Paper Citation Record · LEDGER

Empirical Prompt Engineering for Construct Identification with Large Language Models

As of 8 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2512.03818.

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

pith.paper-citation-record.v1
2512.03818 v3

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:45:13.288751Z

measured 4 of 4 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

4 of 4 outbound references displayed

verified exact0
verified fuzzy0
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b60d7df-cc63-464a-9921-96e92f3b6f42 · outbound

This paper cites PaLM 2 Technical Report.

Empirical Prompt Engineering for Construct Identification with Large Language Models PaLM 2 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T18:45:12.925557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad915098-0fab-4e8a-8306-b613c7a17b16 · outbound

This paper cites GPT is an effective tool for multilingual psychological text analysis.

Empirical Prompt Engineering for Construct Identification with Large Language Models GPT is an effective tool for multilingual psychological text analysis

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T18:45:13.023158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64079b29-d23b-4b63-ac28-5f9ede626658 · outbound

This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.

Empirical Prompt Engineering for Construct Identification with Large Language Models A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T18:45:13.288751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 996f9512-b58b-4bab-ba0b-fcf4698fd1ca · outbound

This paper cites Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm.

Empirical Prompt Engineering for Construct Identification with Large Language Models Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-03T18:45:13.129156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.