Paper Citation Record · LEDGER

A Survey on LLM-powered Agents for Recommender Systems

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 18 inbound Pith citation observations for arXiv:2502.10050.

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

pith.paper-citation-record.v1
2502.10050 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:39:03.942187Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:09.180499Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T18:42:29.230894Z

Reference resolution

44 of 44 outbound references displayed

verified exact1
verified fuzzy26
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c650eef-cf7b-44cb-8822-f19db8c5b76c · outbound

This paper cites GPT-4 Technical Report.

A Survey on LLM-powered Agents for Recommender Systems GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.399995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a17a174-4c29-4932-8b0f-7625e4ebcf14 · outbound

This paper cites Agentic Feedback Loop Modeling Improves Recommendation and User Simulation.

A Survey on LLM-powered Agents for Recommender Systems Agentic Feedback Loop Modeling Improves Recommendation and User Simulation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.415656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64e999b2-c3be-4827-9bca-eafc92264a2a · outbound

This paper cites A Multi-Agent Conversational Recommender System.

A Survey on LLM-powered Agents for Recommender Systems A Multi-Agent Conversational Recommender System

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.470953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27b71d92-47ff-4009-b111-759025771633 · outbound

This paper cites Leveraging Large Language Models in Conversational Recommender Systems.

A Survey on LLM-powered Agents for Recommender Systems Leveraging Large Language Models in Conversational Recommender Systems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.497318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6be96f0e-1e34-464b-aad2-443a73bddab9 · outbound

This paper cites Knowledge Graph Enhanced Language Agents for Recommendation.

A Survey on LLM-powered Agents for Recommender Systems Knowledge Graph Enhanced Language Agents for Recommendation

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T19:39:04.272541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b1ced43e-3f7f-4a06-8115-22ca53f6d687 · outbound

This paper cites The movielens datasets: History and context.

A Survey on LLM-powered Agents for Recommender Systems The movielens datasets: History and context

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:05.199858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c1274dc-2454-4454-80db-e6fad5c9d1cd · outbound

This paper cites Large language models are zero-shot rankers for recommender systems.

A Survey on LLM-powered Agents for Recommender Systems Large language models are zero-shot rankers for recommender systems

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:05.150895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1474f12d-dd19-4867-ac38-1b5497bd4ae5 · outbound

This paper cites Collaborative filtering for implicit feedback datasets.

A Survey on LLM-powered Agents for Recommender Systems Collaborative filtering for implicit feedback datasets

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:05.136223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a2c57f7-015d-4015-b47d-614fc6eaa0d2 · outbound

This paper cites A survey on conversational recommender systems.

A Survey on LLM-powered Agents for Recommender Systems A survey on conversational recommender systems

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:05.107091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7543992b-5ae5-47fa-8c34-27dffd323728 · outbound

This paper cites Image-based recommendations on styles and substitutes.

A Survey on LLM-powered Agents for Recommender Systems Image-based recommendations on styles and substitutes

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.853154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d1c3368d-c315-42d3-88bf-324b233b00cf · outbound

This paper cites Opendialkg: Explainable conver- sational reasoning with attention-based walks over knowl- edge graphs.

A Survey on LLM-powered Agents for Recommender Systems Opendialkg: Explainable conver- sational reasoning with attention-based walks over knowl- edge graphs

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.836900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4af96b27-9b93-4131-a893-f0b890722a46 · outbound

This paper cites Cheatagent: Attacking llm-empowered recommender systems via llm agent.

A Survey on LLM-powered Agents for Recommender Systems Cheatagent: Attacking llm-empowered recommender systems via llm agent

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.805240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0dcee3e9-ad46-4aa1-9a06-fb7eda1e25c7 · outbound

This paper cites Generative agents: Interactive simu- lacra of human behavior.

A Survey on LLM-powered Agents for Recommender Systems Generative agents: Interactive simu- lacra of human behavior

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.790380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 652317ef-28d9-4f25-a4f9-e8d4a689517f · outbound

This paper cites Gorilla: Large Language Model Connected with Massive APIs.

A Survey on LLM-powered Agents for Recommender Systems Gorilla: Large Language Model Connected with Massive APIs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.672238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 538e2f76-8350-4fac-b2a6-4fda965b9bb4 · outbound

This paper cites Tool- former: Language models can teach themselves to use tools.

