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Paper Citation Record · LEDGER

Robust Distortion-free Watermarks for Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 56 inbound Pith citation observations for arXiv:2307.15593.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2307.15593 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 56 of 56 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:39.658557Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

18
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8a9134ab-733e-4d11-b62b-fa4289241e1d · inbound

Can AI-Generated Text be Reliably Detected? cites this paper.

Can AI-Generated Text be Reliably Detected? Robust Distortion-free Watermarks for Language Models

Reference 28

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verified exact
arxiv_id, observed 2026-05-20T19:29:45.412605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-20T19:29:45.315242Z digest=sha256:b4d5c43c917db890bf356a76869eae9e0ac3714904c9294a61a47dedb7646c1d

Observation 894c8cb2-a7e3-4c30-a239-d9cac711f4ed · inbound

Topic-Based Watermarks for Large Language Models cites this paper.

Topic-Based Watermarks for Large Language Models Robust Distortion-free Watermarks for Language Models

Reference 24

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arxiv_id, observed 2026-05-24T02:03:43.947218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-24T02:03:15.833131Z digest=sha256:191640e737df6aad16a55670663cab130b3465d82503c2131bfc7e71efbc89b3

Observation 61d4f88a-a350-4fae-a684-6ba0809c43c6 · inbound

Debiasing Watermarks for Large Language Models via Maximal Coupling cites this paper.

Debiasing Watermarks for Large Language Models via Maximal Coupling Robust Distortion-free Watermarks for Language Models

Reference 2022

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no resolver link, observed 2026-08-12T18:57:30.290146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:57:30.290146Z digest=sha256:94ad38ccca54ef68c6598ce67ee02e2a0702c937a04a338633a5ce54096a6b64

Observation dc708d5f-4f0b-4839-acc8-4beda1c5d60d · inbound

SoK: On the Role and Future of AIGC Watermarking in the Era of Gen-AI cites this paper.

SoK: On the Role and Future of AIGC Watermarking in the Era of Gen-AI Robust Distortion-free Watermarks for Language Models

Reference 26

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no resolver link, observed 2026-08-12T18:31:34.257192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:31:34.257192Z digest=sha256:4b574803f1b66577a77935801cae2706cac8201cdcc17145d0706518b6a2ed9a

Observation 5b2a31f2-b3f1-40e9-b52e-e79ee7882fb7 · inbound

SoK: Watermarking for AI-Generated Content cites this paper.

SoK: Watermarking for AI-Generated Content Robust Distortion-free Watermarks for Language Models

Reference 68

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no resolver link, observed 2026-08-12T11:13:54.622015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:13:54.622015Z digest=sha256:636f2ecb1e5006f740ce39a7d8d923d800443e351a274a447409d9165242d703

Observation 38abe747-e219-4c14-a9e8-1ff6c613ce0e · inbound

Ensemble Watermarks for Large Language Models cites this paper.

Ensemble Watermarks for Large Language Models Robust Distortion-free Watermarks for Language Models

Reference 26

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no resolver link, observed 2026-08-12T10:09:20.832429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.832429Z digest=sha256:570ffb99ed81e18d6bbb727b241e77542bd32f73d7871904aae512037142e3da

Observation d02a5c19-3405-4208-998b-3e6aa198cf57 · inbound

Robust Multi-bit Text Watermark with LLM-based Paraphrasers cites this paper.

Robust Multi-bit Text Watermark with LLM-based Paraphrasers Robust Distortion-free Watermarks for Language Models

Reference 7

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no resolver link, observed 2026-08-11T22:49:58.547068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:49:58.547068Z digest=sha256:7ebed12c198b7957e893fbf338adc314d5bbfffe458692d1f0f44ccc3ba2879a

Observation 5e7444d2-7d91-4f76-a2a5-07fc9a5feecc · inbound

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection cites this paper.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Robust Distortion-free Watermarks for Language Models

Reference 9

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no resolver link, observed 2026-08-11T14:56:47.833459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:56:47.833459Z digest=sha256:7b5a5d99dd6c3b115253f877c8aefebb7e62fd7da7edcaaefda25fe89a89ce05

Observation 46e8e29a-c101-41cf-9606-05d2afb91ff2 · inbound

BiMarker: Enhancing Text Watermark Detection for Large Language Models with Bipolar Watermarks cites this paper.

