Paper Citation Record · LEDGER

Leveraging Large Language Models in Conversational Recommender Systems

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2305.07961.

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

pith.paper-citation-record.v1
2305.07961 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:29:40.566519Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:58:32.769100Z

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 478f6d08-7e46-4bfa-a518-916494590a2e · inbound

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset cites this paper.

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset Leveraging Large Language Models in Conversational Recommender Systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T21:52:34.637138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6858055f-3ed3-4191-9a19-1a226eca333a · inbound

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation cites this paper.

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation Leveraging Large Language Models in Conversational Recommender Systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T10:20:46.640509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 676fab96-0322-4e47-9bf9-e289886b6e76 · inbound

LLMs as Debate Partners: Utilizing Genetic Algorithms and Adversarial Search for Adaptive Arguments cites this paper.

LLMs as Debate Partners: Utilizing Genetic Algorithms and Adversarial Search for Adaptive Arguments Leveraging Large Language Models in Conversational Recommender Systems

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:52.761869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d181acd9-4559-4565-a703-12425c6aa038 · inbound

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation cites this paper.

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation Leveraging Large Language Models in Conversational Recommender Systems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T05:00:35.284271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 286b8b5c-8e0e-4784-bd27-2f1a2b2b9a65 · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) Leveraging Large Language Models in Conversational Recommender Systems

Reference 116

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:33:39.377000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

A Survey on LLM-powered Agents for Recommender Systems cites this paper.

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 d88f8c49-840f-4f07-81ae-4c0ec4f92594 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning Leveraging Large Language Models in Conversational Recommender Systems

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:22:09.083891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0e167e74-3a28-4b8f-a347-4e66f388ad70 · inbound

From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System cites this paper.

From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System Leveraging Large Language Models in Conversational Recommender Systems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:29:40.566519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9213def2-c7bb-486d-b4e1-5499830ef538 · inbound

Preserving Privacy and Utility in LLM-Based Product Recommendations cites this paper.

Preserving Privacy and Utility in LLM-Based Product Recommendations Leveraging Large Language Models in Conversational Recommender Systems

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.119274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5f40bfc-45c2-47f7-87a0-4a4dbe76d1bf · inbound

Alexandria: A Library of Pluralistic Values for Realtime Re-Ranking of Social Media Feeds cites this paper.

Alexandria: A Library of Pluralistic Values for Realtime Re-Ranking of Social Media Feeds Leveraging Large Language Models in Conversational Recommender Systems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T21:07:41.824598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c953b29-f8b9-45f5-a763-9179bbe57fd8 · inbound

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

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems Leveraging Large Language Models in Conversational Recommender Systems

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:10.659565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 264598d0-df33-4734-ba81-49371344cd8b · inbound

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models cites this paper.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Leveraging Large Language Models in Conversational Recommender Systems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.744862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5187660c-4425-484e-936b-200b894e461a · inbound

Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects cites this paper.

Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects Leveraging Large Language Models in Conversational Recommender Systems

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-15T19:20:29.614075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29252005-ac75-482c-b4d8-2a7956a0cd4f · inbound

RecCoT: Enhancing Recommendation via Chain-of-Thought cites this paper.

RecCoT: Enhancing Recommendation via Chain-of-Thought Leveraging Large Language Models in Conversational Recommender Systems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:44.220507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c0583db-521a-4706-9922-ab845b819ac9 · 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 Leveraging Large Language Models in Conversational Recommender Systems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:34.101551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b5e9c1d-a58b-46da-87eb-8a91e3ac3c99 · inbound

CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback cites this paper.

CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback Leveraging Large Language Models in Conversational Recommender Systems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T19:17:02.142593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 167c8b1d-d234-4032-ac11-71742fb12145 · inbound

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning cites this paper.

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning Leveraging Large Language Models in Conversational Recommender Systems

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:41:38.706350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8dd4b130-6c7c-4c25-817d-43271c7f5a61 · inbound

How Personal Characteristics Shape User Exploration of Diverse Movie Recommendations with a LLM-Based Multi-Agent System cites this paper.

How Personal Characteristics Shape User Exploration of Diverse Movie Recommendations with a LLM-Based Multi-Agent System Leveraging Large Language Models in Conversational Recommender Systems

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:56:14.850358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9b1625db-7c85-49fb-9fe4-974fe8cf3430 · inbound

Generative Conversational Recommender System cites this paper.

Generative Conversational Recommender System Leveraging Large Language Models in Conversational Recommender Systems

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-22T04:36:03.492098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a70df647-88cc-4f44-afa7-33e31ec25f77 · 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 Leveraging Large Language Models in Conversational Recommender Systems

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:42:29.150869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 92858218-4fde-493b-920f-c696c76f17b4 · inbound

One Polluted Page Is Enough: Evaluating Web Content Pollution in Generative Recommenders cites this paper.

One Polluted Page Is Enough: Evaluating Web Content Pollution in Generative Recommenders Leveraging Large Language Models in Conversational Recommender Systems

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:58:32.770459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7677fedc-d005-4019-bd41-98acf4b08dff · inbound

LLM-Based Re-Ranking for Real Estate Search cites this paper.

LLM-Based Re-Ranking for Real Estate Search Leveraging Large Language Models in Conversational Recommender Systems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T00:57:30.634254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a69f865c-ee67-4887-b1ef-b5f6a7fa5cd8 · inbound

LLM-OSDA: An Optimal-Stopping Dynamic Auction for Native Advertising in Multi-Turn LLM Conversations cites this paper.

LLM-OSDA: An Optimal-Stopping Dynamic Auction for Native Advertising in Multi-Turn LLM Conversations Leveraging Large Language Models in Conversational Recommender Systems

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T01:26:33.076330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 950f40ba-ac14-4f1f-a949-1b9a8b2d1520 · inbound

LLM-OSDA: An Optimal-Stopping Dynamic Auction for Native Advertising in Multi-Turn LLM Conversations cites this paper.

LLM-OSDA: An Optimal-Stopping Dynamic Auction for Native Advertising in Multi-Turn LLM Conversations Leveraging Large Language Models in Conversational Recommender Systems

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T04:30:43.333661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 510c6e73-a37f-4571-9939-dd5385fa8c65 · inbound

Position Bias Undermines Preference Consistency in Listwise LLM-Based Reranking cites this paper.

Position Bias Undermines Preference Consistency in Listwise LLM-Based Reranking Leveraging Large Language Models in Conversational Recommender Systems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T14:56:43.824481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4477c891-8e66-4463-8af1-89977b729051 · inbound

Shape Your Feed: An LLM-based Agentic System for Conversational Recommendation cites this paper.

Shape Your Feed: An LLM-based Agentic System for Conversational Recommendation Leveraging Large Language Models in Conversational Recommender Systems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T04:16:37.576942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.