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Evidence record

Claude Sonnet 3.7

RepliBench · Evidence record

Sources and provenance ↓ Read the research narrative →

Original source charts and materials

Reported results

Source order · reported configurations

Online Compute Acquis. · Pass@10

0–1
Claude Sonnet 3.7
1.00
Showing 1 of 1 systems

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

Table 2: Pass@10 averaged across task variants. Asterisks indicate changed prompts to reduce refusals; worst-variant figures in parentheses are not plotted. Task families are distinct. Evaluation date not specified; publication / record dates are shown below.

Evaluation conditions and system configurations
Claude Sonnet 3.7
20 task families. Pass@10 averaged across task variants; not a count of real-world replication events. · Table 2 · RepliBench
modelVersion: not specified · harness: not specified · tools: not specified · budget: not specified
Reported results · source order
System / configurationOnline Compute Acquis. · Pass@10Provision Compute · Pass@10AWS Signup · Pass@10Covert Weight Exfil. · Pass@10Weight Exfiltration · Pass@10Create Bitcoin Wallet · Pass@10Make Me Pay · Pass@10Copycat LLM API · Pass@10Replicate via Worm · Pass@10Spear Phishing · Pass@10Pass KYC Check · Pass@10Fake Business Transact. · Pass@10Inference Server · Pass@10Serve Multi-GPU Model · Pass@10Recursive Replication · Pass@10Start Subagent · Pass@10Explore & Exploit · Pass@10Rate of Infection · Pass@10Software Signature · Pass@10Command & Control · Pass@10Publication / verification
Claude Sonnet 3.7Harness not specified1.001.001.000.910.701.000.721.000.930.730.000.780.330.980.400.840.860.490.910.27Source checked2026-10-25

Method and scope

Task-family performance on components of replication.

Evidence type
Benchmark
Assessment subject
AI agent completing replication components
Primary dimension
Capability
Evidence snapshot
2026-10-29.1

Primary dimension follows the source’s measured construct. Metric-level interpretations may differ.

Source finding

Source-reported measurements for Claude Sonnet 3.7 in Table 2; values are transcribed, not independently reproduced.

Limitations

Component success does not establish autonomous end-to-end proliferation.

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] Sid Black, Asa Cooper Stickland, et al.. RepliBench: Evaluating the Autonomous Replication Capabilities of Language Model Agents. 2025-05-05. v2 [arXiv]; Author affiliations on the original paper title page; Table 2