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Paper Citation Record · LEDGER

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries

As of 13 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2608.09764.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.09764 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:15:54.459029Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

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External citation measurements

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Outbound references

Observation bebb64de-6e60-495e-b1ba-413f56dc1565 · outbound

This paper cites Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education

Reference 1

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Observation 0e24a485-0e70-4471-8339-16acbfe67b24 · outbound

This paper cites Classification Problem Solving.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Classification Problem Solving

Reference 2

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Observation 6997b4d3-6d12-4097-a04a-2b11f180c07c · outbound

This paper cites , title =.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries , title =

Reference 3

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Observation 763de4b0-082c-47db-ba5f-2ac4915efb60 · outbound

This paper cites New Ways to Make Microcircuits Smaller---Duplicate Entry.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries New Ways to Make Microcircuits Smaller---Duplicate Entry

Reference 4

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Observation 050ec12c-99c8-4321-b8dd-f8542b48f8b0 · outbound

This paper cites Clancey and Glenn Rennels , abstract =.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Clancey and Glenn Rennels , abstract =

Reference 5

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source=arxiv_source observed=2026-08-11T11:15:54.274653Z digest=sha256:cfd2352df615ca405df7001641ead4fc31766ac213a05ffd890c14225ca06ebe

Observation d0e5160d-3ba0-4e4e-91bb-0c0a1397fed7 · outbound

This paper cites and Rennels, Glenn R.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries and Rennels, Glenn R

Reference 6

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Observation fcb3dacd-bf27-4e2e-ad66-28b94f30f3ce · outbound

This paper cites Poligon: A System for Parallel Problem Solving.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Poligon: A System for Parallel Problem Solving

Reference 7

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Observation 8ee56bbe-650c-4c5c-8ee7-d4973a19b417 · outbound

This paper cites Transfer of Rule-Based Expertise through a Tutorial Dialogue.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Transfer of Rule-Based Expertise through a Tutorial Dialogue

Reference 8

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source=arxiv_source observed=2026-08-11T11:15:54.284925Z digest=sha256:31b64d6f9241a4d462337398cf8a65c82dea29609587a117a5df8bfd7d241ce6

Observation 0b6b1120-39bb-4fe6-81d1-fdd7571bd711 · outbound

This paper cites The Engineering of Qualitative Models.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries The Engineering of Qualitative Models

Reference 9

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Observation 0cfb6798-f08f-4ec9-9eed-f79ebbdd8a53 · outbound

This paper cites 2023 , eprint=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries 2023 , eprint=

Reference 10

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Observation cee12a16-8404-450e-8415-eb945e425187 · outbound

This paper cites Pluto: The 'Other' Red Planet.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Pluto: The 'Other' Red Planet

Reference 11

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Observation 228e2987-5d28-4f24-92ee-88a01839c5e1 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 12

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source=arxiv_source observed=2026-08-11T11:15:54.299072Z digest=sha256:6c608756b536e0b836c9da60fb96456e371c7abc483896c027a10e71cdaf177d

Observation 17dc260a-180c-4cb7-8456-1b3f433d8f6d · outbound

This paper cites Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries

Reference 13

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source=arxiv_source observed=2026-08-11T11:15:54.302012Z digest=sha256:7cbc3abfa5272eae5c6bf811dd04eb74e7d066eb001f5a1c607470173ccb70a5

Observation 2369e900-75e1-49d8-96cb-9b7d87429b6a · outbound

This paper cites Transolver: A Fast Transformer Solver for PDEs on General Geometries.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Transolver: A Fast Transformer Solver for PDEs on General Geometries

Reference 14

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Observation 6a7f9586-6e0c-437a-8870-3a5a52aaacc8 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Advances in Neural Information Processing Systems , volume=

Reference 15

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Observation bff584f4-ea3a-4d84-b5be-a31defbee81d · outbound

This paper cites Solving High-Dimensional PDEs with Latent Spectral Models.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Solving High-Dimensional PDEs with Latent Spectral Models

Reference 16

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Observation a4352f38-c498-4ef2-8b95-7c7c321902c4 · outbound

This paper cites Improved Operator Learning by Orthogonal Attention.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Improved Operator Learning by Orthogonal Attention

Reference 17

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Observation 5a7e72c1-5fc4-41ba-9f47-2f7420279fe2 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Advances in Neural Information Processing Systems , volume=

Reference 18

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Observation 3bba1666-2d11-44d2-9471-16e05497a302 · outbound

This paper cites International conference on machine learning , pages=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries International conference on machine learning , pages=

Reference 19

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Observation f1bf2294-ec9f-4f5e-9261-999578c1c84a · outbound

This paper cites Transformer for Partial Differential Equations' Operator Learning.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Transformer for Partial Differential Equations' Operator Learning

