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Paper Citation Record · LEDGER

Neural Operator: Learning Maps Between Function Spaces

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2108.08481.

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

pith.paper-citation-record.v1
2108.08481 v6

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measured 0 of 0 reference resolution

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measured 41 of 41 standing notices

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

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:46:28.133504Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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External citation measurements

79
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e72c7a0d-9d01-426e-a4f8-c48d40eaea2a · inbound

Generative diffusion learning for parametric partial differential equations cites this paper.

Generative diffusion learning for parametric partial differential equations Neural Operator: Learning Maps Between Function Spaces

Reference 12

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arxiv_id, observed 2026-05-24T09:09:15.695837Z

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No event found in the named queried sources as of 2026-08-08T07:38:14.145609+00:00.

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Observation 0ae81296-4958-4e52-ab45-b4575f810be2 · inbound

Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning cites this paper.

Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning Neural Operator: Learning Maps Between Function Spaces

Reference 22

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arxiv_id, observed 2026-05-23T23:13:37.081139Z

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Observation 7cab24c7-16be-49bc-9f95-99cf82168681 · inbound

A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs cites this paper.

A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs Neural Operator: Learning Maps Between Function Spaces

Reference 36

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Observation dfbca8f4-6bc6-4071-9c2e-12703dbca6e0 · inbound

Phi-FEM-FNO: a new approach to train a Neural Operator as a fast PDE solver for variable geometries cites this paper.

Phi-FEM-FNO: a new approach to train a Neural Operator as a fast PDE solver for variable geometries Neural Operator: Learning Maps Between Function Spaces

Reference 15

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source=pdf_text observed=2026-08-07T19:43:57.768053Z digest=sha256:0fd5f7baf121278a34c6e2c2e8f9841f377b4e6c4ccab06d6f1b9e90489778ba

Observation acbca17f-c801-41da-9363-28ec9c5468e0 · inbound

Teaching Artificial Intelligence to Perform Rapid, Resolution-Invariant Grain Growth Modeling via Fourier Neural Operator cites this paper.

Teaching Artificial Intelligence to Perform Rapid, Resolution-Invariant Grain Growth Modeling via Fourier Neural Operator Neural Operator: Learning Maps Between Function Spaces

Reference 66

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arxiv_id, observed 2026-05-22T23:52:16.918861Z

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source=pdf_text observed=2026-05-22T23:51:39.466995Z digest=sha256:3736ba3a01d82971e36b125b9fe15b13bfabd953019f8818dfc805e8a0e50933

Observation 453965a8-81c8-44cf-be95-625fdf05be59 · inbound

A Unified Framework for Simultaneous Parameter and Function Discovery in Differential Equations cites this paper.

A Unified Framework for Simultaneous Parameter and Function Discovery in Differential Equations Neural Operator: Learning Maps Between Function Spaces

Reference 7

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Observation 95b9b567-a5ad-49dd-82f2-e8c218a29413 · inbound

Latent Mamba Operator for Partial Differential Equations cites this paper.

Latent Mamba Operator for Partial Differential Equations Neural Operator: Learning Maps Between Function Spaces

Reference 15

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source=pdf_text observed=2026-08-07T14:24:44.047914Z digest=sha256:fd822050943ab7e980390d8f68b778eff3a9a70d6b88ef15d9bc0406b0d62105

Observation 54e62085-dc27-4f66-acea-0011bc21ed95 · inbound

Neural Operators for Forward and Inverse Potential-Density Mappings in Classical Density Functional Theory cites this paper.

Neural Operators for Forward and Inverse Potential-Density Mappings in Classical Density Functional Theory Neural Operator: Learning Maps Between Function Spaces

Reference 53

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source=arxiv_source observed=2026-08-07T06:01:41.912814Z digest=sha256:6e28282376de799936fa3371110afa3fc424a8a51cdafa9a1b8c28097531f7c3

Observation e5c31bbc-cb84-4d4c-bd11-e1cc523fddc2 · inbound

Mondrian: Transformer Operators via Domain Decomposition cites this paper.

Mondrian: Transformer Operators via Domain Decomposition Neural Operator: Learning Maps Between Function Spaces

Reference 33

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Observation 73678889-47ce-4b6e-8979-01cbe0406b2d · inbound

Accurate and scalable exchange-correlation with deep learning cites this paper.

Accurate and scalable exchange-correlation with deep learning Neural Operator: Learning Maps Between Function Spaces

Reference 54

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arxiv_id, observed 2026-05-19T09:07:13.947633Z

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Observation 1b4e4631-634c-431a-842d-0a1d3ee9410c · inbound

Automatic discovery of optimal meta-solvers for time-dependent nonlinear PDEs cites this paper.

