Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:27:20.007743Z
Paper Citation Record · LEDGER
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems
As of 21 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2501.14107.
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 2026-08-21T06:32:19.484+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
22 of 22 outbound references displayed
- verified exact2
- verified fuzzy12
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1938c40f-f5d0-410e-9253-fb2905a2c129 · outbound
This paper cites an unresolved cited work.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Unresolved cited work
Reference 1
- Resolution
- verified exact
- doi, observed 2026-08-10T15:27:20.053170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 26d457f6-62e3-44c7-92e7-397a5f10ea15 · outbound
This paper cites an unresolved cited work.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T15:27:20.315595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9a2219cc-238a-4755-b02e-2a514f66e5bd · outbound
This paper cites Accelerating bayesian inference over nonlinear differential equations with gaussian processes.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Accelerating bayesian inference over nonlinear differential equations with gaussian processes
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:27:20.305470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 435aa64a-4fbf-4147-b7f4-45a9376264ec · outbound
This paper cites Ode parameter inference using adaptive gradient matching with gaussian processes.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Ode parameter inference using adaptive gradient matching with gaussian processes
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:27:20.295636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9798744f-2da1-43bd-9491-e957cbb55f45 · outbound
This paper cites FitzHugh.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems FitzHugh
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:27:20.285951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2b81557c-77b1-435b-a8a1-2cf8acd92745 · outbound
This paper cites Osborne, and Mark Girolami.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Osborne, and Mark Girolami
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:27:20.275137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 84e0a346-99e5-445a-b097-56a1ce14e7c1 · outbound
This paper cites Hirata, S.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Hirata, S
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:27:20.266257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8ef35189-67b1-4885-9f27-fd70def6def3 · outbound
This paper cites Bayesian calibration of computer models.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Bayesian calibration of computer models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:27:19.963384Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39f6145b-01b2-41fc-a6f3-51c7a6b1bc39 · outbound
This paper cites Lapidus and J.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Lapidus and J
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:27:20.251795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5c1d7cb4-8a3b-4a0f-bdf8-603ceb044ade · outbound
This paper cites Parameter inference based on gaussian processes informed by nonlinear partial differential equations.SIAM/ASA Journal on Uncertainty Quan- tification, 12(3):964–1004, 2024.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Parameter inference based on gaussian processes informed by nonlinear partial differential equations.SIAM/ASA Journal on Uncertainty Quan- tification, 12(3):964–1004, 2024
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:27:20.243390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation be290ea0-89ef-4dac-857f-6724322bdfa6 · outbound
This paper cites Fourier neural operator for parametric partial differential equations.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Fourier neural operator for parametric partial differential equations
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:27:20.233169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e1a95728-de1c-41d7-a9e8-6175b09687a7 · outbound
This paper cites an unresolved cited work.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Unresolved cited work
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:27:19.976549Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d1525bb-ee9f-4bc1-bce8-3dedc990006b · outbound
This paper cites Nagumo, S.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Nagumo, S
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:27:19.979585Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d83bf80e-4ce1-4662-99df-a7676a18300a · outbound
This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:27:19.982761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abdd9c05-7120-4fbc-8645-e0e9c0f57741 · outbound
This paper cites Parameter estimation for differential equations: a generalized smoothing approach.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Parameter estimation for differential equations: a generalized smoothing approach
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:27:20.212424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 83d0e462-c48d-432a-bb0f-7139a55a7486 · outbound
This paper cites an unresolved cited work.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T15:27:20.202258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 503c92bf-aeb7-42be-80a1-771e9d72673e · outbound
This paper cites Zero-shot Imputation with Foundation Inference Models for Dynamical Systems.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:27:19.992117Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3fb8e91-b843-489f-ac68-4fa168bada0a · outbound
This paper cites Understanding and mitigating gradient flow pathologies in physics-informed neural networks.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Understanding and mitigating gradient flow pathologies in physics-informed neural networks
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:27:19.996438Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9331e2c0-d61d-44af-8b16-4b3e5e81672a · outbound
This paper cites Gaussian processes for bayesian estimation in ordinary differential equations.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Gaussian processes for bayesian estimation in ordinary differential equations
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:27:20.192249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 074513ae-0c67-4dfe-99cc-ead80abdf89c · outbound
This paper cites Gorbach, Andreas Krause, and Joachim M.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Gorbach, Andreas Krause, and Joachim M
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:27:20.181744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bebf6d5e-7e99-4316-a219-f37b6caa0c66 · outbound
This paper cites Osborne, Bernhard Sch¨ olkopf, Andreas Krause, and Stefan Bauer.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Osborne, Bernhard Sch¨ olkopf, Andreas Krause, and Stefan Bauer
Reference 22
- Resolution
- verified exact
- doi, observed 2026-08-10T15:27:20.035524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bbfae840-b2a0-422e-8f32-2bcf35ee6246 · outbound
This paper cites Inference of dynamic systems from noisy and sparse data via manifold-constrained gaussian processes.
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Inference of dynamic systems from noisy and sparse data via manifold-constrained gaussian processes
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:27:20.172372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.