mlsanityData to 7 Oct 2026

LCM: Lossless Context Management

arXiv 2605.04050 ↗First posted 14 Feb 2026cs.AI cs.PL cs.SEcited by 3

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Abstract (arXiv)

We introduce Lossless Context Management (LCM), a deterministic architecture for LLM memory that outperforms Claude Code on long-context tasks. When benchmarked using Opus 4.6, our LCM-augmented coding agent, Volt, achieves higher scores than Claude Code on the OOLONG long-context eval, including at every context length between 32K and 1M tokens. LCM may be considered both a vindication and extension of the recursive paradigm pioneered by Recursive Language Models (RLMs). Our results demonstrate that recursive context manipulation can outperform not just conventional LLMs, but frontier coding agents with native file-system access. LCM departs from RLM by decomposing symbolic recursion into two deterministic, engine-managed mechanisms: recursive context compression, in which a hierarchical summary DAG automatically compacts older messages while retaining lossless pointers to every original; and recursive task partitioning, in which engine-managed parallel primitives like LLM-Map replace model-written loops. This trade-off, analogous to the move from GOTO to structured control flow in program-ming language design, sacrifices maximal flexibility for termination guarantees, zero-cost continuity on short tasks, and lossless retrievability of all prior state.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 2 of its 8 references that are in the map. First posted on arXiv 14 Feb 2026.

Builds on

2 of 8 references.

References · 2

  1. 2025Recursive Language Modelscited by 94
  2. 2025Oolong: Evaluating Long Context Reasoning and Aggregation Capabilitiescited by 33

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Citing papers per year: 2026: 3.

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  1. 2026Contextual Memory Virtualisation: DAG-Based State Management and Structurally Lossless Trimming for LLM Agents
  2. 2026Memory as Infrastructure: Reliability Engineering for Persistent Agent Memory in Months-Long LLM-Assisted Development
  3. 2026Compact-Memory LLM Agents via Online Max-Member Clustering and Atom-Aware Packing
  4. 2026Latent Context Compilation: Distilling Long Context into Compact Portable Memory
  5. 2024PIMphony: Overcoming Bandwidth and Capacity Inefficiency in PIM-based Long-Context LLM Inference System
  6. 2026Fix the Structural Bottleneck: Context Compression via Explicit Information Transmission
  7. 2024Recurrent Context Compression: Efficiently Expanding the Context Window of LLM
  8. 2026Shared Selective Persistent Memory for Agentic LLM Systems