Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T00:04:20.504581Z
Paper Citation Record · LEDGER
Level-set physics-informed neural networks for domain inverse problems of gravimetry
As of 11 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations for arXiv:2607.03772.
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 2026-08-11T06:34:44.6726+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
100 of 300 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved100
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e3ef6284-0bb4-492e-a0fd-66a88685446f · outbound
This paper cites Journal of Computational Physics , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Journal of Computational Physics , volume=
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ea69b33-ec4c-4b4f-8339-0b387c7a70c7 · outbound
This paper cites arXiv preprint arXiv:2512.10123 , year=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry arXiv preprint arXiv:2512.10123 , year=
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb74bfc6-2fe1-4847-97ff-54a7ef415691 · outbound
This paper cites 2026 , publisher =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry 2026 , publisher =
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8241eda-ea69-4131-90b3-5336d2cc1927 · outbound
This paper cites Communications in Computational Physics , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Communications in Computational Physics , volume=
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a235d2b3-2dea-426a-a6aa-5900e9d3a1bd · outbound
This paper cites Computer Methods in Applied Mechanics and Engineering , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Computer Methods in Applied Mechanics and Engineering , volume=
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2624afdc-a881-4b91-b4c8-fc05174264a7 · outbound
This paper cites Journal of Computational Physics , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Journal of Computational Physics , volume=
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 991978fc-be76-4782-aa06-14a704333f8d · outbound
This paper cites Annals of Applied Mathematics , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Annals of Applied Mathematics , volume=
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1cbf4234-db39-4ece-877e-9b77147b6e2c · outbound
This paper cites Journal of Computational Physics , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Journal of Computational Physics , volume=
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f17dc4e-6b23-4cbd-993a-8c15b2a2ba17 · outbound
This paper cites IMA Journal of Numerical Analysis , pages=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry IMA Journal of Numerical Analysis , pages=
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ddd0bb3-1dd4-4000-9103-4c3c3c3db6c4 · outbound
This paper cites , author=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry , author=
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9889edb-b4ae-4c11-bdc5-c13642af825c · outbound
This paper cites Journal of Scientific Computing , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Journal of Scientific Computing , volume=
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe5df8e4-d849-44fa-b24a-3388737365fe · outbound
This paper cites Inverse Problems , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Inverse Problems , volume=
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 008c4134-54f7-4f5c-b089-d539b3cada9b · outbound
This paper cites Journal of Computational physics , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Journal of Computational physics , volume=
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5667a568-d8b1-4f29-adc5-5747b6ee1a2c · outbound
This paper cites Geophysics , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Geophysics , volume=
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 893ff4e3-d237-46e4-9c8a-d84e220a99d7 · outbound
This paper cites Inverse problems , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Inverse problems , volume=
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ffb3c09-dfce-42e6-b214-704518feba32 · outbound
This paper cites Gravity field of the Moon from the Gravity Recovery and Interior Laboratory (.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Gravity field of the Moon from the Gravity Recovery and Interior Laboratory (
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a58e984-0d38-47d9-b92a-62b1a87794a3 · outbound
This paper cites Journal of Geophysical Research: Planets , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Journal of Geophysical Research: Planets , volume=
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62d47001-44bd-48e5-9727-0ab6ac05e864 · outbound
This paper cites 2007 , publisher=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry 2007 , publisher=
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5df8cec9-5239-4ff1-a108-b157278aa1dc · outbound
This paper cites Journal of Machine Learning Research , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Journal of Machine Learning Research , volume=
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 936920c0-d082-4fb8-b892-12857224c455 · outbound
This paper cites Error bounds for approximations with deep.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Error bounds for approximations with deep
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59bcfb40-6a34-42f1-abff-a2ebc4080415 · outbound
This paper cites arXiv preprint arXiv:2508.05141 , year=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry arXiv preprint arXiv:2508.05141 , year=
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2261d26c-3073-4591-b0c2-bc8ebb23ef9c · outbound
This paper cites an unresolved cited work.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Unresolved cited work
