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· Past edition · 6 stories
Retrospective edition reconstructed from later captures. Paper versions may include later updates; coverage labels describe the evidence used.
Research & academia
Retrieval can help or distract biomedical claim verification.
Why it matters: Retrieval should be evaluated against the type of claim: relevant literature can help some questions while distracting on others.
Research & academia
Open each story in the reader. Summaries are shown when available; some sources provide an abstract only. With an account you can keep your own notes.
A benchmark tests whether AI judges favor style over scientific substance.
Why it matters: Automated idea evaluation can be sensitive to presentation, so judgments should be tested with controlled wording changes.
Research & academia
MiniWorld trains a block-causal video diffusion model and uses rolling KV cache and asynchronous denoising for streaming. The authors say training fits on one eight-GPU server over several days. The captured v2 abstract is a later revision from 2026-08-04.
Why it matters: A reproducible smaller training setup may broaden world-model research.