A Survey on LLM-powered Agents for Recommender Systems Tool- former: Language models can teach themselves to use tools

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.773938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e5511cde-d721-4475-a5db-c631197f9647 · outbound

This paper cites ULMRec: User-centric Large Language Model for Sequential Recommendation.

A Survey on LLM-powered Agents for Recommender Systems ULMRec: User-centric Large Language Model for Sequential Recommendation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.681918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f090c6e-fdca-4092-99c4-e9867cb6f1b0 · outbound

This paper cites Hug- ginggpt: Solving ai tasks with chatgpt and its friends in hugging face.

A Survey on LLM-powered Agents for Recommender Systems Hug- ginggpt: Solving ai tasks with chatgpt and its friends in hugging face

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.757142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation af0e3438-2731-4288-a594-737f3c577bac · outbound

This paper cites Large language models are learnable planners for long-term recommendation.

A Survey on LLM-powered Agents for Recommender Systems Large language models are learnable planners for long-term recommendation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.740244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0ae3c32b-2b59-474d-9072-f2b609c851b3 · outbound

This paper cites Rah! recsys–assistant–human: A human-centered recommen- dation framework with llm agents.

A Survey on LLM-powered Agents for Recommender Systems Rah! recsys–assistant–human: A human-centered recommen- dation framework with llm agents

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.722484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5f0444a8-b9d6-4ee1-a166-8377be1261a1 · outbound

This paper cites Personalized Recommendation Systems using Multimodal, Autonomous, Multi Agent Systems.

A Survey on LLM-powered Agents for Recommender Systems Personalized Recommendation Systems using Multimodal, Autonomous, Multi Agent Systems

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.711992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ab7d134-0b24-48fe-9193-9dc3264bdd71 · outbound

This paper cites User Behavior Simulation with Large Language Model based Agents.

A Survey on LLM-powered Agents for Recommender Systems User Behavior Simulation with Large Language Model based Agents

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.716608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3da40686-f018-458d-a70c-9d20be5ccc18 · outbound

This paper cites DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation.

A Survey on LLM-powered Agents for Recommender Systems DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.722324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 507926a5-8cb6-4aec-85b9-432495f72868 · outbound

This paper cites A survey on accuracy- oriented neural recommendation: From collaborative fil- tering to information-rich recommendation.

A Survey on LLM-powered Agents for Recommender Systems A survey on accuracy- oriented neural recommendation: From collaborative fil- tering to information-rich recommendation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.702313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1394342d-548c-464a-95f7-9e837a41adac · outbound

This paper cites Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation.

A Survey on LLM-powered Agents for Recommender Systems Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.773227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73cf3fb0-5fb6-4acd-b90c-663387abdcf0 · outbound

This paper cites LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking.

A Survey on LLM-powered Agents for Recommender Systems LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.794326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 849b16de-5c3a-4066-b548-ae24ccea13d7 · outbound

This paper cites Automated interactive domain-specific conversa- tional agents that understand human dialogs.

A Survey on LLM-powered Agents for Recommender Systems Automated interactive domain-specific conversa- tional agents that understand human dialogs

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.562728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7da6f85c-2ded-4bd9-9738-ac98a8ea8310 · outbound

This paper cites CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation.

A Survey on LLM-powered Agents for Recommender Systems CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.883434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2413d56-64ff-4ac0-aad7-866ec922ffa9 · outbound

This paper cites Prospect Personalized Recommendation on Large Language Model-based Agent Platform.

A Survey on LLM-powered Agents for Recommender Systems Prospect Personalized Recommendation on Large Language Model-based Agent Platform

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.914106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d2ca2b4-214d-4d66-9ced-5f72b94e7444 · outbound

This paper cites LLM-Powered User Simulator for Recommender System.

A Survey on LLM-powered Agents for Recommender Systems LLM-Powered User Simulator for Recommender System

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.919492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc72462e-3a4a-4131-a8c7-30d2c3077b87 · outbound

This paper cites Let me do it for you: Towards llm empowered recommendation via tool learning.

A Survey on LLM-powered Agents for Recommender Systems Let me do it for you: Towards llm empowered recommendation via tool learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.487988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 222e5862-48d7-40fc-9956-540aeaf2ed2c · outbound

This paper cites Adapting large language models by integrating collabo- rative semantics for recommendation.

