Collapse

Follow this field Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

3 new papers

A weekly snapshot of new work published in Collapse.

Period ending 2026-09-14

6 new papers

A weekly snapshot of new work published in Collapse.

Period ending 2026-09-07

5 new papers

A weekly snapshot of new work published in Collapse.

Inside this field

Focused directions

Focused topic

Collapse

Within Collapse

100 papersExplore

Focused topic

Representation Collapse

Within Collapse

41 papersExplore

Focused topic

Entropy Collapse

Within Collapse

28 papersExplore

Focused topic

Neural Collapse

Within Collapse

27 papersExplore

181 papers

Latest in Collapse

Browse all topics →

GPU-Accelerated Inverse Structural Anastylosis from Block Collapse Dynamics
Jun 23, 2026L. A. MuñozPhysics-Guided Deep Learning Framework Rigid-Body Dynamics
The Gentle Collapse: Distributional Metrics for Continual Learning
Jun 23, 2026Ahmed Anwar, Andreas Wagner, Federico Raue +2Catastrophic Forgetting Retraining
Parallel Manifold Steering: Efficient Adaptation of Large Associative Memories via Residual Energy Shaping
Jun 23, 2026Kanishk AwadhiyaTransformer Residual Streams Dense Associative Memory
When Top-1 Fails: Calibrating LoRA Monitors for Masked Diffusion LMs
Jun 23, 2026Lucky Verma, Pratik YadavDiffusion Language Models Masked Diffusion Language Models
Mass Conservation as an Inductive Bias for Self-Organized Criticality in NCA Reservoirs
Jun 22, 2026Tong Zhang, Etienne Guichard, Sidney Pontes-Filho +1Reservoir Computing Neural Cellular Automata
Model Collapse: On Recursion, Noise, and Uncharted Machine Visions
Jun 22, 2026Violaine Boutet de MonvelCollapse Recursion
RaMem: Contextual Reinstatement for Long-term Agentic Memory
Jun 22, 2026Wei Yang, Bryce Kan, Shixuan Li +5Agent Memory Representation Collapse
All Routes Lead to Collapse
Jun 21, 2026K. R. BalasubramanianSoftmax Attention Representation Collapse
Mitigating Early Training Collapse in CTR Models
Jun 20, 2026Ergun Biçici, Erkan ÇetinyamaçClick-Through Rate Prediction Collapse
Depth-Entropy Guided Sampling for Training-Free LLM Reasoning
Jun 19, 2026Zibin Meng, Peng Xie, Kani ChenLarge Language Model Reasoning Recursive Reasoner
Does Text Actually Help? Uncovering and Resolving Text Collapse in Multimodal Time Series Forecasting
Jun 17, 2026Huu Hiep Nguyen, Minh Hoang Nguyen, Dung Nguyen +1Multimodal Classification Representation Collapse
SFT Overtraining Predicts Rank Inversion via Entropy Collapse Under RLVR
Jun 16, 2026Siddharth Aphale, Kelly LiuEntropy Collapse Deepseek
Data-Forcing Distillation: Restoring Diversity and Fidelity in Few-Step Video Generation
Jun 16, 2026Siyi Chen, Shaowei Liu, Yixuan Jia +4Pre-Trained Video Diffusion Models Large-Scale Video Generation Models
Why SWAVE May Not Be All You Need:A Concept-Evolution Retrospective on Complex-Valued Recurrent Language Models
Jun 16, 2026Ramprasath Ganesaraja, Swathika N, Sahil Dilip PanseRecurrent Model Neural Architectures
Intelligence Entropy Principle and the ADE Stability Engineering Framework
Jun 16, 2026Dexing LiuMulti-Agent Systems Collective Intelligence
Multimodal Evaluator Preference Collapse: Cross-Modal Coupling in Self-Evolving Agents
Jun 15, 2026Zewen LiuSelf-Assessments Pairwise Preferences
Recursively Trained Diffusion Models: Limiting Collapse Distribution and Spectral Characterization
Jun 11, 2026Naïl B. Khelifa, Richard E. Turner, Ramji VenkataramananDistributional Learning Collapse
When Sample Selection Bias Precipitates Model Collapse
Jun 11, 2026Xinbao Qiao, Xianglong Du, Wei Liu +4Selection Bias Data Scarcity
PRISMR: Overcoming Parse Collapse in Multimodal Listwise Ranking via Parameterized Representation Internalization
Jun 11, 2026Hao Jiang, Xin Li, Annan Wang +4Representation Collapse In-Context Learning
Beyond Neural Collapse: Task-Intrinsic Geometry Governs Neural Representations in Modular Arithmetic
Jun 8, 2026Hu Tan, Kuo Gai, Shihua ZhangNeural Collapse Implicit Neural Representations
Estimate Collapsibility of Causal Effects in Completed Partial DAGs via Strong d-Convex Hulls
Jun 8, 2026Yuxin Deng, Yi Sun, Zhiming Li +1Directed Acyclic Graph Convex Sets
Unlocking Latent Value: Taxonomy-Guided Recovery of High-Performing Data from Low-Tier Web Corpora
Jun 5, 2026Neeraj Varshney, Sanket Lokegaonkar, Nasser Zalmout +3Taxonomy Data-Curation
STREAM: Stochastic Riemannian Flow Matching with Anisotropic Decoder for Digital Histopathology Image Generation
Jun 5, 2026Won June Cho, Daeky Jeong, Hyeongyeol Lim +1Medical Image Generation Latent Space
Catastrophic Forgetting as Accessibility Collapse: A Three-Level Framework for Knowledge Persistence in Continual Learning
Jun 4, 2026Ayushman Trivedi, Bhavika MelwaniCatastrophic Forgetting Continual Learning Methods
Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning
Jun 3, 2026Fan Zhang, Sijin Zheng, Fei Ma +4Synthetic Aperture Radar Domain Incremental Learning
LimiX-2M: Mitigating Low-Rank Collapse and Attention Bottlenecks in Tabular Foundation Models
Jun 3, 2026Yuanrui Wang, Xingxuan Zhang, Han Yu +7Tabular Foundation Models Tensor Programs
AAD-1: Asymmetric Adversarial Distillation for One-Step Autoregressive Video Generation
Jun 2, 2026Haobo Li, Yanhong Zeng, Yunhong Lu +6Autoregressive Video Generation Chain-Of-Thought Distillation
Template Collapse and Information-Theoretic Limits in Camera rPPG Pulse Morphology Restoration
Jun 2, 2026Achraf Ben AhmedRemote Photoplethysmography Spectral Reconstruction
Analyzing Stream Collapse in Hyper-Connections: From Diagnosis to Mitigation
