Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.05562.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:57:03.844502Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T18:16:11.560912Z
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 83b3fd8b-a49e-4aa1-8218-9c50739b166a · inbound
RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems cites this paper.
RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:57:03.844502Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 880d358f-7aa1-4622-a664-9a86f4615394 · inbound
Learning to Shop Like Humans: A Review-driven Retrieval-Augmented Recommendation Framework with LLMs cites this paper.
Learning to Shop Like Humans: A Review-driven Retrieval-Augmented Recommendation Framework with LLMs Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:27:24.714423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.