BiMarker: Enhancing Text Watermark Detection for Large Language Models with Bipolar Watermarks Robust Distortion-free Watermarks for Language Models

Reference 18

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no resolver link, observed 2026-08-10T17:36:52.802135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:36:52.802135Z digest=sha256:7e30679d36e81721ddf35a445e1eb9e16dd6266e0a93ebfe6c7084200a5bfa6d

Observation 917474c1-7ea2-4c81-9777-deaacdd60ff0 · inbound

GaussMark: A Practical Approach for Structural Watermarking of Language Models cites this paper.

GaussMark: A Practical Approach for Structural Watermarking of Language Models Robust Distortion-free Watermarks for Language Models

Reference 64

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no resolver link, observed 2026-08-10T19:12:46.037979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:12:46.037979Z digest=sha256:aded84a2384a4b634decdbddb05f4d2ea1047e83acf9afd7c16642498ab72db6

Observation 57565829-05b2-44d9-8d14-08b553ad6282 · inbound

Distributional Information Embedding: A Framework for Multi-bit Watermarking cites this paper.

Distributional Information Embedding: A Framework for Multi-bit Watermarking Robust Distortion-free Watermarks for Language Models

Reference 5

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no resolver link, observed 2026-08-10T12:32:06.057736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:32:06.057736Z digest=sha256:7271178da8adb776c730f45d8cf69fb3b1a828f0dfa227d05c9fe15782937cec

Observation d64f303a-45fc-4724-9099-fecd9ffde321 · inbound

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation cites this paper.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation Robust Distortion-free Watermarks for Language Models

Reference 13

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no resolver link, observed 2026-08-16T12:40:39.658557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:39.658557Z digest=sha256:846fc22eae8590046f2354d08d4f91fecfc2ab10d3f0e553e0163ebb94acbaf0

Observation 3c73bd26-6dab-4f8a-b5d6-27fc757ce968 · inbound

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality cites this paper.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Robust Distortion-free Watermarks for Language Models

Reference 24

Resolution
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no resolver link, observed 2026-08-16T10:46:38.169315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.169315Z digest=sha256:d0e0ca577e0e4c679cf505eb2a54ffc8e81db725a6cd076bb7b5a8cac7be6093

Observation eef50d41-8203-428c-bf1c-dde98f5519e4 · inbound

LLM Watermarking Using Mixtures and Statistical-to-Computational Gaps cites this paper.

LLM Watermarking Using Mixtures and Statistical-to-Computational Gaps Robust Distortion-free Watermarks for Language Models

Reference 12

Resolution
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no resolver link, observed 2026-08-16T04:31:09.281989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:31:09.281989Z digest=sha256:4acb0cd24246c9a6e36620f6abc876d0a203de1c4b70e9efa4417c1836b7b14e

Observation 921c91e7-611a-41c0-b0fe-66a358d0dcff · inbound

Sandcastles in the Storm: Revisiting the (Im)possibility of Strong Watermarking cites this paper.

Sandcastles in the Storm: Revisiting the (Im)possibility of Strong Watermarking Robust Distortion-free Watermarks for Language Models

Reference 16

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no resolver link, observed 2026-08-15T22:40:34.393192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:40:34.393192Z digest=sha256:4239c37526df442c4b52fc0fa58405c4328834c1cd36f9c2c458fc7839899f83

Observation a19f4026-a00c-49b4-bf1d-fdcb8a2f310b · inbound

Optimized Couplings for Watermarking Large Language Models cites this paper.

Optimized Couplings for Watermarking Large Language Models Robust Distortion-free Watermarks for Language Models

Reference 7

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no resolver link, observed 2026-08-15T21:53:00.714246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:53:00.714246Z digest=sha256:8144206f854329794cfed3158adfa59022c09e761ea5d72e557a209e317afca1

Observation ccc6a12d-5f6c-413b-9968-0adb408d2b92 · inbound

From Trade-off to Synergy: A Versatile Symbiotic Watermarking Framework for Large Language Models cites this paper.

From Trade-off to Synergy: A Versatile Symbiotic Watermarking Framework for Large Language Models Robust Distortion-free Watermarks for Language Models

Reference 28

Resolution
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no resolver link, observed 2026-08-15T21:25:46.926076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:25:46.926076Z digest=sha256:49648a9a3cf00cc502e63cf45ae240661bd5d43d7915103da58f124d0dd144a1

Observation 912a48ac-7317-4a67-976a-b5ae4310b709 · inbound

RAFP: Identifying LLM Lineages via Rare-Region Fingerprints cites this paper.

