Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1908.04942.
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 2026-08-01T17:56:14.031838Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 77ee2d6e-f77a-487a-9908-351658bc9446 · inbound
HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation cites this paper.
HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T17:56:14.031838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9b6dd96-78d7-4140-9725-e3353d2463c6 · inbound
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation cites this paper.
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:56:36.796643Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.