Pith. sign in

Paper Citation Record · LEDGER

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations

As of 11 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2506.23344.

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

pith.paper-citation-record.v1
2506.23344 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:49:15.932266Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

78 of 78 outbound references displayed

  • verified exact0
  • verified fuzzy53
  • unresolved24
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 74dae19f-ae77-4375-82bd-bf9c77729c9a · outbound

This paper cites https://ngsolve.org/.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations https://ngsolve.org/

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:27.404255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:08.503596Z digest=sha256:9e5710d5bfe2783570a9931d06ee0ae6790b55647e7bbec41324127760d5dafd

Observation fa39455c-3945-43c7-8998-12c8c0a4e79e · outbound

This paper cites Ainsworth and I.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Ainsworth and I

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:27.326347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:08.601746Z digest=sha256:189f1311e04ce129f873d6120c4d6640eb14d7065eeb3312d6777bd740aef569

Observation c7a35fb5-c1e3-4e85-af2e-36b70571b42f · outbound

This paper cites Ainsworth and J.T.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Ainsworth and J.T

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:27.242023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:08.726106Z digest=sha256:fb9d6d6d10560447282fc12fd2484165b29ac53f1a95b66bcfc50f5779e9f64b

Observation 17f448d3-d6a4-4847-b2c4-b1e8aca10a92 · outbound

This paper cites Ainsworth and T.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Ainsworth and T

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:27.142711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:08.870439Z digest=sha256:750bc95459da0b9bb766e4afdbd8c4d3c3329f1976f3400edd3c7c39764e268e

Observation ea1aa25e-1c25-4dbb-8892-b2e43e839527 · outbound

This paper cites Galerkin neural networks: A framework for approxi- mating variational equations with error control.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Galerkin neural networks: A framework for approxi- mating variational equations with error control

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:27.065481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:08.945782Z digest=sha256:9cc8d44e82503ec02aeba0ae917a9c4d3cc87dd9c7db606434ffcae5f62a30c7

Observation fded4dc4-8ab3-4ab0-9e87-fb7afd421c17 · outbound

This paper cites an unresolved cited work.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:49:26.858715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:09.090796Z digest=sha256:9c340367982e5b82c820c124280c0fc53cebfa5913fed0578b8a40c9bad1aa3b

Observation 4f6d1d4e-b222-4b6e-8146-1bd31bd96333 · outbound

This paper cites Data2vec: A general framework for self-supervised learning in speech, vision and language.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Data2vec: A general framework for self-supervised learning in speech, vision and language

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:26.690768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:09.240841Z digest=sha256:728d3b627dc209ef22ee0c749006065b5afbf9537bb5d6087554290871eea8bb

Observation b6826c17-09e7-4435-81d7-684d2ab3e2b7 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations wav2vec 2.0: A framework for self-supervised learning of speech representations

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T21:49:09.310721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:49:09.310721Z digest=sha256:e8c54a8d6894c69b0005ff20dfb7cf1310df5e2efc46f5f4d9099bfc7cd20247

Observation 08df493e-0fc0-4371-8cb3-9c18fe6a6992 · outbound

This paper cites A Cookbook of Self-Supervised Learning.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations A Cookbook of Self-Supervised Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T21:49:09.380027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:49:09.380027Z digest=sha256:a395ea6ae4d74872764e731d1754a884b9ff2fac7550b17e2ded88e764f3d61a

Observation fd41cf47-6db7-4c0a-ac08-cac22c816e9f · outbound

This paper cites On the role of polynomials in RBF-FD approximations: II.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations On the role of polynomials in RBF-FD approximations: II

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:26.556975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:09.465418Z digest=sha256:ac461596b718d5c17e6f387cddda95e16f6d0b77df0f43deee525b053665ad1e

Observation 09c7c362-326a-42ad-8c1e-8627ceb1d8f7 · outbound

This paper cites Bernardi and R.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Bernardi and R