RAFP: Identifying LLM Lineages via Rare-Region Fingerprints Robust Distortion-free Watermarks for Language Models

Reference 12

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no resolver link, observed 2026-08-15T20:34:45.102047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:34:45.102047Z digest=sha256:e32ca448dfb3f1b2df05424e22de1d63569163bebce058aba9784db75d153ee0

Observation da53c225-7f1e-4105-b0df-9f5cd724fbdd · inbound

Attacks on Machine-Text Detectors Retain Stylistic Fingerprints cites this paper.

Attacks on Machine-Text Detectors Retain Stylistic Fingerprints Robust Distortion-free Watermarks for Language Models

Reference 14

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no resolver link, observed 2026-08-07T15:37:14.041361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:37:14.041361Z digest=sha256:3229047d3e22ef632407138af25483709736f5c3a424b82b4738913f00b826fa

Observation 3e531a87-2fc6-42d6-9267-dcea0ee856cd · inbound

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection cites this paper.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Robust Distortion-free Watermarks for Language Models

Reference 23

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no resolver link, observed 2026-08-07T12:37:06.595951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:06.595951Z digest=sha256:2994d0df182ae947293a3ea3bdd7fb1a544bfd8bc4dcda57f5a4e3a27a6595e4

Observation 5a74bc96-ba1e-4986-97fa-bbb4883318b2 · inbound

Enhancing Watermarking Quality for LLMs via Contextual Generation States Awareness cites this paper.

Enhancing Watermarking Quality for LLMs via Contextual Generation States Awareness Robust Distortion-free Watermarks for Language Models

Reference 21

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no resolver link, observed 2026-08-07T05:41:02.581169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:41:02.581169Z digest=sha256:9d346e683096068e521ac09f6712a4869d3cb50174f190cb7a36c6c67993ff33

Observation 4517af35-a311-45a5-a753-49030cbbfbf6 · inbound

A Watermark for Auto-Regressive Image Generation Models cites this paper.

A Watermark for Auto-Regressive Image Generation Models Robust Distortion-free Watermarks for Language Models

Reference 14

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no resolver link, observed 2026-08-07T04:19:02.381094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:19:02.381094Z digest=sha256:afb84c491d854919ea2d63ec84489893ee55f7dd8a758b4a7103dbb3c8e20285

Observation 643689e0-a60f-408d-bb3c-5aee821281a7 · inbound

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems cites this paper.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Robust Distortion-free Watermarks for Language Models

Reference 107

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no resolver link, observed 2026-08-15T19:15:15.129911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:15:15.129911Z digest=sha256:68fdf287d6e695ab25f4ea1797b7d5f5b0a1809a6eb6ea7fc7ff1d4c017202da

Observation ba21ed4f-3d5b-4289-aeeb-569995280a80 · inbound

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings cites this paper.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Robust Distortion-free Watermarks for Language Models

Reference 48

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no resolver link, observed 2026-08-06T22:50:00.336960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:50:00.336960Z digest=sha256:46daf3c688e5834e021a60a93982b16dcb94ddf81b7a8ba1be160f9865cf6594

Observation e5d1e880-3476-4d3d-89aa-1e70d1d34225 · inbound

The Societal Impact of Foundation Models: Advancing Evidence-based AI Policy cites this paper.

The Societal Impact of Foundation Models: Advancing Evidence-based AI Policy Robust Distortion-free Watermarks for Language Models

Reference 2025

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no resolver link, observed 2026-08-06T21:53:17.215298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:53:17.215298Z digest=sha256:93f1b07172592630f8bd913256dcfa7a2d15bd1c0df2880d761e9c0335273ece

Observation a7d0bc7c-5139-4fe6-96c0-d8749a83e42e · inbound

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection cites this paper.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Robust Distortion-free Watermarks for Language Models

Reference 11

Resolution
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no resolver link, observed 2026-08-06T11:08:34.556413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:08:34.556413Z digest=sha256:edc6526a0d8ddfeec07e660e01a3bb1a10e5a5e54adce2b4b48c0c29c967642c

Observation 3016596c-def7-4696-9ee1-a862ed0aacd1 · inbound

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends cites this paper.

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends Robust Distortion-free Watermarks for Language Models

Reference 78

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verified exact
arxiv_id, observed 2026-05-18T22:46:53.353610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T22:45:31.935618Z digest=sha256:60215f5eb9104f1098c87eb171405d981abae62bc3c7f7fddc19f56ce59361de

Observation 55dd15ed-7a7e-4986-a198-4fff23c89ea4 · inbound

Optimizing Token Choice for Code Watermarking: An RL Approach cites this paper.

