Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T09:13:20.561611Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 0 inbound Pith citation observations for arXiv:2607.10794.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T09:13:20.561611Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
83 of 83 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 32439dd5-1e8e-4566-9be9-12d9d79cdb5f · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? 2020 , url =
Reference 1
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Observation 01098838-3887-406a-8648-35fb9353b346 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? 2021 , eprint=
Reference 2
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Unavailable: canonical work link unavailable.
Observation 4aa5f0a6-75dd-4090-803f-8ac81e4347c7 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 3
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Observation cdf8c687-e42e-4f62-b02c-ec0ceb02801f · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=
Reference 4
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Observation 43040dfb-66bb-47ca-9814-d284883ba7ae · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? International Conference on Machine Learning , pages=
Reference 5
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Observation ae7069ef-1ccd-4d77-adec-be00956f5fed · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? and Tao, Dacheng , title =
Reference 6
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Observation fdbf999e-f9e6-4545-8dee-e31e3ff36950 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? 2018 , publisher=
Reference 7
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Observation 75031fb6-a81a-4998-90d6-80ad15a46392 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Proceedings of the Conference on Fairness, Accountability, and Transparency , pages=
Reference 8
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Unavailable: canonical work link unavailable.
Observation 001a393c-459e-44ac-badd-efbbbda51a4f · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? 29th USENIX security symposium (USENIX Security 20) , pages=
Reference 9
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Observation bda3d637-303e-4267-b633-1334b2f27873 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? 2024 , eprint=
Reference 10
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Observation 79b07cca-17bd-443b-a9c3-f657fe3f84f4 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? 2025 , url =
Reference 11
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Observation 11aa0d90-a7c7-47a2-bb0c-7bd8d7b4d712 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? 2023 , eprint=
Reference 12
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Observation 7f5adf1f-ece9-4acd-9c46-3ffe2213214f · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? The Llama 3 Herd of Models , journal =
Reference 13
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Observation 4e584270-0eec-4b88-8275-366b9eae4d15 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Stealing Machine Learning Models via Prediction APIs , booktitle =
Reference 14
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Observation 3a379c1a-507b-4212-81b1-0cf8445d0b17 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? International Conference on Machine Learning , pages=
Reference 16
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Observation 1f70c9b7-7e82-4ee4-8ba7-a0bb4211a199 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Unresolved cited work
Reference 19
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Observation 7799c18a-d9b6-49bc-8c9a-11ecc17ece43 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Annual international cryptology conference , pages=
Reference 20
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Observation 1989be27-1d08-4430-bb66-0574b0866c05 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? International conference on machine learning , pages=
Reference 22
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Observation d7f983f8-b6ca-4637-a21d-2fa1145b7d78 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Annals of Mathematics , volume=
Reference 24
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Observation add78931-7ce2-432e-85b2-8a2f58ffb531 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? 2010 , publisher=
Reference 25
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Observation a05680af-25a4-436d-a7fa-b2e3954f2d6e · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Mathematische Annalen , volume=
Reference 26
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Observation 13800ae3-2bb3-4101-92d9-7e02ad24a95b · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Linear Algebra and its Applications , volume=
Reference 27
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Observation 171e88e0-161d-48f7-a163-3fccbaeab857 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? 1998 , publisher=
Reference 28
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Observation 43a70280-159d-4200-8a5b-55550fa91a1e · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? IEEE Transactions on Acoustics, Speech, and Signal Processing , volume=
Reference 29
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Observation 58f2b118-1401-4c47-b9cb-c717e7f34b8e · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Chemometrics and Intelligent Laboratory Systems , volume=
Reference 30
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Observation d0314d2f-dbc6-4e6f-bbec-fef9d327160f · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Journal of the ACM (JACM) , volume=
Reference 31
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Observation cfbe3845-17fc-434e-8593-91ad168b7ea9 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? 2010 IEEE international symposium on information theory , pages=
Reference 32
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Observation fecc2aab-42e0-4118-adb7-7762066cd8aa · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? The Annals of Statistics , pages=
Reference 33
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Observation 35cce021-12d5-4557-bcf2-44850108431d · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Journal of the American Mathematical Society , volume=
Reference 34
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Observation 08224f79-aff8-4194-8655-dfb55b3dc22b · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Unresolved cited work
Reference 35
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Unavailable: canonical work link unavailable.
