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Parsing the Stream: A Live Trace Model for Long-Horizon Agents and Their Observers

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TL;DR - This paper proposes a live trace model that incrementally folds long-horizon agent events into typed state and generates compact views for agents and human observers. It improves monitoring efficiency and accuracy while providing deterministic, auditable state management.

  • Observer views used roughly 14–15Ă— fewer input tokens and cost 5–7Ă— less than budget-capped raw-trace reading, while improving accuracy from 0.48 to 0.85–0.87.
  • On 120-link sequential-dependency tasks, per-step running-state mechanisms completed 30/30 trials versus 8/30 for full-context prompting.
  • A prompt-level scratchpad matched the fold’s task accuracy at lower cost; the fold’s added benefits are deterministic auditability and shared state for observer views.
  • The authors identify eleven candidate trace-folding requirements and demonstrate an order-sensitive task family where folding no longer helps.

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Parsing the Stream: A Live Trace Model for Long-Horizon Agents and Their Observers

arXiv cs.AI Egor Pakhomov, Erik Nijkamp 2026-09-01 arXiv:2609.01466
Public signals Hugging Face upvotes 0
Providers: Hugging Face · Upvotes 0 OpenAlex · N/A Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-09-25 14:24:55.450488 UTC

TL;DR - This paper proposes a live trace model that incrementally folds long-horizon agent events into typed state and generates compact views for agents and human observers. It improves monitoring efficiency and accuracy while providing deterministic, auditable state management.

  • Observer views used roughly 14–15Ă— fewer input tokens and cost 5–7Ă— less than budget-capped raw-trace reading, while improving accuracy from 0.48 to 0.85–0.87.
  • On 120-link sequential-dependency tasks, per-step running-state mechanisms completed 30/30 trials versus 8/30 for full-context prompting.
  • A prompt-level scratchpad matched the fold’s task accuracy at lower cost; the fold’s added benefits are deterministic auditability and shared state for observer views.
  • The authors identify eleven candidate trace-folding requirements and demonstrate an order-sensitive task family where folding no longer helps.
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