Review claim conflicts across time and source revisions

Last updated: 7 Oct 20265 min read

tutorial

Two passages can both be accurate records of what was believed at different times. A verifier must distinguish superseded claims from live contradictions.

Identify the source state

An incident log may say at 14:07 that the queue is healthy and at 14:47 that the queue is saturated. Those statements can describe a change, not an inconsistency. Another note might retract an earlier diagnosis. Store observed time, publication time, author, revision and explicit retraction links. A claim about the current state needs the latest authorized evidence, not simply the highest-scoring text match. The inference contract defines what each passage supports in isolation.

Classify the disagreement

Mark pairs as compatible change, genuine conflict, supersession or unresolved ambiguity. A model that sees opposing words without timestamps may overreport contradiction. Conversely, a new statement does not automatically supersede an older one if it refers to a different system or scope. Review entity identity and affected product version. Preserve both quotes and their offsets for audit, with restricted access where needed.

Prioritize harmful conflicts

A wrong amount, owner or mitigation status deserves a higher review priority than a stylistic difference. Build reviewed examples with numeric shifts, negation, uncertain causes and source corrections. Report false accepted current claims, missed conflicts and unnecessary review volume. Split by incident and time to keep copied updates together. Automated overlap metrics cannot establish which assertion is authoritative.

Return a cautious result

The checker should return current-supported, superseded, conflicting or needs-review with the relevant source revisions. It must not silently select the newest timestamp if trust levels differ or the latest note is a quoted rumor. A reviewer can resolve the dispute and attach a decision record. Summary claim review uses that record when drafting a handoff, while the project exercises the state model.

Implementation

def claim_status(evidence_rows):
    approved = [row for row in evidence_rows if row["reviewed"]]
    if not approved:
        return "needs-review"
    latest_time = max(row["observed_at"] for row in approved)
    current = [row for row in approved if row["observed_at"] == latest_time]
    positions = {row["position"] for row in current}
    if len(positions) > 1:
        return "conflicting"
    return "current-supported" if positions == {"supports"} else "current-refuted"

evidence = [{"observed_at": 1407, "position": "refutes", "reviewed": True},
            {"observed_at": 1447, "position": "supports", "reviewed": True}]
assert claim_status(evidence) == "current-supported"

Performance and operating cost

Scanning r reviewed evidence rows is O(r) time and O(r) temporary space in this simple implementation; a database can index claim key and observation time. Time order alone is not authority, so a production reviewer must also inspect provenance and retraction links. Measure disputed-claim queue age and false current assertions, not just classifier speed.

Common Mistakes

Calling a time-evolving status a logical contradiction.
Assuming the latest message is always authoritative.
Dropping superseded evidence and losing the correction trail.
Publishing a confident claim while same-time reviewed sources conflict.