Jun 2, 2026Ekaterina Alimaskina, Gleb Molodtsov, Aleksandr BeznosikovResidual Connections Dual-Stream
When RLHF Fails: A Mechanistic Taxonomy of Reward Hacking, Collapse, and Evaluator Gaming
Jun 2, 2026Zelalem Abahana, David Evans, Satish Mahadevan Srinivasan +1Reinforcement Learning From Human Feedback Collapse
Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior
Jun 1, 2026Xiang Li, Dianbo Liu, Kenji KawaguchiGenerative Priors Generative Models
Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging
Jun 1, 2026Tim Nielen, Sameer Ambekar, Johannes Kiechle +2Distribution Shifts Medical Imaging
Conditional Collapse in Sign Language Production: A Diagnostic and a Scaling Argument
Jun 1, 2026Rui Hong, Jana KošeckáSign Language Recognition Sign Language
Recognize Your Orchestrator: An Entropy Dynamics Perspective for LLM Multi-Agent Systems
May 31, 2026Junze Zhu, Weihao Chen, Xuanwang Zhang +2Multi-Agent Systems Orchestration
Relational Intervention During Functional Collapse in Large Language Models: A Lexical-Statistical Ablation and a Structure x Register Factorial
May 31, 2026Franco Santana, Horacio VicoDissociation Ablation
Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence
May 30, 2026Wanying Ren, Xin Song, Futing Wang +2Multimodal Knowledge Editing Collapse
The role of class encoding in neural collapse
May 29, 2026Bastien Massion, Roy Makhlouf, Estelle MassartNeural Collapse Collapse
Generating Reports or Repeating Templates? Measuring and Mitigating Template Collapse in 3D CT Report Generation
May 29, 2026Tom Maye-Lasserre, Yitong Li, Bailiang Jian +3Radiology Report Generation Medical Vision-Language Models
Representation Collapse in Sequential Post-Training of Large Language Models
May 28, 2026Yichen Liu, Mingyu Chen, Hao Wang +7Large Language Model Post-Training LLM Post-Training Methods
Anti Mode-Collapse in Mean-Field Transformer via Auxiliary Variables
May 28, 2026Masaaki Imaizumi, Masanori Koyama, Noboru Isobe +1Positional Encoding Transformer Architectures
A new completely parameter-free clustering algorithm for unsupervised classification of BATSE gamma-ray bursts
May 28, 2026Soumita ModakImage Clustering Unsupervised
Reasoning-preserved Efficient Distillation of Large Language Models via Activation-aware Initialization
May 28, 2026Junlin He, Yihong Tang, Tong Nie +5Chain-Of-Thought Distillation Large Language Model Reasoning
Physics from Video: Identifiability of Time-Invariant Second-Order ODEs under Minimal Trajectory Conditions
May 27, 2026Yuanyuan Wang, Wenjie Wang, Kun Zhang +1Identifiability Ordinary Differential Equations
Semantic Flow Regularization: Teaching LLMs to Generate Diverse Yet Coherent Responses
May 27, 2026Kerui Peng, Feifei Li, Xingyu Fan +1Large Language Model Generation Representation Collapse
What Makes a Medical Checker Trainable? Diagnosing Signal Collapse and Reward Hacking in Checker-Guided RAG for Biomedical QA
May 25, 2026Yuelyu Ji, Min Gu Kwak, Hang Zhang +3Clinical Reasoning Natural Language Inference
Diversity Over Frequency: Rethinking Tool Use in Visual Chain-of-Thought Agents
May 25, 2026Dong-Hee Kim, Reuben Tan, Donghyun KimVisual Reasoning Visual Analytics
Unbiased Diffusion Variational Inversion via Principled Posterior Matching
May 24, 2026Weimin Bai, Yuxuan Gu, Yifei Wang +2Ill-Posed Inverse Problem Inverse Problem
Divide-and-Conquer Inference for Large-Scale Visual Recognition with Multimodal Large Language Models
May 24, 2026Zhipeng Ye, Jiaqi Huang, Feng Jiang +5LLM Inference Efficiency Imagenet
From Full Boards to Tiny Defects: Scale-Aware Tile Inference with Topology-Aware Merging for High-Resolution PCB Defect Detection
May 23, 2026Mohammad Alijanpour Shalmani, Alale Rezvani Boroujeni, Ali Amini +1Scalable Defect Detection Sharp Boundary Delineation
The Implicit Bias of Depth: From Neural Collapse to Softmax Codes
May 21, 2026Connall Garrod, Jonathan P. Keating, Christos ThrampoulidisNeural Collapse Feature Learning
Model Collapse as Cultural Evolution
May 21, 2026Dongxin Guo, Jikun Wu, Siu Ming YiuCollapse Cultural Knowledge
Posterior Collapse as Automatic Spectral Pruning
May 21, 2026Johannes HirnEntropy Collapse Collapse
Survive or Collapse: The Asymmetric Roles of Data Gating and Reward Grounding in Self-Play RL
May 21, 2026Sophia Xiao Pu, Zhaotian Weng, Chengzhi Liu +4Self-Play Collapse
A Mechanistic Study of Tabular Foundation Models
May 20, 2026Marin Biloš, James T. Wilson, Anderson Schneider +1Tabular Foundation Models Ablation
When Does Model Collapse Occur in Structured Interactive Learning?
May 19, 2026Yuchen Wu, Kangjie Zhou, Weijie SuCollapse Generative Models
A Measure-Theoretic Analysis of Reasoning: Structural Generalization and Approximation Limits
May 19, 2026Yuyang Zhang, Yifu Zhang, Xuehai Zhou +1Structural Generalization Large Language Model Reasoning
Neural Collapse by Design: Learning Class Prototypes on the Hypersphere
May 19, 2026Panagiotis Koromilas, Theodoros Giannakopoulos, Mihalis A. Nicolaou +1Learnable Prototypes Neural Collapse
Beyond Mode Collapse: Distribution Matching for Diverse Reasoning
May 19, 2026Xiaozhe Li, Yang Li, Xinyu Fang +10Kullback-Leibler Divergence Autonomous Exploration Strategies
The Economics of Model Collapse: Equilibrium, Welfare, and Optimal Provenance Subsidies in Synthetic Data Markets
May 19, 2026Gustav Olaf Yunus Laitinen-Fredriksson Lundström-ImanovSynthetic Data Distributional Fidelity
A Simplex Witness Certificate and Escape Force for Constant Collapse in Variational Autoencoders
May 18, 2026Zegu Zhang, Jian ZhangVariational Autoencoder Entropy Collapse

