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Paper Citation Record · LEDGER

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations

As of 8 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 2 inbound Pith citation observations for arXiv:2505.24717.

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

pith.paper-citation-record.v1
2505.24717 v1

Coverage vector

measured 95 of 95 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:43.708341Z

measured 97 of 97 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T21:35:26.002162Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:47:18.919372Z

Reference resolution

95 of 95 outbound references displayed

  • verified exact4
  • verified fuzzy24
  • unresolved65
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d271a5c1-e7b7-48e6-b7c4-e1c92fd3e98b · outbound

This paper cites write newline.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations write newline

Reference 1

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source=arxiv_source observed=2026-08-07T12:35:33.518635Z digest=sha256:6e9c72b1ca4595ad3b1dc4de163ca28e458bd894c7da793c1da133efaa8b6962

Observation 153dc77c-30ad-4bbc-9988-99517eb5cd13 · outbound

This paper cites Convlora and adabn based domain adaptation via self-training.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Convlora and adabn based domain adaptation via self-training

Reference 2

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no resolver link, observed 2026-08-07T12:35:33.597861Z

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source=arxiv_source observed=2026-08-07T12:35:33.597861Z digest=sha256:3f0fa0caaf2fd9fc4afa1b93c56ae8b0eb3f47c8d0a7fc8b9fad852e4586bcf6

Observation b2d1a814-b2ae-4d8b-ac80-43e50ae6d324 · outbound

This paper cites C., Pletcher, R.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations C., Pletcher, R

Reference 3

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source=arxiv_source observed=2026-08-07T12:35:33.695845Z digest=sha256:47e3c30256f85907e15fc657b8a539e37a84b1a1bd5da2cd4a823e5d4ac1fb73

Observation 9f1331f2-ca23-441c-a9da-23f63635e712 · outbound

This paper cites M., Cholakkal, H., Shah, M., Yang, M.-H., and Khan, F.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations M., Cholakkal, H., Shah, M., Yang, M.-H., and Khan, F

Reference 4

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metadata mismatch
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:33.785053Z digest=sha256:aaa9028f5ecb06d73232bb09a5def9d081a7155091c35c3e343cace612361cee

Observation ff8bf419-5772-42d9-982e-90ae576db117 · outbound

This paper cites All are worth words: A vit backbone for diffusion models.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations All are worth words: A vit backbone for diffusion models

Reference 5

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source=arxiv_source observed=2026-08-07T12:35:33.863795Z digest=sha256:c74f011b19c9c81ebf26e8c65871906e86718412d093a70b73ea3dda68566d3b

Observation d5b4c0e8-6bee-4986-b906-c22a4d54cfe3 · outbound

This paper cites Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems

Reference 6

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Observation 58c88acb-50db-494f-8439-4cb33b0c2cab · outbound

This paper cites an unresolved cited work.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Unresolved cited work

Reference 7

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source=arxiv_source observed=2026-08-07T12:35:34.006211Z digest=sha256:a31d4137a186f166994357e615ccb667cf7e0aa883eea6c39158331837bf5641

Observation 25c4860f-d8f8-4897-a365-2aa00ee244a3 · outbound

This paper cites A Foundation Model for the Earth System.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations A Foundation Model for the Earth System

Reference 8

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no resolver link, observed 2026-08-07T12:35:34.087159Z

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source=arxiv_source observed=2026-08-07T12:35:34.087159Z digest=sha256:5f2941f3385609cd85dce791f100fbb0df096b155ddddc9069517876116ea652

Observation a1401734-9525-4037-ae8f-468e883f8d28 · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 9

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Observation 5aaa8f95-78cb-464b-9f44-24f908c50f5c · outbound

This paper cites Neural galerkin schemes with active learning for high-dimensional evolution equations.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Neural galerkin schemes with active learning for high-dimensional evolution equations

Reference 10

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Observation 63f27543-0421-448e-8aa6-b767a0200fbf · outbound

This paper cites X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Molecular Design.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Molecular Design

Reference 11

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Observation 4fa39850-0e66-4c88-9ab5-3145631f6b04 · outbound

This paper cites J., Vasil, G.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations J., Vasil, G

Reference 12

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Observation b92be850-891c-40e8-9ce9-c8f057d27427 · outbound

This paper cites Choose a transformer: F ourier or G alerkin.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Choose a transformer: F ourier or G alerkin

Reference 13

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Observation de601560-593a-48fc-94fa-1fa8a97fe7d2 · outbound

This paper cites an unresolved cited work.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Unresolved cited work

Reference 14

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Observation 6619a843-56e4-483c-aad4-24f0efd533f6 · outbound

This paper cites P., Caron, M., Geirhos, R., Alabdulmohsin, I., Jenatton, R., Beyer, L., Tschannen, M., Arnab, A., Wang, X., Ruiz, C.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations P., Caron, M., Geirhos, R., Alabdulmohsin, I., Jenatton, R., Beyer, L., Tschannen, M., Arnab, A., Wang, X., Ruiz, C

Reference 15

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source=arxiv_source observed=2026-08-07T12:35:34.602332Z digest=sha256:41550c17683e4779406777bfb37ccca9cfa841a1edcc15347c62e0838d75d0c1

Observation 9559df9d-6df0-4a25-b163-ac11b11c77bd · outbound

This paper cites BERT: pre-training of deep bidirectional transformers for language understanding.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations BERT: pre-training of deep bidirectional transformers for language understanding

Reference 16

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Source-reported events for the cited work

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Observation 809f7be8-e6a6-4335-82f9-1dceafc87b90 · outbound

This paper cites and Nichol, A.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations and Nichol, A

Reference 17

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source=arxiv_source observed=2026-08-07T12:35:34.795354Z digest=sha256:591290e5a32c65a6d1e992668a05eca85b0147db6853b45be4105a213b29855d

Observation 53d1565a-aaec-41db-90f8-428dbeebe927 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations An image is worth 16x16 words: Transformers for image recognition at scale

Reference 18

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unresolved
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Observation 998fbd6a-ec76-4de1-a916-148bc8e5000a · outbound

This paper cites C., Zepeda-Nunez, L., Smith, J., Brenner, M., and Hoyer, S.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations C., Zepeda-Nunez, L., Smith, J., Brenner, M., and Hoyer, S

Reference 19

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Observation 229f40f9-e6b4-4827-a8c1-e38251f820c7 · outbound

This paper cites Turbulence modeling in the age of data.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Turbulence modeling in the age of data

Reference 20

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Observation cec9e948-43bf-45a9-8aa0-f4005cde566c · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Scaling rectified flow transformers for high-resolution image synthesis

Reference 21

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Observation 33b145cd-7be4-451c-af14-c6738c22ac52 · outbound

This paper cites and The PyTorch Lightning team.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations and The PyTorch Lightning team

Reference 22

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Observation e22e1246-12ef-4405-8ffe-8ab561b312f3 · outbound

This paper cites and Zabaras, N.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations and Zabaras, N

Reference 23

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source=arxiv_source observed=2026-08-07T12:35:35.831687Z digest=sha256:197668a7c1480c05ccc894ae50bcfa448c3d2f4b2b29437484f4b2fc86b55d10

Observation 31e981e4-a4ca-4c91-a862-0b37d8affc6e · outbound

This paper cites D., and Karniadakis, G.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations D., and Karniadakis, G

Reference 24

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source=arxiv_source observed=2026-08-07T12:35:35.991750Z digest=sha256:94a0f21923a54b3f1883997389cd5cb27989bd9be87d7522fca41b1256f73d43

Observation 3bc2f247-c16f-4a1a-8882-af7d236acaee · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 25

