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Paper Citation Record · LEDGER

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods

As of 3 August 2026, this Paper Citation Record lists 100 of 272 outbound references and 0 inbound Pith citation observations for arXiv:2607.06261.

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

pith.paper-citation-record.v1
2607.06261 v1

Coverage vector

measured 100 of 272 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T11:43:37.974923Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+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

100 of 272 outbound references displayed

  • verified exact2
  • verified fuzzy76
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch9

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a1ab206-5c5e-4110-b323-e0dad7f9a8ef · outbound

This paper cites SIAM Journal on Scientific Computing , volume =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods SIAM Journal on Scientific Computing , volume =

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:cff7844278c691d55943e6cc41b583f27d4877eaa2920753e6aec5f2a194bc55

Observation 50d0c3c9-262e-458b-be07-849cc75f3d1f · outbound

This paper cites Machine Learning in adaptive overlapping domain decomposition methods.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Machine Learning in adaptive overlapping domain decomposition methods

Reference 2

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verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.417245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:fb5fd7a234300118d6db6e5b9085136848e5247cc64580f516f747a13f4ea178

Observation dec65056-a4f0-43f5-b06f-176d60952cb4 · outbound

This paper cites Dohrmann and Axel Klawonn and Olof B.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Dohrmann and Axel Klawonn and Olof B

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 7c3b63b2-ac9b-456f-b187-c00b85d999ea · outbound

This paper cites Dohrmann and Axel Klawonn and Olof B.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Dohrmann and Axel Klawonn and Olof B

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.275731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:f2c779cf701a762091688156f6c46aeaccedac6ccc74ee8089d14bc8b8316742

Observation 0553c129-0877-499f-a3d7-a49e3bccade8 · outbound

This paper cites SIAM Journal on Scientific Computing , volume =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods SIAM Journal on Scientific Computing , volume =

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.689626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:43dab9724c7d4ac5ae6d54811267d9278079638a43f0266e76af6f2d355aa77a

Observation b9f09eeb-5d79-4fa2-aa07-9a4a17be5508 · outbound

This paper cites Domain Decomposition Methods in Science and Engineering XXIV , series =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Domain Decomposition Methods in Science and Engineering XXIV , series =

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.503527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:ba83b86affc7902b08c68fcd124b40ca94acb5c021d8fe0f26c1d6564da131bc

Observation d90b1577-1fee-4512-bdbe-7ada1e7a8d16 · outbound

This paper cites 2022 , type =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods 2022 , type =

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:5f4b63cd17b8dd3777ebffd8f33d3624cdd6cda1be3afedcc48a2595c17f9f7b

Observation de2f18d3-c31c-4eeb-b9a8-9864728e6932 · outbound

This paper cites Domain Decomposition Methods - Algorithms and Theory.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Domain Decomposition Methods - Algorithms and Theory

Reference 8

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raw_fallback, observed 2026-07-08T11:44:51.658597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:07092dbe92b795a8a0e18b437de06215092f4f3e441fa594706841046ec1511b

Observation 74a01b3c-7562-4d04-b5fe-2ffb8fbdadc8 · outbound

This paper cites an unresolved cited work.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Unresolved cited work

Reference 9

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:9f3c409863c8903ec08c23e1a0aaa4bec6b479278ba67a9a30b125ef63063ab4

Observation a81de888-f1e3-4d7e-abc3-859c7aa5e1cc · outbound

This paper cites an unresolved cited work.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Unresolved cited work

Reference 10

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:6997bb01c715ec1ba671936350f7c33839472d6306163e4a0b0f1ba5fefb1f09

Observation fdd48d5e-8722-48c2-b4cc-3a34e1061e08 · outbound

This paper cites an unresolved cited work.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-07-08T11:44:51.553242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:f06ff574546270079b85d0ec0a662d6ee0ded77828e896f5f16048184170401f

