Paper Citation Record · LEDGER

Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.18059.

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

pith.paper-citation-record.v1
2402.18059 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:40:42.243055Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T11:54:38.815524Z

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 deff62b1-b651-4793-973f-7276d14c2dcf · inbound

MorphMark: Flexible Adaptive Watermarking for Large Language Models cites this paper.

MorphMark: Flexible Adaptive Watermarking for Large Language Models Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T21:40:42.243055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d494d424-0736-4374-b201-d5b870481482 · inbound

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

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:25:54.498257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 63b0fb00-5015-43dd-b0d6-a4935d0fced6 · inbound

READER: Reasoning-Enhanced AI-Generated Text Detection cites this paper.

READER: Reasoning-Enhanced AI-Generated Text Detection Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T11:54:38.816895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4163b71c-e3e2-49b2-91be-2d6a7f7b5760 · inbound

Toward Stronger Code Watermarking: A Grammar-Driven Approach to Optimizing the Trade-off Between Quality and Detectability cites this paper.

Toward Stronger Code Watermarking: A Grammar-Driven Approach to Optimizing the Trade-off Between Quality and Detectability Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-14T13:29:55.682502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.