Data Provenance

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16 papers in the last four weeks, down 6% on the four weeks before. 0.2% of all new papers.

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GaussTrace: Provenance Analysis of 3D Gaussian Splatting Models with Evidence-based LLM Reasoning
Jun 9, 2026Haoliang Han, Ziyuan Luo, Renjie Wan3D Gaussian Splatting Data Provenance
Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China.
Traxia: A Framework for Verifiable, Agent-Native Scientific Publishing
Jun 6, 2026Wisdom DogahData Provenance Scholarly Peer Review
Faculty of Computing and Mathematical Sciences, University of Mines and Technology (UMaT), Tarkwa, Ghana. · BlackMatrix AI Research, Accra, Ghana.
From Agent Traces to Trust: A Survey of Evidence Tracing and Execution Provenance in LLM Agents
Jun 3, 2026Yiqi Wang, Jiaqi Zhang, Taotao Cai +8AI Agent Reliability Data Provenance
Griffith University · Jiangsu University · University of Southern Queensland +5
Notarized Agents: Receiver-Attested Confidential Receipts for AI Agent Actions
Jun 2, 2026Juan FigueraData Provenance AI Agent Security
Independent Researcher, Sello Project
Towards Multidisciplinary Summarization of Hospital Stays: Efficient Sentence-Level Clinical Provenance Categorization
Jun 1, 2026Baris Karacan, Vaibhav Bhargava, Barbara Di Eugenio +21Data Provenance LLM Fine-Tuning
University of Illinois Chicago · University of Iowa · University of Missouri-Columbia
AIREP: A Protocol for Per-Decision Evidence in AI Runtime Governance
May 31, 2026Ali Toygar AbakAI Assurance Data Provenance
Independent Researcher
A Registry-Bound LLM Pipeline for Evidence-Grounded Trait Extraction across Tropical Plants, Aquatic Species, and Exotic Pets
May 31, 2026Jeff WangData Provenance LLM Auditing
NEXLY LLC, United States
DEMM-Bench: A Cross-Regime Benchmark for Agent-Runtime Governance-Evidence Sufficiency
May 30, 2026Oleg SolozobovData Provenance AI Agent Benchmarks
Independent Researcher (Global)
Authenticity Debt and the Synthetic Content Threat Landscape: A Layered Framework for Trust, Provenance, and IP Governance in the Generative AI Era
May 30, 2026Shubhashis Sengupta, Benjamin McCarty, Milind Savagaonkar +1AI Accountability Data Provenance
Accenture Services Pvt. Ltd.
Replicable Simulation-Based Robot Validation through Provenance
May 28, 2026Argentina Ortega, Samuel Wiest, Frederik Pasch +1Data Provenance Robotics Simulation
University of Bremen, Germany. · Karlsruhe University of Applied Sciences, Germany.
From Prompts to Context: An Ontology-Driven Framework for Human-Generative AI Collaboration
May 28, 2026Ngoc Luyen Le, Marie-Hélène Abel, Bertrand LaforgeAI Accountability Data Provenance
1Gamaizer, 93340 Le Raincy, France. · 2Université de technologie de Compiègne, CNRS, Heudiasyc (Heuristics and Diagnosis of Complex Systems), CS 60319 - 60203 Compiègne2026 Cedex, France. · 3Sorbonne Université, CNRS UMR 7585, LPMHE (Laboratoire de Physique Nucléaire et des Hautes Énergies), 75252 Paris cedex 05,May France.
Implicit Identity Technologies for LLMs: Fingerprinting and Watermarking across Datasets, Models, and Generated Content
May 28, 2026Bing Liu, Shunping Wang, Yufan Zhu +5Data Provenance Language Model Fingerprinting
School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China · State Grid Henan Marketing Service Center, Henan, China · Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China +3
Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets
May 27, 2026Andrea Gurioli, Davide D'Ascenzo, Federico Pennino +2Data Provenance LLM Auditing
Dipartimento di Informatica - Scienza e Ingegneria, Universit`a di Bologna, Bologna, Italy · Department of Control and Computer Engineering, Politecnico di Torino, Turin, Italy · T´el´ecom Paris, Institut Polytechnique de Paris, Palaiseau, France
On the Origin of Synthetic Information by Means of Steganographic Inheritance
May 26, 2026Ching-Chun Chang, Isao EchizenData Provenance
C.-C. Chang and I. Echizen are with the Information and Society Research Division, National Institute of Informatics, Tokyo, Japan.
RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data
May 26, 2026Hsiu-Yuan Huang, Weijie Liu, Chenming Tang +5Data Provenance Reinforcement Learning with Verifiable Rewards
National Key Laboratory for Multimedia Information Processing, Peking University · School of Computer Science, Peking University · LLM Department, Tencent
ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence
May 25, 2026Rui Meng, Bhavana Dalvi Mishra, Jiefeng Chen +10Data Provenance Citation Verification
Google Cloud AI Research
Mitigating Provenance-Role Collapse in Long-Term Agents via Typed Memory Representation
May 25, 2026Zhengda Jin, Bingbing Wang, Jing Li +2Data Provenance Long-Term Conversational Memory
1Harbin Institute of Technology, Shenzhen, China · 2The Hong Kong Polytechnic University, Hong Kong, China · 3Shenzhen Loop Area Institute, Shenzhen, China
Guess the Unified Model: How Much Can We Recover from Generated Images?
May 24, 2026Jasin Cekinmez, Ryo Mitsuhashi, Addison J. Wu +1Data Provenance Unified Multimodal Models
Princeton University
Auditable Climate Risk Intelligence from Fragmented ESG Data: Deterministic Orchestration and Imbalance-Aware Learning for Scope 1-3 Validation
May 23, 2026Karan Sehgal, Khawar Naveed BhattiData Provenance Algorithmic Auditing
Kent Business School · University of Kent · Canterbury, United Kingdom
ECPO: Evidence-Coupled Policy Optimization for Evidence-Certified Candidate Ranking
May 21, 2026Miaobo Hu, Shuhao Hu, BoKun Wang +5Data Provenance Learning to Rank
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China · School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
Verifiable Provenance and Watermarking for Generative AI: An Evidentiary Framework for International Operational Law and Domestic Courts
May 20, 2026Gustav Olaf Yunus Laitinen-Fredriksson Lundström-Imanov, Nurana AbdullayevaData Provenance Digital Forensics
Department of Military Studies, Försvarshögskolan (Swedish Defence University), Drottning Kristinas väg 37, 115 93 Stockholm, Sweden · School of Law, ADA University, Ahmadbey Aghaoghlu Street 61, Baku AZ1008, Azerbaijan
Stage-Audit: Auditable Source-Frontier Discovery for Cross-Wiki Tables
May 19, 2026Chen ShenData Provenance LLM Auditing
Megagon Labs
Pramana: A Protocol-Layer Treatment of Claim Verification in Autonomous Agent Networks
May 19, 2026Ravi Kiran KadaboinaAI Agent Reliability Claim Verification
Independent Researcher
OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets
May 19, 2026Haolin XueData Provenance LLM Unlearning
The Economics of Model Collapse: Equilibrium, Welfare, and Optimal Provenance Subsidies in Synthetic Data Markets
May 19, 2026Gustav Olaf Yunus Laitinen-Fredriksson Lundström-ImanovData Provenance Dataset Watermarking
Department of Economics Stockholm University Stockholm, Sweden
Who Generated This 3D Asset? Learning Source Attribution for Generative 3D Models
May 18, 2026Sihan Ma, Siyuan Liang, Dacheng TaoData Provenance Generative Modeling
College of Computing & Data Science, Nanyang Technological University, Singapore
Responsible Agentic AI Requires Explicit Provenance
May 16, 2026Jinwei Hu, Xinmiao Huang, Qisong He +3Data Provenance Algorithmic Accountability
School of Computer Science and Informatics, University of Liverpool, UK · Department of Computer Science, Mohamed bin Zayed University of Artificial Intelligence, UAE
Why Neighborhoods Matter: Traversal Context and Provenance in Agentic GraphRAG
May 14, 2026Riccardo Terrenzi, Maximilian von Zastrow, Serkan AyvazData Provenance Graph Retrieval-Augmented Generation
Centre for Industrial Software, University of Southern Denmark, Alsion 2, 6400 Sønderborg, Denmark
VectorSmuggle: Steganographic Exfiltration in Embedding Stores and a Cryptographic Provenance Defense
May 13, 2026Jascha WangerData Provenance Information Retrieval
ThirdKey / Tarnover, LLC
TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents
May 11, 2026Bihui Yu, Caijun Jia, Jing Chi +6Tool Use in VLMs Data Provenance
Shenyang Institute of Computing Technology, Chinese Academy of Sciences · University of Chinese Academy of Sciences · Key Laboratory of Computing Power Network and Information Security,2026 Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences) +1

