Paper Citation Record · LEDGER

A Survey on LLM-based Conversational User Simulation

As of 5 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2604.24977.

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

pith.paper-citation-record.v1
2604.24977 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T03:21:09.118243Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-20T10:38:12.163635Z

Reference resolution

40 of 40 outbound references displayed

verified exact8
verified fuzzy19
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch11

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdd1ed11-f105-4a1a-92a8-7c555e359fe1 · outbound

This paper cites Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for LLMs.

A Survey on LLM-based Conversational User Simulation Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for LLMs

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:11:12.074544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3725c6d8-76ba-44c5-95b1-bf18b55c5d5c · outbound

This paper cites Reinforcement Learning for Long-Horizon Interactive LLM Agents.

A Survey on LLM-based Conversational User Simulation Reinforcement Learning for Long-Horizon Interactive LLM Agents

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:11:11.955831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 59e805b3-3007-4098-a293-16dbc1e9c5c9 · outbound

This paper cites A Survey on LLM-as-a-Judge.

A Survey on LLM-based Conversational User Simulation A Survey on LLM-as-a-Judge

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T22:11:11.994347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 349b4ec5-b941-4f6a-8b9e-5ce8aabd74ff · outbound

This paper cites In Proceedings of the 2023 CHI Conference on Hu- man Factors in Computing Systems, CHI 2023, pages 433:1–433:19.

A Survey on LLM-based Conversational User Simulation In Proceedings of the 2023 CHI Conference on Hu- man Factors in Computing Systems, CHI 2023, pages 433:1–433:19

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.600116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4780aa13-c936-438b-8a74-e7db7edc81ac · outbound

This paper cites Interactive Dialogue Agents via Reinforcement Learning on Hindsight Regenerations.

A Survey on LLM-based Conversational User Simulation Interactive Dialogue Agents via Reinforcement Learning on Hindsight Regenerations

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:11:12.057790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6e15b5c2-e257-4afd-9f6c-d9fa3acbc93f · outbound

This paper cites ChatCollab: Exploring Collaboration Between Humans and AI Agents in Software Teams.

A Survey on LLM-based Conversational User Simulation ChatCollab: Exploring Collaboration Between Humans and AI Agents in Software Teams

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:11:11.877680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d74e28a2-6521-4e8f-952a-c5165ab63a57 · outbound

This paper cites Branislav Kveton, Csaba Szepesvári, Zheng Wen, and Azin Ashkan.

A Survey on LLM-based Conversational User Simulation Branislav Kveton, Csaba Szepesvári, Zheng Wen, and Azin Ashkan

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.634214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6c4db9eb-4264-4bfe-a3b1-ce9b68131a79 · outbound

This paper cites InGenerative Intelligence and Intelligent Tutoring Systems - 20th International Conference, ITS 2024, volume 14798 ofLecture Notes in Computer Science, pages 131–148.

A Survey on LLM-based Conversational User Simulation InGenerative Intelligence and Intelligent Tutoring Systems - 20th International Conference, ITS 2024, volume 14798 ofLecture Notes in Computer Science, pages 131–148

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.615094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9c3ecf97-42c7-4499-b1cf-ae5aef7f7f4a · outbound

This paper cites Deal or No Deal? End-to-End Learning for Negotiation Dialogues.

A Survey on LLM-based Conversational User Simulation Deal or No Deal? End-to-End Learning for Negotiation Dialogues

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:11:12.033670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 90cb5057-164b-4b83-b1ea-400ba04d9a45 · outbound

This paper cites InProceedings of the 54th Annual Meeting of the As- sociation for Computational Linguistics, ACL 2016.

A Survey on LLM-based Conversational User Simulation InProceedings of the 54th Annual Meeting of the As- sociation for Computational Linguistics, ACL 2016

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.603642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e0113f25-a5ff-4824-a94c-1ed1365b7eda · outbound

This paper cites A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations.

A Survey on LLM-based Conversational User Simulation A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:11:12.091734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 87b94a2a-999d-4c3d-9897-8a0a42af478f · outbound

This paper cites Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S.

A Survey on LLM-based Conversational User Simulation Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.622624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d0df5de8-4989-4da5-90ec-b96140e23d5d · outbound

This paper cites InProceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, pages 1685–.

