Assumptions

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4 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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Latest papers 29

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SoK: Decentralized Agent Economic Infrastructure
Oct 1, 2026Rui Sun, Xihan Xiong, Qin Wang +5Contracts Infrastructure
Newcastle University, UK · University of Bristol, UK · CSIRO, Australia +5
On the Relaxation of Conditional Independence Assumption for Image Segmentation
Sep 30, 2026Zixun Wang, Ben DaiSemantic Segmentation Conditional Independence
Department of Statistics and Data Science The Chinese University of Hong Kong
Demistifying Data and Simulator Assumptions in Supervised Causal Discovery
Sep 29, 2026Pingchuan Ma, Rui Ding, Bojun Huang +1Causal Discovery Methods Causal Graph
Zhejiang University of Technology, China · Microsoft Research Asia · Sony Research +1
The syntax and semantics of goals
Sep 16, 2026David M. Abel, Mark K. HoGoal-Directed Behavior Cognitive Science
Department of Informatics University of Edinburgh · Department of Psychology New York University
Don't `Well, Actually' Me Unless You Know What You're Talking About: Weak Presupposition Verification Degrades General QA Performance
Aug 6, 2026Shenran Wang, Vered Shwartz, Hila GonenQuestion-Answer Pairs Assumptions
Department of Computer Science, University of British Columbia · Vector Institute · CIFAR AI Chair +1
Mapping the City Through the Lens of Language Models
Aug 4, 2026Wanqi Liu, Rong Zhao, Zhizhou Sha +2Cities Urban Environments
Centre for Advanced Spatial Analysis (CASA), University College London, London, UK · Department of Computer Science, The University of Texas at Austin, Austin, TX, USA · Department of Civil and Transportation Engineering, South China University of Technology, Guangzhou, China +1
Rethinking Artificial Intelligence in Medical Imaging: Assumptions, Reality, and Reframing
Jul 29, 2026Arman Rahmim, Nourhan Bayasi, Xiaoxiao Li +2Medical Imaging Artificial Intelligence Evaluation
Department of Basic and Translational Research, BC Cancer Research Institute, Vancouver, BC, Canada · Department of Radiology, University of British Columbia, Vancouver, BC, Canada · Departments of Physics and Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada +3
A Compositional Theory of Causally Masked Transformers
Jul 29, 2026Franz Nowak, Ryan Cotterell, Reda BoumasmoudTransformer Architectures Expressivity
1ETH Zürich
AssumptionMiner: Extracting, Tracing, and Revising Implicit Assumptions in LLM Code Generation
Jul 24, 2026Jie "JW" WuCode Generation Assumptions
Michigan Technological University, Houghton, MI, USA
Why3-py: A Tool for Formal Verification of Hypothesis Testing and Meta-Analysis in Python
Jul 4, 2026Akira Tanaka, Yusuke KawamotoPython Two-Sample Testing
National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan
End-to-End Dynamic Sparsity for Resource-Adaptive LLM Inference
Jun 26, 2026Yuhang Chen, Jinhao Duan, Ruichen Zhang +11LLM Inference Optimization Sparsity
University of North Carolina at Chapel Hill · Meta AI
You Don't Need Strong Assumptions: Visual Representation Learning via Temporal Differences
Jun 14, 2026Ninad Daithankar, Alexi Gladstone, Yann LeCun +1Self-Supervised Representations Photometric Supervision
1UIUC · 2New York University
Beyond Additivity: Causal Discovery in Location-Scale Noise Models with Hidden Variables
Jun 6, 2026Mariyam Khan, Shohei Shimizu, Thong PhamCausal Discovery Methods Causal
University of Bergen · *Work conducted while a student trainee at RIKEN AIP · 2The University of Osaka +2
Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit
Jun 2, 2026JooYoung Lee, Lin Tian, Angela Brillantes +2Misinformation Zero-Shot
University of Technology Sydney, Sydney, Australia.
Healthcare LLM Benchmarks Are Only as Good as Their Explicit Assumptions
May 21, 2026Naveen Raman, Santiago Cortes-Gomez, Mateo Dulce Rubio +2Healthcare Pre-Deployment Safety Assessments
New York University
Presupposition and Reasoning in Conditionals: A Theory-Based Study of Humans and LLMs
May 18, 2026Tara Azin, Yongan Yu, Raj Singh +1Human Judgment LLM Reasoning Strategies
Department of Cognitive Science, Carleton University · School of Computer Science, McGill University · Mila – Quebec AI Institute
The End of Trust: How Agentic AI Breaks Security Assumptions
May 14, 2026Osama Zafar, Alexander Nemecek, Erman AydaySecurity AI Trustworthiness
Dept. of Computer and Data Sciences Case Western Reserve University Cleveland, USA
The Evaluation Trap: Benchmark Design as Theoretical Commitment
May 13, 2026Theodore J KalaitzidisArtificial Intelligence Benchmarks Self-Evaluation
Brown University
Bridging Legal Interpretation and Formal Logic: Faithfulness, Assumption, and the Future of AI Legal Reasoning
May 13, 2026Olivia Peiyu Wang, Leilani H. GilpinLegal Reasoning Tasks Large Language Model Reliability
University of California, Santa Cruz
Discrete Flow Matching: Convergence Guarantees Under Minimal Assumptions
May 9, 2026Le-Tuyet-Nhi Pham, Giovanni Conforti, Zhenjie Ren +1Conditional Flow Matching Generative Models
École Polytechnique, CMAP, IP Paris Route de Saclay, 91120 Palaiseau, France · Università degli Studi di Padova, Via Trieste, 63, 35131 Padova, Italia · LaMME, Université Évry Paris-Saclay Boulevard François Mitterrand 91000, France
Position: Mechanistic Interpretability Must Disclose Identification Assumptions for Causal Claims
May 8, 2026Zezheng Lin, Fengming LiuCausal Mechanistic Interpretability
Preprint.
Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors
May 8, 2026Nikita Dhawan, Daniel Shen, Leonardo Cotta +1Causal Inferences Bayesian
University of Toronto Vector Institute · University of Waterloo · Vector Institute
APEX: Assumption-free Projection-based Embedding eXamination Metric for Image Quality Assessment
May 8, 2026Caterina Gallegati, Monica Bianchini, Franco Scarselli +2Image Quality Assessment Visual Embeddings
University of Siena, Italy · AI for Good (AIGO), Istituto Italiano di Tecnologia, Italy · University of Verona, Italy
Evaluating Reasoning Models for Queries with Presuppositions
May 4, 2026Rose Sathyanathan, Kinshuk Vasisht, Danish PruthiLarge Reasoning Models Assumptions
Indian Institute of Science Bengaluru, KA, India
TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations
May 4, 2026Gideon Stein, Niklas Penzel, Tristan Piater +1Causal Discovery Methods Assumptions
Computer Vision Group Jena Friedrich Schiller University Jena Jena, Thuringia, 07743, DE
Deep Clustering for Climate: Analyzing Teleconnections through Learned Categorical States
Apr 24, 2026Lívia Meinhardt, Dário OliveiraClimate Clustering
FGV EMAp
Logistic Bandits with $\tilde{O}(\sqrt{dT})$ Regret without Context Diversity Assumptions
Apr 24, 2026Seoungbin Bae, Dabeen Lee\Widetilde{\Mathcal{O}}(\Sqrt{T})$ Regret Contextual Bandit Framework
Department of Industrial & Systems Engineering, KAIST · Department of Mathematical Sciences, Seoul National University
Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions
Feb 18, 2026Zoran MajkicNeuro-Symbolic Framework Axiom
ISRST, Tallahassee, FL, USA
Towards Weaker Variance Assumptions for Stochastic Optimization
Apr 14, 2025Ahmet Alacaoglu, Yura Malitsky, Stephen J. WrightStochastic Convex Optimization Stochastic Optimization
Department of Mathematics, University of British Columbia · Faculty of Mathematics, University of Vienna · Department of Computer Sciences, University of Wisconsin–Madison

