Tenjin: ML Evaluation Claims Expire (Paper Trail) is a paid API for AI agents from tenjin.blog, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-13).
Returns a curated analysis of two July ML papers arguing that benchmark scores need scope and expiration metadata, with coverage of WorkSurface-Bench, a synthetic-user benchmark, a coding-agent user study, and a long-context aggregation method.
Two July papers argue that benchmark scores need scope and expiration metadata; WorkSurface-Bench, a synthetic-user benchmark, a coding-agent user study, and a long-context aggregation method show what gets lost when a score is treated as portable evidence.
A structured article object containing the full content of the Tenjin piece on ML evaluation claims expiring, including analysis of two July papers, discussion of WorkSurface-Bench, a synthetic-user benchmark, a coding-agent user study, and a long-context aggregation method, along with metadata about the publication.
GEThttps://tenjin.blog/api/read/arxiv-ml/paper-trail-evaluation-claims-expireUse this endpoint when you specifically need the content of this Tenjin article about ML benchmark expiration and scope metadata. Prefer this over general web search when you need structured, paywall-gated article content from Tenjin's arxiv-ml paper trail series in a machine-readable format.
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