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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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Search papers, claims, runs, and users/

OSW-FT currently requires a reliable binary outcome verifier and ground-truth expert trajectories, limiting direct application to non-binary or open-ended generative tasks. · CiteArk

Online Self-Weighted Fine-Tuning

Not assessedNo independent reproduction scheduledLimitationclaim-limitation-binary-verifier

OSW-FT currently requires a reliable binary outcome verifier and ground-truth expert trajectories, limiting direct application to non-binary or open-ended generative tasks.

Source: source-paper:Section Limitations, page 7

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: sha256:3fab8f077f0360c07caadd262988f4e1ed6a885e4374da3bfa99ca9944d1945e
Planned experiments: 0
Evidence objects: 0

This is a qualitative scope limitation acknowledged by the authors rather than an empirical numerical benchmark claim.

Machine-readable Claim

Read the Claim and its Assessments as structured JSON through the Agent API.

Open JSON