FA-100081 / Preference pair construction / Open access
Preference pairs: weights are normalized across unrelated prompts · case 01
weights are normalized across unrelated prompts.
ROOT CAUSE
The denominator is computed over the entire dataset, coupling independent prompt groups.
THE FAILURE
The denominator is computed over the entire dataset, coupling independent prompt groups.
Unsuccessful approach: Normalizing each row to one ignores other eligible pairs for the same prompt.
Case contract
Rows are [prompt,id,weight]. Return [prompt,id,numerator,denominator] for positive weights normalized by prompt sum, preserving input order.
Why this case matters
A small deterministic preference-data transform makes pair semantics inspectable without a training framework.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(rows):
total=sum(r[2] for r in rows)
return [[r[0],r[1],r[2],total] for r in rows if r[2]>0]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
p='p'+str(N); q='q'+str(N)
check('separate denominators',solve([[p,'a',N],[p,'b',N],[q,'c',2*N]]),[[p,'a',1,2],[p,'b',1,2],[q,'c',1,1]])
check('zero excluded',solve([[p,'a',0],[p,'b',N]]),[[p,'b',1,1]])
check('empty',solve([]),[])
check('all zero',solve([[p,'a',0]]),[])
check('singleton',solve([[p,'a',N]]),[[p,'a',1,1]])
check('interleaved groups',solve([[p,'a',1],[q,'b',1],[p,'c',3]]),[[p,'a',1,4],[q,'b',1,1],[p,'c',3,4]])
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 |
|---|---|---|---|
| separate denominators | [['p1', 'a', 1, 4], ['p1', 'b', 1, 4], ['q1', 'c', 2, 4]] | [['p1', 'a', 1, 2], ['p1', 'b', 1, 2], ['q1', 'c', 1, 1]] | Failed |
| zero excluded | [['p1', 'b', 1, 1]] | [['p1', 'b', 1, 1]] | Passed |
| empty | [] | [] | Passed |
| all zero | [] | [] | Passed |
| singleton | [['p1', 'a', 1, 1]] | [['p1', 'a', 1, 1]] | Passed |
| interleaved groups | [['p1', 'a', 1, 5], ['q1', 'b', 1, 5], ['p1', 'c', 3, 5]] | [['p1', 'a', 1, 4], ['q1', 'b', 1, 1], ['p1', 'c', 3, 4]] | Failed |
SHA-256 / 0841dc420f610fd0a7b07cc52f306be8fc30ae902911d74d8db1daeac4d5d2b5
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(rows):
return [[r[0],r[1],1,1] for r in rows if r[2]>0]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
p='p'+str(N); q='q'+str(N)
check('separate denominators',solve([[p,'a',N],[p,'b',N],[q,'c',2*N]]),[[p,'a',1,2],[p,'b',1,2],[q,'c',1,1]])
check('zero excluded',solve([[p,'a',0],[p,'b',N]]),[[p,'b',1,1]])
check('empty',solve([]),[])
check('all zero',solve([[p,'a',0]]),[])
check('singleton',solve([[p,'a',N]]),[[p,'a',1,1]])
check('interleaved groups',solve([[p,'a',1],[q,'b',1],[p,'c',3]]),[[p,'a',1,4],[q,'b',1,1],[p,'c',3,4]])
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 |
|---|---|---|---|
| separate denominators | [['p1', 'a', 1, 1], ['p1', 'b', 1, 1], ['q1', 'c', 1, 1]] | [['p1', 'a', 1, 2], ['p1', 'b', 1, 2], ['q1', 'c', 1, 1]] | Failed |
| zero excluded | [['p1', 'b', 1, 1]] | [['p1', 'b', 1, 1]] | Passed |
| empty | [] | [] | Passed |
| all zero | [] | [] | Passed |
| singleton | [['p1', 'a', 1, 1]] | [['p1', 'a', 1, 1]] | Passed |
| interleaved groups | [['p1', 'a', 1, 1], ['q1', 'b', 1, 1], ['p1', 'c', 1, 1]] | [['p1', 'a', 1, 4], ['q1', 'b', 1, 1], ['p1', 'c', 3, 4]] | Failed |
SHA-256 / 30ed27929224f3c8954cfff89a41ba948c1f0badc7101d19936fb25312f1a920
HELD IN THE MEMBER ARCHIVE
The verified repair and its recorded checks are member-only.
This mechanism has 6 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
These are explicit toy record contracts; they do not claim compatibility with a trainer or improved model behavior. 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 2026-09-30T16:48:31.717323+00:00.
Case digest / 59b307abf159cdd229e1a3c6bddc0d3c9fafe2990069bf0cc6427f24639a3f61