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:26.420878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:09.550289Z digest=sha256:d3cd34bdd48c8eac3d9051a48aa352eae885dafa927827b1dc75f6283cf6bcb7

Observation d20b3cc3-4e3f-4d1c-8f25-880fcb334c74 · outbound

This paper cites Bernhardsson.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Bernhardsson

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:26.281321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:09.687997Z digest=sha256:df0fb09cb81228486e087caecf188d4bdf468b27f43d5984233da051558944c0

Observation edf36867-f474-4286-b18f-9f279dee6713 · outbound

This paper cites an unresolved cited work.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T21:49:09.790845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:49:09.790845Z digest=sha256:2bd0469ba43ee4c530288eec57313ebdec05b060dde5aab3e280cd82b308adb4

Observation a0cc62d6-bf3c-4083-a35b-ae9069cf29c1 · outbound

This paper cites Convex optimization.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Convex optimization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T21:49:09.904811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:49:09.904811Z digest=sha256:c444a866736d8c2b8456697c6eea7bfa9aab1fc8805674a1418e052a8eadb147

Observation bb24a2e2-f7d4-4399-bd19-8c8a04bbc4d6 · outbound

This paper cites The neural network colloca- tion method for solving partial differential equations.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations The neural network colloca- tion method for solving partial differential equations

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:26.145684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:09.978586Z digest=sha256:4d3891fd7f93ace94f4ce52ecae4578ca8cd2075914375b15cb45dbecaee3e67

Observation e769630e-3e9a-4a60-afe9-4e9fe46f7fd7 · outbound

This paper cites Cai and Z.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Cai and Z

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:26.027371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:10.036728Z digest=sha256:a81eacc62851006c761bd650f94a774625a903c65b31a5b3009cf17c73c55bdc

Observation cbd3e7a5-2bce-4202-a775-eed8eb0b30db · outbound

This paper cites an unresolved cited work.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:49:25.894867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:10.086764Z digest=sha256:383abf3eb38bf127b15226d419b0a89faab51b914592f440c92801b132ebec8a

Observation 6effdb5c-6b74-4700-8067-354e93b1a8b3 · outbound

This paper cites an unresolved cited work.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:49:25.762345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:10.156842Z digest=sha256:7f762eb2092f4983e2531be463426cc4fce51eda0f7c487033d89c93c29e3332

Observation 3324c7b6-e1b0-4dc3-95f5-e25f8db65fe8 · outbound

This paper cites Robust and Explicit a posteriori Error Estimation Techniques in Adaptive Finite Element Method.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Robust and Explicit a posteriori Error Estimation Techniques in Adaptive Finite Element Method

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:25.583327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:10.251099Z digest=sha256:b92145df3b0abaa788ab86f930ca200405d52ef6f0712c0e2d4b803c578e840f

Observation 3f8105d1-f40f-4915-9f8f-33e12bedbec6 · outbound

This paper cites Hybrid a posteriori error estimators for conforming finite element approximations to stationary convection-diffusion-reaction equations.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Hybrid a posteriori error estimators for conforming finite element approximations to stationary convection-diffusion-reaction equations

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:25.429037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:10.347781Z digest=sha256:b89514a1d1bfaceee2aafe34a542a6fe29bbb5e113ec53a68bae7c936185813f

Observation 8de28e27-b540-44a1-8846-a2df862d7288 · outbound

This paper cites Posterior covariance structures in gaussian processes.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Posterior covariance structures in gaussian processes

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:25.148735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:10.440000Z digest=sha256:35095714ca1767cfb38282a91fed2e15bf667e48fde0494051f233e2659edf15

Observation e853e009-8a89-411f-8dcc-97a432a3b9f1 · outbound

This paper cites Cai and S.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Cai and S

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:24.788327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:10.553670Z digest=sha256:2a9449c62c2fa65f9b2672e4d8ae17906ad964b726a52cc7ac981dfcefbd6635

