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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 comparison of current agent runtimes summarizes capabilities they target or establish under stated assumptions; it is stated coverage rather than a set of proven guarantees, and none of the systems forms a clean cumulative hierarchy. · CiteArk

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

Not assessedNo independent reproduction scheduledLimitationclaim-runtime-review-status

The comparison of current agent runtimes summarizes capabilities they target or establish under stated assumptions; it is stated coverage rather than a set of proven guarantees, and none of the systems forms a clean cumulative hierarchy.

Source: paper:PDF pp. 6-7, Section 3.2 and Table 3; Markdown blocks p6-b63 and p7-b65-p7-b66

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: sha256:2ed0ed27f17a7e635e2102e391907828b0e446bb37f93506b5cd55f5be30e3da
Planned experiments: 0
Evidence objects: 0

This is a limitation on interpreting the six literature-review rows: they summarize stated coverage rather than proven guarantees. It is retained as a control condition for the deferred runtime comparisons, not treated as an independently verifiable numeric result.

Machine-readable Claim

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