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Paper Citation Record · LEDGER

MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.21582.

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

pith.paper-citation-record.v1
2504.21582 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:50:43.045559Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:52:49.431667Z

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 8cf53596-189b-4ac0-85bc-a6d7f57ade69 · inbound

IntervenSim: Intervention-Aware Social Network Simulation for Opinion Dynamics cites this paper.

IntervenSim: Intervention-Aware Social Network Simulation for Opinion Dynamics MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:36:01.139018Z

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=2026-05-10T17:34:56.485882Z digest=sha256:3505e8fc75ae67e3afe9484edf7cd3d22b1232d9c0b0dfc5643340f5a2415c41

Observation 48aec1e0-5a87-438a-a6f9-f184cea9b915 · inbound

Stop Drawing Scientific Claims from LLM Social Simulations Without Robustness Audits cites this paper.

Stop Drawing Scientific Claims from LLM Social Simulations Without Robustness Audits MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:43:19.615340Z

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=2026-05-20T13:40:04.275438Z digest=sha256:eaa7d5d01765fc65288741aba67376756d45cdfc0609cbf24fe3a88fdbc3ab15

Observation 43b56e76-8da0-4045-83f3-e1424ae2adfc · inbound

EASE Configuration Facilitates A Reproducible Science of LLM Social Simulations cites this paper.

EASE Configuration Facilitates A Reproducible Science of LLM Social Simulations MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework

Reference 41

Resolution
malformed identifier
arxiv_id, observed 2026-06-28T23:52:49.433033Z

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=2026-06-28T23:50:43.045559Z digest=sha256:a81390064a0102c4c856c9a8e5bff9ca240ab38a2308827cc81fb4a7bf91820a