Observation 41c391e4-3b69-4710-859a-4d663e3753a3 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Proceedings of the 20th International Database Engineering & Applications Symposium , year=
Reference 36
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Observation 4cde505f-f4dd-4c5a-9bcd-f249bae6e009 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Workshop on Multimedia & Security , year=
Reference 38
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Observation 74343220-6812-495b-b5e2-34e4549bd66d · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? , title =
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1badcb6e-2452-4625-b1c3-7289a3132288 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Unresolved cited work
Reference 41
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Observation 64e11607-5ca7-4adf-9d04-6f5b8d625f27 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Information Hiding , year=
Reference 42
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Observation f3ac9b67-a1a8-40af-8b5d-8fb65af8a069 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? 2021 IEEE Symposium on Security and Privacy (SP) , pages=
Reference 43
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Observation 03302a92-b7e6-4152-807c-951882d557eb · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? 33rd USENIX Security Symposium (USENIX Security 24) , pages=
Reference 45
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Observation 6d732c08-aed8-498e-99d1-8c302114a725 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Structure and Interpretation of Computer Programs
Reference 46
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Observation 133f4b3d-0ed9-4e08-8d4d-83d31cabd55e · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Visual Information Extraction with Lixto
Reference 47
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Observation 07cb9ca3-d64a-4280-8848-ef357aebb3bc · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Brachman and James G
Reference 48
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Observation eab21692-8ae5-4c91-a308-52021095c196 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Complexity results for nonmonotonic logics
Reference 49
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Observation 58bf73d3-d59e-42af-86e5-941975c2f6b4 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Hypertree Decompositions and Tractable Queries
Reference 50
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Observation 629caf91-80c2-4803-b434-a6998b0e6fdd · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Levesque
Reference 51
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Observation 96b9e367-834f-41fa-9e86-96597e8e91e8 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Levesque
Reference 52
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Observation 6b6d5d62-ef49-4d15-8bba-2b765ed6e7b7 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? On the compilability and expressive power of propositional planning formalisms
Reference 53
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Unavailable: canonical work link unavailable.
Observation 1b0a5f9c-99af-477f-b0f6-b68a6a190e21 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Adversarial watermarking transformer: Towards tracing text provenance with data hiding
Reference 54
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Observation d00d01c3-344e-4b49-b2d0-e55692faa935 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? GPT-4 Technical Report
Reference 55
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Observation 3c0c714a-b6b1-4fd3-86f6-9d6b9852f882 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Claude 3 model family: Opus, sonnet, haiku, 2024
Reference 56
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Unavailable: canonical work link unavailable.
Observation 73a89bdf-23a0-4f1b-aba5-3cc4b408d5cb · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Atallah, Victor Raskin, Michael Crogan, Christian F
Reference 57
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Unavailable: canonical work link unavailable.
Observation 5837aaf4-a0cc-432a-b1aa-f8c243f64608 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Robust principal component analysis? Journal of the ACM (JACM) , 58(3):1--37, 2011
Reference 58
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Unavailable: canonical work link unavailable.
Observation ef9fb4c5-45c5-4322-b492-8bf69eaf296f · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Cryptanalytic extraction of neural network models
Reference 59
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Observation c592aa7b-14a8-4fcc-af6d-af47ff3d13bb · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Polynomial Time Cryptanalytic Extraction of Deep Neural Networks in the Hard-Label Setting
Reference 60
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Unavailable: canonical work link unavailable.
Observation 3c42abf6-f1ef-4a00-b1dc-878cc251cc65 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Stealing Part of a Production Language Model
Reference 61
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Observation 1a2a22e2-b250-47e0-b9a5-8879674938da · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? The Llama 3 Herd of Models
Reference 62
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Observation d687641a-bb52-45bd-9440-16ac05df958c · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Maybank, and Dacheng Tao
Reference 63
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Observation abc6adaa-4282-40c9-8fef-e18a306006e9 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Measuring massive multitask language understanding, 2021
Reference 64
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Unavailable: canonical work link unavailable.
