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Paper Citation Record · LEDGER

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns

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.

pith.paper-citation-record.v1
2411.08164 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T22:00:16.783439Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

22 of 22 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a3f4a44c-aa14-4e29-9526-67b87f9e5de1 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Semi-Supervised Classification with Graph Convolutional Networks

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T22:00:16.742130Z digest=sha256:7ace824f94d8938ba98d45b0c191f0c8483b802409da3a4bbbbe5b6a4952f6fa

Observation 6b5673c8-74b3-4b7a-be88-97f9db005e4f · outbound

This paper cites toronto.edu/~kriz/learning-features-2009-TR.pdf.

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns toronto.edu/~kriz/learning-features-2009-TR.pdf

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-12T22:00:16.955760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T22:00:16.745424Z digest=sha256:bf1082b826042089186db1fa3fb182b45be0c5514834f2c8be6f7563e707c551

Observation ec21c63e-57db-4523-8298-fe51bf313957 · outbound

This paper cites The specific experimental results are shown in Tab.

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns The specific experimental results are shown in Tab

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-12T22:00:16.903289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T22:00:16.776950Z digest=sha256:3f7b3bcd04aaf6df500aae700e3b6a42a36484c9c31c24e7fcb2fe5cd19c30f3

Observation 34a22ac0-655b-41b8-8393-dd9bceb12809 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T22:00:16.755839Z digest=sha256:397f7b843add399af79883e63abea2857e98a5ff682a91a12a2fd3049937461c

Observation ab20d7e1-86d0-47de-8534-2ebe5cc80432 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Efficient Estimation of Word Representations in Vector Space

Reference 14

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no resolver link, observed 2026-08-12T22:00:16.758619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T22:00:16.758619Z digest=sha256:7de05e11f45f2e2be97130f4e27e5df97950d302dc8a86452ccf31e8b9b34a7a

Observation 625ee8c5-0977-478a-86d3-d959d12c5316 · outbound

This paper cites Automated flower classification over a large number of classes.

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Automated flower classification over a large number of classes

Reference 15

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unresolved
no resolver link, observed 2026-08-12T22:00:16.761644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T22:00:16.761644Z digest=sha256:e7ce6b0ef027a0241d059f3f8cd22ea1a56d5ea21890737d2eeab8ac43f3d448

Observation c2a167f0-6144-42bc-9f3b-5e6beda1b0c9 · outbound

This paper cites URLOST: Unsupervised Representation Learning without Stationarity or Topology.

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns URLOST: Unsupervised Representation Learning without Stationarity or Topology

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-12T22:00:16.821712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T22:00:16.767769Z digest=sha256:4326f5ca1342766a0e49bfb2e09f9a93d2034c26d54deb4f2768b1771cbad275

Observation 2d15e2b3-c795-4a0f-aa93-4e79a6f4a202 · outbound

This paper cites Here we test GCN only on data without FRPs.

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Here we test GCN only on data without FRPs

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-12T22:00:16.922389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation fdb88332-8e2d-4341-8ab8-27538db8a3c8 · outbound

This paper cites The dataset contains 5,118 rows of measurements from two centrifugal pumps from the same manufacturer.

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

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verified fuzzy
raw_fallback, observed 2026-08-12T22:00:16.894364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0ebc87b9-9801-467b-8393-0d93f45fe3c5 · outbound

This paper cites an unresolved cited work.

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation df242700-75de-4af5-824a-65acad9ba4b3 · outbound

This paper cites an unresolved cited work.

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Unresolved cited work

Reference 48

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unresolved
raw_fallback, observed 2026-08-12T22:00:16.912490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T22:00:16.774219Z digest=sha256:010ff4b106cd319a2f6eaf5a8841ee9631116fa0ad5d032eba3e56f147cbce89

Observation 4df40500-c9a4-40fe-9c64-99564ece8d70 · outbound

This paper cites Modeling relational data with graph convolutional networks.

