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Paper Citation Record · LEDGER

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks

As of 17 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2412.02293.

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

pith.paper-citation-record.v1
2412.02293 v2

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:44:03.434749Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:51:20.768136Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:51:20.941289Z

Reference resolution

61 of 61 outbound references displayed

  • verified exact1
  • verified fuzzy33
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34ef4048-7af7-434d-b55f-3508534bb41e · outbound

This paper cites Quantum-inspired neural networks for advanced ai applications-a scholarly review of quantum computing techniques in neural network design,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Quantum-inspired neural networks for advanced ai applications-a scholarly review of quantum computing techniques in neural network design,

Reference 1

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ed708783-6964-49eb-8ec8-23af0b8d6bff · outbound

This paper cites The quest for a quantum neural network,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks The quest for a quantum neural network,

Reference 2

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raw_fallback, observed 2026-08-11T23:44:07.395586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:02.255840Z digest=sha256:07b9fe752a7d71d7eb47a73df8b094ff43f0690631d253822c559533e47c173a

Observation 240ed9ac-34c5-4688-b491-18a71b1c7b8d · outbound

This paper cites An introduction to quantum machine learning,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks An introduction to quantum machine learning,

Reference 3

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raw_fallback, observed 2026-08-11T23:44:07.314034Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ed3612ce-870c-40f8-8924-12af4d28cbb9 · outbound

This paper cites Quantum machine learning,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Quantum machine learning,

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:44:02.268016Z digest=sha256:401b8b13d2dbe65b80ef3cfdcdbdddd803f7b37b36bc02025f7e12456cd74d75

Observation 28193ac8-a664-42e7-b09f-0925262198e2 · outbound

This paper cites A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead

Reference 5

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Observation 38a9bb89-a581-4ecb-8629-a37bc60c12e8 · outbound

This paper cites Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2d9f5e03-9cfb-4cc5-8caa-325aa44c8c6a · outbound

This paper cites Power of data in quantum machine learning,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Power of data in quantum machine learning,

Reference 7

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Observation b492bdbe-bf89-42f9-89e3-fa7c271cd302 · outbound

This paper cites Systematic literature review: Quantum machine learning and its applications,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Systematic literature review: Quantum machine learning and its applications,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:02.325596Z digest=sha256:450afc1f318a92f8588657e26d76bde582d5f1299e3d0d2e16a86252c846cf84

Observation 363f8146-3906-4b6a-a24d-8cfb793eba7b · outbound

This paper cites The power of quantum neural networks,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks The power of quantum neural networks,

Reference 9

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source=pdf_text observed=2026-08-11T23:44:02.364743Z digest=sha256:fa67192672bb359723a627732ec6e5139ab10282c5a379c891fd26d239c7eb05

Observation a343fde5-2464-443e-ad69-0b45c9a7483e · outbound

This paper cites Enhancing quantum support vector machines through variational kernel training,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Enhancing quantum support vector machines through variational kernel training,

Reference 10

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Observation fddd5e1d-6a50-4feb-9159-8f60ad0f1b32 · outbound

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

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Financial fraud detection using quantum graph neural networks,

Reference 11

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no resolver link, observed 2026-08-11T23:44:02.400812Z

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source=pdf_text observed=2026-08-11T23:44:02.400812Z digest=sha256:54a0096e3954337d9087820a82799c3b8a06e18dcc70f88c0d23ccd7ee78bc1d

Observation 2e3d6443-a39f-4119-b391-8447b0831093 · outbound

This paper cites Financial fraud detection: a comparative study of quantum machine learning models,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Financial fraud detection: a comparative study of quantum machine learning models,

Reference 12

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no resolver link, observed 2026-08-11T23:44:02.409853Z

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source=pdf_text observed=2026-08-11T23:44:02.409853Z digest=sha256:37bce27d9ea7bb54b2ad70763ea84a72dd28bb907613a4e9207754e02865f702

