Paper Citation Record · LEDGER

Adaptive Text Watermark for Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2401.13927.

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

pith.paper-citation-record.v1
2401.13927 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:57:37.932494Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T10:01:23.716156Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9cb46d37-0f79-4674-a325-aad6ae49be01 · inbound

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack cites this paper.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Adaptive Text Watermark for Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:37.932494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9788929a-3801-4502-bbcf-9fcba5e1211d · inbound

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

Enhancing Watermarking Quality for LLMs via Contextual Generation States Awareness Adaptive Text Watermark for Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:02.549733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddd2396e-4cb8-42b1-a859-60933e6129cb · inbound

Disappearing Ink: Obfuscation Breaks N-gram Code Watermarks in Theory and Practice cites this paper.

Disappearing Ink: Obfuscation Breaks N-gram Code Watermarks in Theory and Practice Adaptive Text Watermark for Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:25.580763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef6a9ef8-08e9-4381-bcb4-c7d3561c011b · inbound

Invariant-based Robust Weights Watermark for Large Language Models cites this paper.

Invariant-based Robust Weights Watermark for Large Language Models Adaptive Text Watermark for Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:05.014843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 303b600e-6ddd-43e4-890a-c52754b2ed92 · 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 Adaptive Text Watermark for Large Language Models

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:46:53.068417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f36c708e-4fad-424f-8430-14907c82447f · 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 Adaptive Text Watermark for Large Language Models

Reference 146

Resolution: unresolved; no resolver link, observed 2026-08-04T22:33:33.226607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e01e2f6-37f4-4a3b-800e-d88b1f8b066d · inbound

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

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption Adaptive Text Watermark for Large Language Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:25:54.421031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4db1622-c72a-44bb-ade2-f07770cf3a52 · inbound

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

Towards Robust Content Watermarking Against Removal and Forgery Attacks Adaptive Text Watermark for Large Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:26:01.161918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a79df241-5781-4508-908a-fb2b8d6e33db · 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 Adaptive Text Watermark for Large Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:10:57.962330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6284178b-ab70-4e1c-88d8-fd89c55ce313 · inbound

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

SLAM: Structural Linguistic Activation Marking for Language Models Adaptive Text Watermark for Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:21:07.063603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 977ca5aa-e47a-4626-bb7d-9e7a5da02bf6 · inbound

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection cites this paper.

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection Adaptive Text Watermark for Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-13T03:47:11.942038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8375a3df-04bd-444d-8ddf-113ed1132920 · inbound

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection cites this paper.

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection Adaptive Text Watermark for Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:01:23.719304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.