Observation 7cd4e614-5ee2-45b0-a723-cdf8bf1176d2 · outbound

This paper cites Flux recovery and a posteriori error estimators: conforming elements for scalar elliptic equations.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Flux recovery and a posteriori error estimators: conforming elements for scalar elliptic equations

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:24.528787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:10.685032Z digest=sha256:70fa5b55bbf2d7a2f1aa80e10c793a99f44878e90e89b7e2f8e41f34904892e5

Observation 5347c171-e74c-4abc-9cf8-1f50d0c52a50 · outbound

This paper cites Adaptive radial basis function partition of unity interpolation: A bivariate algorithm for unstructured data.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Adaptive radial basis function partition of unity interpolation: A bivariate algorithm for unstructured data

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:24.180349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:10.814961Z digest=sha256:074751c22352c17c73c9cc7908ef746f44797f2e9042241d4f2c46fe1c9a1104

Observation 338dbd54-ce04-4f99-baa0-2cebd30e0681 · outbound

This paper cites Davydov, D.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Davydov, D

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:23.970131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:10.926357Z digest=sha256:67e5b9d887cd2be5c12bf39d429a219c3354612608fd555802e27b99625d4185

Observation fe7d9ba0-af95-4a39-b8b7-f72c31840127 · outbound

This paper cites Deng and H.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Deng and H

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:23.643448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:11.097930Z digest=sha256:8701924e64d6345108fc2405b45f0d8eed86aa3ca679a3a01c507f2d92378018

Observation f0cc6f92-b0ac-4fa2-873a-b7a4e2d610a4 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations BERT: Pre-training of deep bidirectional transformers for language understanding

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:23.352606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:11.243783Z digest=sha256:a9178677899a293db1db9f080dd0ef54004d93f5440ae3bae1765e8e87d4d4d1

Observation 323cc46e-292a-431f-b231-d2f3b338a9a8 · outbound

This paper cites Efficient k-nearest neighbor graph construction for generic similarity measures.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Efficient k-nearest neighbor graph construction for generic similarity measures

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:23.069631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:11.388421Z digest=sha256:da692f13d9ab50f34e28784558b3a884a44b1a2c05616e6785c1374b708919b8

Observation 9b7fed12-68e0-41ed-b1f1-74befec50fe0 · outbound

This paper cites Dosovitskiy, L.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Dosovitskiy, L

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:22.907291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:11.533227Z digest=sha256:05359c9ba9654c71763c4b206706e41e77ffa003de57582b14f38d6e731e1873

Observation 2dad62da-8c61-43b1-85f5-7cb5922563c0 · outbound

This paper cites Adaptive residual refinement in an RBF finite difference scheme for 2D time-dependent problems.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Adaptive residual refinement in an RBF finite difference scheme for 2D time-dependent problems

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:22.777519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:11.630878Z digest=sha256:382829e7a0dca2215d187ef9b09eaa6887ea9b75819e0dd5cc08ad51d3e6a96b

Observation 94b1c5c5-4b83-44a6-9c96-f4c44f8e6dfd · outbound

This paper cites Adaptive residual refinement in an rbf finite difference scheme for 2d time-dependent problems.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Adaptive residual refinement in an rbf finite difference scheme for 2d time-dependent problems

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:22.606898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:11.746940Z digest=sha256:669ef48751e797e0d26fc1a8d0cae2c9f2675a66dcc5b216cb137117f54523aa

Observation f3cba657-06aa-439d-83b6-dc58ec640525 · outbound

This paper cites Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T21:49:11.864829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:49:11.864829Z digest=sha256:dff4faf89b2d520448c0abbcb098e9b818a112fb0d35bb269a73cb4b4eb580df

Observation 9785b3a3-1c39-4a6d-82fb-4cfe232ec389 · outbound

This paper cites Gray and A.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Gray and A

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:22.416746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:11.976854Z digest=sha256:4f4e9a0c4e798b94cc486adf600bb3acaa81f558e8ed429bf3f6866741f173f2

