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Paper Citation Record · LEDGER

Undetectable Watermarks for Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:31:47.501966Z

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T21:54:26.670284Z digest=sha256:5758a1b6cb068a731f441abe05a516bafcf1c2cd5d034edcad13ebbc2f97bd3a

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:ef2d6b2bf19a46352a505f537d8189c1335a9e25899fe65ea300a2f80f1f8059

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T05:24:25.622071Z digest=sha256:a483f1ad37a23a84516bf01a89de810668491c831239e0faf80cce3d90d54912

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:25:44.174816Z digest=sha256:bf859d119214b4521520cb8174f3858db11a760ecf26b3097738aea0446d8610

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-11T01:04:26.288913Z digest=sha256:d28577bc7b33b958dcecbf58ab53f64efbf250a2ba4171accdcc42aedc4e4000

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T03:25:48.145137Z digest=sha256:c2c7262a137b624ec033c23006244ce82fe680f56329af067a391b37df715552

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T01:06:00.529521Z digest=sha256:0143351d8590aa920be60b986c9aff6d01df1a633c79ea66616dfa7a49e32dba

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-30T00:42:20.220668Z digest=sha256:7d352172d24df81e7c2ec30e5ad619934967f51bfe29c52c840b7b436ac65f49

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T16:09:50.072430Z digest=sha256:fd40c6ec42003510be45b8ba19482c411824375c279ee3b5dd12cd17dbaf5663

Observation c6cf87a7-3819-4ec4-ae33-3068ebdd1f44 · 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 Undetectable Watermarks for Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T04:31:47.501966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:31:47.501966Z digest=sha256:f39cc1cf0b6483f0c4486f3f5093c857e2aa419dff09526e5339c8cd0ea15d31