LayerRecall: A State-Conditioned Memory Router for Long-Horizon Consistency in Video Generation
Autoregressive video diffusion enables scalable long-video generation by producing chunks from a bounded recent context. While recency-based caching preserves local continuity, it evicts historical cues needed when subjects, objects, scenes, or attributes reappear. Existing memory mechanisms expose models to nonlocal history, but access alone does not ensure effective use. Our analysis reveals that video DiT layers exhibit distinct preferences for current, recent, and distant context, suggesting that long-range memory requires deciding both what to retrieve and where to use it. We introduce La
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 52%Exploring continual learning without replay buffers: Our findings using dynamic task-similarity routing [P] →
- FuzzySimilar title/name (fuzzy) · 84%Thysrael/Horizon →
“Fuzzy title match (0.92): “LayerRecall: A State-Conditioned Memory Router for Long-Hori” ≈ “Thysrael/Horizon””
- FuzzyOverlapping authors or contributors · 62%Kong/kong →
“Shared author/contributor keys: kong”
- FuzzySimilar title/name (fuzzy) · 59%Developer-Y/cs-video-courses →
“Fuzzy title match (0.73): “LayerRecall: A State-Conditioned Memory Router for Long-Hori” ≈ “Developer-Y/cs-video-courses””
- FuzzySimilar title/name (fuzzy) · 59%BlockRunAI/ClawRouter →
“Fuzzy title match (0.73): “LayerRecall: A State-Conditioned Memory Router for Long-Hori” ≈ “BlockRunAI/ClawRouter””
- LinkedLinked via arxiv author · 85%Yixuan Ding →
“LayerRecall: A State-Conditioned Memory Router for Long-Horizon Consistency in Video Generation”
- LinkedLinked via arxiv author · 85%Jiahao Kong →
“LayerRecall: A State-Conditioned Memory Router for Long-Horizon Consistency in Video Generation”
- LinkedLinked via arxiv author · 85%Shuwei Huang →
“LayerRecall: A State-Conditioned Memory Router for Long-Horizon Consistency in Video Generation”