Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.17029.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:21:35.081395Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T12:48:11.369847Z
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 6996dd38-313c-4c2f-ac37-c9659dd74e69 · inbound
Model-independent calibration of Gamma-Ray Bursts with neural networks cites this paper.
Model-independent calibration of Gamma-Ray Bursts with neural networks LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T17:55:44.408128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 68226099-ecca-4cc1-b9d6-0232ecec3f93 · inbound
Learning from galactic rotation curves: a neural network approach cites this paper.
Learning from galactic rotation curves: a neural network approach LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:21:35.081395Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6841a9c2-f715-4391-bc9b-2f3bf6d43b5d · inbound
Deep Learning Based Recalibration of SDSS and DESI BAO Alleviates Hubble and Clustering Tensions cites this paper.
Deep Learning Based Recalibration of SDSS and DESI BAO Alleviates Hubble and Clustering Tensions LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:00:11.936782Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee77cae5-b806-41e8-b9e0-cedc17b7024c · inbound
Testing $\Lambda$CDM with ANN-Reconstructed Expansion History from Cosmic Chronometers cites this paper.
Testing $\Lambda$CDM with ANN-Reconstructed Expansion History from Cosmic Chronometers LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:11:11.415050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8f416a90-1702-496f-ab11-d4eb7e653f11 · inbound
Deep Learning Calibration of the Quasar X-ray/UV Luminosity Relation for Cosmological Applications cites this paper.
Deep Learning Calibration of the Quasar X-ray/UV Luminosity Relation for Cosmological Applications LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T12:48:11.371118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.