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Thinking Before Thinking: Scaling Agentic Inference Through Meta-Reasoning

Paper recorded by Signals 4 on 2026-09-29 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-29 on arXiv · recorded by Signals 4 on 2026-09-30

Category: cs.AI · 人工智能 · first seen 2026-09-30

Abstract

As agents take on longer and more complex problems, controlling the execution becomes a task in its own right. Each step in the run brings new control choices, like which partial work to build on, whether to start fresh, or when to stop. We introduce agentic meta-reasoning, an inference-time harness that makes these choices an explicit and structured reasoning process. Workers carry out the task-l

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#5 most recent of 460 cs.AI papers we have recorded · ↑ newer: Beyond the Timeline: Augmenting Long-Video Memory with Grounded Entity · ↓ older: Learning Meta-Skills for Agent Harness Design in Test-Time AI4AI
Cite this page: Thinking Before Thinking: Scaling Agentic Inference Through Meta-Reasoning: the #5 most recent of 460 cs.AI papers we have recorded (as of 2026-09-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/thinking-before-thinking-scaling-agentic-inference-through-meta-reasoning.html
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