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Paper Citation Record · LEDGER

PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2305.02547.

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

pith.paper-citation-record.v1
2305.02547 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 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 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:42.330909Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

27
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c194e868-c9f3-4093-8071-9d0d15454cbe · inbound

RoleRAG: Enhancing LLM Role-Playing via Graph Guided Retrieval cites this paper.

RoleRAG: Enhancing LLM Role-Playing via Graph Guided Retrieval PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:42.330909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:42.330909Z digest=sha256:922f93f9800dd6857435437709f35cbe95d5cccb2e1856e2784a1cf26be153cc

Observation 38eb211a-98fd-4216-8587-6458df9c2301 · inbound

Exploring the Impact of Occupational Personas on Domain-Specific QA cites this paper.

Exploring the Impact of Occupational Personas on Domain-Specific QA PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 9

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no resolver link, observed 2026-08-07T12:35:19.581060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:19.581060Z digest=sha256:229df9af452b3ce2b56e061fa29396cbd4801dc379587845f5814e7083f85106

Observation 68706f09-23b2-4c33-afd0-0618b1c67ed0 · inbound

Localizing Persona Representations in LLMs cites this paper.

Localizing Persona Representations in LLMs PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 38

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no resolver link, observed 2026-08-07T12:25:32.543895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:25:32.543895Z digest=sha256:f479fbf28dcfc66eee9169ea80cc496445ed2a4516d8b338a3e5d71d3705cbb7

Observation 6bd1316c-8497-4a20-83be-c66d618ee3c4 · inbound

Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs cites this paper.

Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T12:06:24.785691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:06:24.785691Z digest=sha256:4946b69bb94c354b342cc4134f8b127746d0aa42ef009e12bb227535d7842daf

Observation e6d5659c-47d2-4074-b0ba-adde5cfdc031 · inbound

Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding cites this paper.

Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 30

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verified exact
arxiv_id, observed 2026-05-19T04:07:02.011436Z

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.

source=arxiv_source observed=2026-05-19T04:03:29.765482Z digest=sha256:e65d9c1651e094e6659c9c9f4be5ef319b6159a317af1b484a63c2d9a39b20e1

Observation b663de12-fa97-4e78-82f3-83f7733ed016 · inbound

Promoting Online Safety by Simulating Unsafe Conversations with LLMs cites this paper.

Promoting Online Safety by Simulating Unsafe Conversations with LLMs PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T11:55:32.765450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:55:32.765450Z digest=sha256:ac5fe6c8b9bc531d26aa8e3e123c3661cd75e4c52fb8525e734200cca18d3536

Observation a32cd413-0529-488e-b6dc-2728f8f1d010 · inbound

McKean-Vlasov SPDEs driven by Poisson random measure: Well-posedness and large deviation principle cites this paper.

McKean-Vlasov SPDEs driven by Poisson random measure: Well-posedness and large deviation principle PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 3

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unresolved
no resolver link, observed 2026-08-06T05:17:49.585580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:17:49.585580Z digest=sha256:97631065125d3fa6568f7dd92db33b4eda9d26cbd78e8570c184432b6ec04f3b

Observation a0caa6fc-0793-4084-bd80-de2e6404cced · inbound

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors cites this paper.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 4

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no resolver link, observed 2026-08-05T19:08:28.954754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:08:28.954754Z digest=sha256:7109f04aa35c65b5c127a86d879a912ae590615f93c64cd44299ab5f84100800

Observation 0e1ea0a6-5b70-4162-8b95-539a00dd71f9 · inbound

Effects of Personality- and Opinion-Alignment in Human-AI Interaction cites this paper.

Effects of Personality- and Opinion-Alignment in Human-AI Interaction PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T22:29:24.809393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:29:24.809393Z digest=sha256:231709c56614a7a489909b6155fa61e1551b8c6c64dbd324baf58af2d58899e4

Observation 2dde29cd-fef4-42f9-ad85-1acdbe270e52 · inbound

NetworkGames: Simulating Cooperation in Network Games with Personality-driven LLM Agents cites this paper.

NetworkGames: Simulating Cooperation in Network Games with Personality-driven LLM Agents PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T04:59:04.127582Z

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.

source=pdf_text observed=2026-05-17T04:55:27.824751Z digest=sha256:d9f8cc2bd5f2a18b427b5b6645aa8eff99e2a244e188b82d35b50f5963c9cf16

Observation b618f2f1-f68b-43e1-9fe6-9348e2676f1f · inbound

Beyond Fixed Psychological Personas: State Beats Trait, but Language Models are State-Blind cites this paper.

Beyond Fixed Psychological Personas: State Beats Trait, but Language Models are State-Blind PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T12:07:50.628797Z

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.

source=pdf_text observed=2026-05-16T12:05:28.383914Z digest=sha256:af6c03d50610ab9b9a7acf7b88d379ebf2beaffa28772bdd32d10e6fc66d7062

Observation 7a9cb3e2-b885-485f-a75f-8802e5db3bab · inbound

RESBev: Making BEV Perception More Robust cites this paper.

