Paper Citation Record · LEDGER

Towards Simulating Social Influence Dynamics with LLM-based Multi-agents

As of 18 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 1 inbound Pith citation observation for arXiv:2507.22467.

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

pith.paper-citation-record.v1
2507.22467 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:42:50.729409Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T17:33:34.823147Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:38:43.428078Z

Reference resolution

3 of 3 outbound references displayed

verified exact0
verified fuzzy0
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a533a73-fdd5-4594-a8f0-43ef9843f92d · outbound

This paper cites Quantifying the Impact of Large Language Models on Collective Opinion Dynamics.

Towards Simulating Social Influence Dynamics with LLM-based Multi-agents Quantifying the Impact of Large Language Models on Collective Opinion Dynamics

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T11:42:50.672965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46146898-1852-49aa-b3c9-e726bdaf7047 · outbound

This paper cites Large Language Models Can Infer Psychological Dispositions of Social Media Users.

Towards Simulating Social Influence Dynamics with LLM-based Multi-agents Large Language Models Can Infer Psychological Dispositions of Social Media Users

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T11:42:50.936881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 078315e6-3e3a-46b1-851e-2f7e15c1e07e · outbound

This paper cites Do as We Do, Not as You Think: the Conformity of Large Language Models.

Towards Simulating Social Influence Dynamics with LLM-based Multi-agents Do as We Do, Not as You Think: the Conformity of Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T11:42:50.729409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b503b6ef-4b01-408f-a878-b6592180cd6d · inbound

BOUNDARY_SYNC: Measuring Communication-Induced Representational Coupling in Multi-Agent LLM Systems cites this paper.

BOUNDARY_SYNC: Measuring Communication-Induced Representational Coupling in Multi-Agent LLM Systems Towards Simulating Social Influence Dynamics with LLM-based Multi-agents

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:38:43.429639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.