Paper Citation Record · LEDGER

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation

As of 23 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2501.11937.

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

pith.paper-citation-record.v1
2501.11937 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:46:46.887025Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact1
verified fuzzy20
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 913e7078-cf6c-4c2e-916f-1d0bd02c0735 · outbound

This paper cites Blockley and W.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Blockley and W

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.662067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7cf42ac3-db7c-49a4-80c5-d757bef4ce8e · outbound

This paper cites Crolla, D.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Crolla, D

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.644235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d5beee84-3b78-44f5-acbf-115bae632343 · outbound

This paper cites Petterssen, Introduction to meteorology.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Petterssen, Introduction to meteorology

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.626891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b19d9f1e-a118-407d-8db4-85ab5f5062d3 · outbound

This paper cites an unresolved cited work.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:46:47.605392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ad3492b5-ed84-4d2c-be2e-6269469ec5fd · outbound

This paper cites an unresolved cited work.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:46:47.558901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 75f22b39-a5e4-46bb-84cc-f625e0480155 · outbound

This paper cites Transfinite interpolation over implicitly defined sets,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Transfinite interpolation over implicitly defined sets,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.531965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3d7a6e8d-1c82-42da-96c5-ad8a05eb9a10 · outbound

This paper cites Babuska, J.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Babuska, J

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.515571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7fec1b23-cf41-48c8-85f1-30109af4fcc2 · outbound

This paper cites MGNet: a novel differential mesh generation method based on unsupervised neural networks,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation MGNet: a novel differential mesh generation method based on unsupervised neural networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.479275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation beefc79c-e913-458d-9142-c2d44d558b37 · outbound

This paper cites 3DMeshNet: A Three-Dimensional Differential Neural Network for Structured Mesh Generation.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation 3DMeshNet: A Three-Dimensional Differential Neural Network for Structured Mesh Generation

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:46:47.038729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1da5e6c4-d5e3-4a80-a1ce-5f74a95a55d5 · outbound

This paper cites an unresolved cited work.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:46:47.447797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8a1f5ef8-f81c-49a8-bed5-d892256e9343 · outbound

This paper cites On the applications of algebraic grid generation methods based on transfinite interpolation,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation On the applications of algebraic grid generation methods based on transfinite interpolation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.418961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1d607caf-2523-432e-9b6f-be1117a4d866 · outbound

This paper cites Direct numerical simulation: a tool in turbulence research,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Direct numerical simulation: a tool in turbulence research,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.398485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 797d6c81-683a-47ba-9ccb-21a3963b60a0 · outbound

This paper cites an unresolved cited work.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:46:47.373692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c646f6c7-3db0-4457-8a33-e1579015ce22 · outbound

This paper cites Automatic mesh generation by the let-it-grow neural network,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Automatic mesh generation by the let-it-grow neural network,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.351544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9994df8e-b861-4bdd-b092-e9b09d9b89d4 · outbound

This paper cites Neural networks based mesh generation method in 2-d,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Neural networks based mesh generation method in 2-d,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.324821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 73d67fee-8c7e-4f8e-8bdb-1ad085246f00 · outbound

This paper cites A density driven mesh generator guided by a neural network,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation A density driven mesh generator guided by a neural network,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.309088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 34424f1a-5eb2-4bd8-9b8b-b9bf25872540 · outbound

This paper cites MeshingNet: A new mesh generation method based on deep learning,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation MeshingNet: A new mesh generation method based on deep learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.289396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 72ea6e04-6050-47dc-a39b-1ef824262669 · outbound

This paper cites How to teach neural networks to mesh: Application on 2-d simplicial contours,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation How to teach neural networks to mesh: Application on 2-d simplicial contours,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.274608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 11d2388e-2f68-4f11-b750-ccd17284435f · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T17:46:46.794762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01343b81-ffd3-483c-9745-37a220a5de81 · outbound

This paper cites Physics-informed neural networks for solving forward and inverse problems in complex beam systems,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Physics-informed neural networks for solving forward and inverse problems in complex beam systems,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.236832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1976529a-106f-43a9-bf10-b9a6670dce52 · outbound

This paper cites Physics-informed neural networks with weighted losses by uncertainty evaluation for accurate and stable prediction of manufacturing systems,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Physics-informed neural networks with weighted losses by uncertainty evaluation for accurate and stable prediction of manufacturing systems,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.214922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8d9631ee-00fe-4c0d-b2b2-079aeb69d813 · outbound

This paper cites Developing a novel structured mesh generation method based on deep neural networks,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Developing a novel structured mesh generation method based on deep neural networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.193256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation be95d904-2b29-4a0f-b117-700d4698371b · outbound

This paper cites An Improved Structured Mesh Generation Method Based on Physics-informed Neural Networks.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation An Improved Structured Mesh Generation Method Based on Physics-informed Neural Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T17:46:46.832463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e57a0c86-2d9f-473f-a556-4b4721725447 · outbound

This paper cites Learning nonlinear operators via deeponet based on the universal approximation theorem of operators,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Learning nonlinear operators via deeponet based on the universal approximation theorem of operators,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T17:46:46.840094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfc3798e-97b5-42ae-8d8c-9b07251308ea · outbound

This paper cites Neural operator: Learning maps between function spaces with applications to pdes,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Neural operator: Learning maps between function spaces with applications to pdes,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.146763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c641171c-ee51-45bf-8e43-efbea02ff807 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Fourier Neural Operator for Parametric Partial Differential Equations

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T17:46:46.851412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38966a73-a1aa-4882-a290-dbb545eedafc · outbound

This paper cites Wavelet neural operator for solving parametric partial differential equations in computational mechanics problems,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Wavelet neural operator for solving parametric partial differential equations in computational mechanics problems,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T17:46:46.856694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11b88d2d-a0ac-49c6-af04-67d46aa45ed6 · outbound

This paper cites Koopman neural operator as a mesh-free solver of non-linear partial differential equations,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Koopman neural operator as a mesh-free solver of non-linear partial differential equations,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.106533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6504ca1c-f9d8-49d1-9a8a-3b2bdf35024e · outbound

This paper cites LNO: Laplace Neural Operator for Solving Differential Equations.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation LNO: Laplace Neural Operator for Solving Differential Equations

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T17:46:46.872502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef76b207-c935-448c-ab28-e27e68833c0f · outbound

This paper cites MIONet: Learning multiple-input operators via tensor product,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation MIONet: Learning multiple-input operators via tensor product,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.077481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9da22c6f-b721-47e2-9ce6-9e24503acd49 · outbound

This paper cites A comprehensive and fair comparison of two neural operators (with practical extensions) based on fair data,.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation A comprehensive and fair comparison of two neural operators (with practical extensions) based on fair data,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:46:47.055329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.