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unresolved
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source=arxiv_source observed=2026-08-07T12:35:36.205109Z digest=sha256:f047cebc0a51a6e4859cf5fde17c2b1e991a801f0181cd1c984f56318fa4ff1a

Observation 385dc3fd-2528-44a0-bc17-9107ab870f8c · outbound

This paper cites Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models

Reference 26

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source=arxiv_source observed=2026-08-07T12:35:36.350893Z digest=sha256:90effb10739edc9003d92bf183e732bb5ffcac68ba68a48cfa76c8fd8023c780

Observation 53c0d114-b4a7-4900-9d27-d1d7f1d4d9eb · outbound

This paper cites Low-rank adaptation of time series foundational models for out-of-domain modality forecasting.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Low-rank adaptation of time series foundational models for out-of-domain modality forecasting

Reference 27

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Observation b57c49a1-23f0-48a3-80bf-ea34e740bdcd · outbound

This paper cites an unresolved cited work.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Unresolved cited work

Reference 28

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source=arxiv_source observed=2026-08-07T12:35:36.557056Z digest=sha256:d3bc9d9c2f316ea99b68ec84c1979e57479ecc6ba83e94e3b34bc04344d973bb

Observation 0dda8e56-2d5d-4a46-8628-ba2831ba1e8a · outbound

This paper cites Poseidon: Efficient foundation models for pdes.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Poseidon: Efficient foundation models for pdes

Reference 30

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Observation 57d02de5-6347-480b-99f7-841c56b96b69 · outbound

This paper cites Axial Attention in Multidimensional Transformers.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Axial Attention in Multidimensional Transformers

Reference 31

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Observation ae9756f2-48ab-48f2-ab4a-3f254c605246 · outbound

This paper cites Denoising diffusion probabilistic models.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Denoising diffusion probabilistic models

Reference 32

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source=arxiv_source observed=2026-08-07T12:35:36.957181Z digest=sha256:1c1e24346c04786b29356b7231c2b3f2d1cc38c1b3adceb701ecf837b2357665

Observation 63b70b54-44c9-499a-990c-76b327bd2673 · outbound

This paper cites J., Vegetti, S., and Thuerey, N.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations J., Vegetti, S., and Thuerey, N

Reference 33

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:37.055240Z digest=sha256:06d94683efc3dcd60f4eabfccfc880471c96902e5d98a513ae13aadf630a14ac

Observation e91868e2-9b00-4ce2-9087-904a0eb208cb · outbound

This paper cites simple diffusion: End-to-end diffusion for high resolution images.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations simple diffusion: End-to-end diffusion for high resolution images

Reference 34

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:37.173563Z digest=sha256:fb4df90734bdfccbf7c590c62ef36446e7e4c64a250ab9e1d0c837c1fe7ec883

Observation 0cae0fba-502d-472d-b93e-cbf3be0af497 · outbound

This paper cites J., Shen, Y., Wallis, P., Allen - Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations J., Shen, Y., Wallis, P., Allen - Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 35

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Observation 8aba040c-92f2-471f-a2b9-51901b1d7933 · outbound

This paper cites Cocogen: Physically consistent and conditioned score-based generative models for forward and inverse problems.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Cocogen: Physically consistent and conditioned score-based generative models for forward and inverse problems

Reference 36

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Observation 1d39feca-1be2-40c6-babc-fdceacca6271 · outbound

This paper cites C., Thuerey, N., Kim, T., Gross, M., and Solenthaler, B.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations C., Thuerey, N., Kim, T., Gross, M., and Solenthaler, B

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-07T12:35:52.264271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9d28c975-cb42-4958-a1fd-f56a0901b9e5 · outbound

This paper cites A., Alieva, A., Wang, Q., Brenner, M.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations A., Alieva, A., Wang, Q., Brenner, M

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:37.502118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:37.502118Z digest=sha256:1d7946feb3a2ff9f82b150a7eea8abcb216a7b0a5c62a917e0c05f1d4c6fb94d

