Paper Citation Record · LEDGER

Enhancing User Intent for Recommendation Systems via Large Language Models

As of 23 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 4 inbound Pith citation observations for arXiv:2501.10871.

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

pith.paper-citation-record.v1
2501.10871 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:57:54.571551Z

measured 27 of 27 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:27:16.877405Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T16:07:41.006459Z

Reference resolution

23 of 23 outbound references displayed

verified exact1
verified fuzzy20
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 648ca162-1e73-464c-ab56-a6e874aea852 · outbound

This paper cites A systematic review on food recomme nder systems,.

Enhancing User Intent for Recommendation Systems via Large Language Models A systematic review on food recomme nder systems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.847889Z

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 083207d4-286e-483e-880b-13fe73c272b8 · outbound

This paper cites Trustworthy recom mender systems,.

Enhancing User Intent for Recommendation Systems via Large Language Models Trustworthy recom mender systems,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.837388Z

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 4eaf82b8-606e-48f6-bcce-8a948f7c938d · outbound

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

Enhancing User Intent for Recommendation Systems via Large Language Models Text classiﬁcation by using natur al language processing,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.826588Z

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 987b072c-decf-4373-8a15-ba66e27e13c2 · outbound

This paper cites Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction.

Enhancing User Intent for Recommendation Systems via Large Language Models Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-10T18:57:54.628530Z

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 6fd61eff-ba24-4951-9fc5-ff38a12b8acf · outbound

This paper cites Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance.

Enhancing User Intent for Recommendation Systems via Large Language Models Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T18:57:54.510774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 585c5079-594c-441e-b8cf-8eaf363d154c · outbound

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

Enhancing User Intent for Recommendation Systems via Large Language Models Applications of large language models in multimodal learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.815440Z

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 e0a462f9-9702-4594-8cbd-9686db7df275 · outbound

This paper cites Collaborative large lan guage model for recommender systems,.

Enhancing User Intent for Recommendation Systems via Large Language Models Collaborative large lan guage model for recommender systems,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.804588Z

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 ea4848d1-98e1-4be4-9a6b-8929b0d4f3e5 · outbound

This paper cites Representation learning with large language models for recommendation,.

Enhancing User Intent for Recommendation Systems via Large Language Models Representation learning with large language models for recommendation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.792880Z

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 09be962c-86b8-430e-b54f-7564db25235b · outbound

This paper cites Supporting knowledge workers through pe rsonal information assistance with context- aware recommender systems,.

Enhancing User Intent for Recommendation Systems via Large Language Models Supporting knowledge workers through pe rsonal information assistance with context- aware recommender systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.782131Z

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 b3477704-9a09-4fec-8f12-d40d32de4ede · outbound

This paper cites Bootstrapped personalized popularity for cold start recommender systems,.

Enhancing User Intent for Recommendation Systems via Large Language Models Bootstrapped personalized popularity for cold start recommender systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.771161Z

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 23976df4-b168-489d-88ee-725745214568 · outbound

This paper cites Multi-intention oriented contrastive learning for sequential recommendation,.

Enhancing User Intent for Recommendation Systems via Large Language Models Multi-intention oriented contrastive learning for sequential recommendation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.759897Z

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 a9490b43-cc9a-4062-a6fd-a2358e904e0c · outbound

This paper cites Intent contr astive learning for sequential recommen- dation,.

Enhancing User Intent for Recommendation Systems via Large Language Models Intent contr astive learning for sequential recommen- dation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.750023Z

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 8ae9f0ff-d258-4a93-be30-a6ca3e5ea66c · outbound

This paper cites Large language models for intent-driven session recommendations,.

Enhancing User Intent for Recommendation Systems via Large Language Models Large language models for intent-driven session recommendations,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.740389Z

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 2fbfaee0-150b-4523-9291-632484a0b90b · outbound

This paper cites When recurrent neural netwo rks meet the neighborhood for session-based recommendation,.