Reference 20

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Observation ce0f8da7-79e4-4611-94b4-d173372aceea · outbound

This paper cites Advances in neural information processing systems , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Advances in neural information processing systems , volume=

Reference 21

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Observation 0ec82e5c-f571-41dd-9d89-235d92db4744 · outbound

This paper cites Factorized Fourier Neural Operators.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Factorized Fourier Neural Operators

Reference 22

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Observation 4b710bb3-05a2-40dd-b158-012768597434 · outbound

This paper cites Journal of Machine Learning Research , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Journal of Machine Learning Research , volume=

Reference 23

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Observation 288295c5-4566-42e3-a705-f74718a3721c · outbound

This paper cites Advances in Water Resources , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Advances in Water Resources , volume=

Reference 24

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Observation 09a159e0-11e7-4335-a86f-ef5a6bab6a76 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Fourier Neural Operator for Parametric Partial Differential Equations

Reference 25

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Observation b4459918-a594-4232-a443-c3d541da58c5 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Advances in Neural Information Processing Systems , volume=

Reference 26

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Observation 9555dbcd-aea7-4e8f-b982-ca235efd4cb2 · outbound

This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 27

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Observation efda50fc-a9db-4e51-8fc2-f3e214a640f0 · outbound

This paper cites International conference on learning representations , year=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries International conference on learning representations , year=

Reference 28

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Observation ca45fded-9163-4213-b06d-52f574fd39f0 · outbound

This paper cites Geometric deep learning: going beyond Euclidean data.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Geometric deep learning: going beyond Euclidean data

Reference 29

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Observation 48f91b09-c07d-4285-a0a5-b92f533e1cdc · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 30

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Observation 597d33e3-8638-4dc2-a1f1-09e1c49d054b · outbound

This paper cites Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=

Reference 31

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Observation acb91783-35bb-4771-a4e9-eabf80f0df88 · outbound

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MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries ACM Transactions on Graphics (TOG) , volume=

Reference 32

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Observation 80dee1dd-1453-4ef1-bae9-25d6b3ad65ff · outbound

This paper cites Nature Reviews Physics , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Nature Reviews Physics , volume=

Reference 33

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Observation 7b78a780-9884-49bd-ad11-1913e01cf0a1 · outbound

This paper cites Science , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Science , volume=

Reference 34

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Observation 2fa1db11-b6ab-46c6-b6a8-827afe8dc2ea · outbound

This paper cites Nature communications , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Nature communications , volume=

Reference 35

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Observation 91af6024-324b-4503-9edd-9236149124f2 · outbound

This paper cites Science advances , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Science advances , volume=

Reference 36

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Observation 643fa6be-7f3c-4b57-8561-b640781477f1 · outbound

This paper cites International conference on computational science , pages=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries International conference on computational science , pages=

Reference 37

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Observation 7e447b5d-e1fd-4248-bd92-ac9f6aa27239 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.767125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T11:15:54.388072Z digest=sha256:2bba90172512630b721761d9ae49e74b0d999a25b3a351b8f80c265db9139a01

Observation 3ae63691-7252-4c5e-bc53-51c89cff96bd · outbound

This paper cites Artificial Intelligence Review , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Artificial Intelligence Review , volume=

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.391047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.391047Z digest=sha256:e1fa627acd9e77b50ff6353d462aceefda5aab131afdee8e1b8c4726c3d85c36

Observation 3d368279-890c-486a-af79-67b9d6010429 · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Computer Methods in Applied Mechanics and Engineering , volume=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.750369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T11:15:54.393952Z digest=sha256:bc4baa0ef7d06f8da47aba6351576b5604034d7da0ba4ac9a9c0433197965121

Observation afde380d-fafd-400f-9d8f-899225c9460f · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.740610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T11:15:54.396866Z digest=sha256:5a59098f0cbc2630cfd78fe911bde051b042108c42b7c045051579caaae1d760

Observation eb1ae140-2e59-4d79-b9c4-c50946d5f0a5 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.729921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T11:15:54.400371Z digest=sha256:5194c8fe5f77417a2f1657102c09279a7f33878346591d657d140430aed2272a

Observation e2616fc9-f134-4f76-af0b-dbd39e988679 · outbound

This paper cites DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.403699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.403699Z digest=sha256:c2e0e70eb5c6eec55d5abd0c96c55e451ca6b50ab61d057352d35a36191ab166

Observation 5ca1573c-4bbe-4052-87d9-e7d621775785 · outbound

This paper cites Advances in neural information processing systems , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Advances in neural information processing systems , volume=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.407218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.407218Z digest=sha256:cdb9f462efc686cfe5b94b7e0652066668d76a4215fbd29a337060b1141705b2

