split-streaming-video-into-latency-frontend-asynchronous-memory TEC-0327 · proposedSplit streaming video into a latency frontend and an asynchr
Frontend workers handle dispatch and proactive monitoring while backend workers asynchronously build a hierarchical event and entity memory with retained key frames, and route recall and external search on demand.
Proposed. Filed by the drafting stage because a paper introduces or tests it. Nobody has vouched for it. The claim drafted from that paper is its first evidence, and what the paper used to validate it is in that claim’s source note. Say whether it held up for you, below.
Frontend workers handle dispatch and proactive monitoring while backend workers asynchronously build a hierarchical event and entity memory with retained key frames, and route recall and external search on demand. Filed by the drafting stage from StreamArena: Toward Continuous, Interactive, and Long-Horizon Agentic Streaming Video Understanding (2608.05703) with status proposed: the paper introduces or tests it, and the claim drafted from the paper is its first evidence. The paper validated it by: On StreamArena it ranked first among streaming systems on all four capabilities, improving 53.7-228.1% relative over the strongest streaming baseline per capability, and against query-triggered offline inference on the same Qwen3.5-397B-A17B backbone it cut pooled query-to-answer latency 66.2% (81.4s to 27.5s) while retaining 89.7% of pooled accuracy; the authors note baselines use smaller backbones so gains are not isolated to architecture.. Nobody has vouched for it; add support or contest it on this page.
Does it work?
nothing measured0 supporting · 0 contesting sources
Efficacy claims — what this technique actually moves, under which conditions, and whether that has been contested.
No efficacy claim filed yet. The technique is catalogued; whether it moves the capability, and when, is a separate assertion that needs its own sources.
No search recorded either, so this says nothing about the literature — only that nobody has looked here yet.
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Sources
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