Observation 603a102c-0bc6-481f-ab8f-2e50b08c14e3 · outbound

This paper cites Resource allocation optimization in 5g networks using variational quantum regressor,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Resource allocation optimization in 5g networks using variational quantum regressor,

Reference 13

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no resolver link, observed 2026-08-11T23:44:02.424749Z

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Observation bf542067-b7cd-4e61-83eb-0cda43641433 · outbound

This paper cites Quantum computing for electronic structure analysis: Ground state energy and molecular properties calculations,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Quantum computing for electronic structure analysis: Ground state energy and molecular properties calculations,

Reference 14

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raw_fallback, observed 2026-08-11T23:44:06.485274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5f926809-761d-40b0-8392-9d7ba49731ad · outbound

This paper cites Resqnets: a residual approach for mitigating barren plateaus in quantum neural networks,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Resqnets: a residual approach for mitigating barren plateaus in quantum neural networks,

Reference 15

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Observation cf452fef-0e88-4727-a837-5ac14054755d · outbound

This paper cites Quantum state tomography using quantum machine learning,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Quantum state tomography using quantum machine learning,

Reference 16

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no resolver link, observed 2026-08-11T23:44:02.464701Z

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Observation 1eb3b81f-1d00-4c1a-a445-b5ce391b4eb4 · outbound

This paper cites Qadqn: Quantum attention deep q-network for financial market prediction,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Qadqn: Quantum attention deep q-network for financial market prediction,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5f9b0c62-b8a2-4a6f-9817-c4bf444a7e3d · outbound

This paper cites AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling

Reference 18

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Observation 1c8769cb-30e4-4ca2-a9c3-85dd06ead189 · outbound

This paper cites Optimizing low-energy carbon iiot systems with quantum algorithms: Performance evaluation and noise robustness,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Optimizing low-energy carbon iiot systems with quantum algorithms: Performance evaluation and noise robustness,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 98c01cfd-0481-4f56-baa1-bd34abf8ee31 · outbound

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

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Qnn-vrcs: A quantum neural network for vehicle road cooperation systems,

Reference 20

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source=pdf_text observed=2026-08-11T23:44:02.624750Z digest=sha256:1b1f2440014bc1c43adb9ef30d6b929d4cbe732f2fd7ed744fc01c40d76edfbf

Observation 4ee74082-9e7e-4dc2-8578-995ffd41c599 · outbound

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

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Sentiqnf: A novel approach to sentiment analysis using quantum algorithms and neuro-fuzzy systems,

Reference 21

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Observation d94399fb-eae1-4b0e-9348-e00b809482ae · outbound

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

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Next-generation quantum neural networks: Enhancing efficiency, security, and privacy,

Reference 22

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e06e2a2a-91d9-4ff2-8232-ebd9d486a7f9 · outbound

This paper cites Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality?.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality?

Reference 23

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Observation 6ef4e0bc-f3ef-45b3-9e01-7d6a62c6e66d · outbound

This paper cites Quantum bayesian networks for machine learning in oil-spill detection,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Quantum bayesian networks for machine learning in oil-spill detection,

Reference 24

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Observation 8de05353-2458-4ec4-9ccd-d8f820f01482 · outbound

This paper cites Quantum clustering for cybersecurity,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Quantum clustering for cybersecurity,

Reference 25

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Observation 12033508-b45b-4ebd-a0ac-65dcb4ccac89 · outbound

This paper cites Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices

Reference 26

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Observation a4e82fcd-c46d-4ebb-a6d2-8f8ce8b154a7 · outbound

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

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Lep-qnn: Loan eligibility prediction using quantum neural networks,

Reference 27

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Observation 3bd96db8-3fff-484e-9656-24da4ae40f6f · outbound

This paper cites Quaternion spiking and quaternion quantum neural networks: Theory and applications,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Quaternion spiking and quaternion quantum neural networks: Theory and applications,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 348ae568-d781-459d-8161-604f1ff8e7d3 · outbound

