Paper Citation Record · LEDGER

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM

As of 21 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2505.01735.

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

pith.paper-citation-record.v1
2505.01735 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:17:02.455004Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy31
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5500d0a1-2e6e-4565-bedc-de21df6f0760 · outbound

This paper cites When brain-inspired ai meets agi.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM When brain-inspired ai meets agi

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.971927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 09e282c2-3299-4b24-9e14-c44a1d710291 · outbound

This paper cites Svore, and Nathan Wiebe.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Svore, and Nathan Wiebe

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.959778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4aa440b8-2db9-462e-a6b0-a26175f39b7f · outbound

This paper cites an unresolved cited work.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:17:02.947483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 60e00ecb-7559-4382-9f81-50875c7bd1a5 · outbound

This paper cites Anguita, Sandro Ridella, Fabio Rivieccio, and Rodolfo Zunino.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Anguita, Sandro Ridella, Fabio Rivieccio, and Rodolfo Zunino

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.935247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 46afbabd-0afb-443c-aa98-e61f453fc39a · outbound

This paper cites Quantum speed-up for unsupervised learning.Machine Learning, 90:261–287, 2013.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Quantum speed-up for unsupervised learning.Machine Learning, 90:261–287, 2013

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.923131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fd46bf0f-58b0-4c5e-ab24-d332c892787e · outbound

This paper cites On the use of quantum reinforcement learning in energy-efficiency scenarios.Energies, 15, 2022.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM On the use of quantum reinforcement learning in energy-efficiency scenarios.Energies, 15, 2022

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.909170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 947f7a47-aa6c-4284-98d7-7feeb040cfd0 · outbound

This paper cites Miller and Jonathan D.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Miller and Jonathan D

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.896923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b39452c4-5164-4a23-b40c-8f0f22514d0a · outbound

This paper cites Atkinson and R.M.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Atkinson and R.M

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.883589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3febe2b2-3268-402d-b01d-19b60156ea64 · outbound

This paper cites Oxford university press, 2007.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Oxford university press, 2007

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.870268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation edcfd753-0f08-48e5-b85f-dac4dcc344fc · outbound

This paper cites Hippocampus, space, and memory.Behavioral and Brain sciences, 2(3):313–322, 1979.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Hippocampus, space, and memory.Behavioral and Brain sciences, 2(3):313–322, 1979

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.855943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 865d0b0b-561b-4e4b-844d-9308e93343dc · outbound

This paper cites Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, and Wei D.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, and Wei D

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.842239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7df11443-99e5-4a2a-a63f-5d3996e72713 · outbound

This paper cites LearningphraserepresentationsusingRNNencoder–decoderforstatisticalmachinetranslation.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM LearningphraserepresentationsusingRNNencoder–decoderforstatisticalmachinetranslation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.826159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b80cdce0-4fa1-47bb-bf69-b91822fcb4de · outbound

This paper cites Hebb.The Organization of Behavior: A Neuropsychological Theory.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Hebb.The Organization of Behavior: A Neuropsychological Theory

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.811007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 66ad8bce-2854-4b73-a91a-edf81335e5f6 · outbound

This paper cites Deep learning in spiking neural networks.Neural Networks, 111:47–63, 2019.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Deep learning in spiking neural networks.Neural Networks, 111:47–63, 2019

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:02.348194Z

Source-reported events for the cited work

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Observation 5b3e05dd-aec9-4a7a-85a8-06412c35b45a · outbound

This paper cites Lobo, Javier Del Ser, Albert Bifet, and Nikola Kasabov.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Lobo, Javier Del Ser, Albert Bifet, and Nikola Kasabov

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.790262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1b42422b-88a0-44dc-9427-7a33e5db71d3 · outbound

This paper cites Recherches quantitatives sur l’excitation electrique des nerfs.J.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Recherches quantitatives sur l’excitation electrique des nerfs.J

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.778017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b069b8b-d4bb-4eb1-8bc1-074f4b894d32 · outbound

This paper cites Memory-inspired spiking hyperdimensional network for robust online learning.Scientific Reports, 12(1):7641, May 2022.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Memory-inspired spiking hyperdimensional network for robust online learning.Scientific Reports, 12(1):7641, May 2022

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.765574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a92a915-1f9e-4732-9857-081a90e59cb0 · outbound

This paper cites Brain-inspiredspikingneuralnetworksfordecoding and understanding muscle activity and kinematics from electroencephalography signals during hand movements.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Brain-inspiredspikingneuralnetworksfordecoding and understanding muscle activity and kinematics from electroencephalography signals during hand movements

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.751684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 48667d73-281c-4b02-9eda-771f8b41548e · outbound

This paper cites an unresolved cited work.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:02.366442Z

Source-reported events for the cited work

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Observation 458891ae-db0f-4174-9b9a-dc79ce6bb8ff · outbound

