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Paper Citation Record · LEDGER

Character-LLM: A Trainable Agent for Role-Playing

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2310.10158.

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

pith.paper-citation-record.v1
2310.10158 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 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 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:31:57.911521Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:46:20.043049Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 289995dc-9ef7-46ce-93a1-f77d58eacf9e · inbound

A Roadmap to Pluralistic Alignment cites this paper.

A Roadmap to Pluralistic Alignment Character-LLM: A Trainable Agent for Role-Playing

Reference 255

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arxiv_id, observed 2026-05-16T14:37:53.612908Z

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.

source=arxiv_source observed=2026-05-16T14:37:53.279275Z digest=sha256:fa49b8720d0cae70dc1071748bcb750cdb7ee39eb4ba58ed5bc915ea9375ba20

Observation 8beadb6f-3d21-421b-9366-d5618faafab9 · 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 Character-LLM: A Trainable Agent for Role-Playing

Reference 105

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arxiv_id, observed 2026-05-15T07:21:40.000295Z

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.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:a5b1ffd5101d56514e347e3fb0dc46f68721f7292e670df1c82f738c1cb0c340

Observation 08d542fd-f972-452b-b354-6fab2bc2b4d1 · inbound

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

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset Character-LLM: A Trainable Agent for Role-Playing

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:52:34.672381Z digest=sha256:ba86d13fdfe503ee6df6cc1a085324c45b858bc0ea3754b31c10f8e8d7e08207

Observation 547d1632-77e8-49df-b657-250705eda0c5 · inbound

SimTube: Generating Simulated Video Comments through Multimodal AI and User Personas cites this paper.

SimTube: Generating Simulated Video Comments through Multimodal AI and User Personas Character-LLM: A Trainable Agent for Role-Playing

Reference 60

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:34:16.347487Z digest=sha256:ab9d44d984fc35613dc8e2ee4f441eeaf38bcfc20e26aaa9ce85a43eac7f6ff6

Observation b22fbf3f-0701-4045-931f-f4e686cda042 · inbound

CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds cites this paper.

CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds Character-LLM: A Trainable Agent for Role-Playing

Reference 2023

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no resolver link, observed 2026-08-11T20:34:34.148123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:34:34.148123Z digest=sha256:d543f9b6b796851bb50c50fe2bf5c26405822cfde9078529dd442f8d124789e2

Observation 960ad85e-feb6-47fc-ae42-035f39dca4d2 · inbound

Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework cites this paper.

Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework Character-LLM: A Trainable Agent for Role-Playing

Reference 88

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no resolver link, observed 2026-08-11T19:28:54.526151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:28:54.526151Z digest=sha256:ef80e2d4730aba611283c60abb92a28d75ce9ce74a6ea7f85a2b09b7a7b21687

Observation b4658bc7-345a-4364-9684-0a0728352a86 · inbound

Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents cites this paper.

Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents Character-LLM: A Trainable Agent for Role-Playing

Reference 24

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no resolver link, observed 2026-08-11T14:09:24.638176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:09:24.638176Z digest=sha256:dd2e3f7aa994f0a390aa4abf6d7fd2ce1eb4d14410f3f9028293fd54aa627605

Observation 5bde5455-613b-4f6b-91f0-6f0cf85919d2 · inbound

Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models cites this paper.

Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models Character-LLM: A Trainable Agent for Role-Playing

Reference 7

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no resolver link, observed 2026-08-10T21:23:38.773394Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:38.773394Z digest=sha256:27cd8262ff76914b54d62a08abdcf59854390ff4b9bc5b889389747b1aa63be2

Observation 8193a34a-bd8c-432b-ae9e-ca069e8917ca · 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 Character-LLM: A Trainable Agent for Role-Playing

Reference 52

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:21:29.041684Z digest=sha256:ec47deeccbb14c476357731f8e4f91a7a93747e55ad9657ecf9caa6a634ed2da

Observation 4b9f6be8-0d23-4841-97e0-8d7dad6836ad · inbound

SPeCtrum: A Grounded Framework for Multidimensional Identity Representation in LLM-Based Agent cites this paper.