This paper cites Quaternion neural networks for multidimensional applications: An overview,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Quaternion neural networks for multidimensional applications: An overview,

Reference 29

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 644c2cbe-16bc-4f19-a0ac-8746bb4d7651 · outbound

This paper cites An analytical review of quantum neural network models and relevant research,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks An analytical review of quantum neural network models and relevant research,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation fc2899f5-2d1b-4ada-a071-5aaea56bada1 · outbound

This paper cites Federated learning: Challenges, methods, and future directions,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Federated learning: Challenges, methods, and future directions,

Reference 31

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Observation 21c23767-8810-4ba7-b6c4-ae386caa3fc8 · outbound

This paper cites Advances and open problems in federated learning,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Advances and open problems in federated learning,

Reference 32

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cde35f04-6cfe-4bf7-b51f-8f98afc62b39 · outbound

This paper cites QFAL: Quantum Federated Adversarial Learning.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks QFAL: Quantum Federated Adversarial Learning

Reference 33

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Observation 37ddc14a-4b63-40b1-9256-b63db9031aee · outbound

This paper cites Quantum superposition inspired spiking neural network,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Quantum superposition inspired spiking neural network,

Reference 34

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 24cf7465-89fa-463f-90ca-3406713d1d08 · outbound

This paper cites Parallel proportional fusion of a spiking quantum neural network for optimizing image classification,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Parallel proportional fusion of a spiking quantum neural network for optimizing image classification,

Reference 35

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raw_fallback, observed 2026-08-11T23:44:05.165754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6aac39e0-7de9-4962-8aa6-4510758eb4d5 · outbound

This paper cites Deep spiking quantum neural network for noisy image classification,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Deep spiking quantum neural network for noisy image classification,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-11T23:44:05.150961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:02.944750Z digest=sha256:a65a043f127a21f8ad3ce69a38fece8de151bec5193ad4ce8661a66b65aff621

Observation f762240d-b9e3-4d5d-8205-46bba14001cc · outbound

This paper cites DTQFL: A digital twin-assisted quantum federated learning algorithm for intelligent diagnosis in 5g mobile network,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks DTQFL: A digital twin-assisted quantum federated learning algorithm for intelligent diagnosis in 5g mobile network,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:05.107639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:02.964747Z digest=sha256:bb1105d0f97d697d297a17d28cd2a0c1bf10dab9ce6c6f959ffca5b120821cc9

Observation f08e21bb-2006-4cfd-a649-ddcb56676c5d · outbound

This paper cites QFSM: A novel quantum federated learning algorithm for speech emotion recognition with minimal gated unit in 5g iov,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks QFSM: A novel quantum federated learning algorithm for speech emotion recognition with minimal gated unit in 5g iov,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:05.044736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:02.975615Z digest=sha256:648da3d59dee4524011876cc7d8bb7195509c5bb10ff58ae7963e37313b96d5f

Observation c8d91ac6-54ba-4f2c-bdd0-aca5aae4ee24 · outbound

This paper cites Federated quantum machine learning,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Federated quantum machine learning,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T23:44:02.982979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:44:02.982979Z digest=sha256:1f6b4467175e6bf3d557b25935f1b1ed7152392703004f71a1b5187f373250f0

Observation 103211bc-04d5-4dca-9dcc-a5dec2588a61 · outbound

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

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T23:44:03.000570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:44:03.000570Z digest=sha256:a43696b6ec30ff2be3f93fd4c95e1a9e2ccffc7fe7424933efc553d359fa1532

Observation dd620368-48c5-4ebd-9172-0ae5675ec7f4 · outbound

This paper cites Qais-dsnn: tumor area segmentation of mri image with optimized quantum matched-filter technique and deep spiking neural network,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Qais-dsnn: tumor area segmentation of mri image with optimized quantum matched-filter technique and deep spiking neural network,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:04.982209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:03.009053Z digest=sha256:2c60793c72804bd65b83f165a05cd54852d027267381155d06853f87c3544ddb

