Paper Citation Record · LEDGER

Can Large Language Models Understand Preferences in Personalized Recommendation?

As of 10 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2501.13391.

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

pith.paper-citation-record.v1
2501.13391 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:17:33.819265Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:21:07.194530Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

verified exact1
verified fuzzy0
unresolved59
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 203ff6f2-786e-42f3-8e96-0a110e5c7e14 · outbound

This paper cites Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion.

Can Large Language Models Understand Preferences in Personalized Recommendation? Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.488020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49c92a7f-98c8-4e00-b24a-2e358d81acec · outbound

This paper cites TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation.

Can Large Language Models Understand Preferences in Personalized Recommendation? TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.494619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f9c0aa7-3f53-4fae-a907-030ba013570e · outbound

This paper cites PALR: Personalization Aware LLMs for Recommendation.

Can Large Language Models Understand Preferences in Personalized Recommendation? PALR: Personalization Aware LLMs for Recommendation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.501265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 981c745c-208e-408b-aa19-f42b9b654ce0 · outbound

This paper cites Uncovering ChatGPT's Capabilities in Recommender Systems.

Can Large Language Models Understand Preferences in Personalized Recommendation? Uncovering ChatGPT's Capabilities in Recommender Systems

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:17:34.529562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4aa9d474-21bc-4e97-ac4e-ea51d9df152b · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:17:35.107909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9a62ba69-46a7-4ffd-af5f-c3496165d93f · outbound

This paper cites Enhancing Job Recommendation through LLM-based Generative Adversarial Networks.

Can Large Language Models Understand Preferences in Personalized Recommendation? Enhancing Job Recommendation through LLM-based Generative Adversarial Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.517008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbe0ef30-d38f-43b3-9c4e-1dcb9001447b · outbound

This paper cites The Llama 3 Herd of Models.

Can Large Language Models Understand Preferences in Personalized Recommendation? The Llama 3 Herd of Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.523055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22d0c493-3a98-4fac-9a30-e04a5608e95f · outbound

This paper cites Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System.

Can Large Language Models Understand Preferences in Personalized Recommendation? Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.528758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb4de2b9-b66e-4254-abad-5cceb67f9090 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:17:35.086580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f824d2b7-e9fb-4f89-9db8-4b920c19390b · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:17:35.058440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1fb0af47-707c-4b5b-9e87-645e2407770b · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:17:35.032075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bcc607dc-46a4-441c-86ab-d2bf69e60320 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.549208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a90ad78-8828-4a24-a3d4-1acf419017b8 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.554442Z

Source-reported events for the cited work

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Observation 7761c466-389f-4d0a-b6d2-b2995f6eafc5 · outbound

This paper cites Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.

Can Large Language Models Understand Preferences in Personalized Recommendation? Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.561537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60622c94-8c75-4290-a824-1c2a60ea3193 · outbound

This paper cites Large Language Models are Zero-Shot Rankers for Recommender Systems.

Can Large Language Models Understand Preferences in Personalized Recommendation? Large Language Models are Zero-Shot Rankers for Recommender Systems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.566575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a130a72-5611-4821-9d70-e412d8935e91 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.572087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3402431-a2cf-4820-b850-7c72ec862a2e · outbound

This paper cites GPT-4o System Card.

Can Large Language Models Understand Preferences in Personalized Recommendation? GPT-4o System Card

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.577905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad18e068-641f-4953-a886-6ad3b64944d5 · outbound

This paper cites a rvelin and Jaana Kek \.

Can Large Language Models Understand Preferences in Personalized Recommendation? a rvelin and Jaana Kek \

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.583652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de61f101-f2fe-4323-bc1a-5d8d6a7e5465 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:17:34.908742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 26479f65-c4a5-4e45-8b47-c66460fa694a · outbound

This paper cites Mixtral of Experts.

Can Large Language Models Understand Preferences in Personalized Recommendation? Mixtral of Experts

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.593616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f5ece3a-5588-4c0e-b851-3c04180af632 · outbound

This paper cites Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction.

Can Large Language Models Understand Preferences in Personalized Recommendation? Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.598681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2006dce1-195d-45f9-93ec-eff5c06972fe · outbound

This paper cites Scaling Laws for Neural Language Models.

Can Large Language Models Understand Preferences in Personalized Recommendation? Scaling Laws for Neural Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.605022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 335943b7-9f6e-46ea-a39a-faec28fb0583 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Can Large Language Models Understand Preferences in Personalized Recommendation? Gonzalez, Hao Zhang, and Ion Stoica

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.611538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62bf22f2-1fbb-4347-848e-e855fc8ca928 · outbound

This paper cites Personalized Language Modeling from Personalized Human Feedback.

Can Large Language Models Understand Preferences in Personalized Recommendation? Personalized Language Modeling from Personalized Human Feedback

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.617159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c7e6ccd-4b61-40ba-a0dc-12f0e0b1ae21 · outbound

This paper cites DeepSeek-V3 Technical Report.

Can Large Language Models Understand Preferences in Personalized Recommendation? DeepSeek-V3 Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.624581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c9120e5-9cf8-442f-b561-0e83a97bb372 · outbound

This paper cites Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens.

Can Large Language Models Understand Preferences in Personalized Recommendation? Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.631642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24af0f59-ac29-4eac-8bde-17fb264cdc46 · outbound

This paper cites Is ChatGPT a Good Recommender? A Preliminary Study.

Can Large Language Models Understand Preferences in Personalized Recommendation? Is ChatGPT a Good Recommender? A Preliminary Study

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.637007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 749a5ec1-a755-4d5b-a401-a5d24a219cfc · outbound

This paper cites ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models.

