Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Learning the Physics of Transport Phenomena
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1709.02432.
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 2026-08-14T15:50:09.877810Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T20:31:32.125597Z
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 fbc370f4-f7c9-44df-a23e-e068520e4d08 · inbound
Physical machine learning outperforms "human learning" in Quantum Chemistry cites this paper.
Physical machine learning outperforms "human learning" in Quantum Chemistry Deep Learning the Physics of Transport Phenomena
Reference 2015
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:50:09.877810Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a833cb1-e40f-43fc-9a06-6f05d4449816 · inbound
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network cites this paper.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Deep Learning the Physics of Transport Phenomena
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:12:33.100841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ff43298-d31a-4fd4-b82e-4d4cb810f400 · inbound
DiffTopo: Solver in the Loop for Inverse Topography via Condition Diffusion Generation cites this paper.
DiffTopo: Solver in the Loop for Inverse Topography via Condition Diffusion Generation Deep Learning the Physics of Transport Phenomena
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T20:31:32.183255Z
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.