Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints | Paper Citation Record

Observation 3548ee4c-ad87-4bae-acd5-b8e431005e77 · outbound

This paper cites Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang

Reference 1

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Observation 42fb93e8-391c-446d-9f07-8dc11cf8a928 · outbound

This paper cites GPT-4 Technical Report.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints GPT-4 Technical Report

Reference 2

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 3

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Observation a9e5f167-4fd7-4dcc-bfd5-72c0f00d44ea · outbound

This paper cites Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Reference 4

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 5

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Observation fb8bb410-5939-420f-b896-430c3bd36619 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 6

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Observation aacf843b-b582-4983-a73d-aece9b1c9f4c · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 7

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Observation b619be2c-5978-45e2-8f7f-65e0b133ad23 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 8

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Observation 6b618276-108d-4d16-afef-121dda236d8a · outbound

This paper cites an unresolved cited work.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 9

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Observation fed3630a-e25a-43b4-9c9e-457a895e6454 · outbound

This paper cites an unresolved cited work.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 10

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Observation 219abf91-9663-4bb7-95e4-f5cc35748d68 · outbound

This paper cites 2016.Deep learning.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints 2016.Deep learning

Reference 11

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Observation 49327e71-3912-4296-9999-950372628ca0 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

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Observation 952b32cf-9998-4629-9712-61ebc2488061 · outbound

This paper cites MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 13

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Observation 5e06d28c-9d28-451a-a49a-7871366196bd · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 14

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Observation 3d23d0e0-b17c-40e2-bf9b-8d0a3ddc48c6 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 15

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Observation e0fd8f00-9e9d-4844-be67-9874c5c77b3c · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 16

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Observation 31e794ac-afd6-4720-8129-9e7ec35585c7 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 17

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Observation f0e423ce-54da-4cf3-951d-6792090ecdb1 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 18

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Observation 0029f0c8-1058-46dc-b08f-a55b4e700472 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 19

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Observation 9e19784a-7033-4f3a-8b31-89ad4da12b01 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 20

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Observation b2f3d1ca-52ee-467f-b327-2675ba920852 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 21

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Observation 01d5d13a-c1a0-4cc8-bfe5-11fda8447680 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 22

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Observation 319be312-4e14-4063-ab98-3f4895608fad · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 23

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Observation 73d4db44-c64e-46e8-b917-9c81f20549af · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 24

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Observation bbf19197-72bb-4c95-a7eb-c456b9078a89 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 25

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Observation 5a373a6b-e448-4410-9dca-89cb7556c9ec · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 26

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Observation bebf7a26-c40d-4a4a-81df-d19a95b58ac5 · outbound

This paper cites Is My Text in Your AI Model? Gradient-based Membership Inference Test applied to LLMs.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Is My Text in Your AI Model? Gradient-based Membership Inference Test applied to LLMs

Reference 27

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Observation 7bea94cc-045b-4c22-944c-69236c002365 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 28

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Observation bdfbad4d-b193-4a2b-8a21-6b2f52597518 · outbound

This paper cites Learning in Implicit Generative Models.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Learning in Implicit Generative Models

Reference 29

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Observation 8f72c394-f7b9-449d-a609-16eb0e0910a5 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 30

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Observation 233cdb64-7353-4f82-83bc-d4cd8b7522a6 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 31

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Observation a8739356-b18a-4dc4-bfa2-6ab42531d18c · outbound

This paper cites 2001.Empirical likelihood.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints 2001.Empirical likelihood

Reference 32

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Observation 2a5d5b13-4194-4ea0-a71f-c04c5570125f · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 33

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Observation 8b447016-1d98-4bcd-883f-2047cc62778b · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 34

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Observation d81c8854-5fcf-4b6e-888d-eb1cbda28f17 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 35

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Observation 4860c53e-cddb-4a43-9b3a-05482a3f0f8a · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 36

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Observation 832870fe-a96c-4164-96eb-9e938bf4e0f1 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 37

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Observation 2ef5cf33-3b5d-48a6-a980-74ca2019534b · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 38

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Observation 09611f18-6378-4494-9f57-adc3500aee7b · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 39

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Observation 78598176-468d-4ffa-a8ce-7fd469618114 · outbound

