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Paper Citation Record · LEDGER

Physics-based machine learning for mantle convection simulations

As of 8 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2505.16041.

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

pith.paper-citation-record.v1
2505.16041 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:13:20.571909Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

63 of 63 outbound references displayed

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  • verified fuzzy20
  • unresolved18
  • parse uncertain0
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 563f2475-3c25-4594-9455-1ab4cc375611 · outbound

This paper cites merlin.mbs aapmrev4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked.

Physics-based machine learning for mantle convection simulations merlin.mbs aapmrev4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked

Reference 1

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Observation f65ab75d-b958-47f4-afef-61c0cb808934 · outbound

This paper cites merlin.mbs aipauth4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked.

Physics-based machine learning for mantle convection simulations merlin.mbs aipauth4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked

Reference 2

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Source-reported events for the cited work

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Observation 7c08c2ae-7127-4540-a966-3a4ad4f03d21 · outbound

This paper cites merlin.mbs aipnum4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked.

Physics-based machine learning for mantle convection simulations merlin.mbs aipnum4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked

Reference 3

Resolution
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Source-reported events for the cited work

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Observation e4699ec5-7c5c-493a-b65b-69be209e0f0a · outbound

This paper cites merlin.mbs apsrev4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked.

Physics-based machine learning for mantle convection simulations merlin.mbs apsrev4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked

Reference 4

Resolution
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Source-reported events for the cited work

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Observation 7189adae-3930-4a9d-b9ec-f4793deae5af · outbound

This paper cites merlin.mbs apsrmp4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked.

Physics-based machine learning for mantle convection simulations merlin.mbs apsrmp4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked

Reference 5

Resolution
unresolved
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Source-reported events for the cited work

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Observation ac9146cd-801a-44f0-8563-7c9241346f5e · outbound

This paper cites , author Tosi , N.

Physics-based machine learning for mantle convection simulations , author Tosi , N

Reference 6

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Source-reported events for the cited work

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Observation 85f28c35-b71f-484c-9c0c-ec54e6b82858 · outbound

This paper cites , author Tosi , N.

Physics-based machine learning for mantle convection simulations , author Tosi , N

Reference 7

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Source-reported events for the cited work

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Observation 0194e07f-5cfa-4e30-9ccb-d95de5004344 · outbound

This paper cites Accelerating the discovery of steady-states of planetary interior dynamics with machine learning.

Physics-based machine learning for mantle convection simulations Accelerating the discovery of steady-states of planetary interior dynamics with machine learning

Reference 8

Resolution
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Source-reported events for the cited work

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Observation 77c01d3f-a267-42f6-bd73-3f0b92483e59 · outbound

This paper cites , author Tosi , N.

Physics-based machine learning for mantle convection simulations , author Tosi , N

Reference 9

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Observation c85d2cff-0ca6-451e-b620-d485638ef321 · outbound

This paper cites , author Pinto , W.

Physics-based machine learning for mantle convection simulations , author Pinto , W

Reference 10

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Observation 57ad8bd1-68ba-4cc1-955c-08d5416cbfdb · outbound

This paper cites , author Hoyer , S.

Physics-based machine learning for mantle convection simulations , author Hoyer , S

Reference 11

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Source-reported events for the cited work

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Observation 2552a8f2-156d-4501-a32e-039cee271543 · outbound

This paper cites , author Buttari , A.

Physics-based machine learning for mantle convection simulations , author Buttari , A

Reference 12

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Observation d69a426c-7661-4929-912f-5c314fcf33db · outbound

This paper cites , author Duff , I.

Physics-based machine learning for mantle convection simulations , author Duff , I

Reference 13

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Observation 8f736707-5569-4287-b9a0-3d560c2935ed · outbound

This paper cites , author Dannberg , J.

Physics-based machine learning for mantle convection simulations , author Dannberg , J

Reference 14

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Source-reported events for the cited work

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Observation a49efd4c-d343-4f80-9c7c-a5e514dad01a · outbound

This paper cites \ and\ author Moore , W.

Physics-based machine learning for mantle convection simulations \ and\ author Moore , W

Reference 15

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Source-reported events for the cited work

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Observation c129dbd2-24b1-4d89-a149-c2a2795a4a70 · outbound

This paper cites , author Marwah , T.

Physics-based machine learning for mantle convection simulations , author Marwah , T

Reference 16

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Observation 03bea66c-b2f9-4ef2-9eeb-360551fe39cb · outbound

This paper cites , author Agarwal , S.

Physics-based machine learning for mantle convection simulations , author Agarwal , S

Reference 17

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Observation c610825b-e1b1-4ea9-8537-0db29e837741 · outbound

This paper cites , author Di Cola , V.

