Consistency Models

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Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation
Jul 11, 2026Ryan GillespieByzantine-Robust Federated Learning Algorithmic Accountability
Independent researcher
StateFuse: Deterministic Conflict-Preserving Memory for Multi-Agent Systems
Jul 7, 2026Sergey Volkov, Yang Li, Ye LuoAgent Memory Multi-Agent Systems
The University of Hong Kong
Verified Detection and Prevention of Concurrency Anomalies in Multi-Agent Large Language Model Systems
Jun 15, 2026Sajjad KhanMulti-Agent LLM Systems Formal Verification
independent researcher
Leveraging Structural Constraints for Diffusion-based Neural TSP Solvers
Jun 8, 2026Mickaël Basson, Philippe PreuxTraveling Salesperson Problem Inference-Time Optimization
CRIStAL, Scool · Université de Lille, France · CNRS, France +2
TOKI: A Bitemporal Operator Algebra for Contradiction Resolution in LLM-Agent Persistent Memory
Jun 4, 2026Ziming WangKnowledge Conflicts in Language Models LLM Agent Memory
The Hong Kong University of Science and Technology Hong Kong, Hong Kong SAR
DCFold: Efficient Protein Structure Generation with Single Forward Pass
May 18, 2026Zhe Zhang, Yuanning Feng, Yuxuan Song +3Protein Structure Prediction AI-Assisted Scientific Research
Institute for AI Industry Research (AIR), Tsinghua University · Department of Computer Science and Technology, Tsinghua University · School of Computer Science and Technology, Huazhong University of Science and Technology +1
S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination
May 16, 2026Sajjad KhanMulti-Agent LLM Systems Consistency Models
Conflict-Free Replicated Data Types for Neural Network Model Merging: A Two-Layer Architecture Enabling CRDT-Compliant Model Merging Across 26 Strategies
May 16, 2026Ryan GillespieModel Merging Consistency Models
Independent researcher
RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPO
May 14, 2026Yanzuo Lu, Ronglai Zuo, Jiankang DengAutoregressive Diffusion Long-Horizon Video Generation
Imperial College London
ECTraj: Enhanced Consistency Training for Multi-Agent Trajectory Prediction
May 9, 2026Alen Mrdovic, Qingze, Liu +6Trajectory Generation Multi-Agent Trajectory Prediction
Tony · Rutgers University, New Brunswick · The College of New Jersey
GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model
May 7, 2026Shaozhen Ma, Wei Huang, Hanchen Wang +2Conditional Generative Modeling Consistency Models
University of New South Wales · University of Technology Sydney
Two Steps Are All You Need: Efficient 3D Point Cloud Anomaly Detection with Consistency Models
May 6, 2026Pranav A, Shashank B, Pranav Siddappa +3Point Cloud Anomaly Detection Industrial Anomaly Detection
1R.V. College of Engineering · 2Technical University of Applied Sciences Würzburg-Schweinfurt
Inconsistent Databases and Argumentation Frameworks with Collective Attacks
May 5, 2026Yasir Mahmood, Jonni Virtema, Timon Barlag +1Computational Argumentation Relational Databases
Data Science Group, Heinz Nixdorf Institute, Paderborn University, Germany · School of Computing Science, University of Glasgow, United Kingdom · School of Computer Science, University of Sheffield, United Kingdom +1
ExpoCM: Exposure-Aware One-Step Generative Single-Image HDR Reconstruction
May 4, 2026Aoyu Liu, Zhen Liu, Ziyi Wang +3Image Enhancement HDR Imaging
University of Electronic Science and Technology of China
Dual-End Consistency Model
Feb 11, 2026Linwei Dong, Ruoyu Guo, Ge Bai +3One-Step Generative Modeling Consistency Distillation
1Zhejiang University · 2Bytedance Inc. · 3Zhejiang Lab
Stabilizing Physics-Informed Consistency Models via Structure-Preserving Training
Feb 10, 2026Che-Chia Chang, Chen-Yang Dai, Te-Sheng Lin +2Physics-Informed Generative Modeling PDE Surrogate Modeling
Institute of Artificial Intelligence Innovation National Yang Ming Chiao Tung University Hsinchu, Taiwan · Department of Applied Mathematics National Yang Ming Chiao Tung University Hsinchu, Taiwan · Department of Applied Mathematics National Yang Ming Chiao Tung University Hsinchu, Taiwan National Center for Theoretical Sciences National Taiwan University Taipei, Taiwan
MACS: Measurement-Aware Consistency Sampling for Inverse Problems
Oct 2, 2025Amirreza Tanevardi, Pooria Abbas Rad Moghadam, Seyed Mohammad Eshtehardian +2Diffusion Model Sampling Inverse Problems
Department of Electrical Engineering Sharif University of Technology Tehran, Iran · Electronics Research Institute Sharif University of Technology Tehran, Iran
A binarized-domains arc-consistency algorithm for TCSPs: its computational analysis and its use as a filtering procedure in solution search algorithms
Feb 22, 2020Amar IsliConstraint Satisfaction Temporal Consistency
University of Sciences and Technology Houari Boumedi`ene · Faculty of Computer Science · Department of Artiﬁcial Intelligence and Data Science +2

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Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation

Ryan Gillespie

Independent researcher

Byzantine-Robust Federated Learning Algorithmic Accountability Consistency Models

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Byzantine-robust aggregation rules such as multi-Krum assume a central coordinator, and decentralising them is obstructed by the rules themselves: they are globally coupled, non-associative, and discontinuous, so an ulpscale perturbation can flip the selected subset, moving the output by a non-vanishing amount. None of this prevents coordinator-free replication, because a robust rule needs no agreed order of contributions, only an agreed set and an agreed exclusion predicate, both of which converge without consensus. ACFA (Accountable Consensus-Free Aggregation) replicates a content-addressed OR-Set of signed contributions and a grow-only set of self-authenticating equivocation proofs, offline-verifiable by anyone. Aggregation is a deterministic pure function of the converged product state: fixed-point integer arithmetic over a hash-canonical order, ties broken by content hash. We prove that any pure function of a converged product of CRDTs (non-monotone, non-associative, or stochastic) inherits Strong Eventual Consistency, together with its converse; the contribution is the composition of a data lattice with an evidence lattice applied to a robust selector, not the elementary lifting step. A prototype (10 nodes, 3 Byzantine) passes 16/16 falsification checks: byte-identical roots under adversarial gossip, deterministic re-convergence after late equivocation proofs, partition recovery, and three byte-identity-breaking ablations. The guarantee is consistency, not accuracy; robustness is imported, conditional on 2f + 3 admitted contributions (at most f Byzantine) and a stated quantisation-margin condition.

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