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Paper Citation Record · LEDGER

Are Large Language Models (LLMs) Good Social Predictors?

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2402.12620.

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

pith.paper-citation-record.v1
2402.12620 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T07:10:49.774832Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:12:41.406852Z

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 e2c19ae2-2304-417e-925a-1c9f0d32a634 · inbound

Large Language Models for Market Research: A Data-augmentation Approach cites this paper.

Large Language Models for Market Research: A Data-augmentation Approach Are Large Language Models (LLMs) Good Social Predictors?

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:12:41.409514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T07:10:49.774832Z digest=sha256:d74be006a28a358febcf151186942aa7847894d11b58ceb1df44f69160c2debb