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Paper Citation Record · LEDGER

Quantifying the Impact of Large Language Models on Collective Opinion Dynamics

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.03313.

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

pith.paper-citation-record.v1
2308.03313 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:42:50.672965Z

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

4
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 5ef933c9-6a8d-4048-99e2-b757e1764e3b · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents Quantifying the Impact of Large Language Models on Collective Opinion Dynamics

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:03:01.520423Z

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=2026-05-15T04:03:00.340349Z digest=sha256:e861d43fb4bb71c2ed44f512d107f304abad074b311e435aa259acc23826ace9

Observation 4574e0fe-c5de-47c7-9a85-d1549791cb41 · inbound

Large Language Model based Multi-Agents: A Survey of Progress and Challenges cites this paper.

Large Language Model based Multi-Agents: A Survey of Progress and Challenges Quantifying the Impact of Large Language Models on Collective Opinion Dynamics

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:58:55.583842Z

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=2026-05-12T06:58:54.921355Z digest=sha256:2af33a435484d7d2334f5dcaa3f6d4d89af31f9b9a486303d0759af2812e2c7d

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

Towards Simulating Social Influence Dynamics with LLM-based Multi-agents cites this paper.

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.

source=pdf_text observed=2026-08-06T11:42:50.672965Z digest=sha256:aff1d8fecc55d8fff9be0d5baba2af975250b1db849a8ec06a003582757a4b6f

Observation cd78d854-7d03-4e99-a157-6784130c3aa2 · inbound

AI as a Tool for Simulation-Based Experiments in Literary Studies cites this paper.

AI as a Tool for Simulation-Based Experiments in Literary Studies Quantifying the Impact of Large Language Models on Collective Opinion Dynamics

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-28T15:02:19.066893Z

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=arxiv_source observed=2026-06-28T14:54:14.909995Z digest=sha256:c3fe694c02ffd289b4ed0fd9924d4c1d485573957191dbc98ee4cfbc016222b4

Observation 5fb9930f-391c-4229-ac56-d6d3a2bc9867 · inbound

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex cites this paper.

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex Quantifying the Impact of Large Language Models on Collective Opinion Dynamics

Reference 212

Resolution
unresolved
no resolver link, observed 2026-07-31T23:52:08.114228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:52:08.114228Z digest=sha256:edf9fdf5e7803c098076ccfda4df0ef022aa33bbf74b4ecf04653c5a95c1af04

Observation 3128d133-6594-4444-8594-fc67f03dff6f · inbound

Eco3S: Complex Socio-Economic System Simulation via Agent-Based Models cites this paper.

Eco3S: Complex Socio-Economic System Simulation via Agent-Based Models Quantifying the Impact of Large Language Models on Collective Opinion Dynamics

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T12:49:25.554754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:49:25.554754Z digest=sha256:ce52c1813284aa53ecff4c7504b570f6264979bed8606a3813ba565164c69544