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Paper

Avoiding Premature Collapse: Adaptive Annealing for Entropy-Regularized Structural Inference

by Yizhi Liu arxiv/2601.23039

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31.8

S: Semantic 50

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A: Authority 0

P: Popularity 0

R: Recency 49

Q: Quality 60

Tech Context

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Differentiable matching layers and residual connection paradigms, often implemented via entropy-regularized Optimal Transport (OT), serve as critical mechanisms in structural prediction and architectural scaling. However, recovering discrete permutations or maintaining identity mappings via annealing $ε\to 0$ is notoriously unstable. In this work, we identify a fundamental mechanism for this failure: \textbf{Premature Mode Collapse}. By analyzing the non-normal dynamics of the Sinkhorn fixed-...

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Paper Information Summary
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Registry ID	2601.23039
License	arXiv
Provider	arxiv

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BibTeX

@misc{arxiv_2601_23039,
  author = {Yizhi Liu},
  title = {Avoiding Premature Collapse: Adaptive Annealing for Entropy-Regularized Structural Inference Paper},
  year = {2026},
  howpublished = {\url{https://arxiv.org/abs/2601.23039}},
  note = {Accessed via Free2AITools.}
}

APA Style

Yizhi Liu. (2026). Avoiding Premature Collapse: Adaptive Annealing for Entropy-Regularized Structural Inference [Paper]. Free2AITools. https://arxiv.org/abs/2601.23039

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⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0

Popularity (P) 0

Recency (R) 49

Quality (Q) 60

💬 Index Insight

FNI V2.0 for Avoiding Premature Collapse: Adaptive Annealing for Entropy-Regularized Structural Inference: Authority (A:0), Popularity (P:0), Recency (R:49), Quality (Q:60). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"Differentiable matching layers and residual connection paradigms, often implemented via entropy-regularized Optimal Transport (OT), serve as critical mechanisms in structural prediction and architectural scaling. However, recovering discrete permutations or maintaining identity mappings via annealing $ε\to 0$ is notoriously unstable. In this work, we identify a fundamental mechanism for this failure: \textbf{Premature Mode Collapse}. By analyzing the non-normal dynamics of the Sinkhorn fixed-..."

❝ Cite Node

@article{Liu2026Avoiding,
  title={Avoiding Premature Collapse: Adaptive Annealing for Entropy-Regularized Structural Inference},
  author={Yizhi Liu},
  journal={arXiv preprint arXiv:2601.23039},
  year={2026}
}

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Yizhi Liu

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📅1970Published

⏱️49RecencyFNI pillar

✅60QualityFNI pillar

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🆔 Identity & Source

id: 2601.23039
slug: 2601.23039
source: arxiv
author: Yizhi Liu
license: arXiv
tags: arxiv:cs.LG, arxiv:cs.AI

⚙️ Technical Specs

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params billions: null
context length: null
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