SPeCtrum: A Grounded Framework for Multidimensional Identity Representation in LLM-Based Agent Character-LLM: A Trainable Agent for Role-Playing

Reference 4

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no resolver link, observed 2026-08-08T04:35:10.166180Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:35:10.166180Z digest=sha256:9a467215d84eec8cc9e68fc38fe2b792bfe22c71c1b6efcb7f1aab9f31ddd566

Observation 6ea849cf-64f4-4f8c-97e4-42af75ebb81c · inbound

Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment cites this paper.

Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment Character-LLM: A Trainable Agent for Role-Playing

Reference 49

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no resolver link, observed 2026-08-16T12:31:57.911521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:31:57.911521Z digest=sha256:c756c44e946e9a70ab2e151b9af2f3373ee5ae6297985a6ac635dad07278edcc

Observation 5982471d-3842-4dcd-a442-235fb9caf7fb · inbound

ChatNekoHacker: Real-Time Fan Engagement with Conversational Agents cites this paper.

ChatNekoHacker: Real-Time Fan Engagement with Conversational Agents Character-LLM: A Trainable Agent for Role-Playing

Reference 4

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no resolver link, observed 2026-08-16T12:02:28.913359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:02:28.913359Z digest=sha256:42b8d2e751ea263f9ca424477a936582a9958b91de19003f3a81329b107fccf9

Observation 5ad3127e-4047-4a13-a9a0-a1410e96fe18 · inbound

AI with Emotions: Exploring Emotional Expressions in Large Language Models cites this paper.

AI with Emotions: Exploring Emotional Expressions in Large Language Models Character-LLM: A Trainable Agent for Role-Playing

Reference 40

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no resolver link, observed 2026-08-16T11:45:21.077394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:45:21.077394Z digest=sha256:058bc70ff4182ca5df06b0d13deed90b6f72d27c3360af9b24d28b0bfac66c0c

Observation eeb22479-362f-44cd-bd04-d3e2a47ec109 · inbound

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs cites this paper.

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs Character-LLM: A Trainable Agent for Role-Playing

Reference 85

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verified exact
arxiv_id, observed 2026-05-17T11:05:09.768300Z

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.

source=pdf_text observed=2026-05-17T11:05:09.588491Z digest=sha256:d0e8d8fb8f00ba067cfc8e95a92ca080b58a0ae4c838a0d3276c79d33a5c6ac8

Observation aafe28c2-ff8f-4e0d-8754-0f156fad7c49 · inbound

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence cites this paper.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence Character-LLM: A Trainable Agent for Role-Playing

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:07:31.081175Z digest=sha256:215dec4e40d824623b605155e479179bff1f40f0e8c57994fb096508f01e4eda

Observation c404d6b6-b12f-41db-a962-fdae744eea6c · inbound

Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play cites this paper.

Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play Character-LLM: A Trainable Agent for Role-Playing

Reference 50

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no resolver link, observed 2026-08-16T00:47:52.673073Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:47:52.673073Z digest=sha256:6651b76078e761488bf2b2646b034c606b60d27b39fb1306b4366381f04811a9

Observation f8c4e329-fa9b-487b-b4fa-3e53c1a07665 · inbound

{\Psi}-Arena: Interactive Assessment and Optimization of LLM-based Psychological Counselors with Tripartite Feedback cites this paper.

{\Psi}-Arena: Interactive Assessment and Optimization of LLM-based Psychological Counselors with Tripartite Feedback Character-LLM: A Trainable Agent for Role-Playing

Reference 2023

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:46.529372Z digest=sha256:b85d4c5f74a0b08b1a31b42e57234e8fada15ff39f3674ca784ff3c3a59b624d

Observation 67bd1ef1-20e5-4838-ab35-7f554529adef · inbound

Facilitating Video Story Interaction with Multi-Agent Collaborative System cites this paper.

