SPIN Unprocessed
Source arXiv Machine Learning export.arxiv.org Analyst
October 27, 2026 ai_technology research

Benchmarks Are Surprisingly Compaction-Friendly

View original on arxiv.org

Overview

arXiv:2610.31778v1 Announce Type: new Abstract: Long horizon agentic tasks are now pushing LLM agents past their context window. To continue the task, the agent scaffold has to free up the context window, a process known as context compaction. Compaction is generally lossy by design: agents can silently lose task constraints, instructions, or their reasoning behind earlier decisions. Although compaction is a standard component of coding agent scaffolds, it has not been studied systematically wit

SpinGraph analysis pending — check back after processing.

Ask AI about this story

Opens with the SpinGraph .md URL and structured context — one click, prompt included.

More from arXiv Machine Learning

View all →

Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO