Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.07142.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:14:47.598328Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:14:50.485281Z
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 03f8d95b-bb29-4b23-9476-6a7cc87ef185 · inbound
Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering cites this paper.
Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification
Reference 2023
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:14:50.529156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bdf2939a-69ab-4c46-b723-bf2ae62b4954 · inbound
SycoEval-EM: Sycophancy Evaluation of Large Language Models in Simulated Clinical Encounters for Emergency Care cites this paper.
SycoEval-EM: Sycophancy Evaluation of Large Language Models in Simulated Clinical Encounters for Emergency Care Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:39:29.395460Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.