Jun 9, 2026, cs.CVJ/K move · Enter open · S save

GaussTrace: Provenance Analysis of 3D Gaussian Splatting Models with Evidence-based LLM Reasoning

Haoliang Han, Ziyuan Luo, Renjie Wan

Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China.

3D Gaussian Splatting Data Provenance

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3D Gaussian Splatting (3DGS) is a powerful technique for creating high-fidelity 3D assets. However, the widespread sharing and iterative modification of 3DGS models across digital platforms create pressing challenges for intellectual property protection and forensic traceability. To address this, we propose GaussTrace, a novel framework for constructing directed provenance graphs for 3DGS models. GaussTrace formulates provenance analysis as an evidence-based reasoning problem. It builds upon attribute-wise statistical profiling of 3DGS parameters to capture intrinsic properties. Moreover, we introduce hypothesis-driven editing simulations of common operations to provide auxiliary evidence for plausible transformation pathways. These statistical and simulated cues jointly enable a Large Language Model (LLM) to perform structured Chain-of-Thought (CoT) reasoning, yielding directional provenance inferences and explainable edge reasons. Experimental results demonstrate that GaussTrace effectively constructs evolutionary relationships among diverse 3DGS models, delivering accurate, interpretable, and robust provenance graphs without requiring model training or access to editing histories. Project page: https://haolianghan.github.io/GaussTrace.

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