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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 annotation measurements describe only the reachable remote subset of the official registry snapshot; unreachable servers and package- or stdio-only servers may have different annotation behavior. · CiteArk

When Tool Calls Succeed but Workflows Fail: Anomalies at the Agent–Tool Boundary

Not assessedNo independent reproduction scheduledLimitationclaim-census-reachability-limit

The annotation measurements describe only the reachable remote subset of the official registry snapshot; unreachable servers and package- or stdio-only servers may have different annotation behavior.

Source: paper:PDF p. 9, Section 5, Sampling and methodology; Markdown block p9-b90

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:d4454fc7b5d35c33380dacc1f152a3cca6a624c67dc7ec980412e4fde81fcc60
Planned experiments: 0
Evidence objects: 0

This limitation follows from the fixed remote-only sampling frame and qualifies the planned measurements; it is not a separate result to test. The plan retains the 9,454 package/stdio-only and unreachable populations outside the annotation denominators.

Machine-readable Claim

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