Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.14379.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T12:05:57.467008Z
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
9
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 aafc0a35-5e61-485e-bd14-9e43f3dcc26d · inbound
NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach cites this paper.
NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T12:05:57.467008Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d51aa29-d65f-4b58-879f-aceb71a39baf · inbound
Are Large Language Models the future crowd workers of Linguistics? cites this paper.
Are Large Language Models the future crowd workers of Linguistics? Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T18:47:07.106548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8c12804-8d6d-4be6-bfbd-e483060bf821 · 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 Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence
Reference 127
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T17:31:07.456176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 062f9209-01cc-4fdb-98bc-84fa0c563872 · 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 Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence
Reference 127
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:03:37.224850Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.