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Paper Citation Record · LEDGER

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics

As of 10 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 5 inbound Pith citation observations for arXiv:2501.18972.

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

pith.paper-citation-record.v1
2501.18972 v2

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:55:53.144024Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:38:30.253398Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T07:34:42.655465Z

Reference resolution

63 of 63 outbound references displayed

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Outbound references

Observation 25203bba-9bba-45f7-80da-ffbb3d7d8557 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Observation 90e9a008-cdef-40a6-b340-91da9b326512 · outbound

This paper cites Phi-4 Technical Report.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Phi-4 Technical Report

Reference 2

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source=pdf_text observed=2026-08-09T21:55:52.191194Z digest=sha256:877b1edceef3091042a931ed7ffcd80f8b2902a6a2847990479a54ef50dd7305

Observation d7904b83-5da6-42f5-a38a-e89b3b80e909 · outbound

This paper cites GPT-4 Technical Report.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics GPT-4 Technical Report

Reference 3

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source=pdf_text observed=2026-08-09T21:55:52.197615Z digest=sha256:aa20a1240f124994378e1eba9ceed3b98b2ca397607e26ea6446984d675b9d5f

Observation 90b4c344-4ed6-4df5-8561-a80de9ae8770 · outbound

This paper cites Is space-time attention all you need for video understanding? InICML, volume 2, page 4, 2021.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Is space-time attention all you need for video understanding? InICML, volume 2, page 4, 2021

Reference 4

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source=pdf_text observed=2026-08-09T21:55:52.208165Z digest=sha256:fd1d7dd6fd3e5fbcf3c35354c72b5bf6c0cf618223f2be9baeedcb80fb798ac7

Observation 3d818a50-96b0-4409-a625-f42938d3444b · outbound

This paper cites A Foundation Model for the Earth System.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics A Foundation Model for the Earth System

Reference 5

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source=pdf_text observed=2026-08-09T21:55:52.215633Z digest=sha256:68b1a4e0f611f756c65ee5364cd33f9fcf9de34daf2dd2ce6f8c8e534cf55277

Observation 37aecba0-8ec5-41c9-98b2-aa9e59f371fa · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics On the Opportunities and Risks of Foundation Models

Reference 6

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Observation b17e94b0-f049-4e7d-9c19-945827b3eb9f · outbound

This paper cites Video generation models as world simulators, 2024.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Video generation models as world simulators, 2024

Reference 7

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source=pdf_text observed=2026-08-09T21:55:52.303980Z digest=sha256:f2f84149da71961447f6509f21f1c6c9170205a7423ef8c7eeac406e9d7b3ff3

Observation 40a7615f-4938-425a-b4ba-7be178905628 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877– 1901, 2020.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Language models are few-shot learners.Advances in neural information processing systems, 33:1877– 1901, 2020

Reference 8

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source=pdf_text observed=2026-08-09T21:55:52.394976Z digest=sha256:b38a1f85503efb3d2d8084c4e0d8f536dfd300837d2b7b7af900af89b00d257f

Observation 11b4494f-d2ec-483c-a239-0b28a2efc2d6 · outbound

This paper cites Vicon: Vision in-context operator networks for multi-physics fluid dynamics prediction.arXiv preprint arXiv:2411.16063, 2024.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Vicon: Vision in-context operator networks for multi-physics fluid dynamics prediction.arXiv preprint arXiv:2411.16063, 2024

Reference 9

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source=pdf_text observed=2026-08-09T21:55:52.410908Z digest=sha256:3ba3b863f5457d4dd7ad53960028b47b4c74d0d27602822bc570776ca0817901

Observation 3543de33-41a1-4dac-9c73-338bbaed44f8 · outbound

This paper cites LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters

Reference 10

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source=pdf_text observed=2026-08-09T21:55:52.417582Z digest=sha256:6a27d88fb5cc90d7f34f555985efd5c7d2d5c10be70a4a0f9896c2df9fa19d5c

Observation e9b9eddb-f433-4e76-a93a-b50da08c84d0 · outbound

This paper cites Generative pretraining from pixels.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Generative pretraining from pixels

Reference 11

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Observation 9f813bed-b38a-4d76-bd61-04144c0e693a · outbound

