Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.11343.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:37:34.466616Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T14:42:12.614392Z
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 54eab397-3d1b-457f-94c8-2b51e3d3e358 · inbound
OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation cites this paper.
OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:20:46.705972Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7bbc46e-0898-47e7-9289-3ebc55f2f813 · inbound
Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs cites this paper.
Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
Reference 2021
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T14:42:12.619917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2f4b7ca2-fc4f-44ba-a9bf-0c4689fd6964 · inbound
Knowledge Integration for Physics-informed Symbolic Regression Using Pre-trained Large Language Models cites this paper.
Knowledge Integration for Physics-informed Symbolic Regression Using Pre-trained Large Language Models Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
Reference 101
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:37:34.466616Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f1f4205-258c-464e-af03-489339f02c03 · inbound
Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization cites this paper.
Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:11:00.557539Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.