Paper Citation Record · LEDGER

Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2306.04746.

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

pith.paper-citation-record.v1
2306.04746 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:29:53.488279Z

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

24
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 4b807422-80a5-4570-b972-17294572df8c · inbound

A Moment-Based Generalization to Post-Prediction Inference cites this paper.

A Moment-Based Generalization to Post-Prediction Inference Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T18:11:26.168855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81ca8f01-5b62-445c-a784-048a3717e3af · inbound

In-Context Learning for the Imputation of Public Opinion Data with Large Language Models cites this paper.

In-Context Learning for the Imputation of Public Opinion Data with Large Language Models Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-27T16:31:02.051090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation de9c3f9e-b22a-44d8-a80d-e7123bedc8ff · inbound

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models cites this paper.

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T23:43:07.917540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5b48954-b197-4a41-b43b-8dde7fc49e76 · inbound

Design-Based Prediction-Powered Inference for Spatial Data cites this paper.

Design-Based Prediction-Powered Inference for Spatial Data Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T14:29:53.488279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.