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Paper Citation Record · LEDGER

Towards Optimal Statistical Watermarking

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:12:45.710529Z

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 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.

source=arxiv_source observed=2026-08-10T19:12:45.710529Z digest=sha256:ef4fb1f0e76fe91f1a5083e4e74764b5f0c0bd0ffbe8b304b82ef17d524e8f2a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T01:32:57.175350Z digest=sha256:4a30cb68d50b80d3ebba2d60afa99c6c0b9c851eb01667eac908018473c14a2c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T02:21:12.882825Z digest=sha256:097bfaee958464daeab685499aa707db17b809a35965dfa7c76b274b02d505a7

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-13T01:13:55.067785Z digest=sha256:84afaea43063fb529e094a534ec29a5fa8b1e3f9e35ae6c7d899d632015c5fe5

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-30T23:37:21.982973Z digest=sha256:36ab842ad8cc8b865bcd3c765b5731882fd30b3018397a3e108fa7739ba81738