A Survey on LLM-powered Agents for Recommender Systems Adapting large language models by integrating collabo- rative semantics for recommendation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.410274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3c76e7bd-0963-4da8-8539-71fa55834c47 · outbound

This paper cites A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems.

A Survey on LLM-powered Agents for Recommender Systems A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.936360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a87b957a-d5aa-4c81-b5fc-fe9701e5d3ac · outbound

This paper cites Recommender sys- tems meet large language model agents: A survey.

A Survey on LLM-powered Agents for Recommender Systems Recommender sys- tems meet large language model agents: A survey

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.392707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6bd4ea36-0d11-417a-8a03-351436572a98 · outbound

This paper cites Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.

A Survey on LLM-powered Agents for Recommender Systems Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.623679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04a9995c-8782-4ccb-8a87-11256ac3c4ff · outbound

This paper cites SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems.

A Survey on LLM-powered Agents for Recommender Systems SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.444060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d518a41a-de04-4021-a4ae-89082d807f1a · outbound

This paper cites Neural collabo- rative filtering.

A Survey on LLM-powered Agents for Recommender Systems Neural collabo- rative filtering

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:05.182580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e7970e01-1bae-4a26-9fd7-fe356dfd2ae9 · outbound

This paper cites Large lan- guage models as zero-shot conversational recommenders.

A Survey on LLM-powered Agents for Recommender Systems Large lan- guage models as zero-shot conversational recommenders

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:05.166706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f2c9e607-873a-416c-a4f3-b4d4c95ed456 · outbound

This paper cites Interactive path reasoning on graph for conversa- tional recommendation.

A Survey on LLM-powered Agents for Recommender Systems Interactive path reasoning on graph for conversa- tional recommendation

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.956931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 16dd7347-2ba2-4000-9838-bca838ac0e5e · outbound

This paper cites A hybrid multi-agent conversational recommender system with llm and search engine in e-commerce.

A Survey on LLM-powered Agents for Recommender Systems A hybrid multi-agent conversational recommender system with llm and search engine in e-commerce

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.821457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8d5df1e7-f37a-4d79-a66b-5987e2a16b03 · outbound

This paper cites Towards deep conversational recommendations.

A Survey on LLM-powered Agents for Recommender Systems Towards deep conversational recommendations

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.873613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b101449e-7003-473f-9919-9c6ff33c36c3 · outbound

This paper cites Self-attentive sequential recommendation.

A Survey on LLM-powered Agents for Recommender Systems Self-attentive sequential recommendation

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:05.027824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7388044d-70c4-4282-8b63-59fea7816392 · outbound

This paper cites React: Synergizing reasoning and acting in language mod- els.

A Survey on LLM-powered Agents for Recommender Systems React: Synergizing reasoning and acting in language mod- els

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:04.653833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5cbe40ec-8c45-4040-954c-5a339309f6f1 · outbound

This paper cites Tallrec: An effec- tive and efficient tuning framework to align large language model with recommendation.

A Survey on LLM-powered Agents for Recommender Systems Tallrec: An effec- tive and efficient tuning framework to align large language model with recommendation

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:05.232836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6a897413-13f4-47ba-8cd1-39e68a8c23ae · outbound

This paper cites Second workshop on information heterogene- ity and fusion in recommender systems (hetrec2011).

A Survey on LLM-powered Agents for Recommender Systems Second workshop on information heterogene- ity and fusion in recommender systems (hetrec2011)

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:39:05.216337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 5727d0f1-971a-47db-8235-9274a41ab441 · inbound

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems cites this paper.

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems A Survey on LLM-powered Agents for Recommender Systems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:09.180499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09c75b9a-ccc6-448d-8770-e33e9a44c66d · inbound

LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking cites this paper.

LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking A Survey on LLM-powered Agents for Recommender Systems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:40:09.325535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e528d29c-ea73-4f01-bd55-2ad98facb86a · inbound

Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Agentic Group Decision Support cites this paper.

Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Agentic Group Decision Support A Survey on LLM-powered Agents for Recommender Systems

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:38.461081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13515b4f-4f1e-42e3-9ca1-838fb7233c8b · inbound

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems cites this paper.

