Paper Citation Record · LEDGER

Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.13750.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.13750 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:07:58.576278Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T23:32:58.891601Z

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 8dd6c85f-bd98-4514-a4d0-675a7d262fa6 · inbound

Large Language Model Enhanced Recommender Systems: A Survey cites this paper.

Large Language Model Enhanced Recommender Systems: A Survey Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:48.849039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16829a80-20a4-4c4b-9e26-4e9bdaec2fa2 · inbound

Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models cites this paper.

Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T13:05:44.109361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc46c701-ac5e-4ca6-95e5-bab015cdd8f9 · inbound

An Automatic Graph Construction Framework based on Large Language Models for Recommendation cites this paper.

An Automatic Graph Construction Framework based on Large Language Models for Recommendation Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-11T04:58:31.989412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3906ad50-f7f9-4efe-980c-c689ca7143f3 · inbound

Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems cites this paper.

Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:32:58.895900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 06b3e1d1-5877-48d9-8ef2-da6fe85c5560 · inbound

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms cites this paper.

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph

Reference 115

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:58.576278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e586d107-5c21-47d2-b3a3-c629b46af340 · inbound

From "Strings" to "Things" for Personal Knowledge Graphs: Evaluating LLM Triple Extraction for Recommendation Systems cites this paper.

From "Strings" to "Things" for Personal Knowledge Graphs: Evaluating LLM Triple Extraction for Recommendation Systems Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T19:10:15.118585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.