Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.19925.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:16:55.218488Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T10:33:18.845129Z
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 4780e8f1-7792-4ec6-a4a1-b8a46fbc5b5d · inbound
A Survey on Sequential Recommendation cites this paper.
A Survey on Sequential Recommendation LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
Reference 162
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:47:37.864747Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1423bcaf-04e5-4749-a9fe-dccc5873e3f6 · inbound
Large Language Model Enhanced Recommender Systems: A Survey cites this paper.
Large Language Model Enhanced Recommender Systems: A Survey LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:11:48.651946Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5a4bf18-e6e1-400c-9ba1-bae9fb986eee · inbound
CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback cites this paper.
CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:17:02.192560Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3be15e62-9b4d-439d-87f1-5ddaa2ee5625 · inbound
LRanker: LLM Ranker for Massive Candidates cites this paper.
LRanker: LLM Ranker for Massive Candidates LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T10:33:18.847410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 06fa4eee-dfa1-4dac-9fee-4cf8c007725d · inbound
TSPORec: Token Selection via Preference Optimization for LLM-Based Sequential Recommendation cites this paper.
TSPORec: Token Selection via Preference Optimization for LLM-Based Sequential Recommendation LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:16:55.218488Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.