FA-99736 / Chunk citation alignment / Open access

Line citations count the chunk header as source text · case 01

Line citations count the chunk header as source text.

Verified by executionVariant 1 · 7 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

A displayed prefix is included in the source line offset.

THE FAILURE

A displayed prefix is included in the source line offset.

Unsuccessful approach: Subtracting the header only for lines greater than the header size mishandles the first source line.

Case contract

Given local displayed line numbers and header line count h, return source line numbers by subtracting h.

Why this case matters

A deterministic citation bookkeeping model isolates source attribution from rendering and retrieval.

1 / The failure

Exit 1

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

N = 1
observations = []
def solve(lines, header_lines):
    return list(lines)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('line after header',solve([N+1,N+3],N),[1,3])
check('first source line',solve([N+1],N),[1])
check('header boundary',solve([N],N),[0])
check('no header',solve([1,4],0),[1,4])
check('empty',solve([],N),[])
check('duplicate',solve([N+2,N+2],N),[2,2])
check('order',solve([N+4,N+1],N),[4,1])
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
line after header	`[2, 4]`	`[1, 3]`	Failed
first source line	`[2]`	`[1]`	Failed
header boundary	`[1]`	`[0]`	Failed
no header	`[1, 4]`	`[1, 4]`	Passed
empty	`[]`	`[]`	Passed
duplicate	`[3, 3]`	`[2, 2]`	Failed
order	`[5, 2]`	`[4, 1]`	Failed

SHA-256 / 8f47c462e2532ef4b725015ae69757a53bd5cc6d4cf4b1bff47f9f4765582ec0

2 / The unsuccessful fix

Exit 1

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

N = 1
observations = []
def solve(lines, header_lines):
    return [x-header_lines if x>header_lines else x for x in lines]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('line after header',solve([N+1,N+3],N),[1,3])
check('first source line',solve([N+1],N),[1])
check('header boundary',solve([N],N),[0])
check('no header',solve([1,4],0),[1,4])
check('empty',solve([],N),[])
check('duplicate',solve([N+2,N+2],N),[2,2])
check('order',solve([N+4,N+1],N),[4,1])
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
line after header	`[1, 3]`	`[1, 3]`	Passed
first source line	`[1]`	`[1]`	Passed
header boundary	`[1]`	`[0]`	Failed
no header	`[1, 4]`	`[1, 4]`	Passed
empty	`[]`	`[]`	Passed
duplicate	`[2, 2]`	`[2, 2]`	Passed
order	`[4, 1]`	`[4, 1]`	Passed

SHA-256 / 9b2adfc70ffa986db8f3dae74b2c989abec80cdae399baa8d4c2a1f272d020d8

HELD IN THE MEMBER ARCHIVE

The verified repair and its recorded checks are member-only.

This mechanism has 7 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.

Member access is invitation-based. Sign in with your invited account to inspect the repair.

Verification & scope

Inputs are small integer offsets and identifiers under the stated toy contract; this does not define a document format or production citation API. 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 2026-09-30T16:48:27.615290+00:00.

Case digest / f5bc0dfae6965d277e99e8e5c0a9ba0c786d87f4487d17e141dc70b928cc4a11