Paper Citation Record · LEDGER

SplineNet: An Isogeometric Deep Learning Method for Complex Shells

As of 12 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.06026.

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

pith.paper-citation-record.v1
2607.06026 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T19:06:22.016193Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

41 of 41 outbound references displayed

verified exact20
verified fuzzy4
unresolved0
parse uncertain0
malformed identifier12
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a013cdc7-b9f4-443c-9781-b3c603051593 · outbound

This paper cites John Wiley & Sons, Chich- ester, UK (2009).

SplineNet: An Isogeometric Deep Learning Method for Complex Shells John Wiley & Sons, Chich- ester, UK (2009)

Reference 1

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T21:25:39.200208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ca3f4772-ed58-4291-8b9b-e8c457a202cd · outbound

This paper cites McGraw-Hill, New York (1993).

SplineNet: An Isogeometric Deep Learning Method for Complex Shells McGraw-Hill, New York (1993)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:25:39.205350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 12a3543d-4703-4b75-aff8-125db4ec3a06 · outbound

This paper cites Computer methods in applied mechanics and engineering198(49- 52), 3902–3914 (2009) https://doi.org/10.1 016/j.cma.2009.08.013.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Computer methods in applied mechanics and engineering198(49- 52), 3902–3914 (2009) https://doi.org/10.1 016/j.cma.2009.08.013

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T21:25:39.226998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b9d6bb24-f59d-421f-afb2-0d43d678f2e4 · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering199(17- 20), 1216–1230 (2010) https://doi.org/10.1 016/j.cma.2009.12.010.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Computer Methods in Applied Mechanics and Engineering199(17- 20), 1216–1230 (2010) https://doi.org/10.1 016/j.cma.2009.12.010

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T21:25:39.207545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e311c72d-83ef-4934-a88a-59c0bd5f1735 · outbound

This paper cites Com- puter Methods in Applied Mechanics and Engineering351, 330–350 (2019) https://do i.org/10.1016/j.cma.2019.03.042.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Com- puter Methods in Applied Mechanics and Engineering351, 330–350 (2019) https://do i.org/10.1016/j.cma.2019.03.042

Reference 5

Resolution: verified exact; doi, observed 2026-07-08T19:15:30.302739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 571e2970-98e2-47f7-9944-01f1fd34eaee · outbound

This paper cites Applied Mechanics Reviews, 1–81 (2026) https://doi.org/10.1115/1.4071710.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Applied Mechanics Reviews, 1–81 (2026) https://doi.org/10.1115/1.4071710

Reference 6

Resolution: verified exact; doi, observed 2026-07-08T19:15:30.301044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation beaf7851-fb2e-44c5-9405-5eb43c6f3588 · outbound

This paper cites Raissi, P.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Raissi, P

Reference 7

Resolution: metadata mismatch; doi, observed 2026-07-08T19:15:30.307722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 38f39412-fafa-43a8-84fc-db0c472f8cd3 · outbound

This paper cites The Deep Ritz Method: A Deep Learning-Based Numerical Algo- rithm for Solving Variational Problems.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells The Deep Ritz Method: A Deep Learning-Based Numerical Algo- rithm for Solving Variational Problems

Reference 8

Resolution: metadata mismatch; doi, observed 2026-07-08T19:15:30.320680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 793758d3-530d-46ca-8f49-e954ab119e7c · outbound

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

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Computer Methods in Applied Mechanics and Engineering , author =

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-08T19:15:30.324757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 697ad855-112d-4cb5-a3f3-ad5065e82982 · outbound

This paper cites Communications in Computational Physics33(5), 1240–1269 (2023) https://do i.org/10.4208/cicp.OA-2022-0239.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Communications in Computational Physics33(5), 1240–1269 (2023) https://do i.org/10.4208/cicp.OA-2022-0239

Reference 11

Resolution: verified exact; doi, observed 2026-07-08T19:15:30.317528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 85f7a439-c97f-4b7f-ab61-873713f3c71c · outbound