Automatic discovery of optimal meta-solvers for time-dependent nonlinear PDEs Neural Operator: Learning Maps Between Function Spaces

Reference 18

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source=arxiv_source observed=2026-08-06T21:26:34.338031Z digest=sha256:ccb8a2c7b9013fcad1914b8b48bee1d426953e0facfdf5556c60afb355d6d4a1

Observation ec2973c2-c63c-4f23-9b75-8f9b6b9383ce · inbound

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction cites this paper.

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction Neural Operator: Learning Maps Between Function Spaces

Reference 10

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Observation f8f7839d-69f0-40d9-8b1c-623ea2dbd3a6 · inbound

Time Series Forecasting Through the Lens of Dynamics cites this paper.

Time Series Forecasting Through the Lens of Dynamics Neural Operator: Learning Maps Between Function Spaces

Reference 20

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arxiv_id, observed 2026-05-19T03:32:01.331749Z

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Observation fb6952aa-d2cb-4603-aeb7-5aadff637db4 · inbound

Bubbleformer: Forecasting Boiling with Transformers cites this paper.

Bubbleformer: Forecasting Boiling with Transformers Neural Operator: Learning Maps Between Function Spaces

Reference 33

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Observation 017054dd-9e09-4ec1-9fee-928057c78a5e · inbound

Toward Intelligent Electronic-Photonic Design Automation for Large-Scale Photonic Integrated Circuits: from Device Inverse Design to Physical Layout Generation cites this paper.

Toward Intelligent Electronic-Photonic Design Automation for Large-Scale Photonic Integrated Circuits: from Device Inverse Design to Physical Layout Generation Neural Operator: Learning Maps Between Function Spaces

Reference 13

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Observation d5771126-6644-43fc-86bd-7a27543f2f80 · inbound

Temperature-Aware Recurrent Neural Operator for Temperature-Dependent Anisotropic Plasticity in HCP Materials cites this paper.

Temperature-Aware Recurrent Neural Operator for Temperature-Dependent Anisotropic Plasticity in HCP Materials Neural Operator: Learning Maps Between Function Spaces

Reference 60

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Observation 70de1d89-488e-413b-9b55-ae4160e23cfc · inbound

Matrix-free Neural Preconditioner for the Dirac Operator in Lattice Gauge Theory cites this paper.

Matrix-free Neural Preconditioner for the Dirac Operator in Lattice Gauge Theory Neural Operator: Learning Maps Between Function Spaces

Reference 51

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Observation d1e7a98a-a8c9-440d-a8da-dc8925ea71c5 · inbound

Flow Straight and Fast in Hilbert Space: Functional Rectified Flow cites this paper.

Flow Straight and Fast in Hilbert Space: Functional Rectified Flow Neural Operator: Learning Maps Between Function Spaces

Reference 41

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Observation 0bc7f050-cf83-4141-83c4-65c0cfcbbfce · inbound

Toward Data-Driven Surrogates of the Solar Wind with Spherical Fourier Neural Operator cites this paper.

Toward Data-Driven Surrogates of the Solar Wind with Spherical Fourier Neural Operator Neural Operator: Learning Maps Between Function Spaces

Reference 22

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arxiv_id, observed 2026-05-17T04:29:01.577905Z

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No event found in the named queried sources as of 2026-08-08T07:38:14.145609+00:00.

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Observation 089473c7-acdf-48d8-8017-b2c163fc9a93 · inbound

Diagnosing Failure Modes of Neural Operators Across Diverse PDE Families cites this paper.

Diagnosing Failure Modes of Neural Operators Across Diverse PDE Families Neural Operator: Learning Maps Between Function Spaces

Reference 1

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Observation 770e2f02-32e8-47e6-81c6-f30b2ed725a7 · inbound

Physics-Encoded Inverse Modeling for Arctic Snow Depth Estimation cites this paper.

Physics-Encoded Inverse Modeling for Arctic Snow Depth Estimation Neural Operator: Learning Maps Between Function Spaces

Reference 2021

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Observation 6f14a7d7-4e29-43c5-a9a1-6025b4e9ea56 · inbound

Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule cites this paper.

Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule Neural Operator: Learning Maps Between Function Spaces

Reference 2017

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Observation 4bb34af7-2d61-4b35-a07d-30fbc1d9da79 · inbound

Optimal Linear Interpolation under Differential Information: application to the prediction of perfect flows cites this paper.

