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.

pith.paper-citation-record.v1
2409.19925 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:16:55.218488Z

measured 0 of 1 external citation measurements

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 2026-08-13T06:32:02.005865+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.