Observation 3a5504d9-984d-4316-91fd-f9e6cc604677 · outbound

This paper cites Journal of Machine Learning Research , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Journal of Machine Learning Research , volume=

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.410438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.410438Z digest=sha256:c438ff36af77f2ded1ec0a4f823989cc4bb181c3e28c517e523be94e2bc38a62

Observation 77cd2e1c-b263-487e-bf5c-56f610e3d84f · outbound

This paper cites AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.413463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.413463Z digest=sha256:ed7e08ed184ce8b7ccf2ff73f07bc1d83a15fb1fc8432c2640ff8097812e4738

Observation 3b2ac097-ae43-4bdf-b485-5ba3aa396be6 · outbound

This paper cites The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.708412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T11:15:54.417934Z digest=sha256:787f730d140a4670be7feda1f68d56756dd8f844c7c262a31f8fa70108513257

Observation b5946a3b-d10f-412f-808c-0e3a7bd65446 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.697600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T11:15:54.421384Z digest=sha256:b22ae94c6b1bf5bb95203489565e2029f6e3045f8482ee0984b43e5ea4d17c0a

Observation cd42abf1-e97b-42ba-8707-4b6377ad9ba8 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Advances in Neural Information Processing Systems , volume=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.686792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T11:15:54.424451Z digest=sha256:1b9b612a74cb1fafa8adc072ecb800767a40a435d42a35069b624e782ed3c9d8

Observation 6c2028b7-a971-41b4-935a-d2963bf65021 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Advances in Neural Information Processing Systems , volume=

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.427956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.427956Z digest=sha256:55698a31430abf3195ee7bbc2abb107707d42aa338cbebb4020c18a6bdefadef

Observation 9760e322-04d6-4b67-8a21-ffe8140829f0 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Advances in Neural Information Processing Systems , volume=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.670196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T11:15:54.431439Z digest=sha256:81ac6bfbe251dc69db38d8e189bdc71fe7143992678400a9e188b9398d7109e5

Observation b57bd36e-773e-40d8-b04f-73e65ce00c8b · outbound

This paper cites Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.434969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.434969Z digest=sha256:dfc6bd252d4336747f26287a2b37a27ed76117b14aa52aabf3abeb10392f7a8d

Observation 1a6aef9b-6ae5-4b8f-bc1a-efcf33a57a60 · outbound

This paper cites The American Mathematical Monthly , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries The American Mathematical Monthly , volume=

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.438547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.438547Z digest=sha256:c58b8a1aaf025799a9cd40e824871f7b24104dfed14074c109f0b99ea4aebe09

Observation ddd49693-9220-4b5b-a449-45b04ab0f7bb · outbound

This paper cites 2009 , publisher=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries 2009 , publisher=

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.442053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.442053Z digest=sha256:127b4356ee3eb3c524bbd03fbb6bb68e6e092151d054cf4c0121822276560965

Observation 9b589536-a824-4e92-b2f2-c96e23d7f08e · outbound

This paper cites A Physics-preserved Transfer Learning Method for Differential Equations.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries A Physics-preserved Transfer Learning Method for Differential Equations

Reference 55

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T11:15:54.507619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T11:15:54.445103Z digest=sha256:bf948b5a987b9a4c5fecc364eeffcc7ff921de3e4082ebb0634800e47d9b8934

Observation c1ce6321-f04e-4c9d-b708-f04ac3fdf901 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Advances in Neural Information Processing Systems , volume=

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.649054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T11:15:54.448477Z digest=sha256:04e8c3e6f12e796fa6f2ab95a59c787be9b50c2aeba3e6bee4af50d8ca1aca48

Observation c72db9a6-7b0f-4e38-9218-aab4ffa491ef · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Advances in Neural Information Processing Systems , volume=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.638121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T11:15:54.451770Z digest=sha256:31d6b7e4960840ac58ad542d1279e70f6905e521626563d7ef60a100fb6d571e

Observation 92edf15e-4c9f-46e0-9be6-6e072d24577d · outbound

This paper cites Geometric Operator Learning with Optimal Transport.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries Geometric Operator Learning with Optimal Transport

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.455427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.455427Z digest=sha256:79494685225993ca3273eda4fa952d0f143e834baedf19aaf43b130a40faaa91

Observation b16a2946-c6b4-45b7-bae1-4edab7782013 · outbound

This paper cites International Journal of Applied Mechanics , volume=.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries International Journal of Applied Mechanics , volume=

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.626449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T11:15:54.459029Z digest=sha256:c3f73e354d5bf64d72b920cf07617b56954b1803549b994b6476967a3fe12a5a

Pith citing papers

No inbound Pith citation observations are available.