Compared to this week’s papers
Stale evidence
Claims: 0
References: 0
Proof: unverified
Freshness: stale
Source paper: Attend Before Attention: Efficient and Scalable Video Understanding via Autoregressive Gazing
PDF: https://arxiv.org/pdf/2603.12254v1
Source count: 0
Coverage: 33%
Last proof check: 2026-03-19T18:48:05.835633Z
Canonical paper trust state plus paper-specific synthesis and commercialization judgment.
Paper mode stays anchored to the canonical paper kernel before it broadens into citations and next actions.
Paper mode stays anchored to the canonical paper kernel before it broadens into citations and next actions.
Shared `source_context` now powers Build Loop, Talent, workspace saves, and browser deep links.
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
Canonical paper receipt
distribution readiness has not been computed yet
repo_url
Freshness: stale
Proof: unverified
Repo: missing
Coverage: 33%
References: 0
Sources: 0
Lineage: not recorded
Last verification: 3/19/2026, 6:48:05 PM
Canonical Paper Receipt
distribution readiness has not been computed yet
repo_url
Freshness: stale
Proof: unverified
Repo: missing
Coverage: 33%
References: 0
Sources: 0
Lineage: not recorded
Last verification: 3/19/2026, 6:48:05 PM
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Dimensions overall score 7.0
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Baifeng Shi
UC Berkeley
Stephanie Fu
UC Berkeley
Long Lian
UC Berkeley
Hanrong Ye
NVIDIA
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