Data Provenance in Language Models

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19 papers4 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

The World as Viewed by 136 Countries: An Open, Curated, Annotated, and Multilingual Dataset of 118 Million State Media Articles
Oct 18, 2026Bryan Li, Samar Haider, Grace Kim +6Political Bias in Language Models Data Provenance in Language Models
Google · Northwestern University · University of Pennsylvania +2
Recognizing Study Lineage Is Not Enough: Over-Crediting Same-Trial Evidence in LLM-Based Medical Verification
Oct 16, 2026Mukand Krishna, Anoushka Harit, Chenghao Xiao +1LLM Reliability LLM Answer Verification
School of Computing, University of Kent, UK · Cancer Research UK Cambridge Institute, University of Cambridge, UK · Shanghai University of Finance and Economics, China
Self-Reflective Chain-of-Thought (SRCoT): Evidence-Based Text Generation via a Closed-Loop Retrieve--Reflect--Revise Pipeline on Edge LLMs
Oct 16, 2026Fabian Broszio, Michael Hoffmann, Adrian PaschkeEvidence-Grounded Generation Self-Reflection in Language Model Agents
Department of Mathematics and Computer Science, Freie Universität Berlin, Arnimallee 14, Berlin, 14195, Germany.
Provenance-Aware Belief Updating in Human-AI Feedback Loops
Oct 9, 2026Tianyi Huang, Eric Liu, Jay Chong +2Data Provenance in Language Models Belief Updating in LLMs
Ryquo · App-In Club
GraphEcho: Structural Redundancy and Evidence Provenance in LLM Graph Agents
Sep 15, 2026Sikun Wang, Yixi Zhou, Lei Fan +1Data Provenance in Language Models LLM Reasoning with Graphs
Tokyo University of Science · Hong Kong Baptist University · University of Michigan +1
Who Put the I in AI? Provenance and the Admissibility of Machine Self-Report
Aug 24, 2026Kristina ŠekrstData Provenance in Language Models Framing Effects in Language Models
Center for Cognitive Science, University of Zagreb
Towards Computational Provenance: Carrying Causal-State Evidence in Generated Text
Aug 17, 2026Benjamin BelayData Provenance in Language Models Language Model Auditing
Independent Researcher.
Training Leaves Traces: Centered Residual Signatures for Language Model Lineage Verification
Aug 14, 2026Aman Singh Thakur, Rayan KhouryLanguage Model Fingerprinting Open-Weight Language Models
Massachusetts Institute of Technology, USA
TokenPrint: A Calibrated Token-Space Fingerprint for Language-Model Provenance
Aug 8, 2026Yuqi Wu, Shengming Zhao, Jie ChenLLM Auditing Language Model Fingerprinting
College of Biomedical Engineering, Fudan University
Stemma: Induced Decision Regions Reveal LLM Provenance
Jul 28, 2026Keyu Zhang, Vadim Safronov, Andrew MartinData Provenance in Language Models Language Model Fingerprinting
Department of Computer Science, University of Oxford
Implicit Identity Technologies for LLMs: Fingerprinting and Watermarking across Datasets, Models, and Generated Content
May 28, 2026Bing Liu, Shunping Wang, Yufan Zhu +5Data Provenance in Language Models Data Provenance
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
OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets
May 19, 2026Haolin XueData Provenance LLM Unlearning
Identifying AI Web Scrapers Using Canary Tokens
May 13, 2026Steven Seiden, Triss Ren, Caroline Zhang +3Data Provenance in Language Models LLM Auditing
Carnegie Mellon University CyLab Security & Privacy Institute Pittsburgh, PA, USA
TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection
May 12, 2026Tom Sander, Hongyan Chang, Tomáš Souček +10Language Model Fingerprinting LLM Watermarking
FAIR, Meta Superintelligence Labs
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
DataDignity: Training Data Attribution for Large Language Models
May 7, 2026Xiaomin Li, Andrzej Banburski-Fahey, Jaron LanierLLM Auditing Information Retrieval
Microsoft
AttnDiff: Attention-based Differential Fingerprinting for Large Language Models
Apr 7, 2026Haobo Zhang, Zhenhua Xu, Junxian Li +3Language Model Fingerprinting Data Provenance in Language Models
Zhejiang University of Technology · Binjiang Institute of Zhejiang University · Zhejiang University +2
DebugLM: Learning Traceable Training Data Provenance for LLMs
Mar 18, 2026Wenjie Jacky Mo, Qin Liu, Xiaofei Wen +3Data Provenance in Language Models Training Data Attribution
University of California, Davis · University of Southern California
When Only the Final Text Survives: Implicit Execution Tracing for Multi-Agent Auditing
Mar 18, 2026Yi Nian, Haosen Cao, Shenzhe Zhu +4Data Provenance in Language Models AI Agent Auditing
University of Southern California · University of Toronto · University of Illinois Chicago +1

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The World as Viewed by 136 Countries: An Open, Curated, Annotated, and Multilingual Dataset of 118 Million State Media Articles

Bryan Li, Samar Haider, Grace Kim, Fiona Luo+5

Google · Northwestern University · University of Pennsylvania+2

Political Bias in Language Models Data Provenance in Language Models

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State media outlets often project their governments' narratives to target both domestic and foreign audiences. Because this content is plentiful and free to access, it appears widely in the web corpora that large language models (LLMs) are trained on and that retrieval systems draw from. However, the prevalence of state media in these corpora and its potential influence on LLM outputs remain largely unexplored. In this paper, we introduce WorldStateMedia, an open dataset of 118 million state media articles from 136 countries in 114 languages. We extract these articles from existing pretraining corpora and annotate each outlet with level of state control from State Media Monitor. Using WorldStateMedia to audit these corpora, we find that, in English web crawls, the share of state media pages from editorially controlled (vs. independent) outlets rose from 39% in 2013 to 93% in 2025. In several low-resource languages, state media make up a substantial share of all web data, such as 17.8% for Uyghur and 7.8% for Belarusian. To characterize the differing narratives of news outlets, we compare Russian and Ukrainian state media in English and in their native languages, revealing asymmetric topical focus and opposing framings of contested issues such as Crimea. Furthermore, in a retrieval-augmented generation (RAG) experiment on territorial disputes, retrieving a country's state media shifts model answers toward that country's claims, most strongly for English-language (foreign-targeted) media. We release WorldStateMedia to support multilingual, cross-national insights on state media at https://huggingface.co/collections/manestay/worldstatemedia