This paper cites 2002.Learning with kernels: support vector machines, regularization, optimization, and beyond.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints 2002.Learning with kernels: support vector machines, regularization, optimization, and beyond

Reference 40

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Observation 660d43e3-63ef-4249-984b-404ae4055cf2 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 41

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Observation d5d2a7ff-769b-4d32-af7e-d2ca47b490f0 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 42

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Observation ab6e00c1-93e3-4546-8e2c-5c500f72d91c · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 43

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Observation 86f119dc-b65e-4f53-9c7c-1b9ff2bd5ec5 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 44

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Observation e4da1a3e-06f8-4f61-b19a-7e39e9cb61e2 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Hashimoto

Reference 45

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Observation cb7bcda6-f5db-482d-aa04-df8ab8eb0fe3 · outbound

This paper cites The information bottleneck method.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints The information bottleneck method

Reference 46

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Observation 1f6bce80-c38d-4182-b60b-26e7e9094355 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints LLaMA: Open and Efficient Foundation Language Models

Reference 47

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Observation 9318c42c-0535-46e0-8d76-dcdb6ba663d8 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 48

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Observation 7ae4df5d-6eef-4a10-be0b-84b8c19ded05 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 49

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Observation 481a8020-8ddc-42b9-83ab-ca0147beede8 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 51

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Observation 83821a57-7033-47b2-be38-449ae417b6e7 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Qwen3 Technical Report

Reference 52

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Observation b489fe39-558e-4c2f-858b-0b3c2aa32a53 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 53

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Observation 725eec45-992b-4d8f-80da-06767a7aeb95 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 55

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Observation 499ba978-c049-494e-8bcb-323c666899c3 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends

Reference 56

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Observation 211531db-c199-4504-8e53-b35e7311e546 · outbound

This paper cites wiki” later) 𝜋own 𝐷_{para}0.923 0.054 0.784 0.413 0.541 0.454 𝜋ind 𝐷^{flash}0.782 0.098 0.571 0.078 0.137 0.435 ChatDoctor (compared with𝐷HCMbase, omitting superscript “HCM.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints wiki” later) 𝜋own 𝐷_{para}0.923 0.054 0.784 0.413 0.541 0.454 𝜋ind 𝐷^{flash}0.782 0.098 0.571 0.078 0.137 0.435 ChatDoctor (compared with𝐷HCMbase, omitting superscript “HCM

Reference 57

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Observation 9e488a63-8bb6-4cd1-9ae9-f29bceb81d88 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

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Observation 444b8df0-46ed-413f-941b-f3e648fa46fb · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

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Observation f1ff1396-dada-4f7d-8a5e-02da002a80cb · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

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Observation ba8e7c2a-2207-4923-b1cf-33f683730d68 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints sequence1

Reference 65

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Observation f0222a9e-650e-408b-ae95-2f990236ed11 · outbound

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Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

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Observation 0e18b612-f3e9-45e4-90ee-f1ea9582a6bd · outbound

This paper cites an unresolved cited work.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

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Observation 6cebddef-7f63-4533-8242-97750e48849b · outbound

This paper cites DON’T LEAVE OUT ANY INFORMATION!.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints DON’T LEAVE OUT ANY INFORMATION!

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-04T13:39:15.878727Z

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Unavailable: canonical work link unavailable.

Observation 57e6e83c-b04e-4cf7-a9ba-febf22083d27 · outbound

This paper cites an unresolved cited work.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-04T13:39:15.925030Z

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Observation 8dc49bab-40fc-4504-b079-4837e7f38eea · outbound

This paper cites an unresolved cited work.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-04T13:39:16.024324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8b9f3ed-cd84-4faa-99df-c82146f02c1c · outbound

This paper cites soft gate.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints soft gate

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-04T13:39:16.128206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d32dc43-0bad-41cf-88dc-82ed2151cb92 · outbound

This paper cites an unresolved cited work.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T13:39:10.401916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a757e20-7014-4fce-8e9b-154b9d365c73 · outbound

This paper cites an unresolved cited work.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T13:39:08.727951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2077dc8-4b4b-456f-8cad-e48f0eb1365c · outbound

This paper cites InICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints InICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T13:39:12.354612Z

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