Observation bac81faa-292a-4be6-aaed-e2555b3b3ebb · outbound

This paper cites Numerical Linear Algebra with Applications , volume =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Numerical Linear Algebra with Applications , volume =

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:e983a4fe32751e9bbd8cfa650f7a7928f647ac4c697e7dc177f69ab7adee9d6d

Observation 3b1c103f-90f0-4176-a96d-66d3604d0a79 · outbound

This paper cites International Journal for Numerical Methods in Engineering , volume =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods International Journal for Numerical Methods in Engineering , volume =

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:889130560a805e9af048c20b17865bfa403f66bc69bbda34b76e12751f9dd50e

Observation 383e3ff1-2086-4586-a83a-fab733e57ddf · outbound

This paper cites Widlund , title =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Widlund , title =

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.309610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:788413b048bbaaec6632aa1a68439a1733d65337d71dfedb39166d6204a2236e

Observation ad87a7f7-75aa-4b21-8c45-46c6f20614ea · outbound

This paper cites Widlund , title =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Widlund , title =

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:0aaf7afc3ca54878fc5fa18f43e8017475da669be218830308f4d201f0033d09

Observation caa55853-71f2-4c43-ac60-752158d4ce2d · outbound

This paper cites Dohrmann , title =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Dohrmann , title =

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.489379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:13a25ff702852fedde04af23ba87e426306782af7c18295f2b86507ba3e38685

Observation 15df6ca9-f3bc-409a-8cba-d376c6813a41 · outbound

This paper cites Dohrmann , title =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Dohrmann , title =

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.290935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:61f2c341143dab409ea58424b4de10746f4b77b31d43096ee3a713fcc776c007

Observation 6639585d-dc1c-4a55-aec9-43081c25d94b · outbound

This paper cites Smith and Hong Zhang and Jianjun Li , title =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Smith and Hong Zhang and Jianjun Li , title =

Reference 18

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:d4c4333945972ab143cd14a319bcd90429e8f5fd381a42f8492923f32ad033d0

Observation 2c0237fc-e0b0-4a26-8630-19555b5a94ca · outbound

This paper cites SIAM Journal on Scientific Computing , volume =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods SIAM Journal on Scientific Computing , volume =

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.491164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:af9a8e6e8744763795e48b80cb2f085db55f9a3e5de8c876511cdaa57d58fdbb

Observation d6d91895-f604-4c15-8819-46d916aea31c · outbound

This paper cites Adaptive-Multilevel.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Adaptive-Multilevel

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:027d104d866781c71cb9faa77ea1114cc39b9e17a29d819b77f30f033ef77575

Observation 1de87e57-9a37-4fd3-9743-f428c32b94dc · outbound

This paper cites Abstract Robust Coarse Spaces for Systems of.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Abstract Robust Coarse Spaces for Systems of

Reference 21

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raw_fallback, observed 2026-07-08T11:44:51.482412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:e6cfcadef2ddfebd7ada8085d1992bd5cba56c99e461caeb0577370b8f24abe0

Observation fcc952fa-94e3-484f-9e6a-c6220b694b82 · outbound

This paper cites an unresolved cited work.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-07-08T11:44:51.267708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:2aa23d6a7f43b25d86eb32fb702309797fc69842740e0e9d67bd4b5f80c402ac

Observation 7ea5c630-d9aa-471f-9248-9eba1b9367c9 · outbound

This paper cites Adaptive Coarse Space Selection in the.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Adaptive Coarse Space Selection in the

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.415276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:abe162433df8ae55646ab221ebfa937b4ad95c854ee193628c46bc68f035bcdc

Observation 04dfda86-6bdd-4421-803d-54a0d5ae44fc · outbound

This paper cites Dohrmann , title =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Dohrmann , title =

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.413435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:a1a60bc39dd32a5be88b65e7be5de6c50e264105a7ad6900085b1f87db7090a1

