Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Debiasing Watermarks for Large Language Models via Maximal Coupling
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.11203.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:15:05.624482Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T02:21:16.212486Z
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 6c7be41c-6573-49ce-911c-14aee71ce202 · inbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts cites this paper.
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Debiasing Watermarks for Large Language Models via Maximal Coupling
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:15:05.624482Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f706fc1-762e-413e-9c1e-e0f83b443b6f · inbound
Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection cites this paper.
Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Debiasing Watermarks for Large Language Models via Maximal Coupling
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:08:35.369382Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 134039d9-72d8-436c-b922-48fd30f581c6 · inbound
Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents cites this paper.
Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents Debiasing Watermarks for Large Language Models via Maximal Coupling
Reference 163
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:21:16.214728Z
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.