This paper cites Bengio, P.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Bengio, P

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.731804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f4c9563a-ce06-4942-9ab8-6558cefae6cf · outbound

This paper cites A novel connectionist system for unconstrained handwriting recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 31:855–868, 2009.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM A novel connectionist system for unconstrained handwriting recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 31:855–868, 2009

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.719206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation afbd3e54-c0d3-4c82-b2a9-3138f3fc236b · outbound

This paper cites an unresolved cited work.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:17:02.707077Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0e877ac0-2492-47b0-8021-6e746934b6f8 · outbound

This paper cites Lstm can solve hard long time lag problems.Advances in Neural Information Processing Systems, 9:473–479, 1996.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Lstm can solve hard long time lag problems.Advances in Neural Information Processing Systems, 9:473–479, 1996

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.693373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a408ab3d-bc12-47c3-8080-cbcd07d0a291 · outbound

This paper cites Maida, and Ashok Kumar.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Maida, and Ashok Kumar

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.681211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 04a497bc-0386-4298-aa7a-a8a633521ed4 · outbound

This paper cites A variational algorithm for quantum neural networks.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM A variational algorithm for quantum neural networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.668994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 60cc4694-f7d4-43a6-a962-0c368fd0e9ba · outbound

This paper cites Parameterized quantum circuits as machine learning models.Quantum Science and Technology, 4(4):043001, nov 2019.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Parameterized quantum circuits as machine learning models.Quantum Science and Technology, 4(4):043001, nov 2019

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.657476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 12af178a-705f-4701-9720-9e8c20164396 · outbound

This paper cites Qdnn: deepneuralnetworkswithquantumlayers.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Qdnn: deepneuralnetworkswithquantumlayers

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.644066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4691d37f-5529-4d26-8b47-8acdfdb61344 · outbound

This paper cites Recent advances for quantum neural networks in generative learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(10):12321–12340, 2023.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Recent advances for quantum neural networks in generative learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(10):12321–12340, 2023

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.632225Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 15aa1989-c905-4bdd-988e-7fd7e9461e23 · outbound

This paper cites Quantum self-attention neural networks for text classification.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Quantum self-attention neural networks for text classification

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.619847Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5732cb7a-9e03-4e52-b8f0-7835d01e7abd · outbound

This paper cites Elsevier, 2014.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Elsevier, 2014

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.607788Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6021778c-4a46-4ce0-84d0-e2076d660305 · outbound

This paper cites Expanding data encoding patterns for quantum algorithms.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Expanding data encoding patterns for quantum algorithms

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.595953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 319e091a-b6ca-431e-a2bf-b6189a8647e2 · outbound

This paper cites an unresolved cited work.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:17:02.583034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 620c5c25-57ee-45d8-af19-dcd66d3f653a · outbound

This paper cites Continual learning through synaptic intelligence.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Continual learning through synaptic intelligence

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:02.420582Z

Source-reported events for the cited work

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Observation e1b9c8e0-4ac1-4b1b-8dbb-0b33e2c37fd7 · outbound

This paper cites Progressive Neural Networks.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Progressive Neural Networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:02.425089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd0f10d5-2480-4777-b308-142d8ec146a5 · outbound

This paper cites Continual Learning with Deep Generative Replay.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Continual Learning with Deep Generative Replay

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:02.429260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5d60868-ba5f-48db-80fa-7afa6b48a332 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Overcoming catastrophic forgetting in neural networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:02.433633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86b34a98-30e5-47ee-bf73-ab3f0e7cc053 · outbound

This paper cites Training spiking neural networks using lessons from deep learning.Proceedings of the IEEE, 111(9):1016–1054, 2023.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Training spiking neural networks using lessons from deep learning.Proceedings of the IEEE, 111(9):1016–1054, 2023

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.564114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a81160b-2388-493a-bbd3-bcdee577ed3c · outbound

This paper cites A survey on concept drift adaptation.ACM computing surveys (CSUR), 46(4):1–37, 2014.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM A survey on concept drift adaptation.ACM computing surveys (CSUR), 46(4):1–37, 2014

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.551807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3a2d6107-fcda-4e77-90fc-70459eb3c2b5 · outbound

This paper cites Ensemble learning for data stream analysis: A survey.Information Fusion, 37:132–156, 2017.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Ensemble learning for data stream analysis: A survey.Information Fusion, 37:132–156, 2017

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.538617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9374eca1-2349-4b43-84e5-4b05a8971624 · outbound

This paper cites Incremental on-line learning: A review and comparison of state of the art algorithms.Neurocomputing, 275:1261–1274, 2018.

Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM Incremental on-line learning: A review and comparison of state of the art algorithms.Neurocomputing, 275:1261–1274, 2018

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:02.524970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.