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Paper Citation Record · LEDGER

Undetectable Watermarks for Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2306.09194.

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

pith.paper-citation-record.v1
2306.09194 v1

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 2026-08-08T06:32:00.761636+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:19:00.943875Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

12
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 66d932df-df92-4294-b51a-338745514f35 · inbound

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions cites this paper.

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions Undetectable Watermarks for Language Models

Reference 140

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:55:50.745705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T21:54:26.670284Z digest=sha256:69e8999f5783b4f905b3df4bc9e29a6fd8c1d8e1ba519dc57e518533874933f7

Observation 841a0dc8-0bf3-457c-95ff-fc8eca96c136 · inbound

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

A Watermark for Auto-Regressive Image Generation Models Undetectable Watermarks for Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T04:19:00.943875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:19:00.943875Z digest=sha256:5a1fd1d507c9afc41f90a710e375409681e6d318a81b0ccafdaeb64108cc8c3c

Observation c36e64a2-781e-4429-a91f-753c9f753d0b · inbound

FPEdit: Robust LLM Fingerprinting through Localized Parameter Editing cites this paper.

FPEdit: Robust LLM Fingerprinting through Localized Parameter Editing Undetectable Watermarks for Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T05:19:08.348180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:19:08.348180Z digest=sha256:9deaf67f29391f18fdb583e10bbd63d5d35293591376732f266ffc2cf64522c5

Observation 380f483a-bd46-48f1-b725-1a395d635acd · inbound

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

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption Undetectable Watermarks for Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:25:54.506493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T05:24:25.622071Z digest=sha256:34694d9d56d4298e85da5a2ca30f328adc693a0b7fa055a7637ebdc115811a32

Observation 8f70689e-c54b-46f7-85c5-8165c905011d · 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 Undetectable Watermarks for Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:00:48.491072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T19:25:44.174816Z digest=sha256:f253824297a30045c0774f68bd89e15b86a6ce5347a230527509b864adf9ced9

Observation 45e2052a-83b3-4499-b379-86f156bb78df · inbound

Response Time Enhances Alignment with Heterogeneous Preferences cites this paper.

Response Time Enhances Alignment with Heterogeneous Preferences Undetectable Watermarks for Language Models

Reference 179

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:45:59.737542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T01:04:26.288913Z digest=sha256:d48dc9c80f639ff1e2bd56f04bf3a1df11d69893491c23ceba9bcf6a5415e0ac

Observation d9199a77-2082-43a9-ab36-db72a1607896 · inbound

The Generalized Turing Test: A Foundation for Comparing Intelligence cites this paper.

The Generalized Turing Test: A Foundation for Comparing Intelligence Undetectable Watermarks for Language Models

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T03:26:18.918592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T03:25:48.145137Z digest=sha256:b9d0110557e0d1d8c518965afe007024b9b72c87308aaf3662ea09b98e6938a6

Observation c90994fe-9285-4150-b3a6-b566b105c2fe · 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 Undetectable Watermarks for Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-27T01:10:19.925631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T01:06:00.529521Z digest=sha256:3ece1f2f133271d4cde7a030b7aec95c18e8c8d3e029907c3bf54dd3a7c7e3dc

Observation c72eddef-cfeb-49d4-953f-47c728d078ce · inbound

Tool Use Enables Undetectable Steganography in Multi-Agent LLM Systems cites this paper.

Tool Use Enables Undetectable Steganography in Multi-Agent LLM Systems Undetectable Watermarks for Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:25:49.956495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T00:42:20.220668Z digest=sha256:510dbb83f5bdc7064620739c48e729e6c6ed01724acc569ff69ccf440b8804f5

Observation 431cdbf2-2f51-4f15-b91a-f07601e5b818 · inbound

Watermarking for Proprietary Dataset Protection cites this paper.

Watermarking for Proprietary Dataset Protection Undetectable Watermarks for Language Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:17:08.411959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T16:09:50.072430Z digest=sha256:8f1d1aa65c550be1e7ba9c159187260f343fc1a351c64e7b35346026680b69b2