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Paper Citation Record · LEDGER

Operator Learning: Algorithms and Analysis

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2402.15715.

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

pith.paper-citation-record.v1
2402.15715 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:03:37.150112Z

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

7
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 3e7e502b-aad0-4415-a3b3-cd3153d13804 · inbound

A DeepONet for inverting the Neumann-to-Dirichlet Operator in Electrical Impedance Tomography: An approximation theoretic perspective and numerical results cites this paper.

A DeepONet for inverting the Neumann-to-Dirichlet Operator in Electrical Impedance Tomography: An approximation theoretic perspective and numerical results Operator Learning: Algorithms and Analysis

Reference 52

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arxiv_id, observed 2026-05-23T22:48:32.875375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T22:46:00.706442Z digest=sha256:01d83fc43ea31ad065cef3c45a1b902fa39031477cd161767b6b16c04764b276

Observation 38d276b5-43b5-49b2-8be8-2d805e03b2ad · inbound

Quasi-optimal hierarchically semi-separable matrix approximation cites this paper.

Quasi-optimal hierarchically semi-separable matrix approximation Operator Learning: Algorithms and Analysis

Reference 41

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no resolver link, observed 2026-08-07T15:03:37.150112Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:37.150112Z digest=sha256:6535d51ae0972e872e27bfaa65f2e04727667024df7b253c8169ef2b71963ba0

Observation 11d7ed3a-7676-4627-adb5-1042b62ca973 · inbound

Computational Math with Neural Networks is Hard cites this paper.

Computational Math with Neural Networks is Hard Operator Learning: Algorithms and Analysis

Reference 32

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no resolver link, observed 2026-08-07T14:51:22.985705Z

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source=pdf_text observed=2026-08-07T14:51:22.985705Z digest=sha256:873c76eabbcc9a626f7507e92c577c0037e3b1b788da238e650fd902be2236a1

Observation b9b30324-cf78-4ab6-8aac-fa472d4c86dd · inbound

Graph-Based Operator Learning from Limited Data on Irregular Domains cites this paper.

Graph-Based Operator Learning from Limited Data on Irregular Domains Operator Learning: Algorithms and Analysis

Reference 30

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no resolver link, observed 2026-08-07T14:27:44.064959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:44.064959Z digest=sha256:6297a1e96fd0682e9665756f6aff0a2ab9a1d78c713f8650d0276c521073f735

Observation a50aa91e-e77d-4c55-9733-a1534ce2d79a · inbound

Convergent Operator-Splitting Scheme for Viscosity Solutions: A Foundation for Learning Domain-to-Solution Maps cites this paper.

Convergent Operator-Splitting Scheme for Viscosity Solutions: A Foundation for Learning Domain-to-Solution Maps Operator Learning: Algorithms and Analysis

Reference 20

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no resolver link, observed 2026-08-07T13:57:27.117508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:57:27.117508Z digest=sha256:50b545faf0ffb1a9499f7d7df45e7c4fefbc9da1241322d2518e6b535baf7cfe

Observation cb2918bd-1a02-4ff3-ae1f-44449ac435dc · inbound

Mondrian: Transformer Operators via Domain Decomposition cites this paper.

Mondrian: Transformer Operators via Domain Decomposition Operator Learning: Algorithms and Analysis

Reference 32

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no resolver link, observed 2026-08-07T05:23:48.996103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:23:48.996103Z digest=sha256:74166ac331292883fdf4afc74dc4e7afdb34870b43f1ae6db4d43b5bf91e16c7

Observation 2d29aaf7-5442-4f5f-9ba6-23a632e43d27 · inbound

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning cites this paper.

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning Operator Learning: Algorithms and Analysis

Reference 51

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no resolver link, observed 2026-08-07T04:19:41.203654Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:19:41.203654Z digest=sha256:18c590b92348bb1eb92035a53b5c3de0912b1e6b1628196d9a94ffda56a43951

Observation 6951fdb9-268b-4830-93d5-a00be59edf39 · inbound

An AI Approach for Learning the Spectrum of the Laplace-Beltrami Operator cites this paper.

An AI Approach for Learning the Spectrum of the Laplace-Beltrami Operator Operator Learning: Algorithms and Analysis

Reference 11

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no resolver link, observed 2026-08-06T18:51:42.043532Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:51:42.043532Z digest=sha256:3a7ef431786283cad0dc46fbab81c993fda957e8a984d086008ec01ac7a3680e

Observation aceb3ae5-beef-469d-afd7-660993cfb4ff · inbound

DPNO: A Dual Path Architecture For Neural Operator cites this paper.