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14b4e140-3337-4214-b45b-13bea90f8d2d · outbound
This paper cites Inverse Problems , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Inverse Problems , volume=
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91c966a0-f692-4e69-addc-e7e1e8fb622e · outbound
This paper cites International journal of computer vision , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry International journal of computer vision , volume=
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2390d138-c2b6-410d-8a95-ae1ea194e2b7 · outbound
This paper cites Journal of Scientific Computing , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Journal of Scientific Computing , volume=
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1aef09d8-287c-4a82-81e6-2b07f223919a · outbound
This paper cites Nonlinear analysis: theory, methods & applications , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Nonlinear analysis: theory, methods & applications , volume=
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11c9d333-8e98-464e-bfb8-76bc90238aa3 · outbound
This paper cites International Journal of Computer Vision , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry International Journal of Computer Vision , volume=
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd7b051d-5c47-4332-a22c-cab48defda1f · outbound
This paper cites Medical physics , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Medical physics , volume=
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b97b7f0f-16cc-4503-abee-87152cac9be8 · outbound
This paper cites IEEE Transactions on sonics and ultrasonics , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry IEEE Transactions on sonics and ultrasonics , volume=
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d692335-b0a7-429e-b8d8-e09ed1d24684 · outbound
This paper cites Geophysical Journal International , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Geophysical Journal International , volume=
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7aab8d03-1e5a-46ce-877c-ec4f49207c21 · outbound
This paper cites and Gustavsson, K.
Level-set physics-informed neural networks for domain inverse problems of gravimetry and Gustavsson, K
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04ab1c7f-2475-4729-a97f-ab721d11d82d · outbound
This paper cites , date-added =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry , date-added =
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30d757e6-0121-4696-a3e0-a15c29f1a5a1 · outbound
This paper cites and Xu, S.
Level-set physics-informed neural networks for domain inverse problems of gravimetry and Xu, S
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a506d9b-ec68-49db-a59e-541d08d1fdc6 · outbound
This paper cites and van Rees, W.M.
Level-set physics-informed neural networks for domain inverse problems of gravimetry and van Rees, W.M
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ecbf90a2-577a-4646-a665-4b0d661c6510 · outbound
This paper cites Elliptic Problems in Nonsmooth Domains , year =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Elliptic Problems in Nonsmooth Domains , year =
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d41c14f9-28e6-4d13-a87b-2d97d76f2f50 · outbound
This paper cites A comparative study of structural similarity and regularization for joint inverse problems governed by PDEs , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry A comparative study of structural similarity and regularization for joint inverse problems governed by PDEs , volume =
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 36af3d4d-0bf0-4c2b-9ab9-f3b6d16a4597 · outbound
This paper cites Joint inversion approaches for geophysical electromagnetic and elastic full-waveform data , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Joint inversion approaches for geophysical electromagnetic and elastic full-waveform data , volume =
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ae58086-871e-4fa0-9105-b752ea9626b9 · outbound
This paper cites Joint two-dimensional DC resistivity and seismic travel time inversion with cross-gradients constraints , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Joint two-dimensional DC resistivity and seismic travel time inversion with cross-gradients constraints , volume =
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c837be6f-a1b6-4957-a6b1-0d98bec89ede · outbound
This paper cites Joint inversion: a structural approach , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Joint inversion: a structural approach , volume =
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb48f1a4-f5e0-4aed-bbc0-dd8cbd18e238 · outbound
This paper cites Joint inversion of refraction and gravity data for the three-dimensional topography of a sediment--basement interface , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Joint inversion of refraction and gravity data for the three-dimensional topography of a sediment--basement interface , volume =
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0aa80f1a-269f-4c29-adef-9ac043a7d297 · outbound
This paper cites Integrated gravity and wide-angle seismic inversion for two-dimensional crustal modelling , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Integrated gravity and wide-angle seismic inversion for two-dimensional crustal modelling , volume =
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b864455-abab-44db-b218-704801493fe3 · outbound
This paper cites A global integration platform for optimizing cooperative modeling and simultaneous joint inversion of multi-domain geophysical data , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry A global integration platform for optimizing cooperative modeling and simultaneous joint inversion of multi-domain geophysical data , volume =
