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Paper Citation Record · LEDGER

Demonstrations of the Potential of AI-based Political Issue Polling

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.04781.

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

pith.paper-citation-record.v1
2307.04781 v2

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 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:35:31.426645Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:28:48.484028Z

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 71dab5d3-7fdd-4ce3-a19f-91b8acdcc088 · inbound

Political-LLM: Large Language Models in Political Science cites this paper.

Political-LLM: Large Language Models in Political Science Demonstrations of the Potential of AI-based Political Issue Polling

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-11T19:52:04.105702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:04.105702Z digest=sha256:3ef457ec871b6eb7d68ff8eea9411c6e0bafb050b771b1a8c929ce9496902855

Observation 8163e9c4-448c-4f14-8e0c-91bb64d66a0d · inbound

Card Sorting Simulator: Augmenting Design of Logical Information Architectures with Large Language Models cites this paper.

Card Sorting Simulator: Augmenting Design of Logical Information Architectures with Large Language Models Demonstrations of the Potential of AI-based Political Issue Polling

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T21:35:31.426645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:35:31.426645Z digest=sha256:3ae02aab1b9b80cffa9b47201edeb49786bb051eb69e189e39c1ebae5bc1c67f

Observation 82b7e100-383f-4769-8ef3-06a0c2a093b3 · inbound

LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra cites this paper.

LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra Demonstrations of the Potential of AI-based Political Issue Polling

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:28:48.610678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:28:46.581020Z digest=sha256:4bfa43ada40f464b741f1999c176384b9c865b345e79e6fc33189d9ed9ac63f5