Can Large Language Models Understand Preferences in Personalized Recommendation? ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.641770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a732318-813a-4544-8ff5-a52a526637e2 · outbound

This paper cites Are Emergent Abilities in Large Language Models just In-Context Learning?.

Can Large Language Models Understand Preferences in Personalized Recommendation? Are Emergent Abilities in Large Language Models just In-Context Learning?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.646835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e700c7e-7563-4856-a3eb-308512de2516 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.652006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aa7f51e-a82c-42c4-bc3e-a6a2c17f49ca · outbound

This paper cites Zero-Shot Listwise Document Reranking with a Large Language Model.

Can Large Language Models Understand Preferences in Personalized Recommendation? Zero-Shot Listwise Document Reranking with a Large Language Model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.658138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a57b3f00-5f53-4c8a-b4e1-1abc5acd9dd3 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:17:34.845053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a335503-65dd-4908-9c41-e29a7dd7ca61 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.669629Z

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Unavailable: canonical work link unavailable.

Observation bed712e6-88d0-44e3-acb4-935f06b8a01b · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:17:34.801231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 44999cb9-7758-489e-8c31-d4cd24637d5c · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:17:34.781759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 34f9518c-5312-4419-991a-34af5fb01b2c · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.686144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1df70064-5697-4481-a4a7-3baca4dea71f · outbound

This paper cites Qwen2.5 Technical Report.

Can Large Language Models Understand Preferences in Personalized Recommendation? Qwen2.5 Technical Report

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.692478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6092f3fb-0b4e-46bc-9464-d74a4c770bdb · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:17:34.762556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eaaa5d0d-50c8-477e-aad2-e522abec2381 · outbound

This paper cites Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models.

Can Large Language Models Understand Preferences in Personalized Recommendation? Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.703117Z

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Observation 2b8f3de5-3665-49db-ad50-5c745c9a0690 · outbound

This paper cites Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

Can Large Language Models Understand Preferences in Personalized Recommendation? Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.709325Z

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Observation fc62c4f9-df41-4192-812e-3a769c1cfb28 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:17:34.742983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 170315a5-ea72-45d4-8142-1974b8d6a898 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:17:34.717731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9439b5a8-b2f1-429b-bc45-c2f4a50feed9 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:17:34.699633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 662a1520-a88b-4d53-963f-539b4b2c3119 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.734724Z

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Unavailable: canonical work link unavailable.

Observation 643dd8b2-3030-44fb-9fd9-35ec4bb1ca70 · outbound

This paper cites User Modeling in the Era of Large Language Models: Current Research and Future Directions.

Can Large Language Models Understand Preferences in Personalized Recommendation? User Modeling in the Era of Large Language Models: Current Research and Future Directions

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.739881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0ebb297-64ca-4951-bc58-c3e43ad88cb7 · outbound

This paper cites Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts.

Can Large Language Models Understand Preferences in Personalized Recommendation? Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.745502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c7c15b7-8f98-4c13-a872-0054fc998516 · outbound

This paper cites Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning.

Can Large Language Models Understand Preferences in Personalized Recommendation? Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.751561Z

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Observation ee24a763-d025-4a60-a6f1-8ca22424aa3c · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Can Large Language Models Understand Preferences in Personalized Recommendation? Gemma 2: Improving Open Language Models at a Practical Size

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.756494Z

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Observation 03fa2995-a2db-423b-a812-bd50693627c5 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.761135Z

Source-reported events for the cited work

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Observation 41d10818-db76-4d05-aee5-c1ae25336c84 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:17:34.665476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3acf6c5f-5cb3-4972-a079-cbc146f36f8c · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:17:34.646548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9ab6e3b9-7e73-4ef0-a879-9ac827ed481e · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.775341Z

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Observation b965417b-af56-435a-920d-2d6977376525 · outbound

This paper cites Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models.

Can Large Language Models Understand Preferences in Personalized Recommendation? Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.780673Z

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Observation af6ebec0-142b-4cd8-a1e6-da66d7b9d55b · outbound

This paper cites Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge.

Can Large Language Models Understand Preferences in Personalized Recommendation? Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.786507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3c19e98-84da-40e5-9e8d-07fe8881d9f9 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Preferences in Personalized Recommendation? Unresolved cited work

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.792120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30e92eae-0f76-40fe-850f-000e7185666e · outbound

This paper cites Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach.

Can Large Language Models Understand Preferences in Personalized Recommendation? Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.797295Z

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Observation 7d3d8cc7-58a3-4486-9c1a-73a2887349ba · outbound

This paper cites Personalization of Large Language Models: A Survey.

Can Large Language Models Understand Preferences in Personalized Recommendation? Personalization of Large Language Models: A Survey

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.803788Z

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Observation 11686a0e-dc99-4748-9989-ec786c892b80 · outbound

This paper cites BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model.

Can Large Language Models Understand Preferences in Personalized Recommendation? BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.809022Z

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Observation d8db9a83-bda9-46f5-a427-d68fa6e5187d · outbound

This paper cites online" 'onlinestring :=.

Can Large Language Models Understand Preferences in Personalized Recommendation? online" 'onlinestring :=

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.814110Z

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Unavailable: canonical work link unavailable.

Observation 6334ab4b-aab7-41de-a467-c4ce116d9680 · outbound

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Can Large Language Models Understand Preferences in Personalized Recommendation? write newline

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.819265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1b3bb75f-b5be-4b95-b87f-454ee71a668f · inbound

Instant Personalized Large Language Model Adaptation via Hypernetwork cites this paper.

Instant Personalized Large Language Model Adaptation via Hypernetwork Can Large Language Models Understand Preferences in Personalized Recommendation?

Reference 6475

Resolution: unresolved; no resolver link, observed 2026-08-04T09:21:07.194530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.