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Paper Citation Record · LEDGER

Dynamic Generation of Personalities with Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.07084.

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

pith.paper-citation-record.v1
2404.07084 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:49:27.814535Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T06:37:07.597407Z

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 afdcb31c-925d-4b93-b6bb-dd8694e384d6 · inbound

Exploring the Potential of Large Language Models to Simulate Personality cites this paper.

Exploring the Potential of Large Language Models to Simulate Personality Dynamic Generation of Personalities with Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T05:49:27.814535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:49:27.814535Z digest=sha256:8e56030631306d4199c1f1ac4cbbc0da9cf6d8960ea58e0cf64de592911eff96

Observation b15792fa-0e62-47d9-97ef-e767deedf2a6 · inbound

Exploring a Gamified Personality Assessment Method through Interaction with LLM Agents Embodying Different Personalities cites this paper.

Exploring a Gamified Personality Assessment Method through Interaction with LLM Agents Embodying Different Personalities Dynamic Generation of Personalities with Large Language Models

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:37:07.599968Z

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=2026-05-19T06:35:06.890058Z digest=sha256:381777a1250544a44cb02e1cb46d2d7638db90c8f47514ddd9865bb2ec6bcdf9