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An Empirical Cost Attribution of Context-Compression Gateways in Multi-Turn Coding Agents
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Empirical study reveals context compression in multi-turn coding agents fails to guarantee expected LLM cost reductions.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 22 September 2026
- Collected by OneBench
- 23 Sept 2026, 03:01 UK
Stored source excerpt
arXiv:2609.22114v1 Announce Type: new Abstract: Context compression is widely proposed as a way to cut the token bill of LLM coding agents, and public benchmarks…
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