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9663cea-5f74-4811-89c2-0d8eebd6e90f · outbound
This paper cites An optimal transport approach for seismic tomography: Application to 3D full waveform inversion , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry An optimal transport approach for seismic tomography: Application to 3D full waveform inversion , volume =
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdde33eb-0d75-4794-868c-206ba13161fe · outbound
This paper cites Total variation regularization for seismic waveform inversion using an adaptive primal dual hybrid gradient method , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Total variation regularization for seismic waveform inversion using an adaptive primal dual hybrid gradient method , volume =
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74860382-366d-4db5-8d19-73c3ab3a2388 · outbound
This paper cites Efficient 1.5 D full waveform inversion in the Laplace-Fourier domain , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Efficient 1.5 D full waveform inversion in the Laplace-Fourier domain , volume =
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4595e90c-57b9-42fd-afe1-4e3a3d1df952 · outbound
This paper cites An overview of full-waveform inversion in exploration geophysics , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry An overview of full-waveform inversion in exploration geophysics , volume =
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77ed34c9-0daf-4620-ae4e-f7590ecc2018 · outbound
This paper cites FWIGAN: Full-waveform inversion via a physics-informed generative adversarial network , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry FWIGAN: Full-waveform inversion via a physics-informed generative adversarial network , volume =
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7356df0-f1ad-4f00-8950-2d58b9ca1b0d · outbound
This paper cites Notes on perfectly matched layers (.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Notes on perfectly matched layers (
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cd46dde-dcdf-42ff-8db7-e2196fe2c386 · outbound
This paper cites Deepwave , url =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Deepwave , url =
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 634b2680-33f8-4e42-b700-129374fbc27c · outbound
This paper cites Learning on the correctness class for domain inverse problems of gravimetry , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Learning on the correctness class for domain inverse problems of gravimetry , volume =
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1cc793a-3b2a-4422-8a93-df49f7050356 · outbound
This paper cites Adam: A method for stochastic optimization , year =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Adam: A method for stochastic optimization , year =
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e091528-c4b0-4ae2-aedf-c2cb32fa83cd · outbound
This paper cites A stochastic gradient descent approach with partitioned-truncated singular value decomposition for large-scale inverse problems of magnetic modulus data , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry A stochastic gradient descent approach with partitioned-truncated singular value decomposition for large-scale inverse problems of magnetic modulus data , volume =
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b2c57b9-472f-42e9-9208-3a42b7ab2403 · outbound
This paper cites Inverse theory and applications in geophysics , year =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Inverse theory and applications in geophysics , year =
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5ed12b0-a5b7-45cd-bf26-960d0fc1ee23 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation , year =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry U-net: Convolutional networks for biomedical image segmentation , year =
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b0c1a9d-ed6f-4a3d-8c7b-99a3977c374e · outbound
This paper cites an unresolved cited work.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Unresolved cited work
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d5e97f0-aee4-4954-9007-56c5252bd4be · outbound
This paper cites A Multitask Deep Learning for Simultaneous Denoising and Inversion of 3-.
Level-set physics-informed neural networks for domain inverse problems of gravimetry A Multitask Deep Learning for Simultaneous Denoising and Inversion of 3-
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3567c521-7946-41bb-ac83-57209e5247df · outbound
This paper cites Deep learning for 3-.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Deep learning for 3-
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 734a1b07-27cb-45f0-98ef-dffa6f4c28e2 · outbound
This paper cites an unresolved cited work.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Unresolved cited work
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30df7a00-c580-4106-9a44-8322e824829b · outbound
This paper cites an unresolved cited work.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Unresolved cited work
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24603930-2d6c-4575-82ee-1dd9391d4fd3 · outbound
This paper cites Deep learning 3.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Deep learning 3
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c55ab75f-f368-4f2f-9c97-ec706c74fef6 · outbound
This paper cites an unresolved cited work.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Unresolved cited work
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86d615e2-ecf6-4978-9360-d9039b148c19 · outbound
This paper cites An alternative view: When does.
