Paper Citation Record · LEDGER

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations

As of 7 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 7 inbound Pith citation observations for arXiv:2505.14106.

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

pith.paper-citation-record.v1
2505.14106 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:23.733585Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:13:26.701496Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T09:54:34.994786Z

Reference resolution

48 of 48 outbound references displayed

verified exact3
verified fuzzy24
unresolved19
parse uncertain1
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e9861fdb-99de-45c2-8df0-515c31a77adb · outbound

This paper cites Conversational Health Agents: A Personalized LLM-Powered Agent Framework.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Conversational Health Agents: A Personalized LLM-Powered Agent Framework

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:18.519445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e00bf5c9-bc0c-47b8-b2f7-cd2eb10dc9d3 · outbound

This paper cites Persobench: Benchmarking personalized response generation in large language models, 2024.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Persobench: Benchmarking personalized response generation in large language models, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:35.054834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 03167942-a7e7-48c2-bf1e-e6ae533ea020 · outbound

This paper cites Claude 3.5 sonnet.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Claude 3.5 sonnet

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:34.909324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 237bf522-348b-4651-a528-b532151c0119 · outbound

This paper cites A Little Human Data Goes A Long Way.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations A Little Human Data Goes A Long Way

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:43:25.276669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3e01726-ba8e-4cf9-b027-26cfc2176d36 · outbound

This paper cites Personalized Graph-Based Retrieval for Large Language Models.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Personalized Graph-Based Retrieval for Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:19.113061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03232c27-8236-4033-b7d8-f3d2f54d19af · outbound

This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with human judgments.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Meteor: An automatic metric for mt evaluation with improved correlation with human judgments

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:19.244719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a903f797-26e0-48dc-b27f-1e35298c32d9 · outbound

This paper cites LoRe: Personalizing LLMs via Low-Rank Reward Modeling.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations LoRe: Personalizing LLMs via Low-Rank Reward Modeling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:19.367275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8722fdf-21c2-468e-b36a-a02ebb7c345c · outbound

This paper cites Optimal classifier for imbalanced data using matthews correlation coefficient metric.PloS one, 12(6):e0177678, 2017.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Optimal classifier for imbalanced data using matthews correlation coefficient metric.PloS one, 12(6):e0177678, 2017

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:34.490084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 74b080f6-b2ed-42c0-a046-72636d8e93b4 · outbound

This paper cites Beyond prompts: Dy- namic conversational benchmarking of large language models.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Beyond prompts: Dy- namic conversational benchmarking of large language models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:34.268054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f3e6934d-15cb-4155-9c60-ad8fd8a2b49f · outbound

This paper cites Root mean square error (rmse) or mean absolute error (mae).Geoscientific model development discussions, 7(1):1525–1534, 2014.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Root mean square error (rmse) or mean absolute error (mae).Geoscientific model development discussions, 7(1):1525–1534, 2014

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:34.075713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ef064e0-e58f-4565-9410-fc52a2f1045c · outbound

This paper cites When large language models meet personalization: Perspectives of challenges and opportunities.World Wide Web, 27(4):42, 2024.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations When large language models meet personalization: Perspectives of challenges and opportunities.World Wide Web, 27(4):42, 2024

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:19.894818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cc7d673-0b61-4547-aa25-30019abbd5a8 · outbound

This paper cites REALM: A Dataset of Real-World LLM Use Cases.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations REALM: A Dataset of Real-World LLM Use Cases

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:43:24.811302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4e070871-557d-43a0-adea-d59997ee4ab3 · outbound

This paper cites The advantages of the matthews correlation coefficient (mcc) over f1 score and accuracy in binary classification evaluation.BMC genomics, 21:1–13, 2020.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations The advantages of the matthews correlation coefficient (mcc) over f1 score and accuracy in binary classification evaluation.BMC genomics, 21:1–13, 2020

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:33.909265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b06db013-27d0-4816-9cb6-68ce7003e4d0 · outbound

This paper cites The matthews correlation coefficient (mcc) is more informative than cohen’s kappa and brier score in binary classification assessment.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations The matthews correlation coefficient (mcc) is more informative than cohen’s kappa and brier score in binary classification assessment

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:33.761772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 88126155-e729-4f8f-8fc5-f140559fa286 · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:33.595175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c48a18f2-6a9e-40d5-b11d-dd9a31c50a36 · outbound

This paper cites RedCaps: web-curated image-text data created by the people, for the people.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations RedCaps: web-curated image-text data created by the people, for the people

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:20.580260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a06c4d6-7fac-4a12-a0aa-9fc9e604ac27 · outbound

