Paper Citation Record · LEDGER

High-Order Tensor Regression in Sparse Convolutional Neural Networks

As of 12 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2501.01239.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.01239 v5

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:39:23.139267Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

15 of 15 outbound references displayed

verified exact1
verified fuzzy13
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af210547-385d-4cde-bb8c-9a684d96d6d8 · outbound

This paper cites (2023) Neural Networks and Deep Learning: a Textbook, Springer-Verlag, 2nd ed.

High-Order Tensor Regression in Sparse Convolutional Neural Networks (2023) Neural Networks and Deep Learning: a Textbook, Springer-Verlag, 2nd ed

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:23.395631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c42acb2f-99a2-464e-b243-2afbe10dbc8f · outbound

This paper cites Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models.

High-Order Tensor Regression in Sparse Convolutional Neural Networks Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:39:23.197045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1f57cfc4-7f82-42cd-a704-99bba6283d6d · outbound

This paper cites & Bishop, H.

High-Order Tensor Regression in Sparse Convolutional Neural Networks & Bishop, H

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:23.380656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation def73ea4-713e-4f96-9598-acbadfc2c302 · outbound

This paper cites & Goldberg, S.

High-Order Tensor Regression in Sparse Convolutional Neural Networks & Goldberg, S

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:23.366008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7aba67ce-3a5e-487d-971e-9342d500028e · outbound

This paper cites & Wang, C.

High-Order Tensor Regression in Sparse Convolutional Neural Networks & Wang, C

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:23.350868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 92b0ad70-cbbf-452d-a64a-9eb3a2049ad2 · outbound

This paper cites et al (2024)Math and Architectures of Deep Learning, Man- ning Publications Co., 1st ed.

High-Order Tensor Regression in Sparse Convolutional Neural Networks et al (2024)Math and Architectures of Deep Learning, Man- ning Publications Co., 1st ed

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:23.334773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dd04fd27-8fda-4ea8-a6a4-c367b89b4678 · outbound

This paper cites (2021)Deep Learning with Python, Manning Publications Co., 2nd ed.

High-Order Tensor Regression in Sparse Convolutional Neural Networks (2021)Deep Learning with Python, Manning Publications Co., 2nd ed

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:23.319385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 82ee69d5-4974-4d92-9473-4942fa37c12c · outbound

This paper cites (2022)Tensorflow in Action, Manning Publications Co., 1st ed.

High-Order Tensor Regression in Sparse Convolutional Neural Networks (2022)Tensorflow in Action, Manning Publications Co., 1st ed

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:23.303731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 827b9ecd-ea9c-4c8d-b030-525965cbe539 · outbound

This paper cites (2023) Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Sys- tems, O’Reilly Media Inc., 3rd ed.

High-Order Tensor Regression in Sparse Convolutional Neural Networks (2023) Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Sys- tems, O’Reilly Media Inc., 3rd ed

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:23.288448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 14832f9d-9a43-4a64-982e-3cfdf3dbb579 · outbound

This paper cites et al (2016)Deep Learning, MIT Press, 1st ed.

High-Order Tensor Regression in Sparse Convolutional Neural Networks et al (2016)Deep Learning, MIT Press, 1st ed

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:23.272299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f7d5fc89-1a94-4268-9bfe-7892a391fdde · outbound

This paper cites et al (2017)The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer-Verlag, 2nd ed.

High-Order Tensor Regression in Sparse Convolutional Neural Networks et al (2017)The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer-Verlag, 2nd ed

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:23.257545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 167a86b5-e6ab-48cc-97bf-4c292dda0a46 · outbound

This paper cites Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory.

High-Order Tensor Regression in Sparse Convolutional Neural Networks Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:23.124503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cca4ff0-de12-41a1-b145-513833538102 · outbound

This paper cites et al (2020)Machine Learning for Predictive Data Analytics, MIT Press, 2nd ed.

High-Order Tensor Regression in Sparse Convolutional Neural Networks et al (2020)Machine Learning for Predictive Data Analytics, MIT Press, 2nd ed

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:23.242522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 552ee917-ba04-4e3e-97f4-a566ca40a3f7 · outbound

This paper cites et al (2024)Mathematical Engineering of Deep Learning, Chap- man and Hall/CRC, 1st ed.

High-Order Tensor Regression in Sparse Convolutional Neural Networks et al (2024)Mathematical Engineering of Deep Learning, Chap- man and Hall/CRC, 1st ed

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:23.227835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4e360156-2274-4f23-b502-72bd62de860d · outbound

This paper cites (1965)Calculus on Manifolds: a Modern Approach to Classical Theorems of Advanced Calculus, Perseus Books Publishing, 1st ed.

High-Order Tensor Regression in Sparse Convolutional Neural Networks (1965)Calculus on Manifolds: a Modern Approach to Classical Theorems of Advanced Calculus, Perseus Books Publishing, 1st ed

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:23.213213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.