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Paper Citation Record · LEDGER

Character-LLM: A Trainable Agent for Role-Playing

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 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 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:35:10.166180Z

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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  • verified fuzzy0
  • unresolved0
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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 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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metadata mismatch
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-16T14:37:53.279275Z digest=sha256:6e4f4c02be503bfa8270057fceec0c13bb250470f81d46e72ae9a84b8094df78

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

Resolution
verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:1d10f0c2eeb082daa196eb5a140f0856a8394461e179db51f525394a103e2bdc

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:35:10.166180Z digest=sha256:83daa75313e70ff9dcf199961781c3a0ec45bf933b6d421f0645f529a46bdc56

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T11:05:09.588491Z digest=sha256:ea2100de0b787ac775cd3cdc26b2531e89a8c5cf25b413a456ade142fe1bd436

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:57.972825Z digest=sha256:f80f2d115c130df2519f2f54a290c09d266ad084fb4ac6b61b4b0867222b9343

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:48:48.858585Z digest=sha256:abd3d284a90281a8762f6066278c83393eb71b6f9f868adad181b61396ca569f

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

Resolution
metadata mismatch
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T08:26:12.441869Z digest=sha256:c8571e4f8ad7a6a15bdbd3ae379f350df3e2553eda0e96f747e491b53722be8f

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:13:27.913206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:13:27.913206Z digest=sha256:630bcc6270750152f716b6f3d9d0cb68321efab0c14123ccc5512998a9e84409

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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unresolved
no resolver link, observed 2026-08-06T15:02:26.986704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:02:26.986704Z digest=sha256:0ff480b7abc3f278e69e41341e9ae555d25bf108e2e6dccb236c6829f43e2b29

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:46:28.446736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:46:28.446736Z digest=sha256:d12cefd0ee80945a9d1899ab307ef48535c7c5a54364974eded61365450bebb8

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T13:03:50.876235Z digest=sha256:ea62e667b510fbfe3f3d286c8a05021e8e646224891558984064867a023c4f0f

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

Resolution
metadata mismatch
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T23:15:47.967612Z digest=sha256:d7347aa6900e3df26d5703a0436281f16010bacf2986deeebe6efb8ad35d0e61

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T21:09:22.986406Z digest=sha256:55bbc9445a7df6759c843ec142dbd78e63869cd699195629599a4f98e0508c2d

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T14:34:07.385406Z digest=sha256:6c4e9876fad412031ad5971971ad28cf6e8a2c96defe8fd247c3b87b6f1f0101

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

Resolution
unresolved
no resolver link, observed 2026-08-02T19:03:32.191441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:03:32.191441Z digest=sha256:ca163fa91e51c32a38013ee5e6b28007fe4485bf4e4391932cfe688e6eba7a44

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

Resolution
metadata mismatch
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T19:53:10.939745Z digest=sha256:8c9063e224a120a0b8e42fbf1353cf41e9e2bc5a4ed6ed443ca3d13880fef1bc

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T14:22:25.660785Z digest=sha256:2e328ccfa0a19432937f77bce3e6f91e5926bf2ab2895548abea5eef0fc6af5a

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

Resolution
metadata mismatch
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T07:11:08.638615Z digest=sha256:3ac94409059eb69f166938657c10490755ffc33ac5ef65a67cf8b670f85fa29b

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

Resolution
metadata mismatch
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T17:40:44.074956Z digest=sha256:555bc7ccff620de263d0ccd0937e8d9c713b9c9b1668d60ecadcc1e58ebaf040

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T23:51:49.677777Z digest=sha256:3f70cf209a5e89363ba716891949a08a07e12cd368fd4c6cc078a48c3d0fbd83

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T10:11:08.494758Z digest=sha256:cee92bef3395db7d0b203563add0b9dfdedc8f14f58e794de0b4d3a44ac984fa

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T09:15:08.555551Z digest=sha256:16cc597de71d89a961aa137350f6aa3a51a5829e3faf8d7f50b49807e8e3161e

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T15:31:25.079191Z digest=sha256:491d7453f5e0eaaebd078f3da87c593438b1eb0c7a614b7f7b13bc64733ef10b

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T22:02:30.217607Z digest=sha256:6d1399d64e471046ac01312eda97a4fcc3cee400628e4672db83e138bae35bb0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T15:17:37.904831Z digest=sha256:0f5a079fb85600eca779706a475b07c16dcdd2230a7f6e1b826974059519fbca

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T15:00:57.851111Z digest=sha256:96a9f6f755ec9be542fdba1230aef705ccf178b278ccb1a8e67b412229c28078

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:d2fd88bcc141e089aadc3e750efd7fe600c2aa55b6d537344d1adf6871214b07