Paper Citation Record · LEDGER

A Survey of Text Watermarking in the Era of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.07913.

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

pith.paper-citation-record.v1
2312.07913 v6

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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:46:12.302815Z

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

4
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 b778444c-9c88-4a72-b2b9-a6148f60cea5 · inbound

Optimizing Token Choice for Code Watermarking: An RL Approach cites this paper.

Optimizing Token Choice for Code Watermarking: An RL Approach A Survey of Text Watermarking in the Era of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T19:46:12.302815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5de2bf03-5e45-4a1f-8431-c3dbde55f83b · inbound

Private, Verifiable, and Auditable AI Systems cites this paper.

Private, Verifiable, and Auditable AI Systems A Survey of Text Watermarking in the Era of Large Language Models

Reference 177

Resolution: unresolved; no resolver link, observed 2026-08-05T15:43:59.252820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0e337cf-1a18-4351-accc-d94f5d3211bb · inbound

Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings cites this paper.

Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings A Survey of Text Watermarking in the Era of Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-01T05:45:25.689922Z

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.

Observation 505387c4-55af-4d21-83b7-b9e58a205473 · inbound

Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings cites this paper.

Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings A Survey of Text Watermarking in the Era of Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:57:18.933367Z

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.

Observation e55e239a-fee2-48c7-be3c-8414812a22b3 · inbound

Marking the Wrong Symptoms: Evaluating LLM Watermarks in Medical Texts cites this paper.

Marking the Wrong Symptoms: Evaluating LLM Watermarks in Medical Texts A Survey of Text Watermarking in the Era of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T13:52:08.235584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.