Observation 2f7080f1-9e17-4ae1-aecf-65daaa29d5b1 · outbound

This paper cites Gray and A.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Gray and A

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:22.260034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:12.124768Z digest=sha256:08af558f2cf4c6d7816ba6d2db73d6c1248b644ca96d1d395214276763963181

Observation ce7ee8b0-bc50-4fed-a749-5daa23080041 · outbound

This paper cites Greengard and J.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Greengard and J

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:22.118338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:12.246137Z digest=sha256:6cf98f62a43c577c84592b4d194e3d1aa0c2eec06f4fb3fda42c2f71678142bc

Observation 8a3572f9-6a9a-4b9e-bd41-1949fc09cd5a · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Bootstrap your own latent-a new approach to self-supervised learning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:21.937840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:12.353485Z digest=sha256:530440b384ef6c052c01378317173e0dc98d2dbe747db4c7a3e31f0b1c04e61b

Observation 5886a987-5857-4a0d-95df-d5bacee30477 · outbound

This paper cites Hackbusch.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Hackbusch

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:21.756665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:12.482658Z digest=sha256:c2652f10cc49b8f69df14717200433b89d5b6e895171b61155138a6917899bf9

Observation d58ec86c-fe30-45bf-b028-2ad705b049b2 · outbound

This paper cites Tetgen, a delaunay-based quality tetrahedral mesh generator.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Tetgen, a delaunay-based quality tetrahedral mesh generator

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:21.588784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:12.598129Z digest=sha256:6fb43507b9ebe25dce03bbf26b6303cd721b01c5fc6ea53922abe15eeb35c778

Observation 18b72808-66b0-4abb-a385-32898c89a085 · outbound

This paper cites an unresolved cited work.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:49:21.465387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:12.710819Z digest=sha256:04c38214958597153c35ac6cae361e4f71bcd2489bc5d5e18020c9761e9c4b1a

Observation 70f3bbbe-bb37-45a4-8f6b-7b8c92b8d82f · outbound

This paper cites Masked autoencoders are scalable vision learners.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Masked autoencoders are scalable vision learners

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T21:49:12.806309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:49:12.806309Z digest=sha256:d651e1bbe386051a6f28bef7d210c94e453bfd5affd963cda500549aadb62111

Observation 6112e4ee-2381-4047-9705-e179af1489c6 · outbound

This paper cites Hendrycks, M.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Hendrycks, M

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:21.324574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:12.924728Z digest=sha256:4fa7ecb9e45010b9428bbfc403151255b9c04160c31b25649cb27b1cd2cd2f2f

Observation cb2f4de1-0a2a-4632-b76c-278d08576621 · outbound

This paper cites an unresolved cited work.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:49:21.121780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:13.043985Z digest=sha256:50fd6cfbf66a77300bdaf266b42ee99803b2d93ba636e43c9e7aa52a51b9778c

Observation ad852401-813a-45d9-bc31-1d0c09579258 · outbound

This paper cites A software package for sequential quadratic programming.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations A software package for sequential quadratic programming

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T21:49:13.146055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:49:13.146055Z digest=sha256:9163d715b43034a192e7c12246694cdd8926ea0da19c41e4cefa76ecfe047579

Observation f89124bc-da7a-498a-acc1-ded52b2e1623 · outbound

This paper cites Empirical testing of fast kernel density estimation algorithms.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Empirical testing of fast kernel density estimation algorithms

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:20.908750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:13.227814Z digest=sha256:dc9fc80124aab938d0a3bb953f968a49e1467c6e7536f75f7f44706faeb278cb

Observation cb147140-e3e6-4c8d-844b-7602e3a0ae13 · outbound

This paper cites an unresolved cited work.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:49:20.738122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:13.372382Z digest=sha256:65e03cf2c38140e11dd3d36726e4e608a6ef1f7d25b540fd7dea0e3e65fcd9a4