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

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics An image is worth 16x16 words: Transformers for image recognition at scale

Reference 12

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source=pdf_text observed=2026-08-09T21:55:52.429360Z digest=sha256:e69e936099637f97791aa82e7bbaf297280bbb6a5499831785d70dcdf3f8d456

Observation d69010e3-7f2d-4839-8ca5-443961d317c9 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.ICLR, 2021.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics An image is worth 16x16 words: Transformers for image recognition at scale.ICLR, 2021

Reference 13

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Observation 6f68dc8e-cc59-4523-8ff5-52d1f3b38ba7 · outbound

This paper cites The Llama 3 Herd of Models.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics The Llama 3 Herd of Models

Reference 14

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Observation 528c6548-0839-4fbc-912c-3a55a206b301 · outbound

This paper cites Large language models are zero-shot time series forecasters.Advances in Neural Information Processing Systems, 36, 2024.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Large language models are zero-shot time series forecasters.Advances in Neural Information Processing Systems, 36, 2024

Reference 15

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source=pdf_text observed=2026-08-09T21:55:52.444241Z digest=sha256:5ea4c9d7ac491ad3ca3e8165522d41f6a812c8514bac66f4074d63905e5d075d

Observation 41e0fe6c-30d6-405b-b4b1-6114e859d2b9 · outbound

This paper cites Towards Multi-spatiotemporal-scale Generalized PDE Modeling.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Reference 16

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Observation 8e9907eb-1df2-4828-b78e-497241b1ff6d · outbound

This paper cites DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 17

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Observation bc0d3e90-06e0-47ba-b890-b80674693fdf · outbound

This paper cites Query-Key Normalization for Transformers.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Query-Key Normalization for Transformers

Reference 18

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Observation e9dd6e1b-efef-441f-b8d4-cb81142a488c · outbound

This paper cites Poseidon: Efficient Foundation Models for PDEs.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Poseidon: Efficient Foundation Models for PDEs

Reference 19

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source=pdf_text observed=2026-08-09T21:55:52.464949Z digest=sha256:24564e3dd3eed473675f8635e2741ef18026e679835b9b73222c87a4fe21248e

Observation b6780e3d-14a4-46ab-85dd-c836b3655e13 · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

Reference 20

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Observation 194d7850-8311-4820-99d3-d46c01d299c6 · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 21

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Observation 4ae653d9-9236-4d70-a6d3-d987248e0f7b · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 22

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source=pdf_text observed=2026-08-09T21:55:52.480954Z digest=sha256:adebf86d79ed4612cf643768eb0fceee4fa550479dcc9b5ec49c36432f34e46a

Observation bedc703d-e380-4ec8-8618-e46144769f18 · outbound

This paper cites Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation Model.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation Model

Reference 23

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source=pdf_text observed=2026-08-09T21:55:52.488028Z digest=sha256:b682944e788bf24e578bc7dafe0542a96c4062e97673aabd0343f1fbfdc6d3ce

Observation 3aab4be7-c624-4a16-89d8-c9baae15202e · outbound

This paper cites Muon: An optimizer for hidden layers in neural networks, 2024.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Muon: An optimizer for hidden layers in neural networks, 2024

Reference 24

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Observation 6113e442-f7e7-4472-a78c-aa9113b09829 · outbound

This paper cites Transformer for Partial Differential Equations' Operator Learning.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Transformer for Partial Differential Equations' Operator Learning

Reference 25

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source=pdf_text observed=2026-08-09T21:55:52.500577Z digest=sha256:a0d754696ab26c66c614194c8cfd52b4025ddca06a05f0e95229d903360a0cb7

Observation ee330250-5ac2-488a-8c4c-02d891726651 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Fourier Neural Operator for Parametric Partial Differential Equations

Reference 26

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Observation 48c925f2-2d09-4837-8de7-9f8eca991b2b · outbound

This paper cites Muon is Scalable for LLM Training.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Muon is Scalable for LLM Training

Reference 27

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source=pdf_text observed=2026-08-09T21:55:52.512320Z digest=sha256:f1ccfc20ff63efd52c79062032596995b1f009b42521b0124765001eae58bc31

Observation d43094b9-c251-498a-890a-bd62346f1c3a · outbound

This paper cites How Can Large Language Models Understand Spatial-Temporal Data?.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics How Can Large Language Models Understand Spatial-Temporal Data?

