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Paper Citation Record · LEDGER

Watermarking Text Generated by Black-Box Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2305.08883.

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

pith.paper-citation-record.v1
2305.08883 v1

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 2026-08-08T21:12:22.869692Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T15:43:53.673308Z

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 ea7e1343-1767-4c13-adae-226675e3e10a · inbound

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM cites this paper.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Watermarking Text Generated by Black-Box Language Models

Reference 106

Resolution
unresolved
no resolver link, observed 2026-08-08T21:12:22.869692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:12:22.869692Z digest=sha256:89b54999a564bf8d3a02f142b9220cf8406c45793457f9b7e9539a0db8737683

Observation b7431f3e-ff32-4930-ab5f-47e5cfa8e8ad · inbound

Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking cites this paper.

Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking Watermarking Text Generated by Black-Box Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:40.374499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:43:40.374499Z digest=sha256:203787431366dae78d05e86671c425e1eb9a72d2b2bd21b8c7acabffd9c0e4b1

Observation 7d0ac7d6-9adc-44a9-ae04-4e0c142dde84 · inbound

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

FPEdit: Robust LLM Fingerprinting through Localized Parameter Editing Watermarking Text Generated by Black-Box Language Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T05:19:13.473989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:19:13.473989Z digest=sha256:f73a34a0eef3a320f05f451f905dcc4290dd3b740098f5f1665a681c99eb7b50

Observation 5c363b4c-1741-4415-8b39-c6f8298232f1 · 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 Watermarking Text Generated by Black-Box Language Models

Reference 169

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:46:52.893831Z

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.

source=pdf_text observed=2026-05-18T22:45:31.935618Z digest=sha256:0aec1a03f26b323aec06b58193eeabdd30a54d01c04fe51b70b2f0422b7dc0b7

Observation d6de624d-2f2f-4e33-ad7c-d5d0ce3556fb · inbound

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

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption Watermarking Text Generated by Black-Box Language Models

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:25:54.336367Z

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.

source=pdf_text observed=2026-05-18T05:24:25.622071Z digest=sha256:8f837d96059de1528f4d1c2c9bccca4b4fdb7ddbbe3659d2d181a5a4ab8e0fb9

Observation 58e1a40d-2ac7-4978-b788-85e71dc3ac66 · inbound

R-CoT: A Reasoning-Layer Watermark via Redundant Chain-of-Thought in Large Language Models cites this paper.

R-CoT: A Reasoning-Layer Watermark via Redundant Chain-of-Thought in Large Language Models Watermarking Text Generated by Black-Box Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:01:16.613994Z

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.

source=pdf_text observed=2026-05-07T15:54:22.189376Z digest=sha256:87c931de2ccbcbebc73fcabe51c15c9b2d176ae7ebeb1a134fb0138652175a50

Observation b46048d5-dc9b-4808-8b85-7d3b7f3138ab · inbound

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

Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents Watermarking Text Generated by Black-Box Language Models

Reference 164

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:21:16.182717Z

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.

source=pdf_text observed=2026-05-12T02:21:12.882825Z digest=sha256:ab7978f300cbf8313bec81b48938ea753930b9377e511bdd5d411f9e7eae0eb2

Observation 8d166c37-01a1-4dbd-929d-240f21b3c6ac · inbound

Linguistics-Aware Non-Distortionary LLM Watermarking cites this paper.

Linguistics-Aware Non-Distortionary LLM Watermarking Watermarking Text Generated by Black-Box Language Models

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:22:34.631423Z

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.

source=arxiv_source observed=2026-06-28T19:17:26.192208Z digest=sha256:adbc33e295e26ae088fae4efef8139be50f560cf672662e08c7f1a1d91569039

Observation 3964b7ed-23c9-40f9-87ef-1b70f105ea61 · inbound

Selective Disclosure Watermarking for Large Language Models cites this paper.

Selective Disclosure Watermarking for Large Language Models Watermarking Text Generated by Black-Box Language Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-07T15:43:53.674691Z

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.

source=arxiv_source observed=2026-07-07T15:41:30.476685Z digest=sha256:872da77f4e76dd6fc6a3cf40f4d8b51f7091340233cee4ac8ceeee7e9b045117

Observation 4b875afe-3632-4858-bed0-e5218c13c336 · inbound

Observation-Level Watermarking and Detection for Tabular Data cites this paper.

Observation-Level Watermarking and Detection for Tabular Data Watermarking Text Generated by Black-Box Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:52:33.767274Z digest=sha256:84c86aa74190d5aa01b049d68595753fb8a96fe6b8a01d6249c9fb1045b201d2

Observation 30c78ea2-b86b-4ec0-b3e9-f944691ba67f · inbound

Can Watermarking Techniques Help Prevent LLM Model Stealing? cites this paper.

Can Watermarking Techniques Help Prevent LLM Model Stealing? Watermarking Text Generated by Black-Box Language Models

Reference 88

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:20.561611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T09:13:20.561611Z digest=sha256:beb277d2e97460a412ff0b5beb3de7b3db25c7a5ebb2001c2a2859fbc1dbad72

Observation 03cf1cd3-901c-44c4-8e5b-c510b6660556 · inbound

SSTMark: Robust Training-Free Semantic-Level Speech Watermarking cites this paper.

SSTMark: Robust Training-Free Semantic-Level Speech Watermarking Watermarking Text Generated by Black-Box Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-01T17:37:43.441728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:37:43.441728Z digest=sha256:4bf57d298a9cbfba337890e20fa01061cc77b10fa93213daab5f5ca63401476b