FA-98176 / Attention mask construction / Open access
Cached rectangular attention uses local instead of absolute positions · case 01
Cached rectangular attention uses local instead of absolute positions.
ROOT CAUSE
The query row index is compared directly to key positions.
THE FAILURE
The query row index is compared directly to key positions.
Unsuccessful approach: Shifting by the whole key length works only when the cache is full.
Case contract
Queries occupy absolute positions [query_start, query_start+Q); keys are absolute [0,K).
Why this case matters
A small explicit visibility matrix makes sequence-attention boundary behavior reviewable.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(key_count, query_count, query_start):
return [[j<=i for j in range(key_count)] for i in range(query_count)]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('partial cache offset',solve(N+3,2,N),[[j<=N+i for j in range(N+3)] for i in range(2)])
check('zero offset',solve(3,2,0),[[j<=i for j in range(3)] for i in range(2)])
check('empty queries',solve(3,0,2),[])
check('empty keys',solve(0,2,0),[[],[]])
check('one query',solve(4,1,2),[[True,True,True,False]])
check('last cached query',solve(5,2,3)[1],[True,True,True,True,True])
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 |
|---|---|---|---|
| partial cache offset | [[True, False, False, False], [True, True, False, False]] | [[True, True, False, False], [True, True, True, False]] | Failed |
| zero offset | [[True, False, False], [True, True, False]] | [[True, False, False], [True, True, False]] | Passed |
| empty queries | [] | [] | Passed |
| empty keys | [[], []] | [[], []] | Passed |
| one query | [[True, False, False, False]] | [[True, True, True, False]] | Failed |
| last cached query | [True, True, False, False, False] | [True, True, True, True, True] | Failed |
SHA-256 / 1424425697c7c5b15cf7e04c0820f2f7800fb4ba3e81fb62c0d44fb9191976f3
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(key_count, query_count, query_start):
return [[j<=key_count-query_count+i for j in range(key_count)] for i in range(query_count)]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('partial cache offset',solve(N+3,2,N),[[j<=N+i for j in range(N+3)] for i in range(2)])
check('zero offset',solve(3,2,0),[[j<=i for j in range(3)] for i in range(2)])
check('empty queries',solve(3,0,2),[])
check('empty keys',solve(0,2,0),[[],[]])
check('one query',solve(4,1,2),[[True,True,True,False]])
check('last cached query',solve(5,2,3)[1],[True,True,True,True,True])
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 |
|---|---|---|---|
| partial cache offset | [[True, True, True, False], [True, True, True, True]] | [[True, True, False, False], [True, True, True, False]] | Failed |
| zero offset | [[True, True, False], [True, True, True]] | [[True, False, False], [True, True, False]] | Failed |
| empty queries | [] | [] | Passed |
| empty keys | [[], []] | [[], []] | Passed |
| one query | [[True, True, True, True]] | [[True, True, True, False]] | Failed |
| last cached query | [True, True, True, True, True] | [True, True, True, True, True] | Passed |
SHA-256 / 8cb640083acb71fe27dadd6fac3a36cb1cd1073c175fc6f0af2a135f58b802e1
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 toy Boolean matrix contracts; they do not define a production model architecture or tensor library 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 2026-09-30T16:48:10.193787+00:00.
Case digest / e7a3a0b086b340eff50da25cbea6e8521abf73f5cc230652df3851c58c26d942