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Paper Citation Record · LEDGER

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models

As of 19 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2507.12775.

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

pith.paper-citation-record.v1
2507.12775 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:44:20.545785Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:38:35.388503Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T16:38:35.609242Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy28
  • unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f85e49f3-ca89-434c-a2a3-ea5508f84ec6 · outbound

This paper cites Entanglement-based quantum information technology: a tutorial.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Entanglement-based quantum information technology: a tutorial

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c2f47159-23a5-4745-9ec5-b5956cc85032 · outbound

This paper cites Modern Quantum Theory: From Quantum Mechanics to En- tanglement and Quantum Information.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Modern Quantum Theory: From Quantum Mechanics to En- tanglement and Quantum Information

Reference 2

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raw_fallback, observed 2026-08-06T16:44:25.114470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 078e9254-ef06-402a-96be-2c912bda73d9 · outbound

This paper cites Experimental tests of realistic local theories via bell’s theorem.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Experimental tests of realistic local theories via bell’s theorem

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3d47d742-8d88-4362-961c-ee93705b6517 · outbound

This paper cites Experimental tests of bell’s inequalities: a first-hand account by alain aspect.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Experimental tests of bell’s inequalities: a first-hand account by alain aspect

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T16:44:18.012530Z digest=sha256:b5996b0e80b46b7a1f93fed213274f9b8f52d85c3f0f6ce3c00312bf135bc36c

Observation 9f0f240b-72e6-474a-8955-a524336c7bee · outbound

This paper cites A secure and privacy-preserving signature protocol using quantum teleportation in metaverse environment.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models A secure and privacy-preserving signature protocol using quantum teleportation in metaverse environment

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3d272a41-311d-4d8a-9019-f5305dcbc36f · outbound

This paper cites Securing blockchain transactions using quantum teleportation and quantum digital signature.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Securing blockchain transactions using quantum teleportation and quantum digital signature

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-06T16:44:24.607997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 18a2cb8d-714b-4f45-8bbd-2b9b6401ba75 · outbound

This paper cites Navigating complex multiclass classification in high-dimensional spaces: A hybrid approach.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Navigating complex multiclass classification in high-dimensional spaces: A hybrid approach

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 27c09ad9-5e46-463a-80ef-ae0cf51907e5 · outbound

This paper cites The future of adaptive machine learning algorithms in high-dimensional data processing.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models The future of adaptive machine learning algorithms in high-dimensional data processing

Reference 8

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raw_fallback, observed 2026-08-06T16:44:24.274746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T16:44:18.463505Z digest=sha256:bbcc856c81be984e86ace5494a45e27b362e155378a5fc8801517851d51378d0

Observation 3a2c9a6a-78a5-4d2a-a84a-b49e8d089c01 · outbound

This paper cites Scalable neural network algorithms for high dimensional data.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Scalable neural network algorithms for high dimensional data

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f1c520e1-cac0-437c-abd5-e0f45ca763f9 · outbound

This paper cites Nonlinear approximation and (deep) relu networks.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Nonlinear approximation and (deep) relu networks

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 091952ab-bd68-4dd2-9135-99f497efd0ac · outbound

This paper cites Adaptive neural network control for a class of nonlinear systems with function constraints on states.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Adaptive neural network control for a class of nonlinear systems with function constraints on states

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 611a7c20-f0d4-4857-89d0-bf28007316c1 · outbound

This paper cites Convxgb: A new deep learning model for classification problems based on cnn and xgboost.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Convxgb: A new deep learning model for classification problems based on cnn and xgboost

Reference 12

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raw_fallback, observed 2026-08-06T16:44:23.754742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 539b00e3-dd55-4a92-b1dc-616ab097e634 · outbound

This paper cites Tree boosting with xgboost-why does xgboost win” every” machine learning compe- tition? Master’s thesis, NTNU, 2016.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Tree boosting with xgboost-why does xgboost win” every” machine learning compe- tition? Master’s thesis, NTNU, 2016

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 59b2a6cf-8f99-4f3a-8799-75b58c66e519 · outbound

This paper cites Extremely randomized trees.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Extremely randomized trees

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 96293cff-8318-4256-ba45-3701de12806c · outbound

This paper cites Online extra trees regressor.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Online extra trees regressor

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T16:44:19.375837Z digest=sha256:a6ea30e23e0a646fd4dd9dc23328d7347a641dd74df3d61aba78a5c335e08fcf

Observation bccab34b-4082-4c58-95ae-18e5137b1a17 · outbound

This paper cites Multistrategy ensemble learning: Reducing error by combining ensemble learning techniques.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Multistrategy ensemble learning: Reducing error by combining ensemble learning techniques

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3e40b750-7880-4d51-8989-5b732b6d13a9 · outbound

This paper cites A survey of ensemble learning: Concepts, algorithms, applications, and prospects.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models A survey of ensemble learning: Concepts, algorithms, applications, and prospects

