Paper Citation Record · LEDGER

Improved Unbiased Watermark for Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.11268.

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

pith.paper-citation-record.v1
2502.11268 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 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:40:48.558254Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T05:25:54.408176Z

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 3e635afa-5817-41da-bc77-9c8b07c4f9b7 · inbound

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding cites this paper.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Improved Unbiased Watermark for Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.558254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9edb740-53cb-4938-89b4-133d0427f57a · inbound

Can You Detect the Difference? cites this paper.

Can You Detect the Difference? Improved Unbiased Watermark for Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:34:54.329141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8436fbea-cf29-4f9b-9f5d-1cf094b2c3c1 · inbound

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

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption Improved Unbiased Watermark for Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:25:54.410486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2afdb724-6f57-4894-b3f5-7bb4446d72bc · inbound

AgentMark: Utility-Preserving Behavioral Watermarking for Agents cites this paper.

AgentMark: Utility-Preserving Behavioral Watermarking for Agents Improved Unbiased Watermark for Large Language Models

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T17:53:11.536122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fdaf314b-17a6-4a8c-b3ef-0531498e7f99 · inbound

Beyond A Fixed Seal: Adaptive Stealing Watermark in Large Language Models cites this paper.

Beyond A Fixed Seal: Adaptive Stealing Watermark in Large Language Models Improved Unbiased Watermark for Large Language Models

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:25:59.471113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.