Paper Citation Record · LEDGER

The Application of Large Language Models in Recommendation Systems

As of 19 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 4 inbound Pith citation observations for arXiv:2501.02178.

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

pith.paper-citation-record.v1
2501.02178 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:16:47.765495Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:33:43.871364Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:40:09.240121Z

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy13
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdd2d2b5-5c5b-4f92-b671-1c377e4941e4 · outbound

This paper cites Large language models: a comprehensive survey of its applications, challenges, limitations, an d future prospects,.

The Application of Large Language Models in Recommendation Systems Large language models: a comprehensive survey of its applications, challenges, limitations, an d future prospects,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:16:48.001518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b1e56f1e-71a0-4baa-b70b-bd6f7fcea95e · outbound

This paper cites An analysis of large language models: their im pact and potential applications,.

The Application of Large Language Models in Recommendation Systems An analysis of large language models: their im pact and potential applications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:16:47.987325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c44a531-8e19-485b-a141-08eadd17214a · outbound

This paper cites Enhancing user intent for rec ommendation systems via large language models,.

The Application of Large Language Models in Recommendation Systems Enhancing user intent for rec ommendation systems via large language models,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:16:47.973520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7c8d6471-244b-423b-80d3-eb1ad8df294c · outbound

This paper cites Improving recommender systems using hybrid techniques of collaborative ﬁltering and content-base d ﬁltering,.

The Application of Large Language Models in Recommendation Systems Improving recommender systems using hybrid techniques of collaborative ﬁltering and content-base d ﬁltering,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:16:47.961087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1e1a1dd1-be9b-41c2-abe5-9b61e23c5aca · outbound

This paper cites Foundational Models Defining a New Era in Vision: A Survey and Outlook.

The Application of Large Language Models in Recommendation Systems Foundational Models Defining a New Era in Vision: A Survey and Outlook

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T22:16:47.720367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbd726ff-3249-4651-b1b6-eb792279c4e4 · outbound

This paper cites Optimization of transformer h eart disease prediction model based on particle swarm optimization algorithm,.

The Application of Large Language Models in Recommendation Systems Optimization of transformer h eart disease prediction model based on particle swarm optimization algorithm,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:16:47.948859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 91a661c0-a2af-4f50-9710-cbb4bc7c5917 · outbound

This paper cites On fake ne ws detection with llm enhanced semantics mining,.

The Application of Large Language Models in Recommendation Systems On fake ne ws detection with llm enhanced semantics mining,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:16:47.935486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation affd0bed-a58c-40af-9db5-f0dd7ad627f2 · outbound

This paper cites Applications of large language models in multimodal learning,.

The Application of Large Language Models in Recommendation Systems Applications of large language models in multimodal learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:16:47.920663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb64a188-f10c-4782-a5ce-da23f53d74f3 · outbound

This paper cites Applications of large language models (llms) in business analytics–exemplary use ca ses in data preparation tasks,.

The Application of Large Language Models in Recommendation Systems Applications of large language models (llms) in business analytics–exemplary use ca ses in data preparation tasks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:16:47.904191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 17edc237-1329-49d3-bad4-eaddfccfae5f · outbound

This paper cites Automated analysis of causal relationships in cust omer reviews,.

The Application of Large Language Models in Recommendation Systems Automated analysis of causal relationships in cust omer reviews,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:16:47.888612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 60315f32-97ef-4b28-a2df-b30d4401cd30 · outbound

This paper cites Text classiﬁcation by using natur al language processing,.

The Application of Large Language Models in Recommendation Systems Text classiﬁcation by using natur al language processing,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:16:47.873305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 58b83fc3-22c1-4d45-bd2e-b98ddb958511 · outbound

This paper cites Advancing sentiment analysis throu gh emotionally-agnostic text mining in large language models (llms),.

The Application of Large Language Models in Recommendation Systems Advancing sentiment analysis throu gh emotionally-agnostic text mining in large language models (llms),

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:16:47.858289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7515c1d4-5c13-4c25-afc3-1d5d31b97c8a · outbound

This paper cites Application of llms and embeddings in music recommend ation systems,.

The Application of Large Language Models in Recommendation Systems Application of llms and embeddings in music recommend ation systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:16:47.844044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d0979aea-8516-4f90-9f42-555969f6f6c1 · outbound

This paper cites Aligning LLM Agents by Learning Latent Preference from User Edits.

The Application of Large Language Models in Recommendation Systems Aligning LLM Agents by Learning Latent Preference from User Edits

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:16:47.760540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e09e9f97-8846-4fdd-96fa-39b3e22b7e3d · outbound

This paper cites Llm-enhanced multimod al detection of fake news,.

The Application of Large Language Models in Recommendation Systems Llm-enhanced multimod al detection of fake news,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:16:47.830511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 3426ac26-0f4e-4c7a-b463-ebd99dd8d74a · inbound

Mixed-Precision Graph Neural Quantization for Low Bit Large Language Models cites this paper.

Mixed-Precision Graph Neural Quantization for Low Bit Large Language Models The Application of Large Language Models in Recommendation Systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T00:33:43.871364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fb61f7c-7a11-499e-8fb6-b46bf1317ec8 · inbound

When Transformers Meet Recommenders: Integrating Self-Attentive Sequential Recommendation with Fine-Tuned LLMs cites this paper.

When Transformers Meet Recommenders: Integrating Self-Attentive Sequential Recommendation with Fine-Tuned LLMs The Application of Large Language Models in Recommendation Systems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T19:22:28.771101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb2e7de0-e5db-4ec8-a385-470d767990f0 · inbound

Pre-Trained AI Model Assisted Online Decision-Making under Missing Covariates: A Theoretical Perspective cites this paper.

Pre-Trained AI Model Assisted Online Decision-Making under Missing Covariates: A Theoretical Perspective The Application of Large Language Models in Recommendation Systems

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:40:09.322157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3803e35f-a8e3-4779-97f6-e1042e47c182 · inbound

Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles cites this paper.

Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles The Application of Large Language Models in Recommendation Systems

Reference 181

Resolution: unresolved; no resolver link, observed 2026-08-01T17:38:06.471187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.