Facilitating Video Story Interaction with Multi-Agent Collaborative System Character-LLM: A Trainable Agent for Role-Playing

Reference 56

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no resolver link, observed 2026-08-16T04:29:49.018585Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:29:49.018585Z digest=sha256:d927c86b5930c2e6c29bbe2d1c9d7a0bf681e605ba43f0124e4522da56ed5289

Observation 39c71228-a6c5-48e3-822e-07ef340fad7f · inbound

Role-Playing Evaluation for Large Language Models cites this paper.

Role-Playing Evaluation for Large Language Models Character-LLM: A Trainable Agent for Role-Playing

Reference 14

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source=pdf_text observed=2026-08-15T20:21:57.673580Z digest=sha256:79b25be38668aabf18b8ea4685c121950e74cacd278dd3d6f9952817453e453c

Observation dd31b16e-7ba3-47d7-a301-90e290e04293 · inbound

Can Past Experience Accelerate LLM Reasoning? cites this paper.

Can Past Experience Accelerate LLM Reasoning? Character-LLM: A Trainable Agent for Role-Playing

Reference 34

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no resolver link, observed 2026-08-07T13:53:57.972825Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:57.972825Z digest=sha256:750ff17df07c26725735f2fddb6926587825d5016abbd029792ac6737a4b869f

Observation 693595af-5b81-4e21-9f00-7c1cda0885dc · inbound

SimuPanel: A Novel Immersive Multi-Agent System to Simulate Interactive Expert Panel Discussion cites this paper.

SimuPanel: A Novel Immersive Multi-Agent System to Simulate Interactive Expert Panel Discussion Character-LLM: A Trainable Agent for Role-Playing

Reference 39

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no resolver link, observed 2026-08-06T23:48:48.858585Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:48:48.858585Z digest=sha256:31cb3e35bd284995d69f0f83276cce1b905447cfc8ac0624c165e2def3674178

Observation aa693f43-b042-47df-a5bd-972f8f8763e6 · inbound

Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training cites this paper.

Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training Character-LLM: A Trainable Agent for Role-Playing

Reference 16

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arxiv_id, observed 2026-05-19T08:27:11.335165Z

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.

source=pdf_text observed=2026-05-19T08:26:12.441869Z digest=sha256:f3bcc090f494ed26fc914f3f5941e0cec97952a1815e778688d0f940b5864738

Observation 4f084740-42d9-4396-a7ee-280a732a014b · inbound

H2HTalk: Evaluating Large Language Models as Emotional Companion cites this paper.

H2HTalk: Evaluating Large Language Models as Emotional Companion Character-LLM: A Trainable Agent for Role-Playing

Reference 30

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source=pdf_text observed=2026-08-06T20:13:27.913206Z digest=sha256:86e69227b617f629198a36e41ea587468f6ea0a280f4359ede79a3eda7be6b56

Observation 16d1ca7c-6a60-4fed-a258-b9511d9a9a83 · 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 Character-LLM: A Trainable Agent for Role-Playing

Reference 25

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source=arxiv_source observed=2026-08-06T15:02:26.986704Z digest=sha256:891cdcb7f570723f29d095df3936e6aec7bbae1b0e0372c2ef429754a6b2020f

Observation 2df3fe0f-a73b-48be-9801-44ce7ecb1840 · 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 Character-LLM: A Trainable Agent for Role-Playing

Reference 24

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source=arxiv_source observed=2026-08-05T22:46:28.446736Z digest=sha256:3f631435bcc45e0e1292993d56544b50a48561ec1df84cfd0c9d8b54595f8ccb

Observation 78047482-f544-4c81-87de-1e75fed57039 · inbound

AudioRole: An Audio Dataset for Character Role-Playing in Large Language Models cites this paper.

AudioRole: An Audio Dataset for Character Role-Playing in Large Language Models Character-LLM: A Trainable Agent for Role-Playing

Reference 20

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arxiv_id, observed 2026-05-18T13:06:23.874564Z

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

source=arxiv_source observed=2026-05-18T13:03:50.876235Z digest=sha256:e5b4402f7cfe3678f5cc03221c32a7500f4dc9b5b15300efec49b643029504ca

Observation 55fa22d1-e2aa-436f-8b49-a2a4e1f10afd · inbound

MOA: Multi-Objective Alignment for Role-Playing Agents cites this paper.

