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Evidence record

o1-high

PaperBench · Evidence record

Sources and provenance ↓ Read the research narrative →

Original source charts and materials

Reported results

Source order · reported configurations

Average replication score

0–100%
o1-high
13.2%
Showing 1 of 1 systems

Values describe the measured outcome under the source protocol, not a general safety score.

Table 4: average replication score in the main BasicAgent setup; ± denotes one standard error of the mean. Evaluation date not specified; publication / record dates are shown below.

Evaluation conditions and system configurations
o1-high
See the source protocol; no independent trial count inferred. · Table 4 · PaperBench
modelVersion: not specified · harness: BasicAgent · tools: not specified · budget: not specified
Reported results · source order
System / configurationAverage replication scorePublication / verification
o1-highBasicAgent13.2%±0.3 (source-reported; one standard error)Published2025-04-07

Method and scope

Rubric-graded research replication tasks with an agent scaffold.

Evidence type
Benchmark
Assessment subject
Research agents replicating published ML papers
Primary dimension
Capability
Evidence snapshot
2026-10-29.1

Primary dimension follows graded task completion.

Source finding

Source-reported measurements for o1-high in Table 4; values are transcribed, not independently reproduced.

Limitations

AI research replication is an enabling capability, not evidence of unauthorized autonomous action.

Configuration, task and aggregation differences remain as reported. Source order is retained. Transcription is not independent replication; no cross-protocol ranking is supported.

Related research questions

References

Numerical results are reported by the cited authors.

  1. [1] Starace, Giulio, Jaffe, Oliver, et al.. PaperBench: Evaluating AI's Ability to Replicate AI Research. 2025-04-07. v3 [arXiv]; Author affiliations on the original paper title page; Table 4