PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations | Paper Citation Record

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This paper cites write newline.

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

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

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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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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

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

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

Reference 12

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

Reference 13

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

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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

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

Reference 17

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

Reference 22

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

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

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

Reference 25

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

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

Reference 30

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

Reference 31

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

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

Reference 33

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

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

Reference 39

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

Reference 40

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

Reference 41

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

Reference 42

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

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

Reference 44

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

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

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

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

Reference 51

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

Reference 52

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

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

Reference 57

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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

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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

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

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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

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

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Reference 61

Resolution: verified exact; doi, observed 2026-08-07T12:35:44.325140Z

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

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

Reference 62

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

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Reference 63

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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

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

Reference 65

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

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Reference 66

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

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Reference 67

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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

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

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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

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

Reference 70

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

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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

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

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Reference 72

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

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

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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

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

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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

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

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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

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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: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:47.829738Z

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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: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:47.643086Z

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

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

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:47.492072Z

Source-reported events for the cited work

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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: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:47.275244Z

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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: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:47.127551Z

Source-reported events for the cited work

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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: unresolved; no resolver link, observed 2026-08-07T12:35:42.087656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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; raw_fallback, observed 2026-08-07T12:35:46.947236Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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: unresolved; no resolver link, observed 2026-08-07T12:35:42.247080Z

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

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

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:42.339149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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; no resolver link, observed 2026-08-07T12:35:42.491282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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; raw_fallback, observed 2026-08-07T12:35:46.774889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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: unresolved; no resolver link, observed 2026-08-07T12:35:42.712069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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; raw_fallback, observed 2026-08-07T12:35:46.615875Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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; doi, observed 2026-08-07T12:35:43.879870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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: unresolved; no resolver link, observed 2026-08-07T12:35:43.032044Z

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Unavailable: canonical work link unavailable.

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; no resolver link, observed 2026-08-07T12:35:43.148867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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; no resolver link, observed 2026-08-07T12:35:43.244746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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; raw_fallback, observed 2026-08-07T12:35:46.431570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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; raw_fallback, observed 2026-08-07T12:35:46.064077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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; no resolver link, observed 2026-08-07T12:35:43.587308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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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; no resolver link, observed 2026-08-07T12:35:43.708341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Outbound references

Pith citing papers