A Survey on LLM-based Conversational User Simulation InProceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, pages 1685–

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.645077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f6f6bb95-a2c3-4d43-b85f-7fa71149cbe2 · outbound

This paper cites A Survey of Personalized Large Language Models: Progress and Future Directions.

A Survey on LLM-based Conversational User Simulation A Survey of Personalized Large Language Models: Progress and Future Directions

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:11:12.124488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3d4e1fd0-8257-41ee-bf61-89c93c334aae · outbound

This paper cites Yajiao Liu, Xin Jiang, Yichun Yin, Yasheng Wang, Fei Mi, Qun Liu, Xiang Wan, and Benyou Wang.

A Survey on LLM-based Conversational User Simulation Yajiao Liu, Xin Jiang, Yichun Yin, Yasheng Wang, Fei Mi, Qun Liu, Xiang Wan, and Benyou Wang

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.610880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3797a30e-c4e5-4cd6-b83d-04664add751d · outbound

This paper cites Agentrewardbench: Evaluating automatic evaluations of web agent trajectories.

A Survey on LLM-based Conversational User Simulation Agentrewardbench: Evaluating automatic evaluations of web agent trajectories

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:11:12.108056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d8712658-772d-4e87-bbce-d321a33d1f98 · outbound

This paper cites InProceedings of the 2024 Joint International Con- ference on Computational Linguistics, Language Re- sources and Evaluation, LREC/COLING 2024, pages 5414–5424.

A Survey on LLM-based Conversational User Simulation InProceedings of the 2024 Joint International Con- ference on Computational Linguistics, Language Re- sources and Evaluation, LREC/COLING 2024, pages 5414–5424

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.641726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c56b72f0-e8d5-4ea5-9b24-6675aed6e0b2 · outbound

This paper cites Steering Conversational Large Language Models for Long Emotional Support Conversations.

A Survey on LLM-based Conversational User Simulation Steering Conversational Large Language Models for Long Emotional Support Conversations

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:11:12.146741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 21cc8aea-4ecf-4d33-8cd1-d3c4bd99325b · outbound

This paper cites Multi-User Chat Assistant (MUCA): a Framework Using LLMs to Facilitate Group Conversations.

A Survey on LLM-based Conversational User Simulation Multi-User Chat Assistant (MUCA): a Framework Using LLMs to Facilitate Group Conversations

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:11:12.136846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bed41e8e-daca-4a77-b32e-cb8d7da479f4 · outbound

This paper cites Robert J.

A Survey on LLM-based Conversational User Simulation Robert J

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.596593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3867a389-04ca-488e-a18d-c093f1220c3b · outbound

This paper cites Monika Ol˛ edzka, Mark Benesio Carace, Susana de Oliveira Tomaz, Benny Pan, and Pengfei Jiang.

A Survey on LLM-based Conversational User Simulation Monika Ol˛ edzka, Mark Benesio Carace, Susana de Oliveira Tomaz, Benny Pan, and Pengfei Jiang

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.656427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 70cf82d2-d14a-48e6-98fb-a8c56efd0323 · outbound

This paper cites GPT-4 Technical Report.

A Survey on LLM-based Conversational User Simulation GPT-4 Technical Report

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T22:11:11.912783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation de07155d-5d76-4bf1-b7cb-d04b67cf7274 · outbound

This paper cites InAdvances in Neural Information Processing Systems 35: Annual Confer- ence on Neural Information Processing Systems 2022, NeurIPS 2022, volume 35, pages 27730–27744.

A Survey on LLM-based Conversational User Simulation InAdvances in Neural Information Processing Systems 35: Annual Confer- ence on Neural Information Processing Systems 2022, NeurIPS 2022, volume 35, pages 27730–27744

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.660543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3797cce5-5a6b-43c6-a8ca-6796bbf27f28 · outbound

This paper cites AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society.

A Survey on LLM-based Conversational User Simulation AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T22:06:35.065350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 480d8db7-d85f-4ab6-bdb0-2ca6b5eef632 · outbound

This paper cites InAdvances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Sys- tems 2023, NeurIPS 2023.

A Survey on LLM-based Conversational User Simulation InAdvances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Sys- tems 2023, NeurIPS 2023

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.618748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d4eab111-5e87-475b-a0cc-70c61aeace67 · outbound

This paper cites RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising.