Reference 28

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Observation 7440e487-37f4-4650-9c4e-2b4f1c76eea8 · outbound

This paper cites Gated Transformer Networks for Multivariate Time Series Classification.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Gated Transformer Networks for Multivariate Time Series Classification

Reference 29

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source=pdf_text observed=2026-08-09T21:55:52.579668Z digest=sha256:c41fa8f2af463a831cc8acba134eabcf99455427941af48f744f137d0fd79d29

Observation 27120485-e7d5-40d6-8382-632f6a16a1dd · outbound

This paper cites PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics

Reference 30

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source=pdf_text observed=2026-08-09T21:55:52.608138Z digest=sha256:917434dab8327aca37fdcd06338c7a07c3122b77b23724c8e0beaaef61f4a534

Observation f4379778-7968-451d-9ce2-478132934e3b · outbound

This paper cites Prose: Predicting multiple operators and symbolic expressions using multimodal transformers.Neural Networks, 180:106707, 2024.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Prose: Predicting multiple operators and symbolic expressions using multimodal transformers.Neural Networks, 180:106707, 2024

Reference 31

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source=pdf_text observed=2026-08-09T21:55:52.637175Z digest=sha256:9a83af241703e30d777306a6396b6c47cfc907b7d3ac922c9c382e22719b4e44

Observation 07af95f6-2a01-4edd-8c76-eb10eda216d2 · outbound

This paper cites Decoupled weight decay regularization.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Decoupled weight decay regularization

Reference 32

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source=pdf_text observed=2026-08-09T21:55:52.665491Z digest=sha256:4584f9993dfc0432d4858b8a293bbd7ea08f089754b01fa736c7d0f7006dc2d4

Observation fd3dce07-8e4d-479c-98de-457eeaff86a0 · outbound

This paper cites DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

Reference 33

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source=pdf_text observed=2026-08-09T21:55:52.724207Z digest=sha256:915838f670b7cba8a0c71efa3aadcc0f616913d974615be39788e718d924c75d

Observation 28a1c033-30d0-4b3f-9d34-a619838e0bf0 · outbound

This paper cites CFDBench: A Large-Scale Benchmark for Machine Learning Methods in Fluid Dynamics.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics CFDBench: A Large-Scale Benchmark for Machine Learning Methods in Fluid Dynamics

Reference 34

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source=pdf_text observed=2026-08-09T21:55:52.742504Z digest=sha256:1686a93f6b3e0acef58c04f149efbeb5811b509bd3b83c64760b331e8bfe3273

Observation 327b89b8-2919-4c97-9f59-762adfcbb6c9 · outbound

This paper cites Multiple Physics Pretraining for Physical Surrogate Models.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Multiple Physics Pretraining for Physical Surrogate Models

Reference 35

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source=pdf_text observed=2026-08-09T21:55:52.748491Z digest=sha256:32f773c854c6bc98aa695bf684fe0cf7ff14b03b4b1da209cf041691979eebcd

Observation 6f1ecc82-d67a-4525-a3a2-f8bc0d7ec89f · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 36

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source=pdf_text observed=2026-08-09T21:55:52.755722Z digest=sha256:f7d8f3f866a171aacc3cd002be848dcb9de13fd62f2fa439f670a1a2ad6830e8

Observation b6021aad-ce81-47ea-9ce3-9c95651cb88c · outbound

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

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Improving language understanding by generative pre-training

Reference 37

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source=pdf_text observed=2026-08-09T21:55:52.761054Z digest=sha256:1bcc35dca6ca24535747dfb8ca499f55d11d17764669f3eefc590b4323c7ecbc

Observation cd35e63e-c9c7-41cb-baa0-93dd6cd56eea · outbound

This paper cites Language models are unsupervised multitask learners.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Language models are unsupervised multitask learners

Reference 38

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source=pdf_text observed=2026-08-09T21:55:52.766104Z digest=sha256:2e69090ca62670022e511c254ada7c5cef6c3ebd39fc12a86fb89486d7bf4556

