Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.00326.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T12:13:42.697090Z
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
23
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 86474204-12c8-48e2-9125-bbfab0fe76e6 · inbound
Deep Learning Alternatives of the Kolmogorov Superposition Theorem cites this paper.
Deep Learning Alternatives of the Kolmogorov Superposition Theorem PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T19:58:23.525197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b2c7e2dc-73c8-44ca-8e82-8b7df54429b7 · inbound
Physics-informed neural networks for solving moving interface flow problems using the level set approach cites this paper.
Physics-informed neural networks for solving moving interface flow problems using the level set approach PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T12:13:42.697090Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce3e03ee-ffbe-4240-8054-d5d17d1a61e7 · inbound
Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling cites this paper.
Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:25:20.668358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fcaca961-0a17-484f-a79c-718691a612c0 · inbound
Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement cites this paper.
Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:41:36.081705Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9831988e-965f-4c0f-99dc-77d0be6fe6d8 · inbound
ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms cites this paper.
ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T01:58:51.590401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 11705fce-ad2f-4152-8cfb-2596e1871686 · inbound
ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms cites this paper.
ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:51:34.232505Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e87926e-3f41-48cc-b10b-b32467104e30 · inbound
Physics informed operator learning of parameter dependent spectra cites this paper.
Physics informed operator learning of parameter dependent spectra PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:26:14.548301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 808dde46-1c93-4dae-b935-f4d3fed7e4a1 · inbound
Uncovering Turbulent Dynamics in Stenotic Flows from 4D-flow MRI Measurements via Resolvent Analysis and Data Assimilation cites this paper.
Uncovering Turbulent Dynamics in Stenotic Flows from 4D-flow MRI Measurements via Resolvent Analysis and Data Assimilation PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
Reference 127
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T08:01:46.042576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a596ad40-c3ed-439b-bcc0-c9cfba11cc75 · inbound
Trainable Spline Representations for Physics-Informed Learning cites this paper.
Trainable Spline Representations for Physics-Informed Learning PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:28:09.956404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.