Paper Citation Record · LEDGER

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning

As of 21 July 2026, this Paper Citation Record lists 27 of 27 outbound references and 3 inbound Pith citation observations for arXiv:2604.11022.

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

pith.paper-citation-record.v1
2604.11022 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:16:57.611218Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T05:52:28.150626Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T08:36:48.471188Z

Reference resolution

27 of 27 outbound references displayed

verified exact4
verified fuzzy23
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dde78019-f7d7-4c0b-953c-34deccdfc57e · outbound

This paper cites Quantum machine learning.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Quantum machine learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.787013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 95c7dd5f-4a4d-4845-a7b5-86aae03ef59f · outbound

This paper cites Challenges and opportunities in quantum machine learning.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Challenges and opportunities in quantum machine learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.744417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 3d6963b2-2d61-451b-b443-481f5aae387b · outbound

This paper cites The quest for a quantum neural network.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning The quest for a quantum neural network

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.789911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 4b863ebd-f386-4fc7-9ed2-ae40e4da6b32 · outbound

This paper cites Next- generation quantum neural networks: Enhancing efficiency, security, and privacy.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Next- generation quantum neural networks: Enhancing efficiency, security, and privacy

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.796678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation ba333e7b-bafe-478e-a0c2-57682501a0c6 · outbound

This paper cites Qnn-vrcs: A quantum neural network for vehicle road cooperation systems.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Qnn-vrcs: A quantum neural network for vehicle road cooperation systems

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.776973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation e5ab32f8-1452-428d-80c8-0a760827312d · outbound

This paper cites FL-QDSNNs: Federated learning with quantum dynamic spiking neural networks.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning FL-QDSNNs: Federated learning with quantum dynamic spiking neural networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.757934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 4d538c2c-4b52-450a-9136-556599dab908 · outbound

This paper cites QFNN-FFD: Quantum federated neural network for financial fraud detection.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning QFNN-FFD: Quantum federated neural network for financial fraud detection

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.767881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation a34040e7-0b79-4c69-bc69-e7b98fe809c0 · outbound

This paper cites Quantum neural networks under threat: Modeling security risks and attack vectors.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Quantum neural networks under threat: Modeling security risks and attack vectors

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.771129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 444308d7-351c-468f-bbd0-b1482cca18e6 · outbound

This paper cites Lep-qnn: Loan eligibility prediction using quantum neural networks.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Lep-qnn: Loan eligibility prediction using quantum neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.780141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation f1be3fba-3d03-4f48-a24e-23b19bd011d8 · outbound

This paper cites Quantum machine learning in feature hilbert spaces.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Quantum machine learning in feature hilbert spaces

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.747978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation f9362668-6463-4a70-b1c9-385802c14db7 · outbound

This paper cites Quantum data encoding: A comparative analysis of classical-to-quantum mapping techniques and their impact on machine learning accuracy.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Quantum data encoding: A comparative analysis of classical-to-quantum mapping techniques and their impact on machine learning accuracy

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.751633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 583707a1-f770-46b6-9215-e51e677abee8 · outbound

This paper cites Sentiqnf: A novel approach to sentiment analysis using quantum algorithms and neuro-fuzzy systems.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Sentiqnf: A novel approach to sentiment analysis using quantum algorithms and neuro-fuzzy systems

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.800333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 4d7bfe9e-b6fc-4784-b6da-afa2214bef3b · outbound

This paper cites Fid-qae: A fidelity-driven quantum autoencoder for credit card fraud detection.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Fid-qae: A fidelity-driven quantum autoencoder for credit card fraud detection

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:05:58.557288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation a09eeb19-deb4-44f7-b573-6b45cadbfcdd · outbound

This paper cites Quantum vs. classical machine learning: A benchmark study for financial prediction.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Quantum vs. classical machine learning: A benchmark study for financial prediction

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:05:58.567304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation c1d0c1fa-05bb-4cfa-a256-ee68de5ccdb0 · outbound

This paper cites Q-spinn: A framework for quantizing spiking neural networks.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Q-spinn: A framework for quantizing spiking neural networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.741736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 20682dec-58f9-4f8b-83a1-2fa108947839 · outbound

This paper cites Fspinn: An optimization framework for memory-efficient and energy-efficient spiking neural networks.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Fspinn: An optimization framework for memory-efficient and energy-efficient spiking neural networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.792953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 5b81d044-12e5-47a2-8f54-953b57bc6b68 · outbound

This paper cites A hybrid spiking neural network-quantum framework for spatio-temporal data classification: a case study on eeg data.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning A hybrid spiking neural network-quantum framework for spatio-temporal data classification: a case study on eeg data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.783438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 70204932-69b3-452d-97aa-5b7b6f900500 · outbound

This paper cites A spiking neural network-quantum model for spatiotemporal data analysis: An experimental framework.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning A spiking neural network-quantum model for spatiotemporal data analysis: An experimental framework

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.738253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 5cd348f0-2e0f-4233-b33f-681002d489ec · outbound

This paper cites A quantum leaky integrate-and-fire spiking neuron and network.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning A quantum leaky integrate-and-fire spiking neuron and network

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.764051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 91670ae8-d71a-492d-8ca1-9a3647221e85 · outbound

This paper cites Quantum spiking neural networks for image classification.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Quantum spiking neural networks for image classification

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.732033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation b0cc2e94-fe2b-426e-9856-65186e495afe · outbound

This paper cites Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-15T02:21:56.815681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 1f9c10c1-0393-4b5b-be79-fc986616e92f · outbound

This paper cites Parameter efficient hybrid spiking-quantum convolu- tional neural network with surrogate gradient and quantum data-reupload.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Parameter efficient hybrid spiking-quantum convolu- tional neural network with surrogate gradient and quantum data-reupload

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:05:58.551078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation cee45f92-074b-41d9-8764-14848f19cb0c · outbound

This paper cites Algorithms for learning kernels based on centered alignment.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Algorithms for learning kernels based on centered alignment

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.774256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 8635e9b7-f551-43d3-add5-51924ad176d1 · outbound

This paper cites Pattern classification and scene analysis.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Pattern classification and scene analysis

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.755035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation a684727e-36a6-4d9f-b455-2225e702e61d · outbound

This paper cites Silhouettes: a graphical aid to the interpretation and validation of cluster analysis.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning Silhouettes: a graphical aid to the interpretation and validation of cluster analysis

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.728710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation d6580053-84c0-4d23-b4d4-409bd60e1773 · outbound

This paper cites A mathematical theory of communication.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning A mathematical theory of communication

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.760979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 5cc90814-b8d2-470b-ae91-be12a77924fd · outbound

This paper cites On approximating total variation distance.

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning On approximating total variation distance

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T16:09:56.735203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Pith citing papers

Observation 93bd0413-03c0-4e5a-8e5a-ffb10da31bc4 · inbound

Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation cites this paper.

Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:53:58.096730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 75b5f106-ac45-48d8-a690-136ff1c1a5a9 · inbound

A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction cites this paper.

A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-22T06:34:40.769246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 8b7a021e-26ea-4de7-a28c-cf88860c630f · inbound

QPredSGG: Hybrid Quantum Predicate Learning for Long-Tailed Scene Graph Generation cites this paper.

QPredSGG: Hybrid Quantum Predicate Learning for Long-Tailed Scene Graph Generation SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-02T08:36:48.472417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.