Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:15:06.260547Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 3 inbound Pith citation observations for arXiv:2506.22343.
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 2026-08-06T22:15:06.260547Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-03T21:55:33.687210Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T21:58:58.342979Z
48 of 48 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 6a76a23e-8ccf-4d35-9044-3939806ad565 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Aaronson
Reference 1
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Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work
Reference 2
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Observation 6f96d272-40be-4bae-99e4-760cb4dac358 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts On the Opportunities and Risks of Foundation Models
Reference 3
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Observation 19897a03-f3ad-4bc9-8a37-0dd6cf82011f · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Brown, B
Reference 4
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Observation 2c9c8560-658a-45cb-ba75-af0e4e6ead44 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work
Reference 5
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Observation 16ab0b5f-3d4f-4f1e-87e4-e350db3b4e11 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Cohan, F
Reference 6
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Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Under the Surface: Tracking the Artifactuality of LLM-Generated Data
Reference 7
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Observation 13072b1a-af73-4d0c-b8a7-4702f5915f6f · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Dathathri, A
Reference 8
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Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work
Reference 9
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Observation 2972827a-4982-4da9-a063-134b7b00cd2b · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Donoho and J
Reference 10
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Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts The Llama 3 Herd of Models
Reference 11
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Observation b2416642-7c70-4318-9735-8ce25696bd32 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Dugan, D
Reference 12
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Observation 1924ca3e-9bfb-4f9d-8d22-ffa7aef69c15 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work
Reference 13
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Observation a42cc0ec-72ad-4d6b-8461-2e1c7871a544 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work
Reference 14
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Observation c4743e49-85cc-41d8-b050-514f746092fa · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Kirchenbauer, J
Reference 15
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Observation 37c7002e-f2f4-4d23-9d9c-1adec0796975 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Kirchenbauer, J
Reference 16
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Observation f0e1e2e7-68d4-48bf-9abf-bac8102afd69 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Kuditipudi, J
Reference 17
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Observation 9dbc5f79-7053-41b4-8e8e-d24497c872df · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work
Reference 18
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Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work
Reference 19
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Observation f0751254-3b24-4f04-83a9-df8824f460c0 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work
Reference 20
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Observation d7491183-8dff-4b7c-bf04-182b903bfd16 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Liang, Z
Reference 21
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Observation 56f5316d-25ca-49d5-b0f6-30cf19b46db0 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Milano, J
Reference 22
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Observation c44107d3-66ac-4d1d-a799-9bcd03a84e02 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts ChatGPT: Optimizing language models for dialogue.http://web.archive.org/web/ 20230109000707/https://openai.com/blog/chatgpt/, Jan 2023
Reference 23
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Observation f1e74f5c-4983-4ebd-8c14-fcfe7461223c · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Mark My Words: Analyzing and Evaluating Language Model Watermarks
Reference 24
Source-reported events for the cited work
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Observation f3154959-cbaa-406a-ab62-ff201575d905 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Radford, J
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04a310d4-e7cb-4dbe-aa0c-414123e8f13d · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Radford, J
Reference 26
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Observation 65abf6ee-f455-411e-ba2f-eef3105430e3 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Raffel, N
Reference 27
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Observation dbf439ea-48c6-4185-ba0a-d56b3a0d2603 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work
Reference 28
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Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Starbird
Reference 29
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Observation 2ad960ca-489d-4008-a3ed-f87f52489eb0 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Thomas and A
Reference 30
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Observation 7f293ceb-2336-480a-a19f-32f97663a8c4 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work
Reference 31
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Observation 9024cffe-f026-4e51-9cc9-e8ca8c7d1f60 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Vaswani, N
Reference 32
Source-reported events for the cited work
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Observation 894d3a56-a9a2-40a8-8048-445b4ad7fddb · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Virtanen, R
Reference 33
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Observation e7c7955c-5a08-4c7a-8b92-a1c2dd34f988 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work
Reference 34
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Observation 7971e2e9-3ffd-4900-8e58-3c6c7103c166 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work
Reference 35
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Observation 2cc5b198-57ae-4389-aa71-b8edc14f743b · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
Reference 36
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Observation 22bb54c8-7c40-4e9f-9e8d-38523ec25443 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work
Reference 37
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Observation 6c7be41c-6573-49ce-911c-14aee71ce202 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Debiasing Watermarks for Large Language Models via Maximal Coupling
Reference 38
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Observation adff9e95-8cf0-47e8-a5e9-b2f5b4acb1e9 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Measuring Human Contribution in AI-Assisted Content Generation
Reference 39
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Observation a70eb8c1-61be-48a9-affa-bcb3b054276c · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Zhang, C
Reference 40
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Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts OPT: Open Pre-trained Transformer Language Models
Reference 41
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Observation e35df4ee-3f0c-4fd6-8c7d-a80cff16f09a · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work
Reference 42
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Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs
Reference 43
Source-reported events for the cited work
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Observation bdb8da1f-d552-4eab-9303-ab7ae651dfe4 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Efficiently Identifying Watermarked Segments in Mixed-Source Texts
Reference 44
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Observation cb7f88ce-41cd-4fb9-8884-14f84f6d13bb · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work
Reference 45
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Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts 1 n nX t=1 pt(ε) # 1 −
Reference 46
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Observation c3f2be24-d458-49db-b6e8-5b8854959f21 · outbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work
Reference 47
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Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts scipy.optimize.minimize
Reference 48
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Fundamental Trade-Offs in Multi-Bit Watermarking of Stochastic Processes Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts
Reference 42
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Sample Complexities of Estimating Gumbel--Max Watermark Proportions with and without Reduction to Pivotal Statistics Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts
Reference 30
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Sample Complexities of Estimating Gumbel--Max Watermark Proportions with and without Reduction to Pivotal Statistics Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts
Reference 30
Source-reported events for the cited work
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