Observation 3466b810-9c8a-40da-b57a-811d86a41d9e · outbound

This paper cites Stable high order FD methods for interface and internal layer problems based on non-matching grids.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Stable high order FD methods for interface and internal layer problems based on non-matching grids

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:20.632224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:13.449117Z digest=sha256:28939d47c0ce2c0f3f5ceaf6990a6e9c3250df28ae758ae207ae0f05e567b8ea

Observation 685942db-bdf1-4d7d-ac25-7894f213e8c4 · outbound

This paper cites An explicit link between gaussian fields and gaussian markov random fields: The stochastic partial differential equation approach.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations An explicit link between gaussian fields and gaussian markov random fields: The stochastic partial differential equation approach

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:20.539024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:13.532213Z digest=sha256:31ffc898cb83f441f4982515bb960192d4d22ec7924edb6a6e78fb9589f5add4

Observation 1405666c-9db4-4378-92f1-777b980bb2af · outbound

This paper cites CPAFT: A consistent parallel advanc- ing front technique for unstructured triangular/tetrahedral mesh generation.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations CPAFT: A consistent parallel advanc- ing front technique for unstructured triangular/tetrahedral mesh generation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:20.329232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:13.623372Z digest=sha256:c16dcff307eb4c13869f60728e5eea5b3ed82df24a131e81cdf02ae436142d05

Observation 1c8a7b80-a21f-4f6e-bcf8-b5db972754f6 · outbound

This paper cites an unresolved cited work.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:49:20.171316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:13.690928Z digest=sha256:94f4c7472783751277383639367f32e2c4e2d40c6ec4589acaab5ea6ae04ffb6

Observation 035deaf5-2227-41af-be23-77884f12c4f4 · outbound

This paper cites An artificial neural network based deep collocation method for the solution of transient linear and nonlinear partial differen- tial equations.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations An artificial neural network based deep collocation method for the solution of transient linear and nonlinear partial differen- tial equations

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:20.026110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:13.764745Z digest=sha256:7f6c0b802453a813daccda8b160f124bbc6573500966e750612818db4c787e85

Observation 0bad47f5-3b7b-4814-a8e2-c3ec04aa6d1f · outbound

This paper cites an unresolved cited work.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:49:19.797276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:13.833764Z digest=sha256:258861ffdc69116cd9cee9e747bc920173a78a6942f98169877a6e6c75d72fcd

Observation 60779442-850d-48ac-895a-d69bf8f8c051 · outbound

This paper cites Mitchell.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Mitchell

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:19.472725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:13.971295Z digest=sha256:4c60789c5f2a3372fe4fe8bb85b4a66dc06f491cb626980e8cb8bff4219c888f

Observation ac2a9231-495f-423a-bacf-50a0036e8160 · outbound

This paper cites Muja and D.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Muja and D

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:19.383615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:14.086993Z digest=sha256:2897307c6c05b8606e74a7d01ebbe2b422032711a3c3573b27cc18aec7f49dbf

Observation 7e3598c2-5969-49dc-b33f-cc4b1095ea95 · outbound

This paper cites Adaptive RBF-FD method for elliptic problems with point singularities in 2D.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Adaptive RBF-FD method for elliptic problems with point singularities in 2D

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:19.231488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:14.181026Z digest=sha256:cff4003706a7f07c6c2df17437a40aaf3ddef1cd6ccb0d7e502217176921002b

Observation a89fe8c4-12b8-4c4e-b384-1600770d1cc1 · outbound

This paper cites A multilevel, hierarchical sam- pling technique for spatially correlated random fields.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations A multilevel, hierarchical sam- pling technique for spatially correlated random fields

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:19.044978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:14.280869Z digest=sha256:8d40f85e93789824a54aed2bdaf7611b8753e7e6828dd5b8d6ae309ea2a017a5