Observation 01d95ebe-3669-4de6-a1eb-81c5163f75e1 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 39

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source=pdf_text observed=2026-08-09T21:55:52.771155Z digest=sha256:5aa695e607ad82550cdea44f5f14ef8d11ca8ddddae592bf66ae281f0f6d90d7

Observation 8d3a93c3-306a-4c94-93db-b8aececc0fc6 · outbound

This paper cites Zero-shot text-to-image generation.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Zero-shot text-to-image generation

Reference 40

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:55:52.777602Z digest=sha256:6a97c11502dd83512bd5c0e4c16dbe99b4ba7eea87a2d7a7e009926bd218a341

Observation 89fa596e-2e3d-4ca1-b310-397e0c71a3e5 · outbound

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

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics High-resolution image synthesis with latent diffusion models

Reference 41

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source=pdf_text observed=2026-08-09T21:55:52.782987Z digest=sha256:a8ac1e46a6e763ca9a7407e230aadcdbef10c083b692158fe0d47623b97f3652

Observation e5f84951-7359-47ff-857e-3526b112930a · outbound

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

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics U-net: Convolutional networks for biomedical image segmentation

Reference 42

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source=pdf_text observed=2026-08-09T21:55:52.788124Z digest=sha256:aa66f0d59dc1a8ffcdc731f16c86ba270e4f98b881fafaa228a1faf27f25d511

Observation abd4f8a7-72dd-470b-bb9a-a8c0d1ffaca5 · outbound

This paper cites Iterative berechung der reziproken matrix.ZAMM-Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, 13(1):57– 59, 1933.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Iterative berechung der reziproken matrix.ZAMM-Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, 13(1):57– 59, 1933

Reference 43

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raw_fallback, observed 2026-08-09T21:55:54.193792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:55:52.793933Z digest=sha256:5d2de56f3a9b33566f03ae6e1efa7bb6161fb599fcff436867fc4cda796f27af

Observation 46c96967-cdfd-454d-b05a-a0c6de76bbed · outbound

This paper cites GLU Variants Improve Transformer.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics GLU Variants Improve Transformer

Reference 44

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source=pdf_text observed=2026-08-09T21:55:52.799868Z digest=sha256:c07a5a613a5788be7391cb51abe5890c8f5bc76428c8194afe0cf00c2915d628

Observation 1cac665d-83c9-4be7-ab1d-a1716e03513b · outbound

This paper cites Towards foundation models for scientific machine learning: Characterizing scaling and transfer behavior.Advances in Neural Information Processing Systems, 36, 2024.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Towards foundation models for scientific machine learning: Characterizing scaling and transfer behavior.Advances in Neural Information Processing Systems, 36, 2024

Reference 45

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raw_fallback, observed 2026-08-09T21:55:54.175435Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:55:52.805468Z digest=sha256:2339436cc8d7853820d57eda113b987427aa6170dd9b3d7f84569806526da7d4

Observation 17bee5b5-5b8f-4a90-ac64-a47402c72178 · outbound

This paper cites Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and Extrapolation.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and Extrapolation

Reference 46

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source=pdf_text observed=2026-08-09T21:55:52.810222Z digest=sha256:51bd067cae45f7968a128457d83a5069db1e89c8bc547e00c4b3916fb83c50a6

Observation 6189a8de-a12e-4f18-b70d-b6ba10ccfd0c · outbound

This paper cites LeMON: Learning to Learn Multi-Operator Networks.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics LeMON: Learning to Learn Multi-Operator Networks

Reference 47

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source=pdf_text observed=2026-08-09T21:55:52.819588Z digest=sha256:5dbdfa8acb543b538ba8b58fe7ca5dc32d9f2d3f2b6a2a2acc22877480d0a020

Observation 8a166520-6b46-4cb1-ab16-d4d864621422 · outbound

This paper cites Pdebench: An extensive benchmark for scientific machine learning.Advances in Neural Information Processing Systems, 35:1596–1611, 2022.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Pdebench: An extensive benchmark for scientific machine learning.Advances in Neural Information Processing Systems, 35:1596–1611, 2022

Reference 48

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source=pdf_text observed=2026-08-09T21:55:52.827180Z digest=sha256:f049b0113675080cfb857b021e3612dd846de02b12b05c6acc65493496db1439