Optimizing Token Choice for Code Watermarking: An RL Approach Robust Distortion-free Watermarks for Language Models

Reference 11

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no resolver link, observed 2026-08-05T19:46:12.279986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:46:12.279986Z digest=sha256:41447759a8b63aa90c20eee0d2ac400d924c0bad05661a34dcf9f0adf0c341e8

Observation b328eb00-b513-4dae-922f-e3cd88570344 · inbound

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm cites this paper.

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm Robust Distortion-free Watermarks for Language Models

Reference 145

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unresolved
no resolver link, observed 2026-08-04T22:33:32.889132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:33:32.889132Z digest=sha256:663d892f8321c9c67a39db0b693e0c45b4ebb2e8bda152b59c5138f9de05abab

Observation 3dde08bb-842c-49fb-869d-762eabf1e434 · inbound

AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs cites this paper.

AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs Robust Distortion-free Watermarks for Language Models

Reference 42

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unresolved
no resolver link, observed 2026-08-15T16:25:35.562902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:25:35.562902Z digest=sha256:dc79ed22a23fc30c88e97fd02287c747607a47dc519e7f090ca4abcc7198ea16

Observation 8b069a85-d9fe-4dee-a230-2cb546cf54dd · inbound

RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks cites this paper.

RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks Robust Distortion-free Watermarks for Language Models

Reference 16

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verified exact
arxiv_id, observed 2026-05-18T14:26:28.088386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-18T14:25:25.576642Z digest=sha256:0026cdefff12d89f71db2716aa1a77828a4f030722bd548cffa11855b28af307

Observation 03245e01-ffcc-4ace-bedc-9d6367f628a8 · inbound

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption cites this paper.

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption Robust Distortion-free Watermarks for Language Models

Reference 34

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verified exact
arxiv_id, observed 2026-05-18T05:25:54.366578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T05:24:25.622071Z digest=sha256:fa90e63f678327d45d8e9d92413dcaf3bc7c6304270efc841f1a4b5684dc3b31

Observation acc82808-4e9c-4943-a47f-47528d01ad29 · inbound

SWaRL: Safeguard Code Watermarking via Reinforcement Learning cites this paper.

SWaRL: Safeguard Code Watermarking via Reinforcement Learning Robust Distortion-free Watermarks for Language Models

Reference 27

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verified exact
arxiv_id, observed 2026-05-16T17:18:09.513065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T17:16:48.934639Z digest=sha256:a9ce650e707b371618ae027f81f73b92c182fdaf64c3214ee7a3b8ed013e83d9

Observation 8a7db0ae-1e62-4f6b-b0c6-30069a17763a · inbound

ArcMark: Distortion-Free Multi-Byte LLM Watermark via Optimal Transport cites this paper.

ArcMark: Distortion-Free Multi-Byte LLM Watermark via Optimal Transport Robust Distortion-free Watermarks for Language Models

Reference 8

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verified exact
arxiv_id, observed 2026-05-25T07:05:26.637117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T07:03:51.798036Z digest=sha256:67b3ef3e86fca36ca3eb96f2ff22b22b4d85f765b33afb271a79c490aa818539

Observation fa36cb93-b4f2-42e3-9cf3-b8ff632fdfe4 · inbound

Undetectable Conversations Between AI Agents via Pseudorandom Noise-Resilient Key Exchange cites this paper.

Undetectable Conversations Between AI Agents via Pseudorandom Noise-Resilient Key Exchange Robust Distortion-free Watermarks for Language Models

Reference 5

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verified exact
arxiv_id, observed 2026-05-10T23:00:48.495304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T19:25:44.174816Z digest=sha256:9aa6f08ccfe609f9f9f2c9fa3f87fa3fa0fdd72fbbdd2b0bd22ecbebf3dd00b4

Observation fb9ff82a-b240-4bd5-8879-2486ecd2c19a · inbound

Towards Robust Content Watermarking Against Removal and Forgery Attacks cites this paper.

Towards Robust Content Watermarking Against Removal and Forgery Attacks Robust Distortion-free Watermarks for Language Models

Reference 32

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verified exact
arxiv_id, observed 2026-05-11T05:26:00.971355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T18:08:01.503806Z digest=sha256:d28f3da4d465140de2728fb126782b2d72f0c547f4842775e08d330aee587fcf

Observation 830e956b-5a04-408a-8166-fb5a4e3ad389 · inbound

Optimal Multi-bit Generative Watermarking Schemes Under Worst-Case False-Alarm Constraints cites this paper.