This paper cites A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T19:15:30.440419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 80911b16-1464-4c22-814b-2a5043234ad9 · outbound

This paper cites Jour- nal of Computational Physics451, 110839 (2022) https://doi.org/10.1016/j.jcp.2021.1 10839.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Jour- nal of Computational Physics451, 110839 (2022) https://doi.org/10.1016/j.jcp.2021.1 10839

Reference 13

Resolution: verified exact; doi, observed 2026-07-08T19:15:30.299470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aa97e410-e498-4bbb-bacf-cdccf4505e7b · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering437, 117787 (2025) https://doi.org/10.1016/j.cma.2025.1 17787.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Computer Methods in Applied Mechanics and Engineering437, 117787 (2025) https://doi.org/10.1016/j.cma.2025.1 17787

Reference 14

Resolution: verified exact; doi, observed 2026-07-08T19:15:30.297801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 499416a3-5f8d-4e9e-8439-bc0699188a78 · outbound

This paper cites Understanding and Mitigating Gradient Flow Pathologies in Physics-Informed Neural Networks.SIAM Journal on Scientific Computing, 43(5):A3055–A3081.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Understanding and Mitigating Gradient Flow Pathologies in Physics-Informed Neural Networks.SIAM Journal on Scientific Computing, 43(5):A3055–A3081

Reference 15

Resolution: verified exact; doi, observed 2026-07-08T19:15:30.322263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 05205bac-93f2-4e63-ac29-13889af1e8f9 · outbound

This paper cites Heliyon9(8), 18820 (2023) ht t p s : //doi.org/10.1016/j.heliyon.2023.e18820.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Heliyon9(8), 18820 (2023) ht t p s : //doi.org/10.1016/j.heliyon.2023.e18820

Reference 16

Resolution: verified exact; doi, observed 2026-07-08T19:15:30.338959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b68b8d4a-0fb6-4725-b091-ccd2a4359628 · outbound

This paper cites Computational Mechanics67(1), 207–230 (2021) https://do i.org/10.1007/s00466-020-01928-9.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Computational Mechanics67(1), 207–230 (2021) https://do i.org/10.1007/s00466-020-01928-9

Reference 18

Resolution: verified exact; doi, observed 2026-07-08T19:15:30.342461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7aeac263-8906-4106-88ac-54ce9bc7d993 · outbound

This paper cites Computational mechanics 72(1), 173–194 (2023) https://doi.org/10.1 007/s00466-023-02293-z.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Computational mechanics 72(1), 173–194 (2023) https://doi.org/10.1 007/s00466-023-02293-z

Reference 19

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T21:25:39.210980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c231cd12-60d1-4be0-b06c-5b9530edc70a · outbound

This paper cites Small triangulations of 4-manifolds and the 4-manifold census.Discrete & Computational Geometry, Feb 2026.doi:10.1007/s0 0454-026-00818-w.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Small triangulations of 4-manifolds and the 4-manifold census.Discrete & Computational Geometry, Feb 2026.doi:10.1007/s0 0454-026-00818-w

Reference 20

Resolution: malformed identifier; doi_truncated, observed 2026-07-08T19:15:30.331521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 614b52eb-9439-4224-87d1-bd29861fc7eb · outbound

This paper cites Computa- tional Mechanics, 1–21 (2025) https://doi.or g/10.1007/s00466-025-02677-3.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Computa- tional Mechanics, 1–21 (2025) https://doi.or g/10.1007/s00466-025-02677-3

Reference 21

Resolution: verified exact; doi, observed 2026-07-08T19:15:30.335786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 01a08a4c-dc92-421d-bf8b-5231d4a3e151 · outbound

This paper cites Computational Mechanics, 1–26 (2025) https://doi.org/10.1007/s00466-025-0 2676-4.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Computational Mechanics, 1–26 (2025) https://doi.org/10.1007/s00466-025-0 2676-4

Reference 22

Resolution: verified exact; doi, observed 2026-07-08T19:15:30.319069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6d550c03-0aaa-4469-a21c-5d1899e61d72 · outbound

This paper cites Journal of Machine Learning Research 24(388), 1–26 (2023).

