Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Parameterized Physics-informed Neural Networks for Parameterized PDEs
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2408.09446.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:13.463464Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T10:19:47.513522Z
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 748c06c0-172e-46ac-9c83-60ac447e2e14 · inbound
Governing Equation Discovery from Data Based on Differential Invariants cites this paper.
Governing Equation Discovery from Data Based on Differential Invariants Parameterized Physics-informed Neural Networks for Parameterized PDEs
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:32:13.463464Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12fbf2f9-f213-4839-8294-635e852c07ac · inbound
Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition cites this paper.
Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Parameterized Physics-informed Neural Networks for Parameterized PDEs
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:57:32.643245Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b629d586-97b5-48e1-97a0-ce220018ac1e · inbound
IP-Basis PINNs: Efficient Multi-Query Inverse Parameter Estimation cites this paper.
IP-Basis PINNs: Efficient Multi-Query Inverse Parameter Estimation Parameterized Physics-informed Neural Networks for Parameterized PDEs
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:39:13.577159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0531f101-fe11-47d9-8e27-7d68346c5370 · inbound
Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs cites this paper.
Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs Parameterized Physics-informed Neural Networks for Parameterized PDEs
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T11:40:03.390695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5618f5d0-ddfb-4d9c-b11e-5a8889ff41e7 · inbound
Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs cites this paper.
Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs Parameterized Physics-informed Neural Networks for Parameterized PDEs
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T18:19:41.877176Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 052eeffe-f67e-4458-916b-931586afbf20 · inbound
Material-agnostic temperature field prediction for metal additive manufacturing via a parametric PINN framework cites this paper.
Material-agnostic temperature field prediction for metal additive manufacturing via a parametric PINN framework Parameterized Physics-informed Neural Networks for Parameterized PDEs
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T12:15:21.980743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 85a73bdc-fed7-4dca-b692-6a3426f257bb · inbound
Material-agnostic temperature field prediction for metal additive manufacturing via a parametric PINN framework cites this paper.
Material-agnostic temperature field prediction for metal additive manufacturing via a parametric PINN framework Parameterized Physics-informed Neural Networks for Parameterized PDEs
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T16:18:51.872232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b04344e9-8200-4170-8091-3502c26ff1f6 · inbound
Adaptive Hard-Soft Physics-Informed Neural Networks for Robust Boundary-Constrained PDE Solving cites this paper.
Adaptive Hard-Soft Physics-Informed Neural Networks for Robust Boundary-Constrained PDE Solving Parameterized Physics-informed Neural Networks for Parameterized PDEs
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T10:19:47.515041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 399c14a0-5e5e-400e-8367-578615024280 · inbound
Performance of Krotov, PRONTO and PINN for optimal control of quantum gates cites this paper.
Performance of Krotov, PRONTO and PINN for optimal control of quantum gates Parameterized Physics-informed Neural Networks for Parameterized PDEs
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:55:43.809556Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.