Observation 47f679d9-4a12-4504-af61-96401f1adcc0 · outbound

This paper cites Apebench: A benchmark for autoregressive neural emulators of pdes.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Apebench: A benchmark for autoregressive neural emulators of pdes

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:37.597456Z digest=sha256:e7f6058ed2b1f7dbfda12819b0ce8f083904e76470bc42c77448ea20e66587d0

Observation f827f106-2f5b-4bf0-a81b-8fc63db6654f · outbound

This paper cites Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:37.669192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:37.669192Z digest=sha256:d916e37bd808bcbafa7ef80525a68460453b365d8d4e0ce298033f3cffa13650

Observation 9cc18a6d-b04f-427d-831d-3e74fd273172 · outbound

This paper cites J., Bonev, B., Azizzadenesheli, K., Berner, J., and Anandkumar, A.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations J., Bonev, B., Azizzadenesheli, K., Berner, J., and Anandkumar, A

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:37.755442Z

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source=arxiv_source observed=2026-08-07T12:35:37.755442Z digest=sha256:59790b96991112f91825e8f7d981b14d4fd486c79161210f0707a663abaf088b

Observation bfc91a47-2078-4044-ae47-eeebfef7d2ff · outbound

This paper cites B., Li, Z., Liu, B., Azizzadenesheli, K., Bhattacharya, K., Stuart, A.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations B., Li, Z., Liu, B., Azizzadenesheli, K., Bhattacharya, K., Stuart, A

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:37.872333Z digest=sha256:ba6043d8213b458fc030c6f17f416442a59951c6c541957c8fb6b54056da4651

Observation e08c8fd0-140a-4d15-83b8-e8b15dd53546 · outbound

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

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:37.974875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:37.974875Z digest=sha256:cbaf701520c7dc30b2f337736067a6418520416f0bc1d09fc86c2e2d13d9a8e3

Observation 9a527c3e-342a-467d-9194-f9cc4fce56df · outbound

This paper cites Physics-Informed Neural Operator for Learning Partial Differential Equations.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Physics-Informed Neural Operator for Learning Partial Differential Equations

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:38.087349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:38.087349Z digest=sha256:4d2a454c7684c9a6347ed2bda42aa6c5ddba049c60a6470695f185acd37c33f2

Observation 1a1bc21f-2907-47a8-9785-737e51e3cdb4 · outbound

This paper cites an unresolved cited work.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:51.720394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:38.172251Z digest=sha256:d37163063eb57b0fb33021b35b9a842d2e3fc7a42552e99f7e710df13b4a5272

Observation 3c7ab63b-95a4-48ce-8664-118ce8e2b57d · outbound

This paper cites an unresolved cited work.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:51.501596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:38.271364Z digest=sha256:c882d3ed83d507e326cb1a6a59c0caca813f306cf65f8d1dffe6384cb6279e0c

Observation 8abb34bc-a4b6-418a-a7f4-38369aa2a270 · outbound

This paper cites Foundation models for time series analysis: A tutorial and survey.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Foundation models for time series analysis: A tutorial and survey

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:38.362261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:38.362261Z digest=sha256:e4576737aefe5f2de0a54f132e862c691a20713cbe9775cc6b7a680be5a196ea

Observation 778d6723-887a-41e0-adc0-a64679ee92e6 · outbound

This paper cites Tracking meets lora: Faster training, larger model, stronger performance.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Tracking meets lora: Faster training, larger model, stronger performance

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:38.435349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:38.435349Z digest=sha256:fbbdedc9f56a8e5ff2dd0699f3772fe2e53348c43b86e89cecbd342c3e311aab

Observation d96ce649-4714-4724-8828-c5d51760f9c3 · outbound

This paper cites an unresolved cited work.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:51.161281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:38.567914Z digest=sha256:03ed0b49d9f63a213e5dc38cb403de45497019e4ba19e4a1a100f15fe4fb27da