Physics-based machine learning for mantle convection simulations , author Di Cola , V

Reference 18

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Observation 34f6af0b-639c-4a8f-a738-13a431cad007 · outbound

This paper cites \ and\ author Sotin , C.

Physics-based machine learning for mantle convection simulations \ and\ author Sotin , C

Reference 19

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Observation 1fcde6cf-1b92-45c9-bd53-2a57ef189934 · outbound

This paper cites , author Samuel , H.

Physics-based machine learning for mantle convection simulations , author Samuel , H

Reference 20

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Observation 810c5f12-3731-4f9e-aceb-6e6e14052309 · outbound

This paper cites , author Doin , M.-P.

Physics-based machine learning for mantle convection simulations , author Doin , M.-P

Reference 21

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Observation 0472e9ba-0c63-4bd6-a434-78afe23edfa4 · outbound

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Physics-based machine learning for mantle convection simulations a t zu K \

Reference 22

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Observation b26e3397-92c8-47d5-9513-378a6dc07ab7 · outbound

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Physics-based machine learning for mantle convection simulations , author Breuer , D

Reference 23

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Observation 174cfb63-931e-4fe6-8c37-8fb4421fdf22 · outbound

This paper cites , author Koren , T.

Physics-based machine learning for mantle convection simulations , author Koren , T

Reference 24

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Observation 6946e18c-ec6e-4f2f-8bda-23aae5da77ac · outbound

This paper cites ,\ title title A reassessment of the heat transport by variable viscosity convection with plates and lids , \ 10.1029/GL016i002p00179 journal journal Geophy.

Physics-based machine learning for mantle convection simulations ,\ title title A reassessment of the heat transport by variable viscosity convection with plates and lids , \ 10.1029/GL016i002p00179 journal journal Geophy

Reference 25

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Observation 5f023bbb-c675-46ea-9801-694729e5968f · outbound

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Physics-based machine learning for mantle convection simulations , author Tosi , N

Reference 26

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Observation 5b45537c-b681-4b9d-affc-3a6a9126c7e2 · outbound

This paper cites , author Ritschel , T.

Physics-based machine learning for mantle convection simulations , author Ritschel , T

Reference 27

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Physics-based machine learning for mantle convection simulations Unresolved cited work

Reference 28

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Physics-based machine learning for mantle convection simulations Unresolved cited work

Reference 29

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Observation e96e89c2-f4fb-4c16-b4be-18de814bd0ff · outbound

This paper cites , author Smith , J.

Physics-based machine learning for mantle convection simulations , author Smith , J

Reference 30

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Physics-based machine learning for mantle convection simulations Unresolved cited work

Reference 31

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Observation 18589dfd-c2b3-46e3-b2bc-ffb6c747ff5f · outbound

This paper cites \ and\ author Jordan , T.

Physics-based machine learning for mantle convection simulations \ and\ author Jordan , T

Reference 32

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Source-reported events for the cited work

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Observation 1ac13b96-9b3a-48b0-8c98-ed9f80c37956 · outbound

This paper cites , author Sanchez-Gonzalez , A.

Physics-based machine learning for mantle convection simulations , author Sanchez-Gonzalez , A

Reference 33

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Source-reported events for the cited work

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Observation e892c461-d981-4735-8742-cd7344341a80 · outbound

This paper cites , author Veeling , B.

Physics-based machine learning for mantle convection simulations , author Veeling , B

Reference 34

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Observation 0e17bb3d-0c03-43a0-a17d-77375eeecd57 · outbound

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Physics-based machine learning for mantle convection simulations , author Chu , M

Reference 35

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Source-reported events for the cited work

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Observation c749b474-74e4-4127-b684-4ea04bb8020e · outbound

This paper cites Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations.

Physics-based machine learning for mantle convection simulations Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations

Reference 36

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cc780dce-504a-440a-97c7-874fd59c59c2 · outbound

This paper cites , author Perdikaris , P.

Physics-based machine learning for mantle convection simulations , author Perdikaris , P

Reference 37

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:19.167736Z digest=sha256:23f176bbd2cb86b6253b8e762f96f7b62956f2f05097dd14e484d362ec7942cb

Observation 551eeffa-e781-4a24-82c1-6f1fb056a47f · outbound

This paper cites , author Hill , D.

Physics-based machine learning for mantle convection simulations , author Hill , D

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:19.255237Z digest=sha256:a1b39ff91adfe7b01d02df95af3bc3b5f349d63e74224d8704a8d500c1a6bcdc

Observation 05dfee3b-2829-416a-9a5a-e4ff0095e0ad · outbound

This paper cites , author Solomatov , V.

Physics-based machine learning for mantle convection simulations , author Solomatov , V

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:13:22.328627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:19.328526Z digest=sha256:7166c5d9d77c030fb8e36d3f5fbb585f7930bd405ca3363bff0311e3c168e838

Observation 9821c5f9-ca21-4078-9a08-d2fbfc9b8e0a · outbound

This paper cites , author Fischer , P.

