Pith. sign in

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.

Source: paper_references, paper_reference_links

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

  • verified exact0
  • verified fuzzy17
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.258528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.258528Z digest=sha256:022b703f64be3f16780c7fc834ea813941bb25c36741b4405ee84daf219a5556

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.263727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.263727Z digest=sha256:a4bb3ac7649551b107c7a6ca11b65371851f06465882b8a5c7272f622b92b5f1

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.267384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.267384Z digest=sha256:d5695cc899ae2115885417c415745cfbd434013ac39bd476d1eb045b5149ead8

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.270754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.270754Z digest=sha256:a95e06763025be346e53f1ac1060baae44b2e6100956238c4a1f6802e23b2ca3

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.274653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.274653Z digest=sha256:f054f5b365d0573c098ed72e1d7a0765b6c56142854a5388f46e38e93c1c925f

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.278463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.278463Z digest=sha256:de508d6df3778980ccd30c57ed0379d62874991ce4930c8b181ce965fc8c92c8

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.281711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.281711Z digest=sha256:1cd29218af9566e4aa30813f4c08dd552f467da7dbf690e85e946dabf582e60c

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.284925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.284925Z digest=sha256:76daab8bc8f0a30ae44cca0c8d78360fa6ca7b377ff66d1ea010b497fe147ad1

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.288828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.288828Z digest=sha256:81c5ec36f802c879b89e5a83ea9261fdf26862ed3bb3e438891be646123f9eb0

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.292375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.292375Z digest=sha256:aaa512334b93be4a38cf08f82863d02af4ba342f80d7ec34acb861584eeb3af6

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.295892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.295892Z digest=sha256:5db2842672531327e30690bae651c5c06c770682b8f3d38ceeb6963c1509c1ac

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.890426Z

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=2026-08-11T11:15:54.299072Z digest=sha256:77f41d4deb27305dd5dec623b18c8acc6ff0ae7f36a94c1c19a04fb867a41696

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.302012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.302012Z digest=sha256:52dd98e56946400c8071058a221471870a2a1ff789c5b425aaf1fd365828c217

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.305361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.305361Z digest=sha256:054e395bd94f2afc37d1cb12702cb814e114137aa92cd69e76bb58291a1938ad

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.309165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.309165Z digest=sha256:6cf126b729edc1ddc81eda42aad0a569c7c645a733cd6435a27caf2323db5191

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.312605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.312605Z digest=sha256:99ae110c6a4835170e7252e0d6f1a33dc6abb583e21e30cffcca30ca3663af43

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.316355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.316355Z digest=sha256:8c99595c23b10f51197b9cfe811651be399dc0414eb1c613352161c0e48904fe

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.320074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.320074Z digest=sha256:4297389d207501c708b5d7d86c91d49263eb50d422ef2375505cb48f7cce841e

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.323603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.323603Z digest=sha256:8eee064e665a0369820fc24d4e3e4da729eceb65e8975076d49202eadd18069c

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.327230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.327230Z digest=sha256:1a33fa184622455e8df1551dc5a994a57ae38d6651c2cbacf06438050855c672

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.331030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.331030Z digest=sha256:8470104d80338a7458b82f3ed12201d447a593b382421fa43166cf3b052ddde1

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.334145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.334145Z digest=sha256:033593a67a2a1137be4e9b1503a41127139c2ba07cc3f80c86f016260697286f

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.337863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.337863Z digest=sha256:727700c133a6b22a8fbc627db9561ef0a4886374c56691a2b4291eef062883b5

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.340973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.340973Z digest=sha256:95281bfcb8a832e9d3337ebed5ab3e7e8545a1282aa62acc33ed921bb25904a9

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.344503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.344503Z digest=sha256:00a68b419ac9e2854b20ff0022599862e82f045835150e26111d3f0931a0e2cd

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.348771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.348771Z digest=sha256:2ce411a58a19e004548d50c24bfd79624a241e30331202b188210e9e2f417a37

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.352222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.352222Z digest=sha256:5b28713ed7d72a3dff5c78348725c9e6376b99243edee3017f6a1a7b0e80a32e

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.355652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.355652Z digest=sha256:8d1cf283fe5a697f62161f7799d6913ba13e0f0c4ba6408078a11e12e7828d71

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.358729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.358729Z digest=sha256:273a2d95a06d469c5d58d7980561d11015c60cdcacbdb68af5dcfb2f10062590

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.362433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.362433Z digest=sha256:cb6eef7cee5444b3f40a849a31a6deebbe5faf314713f5e78cd5e54906860173

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.831266Z

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=2026-08-11T11:15:54.365740Z digest=sha256:c36c9cd17ce3c3769edc1a5cc5eccdf3ae2602fdfe9272ea224f2e78c1743577

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

This paper cites ACM Transactions on Graphics (TOG) , volume=.

