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Paper Citation Record · LEDGER

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2310.00746.

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

pith.paper-citation-record.v1
2310.00746 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:21:29.055002Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T22:05:05.682988Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • 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 e9d49559-b609-4cc6-b530-9cc16c6a1200 · inbound

AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction cites this paper.

AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:49:13.951880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-24T08:47:23.231930Z digest=sha256:cd4570cc185f4cb625fed654e3f15f12a397632262480b0f354f3d446f3fe5e5

Observation 8da25e47-5f9b-475a-b65a-343acbfd0343 · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 145

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T07:21:39.587506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:b44eda232d7ffc152a5852a981864150e0038d00bac4460cd25403d83ff573f8

Observation 5ebc6945-c207-4d0f-9441-63f4e2ed3e4d · inbound

Inertia in Moral and Value Judgments of Large Language Models cites this paper.

Inertia in Moral and Value Judgments of Large Language Models RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:05:50.145721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-23T22:05:17.165589Z digest=sha256:abf96052e441caef124880a32a7e3ffad45096cd5caa89cd6b4a7da8d3b7d3e0

Observation af9a959f-4e5d-40f9-88a1-ca180a8b35ca · inbound

SweetieChat: A Strategy-Enhanced Role-playing Framework for Diverse Scenarios Handling Emotional Support Agent cites this paper.

SweetieChat: A Strategy-Enhanced Role-playing Framework for Diverse Scenarios Handling Emotional Support Agent RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 585

Resolution
malformed identifier
no resolver link, observed 2026-08-11T17:55:52.694183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:55:52.694183Z digest=sha256:1d055184bc630ec73a11e161289630c77685e3d6db743588969b7f72920de805

Observation 294b1b21-43b3-4814-8b5c-02167c713594 · inbound

AI PERSONA: Towards Life-long Personalization of LLMs cites this paper.

AI PERSONA: Towards Life-long Personalization of LLMs RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T13:31:41.410146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:31:41.410146Z digest=sha256:71be51e6a0464c0d3895ff995e1f9268907983146701a793920c268be66a193c

Observation fde1a923-0a51-40e1-acaf-3154b566f1eb · inbound

Adaptive Urban Planning: A Hybrid Framework for Balanced City Development cites this paper.

Adaptive Urban Planning: A Hybrid Framework for Balanced City Development RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T11:33:31.517785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:33:31.517785Z digest=sha256:58a1a0dba9b30f3d6e9e597c7260f3deeeaed049baaa3a9cf9e767ba40e07b2b

Observation c4c9a7de-9eed-4665-8330-a38cc2edcb65 · inbound

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents cites this paper.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.994831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.994831Z digest=sha256:fec0589479034b3195118a45fc10d4f27b5deac6967e681235f0c1d4ba9b091d

Observation ada6bf37-7ea5-4c15-8a56-798e140a5f97 · inbound

From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models cites this paper.

From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T20:21:29.055002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:21:29.055002Z digest=sha256:db92c3506deb6a9d2e529a632d385690b3313038c73bafb4063d2c1fc36e8b75

Observation 94da1345-9c82-41cb-9b39-740e362bd02a · inbound

OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas cites this paper.

OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T14:21:24.254616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:21:24.254616Z digest=sha256:dc8302127d3d30e2d031af5433244b66f1138d98b1b45f7c0d0923bb5195b647

Observation 09600050-530f-44ee-996c-e84908eeaf12 · inbound

Great Power Brings Great Responsibility: Personalizing Conversational AI for Diverse Problem-Solvers cites this paper.

Great Power Brings Great Responsibility: Personalizing Conversational AI for Diverse Problem-Solvers RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T11:43:10.770324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:43:10.770324Z digest=sha256:2200fc4401f81ca8af1dd1cf5cf0043e6489f8c9e83cb2e197ff25cad87d40d8

Observation 9744dde9-3704-4e10-9fe7-8a43e811b5c8 · inbound

Multimodal Generative AI and Foundation Models for Behavioural Health in Online Gambling cites this paper.

