Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.16288.
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 2026-08-06T21:44:56.135994Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T10:53:19.747690Z
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 2929eddc-d0ae-4cbe-a175-befee053244a · inbound
On Recipe Memorization and Creativity in Large Language Models: Is Your Model a Creative Cook, a Bad Cook, or Merely a Plagiator? cites this paper.
On Recipe Memorization and Creativity in Large Language Models: Is Your Model a Creative Cook, a Bad Cook, or Merely a Plagiator? PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:44:56.135994Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c13a10c-25eb-4414-8294-08981b636e39 · inbound
Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets cites this paper.
Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T10:53:19.749050Z
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.