Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:10:13.517314Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2506.11641.
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 2026-08-07T04:10:13.517314Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-02T08:02:44.126467Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T08:06:47.702779Z
30 of 30 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5c2c7414-6685-477f-8bbe-7b4d2bf64299 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Establishing strong imputation per- formance of a denoising autoencoder in a wide range of missing data problems
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c61ba711-f9b4-4bfd-ab01-74325c87864c · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective The gap between theory and practice in function approximation with deep neural networks
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb6505b1-3cbe-4afc-89a6-0b627260d356 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Simoncelli
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d6fecc3d-d8cf-41f4-8aa8-eae41d1eae51 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective An introduction to the proper orthogonal decomposition
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bc5bfe6f-262a-4acd-b92f-3639917bd07b · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Autoencoder-based network anomaly detection
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 30823648-d7f3-44b2-a90b-b7db262c0c9a · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective On the properties of neural machine translation: Encoder–decoder approaches
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7612f7c7-7b2b-4f9f-aa46-527f04164bbb · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective A course in functional analysis , volume 96
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 96612a51-42d2-40ee-8e8e-cfa70c041169 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Convergence rates for learning linear operators from noisy data
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4a891cf9-838a-4d2e-b1b1-f51ca272aceb · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Real analysis and probability
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a3e881ab-d876-41cc-b88e-d3b7315992db · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective The approximation of one matrix by another of lower rank.Psychometrika, 1(3):211–218, Sep 1936
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8d99d16f-e829-4a96-952c-1a8791fe5cf6 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective A deep learning approach to reduced order mod- elling of parameter dependent partial differential equations
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 732d05d5-c2b2-457c-a3e1-5a61523c0da7 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized pdes
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5b304994-4c8f-4945-a71d-047a7148403a · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Delving deep into rectifiers: Surpassing human-level performance on imagenet classification, 2015
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63e16739-52ea-499c-be81-dcb8b87a58b4 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Unresolved cited work
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d57e109-abe0-4455-94b1-d79d6cf96fd4 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Autoencoders, minimum description length and helmholtz free energy
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6037f3dd-3508-4ff6-83d9-02a1f87574cd · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Unresolved cited work
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bf3033a7-f31d-4f9d-9808-87a588492a9d · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Nonlinear principal component analysis using autoassociative neural networks
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 04b29845-5ec2-44a0-8b43-9676ce0e96a7 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Error estimates for deeponets: A deep learning framework in infinite dimensions
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6909f766-6e80-4a98-bece-bc9957a88dab · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Unresolved cited work
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 51daa8c6-e0cf-4889-8fee-3dfd3f872d45 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective M¨ ucke, Sander M
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5d3e6670-82de-4f7d-9b28-5aa695a9b2e7 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Nguyen, Raymond K
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5004cb5d-fce3-4a71-8c54-e7811e05c348 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Otto, Gregory R
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e652200c-b8d9-4ee7-bcb7-4e06494c05c1 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Deep learning for reduced order modelling and efficient temporal evolution of fluid simulations
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5775224c-85a1-46e5-8faf-8b6faef23f44 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Pytorch: An imperative style, high-performance deep learning library
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaa789cd-6924-488e-88f6-7a29014aad74 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective A graph convolutional autoencoder approach to model order reduction for parametrized pdes
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 909e8ad7-ca47-455e-8c7a-b849abe64075 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Reduced basis methods for partial differential equations: an introduction , volume 92
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29ca52e3-3677-4695-a0fc-0336bee46490 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Methods of modern mathematical physics
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e2925e3e-d99d-431b-b13e-f5b3cdb96bc7 · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Zur theorie der linearen und nichtlinearen integralgleichungen
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2e50d185-8c33-4399-aeb0-d9c870b4c57f · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Invertible autoencoder for domain adaptation
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 80cee7c2-6c11-4546-a10e-8e8c1ed6a2af · outbound
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective Unresolved cited work
Reference 1992
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 795744e7-9b76-426a-bc08-eb0965814ab9 · inbound
Convolutional Symmetric AutoEncoders: enhancing latent stability via differential geometry Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.