Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.12362.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:58:01.039218Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T22:46:52.960462Z
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 fcdf0732-11c3-40d4-98ca-c8b48ad23a4a · inbound
SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text cites this paper.
SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:58:01.039218Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00706fc2-63b6-4d07-a545-0c75da7dc40e · inbound
Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends cites this paper.
Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models
Reference 182
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T22:46:52.963377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.