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Paper Citation Record · LEDGER

Scaling Personality Control in LLMs with Big Five Scaler Prompts

As of 7 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2508.06149.

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

pith.paper-citation-record.v1
2508.06149 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:00:13.866072Z

measured 6 of 6 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T13:04:14.886733Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:47:41.811684Z

Reference resolution

5 of 5 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 219631ab-7bd0-43a2-945f-4e817f301438 · outbound

This paper cites LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals.

Scaling Personality Control in LLMs with Big Five Scaler Prompts LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T23:00:13.637551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:00:13.637551Z digest=sha256:ee20bf6cc926e48965bad41b9fcd30a4aee8ad02bab7697c074490a1487d74d9

Observation b41a06f8-006a-496b-adf9-cfe37fbef6fa · outbound

This paper cites Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent.

Scaling Personality Control in LLMs with Big Five Scaler Prompts Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T23:00:13.866072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:00:13.866072Z digest=sha256:ab959e9bd4a3fb5d9a684cf38019cd97fde3f444cd3464750b5e69be24d18001

Observation 8a0655a7-b1a5-4ec2-851e-68e18c8f19a4 · outbound

This paper cites Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics.

Scaling Personality Control in LLMs with Big Five Scaler Prompts Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics

Reference 1991

Resolution
unresolved
no resolver link, observed 2026-08-05T23:00:13.591554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:00:13.591554Z digest=sha256:f8830fb477e9bdae092ec90748f511ac5c97aa1f0a9341e2d1b937c7decd8c25

Observation 6997fbca-3a35-4e10-8167-30526a833654 · outbound

This paper cites AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.

Scaling Personality Control in LLMs with Big Five Scaler Prompts AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T23:00:13.752400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:00:13.752400Z digest=sha256:2f084f496764241468bf2531a21c3ea291488eaa92a0917ae176e97a35bb13fb

Observation 58efb8f4-0063-46b1-8c6d-410610372eea · outbound

This paper cites Cohesive Conversations: Enhancing Authenticity in Multi-Agent Simulated Dialogues.

Scaling Personality Control in LLMs with Big Five Scaler Prompts Cohesive Conversations: Enhancing Authenticity in Multi-Agent Simulated Dialogues

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T23:00:14.094946Z

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=2026-08-05T23:00:13.490868Z digest=sha256:7b4f26a3fbe0ea8b2a70be542b1a5c75473e50eda28697925f59f000a6c4ddb5

Pith citing papers

Observation 40efd150-4b8a-41ca-a318-addd7ad93cbf · inbound

Modeling Complex Behaviors: Multi-Personality Composition and Dynamic Switching in Vision-Language Models cites this paper.

Modeling Complex Behaviors: Multi-Personality Composition and Dynamic Switching in Vision-Language Models Scaling Personality Control in LLMs with Big Five Scaler Prompts

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:47:41.813118Z

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=2026-06-27T13:04:14.886733Z digest=sha256:f8c925858489d003d5592b2d3a2906d55f6b40a24f1a8d3b4abe904fee284670