', solve({'atomic': 99, 'transition': 100, 'old': 10, 'new': 9, 'probe': 0}), [89, 10, 1, False, False, -1, 99, [89, 0]])
check('fixture 7', solve({'atomic': 101, 'transition': 100, 'old': 10, 'new': 9, 'probe': 0}), [92, 9, 1, False, False, -1, 101, [92, 0]])
check('fixture 8', solve({'atomic': 100, 'transition': 100, 'old': 10, 'new': 10, 'probe': 0}), [90, 10, 1, False, False, 0, 100, [90, 0]])
check('fixture 9', solve({'atomic': 101, 'transition': 100, 'old': 10, 'new': 13, 'probe': 0}), [88, 13, 1, True, False, 1, 101, [88, 1]])
check('fixture 10', solve({'atomic': 103, 'transition': 100, 'old': 10, 'new': 13, 'probe': 0}), [90, 13, 1, False, False, 1, 103, [90, 0]])
check('fixture 11', solve({'atomic': 100, 'transition': 100, 'old': 10, 'new': 13, 'probe': 0}), [87, 13, -2, True, False, 1, 100, [87, 1]])
variant = [({'atomic': 100, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}, [89, 11, 0, True, False, 1, 100, [89, 1]]), ({'atomic': 101, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}, [90, 11, 1, False, False, 1, 101, [90, 0]]), ({'atomic': 102, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}, [91, 11, 1, False, False, 1, 102, [91, 0]]), ({'atomic': 103, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}, [92, 11, 1, False, False, 1, 103, [92, 0]]), ({'atomic': 104, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}, [93, 11, 1, False, False, 1, 104, [93, 0]])]
check("variant capture", solve(variant[N-1][0]), variant[N-1][1])
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| fixture 1 | [89, 10, 1, False, False, 1, 99, [89, 0]] | [89, 10, 1, False, False, 1, 99, [89, 0]] | Passed |
| fixture 2 | [89, 11, 1, True, False, 1, 100, [89, 1]] | [89, 11, 0, True, False, 1, 100, [89, 1]] | Failed |
| fixture 3 | [90, 11, 1, False, False, 1, 101, [90, 0]] | [90, 11, 1, False, False, 1, 101, [90, 0]] | Passed |
| fixture 4 | [99, 11, 1, False, False, 1, 110, [99, 0]] | [99, 11, 1, False, False, 1, 110, [99, 0]] | Passed |
| fixture 5 | [91, 9, 1, False, True, -1, 100, [91, 0]] | [91, 9, 2, False, True, -1, 100, [91, 0]] | Failed |
| fixture 6 | [89, 10, 1, False, False, -1, 99, [89, 0]] | [89, 10, 1, False, False, -1, 99, [89, 0]] | Passed |
| fixture 7 | [92, 9, 1, False, False, -1, 101, [92, 0]] | [92, 9, 1, False, False, -1, 101, [92, 0]] | Passed |
| fixture 8 | [90, 10, 1, False, False, 0, 100, [90, 0]] | [90, 10, 1, False, False, 0, 100, [90, 0]] | Passed |
| fixture 9 | [88, 13, 1, True, False, 1, 101, [88, 1]] | [88, 13, 1, True, False, 1, 101, [88, 1]] | Passed |
| fixture 10 | [90, 13, 1, False, False, 1, 103, [90, 0]] | [90, 13, 1, False, False, 1, 103, [90, 0]] | Passed |
| fixture 11 | [87, 13, 1, True, False, 1, 100, [87, 1]] | [87, 13, -2, True, False, 1, 100, [87, 1]] | Failed |
| variant capture | [89, 11, 1, True, False, 1, 100, [89, 1]] | [89, 11, 0, True, False, 1, 100, [89, 1]] | Failed |
SHA-256 / 3e8ae8f3601508eb8b95b3bdaa4b0ecbcfc3def11ef3d4b05fe9c19a8f2dbca0
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
from fractions import Fraction
N = 1
observations = []
def solve(r):
active_offset = r['new'] if r['atomic'] >= r['transition'] else r['old']
label = r['atomic'] - active_offset
previous_offset = r['old']
previous_label = r['atomic'] - 1 - previous_offset
step = r['new'] - r['old']
label_delta = label - previous_label
fold = step > 0 and r['transition'] <= r['atomic'] < r['transition'] + step
gap = step < 0 and r['atomic'] == r['transition']
direction = (step > 0) - (step < 0)
reconstructed = label + active_offset
return [label,active_offset,label_delta,fold,gap,direction,reconstructed,[label,int(fold)]]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('fixture 1', solve({'atomic': 99, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}), [89, 10, 1, False, False, 1, 99, [89, 0]])
check('fixture 2', solve({'atomic': 100, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}), [89, 11, 0, True, False, 1, 100, [89, 1]])
check('fixture 3', solve({'atomic': 101, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}), [90, 11, 1, False, False, 1, 101, [90, 0]])
