Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Ludwig: a type-based declarative deep learning toolbox
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1909.07930.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:51:51.277706Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T20:43:14.815081Z
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 5047be2f-37f7-4070-918e-1e6052aea99f · inbound
Interpretable by Design: MH-AutoML for Transparent and Efficient Android Malware Detection without Compromising Performance cites this paper.
Interpretable by Design: MH-AutoML for Transparent and Efficient Android Malware Detection without Compromising Performance Ludwig: a type-based declarative deep learning toolbox
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:51:51.277706Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9aa22292-dbbd-4502-91fc-1a41654f9947 · inbound
Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases cites this paper.
Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases Ludwig: a type-based declarative deep learning toolbox
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:53:08.415060Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56b980dc-72e1-405e-826b-a621f833a469 · inbound
PR3DICTR: A modular AI framework for medical 3D image-based detection and outcome prediction cites this paper.
PR3DICTR: A modular AI framework for medical 3D image-based detection and outcome prediction Ludwig: a type-based declarative deep learning toolbox
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:43:14.816457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.