Jun 23, 2026 · cs.CVJ/K move · Enter open · S save

GPU-Accelerated Inverse Structural Anastylosis from Block Collapse Dynamics

L. A. Muñoz

Computational Robotics Lab School of Engineering and Sciences Tecnológico de Monterrey Monterrey, Nuevo León, Mexico

The physical anastylosis of collapsed architectural monuments -- the meticulous reassembly of fallen stone elements into their original structural configuration -- represents one of the most intellectually demanding challenges in conservation science. Traditional approaches depend heavily on expert archaeologist judgement and manual block-by-block correspondence, a process that is both labour-intensive and inherently subjective. Inspired by the combinatorial complexity of this problem as manifested in the game of Jenga, we present Jenga Inverse Predictor , a GPU-accelerated deep learning framework that addresses structural anastylosis as an inverse prediction task. Given an image of a collapsed block assembly, JIP-2 reconstructs the most probable prior tower configuration by: (1) implementing a complete rigid-body physics engine with OBB/SAT collision detection and a Projected Gauss-Seidel (PGS) contact solver accelerated with Numba JIT and CuPy CUDA; (2) applying the analytical force thresholds of Ziglar (CMU, 2006) -- F_app = 3mu_smg (Y-axis, torque-free) and F_app = 4mu_smg (X-axis, torque risk) -- over three friction levels (mu_s in {0.25, 0.40, 0.60}) across 450 simulated episodes; (3) training a dual-stream ResNet-18 that injects a friction one-hot vector and jointly predicts block removal count, per-position removal probabilities, centre-of-mass imbalance, and Ziglar torque risk; and (4) generating a smooth 3-D video of the block-by-block reverse reconstruction. We discuss implications for computer-assisted anastylosis at the UNESCO Maya site of Uxmal, Yucatan, and provide a detailed technical description of the full pipeline, architecture, and loss formulation.

Physics-Guided Deep Learning Framework Rigid-Body Dynamics Collapse Anatomy

Open paper Ask about it PDF