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems A Survey on LLM-powered Agents for Recommender Systems

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T20:43:21.226500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 765234c3-9591-4ba7-8972-a15803c00f83 · inbound

RecoWorld: Building Simulated Environments for Agentic Recommender Systems cites this paper.

RecoWorld: Building Simulated Environments for Agentic Recommender Systems A Survey on LLM-powered Agents for Recommender Systems

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T17:56:38.815778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b9afb07-f69c-4d9d-9eae-77cd16a9a452 · inbound

Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization cites this paper.

Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization A Survey on LLM-powered Agents for Recommender Systems

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T11:11:01.301307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f32a9e67-0f45-499a-a4de-b06b3fc80044 · inbound

S$^2$GR: Stepwise Semantic-Guided Reasoning in Latent Space for Generative Recommendation cites this paper.

S$^2$GR: Stepwise Semantic-Guided Reasoning in Latent Space for Generative Recommendation A Survey on LLM-powered Agents for Recommender Systems

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:24:12.926714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a1106787-33c6-4db8-bc02-ce1d8a311262 · inbound

TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations cites this paper.

TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations A Survey on LLM-powered Agents for Recommender Systems

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:40:32.716389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6b58d536-67bb-417c-a897-a31c2f25a13a · inbound

RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems cites this paper.

RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems A Survey on LLM-powered Agents for Recommender Systems

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:07:17.480096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 93e242d7-91f4-44d5-be6e-565a95c3d5b5 · inbound

Agentic Recommender System with Hierarchical Belief-State Memory cites this paper.

Agentic Recommender System with Hierarchical Belief-State Memory A Survey on LLM-powered Agents for Recommender Systems

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:23:31.931496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 59cfa5a0-3eb9-4e75-9f12-a0f634585c1e · inbound

Agentic Recommender System with Hierarchical Belief-State Memory cites this paper.

Agentic Recommender System with Hierarchical Belief-State Memory A Survey on LLM-powered Agents for Recommender Systems

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:32:19.367289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0d05230b-b607-4759-9e8e-5b3b28b5a906 · inbound

RecoAtlas: From Semantic Plausibility to Set-Level Utility in LLM Recommendation Agents cites this paper.

RecoAtlas: From Semantic Plausibility to Set-Level Utility in LLM Recommendation Agents A Survey on LLM-powered Agents for Recommender Systems

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:29:09.260326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 61fe6dc9-761d-4d24-a7cb-f58557aa2c99 · inbound

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges A Survey on LLM-powered Agents for Recommender Systems

Reference 178

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:42:29.233038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 27e36062-32b3-432d-8d82-3556fe5ae5bf · inbound

Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems cites this paper.

Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems A Survey on LLM-powered Agents for Recommender Systems

Reference 76

Resolution: unresolved; no resolver link, observed 2026-07-11T19:14:13.105401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7db69b2b-f61d-4e07-b86e-57f910bf1b76 · inbound

SR-Agent: An Experience-Driven Agentic Framework for Post-Ranking Strategy Refinement in E-Commerce Recommendation cites this paper.

SR-Agent: An Experience-Driven Agentic Framework for Post-Ranking Strategy Refinement in E-Commerce Recommendation A Survey on LLM-powered Agents for Recommender Systems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T17:14:11.977744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea5413eb-7e5a-4ede-88de-d21007b04333 · inbound

The AI Wave and the Reinvention of Game Discovery: Oversupply, Structural Correction, and Agentic Player-Game Matching cites this paper.

The AI Wave and the Reinvention of Game Discovery: Oversupply, Structural Correction, and Agentic Player-Game Matching A Survey on LLM-powered Agents for Recommender Systems

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-31T03:46:49.096567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e7f2541-f955-4497-baa5-8b4aff37c32c · inbound

HyperAgent4POI: Dynamic Semantic Message Passing on Multi-Agent Hypergraphs for Missing-Modality Recommendation cites this paper.

HyperAgent4POI: Dynamic Semantic Message Passing on Multi-Agent Hypergraphs for Missing-Modality Recommendation A Survey on LLM-powered Agents for Recommender Systems

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T19:47:26.157489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81b4864b-5769-4208-a616-bba3c794af9c · inbound

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity cites this paper.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity A Survey on LLM-powered Agents for Recommender Systems

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.172329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.