Optimal Multi-bit Generative Watermarking Schemes Under Worst-Case False-Alarm Constraints Robust Distortion-free Watermarks for Language Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:10:58.116597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T16:48:41.367877Z digest=sha256:e7f43c482a737318f81cab9e668a0241417cb72f3115fa3efff8c3fa1c6696e6

Observation 1ccce8d9-1bcc-4ef9-a39d-66394553f399 · inbound

RLSpoofer: A Lightweight Evaluator for LLM Watermark Spoofing Resilience cites this paper.

RLSpoofer: A Lightweight Evaluator for LLM Watermark Spoofing Resilience Robust Distortion-free Watermarks for Language Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:41:06.019016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T15:21:42.253396Z digest=sha256:4226c04843467dcf11fcdd06e3a3a15d626c12b0227105f61977e073c02dc451

Observation 28cef31e-4aec-42e8-98d4-9b0ad4c4772c · inbound

Can we Watermark Low-Entropy LLM Outputs? cites this paper.

Can we Watermark Low-Entropy LLM Outputs? Robust Distortion-free Watermarks for Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:56:05.414789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T15:15:18.837204Z digest=sha256:10246d9c394f568c8516aba60394596c0b4636874ab6cadf0a82cd8b0e7a44be

Observation c16b735f-d16b-4035-b44d-a376ffd56418 · inbound

Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking cites this paper.

Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking Robust Distortion-free Watermarks for Language Models

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:31:06.008844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-09T19:52:21.350072Z digest=sha256:4d1ec3e8e41cfb3701c8b0d081eadf2058a79ddd7c730c40718cfd7cde8d2595

Observation 1e43fa48-d6fe-460c-82cb-27c83b4da9b2 · inbound

Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking cites this paper.

Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking Robust Distortion-free Watermarks for Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:25:33.381611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-01T08:18:41.830466Z digest=sha256:00b9b742d467631d0839f87683b945d7c452433dc1f57b0b363d927b3ea170ae

Observation 91262793-fcfe-4961-aad6-8d15fca80efc · inbound

SWAN: Semantic Watermarking with Abstract Meaning Representation cites this paper.

SWAN: Semantic Watermarking with Abstract Meaning Representation Robust Distortion-free Watermarks for Language Models

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:51:09.563669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-08T17:00:12.024370Z digest=sha256:5c91e5b785506c2f360343d093f403930d1387d0b760f88f801cecae05fcf87a

Observation 4ac332c1-3949-4178-9350-ff21a17c3367 · inbound

SLAM: Structural Linguistic Activation Marking for Language Models cites this paper.

SLAM: Structural Linguistic Activation Marking for Language Models Robust Distortion-free Watermarks for Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:21:07.148463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T16:17:22.003460Z digest=sha256:3a1e05461e6aabea83b11006daa8c695d5832c9d3dd3a3c0679a0565bfd3244f

Observation ef480b7a-a763-4f80-882d-7dd4bc931f40 · inbound

Response Time Enhances Alignment with Heterogeneous Preferences cites this paper.

Response Time Enhances Alignment with Heterogeneous Preferences Robust Distortion-free Watermarks for Language Models

Reference 102

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:45:59.997814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-11T01:04:26.288913Z digest=sha256:3ebdcbd37a7b2eb2ec01897c83ab9bad9de01d039c96fa039f28691bbcfc2d76

Observation 2479245a-f307-48d7-bf16-3f98691bac0f · inbound

Fundamental Trade-Offs in Multi-Bit Watermarking of Stochastic Processes cites this paper.

Fundamental Trade-Offs in Multi-Bit Watermarking of Stochastic Processes Robust Distortion-free Watermarks for Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:56:25.772304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T01:32:57.175350Z digest=sha256:1a13de912bbc98b93c87dbc151f2740f7ba9afda6830fbe218ab504b1054f100

Observation cc967d56-cd9b-4512-82fe-0126f7a94939 · inbound

Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents cites this paper.

Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents Robust Distortion-free Watermarks for Language Models

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:21:16.206888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T02:21:12.882825Z digest=sha256:1aad1c945422cffa2b405219503e7e5b6939df84ed0e150660fd68801dca2f26

Observation 1b649800-0361-469d-be97-98fa03afb076 · inbound

On Seeding Watermarks to Detect Verbatim LLM Copy-Paste Responses cites this paper.

