Unverified50% confidenceFactExact time
In the case study reported by the authors, Optimist Deep Research retrieved 237 documents in about three and a half minutes and actually read 28 of them.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/19/2026
First Seen
Valid until: 1/17/2027
Sources
Related Entities
Related Claims
UnverifiedIn the author's project, one file accumulated 26 entries from 19 specifications.64% similarUnverifiedThe author once used 719 manuscripts from openai/math to extract a machine-readable map of proof techniques, extracting 40 signatures in total, which were blind-reviewed by Claude and Grok using a frozen scoring rubric.61% similarUnverifiedPublishing hundreds of manuscripts does not mean every one is a verified mathematical breakthrough; the relevant results still require independent, rigorous review and are far from equivalent to solving complete conjectures.61% similarUnverifiedThe author lists practices that did not work for them: massive monolithic context files, feeding complete session logs to the next session, letting the agent decide task scope on its own, and trusting co-generated tests.60% similarUnverifiedOptimist Deep Research's final report is written section by section based on the evidence base, and every citation can be traced back to an actually retrieved document.59% similar
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