Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:40:03.139892Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 1 inbound Pith citation observation for arXiv:2505.13539.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:40:03.139892Z
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86 of 86 outbound references displayed
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Observation ca32f18a-212e-4086-95f9-6b0fefae21af · outbound
EuLearn: A 3D database for learning Euler characteristics Amenta and M
Reference 1
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Observation 4aa9c7ba-ae60-4ad2-af97-8fbfeac79736 · outbound
EuLearn: A 3D database for learning Euler characteristics Neural poisson surface reconstruction: Resolution-agnostic shape reconstruction from point clouds, 2023
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Observation ec8808c7-eee7-47e8-b2ee-386d0520c6bc · outbound
EuLearn: A 3D database for learning Euler characteristics Dna knots reveal a chiral organization of dna in phage capsids.Proceedings of the National Academy of Sciences, 102(26):9165–9169, 2005
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EuLearn: A 3D database for learning Euler characteristics Mantra: The manifold triangulations assemblage, 2024
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EuLearn: A 3D database for learning Euler characteristics Hearst, V .F.R Jones, and L
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EuLearn: A 3D database for learning Euler characteristics Unresolved cited work
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Observation 2a64ebde-d0bb-4326-aacc-9f902938da06 · outbound
EuLearn: A 3D database for learning Euler characteristics Sampling Lissajous and Fourier knots.Experimental Mathematics, 18(4):481–497, 2009
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EuLearn: A 3D database for learning Euler characteristics ShapeNet: An Information-Rich 3D Model Repository
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Observation dc2b6063-a7ae-4c08-9491-4545bfb0256d · outbound
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EuLearn: A 3D database for learning Euler characteristics Unresolved cited work
Reference 10
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EuLearn: A 3D database for learning Euler characteristics Sigmoid-weighted linear units for neural network function approximation in reinforcement learning.Neural Networks, 107:3–11, 2018
Reference 11
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Observation 2a9c43e3-3607-4ef2-9f66-ebd1a500b583 · outbound
EuLearn: A 3D database for learning Euler characteristics Curvature measures.Trans
Reference 12
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Observation afb7f2b0-7c03-4013-ac72-d892f739535d · outbound
EuLearn: A 3D database for learning Euler characteristics Meshnet: Mesh neural net- work for 3d shape representation.Proceedings of the AAAI Conference on Artificial Intelligence, 33(01):8279–8286, Jul
Reference 13
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EuLearn: A 3D database for learning Euler characteristics Datasheets for datasets.Commun
Reference 14
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EuLearn: A 3D database for learning Euler characteristics Mesh r-cnn
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EuLearn: A 3D database for learning Euler characteristics Pct: Point cloud transformer.Computational Visual Media, 7:187–199, 2021
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Observation a186ecbb-fd36-4775-8c64-02f6fbb1ddcf · outbound
EuLearn: A 3D database for learning Euler characteristics Euler characteristic tools for topological data analysis
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Observation ee93b593-ed70-414b-81a7-4ca2b43403ac · outbound
EuLearn: A 3D database for learning Euler characteristics Meshcnn: a network with an edge.ACM Transactions on Graphics, 38(4):1–12, July 2019
Reference 18
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EuLearn: A 3D database for learning Euler characteristics Gaussian error linear units (gelus), 2016
Reference 19
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EuLearn: A 3D database for learning Euler characteristics Batch normalization: accelerating deep network training by reducing internal covariate shift
Reference 20
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Observation d10e51bc-f1a1-4b30-bc55-cb0eabcd8446 · outbound
EuLearn: A 3D database for learning Euler characteristics Compass: predicting biological activities from molecular surface properties
Reference 21
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EuLearn: A 3D database for learning Euler characteristics Fourier neural operator for image classification
Reference 22
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EuLearn: A 3D database for learning Euler characteristics Kauffman
Reference 23
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EuLearn: A 3D database for learning Euler characteristics Kingma and Jimmy Ba
Reference 24
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EuLearn: A 3D database for learning Euler characteristics Abc: A big cad model dataset for geometric deep learning
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Observation d1cfdd54-fa5a-48ee-91e7-28c0443776bb · outbound
