Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.04960.
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 2026-08-06T21:20:04.763816Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T12:06:04.778635Z
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 b9fc9dcf-38a2-4315-bd15-a527398b4725 · inbound
On Mitigating Data Sparsity in Conversational Recommender Systems cites this paper.
On Mitigating Data Sparsity in Conversational Recommender Systems MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:20:04.763816Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b05ff25-586b-4e75-a44c-df6157be5095 · inbound
Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations cites this paper.
Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:06:04.781885Z
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.