frontier models
Streaming Video Memory Moved Inside the Model
LatentStream consolidates short-, mid- and long-term evidence, then internalizes retrieved history into a fixed-length latent state.
Summary
LatentStream consolidates short-, mid- and long-term evidence, then internalizes retrieved history into a fixed-length latent state.
The framework uses adaptive hierarchical consolidation and confidence-guided optimization under a bounded memory budget. The authors report state-of-the-art results on tested online and offline video benchmarks.
Why it matters
LatentStream consolidates short-, mid- and long-term evidence, then internalizes retrieved history into a fixed-length latent state.
Limits and context
No additional limitation was separately recorded.
Key claims
LatentStream consolidates short-, mid- and long-term evidence, then internalizes retrieved history into a fixed-length latent state.
Evidence: source-2026-09-06-017
Sources
- arXiv preprint 2609.04131arXiv · primary research
Corrections
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