Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.10744.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:11.195812Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:59:58.865813Z
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 910a2c54-9baf-42ed-a3a4-6659082816f7 · inbound
MPL: Multiple Programming Languages with Large Language Models for Information Extraction cites this paper.
MPL: Multiple Programming Languages with Large Language Models for Information Extraction GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:10:11.195812Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f42ada7-0333-4b65-8875-68a2aa69620a · inbound
Evaluation of LLM-Based Software Engineering Tools: Practices, Challenges, and Future Directions cites this paper.
Evaluation of LLM-Based Software Engineering Tools: Practices, Challenges, and Future Directions GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:21:52.974163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dd93d04f-26ef-4f43-8f76-d83ef1cffb51 · inbound
Task Decomposition for Efficient Annotation cites this paper.
Task Decomposition for Efficient Annotation GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models
Reference 168
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T16:59:58.867819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.