MOA: Multi-Objective Alignment for Role-Playing Agents Character-LLM: A Trainable Agent for Role-Playing

Reference 5

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arxiv_id, observed 2026-05-16T23:18:40.152667Z

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.

source=pdf_text observed=2026-05-16T23:15:47.967612Z digest=sha256:1be72c291c502428b4867a9183a34ec85dd5b9b1b192903950b31aa83c0ed025

Observation 465dba65-2bd8-41c1-a830-fa5fc558830a · inbound

Understanding Generalization in Role-Playing Models via Information Theory cites this paper.

Understanding Generalization in Role-Playing Models via Information Theory Character-LLM: A Trainable Agent for Role-Playing

Reference 5

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arxiv_id, observed 2026-05-16T21:11:17.159798Z

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

source=pdf_text observed=2026-05-16T21:09:22.986406Z digest=sha256:9307d4815b8707408b08c6bcf4d49ac7b8873738973f31328a021b03c69a7101

Observation 23ae8488-9ebc-429a-ae09-7fd7355f5793 · inbound

HumanLLM: Benchmarking and Improving LLM Anthropomorphism via Human Cognitive Patterns cites this paper.

HumanLLM: Benchmarking and Improving LLM Anthropomorphism via Human Cognitive Patterns Character-LLM: A Trainable Agent for Role-Playing

Reference 3

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arxiv_id, observed 2026-05-16T14:38:00.573684Z

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

source=pdf_text observed=2026-05-16T14:34:07.385406Z digest=sha256:4e4162fa6288f2465e67d6ef771226cad763367fff9112f24f139f4271a7136c

Observation 9a7ac390-7a7e-4116-ae8a-07df90672547 · inbound

Rethinking Role-Playing Evaluation: Anonymous Benchmarking and a Systematic Study of Personality Effects cites this paper.

Rethinking Role-Playing Evaluation: Anonymous Benchmarking and a Systematic Study of Personality Effects Character-LLM: A Trainable Agent for Role-Playing

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:03:32.191441Z digest=sha256:210c7b1f1cea825f47b80e57f8bc7951228c3739de291de07b41ae5e99aa6f55

Observation d98a793a-a03c-40fe-a8b0-b5edfee056c2 · 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 Character-LLM: A Trainable Agent for Role-Playing

Reference 4

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arxiv_id, observed 2026-05-10T22:25:51.320154Z

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.

source=pdf_text observed=2026-05-10T19:53:10.939745Z digest=sha256:83478f6853f5a324ccdeee63dea68df439eba41b1e6e92ff8ecbc6ce1d5c0c16

Observation 7ac3fc10-6df2-421c-8b6c-71167734b162 · 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 Character-LLM: A Trainable Agent for Role-Playing

Reference 28

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arxiv_id, observed 2026-05-10T14:25:30.104370Z

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

source=pdf_text observed=2026-05-10T14:22:25.660785Z digest=sha256:2581cd83634f5b463e4a900048510e40434cc0a5c8cc1af0db21469d97304371

Observation 39bd43c1-30a3-4799-b702-8a7bc55b4d9c · inbound

DPN-LE: Dual Personality Neuron Localization and Editing for Large Language Models cites this paper.

DPN-LE: Dual Personality Neuron Localization and Editing for Large Language Models Character-LLM: A Trainable Agent for Role-Playing

Reference 2

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arxiv_id, observed 2026-05-12T10:11:28.594666Z

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.

source=pdf_text observed=2026-05-07T07:11:08.638615Z digest=sha256:9a64a0847ed54b5ea2938dfa5f70f9ce4d336601d22e47aed329d45b98569496

Observation f2aac6af-d3ee-4287-9f11-4f1cc349d2e5 · inbound

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing cites this paper.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing Character-LLM: A Trainable Agent for Role-Playing

Reference 5

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arxiv_id, observed 2026-05-11T17:21:08.775422Z

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.