Observation 816e5efd-ccb1-46f6-8b09-e2eefb335644 · outbound

This paper cites SIAM Journal on Scientific Computing , volume =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods SIAM Journal on Scientific Computing , volume =

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.294509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:601ae734e7216195d5a12a415facb2d037eb05a91673ecae5d67c18cb9c883de

Observation 311e4d1d-2d26-41bd-904d-cf5c2f944ac4 · outbound

This paper cites Electronic Transactions on Numerical Analysis , volume =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Electronic Transactions on Numerical Analysis , volume =

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.360000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:d2534d931da7e91b32b38784834973359dcaff549445aa3e901d4303592493bf

Observation 105cdb78-9b12-4843-a2a8-25ff0718da0e · outbound

This paper cites Keyes , title =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Keyes , title =

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.640025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:69f6d2a160330495c3137596ab4e005290f1bd04e21e97b61b6ff41e52bf2844

Observation 2b4610b0-81f5-4574-8479-cf32b00dde29 · outbound

This paper cites Gander and Walid Kheriji and Felix Kwok and Roland Masson , title =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Gander and Walid Kheriji and Felix Kwok and Roland Masson , title =

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.634326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:6435f6c94f5abcbbfadcf1abf647cff154f74b622246617145feba61cfd09566

Observation 2d6dd218-8eac-4945-bbc7-9c69249770aa · outbound

This paper cites SIAM Journal on Scientific Computing , volume =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods SIAM Journal on Scientific Computing , volume =

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.628519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:68cd6aed95700ebf1a8597c0dbba0d9cde153a42c4edb99251bac5491cc9b825

Observation 1b071007-9adc-488b-9ade-d8296ad28f14 · outbound

This paper cites International Journal for Multiscale Computational Engineering , volume =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods International Journal for Multiscale Computational Engineering , volume =

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.636439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:6ba32a8585ec6176877a8cc10a064c097828fe35a798fa0d6301a12718311f79

Observation 521c03d1-465d-49b4-a9c7-49358b9915b6 · outbound

This paper cites SIAM Journal on Scientific Computing , volume =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods SIAM Journal on Scientific Computing , volume =

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.638258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:531a3b62237a2bfa829bcdf10a404aab8c1d2843dccd622fdc0d613ab35c3cdd

Observation 1e196061-4fa5-4b8a-8d87-c392b7ce288b · outbound

This paper cites SIAM Journal on Scientific Computing , volume =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods SIAM Journal on Scientific Computing , volume =

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.624802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:e4099748cc05d552c4a15ef158d56f4608ca72d0038366a22413cfff2c227272

Observation f2020be0-05ee-4bde-b8e5-1b28ae1d595a · outbound

This paper cites Distributed physics informed neural network for data-efficient solution to partial differential equations.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Distributed physics informed neural network for data-efficient solution to partial differential equations

Reference 33

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local_arxiv, observed 2026-07-08T11:44:51.094144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:85299f71c3b48f695c0e34ad0b7868ef84e746ff9cf04f1426ed42077e9b281c

Observation 272b4e8c-1a4e-4771-875a-8ae5ac9af1a5 · outbound

This paper cites o rg and V \.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods o rg and V \

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.618176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 3ec5c725-a1e9-46b1-9059-ba51d20977d7 · outbound

This paper cites Proceedings of the IEEE 12th international conference on computer vision , pages=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Proceedings of the IEEE 12th international conference on computer vision , pages=

Reference 35

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:49196c094e9cb09919ab9ca4ec02579fe506158ed865eeb3e05ec3021623ad3d

Observation b0304e62-4368-43f8-b73d-b1b2c6032d00 · outbound

This paper cites Neural Networks: Tricks of the trade , pages=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Neural Networks: Tricks of the trade , pages=

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:e413d7243dd48c35509cca6d65cf2de40b0533d89f3b28f03bc1cf0fdfc63925