Multimodal Generative AI and Foundation Models for Behavioural Health in Online Gambling RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 149

Resolution
unresolved
no resolver link, observed 2026-08-10T15:05:32.735270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:05:32.735270Z digest=sha256:530fb2e918378dcdc5aed71ea6004caf1a86bf4be09967917a282d0982cacf84

Observation c3445007-aab9-468f-93f3-c3b8d8ae0335 · inbound

Concept Incongruence: An Exploration of Time and Death in Role Playing cites this paper.

Concept Incongruence: An Exploration of Time and Death in Role Playing RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T15:31:31.658059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:31:31.658059Z digest=sha256:6237bb397e952d4a86efc26490c76cf5535e63426458952689a271e0f6af11ab

Observation 0c5ba767-8aad-40c3-b612-8f2dce9df986 · inbound

OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction cites this paper.

OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:01:32.967829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:01:32.967829Z digest=sha256:ee7a0a9ec33caac31a78370d273c0d04380e0bb45afca2e3d70830f45ade3e5c

Observation d77d69a2-d7ea-4813-8ba0-7f4c36681d48 · inbound

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems cites this paper.

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 191

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:52:16.113045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T11:49:36.574471Z digest=sha256:78d6c1d82e0bbdc4d7c0c5c92a867a116ad327bb99ca8350cd13beab2261704c

Observation 9d4b3d7f-30fa-41ce-91af-568d219633d1 · inbound

Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks cites this paper.

Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:40.728914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:40.728914Z digest=sha256:0c8daed7df97605f126b1a6585f23b6ab74aa6c35eaf3819f53db1ab3610b17b

Observation 428fe31f-9dfc-4ecf-9332-74760eb580f7 · inbound

Statistical Hypothesis Testing for Auditing Robustness in Language Models cites this paper.

Statistical Hypothesis Testing for Auditing Robustness in Language Models RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:11.168723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:11.168723Z digest=sha256:a178f950e895a39342e1d8236c2c798b031a6271e55beaf59a9cbaa4df18db07

Observation 9c47933e-6571-489f-9442-701dc090511f · inbound

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards cites this paper.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T15:02:27.047188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:02:27.047188Z digest=sha256:9c8e7e153362efa3d0019dcab5da91be453e23f339fe33208838f7ad023f8823

Observation 2368317d-5021-43a4-bff6-150762fe1417 · inbound

LLMs vs. Chinese Anime Enthusiasts: A Comparative Study on Emotionally Supportive Role-Playing cites this paper.

LLMs vs. Chinese Anime Enthusiasts: A Comparative Study on Emotionally Supportive Role-Playing RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T22:46:28.470303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:46:28.470303Z digest=sha256:04f28f1c88ef4e142f41654574ff1eb7338c5e511c6020689f8a4a6756ca4795

Observation db3614dc-7a7f-4451-be46-e0fce240432e · inbound

VoxRole: A Comprehensive Benchmark for Evaluating Speech-Based Role-Playing Agents cites this paper.

VoxRole: A Comprehensive Benchmark for Evaluating Speech-Based Role-Playing Agents RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T10:36:06.461904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:36:06.461904Z digest=sha256:904266098b5837d1c867293cadcfa7b4703bdfa4369dfab602461c563c48ab5a

Observation feb2f6ca-856a-4cd8-acf5-d11a1fe0ab96 · inbound

Moral Susceptibility and Robustness under Persona Role-Play in Large Language Models cites this paper.

Moral Susceptibility and Robustness under Persona Role-Play in Large Language Models RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:20:27.787379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-17T23:16:56.957905Z digest=sha256:4d715296c83c94eb604464c45b659e307e88c74f02e172af37b5b3fc5b2b9e1f

Observation 5f7033f3-7c6f-44b3-9068-e1e0382ce92b · inbound

CARD: Cluster-level Adaptation with Reward-guided Decoding for Personalized Text Generation cites this paper.

CARD: Cluster-level Adaptation with Reward-guided Decoding for Personalized Text Generation RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T15:28:02.408055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T15:24:38.212981Z digest=sha256:e68b8f0363d3a1c716e72c118d597cbfae80c96948228bbb496e6addeda87dea

Observation 09d34916-7578-4e27-9e4d-4da4f8b1e016 · inbound

Context-Value-Action Architecture for Value-Driven Large Language Model Agents cites this paper.