source=pdf_text observed=2026-05-08T17:40:44.074956Z digest=sha256:e0ed55cf49952a54a09a816ef2f5622eb795d69828989674179561eaf4bbacf8

Observation 497410bd-4f9f-4076-962a-581e54bbe8b9 · inbound

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing cites this paper.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing Character-LLM: A Trainable Agent for Role-Playing

Reference 5

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metadata mismatch
arxiv_id, observed 2026-07-01T13:15:45.509184Z

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.

source=pdf_text observed=2026-06-30T23:51:49.677777Z digest=sha256:e66378027d870246b9af7d91ea5eb9a9171b08d1fa507dadb4fcac04d14fde29

Observation 503260c7-78f7-4beb-a944-b68c28ed3403 · inbound

The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models cites this paper.

The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models Character-LLM: A Trainable Agent for Role-Playing

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:11:08.894125Z

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.

source=pdf_text observed=2026-05-08T10:11:08.494758Z digest=sha256:b81d13aa74930490c2bdb9a59d2fd4376006752b006b950e39791227b2d010e7

Observation 11d737cd-b045-4cfd-a5a5-9ccb14cbab3a · inbound

Fine-Tuning Small Language Models for Solution-Oriented Windows Event Log Analysis cites this paper.

Fine-Tuning Small Language Models for Solution-Oriented Windows Event Log Analysis Character-LLM: A Trainable Agent for Role-Playing

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:21:13.374710Z

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.

source=pdf_text observed=2026-05-08T09:15:08.555551Z digest=sha256:8575af88032636e0bfcf4fd1c26f5b22f37552c0b1c2536e47e560855bf2ccf8

Observation af9418ff-9aff-4d17-9db8-39d09e9f4fad · inbound

Can LLMs Think Like Consumers? Benchmarking Crowd-Level Reaction Reconstruction with ConsumerSimBench cites this paper.

Can LLMs Think Like Consumers? Benchmarking Crowd-Level Reaction Reconstruction with ConsumerSimBench Character-LLM: A Trainable Agent for Role-Playing

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:33:25.431988Z

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.

source=pdf_text observed=2026-05-20T15:31:25.079191Z digest=sha256:46a92f4c4fb29c2c32d5088f101e1ffd0297fdf67753a86b9ca8635f2ad23689

Observation 722190ca-00b0-4f85-97ae-7a2f6ad3bce1 · 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 Character-LLM: A Trainable Agent for Role-Playing

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T22:05:05.681392Z

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.

source=pdf_text observed=2026-06-30T22:02:30.217607Z digest=sha256:bbf2a192ba82a1173032dcdfc01ddf729a23b6664b84d1de3049f1f7e5d0adf5

Observation 69c19064-69a8-4bbb-9651-094e4d75606c · 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 Character-LLM: A Trainable Agent for Role-Playing

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:34:48.491161Z

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.

source=pdf_text observed=2026-06-30T15:17:37.904831Z digest=sha256:359470bd8d36e2ce6a4be3cb8e4216c60bfcb718bc648cf3f6607ad75b517250

Observation 51285142-7ab0-4d0d-867c-d89ea0b2c7b8 · inbound

RoleCDE:Benchmarking and Mitigating Role-Alignment Trade-offs in Role-Playing Agents cites this paper.

RoleCDE:Benchmarking and Mitigating Role-Alignment Trade-offs in Role-Playing Agents Character-LLM: A Trainable Agent for Role-Playing

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:46:20.045584Z

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.

source=arxiv_source observed=2026-06-28T15:00:57.851111Z digest=sha256:16625bf2d4c130fb0922e6f790c01256472c15414d4f5bbde899aa90a0a173bf

Observation c851a627-7352-46e7-9221-e9466497521e · inbound

ProEvent: An Event-centric Benchmark for Proactive Agents cites this paper.

ProEvent: An Event-centric Benchmark for Proactive Agents Character-LLM: A Trainable Agent for Role-Playing

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T17:18:02.464188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:18:02.464188Z digest=sha256:0e47eb9121ab4fe21436ce9fe8809a80159123d898387c760f925943627c9a38