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Paper Citation Record · LEDGER

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

As of 8 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

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Reference resolution

78 of 78 outbound references displayed

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External citation measurements

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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

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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

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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

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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

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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

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

Reference 6

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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

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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

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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

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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

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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

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This paper cites Bernhardsson.

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

Reference 12

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

Reference 13

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This paper cites Convex optimization.

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

Reference 14

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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

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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

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

Reference 17

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

Reference 18

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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

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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

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

Reference 21

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

Reference 22

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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

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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

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This paper cites Davydov, D.

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

Reference 25

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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

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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

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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

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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

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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

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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

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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

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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

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

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

Reference 34

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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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=2026-08-06T21:49:12.246137Z digest=sha256:8679dac044174f4aacb87e1be8480aea98e58d854303ba34e578ca2067abdad6

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
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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=2026-08-06T21:49:12.353485Z digest=sha256:304793bfb9e288fa7e805faa0adde0d3733d7b857580b7a87c7452c5c998f887

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

source=pdf_text observed=2026-08-06T21:49:12.482658Z digest=sha256:f657d0f9f2ee2978102a8fe5bc5ea429654eafef867f37609a3996edbbf5b411

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

source=pdf_text observed=2026-08-06T21:49:12.598129Z digest=sha256:916d2d91842b04256c741799759fd81a9e7d07b9220f958e6ff487d6ff40b8e0

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

source=pdf_text observed=2026-08-06T21:49:12.710819Z digest=sha256:8bcee0a986b9c8ed3e8b135d36c227eb73311ad2aed0d8adaf0e0c028413396c

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:d28978904a94109584294ce2e0996d400d4fba6a056bb15e7a493c36dc115b03

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

source=pdf_text observed=2026-08-06T21:49:12.924728Z digest=sha256:ef78aa9be6cdb19710b356118bfab0298c3885a3c27933952c5393884c1366bf

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

source=pdf_text observed=2026-08-06T21:49:13.043985Z digest=sha256:9cda1ad56268bd7ea48908bd00ec4325d0013a7201537d335277f954565f24bc

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=sha256:794b55a63411667bab755e0f9c1d80ecd46793d8b79c14faac5c83546cb92b12

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

source=pdf_text observed=2026-08-06T21:49:13.227814Z digest=sha256:b66325b4441e6c3dd6671a855c8e9166cc620c8004cb3f28ffcf6183e3ffd1cd

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

source=pdf_text observed=2026-08-06T21:49:13.372382Z digest=sha256:e2a22e4b3695471d2e56654183fe5172139f0436e2a3924ffdee6d238182721f

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
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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=2026-08-06T21:49:13.449117Z digest=sha256:d0fcfea2eec78417f973b42c598e557c0738fd25655dcf8bdf7d5ee8a4a55582

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

source=pdf_text observed=2026-08-06T21:49:13.532213Z digest=sha256:3b4d6e13634d6b8eeec96e0f72fa13558914ef3da802784f2adb1d7c6d8714c4

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

source=pdf_text observed=2026-08-06T21:49:13.623372Z digest=sha256:3c259a7e1e826e18126ff36fc14d16af759ce89191dc345e52b5c3614ac25d33

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

source=pdf_text observed=2026-08-06T21:49:13.690928Z digest=sha256:a0180d3f91a3cf296aef1582e2900a3914da8c9e4ccdf40e948108bdaa9cf09c

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

source=pdf_text observed=2026-08-06T21:49:13.764745Z digest=sha256:20c109552424bac3c6d0014cd114c9b6724fe0185a373eef3f8152973c70a358

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

source=pdf_text observed=2026-08-06T21:49:13.833764Z digest=sha256:f9b3c78eef357a11fcf4ec78d2ed3ee26ac4747136184ebbf78f390f099141f6

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

source=pdf_text observed=2026-08-06T21:49:13.971295Z digest=sha256:c3c953c2b2d74d00c665361ca16f1713f3791a4b32b5a2c5a9decd13a75c4ab3

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

source=pdf_text observed=2026-08-06T21:49:14.086993Z digest=sha256:91c750db6aa0456406d3921175fc252b7487232b4a89099885c01880a0bf7294

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

source=pdf_text observed=2026-08-06T21:49:14.181026Z digest=sha256:0012d3c8b94ff27c7119e99dfe512c545af8a6a108dcf669aa54cdf0dc5b548d

