Pith. sign in

Paper Citation Record · LEDGER

Operator Learning: Algorithms and Analysis

As of 8 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 2026-08-08T06:32:00.761636+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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T22:46:00.706442Z digest=sha256:e088911550b5a1a4be4f7edd0c780336d9e87eb18358f92e3a1251b60bedd86a

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

Resolution
unresolved
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

Resolution
unresolved
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

Resolution
unresolved
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

Resolution
unresolved
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

Resolution
unresolved
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
unresolved
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

Resolution
unresolved
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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

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

Resolution
unresolved
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T04:28:07.806965Z digest=sha256:ab6f8b0b0aff55d862b3dd75f179c0adee56a62dbbddd65fafe8de973d47d6ee

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
unresolved
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T01:38:54.274354Z digest=sha256:f64f47483ea29bc1ab9770cc31ecfdecc1085b5150d59fd0380e8be5b9259af4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T22:14:36.959998Z digest=sha256:c98f3bb1aec244dd5332c7e38e14a5ca6580d91f7c4e20b20c1701e83248f065

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T19:52:06.416882Z digest=sha256:455bc7759ed8e83ee6204853a869dae583bdeba8e0ef994734899564ba4028f8

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T05:25:44.696924Z digest=sha256:a6eb6cdf162a093261546efd74d7b02bf3483aa4ed79884f8b71eaf941cdf631

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
unresolved
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:f285e696eb2ee07e9224f7f099671d68a9cab501b42e5949c6f5cf7e7976a7c5