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SoK: Decentralized Agent Economic Infrastructure

Rui Sun, Xihan Xiong, Qin Wang, Fei Gao+4

Newcastle University, UK · University of Bristol, UK · CSIRO, Australia+5

Contracts Infrastructure Assumptions

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Decentralized agent economies increasingly build a single task from protocols that were designed and secured separately. This creates a simple problem: a workflow can look correct at each step and still produce the wrong outcome. For example, a correct escrow may release payment on an authorized approval that provides little evidence that the delivered work actually satisfied the task. We systematize this problem across the full lifecycle of an agent task. Our study organizes security and economic requirements into 17 property families over six stages, with receipt soundness and completeness assessed separately. We examine 12 systems and standards, five reusable mechanism families, and four classical baselines. We introduce guarantee closure, a task-relative criterion for determining whether guarantees established at one stage remain available and constrain the later decisions that depend on them. We apply the criterion to controlled and native workflows, covering 840 matched executions and an exhaustive 11,648-case check over a finite objective-task domain. Our results expose recurring failures between verification and settlement, where conforming work can remain unaccepted or valid evidence can be ignored. Public records and model judgments further distinguish recorded approval from evidence of task conformance, while economic analysis identifies the report, penalty, and shared-error assumptions behind these guarantees. These findings show where end-to-end guarantees fail and what must be repaired to preserve them across the workflow.

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