RESBev: Making BEV Perception More Robust PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 14

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unresolved
no resolver link, observed 2026-07-15T00:10:48.378080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T00:10:48.378080Z digest=sha256:20d8529c044bd9af2412b8d573288546cb08995b3ad7394516ebb469518a63c3

Observation f8eb7a29-f78b-4712-a46f-4b212a66be80 · inbound

How memory can affect collective and cooperative behaviors in an LLM-Based Social Particle Swarm cites this paper.

How memory can affect collective and cooperative behaviors in an LLM-Based Social Particle Swarm PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T16:22:27.851248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:22:27.851248Z digest=sha256:6e07dcf5fb3d83e68befd2e67845315374ea96ca4594d620fee24f294861a47a

Observation 5fc9bf65-2849-4da1-af5d-7b5a55ac4bcd · inbound

The Pragmatic Persona: Discovering LLM Persona through Bridging Inference cites this paper.

The Pragmatic Persona: Discovering LLM Persona through Bridging Inference PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 19

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metadata mismatch
arxiv_id, observed 2026-05-09T00:14:27.132210Z

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.

source=pdf_text observed=2026-05-08T04:05:13.050792Z digest=sha256:75dec73bb5224c329e6104a69f4899c5f6bf760b13f03801ef78a122f72433f3

Observation 5a1cb7f1-a246-43a1-baa3-d496c23171fa · inbound

Temporal and Content Coupling Analysis of Social Media User Behavior cites this paper.

Temporal and Content Coupling Analysis of Social Media User Behavior PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 6

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verified exact
arxiv_id, observed 2026-05-12T10:06:27.740211Z

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.

source=pdf_text observed=2026-05-07T08:00:20.110823Z digest=sha256:fd2dbdab2ed8ae257152e125ba039998005fa3c612d3aeb5f3973523a77c1476

Observation 8325d165-ac69-437e-8e9a-e67994603523 · inbound

Low Stage and High Order Explicit Runge--Kutta Methods via $Q$- and $D$-Conditions: Several Construction Details cites this paper.

Low Stage and High Order Explicit Runge--Kutta Methods via $Q$- and $D$-Conditions: Several Construction Details PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-12T16:41:19.101472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:41:19.101472Z digest=sha256:d64c5718abd42215e015f989cf4353ead120af85b283c7a9a69fad59198acb3c

Observation 535defc2-822b-4c96-869c-728646a1783e · inbound

Evaluation Drift in LLM Personality Induction: Are We Moving the Goalpost? cites this paper.

Evaluation Drift in LLM Personality Induction: Are We Moving the Goalpost? PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 9

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verified exact
arxiv_id, observed 2026-05-19T20:42:46.080236Z

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.

source=pdf_text observed=2026-05-19T20:42:00.983346Z digest=sha256:604b892bee78f478f3a587fe0ebe0797b9d06f6f818708bb994b94bed28060e4

Observation cc07d252-c8f0-472e-ab41-cbdf7f0aeddf · inbound

Rethinking Psychometric Evaluation of LLMs: When and Why Self-Reports Predict Behavior cites this paper.

Rethinking Psychometric Evaluation of LLMs: When and Why Self-Reports Predict Behavior PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 20

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arxiv_id, observed 2026-07-03T11:18:03.717179Z

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.

source=pdf_text observed=2026-06-27T09:36:36.821058Z digest=sha256:82b143973cc631f3d1231f1cb19962153a96387787ecb3ebe682c8922fa2cdf1

Observation 571bbbb1-a822-4d89-b408-6214685403c3 · inbound

A French OSCE Dialogue Dataset and Controllable Virtual Patient System for Clinical Training cites this paper.

A French OSCE Dialogue Dataset and Controllable Virtual Patient System for Clinical Training PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 80

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arxiv_id, observed 2026-06-30T01:34:09.579023Z

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.

source=arxiv_source observed=2026-06-30T01:29:19.877774Z digest=sha256:1b9579b0e61c0e263f58b4fb072db66541f7e474b5536d92154314f79acd1400

Observation d214daf6-193e-45ee-bd2d-3fc54b894587 · inbound

Mechanistic Personality Analysis of LLMs Steering Personality via Latent Feature Interventions cites this paper.

Mechanistic Personality Analysis of LLMs Steering Personality via Latent Feature Interventions PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 9

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arxiv_id, observed 2026-06-30T12:54:40.581126Z

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.

source=pdf_text observed=2026-06-30T09:45:20.248396Z digest=sha256:de643251be72f296f147889a635dad34d12c8d0967d3ab03da5aae55617f7168

Observation 8da8f254-88d6-4aa5-86ef-0594256bed3c · inbound

Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins cites this paper.

Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 62

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no resolver link, observed 2026-08-02T07:44:09.562388Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:44:09.562388Z digest=sha256:0171bf479f9b635eaaeed0f86dab0f7b83690f6019e8dcabadae17dba8b35625

Observation f40339a0-5ea9-40ac-afa8-e54c6f8fd3e1 · inbound

More Is Not More: What Matters for Diversity in LLM Opinions? cites this paper.

More Is Not More: What Matters for Diversity in LLM Opinions? PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 27

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no resolver link, observed 2026-08-02T14:33:33.259402Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:33:33.259402Z digest=sha256:cd09743fc36c20efffff9a9b0765a80f20f4ff7a486dd95f21119a329bb862d2