Paper Citation Record · LEDGER

Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models

As of 12 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 1 inbound Pith citation observation for arXiv:2411.12873.

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

pith.paper-citation-record.v1
2411.12873 v5

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:10:29.818382Z

measured 11 of 11 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:39:23.075253Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T22:39:23.189341Z

Reference resolution

10 of 10 outbound references displayed

verified exact0
verified fuzzy4
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c0e3cdb-3df9-44e1-b179-cb30c905c5b5 · outbound

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

Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models (2022)Tensorflow in Action, Manning Publications Co., 1st ed

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T17:10:29.773976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75d89df3-fdb2-46e1-bed4-07e4ebe122eb · 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.

Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models (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 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:10:29.967656Z

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 0459987a-b7b5-460e-ac97-f5d0dddb1f83 · outbound

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

Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models et al (2016)Deep Learning, MIT Press, 1st ed

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T17:10:29.784661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a149b296-ce09-4f87-9403-fce412b57b57 · outbound

This paper cites (1987)Numerical Methods for Scientists and Engineers, Dover Publications, 2nd ed.

Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models (1987)Numerical Methods for Scientists and Engineers, Dover Publications, 2nd ed

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:10:29.941095Z

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 edfe556b-cc89-4c1d-aba5-ff9ce013d4b6 · outbound

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

Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models et al (2017)The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer-Verlag, 2nd ed

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T17:10:29.793977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8285d607-9cfa-4fc9-976d-ee84a089d451 · outbound

This paper cites (1987)Introduction to Numerical Analysis, Dover Publica- tions, 2nd ed.

Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models (1987)Introduction to Numerical Analysis, Dover Publica- tions, 2nd ed

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:10:29.914941Z

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 bdd03fa9-d27c-482c-a909-ff4e06ffc9dc · outbound

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

Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models et al (2020)Machine Learning for Predictive Data Analytics, MIT Press, 2nd ed

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T17:10:29.804002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5746a3b0-74a3-4ae2-9ce0-a8971ab18dad · outbound

This paper cites an unresolved cited work.

Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:10:29.887151Z

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 a70eaa15-699c-445d-8b2d-b70d5b6713e8 · outbound

This paper cites an unresolved cited work.

Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:10:29.871913Z

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 94cee0a3-60cb-4fe1-bd1b-5832f36ac477 · outbound

This paper cites & Bulirsch, R.

Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models & Bulirsch, R

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:10:29.855686Z

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

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

High-Order Tensor Regression in Sparse Convolutional Neural Networks cites this paper.

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.