Physics-based machine learning for mantle convection simulations , author Fischer , P

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:13:22.232687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:19.397062Z digest=sha256:b743856fc5973a3df05cad6f2ef4f83b5c5b6a133dfeef3155d0d37c1317330a

Observation 19212019-580b-4f09-b496-777bb885c365 · outbound

This paper cites , author Turcotte , D.

Physics-based machine learning for mantle convection simulations , author Turcotte , D

Reference 41

Resolution
verified exact
doi, observed 2026-08-07T15:13:20.970984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:19.549629Z digest=sha256:1333eca6bf36fdea07506f87bd8537add76b52b92be0caeb8949eae12dfa18d5

Observation 608fb65f-1e38-4921-ab5c-abdf71a9e750 · outbound

This paper cites , author Tosi , N.

Physics-based machine learning for mantle convection simulations , author Tosi , N

Reference 42

Resolution
verified exact
doi, observed 2026-08-07T15:13:20.937977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:19.667402Z digest=sha256:e0f8ae3df5dee78e1c66a40503b544e52e2f58f9ce5ee5e59a480fd8730c22c7

Observation a55250b6-c19b-44e8-a35f-0e9207829571 · outbound

This paper cites , author Boudec , L.

Physics-based machine learning for mantle convection simulations , author Boudec , L

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:13:22.158402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:19.752173Z digest=sha256:e4fb63108279a17ec41dd433e9a178b485318c8bfed76422de9111167d72b52d

Observation 67c98964-5c2f-4e8a-bf90-8883927a2bb0 · outbound

This paper cites an unresolved cited work.

Physics-based machine learning for mantle convection simulations Unresolved cited work

Reference 44

Resolution
verified exact
doi, observed 2026-08-07T15:13:20.908506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:19.861596Z digest=sha256:21c0cf7f37e6e720faf1dd7266878a6084f0e91fd2b71be6983c20077ddf7fd8

Observation f1f39d44-0cb4-4588-a91b-0e1aa7ee9901 · outbound

This paper cites , author Hosseinmardi , S.

Physics-based machine learning for mantle convection simulations , author Hosseinmardi , S

Reference 45

Resolution
verified exact
doi, observed 2026-08-07T15:13:20.871090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:19.974423Z digest=sha256:75cab19d38a97fc1e05b94972117a6d24acff48bf77614823fbf9791e933cc26

Observation 9c343ef4-c2ca-429d-a037-ddc44b2b9f20 · outbound

This paper cites an unresolved cited work.

Physics-based machine learning for mantle convection simulations Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T15:13:20.069694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:13:20.069694Z digest=sha256:34d33184688eaf7f7db6e91486381c58794baa342fe4600b48db1dabfddb7295

Observation c9db8d98-635d-4213-9060-1024955281a3 · outbound

This paper cites an unresolved cited work.

Physics-based machine learning for mantle convection simulations Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T15:13:20.193813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:13:20.193813Z digest=sha256:27a8eb2e2cb3218173f3f18e24a241f3371c4c89f4dcc4a7a95f371d4e9d0792

Observation 285a5bda-efa3-4a61-b663-f42ade7217b6 · outbound

This paper cites an unresolved cited work.

Physics-based machine learning for mantle convection simulations Unresolved cited work

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T15:13:20.281745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:13:20.281745Z digest=sha256:ba87b92e737eda552ba7c80fc0a33f2a5edbfaea2831d18a79da991543057bbb

Observation 92592985-890b-4939-81fe-b00b196026a6 · outbound

This paper cites , author Breuer , D.

Physics-based machine learning for mantle convection simulations , author Breuer , D

Reference 49

Resolution
verified exact
doi, observed 2026-08-07T15:13:20.775389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:20.413613Z digest=sha256:ff0090ff3a8b878c16d06ac981d6cf374328801588351ad05d10b6c8dcb0e995

Observation 8222cc5c-2769-426b-b933-6859aca60f2e · outbound

This paper cites , author Schlachter , K.

Physics-based machine learning for mantle convection simulations , author Schlachter , K

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:13:22.131019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:20.426914Z digest=sha256:9cd08b31c4414fe4e6eab4cc2b76c039e3cd8ebb97500c1e41eda8ca850659e3

Observation 4893478d-f821-4467-96c6-afddbe64ae8b · outbound

This paper cites , author Breuer , D.

Physics-based machine learning for mantle convection simulations , author Breuer , D

Reference 51

Resolution
verified exact
doi, observed 2026-08-07T15:13:20.740675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:20.434109Z digest=sha256:1b7b5cd81bdba44d465a4ceaaec087a437483c1887e615ab6409c7ba630f7a42

Observation b02cc6ee-be53-4de0-a642-59e4fc3a5569 · outbound

This paper cites \ and\ author Padovan , S.

