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· Past edition · 8 stories
Retrospective edition reconstructed from later captures. Paper versions may include later updates; coverage labels describe the evidence used.
Research & academia
A study looks beyond final scores in long-horizon AI research tasks.
Why it matters: Process traces can reveal failure modes that a final benchmark score conceals.
Research & academia
DreamX-Phi encodes robot-arm motion, adds scene depth and object-consistency signals, and distills its generator into a faster student.
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.
Why it matters: Motion fidelity matters alongside visual realism in robot world models.
Research & academia
PlayWorld uses multimodal agent players across 171 scenarios to evaluate properties including spatial consistency and persistent state. The captured v2 abstract is a later revision from 2026-08-14.
Why it matters: Interactive objectives can expose failures missed by fixed action sequences.