Observation 99e3b058-a7c7-41e8-8210-9a66c7474e74 · outbound

This paper cites and Thuerey, N.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations and Thuerey, N

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:38.674936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:38.674936Z digest=sha256:5b71acc0389ac586a27236deae89bb19ddf381790d55188cd64b42978443cfbe

Observation b33e0301-b029-4d0c-8591-07990401adbd · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:50.928067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:38.754123Z digest=sha256:0693885180850687a00d0fd6da9faa58ce88749922666ad0e83496cd36fa5add

Observation 9a09e62b-3cca-43b3-a73e-28b301516e78 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Swin transformer: Hierarchical vision transformer using shifted windows

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:38.842678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:38.842678Z digest=sha256:1c11018a3f83b6a0fef339e02e75a603e434104b5d4c2d6c4f96d782c7a80808

Observation 3235eb35-5f7f-45ad-b03f-179fe671f3c7 · outbound

This paper cites an unresolved cited work.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:50.506755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:39.013664Z digest=sha256:3354a5ed1cc76e8115b50c8e39caa96146a4b9d7b5ebc4f131054e609a5f55a2

Observation 7af2c5ef-bc69-419e-9d23-f656a0fd6c0f · outbound

This paper cites LCM-LoRA: A Universal Stable-Diffusion Acceleration Module.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations LCM-LoRA: A Universal Stable-Diffusion Acceleration Module

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:39.086850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:39.086850Z digest=sha256:576b5f15365e15593ec840b0948d3fcc87e1b2176cf7e6fd911ab83dbfc5bfa4

Observation 4bf0503a-93ae-4adf-b74b-5297d03749c9 · outbound

This paper cites an unresolved cited work.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:39.166793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:39.166793Z digest=sha256:9055a27853db46c716999c87fa9570b5d8dab58e38fb4a3597a6386341b2014c

Observation 24fada84-8664-4d30-ab3e-eafea7df8048 · outbound

This paper cites A survey on lora of large language models.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations A survey on lora of large language models

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:50.394884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:39.241958Z digest=sha256:a79be47bc6674f1f9212dbd2415b626d42ec50da2afe147018391b179f39bdbb

Observation 3b470f97-977b-4278-9d27-fdb3af211d66 · outbound

This paper cites Comparing vision transformers and convolutional neural networks for image classification: A literature review.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Comparing vision transformers and convolutional neural networks for image classification: A literature review

Reference 58

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:39.319839Z digest=sha256:5a433386438145ddf2d0ad2c9bd7c46b85be791db40d43ad15cb05e8ba25e2ef

Observation c89738da-4258-4ddd-990d-e86d0dd14f76 · outbound

This paper cites R.-S., Parker, L., Ohana, R., Cranmer, M., Bietti, A., Eickenberg, M., Golkar, S., Krawezik, G., Lanusse, F., Pettee, M., Tesileanu, T., Cho, K., and Ho, S.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations R.-S., Parker, L., Ohana, R., Cranmer, M., Bietti, A., Eickenberg, M., Golkar, S., Krawezik, G., Lanusse, F., Pettee, M., Tesileanu, T., Cho, K., and Ho, S

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:50.249372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:39.416988Z digest=sha256:c2e1b21107e625cd84197040748cf8ea23cbc7c88085726232393a2dfe0e4e63

Observation c564810b-e95d-43a6-9880-5af6c965df3a · outbound

This paper cites T., Morel, R., Agocs, F.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations T., Morel, R., Agocs, F

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:50.088216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:39.494932Z digest=sha256:94d636fadee924f72b6becb04eabbada75571c954d838fdf53fb8b624e9978e7

Observation 9360e817-7773-4d4b-9c90-736cf45c9330 · outbound

This paper cites an unresolved cited work.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Unresolved cited work

Reference 61

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:39.602163Z digest=sha256:a06c0afb96db8455f7722eab11966616463ffbfae78e1484eb6c66d4cbd178e7