Observation 4f82f4cd-b1dd-4cc6-825a-5c1487da2b43 · outbound

This paper cites Are language models actually useful for time series forecasting? InThe Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Are language models actually useful for time series forecasting? InThe Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024

Reference 49

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raw_fallback, observed 2026-08-09T21:55:54.146917Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:55:52.833003Z digest=sha256:26270afa7b8530878ef2198c4e12a6f863646a69c947815b6aca916652e5fb28

Observation 595ea753-b140-4a76-b616-c36d49536aaf · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Gemma 2: Improving Open Language Models at a Practical Size

Reference 50

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source=pdf_text observed=2026-08-09T21:55:52.838659Z digest=sha256:e97e72852c5659575081d24b419372b4486efbf9e048a10b2e8c3d814177cb68

Observation cb9adb02-a286-4f34-bbbc-87d51055f4d2 · outbound

This paper cites Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Reference 51

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source=pdf_text observed=2026-08-09T21:55:52.844188Z digest=sha256:84f23d26f683652b594420f2703b67702e370b0165a1783aa30ab6b2a48a2364

Observation 6c6147b2-8ad5-4918-9fe9-bad523fdb315 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics LLaMA: Open and Efficient Foundation Language Models

Reference 52

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source=pdf_text observed=2026-08-09T21:55:52.849570Z digest=sha256:b68a2331e2776a13b7beadf9b14a533c046125c7cfc1fe6ba6b902f88ada5387

Observation 32d15955-1957-4784-9069-4ca5aa8ee93a · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 53

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source=pdf_text observed=2026-08-09T21:55:52.861437Z digest=sha256:75e939f5c066d0aba22afd8669ebee896eab86afc05a8570da27ca07521656f7

Observation c9a8fe17-d274-4cbc-ae53-55349e8926b7 · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 54

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source=pdf_text observed=2026-08-09T21:55:52.893831Z digest=sha256:e0fc1f525134e852787b407156d4aebdfedfaedcc066d77a3809a4b68fb08d61

Observation bf45c167-ccad-4402-88d0-019d0ef9f345 · outbound

This paper cites Scaling laws in patchification: An image is worth 50,176 tokens and more.arXiv preprint arXiv:2502.03738, 2025.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Scaling laws in patchification: An image is worth 50,176 tokens and more.arXiv preprint arXiv:2502.03738, 2025

Reference 55

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source=pdf_text observed=2026-08-09T21:55:52.920955Z digest=sha256:b39febf94e202b2fc8b9c298068dc0aad4ff80758850917acbbdfe4c7a56581d

Observation 8c10d2b8-f2a7-4b4e-a719-d4a7a50ddb15 · outbound

This paper cites Transolver: A Fast Transformer Solver for PDEs on General Geometries.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Transolver: A Fast Transformer Solver for PDEs on General Geometries

Reference 56

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source=pdf_text observed=2026-08-09T21:55:52.953797Z digest=sha256:9681190325becd0771087c3eee23920f17fd41fdcf2d4c37017f0dd0393a6a73

Observation e96232a6-32d9-4010-a561-c9d25d43b1b7 · outbound

This paper cites Qwen2.5 Technical Report.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Qwen2.5 Technical Report

Reference 57

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source=pdf_text observed=2026-08-09T21:55:52.982539Z digest=sha256:cf20041645b98f192ad9c42a6f39cf8bfb04ae81929b3ce9372b12fbf506a376

Observation d62dfebf-87f2-441a-9fa6-8abed190a9be · outbound

This paper cites In-context operator learning with data prompts for differential equation problems.Proceedings of the National Academy of Sciences, 120(39):e2310142120, 2023.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics In-context operator learning with data prompts for differential equation problems.Proceedings of the National Academy of Sciences, 120(39):e2310142120, 2023

Reference 58

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source=pdf_text observed=2026-08-09T21:55:53.013220Z digest=sha256:ea993c256b0df79c3157429ce32f8452aba3bb2d9ceb70c6210eea0411aefa64

Observation b79a0d8e-9013-4948-b717-76e6e88e49ed · outbound

This paper cites Fine-Tune Language Models as Multi-Modal Differential Equation Solvers.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Fine-Tune Language Models as Multi-Modal Differential Equation Solvers