Context-Value-Action Architecture for Value-Driven Large Language Model Agents RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:25:51.348044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T19:53:10.939745Z digest=sha256:c09c7113c280cc8c274bb59988e91cfe9a8b34ffd8e04a81e48c7c8f242be6de

Observation 99666af2-91d6-486c-bf73-c61989ee908b · inbound

Sell More, Play Less: Benchmarking LLM Realistic Selling Skill cites this paper.

Sell More, Play Less: Benchmarking LLM Realistic Selling Skill RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:31:02.381381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-10T17:36:10.725278Z digest=sha256:728d9e92c5b9a4ee7684de67c88242199741370a930f151c60268f7c45ae029b

Observation 5468e0b7-588f-49f3-bf4a-296a70dda8e4 · inbound

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding cites this paper.

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T03:17:12.565697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-16T03:13:37.202362Z digest=sha256:0e345615445057d8119c7330cb19972e4622c95bc681401441245cda1fed1aff

Observation 09ca9687-c2db-4d74-b1e1-13dfdddf5a45 · inbound

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding cites this paper.

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-03T02:40:58.562331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T02:40:58.562331Z digest=sha256:7d6e7b42452cb17753078345c4c447d3a993139ec444f9d474693515e050d333

Observation 02f4014a-b37a-4fed-880f-b224b044916e · inbound

Character Beyond Speech: Leveraging Role-Playing Evaluation in Audio Large Language Models via Reinforcement Learning cites this paper.

Character Beyond Speech: Leveraging Role-Playing Evaluation in Audio Large Language Models via Reinforcement Learning RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:25:30.181017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T14:22:25.660785Z digest=sha256:46df2e406d3851a45458a011544449878fc8e55d272243738024cfe0cebbd74c

Observation 512345cd-19ad-48b9-b230-2f4280775dc2 · inbound

SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning cites this paper.

SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 28

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metadata mismatch
arxiv_id, observed 2026-06-30T22:05:05.684709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T22:02:30.217607Z digest=sha256:9ae64e7d5b852bc8233e478efb2161500b76706bb259d7985901c981c12adede

Observation 264fea4f-e1e3-452a-8e15-8d0555e4adc6 · inbound

ContextEcho: A Benchmark for Persona Drift in Long Agentic-Coding Sessions cites this paper.

ContextEcho: A Benchmark for Persona Drift in Long Agentic-Coding Sessions RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:24:50.198225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T15:17:37.904831Z digest=sha256:dadfab6ed7db80f11f563e1d7d46eabf118ebb519708e8e7d436e7029dcc27ec

Observation 9e043c74-196d-4eb5-8b8e-caf4335a92a3 · inbound

Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm cites this paper.

Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 123

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T13:03:26.789118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T12:54:36.818698Z digest=sha256:6d18c55e3c3286894e612c5754d3620887c6e9dd7bce0141aaa12caedb2a96c9

Observation 4b8b331f-1e6e-4306-8f3e-1ffe52ce7f19 · inbound

A Stepwise Questioning Expert-Editor Multi-Agent Framework for Long-Document Summarization cites this paper.

A Stepwise Questioning Expert-Editor Multi-Agent Framework for Long-Document Summarization RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-14T12:06:16.011748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:06:16.011748Z digest=sha256:f6fd86a01b189770f372b6bc91569983db78d7a42018e1acb27029ebeccb2ee2

Observation 7f5c21eb-0d96-440f-aaad-e334a13303ee · inbound

X$^3$-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment cites this paper.

X$^3$-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 150

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no resolver link, observed 2026-08-01T07:12:17.699323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:12:17.699323Z digest=sha256:03d0e24de3bbdf43d1e394bfa919f844367765be22a668c516b2c7b9c7fe5549

Observation d91f4ac1-41c4-40cc-9663-ba1306916aa7 · inbound

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs cites this paper.

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 68

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unresolved
no resolver link, observed 2026-08-01T08:29:28.888679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:29:28.888679Z digest=sha256:95985a3be4f7d99476214a92469be03344ba3268a69d034bf889ca2c70c3a05a