Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PersonaMark: Personalized LLM watermarking for model protection and user attribution
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.09739.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T21:12:22.701113Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T21:53:59.612680Z
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 4fd8acf1-52b3-4a50-8063-13edfbb16be1 · inbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM cites this paper.
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM PersonaMark: Personalized LLM watermarking for model protection and user attribution
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T21:12:22.701113Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5a768ec-1d06-4edb-92ef-b95b61d051ac · inbound
A Survey on Model Extraction Attacks and Defenses for Large Language Models cites this paper.
A Survey on Model Extraction Attacks and Defenses for Large Language Models PersonaMark: Personalized LLM watermarking for model protection and user attribution
Reference 98
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:23:15.269056Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c054a9a-0633-4102-ad9c-940b89322868 · inbound
SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness cites this paper.
SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness PersonaMark: Personalized LLM watermarking for model protection and user attribution
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T21:53:59.614068Z
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 2ead7ae9-2f56-4ca4-8bdb-76c234d6e6d5 · inbound
SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness cites this paper.
SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness PersonaMark: Personalized LLM watermarking for model protection and user attribution
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:13:38.338643Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69db7c29-f8f6-4e98-8d65-78673fdbc1ba · inbound
Observation-Level Watermarking and Detection for Tabular Data cites this paper.
Observation-Level Watermarking and Detection for Tabular Data PersonaMark: Personalized LLM watermarking for model protection and user attribution
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T10:52:33.767274Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.