Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing User Intent for Recommendation Systems via Large Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.10871.
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 2026-08-10T00:33:43.915893Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T16:07:41.006459Z
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 162d5300-fa8d-408b-b3e4-5679d4663e45 · inbound
Mixed-Precision Graph Neural Quantization for Low Bit Large Language Models cites this paper.
Mixed-Precision Graph Neural Quantization for Low Bit Large Language Models Enhancing User Intent for Recommendation Systems via Large Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T00:33:43.915893Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdfa4d69-1afd-4e23-8f84-c8d1a384441e · inbound
Radial Neighborhood Smoothing Recommender System cites this paper.
Radial Neighborhood Smoothing Recommender System Enhancing User Intent for Recommendation Systems via Large Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:49:10.949276Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d4031ce-0470-4552-8019-63019231418d · inbound
Fortress: A Case Study in Stabilizing Search Recommendations via Temporal Data Augmentation and Feature Pruning cites this paper.
Fortress: A Case Study in Stabilizing Search Recommendations via Temporal Data Augmentation and Feature Pruning Enhancing User Intent for Recommendation Systems via Large Language Models
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:07:41.009260Z
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.