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Modeling relational data with graph convolutional networks

Reference 1986

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T22:00:16.931942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T22:00:16.764786Z digest=sha256:5badcfe75cb7d57452a1cfe7a09149b49480543538be140a7e1b91983dc574b2

Observation c662f564-783e-4a96-8f02-ddfcf859455d · outbound

This paper cites 11 Jin-Hwa Kim, Jaehyun Jun, and Byoung-Tak Zhang.

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

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unresolved
no resolver link, observed 2026-08-12T22:00:16.738819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T22:00:16.738819Z digest=sha256:5e8c84b8ffe19fc6488b5af01ba16b64b5482bb47ae9a842d64172a86aaf767a

Observation c2a368d1-82d3-4172-b949-2aebca0582ec · outbound

This paper cites Pre-trained cnns as visual feature extractors: A broad evaluation.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T22:00:16.964878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T22:00:16.735562Z digest=sha256:863601a992bcf0e9e789a5569fa105b004c19a5677dec93e8561473f56448875

Observation 981c186b-9fe9-4bcf-ae21-9b2f1fa90510 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

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

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no resolver link, observed 2026-08-12T22:00:16.721369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T22:00:16.721369Z digest=sha256:53403dfdd2d56eb18227ab59ff206f672368520b00d89e32872e9e10c7e9b457

Observation 97618bc1-7fad-4e97-b6c3-dcc6eee4142e · outbound

This paper cites Feature selection via mutual information: New theoretical insights.

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Feature selection via mutual information: New theoretical insights

Reference 2013

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T22:00:16.978763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T22:00:16.714364Z digest=sha256:3d98040e20cb29e1516d5065a272b058ee75eb43d6e11b6978de1dbef8679cbe

Observation ee27b450-38f3-49bc-9126-d3638b15a528 · outbound

This paper cites doi: 10.1007/s11222-016-9646-1.

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns doi: 10.1007/s11222-016-9646-1

Reference 2017

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no resolver link, observed 2026-08-12T22:00:16.732265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T22:00:16.732265Z digest=sha256:258c163da4f6c81220ec9a4e3597ec5d7a524294067cbca42cf7751d069d832b

Observation a380a023-d142-4360-913e-c3cff364704e · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

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

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no resolver link, observed 2026-08-12T22:00:16.724803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T22:00:16.724803Z digest=sha256:cb8d0bfe1702fb5e820a91130865dcd094b774ce7645ac20f8ac5c8a17e47abe

Observation 85606038-8ae8-4cde-9885-7ab7dc1aa140 · outbound

This paper cites Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding.

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

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unresolved
no resolver link, observed 2026-08-12T22:00:16.728430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T22:00:16.728430Z digest=sha256:586310417878b1a91c017e0c88ead11be621d7a08ab3494c6b0be511d953b7bd

Observation e244996e-877a-4e9b-a861-3c957c38762d · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns Imagenet: A large-scale hierarchical image database

Reference 2022

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unresolved
no resolver link, observed 2026-08-12T22:00:16.717928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T22:00:16.717928Z digest=sha256:ba2896b5fab3113b6543e51b96335678c2f1016ee49a5d1d00d55ad65f78e7da

Observation 2b5e99f4-7bc9-402a-9edc-43a3ded56558 · outbound

This paper cites KAN 2.0: Kolmogorov-Arnold Networks Meet Science.

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns KAN 2.0: Kolmogorov-Arnold Networks Meet Science

Reference 2023

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no resolver link, observed 2026-08-12T22:00:16.748661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 45b4ea08-7338-476e-b98f-6e8eed4c9f0a · outbound

This paper cites Lung cancer prediction model using ensemble learning techniques and a systematic review analysis.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T22:00:16.945859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T22:00:16.752224Z digest=sha256:1bf19ec258cfd281410b4917afab859ae3f992b4dee649d3991a065bc4dadf17

Pith citing papers

No inbound Pith citation observations are available.