check('fixture 4', solve({'atomic': 110, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}), [99, 11, 1, False, False, 1, 110, [99, 0]])
check('fixture 5', solve({'atomic': 100, 'transition': 100, 'old': 10, 'new': 9, 'probe': 0}), [91, 9, 2, False, True, -1, 100, [91, 0]])
check('fixture 6', solve({'atomic': 99, 'transition': 100, 'old': 10, 'new': 9, 'probe': 0}), [89, 10, 1, False, False, -1, 99, [89, 0]])
check('fixture 7', solve({'atomic': 101, 'transition': 100, 'old': 10, 'new': 9, 'probe': 0}), [92, 9, 1, False, False, -1, 101, [92, 0]])
check('fixture 8', solve({'atomic': 100, 'transition': 100, 'old': 10, 'new': 10, 'probe': 0}), [90, 10, 1, False, False, 0, 100, [90, 0]])
check('fixture 9', solve({'atomic': 101, 'transition': 100, 'old': 10, 'new': 13, 'probe': 0}), [88, 13, 1, True, False, 1, 101, [88, 1]])
check('fixture 10', solve({'atomic': 103, 'transition': 100, 'old': 10, 'new': 13, 'probe': 0}), [90, 13, 1, False, False, 1, 103, [90, 0]])
check('fixture 11', solve({'atomic': 100, 'transition': 100, 'old': 10, 'new': 13, 'probe': 0}), [87, 13, -2, True, False, 1, 100, [87, 1]])
variant = [({'atomic': 100, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}, [89, 11, 0, True, False, 1, 100, [89, 1]]), ({'atomic': 101, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}, [90, 11, 1, False, False, 1, 101, [90, 0]]), ({'atomic': 102, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}, [91, 11, 1, False, False, 1, 102, [91, 0]]), ({'atomic': 103, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}, [92, 11, 1, False, False, 1, 103, [92, 0]]), ({'atomic': 104, 'transition': 100, 'old': 10, 'new': 11, 'probe': 0}, [93, 11, 1, False, False, 1, 104, [93, 0]])]
check("variant capture", solve(variant[N-1][0]), variant[N-1][1])
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| fixture 1 | [89, 10, 1, False, False, 1, 99, [89, 0]] | [89, 10, 1, False, False, 1, 99, [89, 0]] | Passed |
| fixture 2 | [89, 11, 0, True, False, 1, 100, [89, 1]] | [89, 11, 0, True, False, 1, 100, [89, 1]] | Passed |
| fixture 3 | [90, 11, 0, False, False, 1, 101, [90, 0]] | [90, 11, 1, False, False, 1, 101, [90, 0]] | Failed |
| fixture 4 | [99, 11, 0, False, False, 1, 110, [99, 0]] | [99, 11, 1, False, False, 1, 110, [99, 0]] | Failed |
| fixture 5 | [91, 9, 2, False, True, -1, 100, [91, 0]] | [91, 9, 2, False, True, -1, 100, [91, 0]] | Passed |
| fixture 6 | [89, 10, 1, False, False, -1, 99, [89, 0]] | [89, 10, 1, False, False, -1, 99, [89, 0]] | Passed |
| fixture 7 | [92, 9, 2, False, False, -1, 101, [92, 0]] | [92, 9, 1, False, False, -1, 101, [92, 0]] | Failed |
| fixture 8 | [90, 10, 1, False, False, 0, 100, [90, 0]] | [90, 10, 1, False, False, 0, 100, [90, 0]] | Passed |
| fixture 9 | [88, 13, -2, True, False, 1, 101, [88, 1]] | [88, 13, 1, True, False, 1, 101, [88, 1]] | Failed |
| fixture 10 | [90, 13, -2, False, False, 1, 103, [90, 0]] | [90, 13, 1, False, False, 1, 103, [90, 0]] | Failed |
| fixture 11 | [87, 13, -2, True, False, 1, 100, [87, 1]] | [87, 13, -2, True, False, 1, 100, [87, 1]] | Passed |
| variant capture | [89, 11, 0, True, False, 1, 100, [89, 1]] | [89, 11, 0, True, False, 1, 100, [89, 1]] | Passed |
SHA-256 / 8f7458563cb2cc6f270819e778582f0dceab84a2f10499bcde80ee33147cddcc
HELD IN THE MEMBER ARCHIVE
The verified repair and its recorded checks are member-only.
This mechanism has 12 recorded checks per implementation. The open-access tier publishes the failure and the unsuccessful fix; the repaired source that passes every check, and the observations that prove it, are available to members.
Every case sharing this mechanism uses the same contract and the same repair, so this one record is held back for all of them.
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Sign in to the archive ↗Verification & scope
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.
Observations recorded using Python 3.12.14 at 2026-09-29T14:39:56.704727+00:00.
Case digest / a3024bc8052adfc51e3434abf4d0006bd45682aeb431a9b6b1da9d8811b3f92a