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arXiv 2610.05114 · cs.CL · 2026-10-04

Belief-Trajectory Energy: Measuring the Path to a Prediction

Jiahao Ying, Wei Tang, Boxian Ai, Yaoning Wang, Haotian Chen, Wenhe Sun, Caijun Xu, Haozhan Cai and 2 more

Affiliation unverified

In latest · #391 Added on 2026-10-25

One-line takeaway

Belief-Trajectory Energy measures how an LLM revises its predictions layer by layer rather than only the final output, grounded in Fisher-Rao geometry, and serves as a model-relative difficulty signal on reasoning tasks.

BTE(信念轨迹能量)衡量大模型在各层逐步修正预测的过程,而不只看最终输出,理论上对应 Fisher-Rao 几何下的预测修正,可作为推理任务难度信号。

15HF upvotes
–GitHub stars
0Citations (Semantic Scholar)
29.4Buzz score

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About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

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