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Paper Citation Record · LEDGER

CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.11501.

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

pith.paper-citation-record.v1
2310.11501 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:15:37.174356Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-05T10:50:57.604324Z

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 1ad7019b-02c6-4a27-a685-a06ab959f55b · inbound

Generative Exaggeration in LLM Social Agents: Consistency, Bias, and Toxicity cites this paper.

Generative Exaggeration in LLM Social Agents: Consistency, Bias, and Toxicity CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T21:15:37.174356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:15:37.174356Z digest=sha256:e977c444606801c70d40902fdc421556fc2d4642c7869a2642e9add7c8fe0240

Observation 2ee7791c-2ccf-4f0a-bd23-a4aa27035767 · inbound

Disentangling Interaction and Bias Effects in Opinion Dynamics of Large Language Models cites this paper.

Disentangling Interaction and Bias Effects in Opinion Dynamics of Large Language Models CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:45:29.710020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T07:42:03.704563Z digest=sha256:de0c75d76ee7874fe9a6383460c4ff3d0ab2873ca50505885c92287ec4e2b179

Observation a0cee5f0-5c18-4752-8933-a643dedd768b · inbound

Informing AI Policy Assessment using Large-Scale Simulation of Interventions cites this paper.

Informing AI Policy Assessment using Large-Scale Simulation of Interventions CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-07-05T10:50:57.606660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-05T10:47:56.432522Z digest=sha256:7f94bea6ef1b524471f9926041d8a9967f05f4dddd164e6b2fd3090336ccf3b2

Observation 0415a462-1e02-421c-83f3-acf5e08853b1 · inbound

Informing AI Policy Assessment using Large-Scale Simulation of Interventions cites this paper.

Informing AI Policy Assessment using Large-Scale Simulation of Interventions CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-12T18:57:04.042048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T18:57:04.042048Z digest=sha256:49c3aaa191ccdfe5762084b2b21d4faa0d2ad1eb6643d34d3bf8249bd062557b

Observation a894d690-e62b-4d6d-ba27-273f0f822633 · inbound

Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication cites this paper.

Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:05:00.271651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T19:04:36.443335Z digest=sha256:fcaddbe9ba4dfead3b452a69fbc1f3d7a310ecece2967accd8f8eee5b94e12da