Observation 90d6a786-f717-48ee-9027-d088ddb6d5b6 · outbound

This paper cites Engineering Analysis with Boundary Elements , volume=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Engineering Analysis with Boundary Elements , volume=

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:940127abe9481a152ea93662feaa658c5760495fdfd268436ecfe35a330a8e4b

Observation 223dd978-772e-4c77-96a4-ff806955ab72 · outbound

This paper cites Rectified linear units improve restricted.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Rectified linear units improve restricted

Reference 38

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:d99a60f20bad08f06dd01deb3b9af9b36437391cf644867ef9eea2c23917d3e5

Observation 0161b58f-ad28-46f6-a695-b90cd2f5e8c4 · outbound

This paper cites an unresolved cited work.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Unresolved cited work

Reference 39

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:7bf700340ab4c36153083ee6867d54939e54c6bfe7361d836c850303b94d8ead

Observation eab340d9-0e1a-4369-b226-2e506ab82169 · outbound

This paper cites The annals of mathematical statistics , pages=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods The annals of mathematical statistics , pages=

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:ac7fcf12476edb04f624b8e14d63ee2a70f676b67ecd31f3d9caf0b2dfaa71ec

Observation c4860e88-87f0-4393-87cc-fe17fa756327 · outbound

This paper cites SIAM Review , volume=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods SIAM Review , volume=

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:552f7d0b5540c650c024ef982c897d119cbd600db7f7a7a78b3e6c4f38905d59

Observation 21221221-9e35-43cf-8f8b-6513ce8e6f91 · outbound

This paper cites Visualizing the Loss Landscape of Neural Nets.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Visualizing the Loss Landscape of Neural Nets

Reference 42

Resolution
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local_arxiv, observed 2026-07-08T11:44:51.102574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:5bc7cf66d93087da892701582f0e017efb89e55cf49f0bb5322f4e614b697019

Observation 560a5a52-5262-477b-85d6-8460cdbab674 · outbound

This paper cites Deep sparse rectifier neural networks , Year =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Deep sparse rectifier neural networks , Year =

Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:11719b944c4074a64449963dfdefe913a41d5a585b72374952cfc198fcd459b3

Observation 748c7229-c6cc-42cb-a3c8-b81e4dbe17aa · outbound

This paper cites Deep learning , Year =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Deep learning , Year =

Reference 44

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:dc27182bc2b40f45dda34d6186c65152939961c05bf9e69c3c6486709c6de993

Observation d71e544e-cbdd-416a-8db5-3ef511d9e465 · outbound

This paper cites an unresolved cited work.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Unresolved cited work

Reference 45

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:35439ede4b455b40d8cde9cd564c0985d60fbf4bc79c4d59142824b19354ecff

Observation 89e5f8ef-9581-4efc-be48-abf54c7e6c12 · outbound

This paper cites an unresolved cited work.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-07-08T11:44:51.604567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:5b3d62361e1d37525d5d5946d9d35d81fe015c1705e5c9fa84862126a1a07a47

Observation 7a3815ff-151b-45f6-8bd8-9864b4216b9c · outbound

This paper cites an unresolved cited work.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Unresolved cited work

Reference 47

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:44452d33aa394809dd4c9aaa3ec6ed2f6d8b14e8c35aff580196e6c7019dde13

Observation d1accb59-ea4f-4373-abdc-310ed7ff1e74 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 48

Resolution
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local_arxiv, observed 2026-07-08T11:44:51.079983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:adcb48b5ca7fa4ff9f6465c1ebb78246e438206dd06193196c20c481d17e3fe0

Observation b814a53f-ce84-4525-8124-686ee33519b1 · outbound

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

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Advances in neural information processing systems , pages=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.606469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:1cbc4c4cf60bf1d8969ca0817af9761eca87f1aed78a48951ba748cd4e89ad49

