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ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Lo

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13 May
Hindsight Hint Distillation: Scaffolded Reasoning for SWE Agents from CoT-free Answers

arXiv:2605.11556v1 Announce Type: new Abstract: Solving complex long-horizon tasks requires strong planning and reasoning capabilities. Although datasets with explicit

REPORT · WHAT · ArXiv CS.AIOPEN STORY
14 Apr
MEMENTO: Teaching LLMs to Manage Their Own Context

arXiv:2604.09852v1 Announce Type: new Abstract: Reasoning models think in long, unstructured streams with no mechanism for compressing or organizing their own intermediate state.

REPORT · HOW · ArXiv CS.AIOPEN STORY
2 May
In-Context Prompting Obsoletes Agent Orchestration for Procedural Tasks

arXiv:2604.27891v1 Announce Type: new Abstract: Agent orchestration frameworks -- LangGraph, CrewAI, Google ADK, OpenAI Agents SDK, and others -- place an external orchestrator

REPORT · WHAT · ArXiv CS.AIOPEN STORY
25 Apr
Adaptive Test-Time Compute Allocation with Evolving In-Context Demonstrations

arXiv:2604.21018v1 Announce Type: new Abstract: While scaling test-time compute can substantially improve model performance, existing approaches either rely on static compute

REPORT · WHERE · ArXiv CS.AIOPEN STORY
21 Apr
When the Loop Closes: Architectural Limits of In-Context Isolation, Metacognitive Co-option, and the Two-Target Design Problem in Human-LLM Systems

arXiv:2604.15343v1 Announce Type: cross Abstract: We report a detailed autoethnographic case study of a single-subject who deliberately constructed and operated a multi-modal

REPORT · WHO · ArXiv CS.AIOPEN STORY
2 Jul
Self-GC: Self-Governing Context for Long-Horizon LLM Agents

arXiv:2607.00692v1 Announce Type: new Abstract: Long-horizon LLM agents accumulate tool results, files, plans, and user constraints that are too structured to be treated as a

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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