FA-98566 / KV cache position mapping / Open access
Left padding does not consume logical positions · case 01
Position IDs include the leading pad cells.
ROOT CAUSE
The physical column number is used directly as the model position.
THE FAILURE
The physical column number is used directly as the model position.
Unsuccessful approach: Subtracting padding from every physical column makes pad positions negative instead of marking them invalid.
Case contract
For a row of booleans where true means a real token, return position IDs beginning at zero for real tokens and -1 for pads.
Why this case matters
A small in-memory model makes the cache address contract explicit for a serving component.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(valid):
return [i for i,_ in enumerate(valid)]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('left pad',solve([False,False,True,True]),[-1,-1,0,1])
check('right pad',solve([True,True,False]),[0,1,-1])
check('no padding',solve([True]*N),list(range(N)))
check('all padding',solve([False]*N),[-1]*N)
check('single token',solve([True]),[0])
check('interior pad',solve([True,False,True]),[0,-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 |
|---|---|---|---|
| left pad | [0, 1, 2, 3] | [-1, -1, 0, 1] | Failed |
| right pad | [0, 1, 2] | [0, 1, -1] | Failed |
| no padding | [0] | [0] | Passed |
| all padding | [0] | [-1] | Failed |
| single token | [0] | [0] | Passed |
| interior pad | [0, 1, 2] | [0, -1, 1] | Failed |
SHA-256 / 7242f287094ad15050b22e8ebd51ed1b2e6c4fa09966c81ee0e3af3cbc3b2f14
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(valid):
return [i-sum(not x for x in valid[:i+1]) for i in range(len(valid))]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('left pad',solve([False,False,True,True]),[-1,-1,0,1])
check('right pad',solve([True,True,False]),[0,1,-1])
check('no padding',solve([True]*N),list(range(N)))
check('all padding',solve([False]*N),[-1]*N)
check('single token',solve([True]),[0])
check('interior pad',solve([True,False,True]),[0,-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 |
|---|---|---|---|
| left pad | [-1, -1, 0, 1] | [-1, -1, 0, 1] | Passed |
| right pad | [0, 1, 1] | [0, 1, -1] | Failed |
| no padding | [0] | [0] | Passed |
| all padding | [-1] | [-1] | Passed |
| single token | [0] | [0] | Passed |
| interior pad | [0, 0, 1] | [0, -1, 1] | Failed |
SHA-256 / 4cd69af9d7b5453487408c4f2ae4495fa80939e173c6a3dbc95f39da9b4010fa
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 toy integer maps omit tensor layout, concurrency, device memory, and model-specific cache formats. 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 2026-09-30T16:48:14.544621+00:00.
Case digest / 5472fe8f2d5995467a28e899847ee9bb4c33923092a6c03555d5f2d7eeae5438