Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Model as Universal Retriever in Industrial-Scale Recommender System
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.03041.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-25T03:54:11.392343Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T03:55:20.373659Z
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 379cfb40-49c0-4623-bfca-22cca722fecd · inbound
A Survey on Generative Recommendation: Data, Model, and Tasks cites this paper.
A Survey on Generative Recommendation: Data, Model, and Tasks Large Language Model as Universal Retriever in Industrial-Scale Recommender System
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:50:52.167477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c12cdf90-566e-4258-9a6d-641470ea5769 · inbound
SIGMA: A Semantic-Grounded Instruction-Driven Generative Multi-Task Recommender at AliExpress cites this paper.
SIGMA: A Semantic-Grounded Instruction-Driven Generative Multi-Task Recommender at AliExpress Large Language Model as Universal Retriever in Industrial-Scale Recommender System
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:20:16.195109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5adefc08-4a42-4e78-a976-b2448c2aac0a · inbound
From Head to Tail: Asymmetric Knowledge Transfer in Long-tail Recommendation with Generative Semantic IDs cites this paper.
From Head to Tail: Asymmetric Knowledge Transfer in Long-tail Recommendation with Generative Semantic IDs Large Language Model as Universal Retriever in Industrial-Scale Recommender System
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T03:55:20.379076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.