Evaluation contamination detection
Protect evaluation evidence from exposure and contamination
Evaluation contamination detection becomes relevant when an agent or optimisation loop may have seen examples used to judge improvement. A focused review would examine a test item or evaluation artefact traced through access, training, memory and optimisation pathways. This is most relevant to evaluation researchers and adaptive-agent platform owners, especially where teams must distinguish test familiarity and transferable behaviour.
Follow the agent through a declared change sequence
- Evaluation-set provenance and access records
Identify the initial state and what can be reconstructed.
- Test familiarity
Introduce or observe the relevant changed condition.
- Training, prompt and memory inputs
Compare behaviour while retaining version and workload context.
- A protected evaluation and claim-repair plan
Define the evidence needed before extending the conclusion.
Decision at stake
Protect evaluation evidence from exposure and contamination
Make the decision explicit
- Evaluation researchers and adaptive-agent platform owners
- An agent or optimisation loop may have seen examples used to judge improvement.
- Decision
- Whether evaluation results still support generalization and what evidence must be replaced or qualified.
- Test familiarity
- Use evaluation-set provenance and access records to establish the relevant starting condition.
For evaluation researchers and adaptive-agent platform owners, the immediate question is whether evaluation results still support generalization and what evidence must be replaced or qualified. This is most useful when there is a real choice between proceeding, changing the design, collecting more evidence or narrowing the intended use. The starting conversation should identify that choice and its consequence before deciding how much work the topic warrants.
A system could appear to improve on a benchmark because its examples entered memory or prompt tuning, while fresh tasks show no comparable gain. A useful review follows a test item or evaluation artefact traced through access, training, memory and optimisation pathways, rather than stopping at a convenient component metric or document boundary. The evidence should separate observation, interpretation and recommendation so the accountable owner can see what it supports.
Coverage
Test familiarity and transferable behaviour need different evidence
Keep the review distinctions visible
- Test familiarity
- Compare with transferable behaviour.
- Direct leakage
- Compare with repeated selection.
- Suspected overlap
- Compare with established contamination.
Test familiarity versus transferable behaviour
Provenance analysis would trace test items, expected outputs and scoring rules into prompts, memory and adaptation data. Exposure can arise through direct reuse or the repeated selection of candidates against a familiar evaluation.
Direct leakage versus repeated selection
Similarity findings would be investigated with context and access evidence. A common task pattern is not automatically contamination, while a confirmed exposed item needs qualification even if its output remains correct.
Suspected overlap versus established contamination
Claim repair would preserve historical results with clear limits and replacement evidence. New protected tests can support a fresh conclusion but cannot retroactively make earlier exposed evaluation independent.
Prerequisites
Start with evaluation-set provenance and access records
Give each input a specific job
- Evaluation-set provenance and access records
- Defines the operating boundary.
- Training, prompt and memory inputs
- Examine direct leakage.
- Selection history and held-out comparisons
- Shows conditions affecting suspected overlap.
- Agent operating owner
- Confirm access and a reviewer who can resolve gaps.
For Evaluation contamination detection, the team should be able to identify the relevant model, prompt, tool and retained-state conditions. A controlled environment, representative sequences and explicit stop conditions are needed for active tests. Missing lineage or inaccessible provider behaviour would be recorded as a limitation on reconstruction and comparison.
Useful starting material would include evaluation-set provenance and access records; training, prompt and memory inputs; selection history and held-out comparisons. These inputs have different jobs: the first establishes context, the second supplies behaviour or comparison material, and the third exposes operating conditions that may qualify a conclusion. Existing material would be reviewed before requesting new collection, and a missing input would be recorded as an evidence gap rather than treated as a favourable result.
How the work proceeds
Preserve the state sequence before interpreting change
Follow the evidence through the work
- Evaluation-set provenance and access records
Fix the state, sequence and stopping conditions for the comparison.
- Training, prompt and memory inputs
Preserve this evidence with the version and operating context.
- Direct leakage
Challenge this distinction across the declared change sequence.