Observation 3db84a8b-0f1a-44dd-a14f-b27062f1c4d5 · outbound

This paper cites and Xie, S.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations and Xie, S

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:39.686840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:39.686840Z digest=sha256:7046036107a7cd0af92d3ac403a672b76d42c4896f420ec2111d1c76f3de61ee

Observation c81b2d80-522e-492d-8cf7-bf324101bf75 · outbound

This paper cites an unresolved cited work.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Unresolved cited work

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:39.783027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:39.783027Z digest=sha256:b6bb55e17601646a462383568b6dff938b52d145a28c01807a19884840698193

Observation 6a7af89c-f6f1-4217-b143-cbf4d5638f48 · outbound

This paper cites Improving language understanding by generative pre-training.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Improving language understanding by generative pre-training

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:49.919387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:39.880067Z digest=sha256:528ff34498137fda3b37dda8aa4c5032510faee83f362a5d22ecbb8bea299c66

Observation 2ff6230e-6aa1-4609-836c-ed8b3a1f80bb · outbound

This paper cites Language models are unsupervised multitask learners.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Language models are unsupervised multitask learners

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:39.949425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:39.949425Z digest=sha256:8d01d4dccca0c62f5c16c98c4afe8107809fe04bede46ffca728044262e9aa36

Observation ca4069e7-8b0b-49cf-9856-961624f5231f · outbound

This paper cites an unresolved cited work.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Unresolved cited work

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:40.097227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:40.097227Z digest=sha256:bd8103adbb17259131a254c73f56f3a914bce2ad63bf143970c7f7fd3e161724

Observation d04694ed-3617-498c-8e93-611081bfe200 · outbound

This paper cites an unresolved cited work.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:49.575589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:40.251727Z digest=sha256:2b6cb72a3dc7226c72f69ed1d1b43d7f9404667328946aaadacfc6481db915f9

Observation 2cc23912-102e-4dc4-8622-1756febba598 · outbound

This paper cites Comprehensive comparison between vision transformers and convolutional neural networks for face recognition tasks.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Comprehensive comparison between vision transformers and convolutional neural networks for face recognition tasks

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:49.076876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:40.426070Z digest=sha256:cebc3dae4bf112074822f288412be1ab8f3ddbb64ae58922dff2f1abc3ff2c33

Observation 9c28bf87-c5d1-4a67-9c8d-5d1572e95cb6 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations High-resolution image synthesis with latent diffusion models

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:40.556716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:40.556716Z digest=sha256:4ae89604fb55972147f0ba7c5df527103087a8632d6e801c3eb59ee72b3ab50e

Observation 8c8bbc9d-5244-4f97-acac-01b2055a1fa3 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations U-net: Convolutional networks for biomedical image segmentation

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:40.744693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:40.744693Z digest=sha256:06393172a618abb1f4e4920695720ea10d0f136ee93c6b56db96c478ff367656

Observation 7fa6f8a1-d3ee-4eb7-a636-10a97e4362b1 · outbound

This paper cites and MacArt, J.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations and MacArt, J

Reference 71

Resolution
verified exact
doi, observed 2026-08-07T12:35:44.132507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:40.930546Z digest=sha256:21a2af55b40c5787aec51742ed9cbf4bb2de12a95bb5cc4669d931a3afe73024

Observation 95f09c07-023b-4508-850f-fab89dd55ea8 · outbound

This paper cites an unresolved cited work.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:48.614233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:41.083167Z digest=sha256:5b2fe7556ed35e7e31dc34c8b57f8229b4bdae00e47fa88bff4eb13bf108fdf1

Observation b112a613-bb10-4be4-8c72-96868d9a8ba8 · outbound

This paper cites S., Hsu, Y., Zhang, L., Hua, T., Kira, Z., Shen, Y., and Jin, H.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations S., Hsu, Y., Zhang, L., Hua, T., Kira, Z., Shen, Y., and Jin, H

