Paper Citation Record · LEDGER

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows

As of 19 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2607.22280.

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

pith.paper-citation-record.v1
2607.22280 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:18:02.343513Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

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External citation measurements

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Outbound references

Observation 34fcc21f-b2ed-40d0-984e-45e076218920 · outbound

This paper cites Advances in neural information processing systems , volume =.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Advances in neural information processing systems , volume =

Reference 1

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Observation b8f36590-f774-4418-a4fe-2a7587732918 · outbound

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

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Reference 2

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Observation a7193b17-aad6-4ee2-ac54-e41a3dc3238b · outbound

This paper cites BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning

Reference 3

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Observation 1b9bdc8d-8b5a-4ea7-b67b-a1e0dbf9deb7 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year =.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year =

Reference 4

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Observation f1eb483c-c883-4745-91a8-26afa5cf7608 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Advances in Neural Information Processing Systems , volume =

Reference 5

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Observation ca08a420-d764-45ae-94a6-616a3b086eb7 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Advances in Neural Information Processing Systems , volume =

Reference 6

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Observation af1e215c-1a79-4776-b2c3-ccc87324c825 · outbound

This paper cites arXiv preprint arXiv:2601.01829 , year =.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows arXiv preprint arXiv:2601.01829 , year =

Reference 7

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Observation d7e165e7-fa7b-4b82-876b-02aa73a58766 · outbound

This paper cites arXiv preprint arXiv:2512.18595 , year =.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows arXiv preprint arXiv:2512.18595 , year =

Reference 8

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Observation e934ad5b-a66c-4e65-bbb3-0231dc369f83 · outbound

This paper cites Journal of Machine Learning Research , volume =.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Journal of Machine Learning Research , volume =

Reference 9

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Observation be0673b9-0045-4dd8-bad3-859cdec52dbb · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Advances in Neural Information Processing Systems , volume =

Reference 10

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Observation e0b1f366-9ad3-48e9-b95f-81d8e634731b · outbound

This paper cites International conference on machine learning , pages =.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows International conference on machine learning , pages =

Reference 11

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Observation 4982cda2-44bb-4bf0-ae97-9410108d20c8 · outbound

This paper cites Message Passing Neural PDE Solvers.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Message Passing Neural PDE Solvers

Reference 12

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Observation 9d9b9a37-9b20-4ebb-9236-501f7b30236b · outbound

This paper cites International Conference on Machine Learning , pages =.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows International Conference on Machine Learning , pages =

Reference 13

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Observation b320dc65-aae0-494a-b67d-9cf13beae7d1 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Advances in Neural Information Processing Systems , volume =

Reference 14

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Observation 35773564-b9d3-43b6-9a11-684c553b7a66 · outbound

This paper cites ICLR 2023 workshop on physics for machine learning , year =.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows ICLR 2023 workshop on physics for machine learning , year =

Reference 15

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Observation 96fc518f-3aa8-4a1a-bda5-ac30a374e097 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages =.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages =

Reference 16

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Observation 3977b05f-3351-4390-b88e-96f1eea456b6 · outbound

This paper cites Factorized Fourier Neural Operators.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Factorized Fourier Neural Operators

Reference 17

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Observation 8658d783-50f1-43a4-a3e7-69803fc2c1ae · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Advances in Neural Information Processing Systems , volume =

Reference 18

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Observation 98f77cd6-4304-423d-a979-b4ef0b12eb56 · outbound

This paper cites 2022 IEEE , author =.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows 2022 IEEE , author =

Reference 19

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Observation 2d82fd58-3991-42e7-bd5c-d3ba235f75c6 · outbound

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

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 20

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Observation 6e198d9e-9b4b-4d90-b61a-71bb94724ea3 · outbound

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows 2019 , url =

Reference 21

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows 2024 , eprint =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows 2024 , eprint =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows 2022 , eprint =

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Observation 889fa058-1276-4809-9284-4f17b080cbe5 · outbound

This paper cites Understanding SSIM.

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Understanding SSIM

Reference 25

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Observation cf0da836-a86d-45ca-b65d-d354db7b0567 · outbound

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows IEEE Access , volume =

Reference 26

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks

Reference 28

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Observation 59066735-df54-46af-ba33-93f74663344d · outbound

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

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Computer Methods in Applied Mechanics and Engineering , volume =

Reference 29

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Unresolved cited work

Reference 30

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

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Physics-Informed Neural Operator for Learning Partial Differential Equations

Reference 31

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Sobolev Training for Operator Learning

Reference 32

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Manufacturing Letters , volume =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Journal of Computational Physics , volume =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Computer Physics Communications , volume =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Physics of Fluids , volume =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Physics of fluids , volume =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows 11th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2019 , year =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Journal of Fluid Mechanics , volume =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Journal of Computational Physics , volume =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Journal of Fluid Mechanics , volume =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows 2012 , publisher =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Marine environmental research , volume =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows 2017 , publisher =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Layer Normalization

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows In Proceedings of the AAAI Conference on Artificial Intelligence , year =

Reference 47

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows 2013 , publisher =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Journal of computational physics , volume =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Journal of computational physics , volume =

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Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows Mathematics of computation , volume =

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Pith citing papers

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