Paper Citation Record · LEDGER

An Unforgeable Publicly Verifiable Watermark for Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2307.16230.

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

pith.paper-citation-record.v1
2307.16230 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:51:53.677994Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:49:35.420144Z

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 aceb156f-6b9b-4645-be26-f672cdea3623 · 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 An Unforgeable Publicly Verifiable Watermark for Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:26:28.012253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1ae741b4-aafb-422b-8d3f-14e891f20305 · inbound

LLM Watermark Evasion via Bias Inversion cites this paper.

LLM Watermark Evasion via Bias Inversion An Unforgeable Publicly Verifiable Watermark for Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T14:51:53.677994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1d1e16e-9466-40f7-9012-b31063cd05ee · inbound

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

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption An Unforgeable Publicly Verifiable Watermark for Large Language Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:25:54.297874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5187d0d3-df01-4f38-898f-187e1a8cd933 · 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 An Unforgeable Publicly Verifiable Watermark for Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:10:58.286032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 00fc987e-6d46-453b-9cad-a0a9ecb4a7a7 · inbound

TimeMark: A Trustworthy Time Watermarking Framework for Exact Generation-Time Recovery from AIGC cites this paper.

TimeMark: A Trustworthy Time Watermarking Framework for Exact Generation-Time Recovery from AIGC An Unforgeable Publicly Verifiable Watermark for Large Language Models

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:10:59.129313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation daa2bace-b7ed-413b-9b0c-ba4105284f44 · 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 An Unforgeable Publicly Verifiable Watermark for Large Language Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:53:59.602146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 40e29054-2e2b-4bc2-ade4-dc2bc18e7783 · 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 An Unforgeable Publicly Verifiable Watermark for Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T13:13:38.713660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfc19456-f7bf-40f8-b2f3-5100902d7911 · inbound

Hidden in Plain Tokens: Simply Robust, Gradient-Free Watermark for Synthetic Audio cites this paper.

Hidden in Plain Tokens: Simply Robust, Gradient-Free Watermark for Synthetic Audio An Unforgeable Publicly Verifiable Watermark for Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:14:01.863607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3cf2a3fb-3cfd-485d-ace6-51bbf4e2d7b9 · inbound

PromptMark: A Prompt-Guided Iterative-Feedback Framework for Source Code Watermarking cites this paper.

PromptMark: A Prompt-Guided Iterative-Feedback Framework for Source Code Watermarking An Unforgeable Publicly Verifiable Watermark for Large Language Models

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T04:49:35.422246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a08a0cd3-8688-43a4-bdde-a69548f56282 · inbound

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

WaterMoE: Expert-Routing-based Watermarking for High Fidelity and Efficiency An Unforgeable Publicly Verifiable Watermark for Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T06:36:32.128014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.