Claim Attribution in Language Models

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13 papers3 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Where Is the "Self" of a Large Language Model? -- From Self-Index to Self-Reference
Oct 12, 2026Yuchen Li, Xintong Li, Zongqi Fan +2Claim Attribution in Language Models LLM Interpretability
The University of Sydney, Sydney, Australia
SOAR: Source-Aware Reinforcement Learning with Precise Credit Assignment for Search Agents
Oct 9, 2026Shengze Huang, Zihao Tang, Jinluan Yang +11Claim Attribution in Language Models RL for Language Model Reasoning
Zhejiang University · Microsoft
Style, Not Self: Surface Cues Explain Zero-Shot Code Attribution by Large Language Models
Sep 24, 2026Ehsan Barkhordar, Surendrabikram ThapaLanguage Model Fingerprinting Code Language Models
Koç University · Virginia Tech
SemTrace: Source-Grounded Semantic Signatures for Tracing LLM Exposure to Protected Documents
Aug 30, 2026Junyan Zhang, Yudong Zeng, Yongwei Huang +3Claim Attribution in Language Models Text Watermarking
The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China · Bosum Institute of Management Science, Shenzhen, China
Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes
Aug 3, 2026Maryam Rezaee, Pooriya Safaei, Maryam Asgarinezhad +1Surrogate Modeling Claim Attribution in Language Models
Department of Mathematical Sciences, Sharif University of Technology, Tehran, Iran
Asymmetric Communication: Large Language Models and Language Games
Jul 30, 2026Enzo FenoglioClaim Attribution in Language Models LLM Alignment
Dept. Computer Science University College London 66-72 Gower Street, London WC1E 6EA, UK
Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory
Jul 27, 2026Saurabh Ranjan, Konstantina Sokratous, Brian OdegaardClaim Attribution in Language Models Hallucination in Language Models
Department of Psychology, University of Florida, Gainesville, Florida, USA. · University of Missouri, Missouri, USA.
How Large Language Models Source Brand Reputation Across Languages and Markets
Jun 24, 2026Dmitrij ZatuchinMultilingual Language Models Claim Attribution in Language Models
Department of Information Technologies, Estonian Entrepreneurship University of Applied Sciences (EUAS), Tallinn, Estonia. · Rankfor.AI, Tallinn, Estonia.
Do LLM Attribution Metrics Transfer? Auditing Retrieval-Augmented Generation Evaluation Across Datasets and Constructs
Jun 22, 2026Tianyu Ding, Aditya Nannapaneni, Juan Pablo De la Cruz WeinsteinLanguage Model Generation Evaluation LLM Auditing
Amazon Web Services
The Attribution Blind Spot: Detecting When Language Models Rely on Memory Rather Than Retrieved Context
May 26, 2026Zhe Yu, Wenpeng Xing, Yunzhao Wei +4Claim Attribution in Language Models Memorization in Language Models
Binjiang Institute of Zhejiang University · Zhejiang University · National Fintech Evaluation Center +2
Trust but Verify: Introducing DAVinCI -- A Framework for Dual Attribution and Verification in Claim Inference for Language Models
Apr 23, 2026Vipula Rawte, Ryan Rossi, Franck Dernoncourt +1Claim Attribution in Language Models LLM Answer Verification
Adobe · Adobe Research
Dead Cognitions: A Census of Misattributed Insights
Apr 11, 2026Aaron Tuor, claude. aiClaim Attribution in Language Models Deception in Language Models
Attribution Bias in Large Language Models
Apr 6, 2026Eliza Berman, Bella Chang, Daniel B. Neill +1Claim Attribution in Language Models Social Bias in Language Models
New York University

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Where Is the "Self" of a Large Language Model? -- From Self-Index to Self-Reference

Yuchen Li, Xintong Li, Zongqi Fan, Ken-tye Yong+1

The University of Sydney, Sydney, Australia

Claim Attribution in Language Models LLM Interpretability Representation Geometry in Language Models

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We separate two functional levels of self familiar from biology: a self-index, which separates one's own from external material and shapes processing, as corollary discharge does in nearly all animals, and self-reference, the higher ability to recognize what is one's own, as in mirror self-recognition. We probe both by placing the same text in an Assistant, User, or System message rendered by the model's own chat template. In Qwen3.8-27B we report three levels of evidence. Persistence: as predicted in advance, the representation of the text separates the model's own message from both external sources at all 64 layers and for every text. Coupling: asked who wrote the preceding message, the model claims its own messages (0.77) and assigns User and System messages alike to the user, and how strongly it claims each message is predicted by the size of its self-index (Spearman up to 0.68). Intervention: exchanging the internal states that follow a message reverses the self-attribution between layers 15 and 31; removing the self-index direction from them at layer 39 lowers the claim more than a random direction; and in arithmetic the model adopts a wrong step more often when it wrote the step itself (0.92 versus 0.75). Across eight open-weight models from four families, the levels are nested and do not follow model size: three models show neither, three a self-index without self-reference, Qwen3.8-Flash-Next recognizes its own messages only after reasoning (0.66, none of the external ones), and only Qwen3.8-27B shows both without thinking; no model shows self-reference without a self-index, and reasoning brings it out only where one exists. We propose that self-reference is a higher-level ability built on a self-index, a content-independent displacement superimposed on the whole representation of the model's own messages, and that neither level is a by-product of problem-solving ability.