Paper Citation Record · LEDGER

Multi-Bit Distortion-Free Watermarking for Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.16578.

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

pith.paper-citation-record.v1
2402.16578 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:32:26.274734Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T15:43:53.671654Z

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 d6ebf64d-1bfe-4a86-bc3d-1413b9b47ffd · inbound

StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models cites this paper.

StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models Multi-Bit Distortion-Free Watermarking for Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:32:26.274734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7f7b3af-96eb-4a3a-9bef-821c66609dac · inbound

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

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption Multi-Bit Distortion-Free Watermarking for Large Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:25:54.466668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9334985d-0152-44a5-af20-bba260187dc5 · inbound

Optimal Multi-bit Generative Watermarking Schemes Under Worst-Case False-Alarm Constraints cites this paper.

Optimal Multi-bit Generative Watermarking Schemes Under Worst-Case False-Alarm Constraints Multi-Bit Distortion-Free Watermarking for Large Language Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:10:58.103348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9619e60b-6d2e-4b85-802a-0e23ca19a484 · inbound

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

Fundamental Trade-Offs in Multi-Bit Watermarking of Stochastic Processes Multi-Bit Distortion-Free Watermarking for Large Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:56:25.828450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f61cdcf5-2c7c-40f7-a02c-719296af72e0 · inbound

Tool Use Enables Undetectable Steganography in Multi-Agent LLM Systems cites this paper.

Tool Use Enables Undetectable Steganography in Multi-Agent LLM Systems Multi-Bit Distortion-Free Watermarking for Large Language Models

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-07-01T16:25:49.966702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cc09478b-3baa-4d00-b0f7-30831d587f96 · inbound

Selective Disclosure Watermarking for Large Language Models cites this paper.

Selective Disclosure Watermarking for Large Language Models Multi-Bit Distortion-Free Watermarking for Large Language Models

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-07T15:43:53.673191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.