Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T17:47:09.291817Z
Paper Citation Record · LEDGER
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule
As of 20 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2603.28791.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
13 of 13 outbound references displayed
- verified exact2
- verified fuzzy0
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 39aad6db-c86c-4b93-a3b3-e54f03f05b4d · outbound
This paper cites Machine Learning in Aerodynamic Shape Optimization.
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule Machine Learning in Aerodynamic Shape Optimization
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T17:47:09.023766Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf5bdb0f-9c19-44d9-a52d-6a10b486bfd5 · outbound
This paper cites an unresolved cited work.
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule Unresolved cited work
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T17:47:09.263489Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e2c8245-573a-4d2a-82d4-ceafc31a3d64 · outbound
This paper cites Reconstruction of irregular flow dynamics around two square cylinders from sparse measurements using a data-driven algorithm.
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule Reconstruction of irregular flow dynamics around two square cylinders from sparse measurements using a data-driven algorithm
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T17:47:09.270426Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6131349-930b-427f-81a9-e52b0880b1f0 · outbound
This paper cites Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Reference 1845
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T17:47:09.277877Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 429e96a5-64c0-4aa8-b3a9-1b75242cc811 · outbound
This paper cites Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio.
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio
Reference 1979
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T17:47:09.284950Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20ac4100-aa40-4665-a130-287155623545 · outbound
This paper cites Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow.
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow
Reference 2003
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T17:47:08.363659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58f7384f-6b31-459a-96a8-a69add5c5366 · outbound
This paper cites an unresolved cited work.
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule Unresolved cited work
Reference 2010
- Resolution
- verified exact
- doi, observed 2026-08-02T17:48:31.334378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6f14a7d7-4e29-43c5-a9a1-6025b4e9ea56 · outbound
This paper cites Neural Operator: Learning Maps Between Function Spaces.
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule Neural Operator: Learning Maps Between Function Spaces
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T17:47:08.876587Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47f171c9-aa2f-471c-83c0-5c39f19811dc · outbound
This paper cites Machine Learning Methods for the Design and Operation of Liquid Rocket Engines -- Research Activities at the DLR Institute of Space Propulsion.
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule Machine Learning Methods for the Design and Operation of Liquid Rocket Engines -- Research Activities at the DLR Institute of Space Propulsion
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T17:47:09.291817Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bf06231-c4b5-4c97-8c03-4c8d5b73015b · outbound
This paper cites an unresolved cited work.
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule Unresolved cited work
Reference 2020
- Resolution
- verified exact
- doi, observed 2026-08-02T17:48:31.190330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d493239a-af33-4054-92c6-025fa0d0d109 · outbound
This paper cites Thomas Kipf and Max Welling.
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule Thomas Kipf and Max Welling
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T17:47:08.772509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e6cbf6d-e2c6-40e4-a456-005f5f3e878a · outbound
This paper cites Aerothermodynamic Simulators for Rocket Design using Neural Fields.
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule Aerothermodynamic Simulators for Rocket Design using Neural Fields
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T17:47:08.429160Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4dc40718-aa3b-4f67-b0cd-c23d05fb9608 · outbound
This paper cites Mathematical Foundations of Geometric Deep Learning.
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule Mathematical Foundations of Geometric Deep Learning
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T17:47:08.537271Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.