- A protected evaluation and claim-repair plan
State which change should trigger another test or operating restriction.
Define state and sequence
Trace evaluation data provenance, access and reuse pathways. The opening step turns the operating concern into a question that can be examined. It would identify a test item or evaluation artefact traced through access, training, memory and optimisation pathways, the outcome the owner cares about and the conditions that would make an observation decision-relevant. Scope changes would remain explicit if the evidence reveals a different problem.
Protect the comparison
Inspect exact and relevant semantic overlap with adaptation material. The comparison material would include training, prompt and memory inputs, with selection history and held-out comparisons available to explain the operating conditions. Differences between test familiarity and transferable behaviour would remain visible beside the observation rather than disappear into a pooled result.
Observe change and failure
Compare exposed and protected task behaviour under controlled conditions. The review question would explicitly distinguish direct leakage from repeated selection. A material discrepancy would be traced back to evaluation-set provenance and access records and the relevant execution or decision record, so a proposed change addresses the observed cause rather than the most convenient explanation.
Set the next operating decision
Qualify affected claims and design refreshed evaluation governance. The resulting protected evaluation and claim-repair plan would explain the distinction between suspected overlap and established contamination and identify what further observation would change the recommendation. The agent operating owner would retain the decision, including whether a narrower scope or a different approach is preferable.
Illustrative scenario
Familiar release cases: examine what changes the decision
Examine the constructed decision boundary
Illustrative scenario
- Familiar release cases
Successful examples retained by the agent resemble evaluation tasks.
- Exposure tracing
Inspect provenance and confirmed overlap, then compare protected cases.
- Claim boundary
Distinguish established contamination from similarity with another explanation.
A fictional adaptive agent stores successful task examples and later encounters similar cases in a release evaluation. The proposed analysis would trace item provenance, inspect overlap and compare protected cases where available. It would distinguish confirmed exposure from similarity that has another explanation. The result would identify which claims remain usable and how future evaluation assets should be protected.
The analysis might confirm that some evaluation examples entered memory while others remained protected. Results would be separated accordingly, and the affected historical claim would be qualified. Fresh tests could support a new conclusion, but would not erase the exposure that limited the earlier comparison. These are hypothetical decision paths, not observed client outcomes.
Indicative artefacts
Use a protected evaluation and claim-repair plan to make the next action explicit
Every artefact needs an operating use
Illustrative working format
- An evaluation contamination evidence review
- Boundary — evaluation-set provenance and access records.
- A test-asset lineage and exposure register
- Findings about direct leakage.
- A protected evaluation and claim-repair plan
- Action on suspected overlap.
The final artefact set depends on the agreed decision. Useful outputs can include:
- An evaluation contamination evidence review. The working foundation for the question, including relevant definitions, boundaries and assumptions so another reviewer can understand what was examined.
- A test-asset lineage and exposure register. The substantive observations and interpretation, preserving adverse results, disagreement and limitations that affect how the evidence may be used.
- A protected evaluation and claim-repair plan. The connection to action: what the owner could do next, what evidence is still missing and what change would justify revisiting the conclusion.
Scope and authority
Evidence from a sequence cannot establish indefinite behaviour
Keep analytical work separate from decision authority
- Versioned states and controlled sequences
- Can include an evaluation contamination evidence review.
- Agent operating owner
- Operating owners authorise experiments, deployment changes and stop conditions.
- Indefinite reliability or alignment guarantees
- Cannot be inferred from a test-asset lineage and exposure register.
These methods provide bounded behavioural evidence, not proof of indefinite reliability, alignment or beneficial self-improvement. Research simulations are not operating history. Active tests require authorised environments, competent reviewers and agreed stop conditions; the customer retains deployment and risk decisions. To discuss evaluation contamination detection, the first practical step is to identify the relevant owner and bring a sanitised description of the decision, the current alternative and the material uncertainty. That gives scoping a concrete starting point without implying a preapproved package or favourable conclusion.
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