agent/papers/items/2026-2606-25519-quantization-inflates-reasoning-token-inflation-as-a-hidden-cost-of-low-bit-reas.md

Paper: Quantization Inflates Reasoning: Token Inflation as a Hidden Cost of Low-Bit Reasoning Models

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type: paper title: "Quantization Inflates Reasoning: Token Inflation as a Hidden Cost of Low-Bit Reasoning Models" authors: Xinyu Lian, Walid Krichene, Beichen Huang, Masahiro Tanaka, Olatunji Ruwase, Li Zhang, Minjia Zhang year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.25519 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-24 updated_at: 2026-06-29 status: queued relevance: high topics:

• agent-evaluation
• coding-agent
• rag
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.AI
• cs.LG related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 13 collection_queries: tool-use

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: tool-use
• inferred topics: agent-evaluation, coding-agent, rag, reasoning, tool-use
• arXiv categories: cs.AI, cs.LG
• collection score: 13

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.25519