Optimal Linear Interpolation under Differential Information: application to the prediction of perfect flows Neural Operator: Learning Maps Between Function Spaces

Reference 33

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arxiv_id, observed 2026-05-11T11:51:02.887767Z

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Observation db4d474d-4d4a-4a05-a4ba-92c2bb20e277 · inbound

Learning Neural Operator Surrogates for the Black Hole Accretion Code cites this paper.

Learning Neural Operator Surrogates for the Black Hole Accretion Code Neural Operator: Learning Maps Between Function Spaces

Reference 7

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arxiv_id, observed 2026-05-12T00:21:23.706098Z

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Observation ab798e1b-4da5-49a8-a430-01c00b4238ff · inbound

Large-eddy simulation nets (LESnets) based on physics-informed neural operator for wall-bounded turbulence cites this paper.

Large-eddy simulation nets (LESnets) based on physics-informed neural operator for wall-bounded turbulence Neural Operator: Learning Maps Between Function Spaces

Reference 45

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arxiv_id, observed 2026-05-09T04:00:13.226916Z

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Observation 9a352f99-0b3f-43c7-a269-373f17867da5 · inbound

Hybrid Fourier Neural Operator-Lattice Boltzmann Method cites this paper.

Hybrid Fourier Neural Operator-Lattice Boltzmann Method Neural Operator: Learning Maps Between Function Spaces

Reference 32

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arxiv_id, observed 2026-05-12T10:01:29.191030Z

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Observation a7563a6a-68f8-4a24-8e23-9792fd5b8799 · inbound

Physics-Informed Reduced-Order Operator Learning for Hyperelasticity in Continuum Micromechanics cites this paper.

Physics-Informed Reduced-Order Operator Learning for Hyperelasticity in Continuum Micromechanics Neural Operator: Learning Maps Between Function Spaces

Reference 5

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arxiv_id, observed 2026-05-11T03:05:52.639855Z

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Observation 0577a301-314c-4ce4-a2e2-ed27a03db1d1 · inbound

Quantitative Sobolev Approximation Bounds for Neural Operators with Empirical Validation on Burgers Equation cites this paper.

Quantitative Sobolev Approximation Bounds for Neural Operators with Empirical Validation on Burgers Equation Neural Operator: Learning Maps Between Function Spaces

Reference 20

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arxiv_id, observed 2026-05-12T01:46:14.665992Z

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Observation b2825f0b-305f-4db1-ae0e-709b9d9f7a9b · inbound

Quantitative Sobolev Approximation Bounds for Neural Operators with Empirical Validation on Burgers Equation cites this paper.

Quantitative Sobolev Approximation Bounds for Neural Operators with Empirical Validation on Burgers Equation Neural Operator: Learning Maps Between Function Spaces

Reference 1

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Observation 8020b2c7-0eff-4682-828a-8711f7e8e7c7 · inbound

Sequential Physics-Constrained Neural Operator Forward Modeling for the $\textit{Norne}$ Reservoir System cites this paper.

Sequential Physics-Constrained Neural Operator Forward Modeling for the $\textit{Norne}$ Reservoir System Neural Operator: Learning Maps Between Function Spaces

Reference 16

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arxiv_id, observed 2026-06-29T14:43:30.814908Z

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Observation 8a1d67db-173e-42a4-99b6-1a409fb035ed · inbound

Operator learning for the 2D incompressible Navier-Stokes equations: a conformal prediction approach in the data-scarce regime cites this paper.

Operator learning for the 2D incompressible Navier-Stokes equations: a conformal prediction approach in the data-scarce regime Neural Operator: Learning Maps Between Function Spaces

Reference 14

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arxiv_id, observed 2026-07-02T22:47:25.734752Z

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No event found in the named queried sources as of 2026-08-08T07:38:14.145609+00:00.

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Observation 7a68dcee-5982-4e44-9b3a-625f89151e7b · inbound

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems cites this paper.

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems Neural Operator: Learning Maps Between Function Spaces

Reference 30

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arxiv_id, observed 2026-07-03T00:37:29.962633Z

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Observation 83867a57-49bb-49a1-9e83-f420380419a3 · inbound

ELADO: Elliptic PDE Assessment Datasets for Operator Learning cites this paper.

ELADO: Elliptic PDE Assessment Datasets for Operator Learning Neural Operator: Learning Maps Between Function Spaces

Reference 4

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arxiv_id, observed 2026-07-04T03:09:30.476831Z

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Observation 32be2990-fc75-4d23-8324-235d9fbcf085 · inbound

A Neural Surrogate Approach for Simulating Natural Convection Problems cites this paper.