Observation bcd5b1c4-8c44-4681-975a-848de4d2512f · outbound

This paper cites an unresolved cited work.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:49:18.911409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:14.380140Z digest=sha256:bc5c7f1eaef388972d5e1147dc593e557351f1edf5e9b31693218c8dc7b12957

Observation ca807e55-b0d9-4fe8-a003-33ca6f39ff72 · outbound

This paper cites Adaptive mesh refinement: Quantitative computation of a rising bubble using comsol multiphysics ®.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Adaptive mesh refinement: Quantitative computation of a rising bubble using comsol multiphysics ®

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:18.821944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:14.434225Z digest=sha256:9f0d447ff993974b8b23efa11b55f2d573919adc74ccd36f5b2c04c157059ee4

Observation e9b481d1-fc78-40f7-b75b-3d0203400656 · outbound

This paper cites Raffel, N.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Raffel, N

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:18.720213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:14.527914Z digest=sha256:d50f8896d26e193a57c8ac2dcaa8c7aea2deca2e0f3f69168a0c3868645844ab

Observation 92a92bf8-6cc1-42c1-8afa-930535fe44c5 · outbound

This paper cites Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T21:49:14.633957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:49:14.633957Z digest=sha256:6841e0aedbe6259fee8049dc757249d50c09440ef0aadb02fc2cac75fc7d55c8

Observation 14641d14-73f9-4fe5-9c7f-e0aa6c780e1d · outbound

This paper cites Rosenblatt.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Rosenblatt

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:18.609205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:14.738721Z digest=sha256:b45000c0d7fc7ea8e8bc256eba3bfb35328e476a1756eec122a8cb02eba23d73

Observation 6e6df4a0-9d83-407f-ab72-3362508fbf5b · outbound

This paper cites an unresolved cited work.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:49:18.438092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:14.795794Z digest=sha256:37416a350d16c0ae96ad2d11f8f64c07c1b8946760fe2aac24d4e9fbc555a49e

Observation 139072e9-2595-4bc6-a5f8-88c0432bc102 · outbound

This paper cites Netgen an advancing front 2d/3d-mesh generator based on abstract rules.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Netgen an advancing front 2d/3d-mesh generator based on abstract rules

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:18.206380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:14.861075Z digest=sha256:7ac30604dc33ee9a92f9de5215fdae1f2f89fc831cffbe6404bb96754264bd45

Observation 5bb1fec6-4382-4d36-b713-337f156ef99e · outbound

This paper cites an unresolved cited work.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:49:18.040024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:14.927956Z digest=sha256:9e494effcc0c02fbca917c4ecdb7323993e92cb6f703dd08b2da7c9edf2b5cca

Observation 7077ac79-6fca-4e69-90ac-202950629ae8 · outbound

This paper cites an unresolved cited work.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:49:17.939089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:14.986461Z digest=sha256:6036e3521cbc4d14aee037af95aac595dd012e00d092e687c020abc6c70249e9

Observation a818b082-aa55-4a73-9897-bb1b23a6f755 · outbound

This paper cites Density estimation for statistics and data analysis.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Density estimation for statistics and data analysis

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T21:49:15.049432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:49:15.049432Z digest=sha256:45498a8295163f96f7d98894c0e147d7b9d3cda92eee3b0f313b41b4534f1c9f

Observation a925337f-b593-4888-970b-07931afab259 · outbound

This paper cites Slak and G.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Slak and G

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:17.775011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:15.099822Z digest=sha256:4bfb9d11edfbc5552b449512d8717c6f7e64b5f3d26590476b82b8ecd6477f12

Observation bbddc24a-97bc-422b-b1b5-6540b1c3c410 · outbound

This paper cites an unresolved cited work.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:49:17.610017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:15.217829Z digest=sha256:87cd7b05da2f02f21b590dd5cbd2d58086cbbe5889bbbc133d171ca79e506d0a