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cdef69a3-26f3-4dfa-9454-2ea0a44865b9 · outbound

This paper cites An improved ensemble learning method for classifying high-dimensional and imbalanced biomedicine data.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models An improved ensemble learning method for classifying high-dimensional and imbalanced biomedicine data

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 283cbb4d-4d6a-4435-8e8c-e45db6076d34 · outbound

This paper cites High-dimensional ensemble learning classification: An ensemble learn- ing classification algorithm based on high-dimensional feature space reconstruction.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models High-dimensional ensemble learning classification: An ensemble learn- ing classification algorithm based on high-dimensional feature space reconstruction

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 72a083aa-0c48-4188-be5a-17920f5031a8 · outbound

This paper cites Mathematics of neural networks: models, algorithms and applications, volume 8.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Mathematics of neural networks: models, algorithms and applications, volume 8

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1655e035-ae4d-4dbb-8151-4d84d092cfde · outbound

This paper cites Learning of neural networks based on weighted mean squares error function.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Learning of neural networks based on weighted mean squares error function

Reference 21

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raw_fallback, observed 2026-08-06T16:44:21.950978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 72212250-3631-4fb8-b366-db0f29c72a8a · outbound

This paper cites Multi-loss regularized deep neural network.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Multi-loss regularized deep neural network

Reference 22

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raw_fallback, observed 2026-08-06T16:44:21.779599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T16:44:20.090160Z digest=sha256:3a2bdfd9cc0a7195b439e98ffc58572003da355fa84828dfeb1373fb7e3b34ac

Observation 94d29796-df28-4362-9ade-7daff494122c · outbound

This paper cites Novel feature-based difficulty prediction method for math- ematics items using xgboost-based shap model.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Novel feature-based difficulty prediction method for math- ematics items using xgboost-based shap model

Reference 23

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raw_fallback, observed 2026-08-06T16:44:21.554075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T16:44:20.143369Z digest=sha256:f87bd3dbd5395e7012726190ca7fac58ffac3c6b83b2f5ceb8f1afca7e8945fb

Observation 9bebc60d-4ea8-441d-9fc7-ede1de425aca · outbound

This paper cites Catboost for big data: an interdisciplinary review.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Catboost for big data: an interdisciplinary review

Reference 24

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raw_fallback, observed 2026-08-06T16:44:21.418614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T16:44:20.260501Z digest=sha256:aab0e82efbecd71f213f8c3784f821a2168a4bf09c6b9c9f2ef04e416f44b12a

Observation 53d59d1e-8bfa-4ed4-8c8b-f75935afd780 · outbound

This paper cites Comparison of the catboost classifier with other machine learning methods.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Comparison of the catboost classifier with other machine learning methods

Reference 25

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raw_fallback, observed 2026-08-06T16:44:21.240424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T16:44:20.327081Z digest=sha256:f01e8c8e8d7adf5d568efa18f0fd9c98d6274c1fa1fc95a0c0efd7f4ec35c8eb

Observation 9fe516fd-86f8-40a5-81e1-afc3b4743d55 · outbound

This paper cites Computable measure of entanglement.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Computable measure of entanglement

Reference 26

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raw_fallback, observed 2026-08-06T16:44:21.056690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T16:44:20.398759Z digest=sha256:b8eaba6958581e1f49fbd34dffe24ee1cd8b346222c5bc7cfe98801379738e19

Observation 357dda53-6b23-415a-95f7-46982bb3ed33 · outbound

This paper cites Entanglement negativity in quantum field theory.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Entanglement negativity in quantum field theory

Reference 27

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raw_fallback, observed 2026-08-06T16:44:20.915555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T16:44:20.473885Z digest=sha256:90d1bf73b099a9981bf0a49318b41476f7783e74f32b4d8cf583ead324d29886

Observation 5a88c860-9ffd-4983-9a7a-d3c93c0c2e29 · outbound

This paper cites Measures and applications of quantum correlations.

Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models Measures and applications of quantum correlations

Reference 28

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raw_fallback, observed 2026-08-06T16:44:20.734080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T16:44:20.545785Z digest=sha256:b416089caa6971d967f2512bc23f8cce8a209a058fdc14d21a1e241778c83332

Pith citing papers

Observation 8cdbadc4-f7a3-4cfd-9df7-2bce09acec20 · inbound

Scalable Entanglement Detection in Quantum Systems via Fisher Linear Discriminant Analysis cites this paper.

Scalable Entanglement Detection in Quantum Systems via Fisher Linear Discriminant Analysis Detecting Entanglement in High-Spin Quantum Systems via a Stacking Ensemble of Machine Learning Models

Reference 40

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local_arxiv, observed 2026-08-15T16:38:35.631364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T16:38:35.388503Z digest=sha256:63f977b3c66d4f1a95f3931333d5f43d19ec25e9408a410298f5e68811382d71