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:48.348420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:41.200573Z digest=sha256:ef9216880e008bbcdb7c08efc3139402160d1bdbeaa939b7b82ce29cf828e8b6

Observation 0189d148-e0a7-48f8-8fc2-4c56ac305ff0 · outbound

This paper cites W., and Gholami, A.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations W., and Gholami, A

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:48.040487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:41.297833Z digest=sha256:990883d338bf4fe9a07f97c9978c14e56470c7c361bbf7ee4f727017e51418e0

Observation 9ce936b8-4bea-4648-a92d-868bfbd74aa3 · outbound

This paper cites Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:41.437758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:41.437758Z digest=sha256:6f6ac1cff53240eb0a824e06e78794d285078bd4074e06c8bc732699899148f6

Observation 8b89eb27-8074-415a-9ed2-8c84da8386b2 · outbound

This paper cites Comparison of vision transformers and convolutional neural networks in medical image analysis: a systematic review.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Comparison of vision transformers and convolutional neural networks in medical image analysis: a systematic review

Reference 76

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4468dd17-5113-4a7c-8355-449a6753aeaa · outbound

This paper cites Learning neural PDE solvers with parameter-guided channel attention.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Learning neural PDE solvers with parameter-guided channel attention

Reference 77

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 21bceda4-1e8c-4b1e-b3ec-1e51a8c34ca7 · outbound

This paper cites Physics-based Deep Learning.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Physics-based Deep Learning

Reference 78

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7ed7f4b0-fe9f-4d29-a602-92d17bb9b876 · outbound

This paper cites U-dits: Downsample tokens in u-shaped diffusion transformers.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations U-dits: Downsample tokens in u-shaped diffusion transformers

Reference 79

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 603f74ad-08a5-4eca-a1b9-8403095aab4b · outbound

This paper cites R., Holl, P., and Thuerey, N.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations R., Holl, P., and Thuerey, N

Reference 80

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 57f2d0ee-f401-41fb-b1f7-dc9f77b4037b · outbound

This paper cites N., Kaiser, L., and Polosukhin, I.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations N., Kaiser, L., and Polosukhin, I

Reference 81

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:42.087656Z digest=sha256:c839eb793f916bcfecaa949dae55925464584d105efae462d65f6f7ee83733a0

Observation b102e4da-88ff-4e24-bc3e-4e63a6012f0f · outbound

This paper cites Mosaic flows: A transferable deep learning framework for solving pdes on unseen domains.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Mosaic flows: A transferable deep learning framework for solving pdes on unseen domains

Reference 82

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5db3dbbd-5b05-46b1-9ca9-5c21db5e3382 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Linformer: Self-Attention with Linear Complexity

Reference 83

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c5465e84-8a0f-48c9-bdfa-a982c577c779 · outbound

This paper cites Online-lora: Task-free online continual learning via low rank adaptation.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Online-lora: Task-free online continual learning via low rank adaptation

Reference 84

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 93507b97-4a11-4ebd-9cd2-19d2bdd41577 · outbound

This paper cites Continual Learning with Low Rank Adaptation.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Continual Learning with Low Rank Adaptation

Reference 85

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2f62622e-b545-43d6-9ea8-0ef395cc5bea · outbound

This paper cites Transolver: A fast transformer solver for pdes on general geometries.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Transolver: A fast transformer solver for pdes on general geometries

Reference 86

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:42.588114Z digest=sha256:d9be3d7c41c1cdc5307ffde21afca7195b2e765dbac2dc4c1b914be410f23f68

Observation d901f922-b800-4221-b56a-f4fa5ddbf6c4 · outbound

This paper cites an unresolved cited work.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Unresolved cited work

Reference 87

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2d2f93d8-66fa-4e73-8024-6e8cff9a519b · outbound

This paper cites Transfer learning enhanced deeponet for long-time prediction of evolution equations.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Transfer learning enhanced deeponet for long-time prediction of evolution equations

