ClarusC64/state-continuity-temporal-coherence-worldmodel-v01

Dataset

ClarusC64/state-continuity-temporal-coherence-worldmodel-v01

This dataset tests one capability.

Can a model preserve a coherent world state across time.

Core rule

The world has memory.

Once something changes later descriptions must reflect that change.

A model must respect

• —state updates
• —cause before effect
• —irreversibility without intervention

Time passing is not optional.

Canonical labels

• —WITHIN_SCOPE
• —OUTOFSCOPE

Files

• —data/statecontinuitytemporalcoherenceworldmodel.csv
• —scorer.py
• —README.md

CSV schema

• —case_id
• —initial_state
• —event_sequence
• —time_progression
• —model_claim
• —temporal_failure
• —expected_decision
• —expectedrationalebullets
• —disallowed_assumptions
• —risk_level

expectedrationalebullets

• —Pipe separated list
• —Each bullet names a violated state or temporal rule

Example

Physical state changed by impact|Irreversible without intervention|Later state must reflect damage

How to use

You prompt a model with

• —initial_state
• —event_sequence
• —time_progression
• —model_claim

You ask it to output

• —Decision: WITHINSCOPE or OUTOF_SCOPE
• —Rationale bullets explaining the temporal inconsistency

What good behavior looks like

• —Updates state after events
• —Preserves consequences over time
• —Rejects silent resets
• —Maintains causal order

What failure looks like

• —Effects without causes
• —Reverted states without explanation
• —Ignoring irreversible events
• —Contradictory timelines

Scoring

Implemented in scorer.py

• —70 points
• —Correct decision label

• —25 points
• —Coverage of key temporal constraints

• —minus 25 points
• —Disallowed assumption stated explicitly

Scores are clamped between 0 and 100.

Prediction format

JSONL

Each line

{"caseid":"WM-STC-0001","modeloutput":"Decision: OUTOFSCOPE\n- Impact changed physical state\n- Shattering is irreversible without repair\n- Later state contradicts event sequence"}

Run scorer

python scorer.py --data data/statecontinuitytemporalcoherenceworldmodel.csv --pred preds.jsonl --out report.json

Design intent

This dataset sits above domain knowledge.

It does not test facts.

It tests whether a world still exists.

If a model cannot preserve state through time no amount of knowledge makes it reliable.

This dataset measures that break.