Paper Citation Record · LEDGER

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.03988.

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

pith.paper-citation-record.v1
2405.03988 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:52:59.617912Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T12:04:09.525602Z

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 8baf30e3-0b22-4cf5-a338-0a2506428172 · inbound

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information cites this paper.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T19:52:59.617912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62d94227-cd4f-423b-972b-b6a033c1ca28 · inbound

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

Large Language Model Enhanced Recommender Systems: A Survey LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:48.590883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0a0708a-d22f-4326-ba4e-bbfe9d444266 · inbound

Large Language Model as Universal Retriever in Industrial-Scale Recommender System cites this paper.

Large Language Model as Universal Retriever in Industrial-Scale Recommender System LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T10:09:47.382426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21fd6e8f-391e-427b-b4d8-4028039b2342 · inbound

GREAT: Guiding Query Generation with a Trie for Recommending Related Search about Video at Kuaishou cites this paper.

GREAT: Guiding Query Generation with a Trie for Recommending Related Search about Video at Kuaishou LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:58.357864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acd1f83e-c058-408e-8fa7-40b86588e585 · inbound

Towards Comprehensible Recommendation with Large Language Model Fine-tuning cites this paper.

Towards Comprehensible Recommendation with Large Language Model Fine-tuning LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T22:06:55.190201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b9aaeee-e468-4996-9e48-dc5b75bea06b · inbound

STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning cites this paper.

STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T16:15:27.385459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33f8201f-5030-4835-91ae-a9c7f60c6089 · inbound

Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Freshness in Large-Scale Recommenders cites this paper.

Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Freshness in Large-Scale Recommenders LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:04:09.528287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 32c8c2df-f254-4e5c-9e6e-66d082451c9b · inbound

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations cites this paper.

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:06:04.736948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.