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AI is dramatically lowering the cost of reading papers, writing code, and running experiments. But as research output explodes, telling which results can be trusted keeps getting harder. CiteArk connects the claims in scientific papers with their experimental conditions, execution process, result evidence, and verification records, so researchers and agents can verify claims, reuse experimental results, and build follow-up research on them instead of repeating work. We hope these trustworthy research records will grow into a scientific foundation that researchers, labs, and agents can all build on together.

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The recipe is evaluated across Qwen2.5, Zephyr, and Gemma backbones only at the 3B-9B scale; transfer to substantially larger models remains untested. · CiteArk

When and How Should an Agent Clarify? CIGAsk: Teaching LLMs to Clarify via Counterfactual Information Gain

Not assessedNo independent reproduction scheduledLimitationlimitation-scale-001

The recipe is evaluated across Qwen2.5, Zephyr, and Gemma backbones only at the 3B-9B scale; transfer to substantially larger models remains untested.

Source: paper:PDF p. 8, Limitations

Reported and observed measurements

No structured measurement is attached to this Claim.

Assessments (0)

No immutable Assessment has been published for this Claim yet.

Runs (0)

No execution has been linked to this Claim yet.

Research Plan identity

Claim version: sha256:ef513aba12664b5d7f99b4e9fd4f2311e73442918182de196ad871cfaa2ae47c
Planned experiments: 0
Evidence objects: 0

The absence of experiments above 9B is an explicit scope limitation, not a positive empirical result to test by substituting an unreported larger model.

Machine-readable Claim

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