VideoSlate: Stateful Commit Control for Temporally Grounded Agentic Video Reasoning

Key points

• New candidates and observations prompt reassessment of the current span, but revisions can correct localization errors or discard useful evidence already present in the adopted span.1
• Systems therefore need to connect evidence organization across stages with temporal state control, allowing accumulated information to jointly inform revision assessment while explicit adoption decisions govern how assessment outcomes affect downstream visual evidence.1
• We introduce VideoSlate, a stateful commit-control framework built around shared evidence.1
• Extensive evaluations across video grounding and grounded question-answering benchmarks show that VideoSlate can improve temporal localization through selective revision.1

Sources (1)

• [1]VideoSlate: Stateful Commit Control for Temporally Grounded Agentic Video Reasoning
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 12, 08:13 AM

  Agentic video reasoning systems gather and assess video evidence across stages, selecting relevant spans as visual evidence for answering questions.

  New candidates and observations prompt reassessment of the current span, but revisions can correct localization errors or discard useful evidence already present in the adopted span.

Extractive summary: sentences quoted from the sources.