FAILURE MAP
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FA-99356 / Embedding vector normalization / Open access

Zero embeddings become a fabricated unit vector · case 01

Zero embeddings become a fabricated unit vector.

Verified by executionVariant 1 · 6 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

The zero norm fallback inserts a coordinate value that is not in the input direction.

THE FAILURE

The zero norm fallback inserts a coordinate value that is not in the input direction.

Unsuccessful approach: Replacing zero by a vector of ones still invents a direction.

Case contract

Normalize by L2 length while preserving input dimensionality; zero and empty inputs remain unchanged.

Why this case matters

A small embedding preparation contract can be checked without a model or retrieval system.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(v):
    return [x/(sum(y*y for y in v)**0.5) for x in v] if any(v) else [1.0]*len(v)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('zero pair', solve([0,0]), [0,0])
check('empty', solve([]), [])
check('ordinary', solve([3,4]), [0.6,0.8])
check('signed zero', solve([0,0,0]), [0,0,0])
check('single zero', solve([0]), [0])
check('direction retained', solve([-N,N]), [-N/(2*N*N)**0.5,N/(2*N*N)**0.5])
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 fixtureActualExpectedOutcome
zero pair[1.0, 1.0][0, 0]Failed
empty[][]Passed
ordinary[0.6, 0.8][0.6, 0.8]Passed
signed zero[1.0, 1.0, 1.0][0, 0, 0]Failed
single zero[1.0][0]Failed
direction retained[-0.7071067811865475, 0.7071067811865475][-0.7071067811865475, 0.7071067811865475]Passed

SHA-256 / 487fe7e5ef0c4837cded3768934a23b16146e613db7d06a1141b8f6281e34859

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(v):
    return [x/(sum(y*y for y in v)**0.5) for x in v] if any(v) else ([0.0] if len(v)==1 else [1.0]*len(v))
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('zero pair', solve([0,0]), [0,0])
check('empty', solve([]), [])
check('ordinary', solve([3,4]), [0.6,0.8])
check('signed zero', solve([0,0,0]), [0,0,0])
check('single zero', solve([0]), [0])
check('direction retained', solve([-N,N]), [-N/(2*N*N)**0.5,N/(2*N*N)**0.5])
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 fixtureActualExpectedOutcome
zero pair[1.0, 1.0][0, 0]Failed
empty[][]Passed
ordinary[0.6, 0.8][0.6, 0.8]Passed
signed zero[1.0, 1.0, 1.0][0, 0, 0]Failed
single zero[0.0][0]Passed
direction retained[-0.7071067811865475, 0.7071067811865475][-0.7071067811865475, 0.7071067811865475]Passed

SHA-256 / 25634a07759f7c62cce526fb8c89ce681811db3439ba4fbfe59158dcc9b64f9d

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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Verification & scope

Inputs are finite toy vectors or token rows; this contract makes no claim about model quality or production embedding 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 2026-09-30T16:48:23.078999+00:00.

Case digest / 53670f3c5f6d552f3171057aa13cebe1b96a32515d14c3deb854fc8ae3e14c92