DPNO: A Dual Path Architecture For Neural Operator Operator Learning: Algorithms and Analysis

Reference 24

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no resolver link, observed 2026-08-06T16:44:53.259035Z

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source=pdf_text observed=2026-08-06T16:44:53.259035Z digest=sha256:08976f56ca0bd0f734f161c56b108d13eb00d6bca5841f4924ae66793a0be4de

Observation 32d6bcb4-b0e4-477d-b479-74fe9b9e594f · inbound

Diffeomorphic Neural Operator Learning cites this paper.

Diffeomorphic Neural Operator Learning Operator Learning: Algorithms and Analysis

Reference 40

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no resolver link, observed 2026-08-05T22:39:54.643991Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:39:54.643991Z digest=sha256:5e7b9497cde342bd53de4819f8565b9214a3d54c03c3f4ba95d9fd69918c4721

Observation 1a538591-13e2-433c-9a28-02378ce1d784 · 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 Operator Learning: Algorithms and Analysis

Reference 14

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no resolver link, observed 2026-08-05T05:33:52.889024Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:52.889024Z digest=sha256:2d1b6a41a4bf74f2dc1599c702026ad8729d3a2539e237f074e1de24361ec896

Observation e0631aca-ae0c-4215-a015-292ce3a69d41 · 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 Operator Learning: Algorithms and Analysis

Reference 16

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verified exact
arxiv_id, observed 2026-05-17T04:29:01.573607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T04:28:07.806965Z digest=sha256:7d084d771ada17d64070f4eb8b6caa87a6bd3b55e71c56b1ea273f0c4a136760

Observation 45861b9b-b707-4172-b492-a918f8fada53 · inbound

Shopping Companion: Benchmarking and Training LLM Agents for Long-Horizon Preference-Grounded E-Commerce Tasks cites this paper.

Shopping Companion: Benchmarking and Training LLM Agents for Long-Horizon Preference-Grounded E-Commerce Tasks Operator Learning: Algorithms and Analysis

Reference 49

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no resolver link, observed 2026-07-14T20:52:41.938963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T20:52:41.938963Z digest=sha256:4f638f96d137025440e327ae393a781cc143b37a218e3c6515a4152a9f4ab9ec

Observation 7360a03b-d409-4055-96d6-e6d4bc4a2a3c · 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 Operator Learning: Algorithms and Analysis

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T01:46:14.668876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T01:38:54.274354Z digest=sha256:94ed08ddf2374409638f236d72847dbacdfbff102fc220c231b7c75ff0c7decb

Observation 05d22949-4d7b-42ad-bc2f-2bbccf2d8e4d · inbound

Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers cites this paper.

Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers Operator Learning: Algorithms and Analysis

Reference 26

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verified exact
arxiv_id, observed 2026-06-29T22:34:02.755229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T22:14:36.959998Z digest=sha256:2e3303c333319d8a82b482a91d6de0e8d020d1348184155288adfa9ecec083bb

Observation 3f99507e-9989-4d35-8c29-8f20f9c4d223 · inbound

Is Zero-Shot Super-Resolution Possible in Operator Learning? cites this paper.

Is Zero-Shot Super-Resolution Possible in Operator Learning? Operator Learning: Algorithms and Analysis

Reference 43

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metadata mismatch
arxiv_id, observed 2026-06-28T19:52:35.019916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T19:52:06.416882Z digest=sha256:4b84f6017ad11d3463a668413cf34df84bc59586c72ac0dd46f8913d675922c8

Observation dc9eec1b-2ccb-4674-8296-a57f1f8c2616 · inbound

A Distributionally Robust Framework for Learned Reconstructions in Inverse Problems cites this paper.

A Distributionally Robust Framework for Learned Reconstructions in Inverse Problems Operator Learning: Algorithms and Analysis

Reference 75

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verified exact
arxiv_id, observed 2026-06-30T05:34:19.497007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T05:25:44.696924Z digest=sha256:c2c888592da83a00d955079089dbed55c7b79ba4880e35215d30d65d4c34fd42

Observation 7301cbda-44a3-43cc-8841-613420e650d5 · inbound

Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles cites this paper.

Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles Operator Learning: Algorithms and Analysis

Reference 33

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no resolver link, observed 2026-08-01T17:37:50.910660Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:37:50.910660Z digest=sha256:bcb163298ec63fe9def77d18ebae32b6717e478c15f53694445214f80ccd303a