Observation 0fb8fbdb-2c3a-433a-b7c2-d95905b173ca · outbound

This paper cites An artificial spiking quantum neuron,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks An artificial spiking quantum neuron,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:04.953129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:03.039791Z digest=sha256:5cace588c12708a583edc42553cfa27ca6b5eb58151b43d4e7971030d987afb4

Observation 26cfd534-4537-4a75-8374-9f16db8efbf0 · outbound

This paper cites A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:44:03.648350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:03.053372Z digest=sha256:ba85287fc3e55910a17a5003a5147d24bd593619a4115e0e0b2d15dc82eb349b

Observation 7e2e3f41-9f55-46be-8a03-061652431e5b · outbound

This paper cites Spiking neural networks,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Spiking neural networks,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:04.864749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:03.122434Z digest=sha256:652c9ddbdb9e6e4b644bd38f368cd207d9303fd94a80a916fd531138638ba8e1

Observation 1bf1b1bf-39bb-4e7e-a76d-593aef7dc590 · outbound

This paper cites Deep learning in spiking neural networks,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Deep learning in spiking neural networks,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:04.817959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:03.134965Z digest=sha256:9d460f03f5009334583ac814c84c7513502e30fd6b2c8e922a1f917a5112ec3c

Observation 1d44c0a2-cf8c-4b1d-ba28-42f996d813fc · outbound

This paper cites Embedded neuromorphic using intel’s loihi processor,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Embedded neuromorphic using intel’s loihi processor,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:04.790164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:03.144902Z digest=sha256:fac27d4553007b8c58d204f4d3dc95461c3e5c282a241c2b0abc596b6b8e33f0

Observation 663cd7f4-85ee-41de-85b1-8e6f2540cd78 · outbound

This paper cites Embodied neuromorphic artificial intelligence for robotics: Perspectives, challenges, and research development stack,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Embodied neuromorphic artificial intelligence for robotics: Perspectives, challenges, and research development stack,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:04.745968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:03.161423Z digest=sha256:5051cb5f56d05061e8dd4949b965c08fb26280519d4266753380a9b8cde8b8e4

Observation bb827a6c-07e7-495c-866b-7b31f6886f4e · outbound

This paper cites Snn4agents: a framework for developing energy-efficient embodied spiking neural networks for autonomous agents,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Snn4agents: a framework for developing energy-efficient embodied spiking neural networks for autonomous agents,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T23:44:03.168818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:44:03.168818Z digest=sha256:746831ed0d2af1227b24928ff80945451aefe5b6554b37cb3d3196cda4e00ba1

Observation d7c9c829-3e71-4707-862b-63d727c4915a · outbound

This paper cites Neuromorphic computing for embodied intelligence in autonomous systems: Current trends, challenges, and future directions,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Neuromorphic computing for embodied intelligence in autonomous systems: Current trends, challenges, and future directions,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:04.577512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:03.176123Z digest=sha256:2ad5f33c5772746124fb9c3110791527670d09f69d116b295c9a8d96f04a6fd1

Observation 3e8af48f-8a7a-43ef-975e-3245f151b4ce · outbound

This paper cites A quantum model of biological neurons,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks A quantum model of biological neurons,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:04.464743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:03.187614Z digest=sha256:1a55f4cc043e51cbf2ce958abfb91801849b92b89600bb8275fc8f7a3c8919dd

Observation cfa22fb4-5c8f-47e3-bf64-5d6eba4e6094 · outbound

This paper cites Quantum long short-term memory,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Quantum long short-term memory,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:04.394747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:03.196900Z digest=sha256:085c878ffb520f7c3c5c21e305cb9ceebc173113f05e127eca74eb6f21034db7

