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Paper Citation Record · LEDGER

WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.07138.

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

pith.paper-citation-record.v1
2311.07138 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:57:30.316110Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T22:46:52.923026Z

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 1bbdbfe2-19be-4580-9751-6098a69142f1 · inbound

Debiasing Watermarks for Large Language Models via Maximal Coupling cites this paper.

Debiasing Watermarks for Large Language Models via Maximal Coupling WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models

Reference 2011

Resolution
unresolved
no resolver link, observed 2026-08-12T18:57:30.316110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:57:30.316110Z digest=sha256:f4e8ff11de6bc851a384a26e10a0841182ec1fe45bc9d7b9bd75efd519ab20de

Observation 7e42d69d-d9fe-406e-88b9-d80ef08986da · inbound

BiMarker: Enhancing Text Watermark Detection for Large Language Models with Bipolar Watermarks cites this paper.

BiMarker: Enhancing Text Watermark Detection for Large Language Models with Bipolar Watermarks WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T17:36:52.891073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:36:52.891073Z digest=sha256:807825912a10567ffda51714acd2d48871b3a67551ac655a4027b35384695e00

Observation 2632baba-ae54-4bc6-9170-d6883cacd414 · 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 WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models

Reference 143

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:46:52.925904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T22:45:31.935618Z digest=sha256:345c09471f2961a691b5e7b6988a059d1d3a493d2861f18cfc075e5c89f9df5c

Observation 1afff57a-7fd4-4b18-8655-f359e050c1df · inbound

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

Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models

Reference 153

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:21:16.322529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T02:21:12.882825Z digest=sha256:985a43fa23373ef25aa11fe4be7455c781d78af2213616c6e2f6ec61138e0157

Observation c72aaaa8-8edf-4441-a93d-e82ef16e8263 · 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 WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T04:31:47.506334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:31:47.506334Z digest=sha256:4b8a5419e52e7dd0722bcc4be74238117d2aa43b16175c130e32df3fe28fc471