Level-set physics-informed neural networks for domain inverse problems of gravimetry An alternative view: When does
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1580bb9a-67aa-4837-a383-e4fec2c6cc34 · outbound
This paper cites Barzilai-Borwein step size for stochastic gradient descent , year =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Barzilai-Borwein step size for stochastic gradient descent , year =
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37006ae0-12f4-4a6b-8e2c-0e81f98ed467 · outbound
This paper cites Curiously fast convergence of some stochastic gradient descent algorithms , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Curiously fast convergence of some stochastic gradient descent algorithms , volume =
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c6dfd8a-2664-44dd-82cd-60942bda478b · outbound
This paper cites Stochastic gradient descent tricks , year =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Stochastic gradient descent tricks , year =
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5789a2ee-3755-4918-b99d-4f0d1849dbd9 · outbound
This paper cites Efficient mini-batch training for stochastic optimization , year =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Efficient mini-batch training for stochastic optimization , year =
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a4e6b54-5f35-4549-ad4a-4800c7667769 · outbound
This paper cites A level-set algorithm for the inverse problem of full magnetic gradient tensor data , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry A level-set algorithm for the inverse problem of full magnetic gradient tensor data , volume =
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c36b86d-a485-4c0f-b35e-440478eaa984 · outbound
This paper cites Computers & Mathematics with Applications , volume=.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Computers & Mathematics with Applications , volume=
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21aabb39-60b0-4e05-b008-22a5f5dd3526 · outbound
This paper cites Simultaneously recovering both domain and varying density in inverse gravimetry by efficient level-set methods , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Simultaneously recovering both domain and varying density in inverse gravimetry by efficient level-set methods , volume =
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 836e661d-adaa-48a6-ba38-f5feb221d88a · outbound
This paper cites Kantorovich-Rubinstein metric based level-set methods for inverting modulus of gravity-force data , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Kantorovich-Rubinstein metric based level-set methods for inverting modulus of gravity-force data , volume =
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 591967f5-3957-4e60-88d2-8891ab7aa6bf · outbound
This paper cites How good is.
Level-set physics-informed neural networks for domain inverse problems of gravimetry How good is
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b8e2cba-557b-40da-b640-24480528562d · outbound
This paper cites A stochastic approximation method , year =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry A stochastic approximation method , year =
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f670f5f-8314-4096-a6c1-dc6ec9d4fdb8 · outbound
This paper cites Robust stochastic approximation approach to stochastic programming , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Robust stochastic approximation approach to stochastic programming , volume =
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41023704-9c65-4f92-96e1-36040d612da5 · outbound
This paper cites Optimization for simulation: Theory vs.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Optimization for simulation: Theory vs
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e34d2596-7373-477e-872f-46bac5e883cc · outbound
This paper cites Optimization methods for large-scale machine learning , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Optimization methods for large-scale machine learning , volume =
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4f2f99c-b7c3-4a0d-913c-d0de0a86d7d4 · outbound
This paper cites Imaging cargo containers using gravity gradiometry , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Imaging cargo containers using gravity gradiometry , volume =
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93f03a00-e918-4a27-ba4c-4953d6793be0 · outbound
This paper cites Optimal approximations by piecewise smooth functions and associated variational problems , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Optimal approximations by piecewise smooth functions and associated variational problems , volume =
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation add98d8f-6575-4163-9c7a-8b2fca3f9376 · outbound
This paper cites A local level-set method for 3D inversion of gravity-gradient data , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry A local level-set method for 3D inversion of gravity-gradient data , volume =
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5c42f7b-0996-4953-a02a-855cc898befe · outbound
This paper cites Kantorovich-Rubinstein misfit for inverting gravity-gradient data by the level-set method , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Kantorovich-Rubinstein misfit for inverting gravity-gradient data by the level-set method , volume =
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc6cbb4a-afa1-4235-8eea-16106373b079 · outbound
This paper cites Analysis of Regularized Kantorovich--Rubinstein Metric and Its Application to Inverse Gravity Problems , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Analysis of Regularized Kantorovich--Rubinstein Metric and Its Application to Inverse Gravity Problems , volume =
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a114dab3-b3bb-499a-a5f5-eae1a49d851a · outbound
This paper cites Joint inversion of surface and three-component borehole magnetic data , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Joint inversion of surface and three-component borehole magnetic data , volume =
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7fafe3bc-a817-4ed9-a9e3-ef7891da6de5 · outbound