Observation 988b0eaa-5088-43f1-852d-fff7d67058c3 · outbound

This paper cites Brain-inspired agents for quantum reinforcement learning,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Brain-inspired agents for quantum reinforcement learning,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:04.324741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:03.229337Z digest=sha256:d3833a38d28e5627470aa045a7c10506bf78d9aa0bd80315b8b85da6950eb872

Observation c79f3611-2a66-4d0f-abbf-55f552a139d1 · outbound

This paper cites Unsupervised SFQ-based spiking neural network,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Unsupervised SFQ-based spiking neural network,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:04.279771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:03.264748Z digest=sha256:a7d88089b7154f93c1aa67ce74ecd2f6277f987389bbc1b955bf616dd3edffdb

Observation 0715a9a0-d888-4a08-8282-88ca0561487a · outbound

This paper cites A shallow hybrid classical–quantum spiking feedforward neural network for noise-robust image classification,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks A shallow hybrid classical–quantum spiking feedforward neural network for noise-robust image classification,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:04.218187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:03.314748Z digest=sha256:c2a681268578c43af61e02ff42f8985e44c1ce7bb4024579b6641e4c8992978f

Observation bf9ac97f-d6d5-4dc0-aa5b-6c34e622e70d · outbound

This paper cites Accelerating spiking neural networks using quantum algorithm with high success probability and high calculation accuracy,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Accelerating spiking neural networks using quantum algorithm with high success probability and high calculation accuracy,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:04.168820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:03.324742Z digest=sha256:f4ef67cc2efcc9c1a0df8cfd74fc3746b3492482272fb93f3fd234b2823b9177

Observation 58a108d2-76a7-412d-a557-6dd977746e1b · outbound

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

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T23:44:03.343505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:44:03.343505Z digest=sha256:4f2e5ba778c7531d4683c3697b385b5032a04914cbf8e5f8122e1a11ca0251c2

Observation b90ba1c5-441d-49e6-ac7e-f75785c2faad · outbound

This paper cites an unresolved cited work.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Unresolved cited work

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T23:44:03.361968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:44:03.361968Z digest=sha256:51483cd5eb4cfc25a6556b04d58eda9bbf5e08aa4bc0a07232d9541b49e2e0ce

Observation 33dbcf23-af5f-4724-a2ba-9b28ed030fa0 · outbound

This paper cites Optical Recognition of Handwritten Digits,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Optical Recognition of Handwritten Digits,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T23:44:03.373772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:44:03.373772Z digest=sha256:f3255e93e09e272f056814048911bff3dd8e77579b970c0b441e3e4f26e28256

Observation 36e4b32d-d2de-4400-a7d2-6426bab5d460 · outbound

This paper cites Breast Cancer,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks Breast Cancer,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T23:44:03.387500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:44:03.387500Z digest=sha256:f1490fd9f35f33672a6972ab27572af87bbcaaf31d1173c528cc9480ccc5eef6

Observation 719bccc2-a882-4075-8bef-ea1803876904 · outbound

This paper cites FedQNN: Federated learning using quantum neural networks,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks FedQNN: Federated learning using quantum neural networks,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:04.058237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:03.400652Z digest=sha256:145240b1518af543ca09d351a2b1947ca6b508995efe357182462eb7fc50af55

Observation b8adcbf6-3a45-48e0-89fb-d3d396bbfe9c · outbound

This paper cites A personalized quantum federated learning,.

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks A personalized quantum federated learning,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:04.021983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:44:03.434749Z digest=sha256:5a6cf727d2d183425255a295b98a12ae733eaaa359cc2e3d858054a8004f8e77

Pith citing papers

Observation cc342f52-9833-40af-89b5-e76abfba60d5 · inbound

RobQFL: Robust Quantum Federated Learning in Adversarial Environment cites this paper.

RobQFL: Robust Quantum Federated Learning in Adversarial Environment FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:51:20.945160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:51:20.768136Z digest=sha256:a29bba5ac41c5f33d13bd599464aabc45a9bba7a1a62ae502e77913061d399e0