A Survey on LLM-based Conversational User Simulation RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:11:12.010584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9efa5601-889e-4e77-9ab4-04012164b352 · outbound

This paper cites Personality Traits in Large Language Models.

A Survey on LLM-based Conversational User Simulation Personality Traits in Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:11:11.976786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 80b422b8-0285-4fb7-8f62-26a0aa984987 · outbound

This paper cites Yunfan Shao, Linyang Li, Junqi Dai, and Xipeng Qiu.

A Survey on LLM-based Conversational User Simulation Yunfan Shao, Linyang Li, Junqi Dai, and Xipeng Qiu

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.652366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4639b13d-37ce-4c8a-99e5-f12d83209859 · outbound

This paper cites InProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, pages 13153–13187.

A Survey on LLM-based Conversational User Simulation InProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, pages 13153–13187

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.607656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 55aeb80c-8688-428f-9698-238ae76f52d5 · outbound

This paper cites Retrieval-Augmented Simulacra: Generative Agents for Up-to-date and Knowledge-Adaptive Simulations.

A Survey on LLM-based Conversational User Simulation Retrieval-Augmented Simulacra: Generative Agents for Up-to-date and Knowledge-Adaptive Simulations

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:11:11.938707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dce21a4b-9871-4f75-8452-491b564f319a · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

A Survey on LLM-based Conversational User Simulation LLaMA: Open and Efficient Foundation Language Models

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-11T22:06:35.295788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f24c3792-a519-475d-8fd8-d1196b7d04d1 · outbound

This paper cites Position: LLMs Can be Good Tutors in English Education.

A Survey on LLM-based Conversational User Simulation Position: LLMs Can be Good Tutors in English Education

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:06:35.420362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5fafc0aa-1ab5-4e9b-8233-8942617354e0 · outbound

This paper cites Mathvc: An llm-simulated multi-character virtual classroom for mathematics education.

A Survey on LLM-based Conversational User Simulation Mathvc: An llm-simulated multi-character virtual classroom for mathematics education

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:06:35.176091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3736fb65-3696-4b38-9017-62727698a099 · outbound

This paper cites These simulators are grounded in well-understood dynamics, unlike human be- havior, which remains far more complex and less predictable.

A Survey on LLM-based Conversational User Simulation These simulators are grounded in well-understood dynamics, unlike human be- havior, which remains far more complex and less predictable

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.664193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation eead0601-2a53-4193-9e95-abed09d6b15a · outbound

This paper cites an unresolved cited work.

A Survey on LLM-based Conversational User Simulation Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-05-26T22:08:23.589387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2cca1469-8fde-4b1c-9b1a-85733c169497 · outbound

This paper cites It combines Monte Carlo Tree Search (MCTS) with self-critique and iterative fine-tuning, learning from both positive and negative conversational trajecto- ries.

A Survey on LLM-based Conversational User Simulation It combines Monte Carlo Tree Search (MCTS) with self-critique and iterative fine-tuning, learning from both positive and negative conversational trajecto- ries

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.593155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 71e3fc82-0581-45e1-9efd-1cf4c828cc49 · outbound

This paper cites role-play prompting.

A Survey on LLM-based Conversational User Simulation role-play prompting

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.638171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c46e1183-d0f6-4434-bf02-b04c245df3bc · outbound

This paper cites novice buyer.

A Survey on LLM-based Conversational User Simulation novice buyer

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.630639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3684ad18-1a1d-4c54-a0af-058238608f87 · outbound

This paper cites an unresolved cited work.

A Survey on LLM-based Conversational User Simulation Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-05-26T22:08:23.648396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f0c46d44-3b29-440e-97a7-42c789d31378 · outbound

This paper cites They un- derscore the importance of careful prompt writ- ing and using these methods earlier in the design process for need finding and early feedback.

A Survey on LLM-based Conversational User Simulation They un- derscore the importance of careful prompt writ- ing and using these methods earlier in the design process for need finding and early feedback

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:08:23.626739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 978307b9-4e01-4198-8b92-7ee88a4a0578 · inbound

SCICONVBENCH: Benchmarking LLMs on Multi-Turn Clarification for Task Formulation in Computational Science cites this paper.

SCICONVBENCH: Benchmarking LLMs on Multi-Turn Clarification for Task Formulation in Computational Science A Survey on LLM-based Conversational User Simulation

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:38:12.165535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.