Paper Citation Record · LEDGER

Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.05864.

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

pith.paper-citation-record.v1
2402.05864 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:53:00.772465Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T10:01:23.662724Z

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 0ca18bd4-3f1a-4fa8-a56a-40d3337cef4d · inbound

Watermarking Generative Categorical Data cites this paper.

Watermarking Generative Categorical Data Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T19:17:05.430828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55747a14-ce9e-4b25-8058-ac4fc2677f7b · inbound

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

Debiasing Watermarks for Large Language Models via Maximal Coupling Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T18:57:30.341608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ad8d7cf-6bc5-4013-ab83-8dccf69afa8a · 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 Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-12T15:55:32.094602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf279f8e-8e05-4a98-ac97-d87b93992cb5 · inbound

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

SoK: Watermarking for AI-Generated Content Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

Reference 117

Resolution: unresolved; no resolver link, observed 2026-08-12T11:13:54.938340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c264c024-2643-4cfc-8d80-a48f84fd2e13 · inbound

Optimized Couplings for Watermarking Large Language Models cites this paper.

Optimized Couplings for Watermarking Large Language Models Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:00.772465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fa045db-d1a3-4e5b-a9e9-052fc681dd49 · inbound

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems cites this paper.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

Reference 224

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:15.758245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78a2bc26-d657-4e79-8723-34d83bc39bfb · inbound

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts cites this paper.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T22:15:05.948706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35866be4-0d59-44d7-9eed-238879fed9be · inbound

RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks cites this paper.

RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:26:28.054048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d9266c5a-331c-4fc5-b33d-c691af62864f · inbound

RLSpoofer: A Lightweight Evaluator for LLM Watermark Spoofing Resilience cites this paper.

RLSpoofer: A Lightweight Evaluator for LLM Watermark Spoofing Resilience Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:05.991276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 654e2803-5071-4e63-b250-b5df1aea9f98 · inbound

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection cites this paper.

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-13T03:47:11.930206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9e2da173-10d8-45fc-9afb-ad5a3cb6ef84 · inbound

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection cites this paper.

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:01:23.666661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.