Pith. sign in

Paper Citation Record · LEDGER

Character-LLM: A Trainable Agent for Role-Playing

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 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 21 of 21 standing notices

One-hop event checks from named stored sources.

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

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:03:32.191441Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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 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

Resolution
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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-16T14:37:53.279275Z digest=sha256:8bb454f292f425cf337d6e6fd58ee23b477d2a8955866f439070bb88f0d7c04c

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:e36a6da71f62cb44ed4289672efc73eba59881566cf97eebd09c3c5043958b1e

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T11:05:09.588491Z digest=sha256:59825f90f8d71523338d1a7136310350866d34fa798af4e3b1c491c1731086f5

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T08:26:12.441869Z digest=sha256:274ee86b08cd9788183c40a2f2bc16d572025f609bb136f1ac9c6b38660a1c83

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T13:03:50.876235Z digest=sha256:c36b3931f4cdb218f95098b5c9ea6d2186217b18407679f6ad98e143c234c8c3

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T23:15:47.967612Z digest=sha256:a4c483b7907df3866b7d4f2b36dd0d24486b7e11c879a075111d8b3af0c01605

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T21:09:22.986406Z digest=sha256:33b8362a5f050a89934d061cd3cfe7704bad941d080e71a4aecc6ff15487ef85

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T14:34:07.385406Z digest=sha256:398acffa68c8c8a859b662a956d8729fdc35cfab7eeaac2f696f2bc1a0633dd5

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:d669f265057eaef2e90c4ff93425933cdb2f5857646bffc9546dd76843583305

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T19:53:10.939745Z digest=sha256:33c85a9f4b7a1c47c34def0f407553f4b64d5d6cb18eb6d8816a11e5845c8384

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T14:22:25.660785Z digest=sha256:fa12a26c051ce5f0d51c7d926eddd82611f5ab71ca2f3ef10a8e19aab51edfd2

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T07:11:08.638615Z digest=sha256:2baec3b87e6fea326f85dde9953fb0027884b9c420d05109f95a01ac4cdc8a9b

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T17:40:44.074956Z digest=sha256:057485eeaf13d713af8c0ce0e1a6e30e1b2f5219a7cab91324757f604999cfd5

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T23:51:49.677777Z digest=sha256:15e298eedcdddfc19690b15ce36a9db3adebbb52e044870b394ebcaf2dd00425

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T10:11:08.494758Z digest=sha256:9124f3b480300329827087a6ef8db870048ada20644c71b14126494cbf4eddaa

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T09:15:08.555551Z digest=sha256:4244b9eb7d6ebf17696399b674354d7ce2ecde3cdedfe61de068fed8d6a239a6

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T15:31:25.079191Z digest=sha256:3ba614d24b72280672226883f1946d12b4cc3c2e5553f1f56c7a7efd87693cb3

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T22:02:30.217607Z digest=sha256:6fff2bb9c4d4a2bbee8cf536c89f1006302db64a7d957facc30cae09a1f3cad8

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T15:17:37.904831Z digest=sha256:e126e516360d189f52fd640186b8067efe8e2ff6fa3682ecaf8b7c5989fab6e1

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T15:00:57.851111Z digest=sha256:2f3790a48292f193beadf8ceb29908edf2fefa7e453c67beae5169ddd5b61cb9

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=sha256:69346335d08a7a47a2c93a2955a7e1b186eb1631770c6016c5043ee47ce178ea