This paper cites The llama 3 herd of models, 2024.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations The llama 3 herd of models, 2024

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:20.662819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 850ceb35-110c-4dc9-9b9a-a27a373e84d2 · outbound

This paper cites Ruddit: Norms of Offensiveness for English Reddit Comments.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Ruddit: Norms of Offensiveness for English Reddit Comments

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:43:24.552148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 194d8e5f-4214-4e7e-bfc7-0a4e1ee518eb · outbound

This paper cites Root mean square error (rmse) or mean absolute error (mae): When to use them or not.Geoscientific Model Development Discussions, 2022:1–10, 2022.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Root mean square error (rmse) or mean absolute error (mae): When to use them or not.Geoscientific Model Development Discussions, 2022:1–10, 2022

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:33.382963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e4f4b3bd-d184-45bd-9946-d970bf281d4c · outbound

This paper cites Rossi, Franck Dernoncourt, Hanieh Deilamsalehy, Xiang Chen, Ruiyi Zhang, Shubham Agarwal, Nedim Lipka, Chien Van Nguyen, Thien Huu Nguyen, and Hamed Zamani.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Rossi, Franck Dernoncourt, Hanieh Deilamsalehy, Xiang Chen, Ruiyi Zhang, Shubham Agarwal, Nedim Lipka, Chien Van Nguyen, Thien Huu Nguyen, and Hamed Zamani

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:33.165335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 570f0968-3ae8-4466-8fbe-45f11d61adc4 · outbound

This paper cites Mt-eval: A multi-turn capabilities evaluation benchmark for large language models, 2024.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Mt-eval: A multi-turn capabilities evaluation benchmark for large language models, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:32.936888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6daae78-9455-4ebb-ac01-1c48db55eb46 · outbound

This paper cites A framework for building adaptive intelligent virtual assistants.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations A framework for building adaptive intelligent virtual assistants

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:32.672196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77ecc1ea-0684-4054-b46c-9b666cf43b3c · outbound

This paper cites Teach LLMs to Personalize -- An Approach inspired by Writing Education.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Teach LLMs to Personalize -- An Approach inspired by Writing Education

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:21.349336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1945642b-fd5f-49bf-a9bd-77d49420dab2 · outbound

This paper cites Panoptic scene graph generation with semantics-prototype learning.Proceedings of the AAAI Conference on Artificial Intelligence, 38(4):3145–3153, Mar.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Panoptic scene graph generation with semantics-prototype learning.Proceedings of the AAAI Conference on Artificial Intelligence, 38(4):3145–3153, Mar

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:32.437751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62133eab-494d-409c-9d3b-59c8a7b733aa · outbound

This paper cites Artificial intelligence in intelligent tutor- ing systems toward sustainable education: a systematic review.Smart Learning Environments, 10(1):41, 2023.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Artificial intelligence in intelligent tutor- ing systems toward sustainable education: a systematic review.Smart Learning Environments, 10(1):41, 2023

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:32.240242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 955fdb45-569b-4517-b7be-6a5169debecc · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Rouge: A package for automatic evaluation of summaries

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:21.651056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 646fc09e-b860-47e2-a683-92459fac4bb5 · outbound

This paper cites Persona-sq: A personalized suggested question generation framework for real-world documents, 2024.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Persona-sq: A personalized suggested question generation framework for real-world documents, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:31.971000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9533affa-216e-4632-8ac6-64befd694cc9 · outbound

This paper cites Soda-eval: Open-domain dialogue evaluation in the age of llms, 2024.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Soda-eval: Open-domain dialogue evaluation in the age of llms, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:31.829533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a054c5ee-571e-44a1-bd79-40f20b53da15 · outbound

This paper cites Gpt-4o mini: advancing cost-efficient intelligence.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Gpt-4o mini: advancing cost-efficient intelligence

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:31.643229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6ac76a55-64bc-42c0-96ca-c0cfd0f0339c · outbound

This paper cites Introducing gpt-4.1 in the api.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Introducing gpt-4.1 in the api

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:31.480886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d69a277-3a48-4798-855c-a90eab1feb4e · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Bleu: a method for automatic evaluation of machine translation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:22.172514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65e016f6-564b-4426-8085-d6a390ff8535 · outbound

This paper cites an unresolved cited work.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:43:31.250804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0fed4877-ccbd-4a02-9aee-37490e77aec9 · outbound