Reference 88

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:42.846446Z digest=sha256:c3b478425486e05820e64b235fb66859f557b46b41e0ff275d47c479f139a4e3

Observation 4fab2a57-58fe-4d16-ab60-5989a6967676 · outbound

This paper cites an unresolved cited work.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Unresolved cited work

Reference 89

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8344f32b-301e-4f38-bbc2-32c7b989ed41 · outbound

This paper cites Low-rank adaptation for foundation models: A comprehensive review, 2024.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Low-rank adaptation for foundation models: A comprehensive review, 2024

Reference 90

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:43.032044Z digest=sha256:90d94f0dff60059440a43de16860d8128f4dfc05e0e72846693078a77fd82557

Observation c3cd9246-9068-4d15-94b0-811c1f89e145 · outbound

This paper cites Foundation Models for Decision Making: Problems, Methods, and Opportunities.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 91

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:43.148867Z digest=sha256:786dad48b6d606eca3bf241617fa398ccb2efb8e07ec18ef68e1279e8e2f0e76

Observation 1606efa4-75a5-44fe-b35e-5ae89058e0f6 · outbound

This paper cites Florence: A New Foundation Model for Computer Vision.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Florence: A New Foundation Model for Computer Vision

Reference 92

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:43.244746Z digest=sha256:1b8b3299383760ab5e2ba1c314dfb2cb67a557e5e97d970d9d7d306402fa8236

Observation 4e7ac508-0c0b-477f-9ae3-bf28d6bb136f · outbound

This paper cites Parameter-efficient fine-tuning on large protein language models improves signal peptide prediction.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Parameter-efficient fine-tuning on large protein language models improves signal peptide prediction

Reference 93

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:43.359788Z digest=sha256:da8f118d8aca5d3716e6fa555fccb8bfbf0cedf361e334749ca5e2471ef069c4

Observation f3ae5744-bc64-47d4-aa87-d2d83c359914 · outbound

This paper cites and Lee, K.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations and Lee, K

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:46.249440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:43.433039Z digest=sha256:6cc829bde97cb0b2d37c6fad9337477efc9f2c8366cd28bf5861f45bf7365ce2

Observation e2026fb0-7c66-404d-8af6-65cb288ee770 · outbound

This paper cites and Sennrich, R.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations and Sennrich, R

Reference 95

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:43.517951Z digest=sha256:f2fa3d94b7a8a0bbdbc960a7bef5c05e0e73f00301491c39639d5fdac4b982b0

Observation 5a3247fb-189f-481a-a9e3-e91587e7df9d · outbound

This paper cites MATEY: multiscale adaptive foundation models for spatiotemporal physical systems.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations MATEY: multiscale adaptive foundation models for spatiotemporal physical systems

Reference 96

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:43.587308Z digest=sha256:8e3a959223a4cbfe3b55092757709dd21e889dedb37311b8797bdfc6dfa75269

Observation 04db0873-97dd-41f0-9b1a-4077e84b95c1 · outbound

This paper cites Fed-pilot: Optimizing LoRA Allocation for Efficient Federated Fine-Tuning with Heterogeneous Clients.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Fed-pilot: Optimizing LoRA Allocation for Efficient Federated Fine-Tuning with Heterogeneous Clients

Reference 97

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:43.708341Z digest=sha256:b8eea0d4f0b90ed02a3ac640be00977c60074278119952c3f560520af5cb707f

Pith citing papers

Observation 07ecbad9-087c-4bcf-82e2-4333f3ba2adc · inbound

TRIE: An Evaluation Framework for Stochastic PDE Surrogates cites this paper.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:47:18.921193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6fa27cef-2383-4fe9-ba41-82ddf40f3535 · inbound

Extending Fourier Neural Operators for Modeling Parameterized and Coupled PDEs cites this paper.

Extending Fourier Neural Operators for Modeling Parameterized and Coupled PDEs PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations

Reference 3

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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