On Seeding Watermarks to Detect Verbatim LLM Copy-Paste Responses Robust Distortion-free Watermarks for Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-20T23:49:15.141680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T23:46:17.242517Z digest=sha256:f863aba3177b29ed958561608a74c382b37e3c546e00dd0dafc8da578a002f34

Observation 9d593c24-b4a1-4edb-b4cf-a682b31c6d93 · inbound

Verifiable Provenance and Watermarking for Generative AI: An Evidentiary Framework for International Operational Law and Domestic Courts cites this paper.

Verifiable Provenance and Watermarking for Generative AI: An Evidentiary Framework for International Operational Law and Domestic Courts Robust Distortion-free Watermarks for Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:19:33.351760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T04:17:02.233964Z digest=sha256:a1382f85ebb482d8af94c091b64353c3bac199e1dfb07725a2d0a3ce2fa5075b

Observation ecdbaf02-7096-4577-b55b-3b71d6e785d8 · inbound

SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness cites this paper.

SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness Robust Distortion-free Watermarks for Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:53:59.641423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T21:46:56.921674Z digest=sha256:c43b1056989c729843fb571f66ce36200f66addd9cca9a172e1a87139f8955bf

Observation 2ba232a8-1e8f-45c0-9222-e32d270f2c60 · inbound

SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness cites this paper.

SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness Robust Distortion-free Watermarks for Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T13:13:36.543845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:13:36.543845Z digest=sha256:9022d963a0599ba2936cc512ab1700c56005aca78eca36117cd0ac60be28b9f7

Observation fa038fef-0ff0-4342-b297-30750bf08966 · inbound

Unsupervised Style Representation Learning for AI-Text Detection via Paraphrase Inversion cites this paper.

Unsupervised Style Representation Learning for AI-Text Detection via Paraphrase Inversion Robust Distortion-free Watermarks for Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:57:30.228549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-27T16:54:51.908295Z digest=sha256:d37280a1065b53d52cbfc366b3892ddeeabb5ee9a6c55163a5b82986d9e42160

Observation c6d87a19-0262-4639-ab3b-714a57f06a3a · inbound

Signature filtering: a lightweight enhancement for statistical watermark detection in large language models cites this paper.

Signature filtering: a lightweight enhancement for statistical watermark detection in large language models Robust Distortion-free Watermarks for Language Models

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T01:10:19.954767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T01:06:00.529521Z digest=sha256:d91a32690ca8df0657f7f7454a86a35297c9a469e9a3a8442e4e2b019a20fd5f

Observation f3f3b013-3177-4523-a533-529c18f71f88 · inbound

Beyond Heuristic Tuning: Power-Calibrated LLM Watermarking cites this paper.

Beyond Heuristic Tuning: Power-Calibrated LLM Watermarking Robust Distortion-free Watermarks for Language Models

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-07-11T03:37:46.106359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T03:37:39.026079Z digest=sha256:849a58fa93203a2916a1425b47f502f2ac0f8381883f1e58a9984df09070a513

Observation 74ea1d42-2a4b-4673-9f4a-3357a682f2d1 · inbound

TRACE: A Two-Channel Robust Attribution Watermark via Complementary Embeddings for LLM-Agent Trajectories cites this paper.

TRACE: A Two-Channel Robust Attribution Watermark via Complementary Embeddings for LLM-Agent Trajectories Robust Distortion-free Watermarks for Language Models

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-10T08:06:57.816907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-10T08:04:07.266166Z digest=sha256:8415b116d84e8fa9c3a950aa20040fcbfa5db21eb23626049c288d960f567ce9

Observation 78d2c0a7-44a4-4e29-8cd5-eac08b364a18 · inbound

WaterMoE: Expert-Routing-based Watermarking for High Fidelity and Efficiency cites this paper.

WaterMoE: Expert-Routing-based Watermarking for High Fidelity and Efficiency Robust Distortion-free Watermarks for Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T06:36:31.896778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:36:31.896778Z digest=sha256:f0a7d21c3769abab4e6b47d5159206f8c44ba09b262f14cdb2e16df9e25b7e31

Observation a6464537-23f9-490e-81f4-60039c993a4a · inbound

WorldMark: A Plug-and-Play World Knowledge Interface for Cross-Host Language Model Watermarking cites this paper.

WorldMark: A Plug-and-Play World Knowledge Interface for Cross-Host Language Model Watermarking Robust Distortion-free Watermarks for Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T04:31:47.471636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:31:47.471636Z digest=sha256:4d497aaf8c51ad07a7059158f3bd80d03e81916437470dbc2f9680326e7b9a86