This paper cites an unresolved cited work.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:43:30.988064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e44488dd-ecf2-4aaa-83fb-0f4bdac730a5 · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert- networks.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Sentence-bert: Sentence embeddings using siamese bert- networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:22.486570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e08ac11f-6f2a-4ef2-bcd4-b722c05ab059 · outbound

This paper cites Lamp: When large language models meet personalization, 2024.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Lamp: When large language models meet personalization, 2024

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:30.780537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 639f9236-0fca-4285-9c56-1765c052d4e5 · outbound

This paper cites Ai models collapse when trained on recursively generated data.Nature, 631(8022):755– 759, 2024.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Ai models collapse when trained on recursively generated data.Nature, 631(8022):755– 759, 2024

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:22.649086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbf2d392-76b7-4210-bacf-45ab18e9a5db · outbound

This paper cites Democra- tizing large language models via personalized parameter-efficient fine-tuning.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Democra- tizing large language models via personalized parameter-efficient fine-tuning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:30.623584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d87413e-c6d6-43ab-9c83-59a6cddc2c4e · outbound

This paper cites An ai-based decision support system for predicting mental health disorders.Information Systems Frontiers, 25(3):1261–1276, 2023.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations An ai-based decision support system for predicting mental health disorders.Information Systems Frontiers, 25(3):1261–1276, 2023

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:30.404821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b15c0d2-b97b-46a3-abd4-7495a23729a5 · outbound

This paper cites Position: Will we run out of data? limits of llm scaling based on human-generated data.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Position: Will we run out of data? limits of llm scaling based on human-generated data

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:22.943347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d03cefe-d484-4bf3-8557-0007abc5c064 · outbound

This paper cites Personalized Multimodal Large Language Models: A Survey.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Personalized Multimodal Large Language Models: A Survey

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:23.001354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c64fbc1-cfc5-4224-ba00-99c35c647e1c · outbound

This paper cites A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:23.118282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5e06eb9-0d06-48ae-bf85-deb4ba1386b5 · outbound

This paper cites xdial-eval: A multilingual open-domain dialogue evaluation benchmark.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations xdial-eval: A multilingual open-domain dialogue evaluation benchmark

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:30.185319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ca8f1e77-8842-440d-a565-21323465c189 · outbound

This paper cites an unresolved cited work.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:43:25.986776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e23151f7-29ff-40fe-9dbb-d849f8ae67e2 · outbound

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

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Personalization of Large Language Models: A Survey

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:23.443293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9e526ef-fff8-4464-832b-32f5844900cb · outbound

This paper cites DiQAD: A benchmark dataset for open-domain dialogue quality assessment.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations DiQAD: A benchmark dataset for open-domain dialogue quality assessment

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:25.739429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 791e650c-e121-426e-87d2-3373f14446e5 · outbound

This paper cites Zollo, Andrew Wei Tung Siah, Naimeng Ye, Ang Li, and Hongseok Namkoong.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Zollo, Andrew Wei Tung Siah, Naimeng Ye, Ang Li, and Hongseok Namkoong

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:25.537365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7c921583-99e9-4d70-8560-649b95daa7cc · outbound

This paper cites Best Response.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Best Response

Reference 48

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:43:24.106045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c5c23a3-3e7f-4e88-9235-16ffc7f9185b · outbound

This paper cites an unresolved cited work.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations Unresolved cited work

Reference 2024

Resolution: parse uncertain; raw_fallback, observed 2026-08-07T15:43:34.736747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation bd3124c4-1797-4d42-9b63-7bc0125cb811 · inbound

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization cites this paper.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:26.701496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84a226cc-6e86-4bcb-af97-65ad555a9fe3 · inbound

Cat-DPO: Category-Adaptive Safety Alignment cites this paper.

Cat-DPO: Category-Adaptive Safety Alignment A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:36:01.741205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

A Survey on LLM-based Conversational User Simulation cites this paper.

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 2026-08-07T06:34:17.273281+00:00.

Observation 18109681-da7c-4dc8-9741-66ce23d3569d · inbound

TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation cites this paper.

TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:06:26.182424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7364afbf-13de-463a-8464-87a822720ec4 · inbound

F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking cites this paper.

F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:52:52.347650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bfa57893-7f3d-4d52-96d5-3d73151bf6d4 · inbound

Agent Safety Is Action Alignment cites this paper.

Agent Safety Is Action Alignment A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T09:54:34.996301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b7a42867-3b8e-4f87-b3a1-afb6ee7d0ab8 · inbound

Benchmarking the Personalization Capabilities of Large Language Models cites this paper.

Benchmarking the Personalization Capabilities of Large Language Models A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T13:17:09.892437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.