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

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.820028Z

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=2026-08-11T11:15:54.368710Z digest=sha256:957114129fdf19913ef589cea341d0e24043a26948b55d6a8d83bca43b3b6644

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.371738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.371738Z digest=sha256:54ba7f41740967cabf04ed2f128652e8bb3ea389ee64c03c38cd001b720f648c

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:54.375228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:54.375228Z digest=sha256:d36a851d35d91dedc4c3df5e8e0018bab0dfd59caedf41dec484accaf8aa5150

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.798495Z

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=2026-08-11T11:15:54.378187Z digest=sha256:55c8ff6ab913371414baf08ce61532d5fa67cc220c5cbb8d00ca8d1e9dbebfef

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.788375Z

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=2026-08-11T11:15:54.381816Z digest=sha256:8df1813c0340684862306ba41dca0e5b343a56fbb82228cd23cf8c6880ff5236

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:54.777840Z

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=2026-08-11T11:15:54.384933Z digest=sha256:df2749179ac5bab5de0fe5edf4932a889ce360184a82c5da06013dfe5cc835dd

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=sha256:0c3a1600d08955f54c13da4641d015cfad0055979cfc8cd2dc3c1b1680154197

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:e6fe695cf3a9e29aa69cdd513428f0c337bdfde452dd615910222bf8212eb90f

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=sha256:2b184fa1fb91ffbd424308b76188c21250a57f5db58974376981ddb3b3aa9558

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=sha256:4867deb8c3edd441e5fb85ced2a8e2459f752e26a95103b07a022c25e6333c34

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=sha256:4db2810c6310a4b24f58561a029aad1a160bd7cd5621b9a9d8d795bd027c908a

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=sha256:4e43168f8e2dab111fac6679c1b76cc9b503543fcfefdcdf2d76d9accd3e2ead

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=sha256:7535f3e569286acd5467794a7d7c1d23d4a0783a4b168a7ea5fa7997f317e828

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=sha256:70e13c3ba6aae4c20033c4a42bc0f198ca88ba33c37eb93e1b7b6ba717b80b70

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=sha256:95943db058458f145397ba895c2bd6decaf871f377c1f640cbd6a1f0674814f6

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=sha256:6a6e2c830d818740554494ac8ff667bae64acd377ba4080fa63a8ae1f1d4a700

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:ee31d12122908b2ecb8f154afce577beb682a080c0b6214b90c4922ecc926332

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:b1b1b7fe0c190bd4effe0389173e34e6dbe7be8da496e502dee7ae5548690e6e

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:c94871ef11c9b65aa140522a32c9ba9aed35fb504fdcf10801d11789bf6784db

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=sha256:4d91765a47e3a8ef34e4a662a5d41b00f3a87da7666fe47d55ca61e6775b11c1

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=sha256:02f49111bdc59cae5945cda79b9e333075e96dc44184917bff20b3383fed3950

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=sha256:9f0688b793d88178b143f83fb88d9c277f2890b1f1e46bb2e843f86ad49aef0f

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:e0174d6481b7e5ce301686dcb6ffcd6045c3d24b971b4be6f8ad9a63153d3853

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:e0123999e310cbd2a59f8699bd4041d7c8478db432bf98bd510733dc37d71fd3

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=sha256:8fb55eadb7da249e87b72db43fa964d1c100babd00eb2235bb9b341a6313fc33

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=sha256:2980e6f5dffa5e9246f99d4a5df0e3f5ce5362b91e97f7d04283d2ed6b068969

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=sha256:1278d2f27cbc3426b8084d88747478eabdf7778f5536529f9f570f4fce37f215

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:c2c1ae57d089e8ef810b6dc1ea216adf78e720fed7335ca678c1f7ff98c954b1

Pith citing papers

No inbound Pith citation observations are available.