Paper Citation Record · LEDGER

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection

As of 23 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2505.00137.

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

pith.paper-citation-record.v1
2505.00137 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:54:09.870833Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:25:28.156185Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T14:50:04.480962Z

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy9
unresolved11
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf637f6d-aa50-4998-8f8c-b3c5e834def8 · outbound

This paper cites Learning temporal representation of transaction amount for fraudulent transaction recognition using cnn, stacked lstm, and cnn-lstm,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Learning temporal representation of transaction amount for fraudulent transaction recognition using cnn, stacked lstm, and cnn-lstm,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:54:10.208284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a2ab4720-9e27-44f9-b01a-95c246b12e9f · outbound

This paper cites Learning sequential behavior repre- sentations for fraud detection,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Learning sequential behavior repre- sentations for fraud detection,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T04:54:09.770323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d6599ca-895e-41c2-a82b-4242052d65e9 · outbound

This paper cites Spatio- temporal attention-based neural network for credit card fraud detection,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Spatio- temporal attention-based neural network for credit card fraud detection,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T04:54:09.775372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d95ef42e-c3ae-42cf-b514-59dbed78f751 · outbound

This paper cites A financial fraud detection model based on lstm deep learning technique,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection A financial fraud detection model based on lstm deep learning technique,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:54:10.172151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 802d4c5b-a4f4-4d88-a0c2-ad473ce33b80 · outbound

This paper cites Enhanced credit card fraud detection based on attention mechanism and lstm deep model,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Enhanced credit card fraud detection based on attention mechanism and lstm deep model,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:54:10.156351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bf7998f2-4f48-4e53-82ba-7ccde774f27e · outbound

This paper cites Mixed quantum–classical method for fraud detection with quantum feature selection,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Mixed quantum–classical method for fraud detection with quantum feature selection,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:54:09.790728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2188a45a-a603-4066-ab4f-bad5ae3a4251 · outbound

This paper cites Unsupervised quantum machine learning for fraud detection.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Unsupervised quantum machine learning for fraud detection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:54:09.796365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcadcad3-d33a-4666-aeeb-2efacec2e20b · outbound

This paper cites Financial fraud detection using quantum graph neural networks,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Financial fraud detection using quantum graph neural networks,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T04:54:09.801600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e26917-5bc9-41eb-9f7f-20b52ba6871b · outbound

This paper cites Integrating machine learning algorithms with quantum annealing solvers for online fraud detection,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Integrating machine learning algorithms with quantum annealing solvers for online fraud detection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:54:10.119717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0b169d7f-0196-46cc-8854-d28f52d4f1cc · outbound

This paper cites QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T04:54:09.811638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffad6b5c-03ca-4de8-b2c2-9994ca846ecf · outbound

This paper cites Quantum long short-term memory (qlstm) vs. classical lstm in time series forecasting: a comparative study in solar power forecasting,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Quantum long short-term memory (qlstm) vs. classical lstm in time series forecasting: a comparative study in solar power forecasting,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:54:10.103717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e09e75a-fa5c-43bf-bd21-b26623a11a2d · outbound

This paper cites Expressibility and entangling capability of parameterized quantum circuits for hybrid quantum-classical algorithms,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Expressibility and entangling capability of parameterized quantum circuits for hybrid quantum-classical algorithms,

Reference 12

Resolution: malformed identifier; no resolver link, observed 2026-08-16T04:54:09.821541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38e4c662-4fa0-4586-97bd-e39a2be966a8 · outbound

This paper cites Long short-term memory,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Long short-term memory,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:54:09.826670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 118d34e1-9758-473a-8a72-782e85ce0924 · outbound

This paper cites Goodfellow, Y.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Goodfellow, Y

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:54:09.831454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 562482dd-b312-46ba-8ed8-e54f2e1f0864 · outbound

This paper cites Quantum long short-term memory,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Quantum long short-term memory,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:54:10.067196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 209e920d-cc68-42a5-a7d1-8054f2615139 · outbound

This paper cites Quantum machine learning,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Quantum machine learning,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:54:09.841375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82dbded8-70e4-4cc5-a3e9-9ffe1505a775 · outbound

This paper cites Quantum machine learning in feature hilbert spaces,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Quantum machine learning in feature hilbert spaces,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:54:10.041004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 519e255b-3e80-4f98-92a0-c4f8352da59c · outbound

This paper cites Supervised learning with quantum-enhanced feature spaces,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Supervised learning with quantum-enhanced feature spaces,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:54:10.024402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dd5c1b3e-966e-456a-b47e-bdf024b9af32 · outbound

This paper cites Quantum circuit learning,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Quantum circuit learning,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T04:54:09.855775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acbb98d9-04c2-49df-b3c6-e7487e6de7a0 · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations,.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection PennyLane: Automatic differentiation of hybrid quantum-classical computations,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:54:09.997639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 253dbf86-6db3-43d3-9e12-fb3b11fbb5c5 · outbound

This paper cites A survey of recent studies concerning the extreme properties of Morris-Thorne wormholes.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection A survey of recent studies concerning the extreme properties of Morris-Thorne wormholes

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T04:54:09.945325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c5f12277-4b46-48b7-89f6-8f0d754df477 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection Adam: A Method for Stochastic Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T04:54:09.870833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1928470d-5e21-4e10-8994-6f4ec550a9ae · inbound

CircuitHunt: Automated Quantum Circuit Screening for Superior Credit-Card Fraud Detection cites this paper.

CircuitHunt: Automated Quantum Circuit Screening for Superior Credit-Card Fraud Detection Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T14:25:28.156185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b2822b1-6abd-43d7-a514-f25ff18feeb7 · inbound

A Mixture-of-Experts Framework for Practical Hybrid-Quantum Models in Credit Card Fraud Detection cites this paper.

A Mixture-of-Experts Framework for Practical Hybrid-Quantum Models in Credit Card Fraud Detection Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:50:04.484396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.