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Paper Citation Record · LEDGER

Operator Learning: Algorithms and Analysis

As of 7 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 2026-08-07T06:34:17.273281+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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verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T22:46:00.706442Z digest=sha256:dd3cbcdca07e3b231208c2f9ca25d583830d9a77b1644cc4cd7fde0b57f06a2b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:37.150112Z digest=sha256:b2d8553aece09d9e8f244b55a058b847ebf77d8f845c1d61c25288344f554a18

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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=sha256:2f8f577a03e29dec81ea01154e4138520ad8b7ae0199e02d8630fddc21a49308

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:19:41.203654Z digest=sha256:1fb000de499cd04f9bf35bf82a1276a45032837a0b1353d855b5a988ea567617

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:51:42.043532Z digest=sha256:a0b7a4940d9ed4537ff6efb9c64fadc2dca7cf19726fb14b4c4940fad581c6e7

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:44:53.259035Z digest=sha256:38d54d27b58dec967becb3db2c3abb8b900272108ca79f580d5905fd488eb2e6

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

Resolution
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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=sha256:5ff17c29735e873dd220360e25df6ac01a1b5edd3cf76e3babd59ea685c1aa85

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

Source-reported events for the cited work

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T04:28:07.806965Z digest=sha256:262f15eafb8f7fd8e7b8661d00fb33556b4a6fc78bdd1e6cd6b8ff3444fac4d4

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

Resolution
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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=sha256:73e1ece183a6eedc1eed695889acc35949f9c2eb4bf1b419263ab09071a12c94

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T01:38:54.274354Z digest=sha256:5adf271e04fe0b4c7e37b56078ac49b6b5a12292b5716718230960e0c6670bbd

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T22:14:36.959998Z digest=sha256:1d652419d9154bb60877154f777b02206fca52dd32ed356a4e2bc2c742b4dbeb

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T19:52:06.416882Z digest=sha256:1c5d07c8f07ec05d67ab80a48f6c4253c1dfddd63e722eec2329aa6ad5ad8649

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-30T05:25:44.696924Z digest=sha256:9c685834c03f584f5dd2698f4e5d43496b50d976e4c340e6f38016fea98f3eee

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:37:50.910660Z digest=sha256:f41f871f564436c04b19e1752543cfc7e37d27c681e48beca346acb04fd297c3