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Paper Citation Record · LEDGER

WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.19548.

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

pith.paper-citation-record.v1
2403.19548 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:46:38.200532Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:38:55.180560Z

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 d205be7e-2e90-4aea-a555-26f777e63e23 · inbound

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey cites this paper.

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models

Reference 126

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:25.444775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:25.444775Z digest=sha256:28b2583370d862190729b3876449dded2619056b3f90bb672b265c2ca4561685

Observation cdd7e3f2-0d0d-479e-abfa-a5712da241a6 · inbound

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality cites this paper.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.200532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.200532Z digest=sha256:70bf0e7c5fdbcb109b42917efc7f8f0460485326a34aab12b124020a6c6883f0

Observation 0391eb40-ea2a-431c-b428-d02cf8d98487 · inbound

Towards Structurally Explainable Machine-Generated Text Detection: A Graph-Perspective Framework cites this paper.

Towards Structurally Explainable Machine-Generated Text Detection: A Graph-Perspective Framework WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:38:55.264842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:38:54.139690Z digest=sha256:4ebebc9259967c64d0d4f4a6ee8a842433eaf73a1bf9df0433a7c89283fc1d16