Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLM-Measure: Generating Valid, Consistent, and Reproducible Text-Based Measures for Social Science Research
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.12722.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T12:51:25.415439Z
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
0
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 f2436dc0-2419-4da4-a1ee-d7d938683cab · inbound
From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines cites this paper.
From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines LLM-Measure: Generating Valid, Consistent, and Reproducible Text-Based Measures for Social Science Research
Reference 126
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T17:31:07.480666Z
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 b31d8073-04c9-426d-b0a8-05aab211a824 · inbound
From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines cites this paper.
From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines LLM-Measure: Generating Valid, Consistent, and Reproducible Text-Based Measures for Social Science Research
Reference 126
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:03:37.091638Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2105b571-bde0-4704-9249-365619c3741f · inbound
From Research Questions to Columns: Operationalization-Aware Data Discovery cites this paper.
From Research Questions to Columns: Operationalization-Aware Data Discovery LLM-Measure: Generating Valid, Consistent, and Reproducible Text-Based Measures for Social Science Research
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:39:36.588104Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c0f9b73-00fa-4c89-bcec-0d234d7dc348 · inbound
Measuring Concept Content in Text from LLM Activations: ESG Evidence from Concept Vectors and Linear Probes cites this paper.
Measuring Concept Content in Text from LLM Activations: ESG Evidence from Concept Vectors and Linear Probes LLM-Measure: Generating Valid, Consistent, and Reproducible Text-Based Measures for Social Science Research
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T12:51:25.415439Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.