A Neural Surrogate Approach for Simulating Natural Convection Problems Neural Operator: Learning Maps Between Function Spaces

Reference 98

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arxiv_id, observed 2026-06-25T21:18:24.265402Z

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Observation 31970c1b-1e79-4d27-b105-ec6fecf51f0f · inbound

When is the combined load identifiable from a stress-intensity profile? A coupled forward-inverse study on SIFBench finite-element data cites this paper.

When is the combined load identifiable from a stress-intensity profile? A coupled forward-inverse study on SIFBench finite-element data Neural Operator: Learning Maps Between Function Spaces

Reference 6

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source=pdf_text observed=2026-08-02T07:10:15.668361Z digest=sha256:320fbbc6c4bf1888fa335e59c02768a98d0d2df1869e01b91c504c8d7cb36786

Observation 45037c94-c6cc-423f-978c-df46b14d5e62 · inbound

DRIFT: Direct Reduced Fourier Transforms for Distributed Spectral Neural Operators cites this paper.

DRIFT: Direct Reduced Fourier Transforms for Distributed Spectral Neural Operators Neural Operator: Learning Maps Between Function Spaces

Reference 1

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no resolver link, observed 2026-08-02T02:17:07.159977Z

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source=pdf_text observed=2026-08-02T02:17:07.159977Z digest=sha256:e0ada046997bc748d53d6fbe4094463e672c87129f8fae6280697b5ceee722e0

Observation eeb4939a-a03e-4a91-aa8c-d7e2a6accdfa · inbound

Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers cites this paper.

Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers Neural Operator: Learning Maps Between Function Spaces

Reference 2001

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no resolver link, observed 2026-08-01T06:09:01.761928Z

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source=pdf_text observed=2026-08-01T06:09:01.761928Z digest=sha256:d87686e99311c747ab2ef47bebd8d71414ad625655140fff839f4e80d42376cd

Observation 54143cd1-341d-4100-b70c-ec769592ed0a · inbound

Elliptic Regularity Theory in Barron Spaces and Applications to the Deep Ritz Method cites this paper.

Elliptic Regularity Theory in Barron Spaces and Applications to the Deep Ritz Method Neural Operator: Learning Maps Between Function Spaces

Reference 9

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no resolver link, observed 2026-07-31T01:28:50.733155Z

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source=pdf_text observed=2026-07-31T01:28:50.733155Z digest=sha256:c76eade733d25a22b94d6585ce539e9f770cc3aecc58093b4b48f3b83a68f354

Observation e069b584-2f4c-412b-9f3b-8ac1dfa9087a · inbound

Cosmo-SPINN: Fuzzy Dark Matter Simulations with Physics-Informed Generative Networks cites this paper.

Cosmo-SPINN: Fuzzy Dark Matter Simulations with Physics-Informed Generative Networks Neural Operator: Learning Maps Between Function Spaces

Reference 98

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no resolver link, observed 2026-07-31T02:27:17.167700Z

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source=arxiv_source observed=2026-07-31T02:27:17.167700Z digest=sha256:a041e5c7c809c21dcace46a7ea164e3e7f03941d0aa880a8076388b5c0fa04b9

Observation 9718d6a2-f21b-40e5-87f6-3695857158d9 · inbound

tFUSOperator: Operator Learning for Transcranial Focused Ultrasound Digital Twins cites this paper.

tFUSOperator: Operator Learning for Transcranial Focused Ultrasound Digital Twins Neural Operator: Learning Maps Between Function Spaces

Reference 9

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no resolver link, observed 2026-08-04T19:54:15.550167Z

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source=pdf_text observed=2026-08-04T19:54:15.550167Z digest=sha256:43257c9c4935a1dbcd732d6ad67971707d436d0f03c0d025aed9e3a2cea5731e

Observation 1f007116-23d8-4c08-a1a2-75621fd337ac · inbound

Benchmarking Multi-fidelity Neural Operators on Complex PDE Problems with Non-trivial Fidelity Differences cites this paper.

Benchmarking Multi-fidelity Neural Operators on Complex PDE Problems with Non-trivial Fidelity Differences Neural Operator: Learning Maps Between Function Spaces

Reference 20

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no resolver link, observed 2026-08-06T18:32:35.100763Z

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source=pdf_text observed=2026-08-06T18:32:35.100763Z digest=sha256:5efc3cb23a414967ccb6162359834086cea2ca1400118ec4b0aa8384fec98c49