arXiv (All)
open access
TRACE: Temporal Audit and Condition-aware Evaluation of Streaming Video Understanding
Streaming video understanding requires models to interpret evidence as it arrives, yet current evaluations often report task scores without specifying when evidence becomes valid, how visual history is maintained, or how responses are triggered. As a result, similar scores may correspond to differen
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- What Should a Streaming Video Model Remember?#1117469
- AVTrace: Diagnosing Audio-Visual Temporal Reasoning in Omni Models#1033773
- CoFiE: Coarse-to-Fine Evidence Selection for Efficient Streaming Video Understanding#926570
- Training-Free Temporal Abstraction for General Video Understanding#781207
- Training-Free Temporal Abstraction for General Video Understanding#779832
Record · ID 1105229
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive