Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models Enhanced Collaborative Filtering
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.17688.
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 2026-08-05T20:37:17.408436Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T15:16:07.018346Z
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 62a53c3d-e170-4243-96cf-e249a232195c · inbound
Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation cites this paper.
Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation Large Language Models Enhanced Collaborative Filtering
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:37:17.408436Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63993958-75ad-47d7-9f32-22aa5e22e11c · inbound
Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation cites this paper.
Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation Large Language Models Enhanced Collaborative Filtering
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:16:07.031355Z
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.
Observation 30db2872-0c6c-4a4f-ac4d-d32aa106fa11 · inbound
LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation cites this paper.
LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation Large Language Models Enhanced Collaborative Filtering
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T20:29:43.700229Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.