Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.05991.
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 2026-08-12T05:02:13.121790Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T22:39:55.199863Z
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 95142488-9977-437f-8b3c-69afdae300e3 · inbound
What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation cites this paper.
What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:02:13.121790Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fd61eff-ba24-4951-9fc5-ff38a12b8acf · inbound
Enhancing User Intent for Recommendation Systems via Large Language Models cites this paper.
Enhancing User Intent for Recommendation Systems via Large Language Models Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:57:54.510774Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e011ab1-a0d5-449b-a86d-bb40c16619ad · inbound
A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit cites this paper.
A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T22:39:55.206658Z
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.