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Journal of Machine Learning Research 24(388), 1–26 (2023)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:25:39.216713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 484e203e-6cf8-477c-80b7-43154f0f92fa · outbound

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

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T19:15:30.447593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 55971f21-1e64-4355-bd3d-ba9b0a11c38a · outbound

This paper cites Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Reference 26

Resolution: metadata mismatch; doi, observed 2026-07-08T19:15:30.337446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 861ec031-926a-4569-b9fd-af7ae7c9495a · outbound

This paper cites Neural Networks198, 108560 (2026) https: //doi.org/10.1016/j.neunet.2026.108560.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Neural Networks198, 108560 (2026) https: //doi.org/10.1016/j.neunet.2026.108560

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-08T19:15:30.344910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 253825b6-8bdd-48a2-a808-21cfdb9ddf87 · outbound

This paper cites National Science Open 3(6), 20240001 (2024) https://doi.org/10.1 360/nso/20240001.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells National Science Open 3(6), 20240001 (2024) https://doi.org/10.1 360/nso/20240001

Reference 29

Resolution: malformed identifier; arxiv_id, observed 2026-07-08T19:15:30.450182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eda96619-8eb0-491b-a63c-fc48380814d6 · outbound

This paper cites Computer Meth- ods in Applied Mechanics and Engineering 403, 115671 (2023) https://doi.org/10.1016/ j.cma.2022.115671.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Computer Meth- ods in Applied Mechanics and Engineering 403, 115671 (2023) https://doi.org/10.1016/ j.cma.2022.115671

Reference 30

Resolution: malformed identifier; arxiv_id, observed 2026-07-08T19:15:30.442881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 473245f9-8612-48b7-8cfa-23c3efb9f022 · outbound

This paper cites International Journal of Solids and Structures276, 112321 (2023) ht tps://doi.org/10.1016/j.ijsolstr.2023.112321.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells International Journal of Solids and Structures276, 112321 (2023) ht tps://doi.org/10.1016/j.ijsolstr.2023.112321

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-08T19:15:30.314019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bce2cbbf-8867-49ff-afc0-0501d458790f · outbound

This paper cites Computer Methods in Applied Mechanics and Engineer- ing452, 118723 (2026) https://doi.org/10.1 016/j.cma.2025.118723.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Computer Methods in Applied Mechanics and Engineer- ing452, 118723 (2026) https://doi.org/10.1 016/j.cma.2025.118723

Reference 32

Resolution: malformed identifier; arxiv_id, observed 2026-07-08T19:15:30.445292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 689f3f9b-1caf-49e8-9b58-65a2fbd56460 · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering405, 115839 (2023) https://doi.org/10.1016/j.cma.2022.1 15839.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Computer Methods in Applied Mechanics and Engineering405, 115839 (2023) https://doi.org/10.1016/j.cma.2022.1 15839

Reference 33

Resolution: verified exact; doi, observed 2026-07-08T19:15:30.340551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 78d48a91-655d-4533-8666-88b911f8304f · outbound

This paper cites Com- puter Methods in Applied Mechanics and Engineering434, 117582 (2025) https://doi.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Com- puter Methods in Applied Mechanics and Engineering434, 117582 (2025) https://doi

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-08T19:15:30.334053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b31b2f70-84d7-44b7-b7ee-e5caec15f23a · outbound

This paper cites Engineering with Computers42(4), 116 (2026) ht t p s : //doi.org/10.1007/s00366-026-02351-z.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Engineering with Computers42(4), 116 (2026) ht t p s : //doi.org/10.1007/s00366-026-02351-z

Reference 36

Resolution: verified exact; doi, observed 2026-07-08T19:15:30.309249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 99c6aa8e-da28-4146-ac63-e6f2bbb63f61 · outbound

This paper cites Morgan Kauf- mann, San Francisco, CA, USA (2001).

