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Paper Citation Record · LEDGER

Large Language Model-driven Multi-Agent Simulation for News Diffusion Under Different Network Structures

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.13909.

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

pith.paper-citation-record.v1
2410.13909 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:18:34.385441Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
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 8224aa68-19cf-4657-ae39-eca4355560cc · inbound

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents cites this paper.

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents Large Language Model-driven Multi-Agent Simulation for News Diffusion Under Different Network Structures

Reference 261

Resolution
unresolved
no resolver link, observed 2026-08-11T22:18:34.385441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:18:34.385441Z digest=sha256:ded7e436b975b0be3704bba11304365eb02a2fb97fba6142f122e799e1b410c7

Observation fb4cb1f1-371f-4c0c-87a6-1613d8480ffb · inbound

The $\textit{Silicon Society}$ Cookbook: Design Space of LLM-based Social Simulations cites this paper.

The $\textit{Silicon Society}$ Cookbook: Design Space of LLM-based Social Simulations Large Language Model-driven Multi-Agent Simulation for News Diffusion Under Different Network Structures

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:31:16.405967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T19:46:29.785578Z digest=sha256:affda1b061289f614a274486cf9c145ac06b64a430e63778a5d6f390e92a5ba5

Observation c8b0fa07-b819-42d4-975b-e30cf8c86bd7 · inbound

Mechanism Plausibility in Generative Agent-Based Modeling cites this paper.

Mechanism Plausibility in Generative Agent-Based Modeling Large Language Model-driven Multi-Agent Simulation for News Diffusion Under Different Network Structures

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:27:50.774557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T19:24:53.816091Z digest=sha256:97cd2187ded0145d2143fdd85958b350fdad5c01c47eccc8367c1aa69eb16326

Observation 371f3c73-589b-4052-84bb-054a62bb762f · inbound

Mechanism Plausibility in Generative Agent-Based Modeling cites this paper.

Mechanism Plausibility in Generative Agent-Based Modeling Large Language Model-driven Multi-Agent Simulation for News Diffusion Under Different Network Structures

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:53:43.394410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-20T20:51:54.829821Z digest=sha256:084c868723bb57cb257bd931abd1113a2c281a8f60d3f3178875cda8bcd2daa2