Observation 7cd7aa54-07f6-4534-b9dc-9a08223353c4 · outbound

This paper cites an unresolved cited work.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-07-08T11:44:51.592830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:0721b763b65a83527b9bd9025219b1bf3650a80d93876a29c9b7423286c1fbcd

Observation caf2b342-146e-40fb-8567-2a355f5fb90c · outbound

This paper cites Deep learning with.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Deep learning with

Reference 51

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:6a9334558757c1b4867424e9a7f555d788bc706296c1c979419898ee219b5868

Observation e87fc295-0f3c-402f-8887-6929a2d24562 · outbound

This paper cites 2010 , edition =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods 2010 , edition =

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.600795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:b609d387bc8b168cd1c61762c93079f4f3460ee0ace169aa150cbf7bc962fda8

Observation 7231dcda-9e9c-4830-bbf6-561a3419926f · outbound

This paper cites Adam: A method for stochastic optimization , Year =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Adam: A method for stochastic optimization , Year =

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.581189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:b9216db82ffe795103ad20a8cea1351ca73a6d600dfdf80c2a87160b4836ada2

Observation 1236f5b9-195d-4fa7-a6d0-bd994c94efcd · outbound

This paper cites The Marginal Value of Adaptive Gradient Methods in Machine Learning.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods The Marginal Value of Adaptive Gradient Methods in Machine Learning

Reference 54

Resolution
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local_arxiv, observed 2026-07-08T11:44:51.100164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:30fc0380a859e7d7c11b5bbb3ed82f229a72a9759185a003b3363eeec1f6c949

Observation f1ba95a5-a972-4465-83b3-ef890b2d6aa1 · outbound

This paper cites A progressive batching.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods A progressive batching

Reference 55

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:2cb280e4c8ec98aed2995d236e1c66c0a307f4a67465453e335f054e69bacc5f

Observation 7915c12e-45b8-4bb0-88be-0a8db1cb7646 · outbound

This paper cites and Hansen, Samantha L.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods and Hansen, Samantha L

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.660420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:957e987455e706eb498aab9a669cd0d49fa3ae35bdacaacdd4812da705d77aeb

Observation abc4b6da-b353-475a-8ffc-ccdc58e755de · outbound

This paper cites an unresolved cited work.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Unresolved cited work

Reference 57

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unresolved
raw_fallback, observed 2026-07-08T11:44:51.616031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:71aa2010936ea65c4a275f71fca56469b1923e6895d9e83548c39dcb5e192df1

Observation b21a5e45-ca0c-4504-b0d2-0c4428368deb · outbound

This paper cites and Nocedal, Jorge and Schnabel, Robert B.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods and Nocedal, Jorge and Schnabel, Robert B

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.367073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:790bb53b3fb796ca043e9e68d9e98e1226759ece45cd4a6abfc7cd30e827f234

Observation ce11de4b-c657-494a-9ba2-97b2c31b3f50 · outbound

This paper cites Updating quasi-.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Updating quasi-

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.331107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:d99fb511e5e52c22b45b1cb802c95e126beeb555144422004425a517816c937c

Observation 764ea0c3-668b-4447-97c2-cc5044706d98 · outbound

This paper cites SIAM Journal on Scientific Computing , volume=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods SIAM Journal on Scientific Computing , volume=

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.334564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:90b47a9c6488ee77ad6cbda1c98b7aa54670796050341ed2ec6516b0c6a5fdd8

Observation 5c0c3f78-1c43-4f26-87e6-60428d36b3ed · outbound

This paper cites Lecture 6a:.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Lecture 6a:

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.485729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:df0d335b5766f35e51a87666290cdc2bf920862d1a7735f810f9ad606622b0b6

Observation 73bdf464-1c7b-4339-94a9-434da36e813b · outbound

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

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Computer Methods in Applied Mechanics and Engineering , volume=

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.586876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:84c905d87ad5901c7989ff60c7f6d08a51dca4e6058f7961d4c2ec0f963f7e89

