Paper Citation Record · LEDGER

Towards Optimal Statistical Watermarking

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2312.07930.

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

pith.paper-citation-record.v1
2312.07930 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:57:30.285188Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T23:45:08.373496Z

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 a5b8ac51-c535-4216-85e3-93f0f0bec07a · inbound

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

Debiasing Watermarks for Large Language Models via Maximal Coupling Towards Optimal Statistical Watermarking

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T18:57:30.285188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8c8db07-220b-493e-8b5c-32accc6254df · inbound

Robust Detection of Watermarks for Large Language Models Under Human Edits cites this paper.

Robust Detection of Watermarks for Large Language Models Under Human Edits Towards Optimal Statistical Watermarking

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T15:55:31.834983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9c334ba-2bb8-4f7f-bb96-61cb7a95674e · inbound

SoK: Watermarking for AI-Generated Content cites this paper.

SoK: Watermarking for AI-Generated Content Towards Optimal Statistical Watermarking

Reference 143

Resolution: unresolved; no resolver link, observed 2026-08-12T11:13:55.046570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b07b08b8-adf7-487c-87cd-f3cbc98d0662 · inbound

GaussMark: A Practical Approach for Structural Watermarking of Language Models cites this paper.

GaussMark: A Practical Approach for Structural Watermarking of Language Models Towards Optimal Statistical Watermarking

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T19:12:45.710529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6a53cda-7725-4763-b8e5-8d460587c62e · inbound

Fundamental Trade-Offs in Multi-Bit Watermarking of Stochastic Processes cites this paper.

Fundamental Trade-Offs in Multi-Bit Watermarking of Stochastic Processes Towards Optimal Statistical Watermarking

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:51:48.800549Z

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.

Observation 765b5a4a-166e-4106-9818-ea6f4e7d0dc9 · inbound

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

Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents Towards Optimal Statistical Watermarking

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:21:16.333752Z

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.

Observation e678d40e-f994-4b93-a95b-bcdf73499e40 · inbound

PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks cites this paper.

PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks Towards Optimal Statistical Watermarking

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:17:02.320761Z

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.

Observation 5a40e2d4-6ad6-42b6-ac66-a6201f7f2bf7 · inbound

PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks cites this paper.

PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks Towards Optimal Statistical Watermarking

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:08.374874Z

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.