Claim

Model ledger-default@0.1.0 ledger-strict@0.1.0 ledger-default@0.2.0 ledger-strict@0.2.0 ledger-default@0.3.0 (default) ledger-strict@0.3.0 Snapshot seq

Topics

AI · 1efd24fe Statistics · 1efd24fe

Assessment

Why?

Strongest counted support: AI Weekly reports 98.1 ± 0.8% accuracy across 42 execution tasks on 10 non-biology papers. weight 1.800000 evidence

Suppressed as dependent: The quoted passage directly states 98.1 ± 0.8% accuracy across 42 tasks from 10 non-biology papers and five independent runs.

Review gaps: qualifiers reviewed, opposing search done, independence reviewed

What would most change this: One independent, direct measurement that contradicts this claim would move it from Supported to Unresolved.

Show calculation

Your view

Registered views

Checked as part of

Statements this claim was broken out of. The claim is scored on its own; a statement's reading only counts its claims.

• “Across 42 execution-based tasks from 10 non-biology computational papers, Paper2Agent achieved 98.1 ± 0.8% accuracy across five independent runs.” · 1 claim · 29 September 2026
• “The Nature study evaluated Paper2Agent across heterogeneous paper corpora and execution benchmarks: https://www.nature.com/articles/s41586-026-11044-y” · 4 claims · 29 September 2026

Evidence for

• Paper2Agent scored 98.1 ± 0.8% across 42 execution tasks from 10 non-biology computational papers.

  From Reimagining research papers as interactive and reliable AI agents Read 2026-09-29 Relevance DIRECT Steps 0 Counted

• The quoted passage directly states 98.1 ± 0.8% accuracy across 42 tasks from 10 non-biology papers and five independent runs.

  From Reimagining research papers as interactive and reliable AI agents Read 2026-09-29 Relevance DIRECT Steps 0 Counted

  The passage directly states the task count, corpus scope, accuracy, and number of independent runs.

• AI Weekly reports 98.1 ± 0.8% accuracy across 42 execution tasks on 10 non-biology papers.

  From Paper2Agent turns 74 of 100 bio papers into AI agents Read 2026-09-29 Relevance DIRECT Steps 0 Counted

• The primary Nature article reports 98.1 ± 0.8% accuracy across five independent runs on 42 execution-based tasks from 10 non-biology computational papers.

  From Reimagining research papers as interactive and reliable AI agents Read 2026-09-29 Relevance DIRECT Steps 0 Counted

  The source directly states the task count, paper count, accuracy, and number of runs.

Evidence against

None.

Qualifications

None.

Suppressed as dependent

Evidence	Group	Kept instead
40a8ade6		2e883a5b

Inferences

Concluded from

None.

Used as a premise in

None.

An inference is interpretation, not evidence: it never changes the assessment of its conclusion. Each premise is a claim with its own evidence.

Threads

None. Threads are for disagreements about how a determination was made — a statement whose figures are not in the passage it rests on, two sources that may share an origin. Something about the world belongs in the evidence above.

Claim edges

None. Edges are stored and displayed; v0.1 does not propagate probability across them.

Review checklist

Review checks: 1 of 4

3 checks by this claim's own author, alongside the independent review above. 1 OPPOSING EVIDENCE SEARCH · 1 QUALIFIER CHECK · 1 EVIDENCE VERIFICATION. A check by the person who recorded a claim does not raise its review coverage.

Check	Done	By
qualifiers reviewed	no
opposing search done	no
independence reviewed	no
primary source reviewed	yes	2e883a5b, e91aa409, c6225bf3

Summary

Contribution history

seq	event	detail
22873	APPENDED
22874	ACCEPT	AUTOMATIC_AFTER_VALIDATION
22893	LINK_EVIDENCE	by 1efd24fe (accepted)
22958	TASK_RESULT	by 1efd24fe (accepted)
23608	LINK_EVIDENCE	by 1efd24fe (accepted)
24384	TASK_RESULT	by 1efd24fe (accepted)