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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T04:03:00.340349Z digest=sha256:8ac74ae4383d5a62c4e553d21cbc0720d891b325d43123f034b0e8f69e7bd4ef

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T06:58:54.921355Z digest=sha256:0db041d384aa856dbf8fb416efb6f177dc6591f932aad9af426fba2779d0f003

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=sha256:304f3eff0d644588aecf4325e9d11489c79f6813a7c7abcc5bc2450e7ff0fb23

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T14:54:14.909995Z digest=sha256:3e1b0a64e6e327535c8fd2f76bd8ea8d446b67310ddf29386e8340427ef92508

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:e1bdbd3fddd99ced0a8626105ae8bf61aaf08390772a504396002d4ee66f55f7

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:eac232c957e560e791de8d138266b545ccce64d7078ec84e3292ab0d4eeeb6d9