Enhancing User Intent for Recommendation Systems via Large Language Models When recurrent neural netwo rks meet the neighborhood for session-based recommendation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.730431Z

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 462a8ef6-96d6-40c4-981d-1815aa026c6e · outbound

This paper cites Facto rizing personalized markov chains for next- basket recommendation,.

Enhancing User Intent for Recommendation Systems via Large Language Models Facto rizing personalized markov chains for next- basket recommendation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.720036Z

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 5d58af4c-7c0c-4691-976f-d9caebce7386 · outbound

This paper cites Neural att entive session-based recommendation,.

Enhancing User Intent for Recommendation Systems via Large Language Models Neural att entive session-based recommendation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.709782Z

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 3131c38d-1320-42b1-a530-76892352a2e6 · outbound

This paper cites Stamp: short-te rm attention/memory priority model for session-based recommendation,.

Enhancing User Intent for Recommendation Systems via Large Language Models Stamp: short-te rm attention/memory priority model for session-based recommendation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.699347Z

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 427c6465-874b-4bc4-bd72-42f89bd5f1c4 · outbound

This paper cites Global context enhanced graph neural networks for session-based recommendation,.

Enhancing User Intent for Recommendation Systems via Large Language Models Global context enhanced graph neural networks for session-based recommendation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.687495Z

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 75700029-dca0-45fd-a436-d6d4c9772442 · outbound

This paper cites Modeling multi-purpose sessions for next-item recommendations via mixture-channel purpose rou ting networks,.

Enhancing User Intent for Recommendation Systems via Large Language Models Modeling multi-purpose sessions for next-item recommendations via mixture-channel purpose rou ting networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.675419Z

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 eb7d4942-f864-49af-87ad-2e93a4c45c6f · outbound

This paper cites Enhancing hypergraph neural networks with intent dis- entanglement for session-based recommendation,.

Enhancing User Intent for Recommendation Systems via Large Language Models Enhancing hypergraph neural networks with intent dis- entanglement for session-based recommendation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.663478Z

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 7d85afea-1020-4bce-a188-c09569b15f28 · outbound

This paper cites Eﬃciently leveraging multi-level user intent for session-based recommendation via atten-mixer network,.

Enhancing User Intent for Recommendation Systems via Large Language Models Eﬃciently leveraging multi-level user intent for session-based recommendation via atten-mixer network,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.651371Z

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 7ba5a377-0370-47fc-925e-e03a4c693a22 · outbound

This paper cites Towar ds universal sequence representation learning for recommender systems,.

Enhancing User Intent for Recommendation Systems via Large Language Models Towar ds universal sequence representation learning for recommender systems,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:54.640469Z

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 83fb9702-239f-48db-afe1-bc32ac1125e7 · outbound

This paper cites Zero-Shot Next-Item Recommendation using Large Pretrained Language Models.

Enhancing User Intent for Recommendation Systems via Large Language Models Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T18:57:54.571551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 162d5300-fa8d-408b-b3e4-5679d4663e45 · 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 Enhancing User Intent for Recommendation Systems via Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T00:33:43.915893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 848859cc-4381-4e55-9da6-b53aba5048b5 · inbound

A Survey on Large Language Models in Multimodal Recommender Systems cites this paper.

A Survey on Large Language Models in Multimodal Recommender Systems Enhancing User Intent for Recommendation Systems via Large Language Models

Reference 130

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:16.877405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdfa4d69-1afd-4e23-8f84-c8d1a384441e · inbound

Radial Neighborhood Smoothing Recommender System cites this paper.

Radial Neighborhood Smoothing Recommender System Enhancing User Intent for Recommendation Systems via Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:49:10.949276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d4031ce-0470-4552-8019-63019231418d · inbound

Fortress: A Case Study in Stabilizing Search Recommendations via Temporal Data Augmentation and Feature Pruning cites this paper.

Fortress: A Case Study in Stabilizing Search Recommendations via Temporal Data Augmentation and Feature Pruning Enhancing User Intent for Recommendation Systems via Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:07:41.009260Z

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.