This paper cites 3D inversion of magnetic total gradient data in the presence of remanent magnetization , year =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry 3D inversion of magnetic total gradient data in the presence of remanent magnetization , year =
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef919a17-b052-442d-92ca-ca3c09c3996e · outbound
This paper cites Joint inversion of surface and borehole magnetic data: A level-set approach , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Joint inversion of surface and borehole magnetic data: A level-set approach , volume =
Reference 83
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2cb65ec0-d653-4d86-8654-81e8f1733f13 · outbound
This paper cites Inversion of the magnetic field gradient equation for a magnetic dipole field , year =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Inversion of the magnetic field gradient equation for a magnetic dipole field , year =
Reference 84
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56ea58a8-3010-42f2-a760-4a426a01e63d · outbound
This paper cites Method of magnetic source localization using gradient tensor components and rate tensor components , year =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Method of magnetic source localization using gradient tensor components and rate tensor components , year =
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation acf75c2d-173f-40c9-a852-8cff6b0b2a90 · outbound
This paper cites Inversion of geo-magnetic full-tensor gradiometer data , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Inversion of geo-magnetic full-tensor gradiometer data , volume =
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 092bb450-0b11-4648-ade9-a9ce1c9ddb69 · outbound
This paper cites Detection of buried magnetic objects by a SQUID gradiometer system , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Detection of buried magnetic objects by a SQUID gradiometer system , volume =
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f816a95-1b6a-44f8-8ab2-e18af2602fd3 · outbound
This paper cites an unresolved cited work.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Unresolved cited work
Reference 88
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af85d58b-8d44-40ac-8788-3b280d08ecba · outbound
This paper cites an unresolved cited work.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Unresolved cited work
Reference 89
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78a2d9ce-19db-4b33-a134-e4c0d05cda33 · outbound
This paper cites an unresolved cited work.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Unresolved cited work
Reference 90
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d93321d8-4dd6-45c7-9247-c6c2ae5f0eaa · outbound
This paper cites Advances in sensor development and demonstration of superconducting gradiometers for mobile operation , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Advances in sensor development and demonstration of superconducting gradiometers for mobile operation , volume =
Reference 91
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6809411e-e2ba-41eb-a81f-0bbeaace9101 · outbound
This paper cites Field trials using.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Field trials using
Reference 92
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff0f2e21-7a09-4cd9-8947-f6edbfb7191d · outbound
This paper cites Experience with SQUID magnetometers in airborne TEM surveying , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Experience with SQUID magnetometers in airborne TEM surveying , volume =
Reference 93
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55275222-0048-4078-8608-4747c28dc000 · outbound
This paper cites The magnetic gradient tensor: Its properties and uses in source characterization , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry The magnetic gradient tensor: Its properties and uses in source characterization , volume =
Reference 94
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b41af0fe-b23a-4687-9f78-1af85daf7f9a · outbound
This paper cites New methods for interpretation of magnetic gradient tensor data , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry New methods for interpretation of magnetic gradient tensor data , volume =
Reference 95
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 095b969a-ff24-4409-9183-d261dc81d8fb · outbound
This paper cites Full magnetic gradient tensor from triaxial aeromagnetic gradient measurements: Calculation and application , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Full magnetic gradient tensor from triaxial aeromagnetic gradient measurements: Calculation and application , volume =
Reference 96
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93185612-63ab-48ea-910c-90114bb854f6 · outbound
This paper cites Estimating source location using normalized magnetic source strength calculated from magnetic gradient tensor data , volume =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Estimating source location using normalized magnetic source strength calculated from magnetic gradient tensor data , volume =
Reference 97
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed9ae112-6062-4391-9b16-e0dacfddb66e · outbound
This paper cites an unresolved cited work.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Unresolved cited work
Reference 98
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e77e63f-e86e-47a1-9207-e7c5949acaa2 · outbound
This paper cites Quantum Detection Meets Archaeology--Magnetic Prospection with SQUIDs, Highly Sensitive and Fast , year =.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Quantum Detection Meets Archaeology--Magnetic Prospection with SQUIDs, Highly Sensitive and Fast , year =
Reference 99
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7bf5f071-801e-4423-97da-6d8b1b98d3f4 · outbound
This paper cites an unresolved cited work.
Level-set physics-informed neural networks for domain inverse problems of gravimetry Unresolved cited work
Reference 100
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:20.504581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.