Observation 34eeadf7-43f2-47ca-8737-ea458ff95d97 · outbound

This paper cites Adaptive mesh methods for one- and two-dimensional hyperbolic conservation laws.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Adaptive mesh methods for one- and two-dimensional hyperbolic conservation laws

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:17.418762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:15.303507Z digest=sha256:024a34121fd7373b95dd3d459c819c1dcdf9aa47f77f8fb157c13ddebb2e089a

Observation f3d893cd-e436-4e43-857a-b499888feb88 · outbound

This paper cites Variable kernel density estimation.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Variable kernel density estimation

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T21:49:15.354150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:49:15.354150Z digest=sha256:10314d87b060042262228e03c5e507cd588f15f49d6953ccd107fd10aa08077f

Observation 5da08485-6f87-4d24-87f7-76b75eab69b6 · outbound

This paper cites Verf¨ urth.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Verf¨ urth

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:17.248179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:15.419039Z digest=sha256:5ef803c57e95893b078f2212ae862dd62df6002f900e09c23a89b2b9b6948135

Observation b76f18da-c6b8-4a2f-9fae-a6d85cdd9089 · outbound

This paper cites Verf¨ urth.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Verf¨ urth

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:17.113741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:15.487654Z digest=sha256:87b69ec07d14048b265363c06a19e81d4cfa36c7ed800090cf124eab6c7912bb

Observation a6d804b7-2551-40d6-99bc-5934f1f3fe08 · outbound

This paper cites Verf¨ urth.A Posteriori Error Estimation Techniques for Finite Element Methods.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Verf¨ urth.A Posteriori Error Estimation Techniques for Finite Element Methods

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:17.000504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:15.569965Z digest=sha256:9c6c867c2f77f89a4d0c4551764daceb01565596c1b595eddab2880af80dc76b

Observation a6096563-234b-4ccc-8c57-d0d1b8a2c909 · outbound

This paper cites Wald and V.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Wald and V

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:16.860910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:15.653197Z digest=sha256:5e42b3fe40a12858dee8c7bf4c09386bc1425ec7e30fa5884b10b3b69b19f596

Observation 203f0d13-703b-4bc1-bc26-c5ac8225abd9 · outbound

This paper cites Optimal smoothing parameters for multivariate fized and adaptive kernel methods.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Optimal smoothing parameters for multivariate fized and adaptive kernel methods

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:16.712220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:15.714646Z digest=sha256:74b4cf09efc893a4ea9832ecfac1355f6eb1a3b742612a48114fc42f982078cb

Observation df69a4e6-c51b-4cdb-bf76-b36daf66a77e · outbound

This paper cites an unresolved cited work.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:49:16.565832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:15.785601Z digest=sha256:7f9668b84faed04e78765f24e573baa7c330c55d29c74aa42516f5318bde96b1

Observation f943c040-ff1a-46cf-8547-e463faa7acb9 · outbound

This paper cites Yu and W.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Yu and W

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:16.432478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:15.864233Z digest=sha256:b1ac046d461802b2e7ab5cedc169f33c698166c60aedfc390da42063cd1cad1a

Observation 2ce28640-aa1b-4418-b7cf-a898ac9e8250 · outbound

This paper cites Amrex: a framework for block- structured adaptive mesh refinement.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Amrex: a framework for block- structured adaptive mesh refinement

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:49:16.206059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:15.932266Z digest=sha256:98ef24c1e62d612d80974f7f9fb6ed1b0732f8a7dddbe37dc9c540bc3fb335f6

Observation 38c4a08a-2ca1-48bb-8a77-ce0937e40c01 · outbound

This paper cites an unresolved cited work.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Unresolved cited work

Reference 1738

Resolution
parse uncertain
raw_fallback, observed 2026-08-06T21:49:19.605931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:49:13.916908Z digest=sha256:ef79c08a73fc12c193e31d3a25e13ea07d4fae617fcbeb4289b3948e0a03dbf2

Pith citing papers

No inbound Pith citation observations are available.