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

source=pdf_text observed=2026-08-06T21:49:14.280869Z digest=sha256:24f879ecfb78971af4b3d55d5b6814a2cdb466b742c963121cb82327a1e7960c

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

source=pdf_text observed=2026-08-06T21:49:14.380140Z digest=sha256:265dfdd2bea6f272f3269954c2be2f38963fbaa3ede71dc6e798398ac89ba15e

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

source=pdf_text observed=2026-08-06T21:49:14.434225Z digest=sha256:5de8955e748b2d971aef4206725b48c38b4bf161aab81cace94a2d7adc42c92c

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

source=pdf_text observed=2026-08-06T21:49:14.527914Z digest=sha256:3c6b3afba004f439e125840339b7774388dc54c7866235735b2cb3c19627e9e1

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=sha256:4d1c16b3399d0d37a5e1524afa7050269927cef2041d58c85fb36aa0599ed77f

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

source=pdf_text observed=2026-08-06T21:49:14.738721Z digest=sha256:18bd0f3f554f43cd25ee7d67032089791aa5d89f84cb1e55519968b137c7a479

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

source=pdf_text observed=2026-08-06T21:49:14.795794Z digest=sha256:cd7b3cb0f777245e46a60723bd0e011274a91a0a7004174fa035b6418e05b237

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

source=pdf_text observed=2026-08-06T21:49:14.861075Z digest=sha256:bcb1f720b66545516c85f75448ed53f61f82021234b45557609e145a309d9ebd

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

source=pdf_text observed=2026-08-06T21:49:14.927956Z digest=sha256:53fe1799c99a220147cdcfc3c3f1dd4dc22039859d42eff88660c81726fe860d

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

source=pdf_text observed=2026-08-06T21:49:14.986461Z digest=sha256:fff523682bfaddc0e919ecc1fa7a258cb9e189261af45fb7f438bd1f4462f10a

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=sha256:39a265b4f0b7fb2f860aa89edee94e557be95620269a5c080a7f82c4d5044889

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

source=pdf_text observed=2026-08-06T21:49:15.099822Z digest=sha256:5b42b56d4d572d4a393db8f43c5bdcffc8b79616caf076a2dc086c21bb462cbc

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

source=pdf_text observed=2026-08-06T21:49:15.217829Z digest=sha256:e5b93b07de46635c657627683b1b6b669694366e7afeb51c223919e71865414e

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

source=pdf_text observed=2026-08-06T21:49:15.303507Z digest=sha256:d026fd62d5a58ce941a49ae6811acc0168a26fb881717dd587ea23fc0e716c02

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=sha256:91ccf25b3bf8781bea0de9b5d0469897b485448fb4aa30d1e64b9cc850dee0f1

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

source=pdf_text observed=2026-08-06T21:49:15.419039Z digest=sha256:886f69aa8c64be478ff86ec4266974d358248b4da9dd82579ee1256f617eef29

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

source=pdf_text observed=2026-08-06T21:49:15.487654Z digest=sha256:ae8dbd51d9d98145d71f19dc67ee24a11f39871b16e323a01d17c57248dd6a66

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

source=pdf_text observed=2026-08-06T21:49:15.569965Z digest=sha256:270b4b073d7c18b414f4727b456f1eda37dbca46cd815ee8cfa9dbe1fc16cfc7

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

source=pdf_text observed=2026-08-06T21:49:15.653197Z digest=sha256:13d01da783fd0c8cd13faf320c0c5a3da31318ff064cccd0c3c252a601c2c3c9

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

source=pdf_text observed=2026-08-06T21:49:15.714646Z digest=sha256:a5b5823e7c08f4c6f05ffd9a2b6a5b703cbb7af66b1c60f2b7e0c01c3ed364d2

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

source=pdf_text observed=2026-08-06T21:49:15.785601Z digest=sha256:bded79edec2d9fd164cf6c35d3a21264aba6ca63655fb996a6adceeb9f64c03b

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

source=pdf_text observed=2026-08-06T21:49:15.864233Z digest=sha256:12bade80c532c4bb9a82e70ebb1eb91c92379fdf13d4656a6f2d1404fbd35dae

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

source=pdf_text observed=2026-08-06T21:49:15.932266Z digest=sha256:45eda608d4c2fe651488669969847ff644718b2815b0aa462293b5340d6aaa37

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

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Pith citing papers

No inbound Pith citation observations are available.