Reference 59

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source=pdf_text observed=2026-08-09T21:55:53.054900Z digest=sha256:8900051607cead7ba986e6324b18694ce37c7c9343ddc110437a505a510334c7

Observation 2219d34e-15a2-40eb-baba-46129ee9ae70 · outbound

This paper cites PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws

Reference 60

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source=pdf_text observed=2026-08-09T21:55:53.094170Z digest=sha256:a1d13fe1f4de00b012ff6dad79023e3134e82033fc0394ccd912c1c4278549cc

Observation d70bfb50-363f-48ab-b0d6-ee817e2f391c · outbound

This paper cites Root mean square layer normalization.Advances in Neural Information Processing Systems, 32, 2019.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Root mean square layer normalization.Advances in Neural Information Processing Systems, 32, 2019

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source=pdf_text observed=2026-08-09T21:55:53.132924Z digest=sha256:d8e45a321f82101da00948b7803d72f32ea6f3ccf0651c7f4b37e2d832647bf3

Observation fe333894-cb55-47a4-a55e-c9e366d14407 · outbound

This paper cites DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuning.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuning

Reference 62

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local_arxiv, observed 2026-08-09T21:55:53.215329Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:55:53.138650Z digest=sha256:b5a924200d0174606bc967a46dc72b421a852f172a830e278d5a90f5afeb359e

Observation 117c9d91-24aa-46a0-857e-b8a2c43cdaa5 · outbound

This paper cites Can LLMs Understand Time Series Anomalies?.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Can LLMs Understand Time Series Anomalies?

Reference 63

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source=pdf_text observed=2026-08-09T21:55:53.144024Z digest=sha256:a983e1f4dec597783b7891d2080c82db14ffbb557457ec1097a9897464efcf76

Pith citing papers

Observation bdf2cbbf-c642-4836-808a-68ecc2caf6b7 · inbound

PDEformer-2: A Versatile Foundation Model for Two-Dimensional Partial Differential Equations cites this paper.

PDEformer-2: A Versatile Foundation Model for Two-Dimensional Partial Differential Equations BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics

Reference 20

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source=pdf_text observed=2026-08-06T15:38:30.253398Z digest=sha256:cdc742910ab5e985b0bbcb82325af8f95fe56e19e1a3f8da56197a6fb04a655f

Observation c489225e-4439-439e-935e-4a6065b92eda · inbound

Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations cites this paper.

Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics

Reference 10

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source=pdf_text observed=2026-08-05T05:33:52.877622Z digest=sha256:53be80919b597d3373814b161f740a8f6a5b4e47279912554c317293428948a6

Observation a71df48b-6423-47b8-a337-e7a0cb57f4cf · inbound

CompNO: A Novel Foundation Model approach for solving Partial Differential Equations cites this paper.

CompNO: A Novel Foundation Model approach for solving Partial Differential Equations BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics

Reference 24

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arxiv_id, observed 2026-05-16T14:53:00.522248Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T14:51:57.796868Z digest=sha256:d02ab42015accd719f3be1712477e27b4866a83d5ed248ec442af7c083c37b8d

Observation 169e5db6-09fb-446a-9c7b-340943c91ad1 · inbound

Continuous Latent Diffusion Language Model cites this paper.

Continuous Latent Diffusion Language Model BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics

Reference 57

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arxiv_id, observed 2026-05-11T20:11:10.830066Z

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source=pdf_text observed=2026-05-08T10:04:09.646578Z digest=sha256:831382f1c1b8a2054f2bf727e1edc065e3c9feeaf45732399f764065d9625cf6

Observation 2d8266b6-3e8a-4ef2-9cd5-1e439fa15e66 · inbound

Multiple Neural Operators Achieve Near-Optimal Rates for Multi-Task Learning cites this paper.

Multiple Neural Operators Achieve Near-Optimal Rates for Multi-Task Learning BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics

Reference 33

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arxiv_id, observed 2026-05-22T07:34:42.659088Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T07:32:11.942427Z digest=sha256:86af1a543ede882ec46e3f099e42685109fec459dac4d77e672f7eb190bc625c