EuLearn: A 3D database for learning Euler characteristics There are infinitely many Lissajous knots.manuscripta mathematica, 93:29–37, 1997
Reference 26
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EuLearn: A 3D database for learning Euler characteristics Fourier Knots, 2012
Reference 27
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EuLearn: A 3D database for learning Euler characteristics Edgeconv with attention module for monocular depth estimation
Reference 28
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Observation bff9ebe4-625c-408d-9dc8-b8010a5573ed · outbound
EuLearn: A 3D database for learning Euler characteristics Fourier neural operator for parametric partial differential equations
Reference 29
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Observation 31e98a70-887f-407b-8422-48a7e3523c24 · outbound
EuLearn: A 3D database for learning Euler characteristics A survey of visual transformers.IEEE Transactions on Neural Networks and Learning Systems, 2023
Reference 30
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EuLearn: A 3D database for learning Euler characteristics Transformers in 3d point clouds: A survey, 2022
Reference 31
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EuLearn: A 3D database for learning Euler characteristics Transformers in 3D Point Clouds: A Survey
Reference 32
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EuLearn: A 3D database for learning Euler characteristics Millett, and Paul J
Reference 33
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EuLearn: A 3D database for learning Euler characteristics Pointnet: Deep learning on point sets for 3d classification and segmentation
Reference 34
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Observation 90353d50-adea-48ef-83e2-49d4c0d548a8 · outbound
EuLearn: A 3D database for learning Euler characteristics Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Advances in neural information processing systems, 30, 2017
Reference 35
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Observation 36674463-3b5a-4f83-9651-d8ff8abb3ad2 · outbound
EuLearn: A 3D database for learning Euler characteristics Folds from fold: Exploring topological isoforms of a single-domain protein.Proceedings of the National Academy of Sciences, 121(43):e2407355121, 2024
Reference 36
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EuLearn: A 3D database for learning Euler characteristics Ritchie, Simon J.F
Reference 37
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EuLearn: A 3D database for learning Euler characteristics Tracking protein kinase targeting advances: integrating QSAR into machine learning for kinase-targeted drug discovery.Future Sci OA, 11(1):2483631, April 2025
Reference 38
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EuLearn: A 3D database for learning Euler characteristics Differential evolution – a simple and efficient heuristic for global optimization over continuous spaces.Journal of Global Optimization, 11(4):341–359, Dec 1997
Reference 39
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EuLearn: A 3D database for learning Euler characteristics Attention is all you need
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EuLearn: A 3D database for learning Euler characteristics Graph attention networks, 2018
Reference 41
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EuLearn: A 3D database for learning Euler characteristics Sarma, Michael M
Reference 42
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EuLearn: A 3D database for learning Euler characteristics Sarma, Michael M
Reference 43
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EuLearn: A 3D database for learning Euler characteristics CRC Press, 2013
Reference 44
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EuLearn: A 3D database for learning Euler characteristics Whalen, A
Reference 45
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EuLearn: A 3D database for learning Euler characteristics Pointnet/pointnet++ pytorch, 2019
Reference 46
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EuLearn: A 3D database for learning Euler characteristics Point-bert: Pre-training 3d point cloud transformers with masked point modeling
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EuLearn: A 3D database for learning Euler characteristics Point transformer, 2021
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EuLearn: A 3D database for learning Euler characteristics Thingi10k: A dataset of 10,000 3d-printing models, 2016
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EuLearn: A 3D database for learning Euler characteristics Each object has a mesh (.stl), a scalar field (.txt), and a smoothed mesh (.stl)
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EuLearn: A 3D database for learning Euler characteristics The total number of files is 9 900, as each surface has 3 associated files
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EuLearn: A 3D database for learning Euler characteristics EULEARN: A 3D DATABASE FOR LEARNING EULER CHARACTERISTICS 33
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EuLearn: A 3D database for learning Euler characteristics This method randomly selects part of the data to train and to evaluate a model, saving these sets in a local directory, so the model can call the necessary batches one at a time
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