Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T22:00:16.783439Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2411.08164.
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 2026-08-12T22:00:16.783439Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
22 of 22 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a3f4a44c-aa14-4e29-9526-67b87f9e5de1 · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Semi-Supervised Classification with Graph Convolutional Networks
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b5673c8-74b3-4b7a-be88-97f9db005e4f · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns toronto.edu/~kriz/learning-features-2009-TR.pdf
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ec21c63e-57db-4523-8298-fe51bf313957 · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns The specific experimental results are shown in Tab
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 34a22ac0-655b-41b8-8393-dd9bceb12809 · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab20d7e1-86d0-47de-8534-2ebe5cc80432 · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Efficient Estimation of Word Representations in Vector Space
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 625ee8c5-0977-478a-86d3-d959d12c5316 · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Automated flower classification over a large number of classes
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2a167f0-6144-42bc-9f3b-5e6beda1b0c9 · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns URLOST: Unsupervised Representation Learning without Stationarity or Topology
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2d15e2b3-c795-4a0f-aa93-4e79a6f4a202 · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Here we test GCN only on data without FRPs
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fdb88332-8e2d-4341-8ab8-27538db8a3c8 · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns The dataset contains 5,118 rows of measurements from two centrifugal pumps from the same manufacturer
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0ebc87b9-9801-467b-8393-0d93f45fe3c5 · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Unresolved cited work
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation df242700-75de-4af5-824a-65acad9ba4b3 · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Unresolved cited work
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4df40500-c9a4-40fe-9c64-99564ece8d70 · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Modeling relational data with graph convolutional networks
Reference 1986
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c662f564-783e-4a96-8f02-ddfcf859455d · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns 11 Jin-Hwa Kim, Jaehyun Jun, and Byoung-Tak Zhang
Reference 1989
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2a368d1-82d3-4172-b949-2aebca0582ec · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Pre-trained cnns as visual feature extractors: A broad evaluation
Reference 1998
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 981c186b-9fe9-4bcf-ae21-9b2f1fa90510 · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 2009
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97618bc1-7fad-4e97-b6c3-dcc6eee4142e · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Feature selection via mutual information: New theoretical insights
Reference 2013
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ee27b450-38f3-49bc-9126-d3638b15a528 · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns doi: 10.1007/s11222-016-9646-1
Reference 2017
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a380a023-d142-4360-913e-c3cff364704e · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 2018
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85606038-8ae8-4cde-9885-7ab7dc1aa140 · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Reference 2020
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e244996e-877a-4e9b-a861-3c957c38762d · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Imagenet: A large-scale hierarchical image database
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b5e99f4-7bc9-402a-9edc-43a3ded56558 · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns KAN 2.0: Kolmogorov-Arnold Networks Meet Science
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45b4ea08-7338-476e-b98f-6e8eed4c9f0a · outbound
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Lung cancer prediction model using ensemble learning techniques and a systematic review analysis
Reference 2024
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
No inbound Pith citation observations are available.