Observation a63f7892-f6d2-4b63-b1a7-786e90123acd · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? High accuracy and high fidelity extraction of neural networks
Reference 65
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Observation f204d5c6-eb55-4271-b8a5-67cf98478f02 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? A watermark for large language models
Reference 66
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Observation ad2deb98-b2bc-43be-abaa-ddb46904ec42 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Statistical analysis of effective singular values in matrix rank determination
Reference 67
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Observation f5634625-0c6f-4d12-9f95-d43a80ee1172 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Waterfall: Framework for Robust and Scalable Text Watermarking and Provenance for LLMs
Reference 68
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Observation ef83bd5e-376f-4041-a7b1-37ac11a37262 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? u lent Sankur, A. Sumru \
Reference 69
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Observation aef8e46c-4348-4264-b0ae-776931aa624b · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Model reconstruction from model explanations
Reference 70
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Unavailable: canonical work link unavailable.
Observation f24e6783-5e03-4c3b-b419-b8901de594a2 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Language Model Inversion
Reference 71
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Unavailable: canonical work link unavailable.
Observation 8f8c5357-dc16-48a1-841c-94c58cbdf81f · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated Text
Reference 72
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Unavailable: canonical work link unavailable.
Observation 940267f0-0085-4708-851d-1d93c3e69aa9 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? BLAKE3 : A highly parallel cryptographic hash function, 2020
Reference 73
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Observation 7694e71f-2275-4e61-8c54-99aa4ab57ea6 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Unresolved cited work
Reference 74
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Observation 32a4b5b9-0027-4720-85ad-d22fa44f247c · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Unispach: A text-based data hiding method using unicode space characters
Reference 75
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Unavailable: canonical work link unavailable.
Observation c6a843eb-b0d6-406d-8e33-3d29e69db2c4 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Unresolved cited work
Reference 76
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Unavailable: canonical work link unavailable.
Observation a1934ba0-bf18-4772-b9f3-1aaee8079f76 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Microsoft probing if deepseek-linked group improperly obtained openai data
Reference 77
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Unavailable: canonical work link unavailable.
Observation 4ae5edd3-41e8-4775-8445-a0e3be2bb2cd · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Content-preserving text watermarking through unicode homoglyph substitution
Reference 78
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Unavailable: canonical work link unavailable.
Observation be598b8f-fdef-4e69-996e-6a372d231f1a · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Reverse-engineering deep relu networks
Reference 79
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Unavailable: canonical work link unavailable.
Observation 9408fab9-d14d-48e6-85b1-70ab76f4b0d3 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Perturbation theory for the singular value decomposition
Reference 80
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Unavailable: canonical work link unavailable.
Observation b3c33400-ff0a-4c98-8bd4-cefdffb1012d · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Gemini: A Family of Highly Capable Multimodal Models
Reference 81
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Unavailable: canonical work link unavailable.
Observation 989aa7fb-bfc4-4ecd-9b27-4b510d2b18a2 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Unresolved cited work
Reference 82
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Unavailable: canonical work link unavailable.
Observation fbabd3cd-e8bd-414e-a836-a53c7d71181e · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Unresolved cited work
Reference 83
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Unavailable: canonical work link unavailable.
Observation 2c01bafc-8b74-424d-8a54-7b624bc58497 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Reiter, and Thomas Ristenpart
Reference 84
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Unavailable: canonical work link unavailable.
Observation 248d8216-3eac-4328-8306-9df7fb79fefa · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? High-dimensional probability: An introduction with applications in data science , volume 47
Reference 85
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Unavailable: canonical work link unavailable.
Observation 8554e566-ffce-4d0d-b88a-09b9043340f4 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Das asymptotische verteilungsgesetz der eigenwerte linearer partieller differentialgleichungen (mit einer anwendung auf die theorie der hohlraumstrahlung)
Reference 86
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Observation 90fc797e-7a2e-4b32-b334-a2c09a41e221 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? A survey on knowledge distillation of large language models, 2024
Reference 87
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Observation 30c78ea2-b86b-4ec0-b3e9-f944691ba67f · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Watermarking Text Generated by Black-Box Language Models
Reference 88
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Observation d50c5065-4313-4c8d-be07-d1a719bda8e3 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? \ REMARK-LLM \ : A robust and efficient watermarking framework for generative large language models
Reference 89
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Unavailable: canonical work link unavailable.
Observation 9b6d2cfc-4d52-4ef7-baef-eb252a22c415 · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Protecting language generation models via invisible watermarking
Reference 90
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Observation 43880f62-9744-42f0-b81e-87ea27f6a84a · outbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? Stable principal component pursuit
Reference 91
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No inbound Pith citation observations are available.