Observation c4ef9263-d11c-480f-824f-459ef7bb9af1 · outbound

This paper cites Adaptive subgradient methods for online learning and stochastic optimization , Volume =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Adaptive subgradient methods for online learning and stochastic optimization , Volume =

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.610192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:98214d6e29e8480344de785a2dc1ad465fd6f3cbae03d6a2d6536c8b62cc355e

Observation 436ca12b-5353-4644-a59e-7fddf8037000 · outbound

This paper cites Understanding Machine Learning , Year =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Understanding Machine Learning , Year =

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.584109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:30bab106f227445b702b59aba5e913ab6645535b605421929a777784b0b74c46

Observation 93f48f12-e7bf-4d73-a226-3b6018e4d3d5 · outbound

This paper cites and Varoquaux, G.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods and Varoquaux, G

Reference 65

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verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.646464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:0415b22bedb8e06b4b7b52b12b33ed441b9dcca9a78986e2e95d3e8c866f566f

Observation a6599cc1-45d6-4523-b84c-efa68c5c0856 · outbound

This paper cites 2020 , publisher=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods 2020 , publisher=

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.648650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:a0f71360b7780c186631900af607d5a42ec0de3e570300ef7a1308b25f9b2fbc

Observation 6ae4f115-af63-4d4f-bdb8-d5d00dcdf074 · outbound

This paper cites 2018 , publisher=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods 2018 , publisher=

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.545078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:5b0358860c43c7528557670ee7538b9c890ca3f4af744d1452f8ac6a286602f7

Observation 7eb3d76c-462c-4c2d-995d-ca8dd4557600 · outbound

This paper cites Introduction to Machine Learning with Python: A Guide for Data Scientists , Year =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Introduction to Machine Learning with Python: A Guide for Data Scientists , Year =

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.630443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:59979baacd878d7308c8d09c13cdb0d42334b70481580aa63c14b1b1a18f65f1

Observation beaf1a53-1e2a-4c77-b483-a3d6e2936407 · outbound

This paper cites Deep Domain Decomposition Method: Elliptic Problems.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Deep Domain Decomposition Method: Elliptic Problems

Reference 69

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T11:44:51.097557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:273c696bba33cdef76cb837a105c8bd045c990ad2703bbe396463a80afab93b0

Observation 22ae6fa8-8b99-4260-af44-ef842ba9448f · outbound

This paper cites 2019 , publisher=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods 2019 , publisher=

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.700961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:37f8cf27ac44bf8a3414a74ace700e7276ee3dd43995974fd44ecd499ad82128

Observation bb6a2a5c-6113-479c-be43-cee1286c9343 · outbound

This paper cites Raissi, P.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Raissi, P

Reference 71

Resolution
verified exact
doi, observed 2026-07-08T11:44:51.008236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:d150924e35be03aa1fe684342c53c553c3ecc855ac8467ffe049dc399d134a47

Observation bbcf32f0-301c-4682-9043-c0050c687cec · outbound

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

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods The Journal of Machine Learning Research , volume=

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.652594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:fee5f994df9a5a2ebb51c2146040622f15ab4356b359b02b2d998e5e74fbda1a

Observation 72d81c61-ed0c-4bf6-aca8-800deca426db · outbound

This paper cites an unresolved cited work.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-07-08T11:44:51.650611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:4f9f113dbdb6c2e22e08e1d556b1086a65bf350b29137559865e41b941e2af6c

Observation 9e37c9d6-a6b5-415f-a816-7db43096c00e · outbound

This paper cites an unresolved cited work.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-07-08T11:44:51.539482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:1098035e4a73eea390d899228d9fcc3a9f1a6375adbe34ab2069f7aae6ceec53

Observation 490e4fb8-64b8-44ae-97f4-26838272fa34 · outbound

This paper cites Large-scale Neural Solvers for Partial Differential Equations.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Large-scale Neural Solvers for Partial Differential Equations

