Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2306.08827.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:16:55.219509Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T05:36:40.346783Z
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 bf51f58b-7ba0-4b59-8c50-0bd62445300f · inbound
Bayesian Reasoning for Physics Informed Neural Networks cites this paper.
Bayesian Reasoning for Physics Informed Neural Networks PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T08:06:03.912121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 578997db-9a6a-4dd0-92d4-fcb84cd47d8c · inbound
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning cites this paper.
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:16:55.219509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab36142b-d56f-4140-83cd-cc222e6f07c9 · inbound
jinns: a JAX Library for Physics-Informed Neural Networks cites this paper.
jinns: a JAX Library for Physics-Informed Neural Networks PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:34.537720Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f0e5c0b-3bab-4427-8cbc-8767284fd2b9 · inbound
Physics-Informed Neural Networks for Solving the Two-Dimensional Shallow Water Equations with Terrain Topography and Rainfall Source Terms cites this paper.
Physics-Informed Neural Networks for Solving the Two-Dimensional Shallow Water Equations with Terrain Topography and Rainfall Source Terms PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:25:49.237013Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation acbc53da-3adc-4a0f-80eb-4ec11bd0adce · inbound
PINNsAgent: Automated PDE Surrogation with Large Language Models cites this paper.
PINNsAgent: Automated PDE Surrogation with Large Language Models PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:38:24.167005Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62378c6c-e8ce-4dca-98a2-f23378caf7f1 · inbound
PDE-DKL: PDE-constrained deep kernel learning in high dimensionality cites this paper.
PDE-DKL: PDE-constrained deep kernel learning in high dimensionality PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T00:14:36.531997Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcd101a7-9f0d-4c9a-87b1-e1c47c908cb3 · inbound
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning cites this paper.
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:19:39.908863Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3f0ced4-e1a7-42a6-9117-7f268d899003 · inbound
VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models cites this paper.
VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:31:11.840000Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b9cbb66-028d-4b49-9d01-759849e377e1 · inbound
BWLer: Barycentric Weight Layer Elucidates a Precision-Conditioning Tradeoff for PINNs cites this paper.
BWLer: Barycentric Weight Layer Elucidates a Precision-Conditioning Tradeoff for PINNs PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:01:49.411540Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 663e9a92-cc7a-4f86-8c13-777371e81736 · inbound
The Neural Compiler: Program-to-Network Translation for Hybrid Scientific Machine Learning cites this paper.
The Neural Compiler: Program-to-Network Translation for Hybrid Scientific Machine Learning PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T08:04:42.971733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 27ed3bcc-2b4e-4ff0-a7e6-39e9e909b766 · inbound
Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence cites this paper.
Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T21:56:15.373184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 363ee441-0fe2-4772-84cf-112e0df6475a · inbound
TransportBench: A Comprehensive Benchmark for Non-Equilibrium Flow Transport cites this paper.
TransportBench: A Comprehensive Benchmark for Non-Equilibrium Flow Transport PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T05:36:40.348544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8da8ae44-98c6-44e7-8a69-7a232a1f9879 · inbound
Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations cites this paper.
Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Reference 100
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:56:19.420787Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.