Physics-based machine learning for mantle convection simulations \ and\ author Padovan , S

Reference 52

Resolution
verified exact
doi, observed 2026-08-07T15:13:20.709634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:20.442775Z digest=sha256:0f95c2d6c33da9cfb33272baf13543ddbf7e0a82dd9379d8d8581ac4e697a81f

Observation e14cc936-fbd0-4990-b080-bebe75aaa9d2 · outbound

This paper cites Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers.

Physics-based machine learning for mantle convection simulations Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T15:13:20.451167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:13:20.451167Z digest=sha256:58b245a29261227145ad0becf72ab7b5c9cecadc4673bfd175e88c8bfcd1a069

Observation d1881b87-2957-4495-907c-611befe69b2a · outbound

This paper cites , author Morwani , D.

Physics-based machine learning for mantle convection simulations , author Morwani , D

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:13:22.090447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:20.460115Z digest=sha256:cc5ef2a3079098de58a982a4a5dfdeeeede9dcc20e183782e6f3d81ede58455e

Observation 850c80b1-4ae8-4108-8628-720e20212a92 · outbound

This paper cites , author Schulz , S.

Physics-based machine learning for mantle convection simulations , author Schulz , S

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:13:22.063801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:20.483043Z digest=sha256:396f70e0fee10a2f26cc819d0c995c4d435977a437304943deddff453336b557

Observation 7eafdcfc-333c-4334-8146-45363666568c · outbound

This paper cites , author Weinmann , M.

Physics-based machine learning for mantle convection simulations , author Weinmann , M

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:13:22.034141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:20.494736Z digest=sha256:8d5ec0315936d839267f4342fed307a7fbbb423c7de5817c7e47dc6f38592538

Observation a7f4451d-6663-4282-bc28-f014512aef71 · outbound

This paper cites , author Ren , P.

Physics-based machine learning for mantle convection simulations , author Ren , P

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:13:21.990231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:20.502941Z digest=sha256:5e71e59e889cca1d975472fa121e6bf3ddc55256bf2abf66a4b732ac2b9d4f59

Observation 6eb08431-42e5-4d70-9c02-7ae556c349fc · outbound

This paper cites , author Yao , Y.

Physics-based machine learning for mantle convection simulations , author Yao , Y

Reference 58

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-07T15:13:21.690735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:20.519766Z digest=sha256:7c873bc5013d97121185401fcaabada400eaf7440c0030561832bc8035829426

Observation 3f983523-64c4-4d2e-b875-71c38da02279 · outbound

This paper cites , author Langer , S.

Physics-based machine learning for mantle convection simulations , author Langer , S

Reference 59

Resolution
verified exact
doi, observed 2026-08-07T15:13:20.676556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:20.527782Z digest=sha256:98d5730fb51f3dae2ff3ac7b9add32a0b5ddd6e434f9dc02ecc8d2b6e3b5ec08

Observation 64983d8d-b5f8-4482-8213-71020671e0b1 · outbound

This paper cites \ and\ author Freris , N.

Physics-based machine learning for mantle convection simulations \ and\ author Freris , N

Reference 60

Resolution
verified exact
doi, observed 2026-08-07T15:13:20.651882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:20.535739Z digest=sha256:d3e692f7baa1ef5935e8e997f6cb48a93911f735b67104568fadba72bde97c45

Observation 366c4d71-b305-4771-9d1a-8919267fd6f0 · outbound

This paper cites Learning to Accelerate Partial Differential Equations via Latent Global Evolution.

Physics-based machine learning for mantle convection simulations Learning to Accelerate Partial Differential Equations via Latent Global Evolution

Reference 61

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T15:13:21.587234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:20.551405Z digest=sha256:287783741f0e0c9d6005801acd63e2ae120989008b188a2c08f1c208828cad80

Observation 77b9062c-ff17-4621-aee0-177ee7d101b8 · outbound

This paper cites Continuous PDE Dynamics Forecasting with Implicit Neural Representations.

Physics-based machine learning for mantle convection simulations Continuous PDE Dynamics Forecasting with Implicit Neural Representations

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T15:13:20.563479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:13:20.563479Z digest=sha256:fced1734bb12649d714fbfa79493978f69c6821e0139bf9fe126ccb91ed80d34

Observation d52dc2f7-acbe-4e6e-9b02-03d5c581e74b · outbound

This paper cites , author McNamara , A.

Physics-based machine learning for mantle convection simulations , author McNamara , A

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:13:21.954090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:13:20.571909Z digest=sha256:a2491b33db0f83f3dc6afb26485c98db83da5f827470415c6baea660494a5ba9

Pith citing papers

No inbound Pith citation observations are available.