Reference 75

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T11:44:51.088615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:00320af926116602121f0bda819d4b3d4f6c84cbd188a84ac137776c67aac438

Observation 6a8939b6-8844-443f-9702-61ce235fb57d · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 76

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T11:44:51.083100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:197ea02860a04fd77d177876fd0c1f46613e9126168f478306b2425178e7f89e

Observation 2e3672e1-1c2c-4638-b12c-a2e61ea4d1eb · outbound

This paper cites Conditional Computation in Neural Networks for faster models.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Conditional Computation in Neural Networks for faster models

Reference 77

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T11:44:51.085919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:1563c84e8727aaefd6afa19449de3989ec536354bf799cb26541bac3fb9ad1d7

Observation 18d52c7c-96de-4fe4-9297-b90bb817e0d0 · outbound

This paper cites 2020 , publisher=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods 2020 , publisher=

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.525765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:2de4af3a005f7b91b45dcfa6c99ce5e71428635d687d911740f31dfdf6872362

Observation 7c78dd77-4b29-4f57-b31a-c7b0cbaf53b6 · outbound

This paper cites an unresolved cited work.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-07-08T11:44:51.532646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:b8f97ddefa43a4b1bd31fb491b8e3a573b88f84805aacf372a328fc601cafbd2

Observation f4df57dc-ce8a-4fc7-9e09-bb25c9dbe64e · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering358(2020).

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Computer Methods in Applied Mechanics and Engineering358(2020)

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-07-08T11:44:51.016416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:7514f1f722587fd2efbf01798e7240e6c8b2b64b502930b3c376be14c528ca65

Observation 4f1b3382-6fb3-4919-a3b7-dd3ef9e5712c · outbound

This paper cites 2019 , eprint=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods 2019 , eprint=

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.667977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:bd2c7ca1914f0206c55ae1e9339105b240f6b4bce3d22d7fafcfd586aa06112d

Observation 0a744542-3d90-4fa1-8273-a282c7a1414e · outbound

This paper cites Progress in Artificial Intelligence , volume=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Progress in Artificial Intelligence , volume=

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.524047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:39a6184ec518cbf7b0d781cc8e9e93b1583fff86ee73e276dfadd150ebb6645e

Observation 0a9a130f-7f8b-4258-bb82-6e6b16733941 · outbound

This paper cites 2016 , eprint=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods 2016 , eprint=

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.534445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:5baa2e47185d07a7e1cbde021428957d62a941c2df69c12ed396e83dddedc827

Observation f4901e41-f0d7-4495-a18b-a1fdd945f6a2 · outbound

This paper cites 2011 , publisher=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods 2011 , publisher=

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.536185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:5dd75949a19c70b6490db9cd62da805c125d9fe44e2f2982379156aa149573b2

Observation 444b07a5-07f2-4535-b534-006eae40aceb · outbound

This paper cites IEEE Transactions on Signal Processing , title=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods IEEE Transactions on Signal Processing , title=

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.673992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:5202daefd09118f91dd833b666f4774c1b3bbb4a84266dc7ff55c5d6ec589e80

Observation 3c134799-fe5a-4da6-8fa3-c727e96c4d5b · outbound

This paper cites Advances and Open Problems in Federated Learning.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Advances and Open Problems in Federated Learning

Reference 86

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T11:44:51.104973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:a0ad12d802c3985bf8c55b35ef9f5815f548b6325aa5fbb542f9f15a61b67f82

Observation 245ede41-23c3-4ec5-9963-e19ac1ac5183 · outbound

This paper cites 2018 , eprint=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods 2018 , eprint=

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.512646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:02a4057a04b49876ce66390f4b544b82fd1c3f6f3b2fd7a54555063e45d163b5

Observation b4195d4a-cd13-4781-b836-892fa570b6a8 · outbound

This paper cites IEEE Signal Processing Magazine , volume=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods IEEE Signal Processing Magazine , volume=