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Morgan Kauf- mann, San Francisco, CA, USA (2001)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:25:39.223874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 02275ef2-f8a1-4e2f-a0bf-677407b29b24 · outbound

This paper cites ACM transactions on graphics (TOG)22(3), 477– 484 (2003) https://doi.org/10.1145/1201775.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells ACM transactions on graphics (TOG)22(3), 477– 484 (2003) https://doi.org/10.1145/1201775

Reference 39

Resolution: verified exact; doi, observed 2026-07-08T19:15:30.304280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation af879f5e-092f-4b28-b00c-1ba6d4342e26 · outbound

This paper cites Jour- nal of Approximation Theory90(2), 174–199 (1997) https://doi.org/10.1006/jath.1996.30 79.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Jour- nal of Approximation Theory90(2), 174–199 (1997) https://doi.org/10.1006/jath.1996.30 79

Reference 40

Resolution: verified exact; doi, observed 2026-07-08T19:15:30.315706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 905e1fe1-aeb4-4d82-8b3e-fa7a8a85b437 · outbound

This paper cites International Journal for Numerical Methods in Engineering88(2), 126–156 (2011) https://doi.org/10.1002/nm e.3167.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells International Journal for Numerical Methods in Engineering88(2), 126–156 (2011) https://doi.org/10.1002/nm e.3167

Reference 42

Resolution: malformed identifier; doi_truncated, observed 2026-07-08T19:15:30.326521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 29f6da7c-6eac-4bce-b16c-afcfe1632d01 · outbound

This paper cites In: Advances in Neural Infor- mation Processing Systems, vol.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells In: Advances in Neural Infor- mation Processing Systems, vol

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:25:39.229093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 07c604e6-3445-47ab-aaaf-d73a991a54b5 · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering444, 118114 (2025) https://doi.org/10.1016/j.cm a.2025.118114.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Computer Methods in Applied Mechanics and Engineering444, 118114 (2025) https://doi.org/10.1016/j.cm a.2025.118114

Reference 45

Resolution: malformed identifier; doi_truncated, observed 2026-07-08T19:15:30.328185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 18056755-ef0c-4c38-9bff-61ca68282366 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Adam: A Method for Stochastic Optimization

Reference 46

Resolution: malformed identifier; local_arxiv, observed 2026-07-08T19:15:30.311574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 628720e1-faf5-4e64-a18b-eeb0cab896b8 · outbound

This paper cites 1251–1258.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells 1251–1258

Reference 47

Resolution: malformed identifier; doi_truncated, observed 2026-07-08T19:15:30.329794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation de609fc5-febc-48e2-99ef-9ec3b494d92b · outbound

This paper cites Com- puter Methods in Applied Mechanics and Engineering291, 280–303 (2015) https://do i.org/10.1016/j.cma.2015.03.010.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Com- puter Methods in Applied Mechanics and Engineering291, 280–303 (2015) https://do i.org/10.1016/j.cma.2015.03.010

Reference 48

Resolution: verified exact; doi, observed 2026-07-08T19:15:30.296084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1c01c8a6-baf0-454a-b96f-2ee0c24bdb2a · outbound

This paper cites Com- puter Methods in Applied Mechanics and Engineering344, 477–498 (2019) https://do i.org/10.1016/j.cma.2018.10.002 25.

SplineNet: An Isogeometric Deep Learning Method for Complex Shells Com- puter Methods in Applied Mechanics and Engineering344, 477–498 (2019) https://do i.org/10.1016/j.cma.2018.10.002 25

Reference 49

Resolution: verified exact; doi, observed 2026-07-08T19:15:30.305949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.