Paper Citation Record · LEDGER

Mark My Words: Analyzing and Evaluating Language Model Watermarks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2312.00273.

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

pith.paper-citation-record.v1
2312.00273 v3

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 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:15:25.478142Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:17:08.422285Z

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 b7a92831-f728-45a6-94e8-a635444e6f30 · inbound

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey cites this paper.

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey Mark My Words: Analyzing and Evaluating Language Model Watermarks

Reference 137

Resolution: unresolved; no resolver link, observed 2026-08-08T19:15:25.478142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93cbac66-207b-41d7-a913-0cb8d89951bd · inbound

StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models cites this paper.

StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models Mark My Words: Analyzing and Evaluating Language Model Watermarks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:32:26.310699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1e74f5c-4983-4ebd-8c14-fcfe7461223c · inbound

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts cites this paper.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Mark My Words: Analyzing and Evaluating Language Model Watermarks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T22:15:04.532162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df7dcc56-e712-4715-b398-5ca369364c99 · inbound

Mitigating Watermark Forgery in Generative Models via Randomized Key Selection cites this paper.

Mitigating Watermark Forgery in Generative Models via Randomized Key Selection Mark My Words: Analyzing and Evaluating Language Model Watermarks

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-19T05:27:05.458303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cd42bd27-3196-4578-8c11-8d217dc06411 · inbound

Antidistillation Fingerprinting cites this paper.

Antidistillation Fingerprinting Mark My Words: Analyzing and Evaluating Language Model Watermarks

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:50:12.689464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bfd96d6d-c531-4ed9-b174-7ade4cd82329 · inbound

Chainwash: Multi-Step Rewriting Attacks on Diffusion Language Model Watermarks cites this paper.

Chainwash: Multi-Step Rewriting Attacks on Diffusion Language Model Watermarks Mark My Words: Analyzing and Evaluating Language Model Watermarks

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:26:07.815055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8c6b0d3d-da83-4fb6-b002-eb587f48bb82 · inbound

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

Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents Mark My Words: Analyzing and Evaluating Language Model Watermarks

Reference 126

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:21:16.165563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a96c7635-c54a-47d7-aaf8-2291487440a1 · inbound

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

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection Mark My Words: Analyzing and Evaluating Language Model Watermarks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-13T03:47:11.923514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 52bdcb63-5470-40f8-b805-f1663cd064d7 · inbound

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

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection Mark My Words: Analyzing and Evaluating Language Model Watermarks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:01:23.642338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 97bec6e3-a56f-4c0f-90a0-ddf18867aa10 · inbound

Watermarking Should Be Treated as a Monitoring Primitive cites this paper.

Watermarking Should Be Treated as a Monitoring Primitive Mark My Words: Analyzing and Evaluating Language Model Watermarks

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:12:50.985831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 08d5a73c-50e3-4ff2-a1c5-2b10c8f925ad · inbound

Watermarking Should Be Treated as a Monitoring Primitive cites this paper.

Watermarking Should Be Treated as a Monitoring Primitive Mark My Words: Analyzing and Evaluating Language Model Watermarks

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:59:48.862554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e82fbaf-123b-47d6-a1cf-2db1bb398edb · inbound

Watermarking for Proprietary Dataset Protection cites this paper.

Watermarking for Proprietary Dataset Protection Mark My Words: Analyzing and Evaluating Language Model Watermarks

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:17:08.423758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.