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.672048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:b73c59ab0a290ca4b17172003b8495c70b43fece3da08d6c5cf1a6c6ec06188f

Observation 20f2a78a-93d6-41df-a7e2-1e8a0fafd162 · outbound

This paper cites 2020 , note=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods 2020 , note=

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.677525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:e4c26ed686ea7a80117a84c9a0da95c1da482434f3212bcb3d1e5b20a6e8698f

Observation 407b8e53-ee88-4a74-97d2-3441269b94f2 · outbound

This paper cites 2020 , note=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods 2020 , note=

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.681345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:a3ff701ee3e620d36a1572c5458468b290c57559fb3baf8abd7a8c186f49dd63

Observation f285611c-4002-400f-b605-6c8a36b37e92 · outbound

This paper cites Numerical Linear Algebra with Applications , volume=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Numerical Linear Algebra with Applications , volume=

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.683285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:c63aa8dfd63a7f366969d60f8d69fea9691cbd28bf88577f41af1fb48c430d0a

Observation 2c6439fe-4956-410d-a87c-55765071bccc · outbound

This paper cites Electronic Transactions on Numerical Analysis , volume=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Electronic Transactions on Numerical Analysis , volume=

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.679580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:f3cd71ef8d0b108a9838999d63b50b849c02c1a14076aaa0c58b79e1ee0cb5fa

Observation d20fd9a2-4576-4cca-9519-32bc93cbc079 · outbound

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

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Computer Methods in Applied Mechanics and Engineering , volume=

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.507154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:49ccf1c07dc7fe403422ad86f2b65a0306881a1ad73d8dfdee4bf727d747dee2

Observation a8cab729-3454-43cf-ba69-b28b97734249 · outbound

This paper cites Computers & Fluids , volume=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Computers & Fluids , volume=

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.518262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:8562ab886de096446df0c2b2f7db1399a033bf3cd52d86061ff4e629dbea99f4

Observation 6eeb62d2-e50b-4987-a221-b6c54bd050cc · outbound

This paper cites Journal of Computational Physics , volume=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Journal of Computational Physics , volume=

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.555346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:c7f8629fd45d9eb98b201aa18aed323465934615ca73f84ae885e15dbd0273ea

Observation 567e9c19-978f-4a4b-8b1e-4fc7c4148b53 · outbound

This paper cites Journal of Computational Physics , volume=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Journal of Computational Physics , volume=

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.666107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:95c7a5d95d7d6aaec016652bd120fe54dc08ed93f503183538cb733a4ca58c64

Observation 9dd8036a-2c5e-4cdb-b3bb-20c3c18b7e66 · outbound

This paper cites Vietnam Journal of Mathematics , pages=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Vietnam Journal of Mathematics , pages=

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.462397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:c952d4e350faa8d8e02dc867c6e18d8b211a55029259b895375384d234489164

Observation ce626e62-9ed8-4c20-bd45-1323f2174ff5 · outbound

This paper cites Advanced Modeling and Simulation in Engineering Sciences , volume=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Advanced Modeling and Simulation in Engineering Sciences , volume=

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.469584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:dca11380ef307cbc44927a782b02055aeb053123674d403944cfefe025646acb

Observation fd0d8f20-4ad0-4cd9-a5d6-3c85fb80215a · outbound

This paper cites 2023 , author =.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods 2023 , author =

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.487502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:8f9327831c4884b79c0188403a8fd2e88da57aaf50d465db83e53b015ea57fa9

Observation 7a8c1344-353e-480c-8ec4-0e5202bf849d · outbound

This paper cites Computational Science and Engineering , volume=.

Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods Computational Science and Engineering , volume=

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:44:51.368792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-08T11:43:37.974923Z digest=sha256:1436514a91f3395b039d98f10cd595bc349445bf1959eada7983605a1e0e063e

Pith citing papers

No inbound Pith citation observations are available.