Paper Citation Record · LEDGER

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.09738.

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

pith.paper-citation-record.v1
2403.09738 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:29:20.091266Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:28:02.561524Z

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

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

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 9145e8c6-243e-4b0e-b446-fcd64bd39c5a · inbound

SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation cites this paper.

SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T12:29:20.091266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 814fe7c3-83fa-4c93-b42b-accd0cd38d9f · inbound

Explainable Recommendation with Simulated Human Feedback cites this paper.

Explainable Recommendation with Simulated Human Feedback Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-16T12:00:06.572423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62a4ed61-94b7-4149-b509-928b82e2af47 · inbound

CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions cites this paper.

CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:36:38.601971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7db04a51-54ee-4542-8586-b1491b43e33c · inbound

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

RecoWorld: Building Simulated Environments for Agentic Recommender Systems Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T17:56:38.869320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac863992-6f07-4634-8d3c-9393ee090205 · inbound

Mind the Sim2Real Gap in User Simulation for Agentic Tasks cites this paper.

Mind the Sim2Real Gap in User Simulation for Agentic Tasks Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:29.358976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 951d67df-b2b8-4798-8972-b540732cfc64 · inbound

User Simulator-Guided Multi-Turn Preference Optimization for Reasoning LLM-based Conversational Recommendation cites this paper.

User Simulator-Guided Multi-Turn Preference Optimization for Reasoning LLM-based Conversational Recommendation Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:28:02.562737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.