Paper Citation Record · LEDGER

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform

As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2507.23562.

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

pith.paper-citation-record.v1
2507.23562 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:42:21.943367Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

31 of 31 outbound references displayed

verified exact1
verified fuzzy20
unresolved10
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41bfed6e-1923-4c1a-9106-a1e54156478b · outbound

This paper cites Networks of spiking neurons: the third generation of neural network models,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Networks of spiking neurons: the third generation of neural network models,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T10:42:21.782129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5475e7a8-750d-40e1-9498-e47bd38cfd0e · outbound

This paper cites Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.746344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1e5e24f7-903c-4d97-89eb-00ba19d37f76 · outbound

This paper cites Spiking neural networks and their applications: A review,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Spiking neural networks and their applications: A review,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T10:42:21.792753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfd232cc-26d0-4340-94f9-9cef5bce2610 · outbound

This paper cites Language modeling on a spinnaker2 neuromorphic chip,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Language modeling on a spinnaker2 neuromorphic chip,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.697491Z

Source-reported events for the cited work

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Observation 1aa90367-6ead-4e7a-ae19-4478adfbcfbb · outbound

This paper cites Snn- bert: Training-efficient spiking neural networks for energy-efficient bert,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Snn- bert: Training-efficient spiking neural networks for energy-efficient bert,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T10:42:21.803257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1719b25c-2068-47a1-ac13-c971a55a0d1c · outbound

This paper cites SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T10:42:21.809027Z

Source-reported events for the cited work

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Observation b8d9d7a2-f526-4546-a254-4c5c701924aa · outbound

This paper cites Low-power neuromorphic hardware for signal processing appli- cations: A review of architectural and system-level design approaches,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Low-power neuromorphic hardware for signal processing appli- cations: A review of architectural and system-level design approaches,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T10:42:21.815423Z

Source-reported events for the cited work

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Observation 04ff8165-a0d2-4c2d-a482-15be6a28f028 · outbound

This paper cites Loihi: A neuromorphic manycore processor with on-chip learning,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Loihi: A neuromorphic manycore processor with on-chip learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.651175Z

Source-reported events for the cited work

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Observation c2c1f5b5-b8df-4f51-a91c-5990d4963d32 · outbound

This paper cites Brainqn: Enhancing the robustness of deep rein- forcement learning with spiking neural networks,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Brainqn: Enhancing the robustness of deep rein- forcement learning with spiking neural networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.619945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b2eefe5f-49d8-4a9d-9686-7467c1a8b0ee · outbound

This paper cites Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.589039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f9c8f371-521f-488b-a7b0-b6b7713f1e91 · outbound

This paper cites Stdp-based spiking deep convolutional neural networks for object recognition,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Stdp-based spiking deep convolutional neural networks for object recognition,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.564920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f1d0311-34e4-42e4-b18d-a37fa0efae80 · outbound

This paper cites Con- version of continuous-valued deep networks to efficient event-driven networks for image classification,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Con- version of continuous-valued deep networks to efficient event-driven networks for image classification,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.538247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 172496c4-9b02-4e40-8726-26f144f01a9a · outbound

This paper cites Exploring spiking neural networks for deep reinforcement learning in robotic tasks,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Exploring spiking neural networks for deep reinforcement learning in robotic tasks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.511613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0b9ced1d-3d5c-4920-990f-2a0c97e911e2 · outbound

This paper cites Directly-trained spiking neural networks for deep re- inforcement learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Directly-trained spiking neural networks for deep re- inforcement learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.483514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f49212a-5da6-4aab-a8da-8f8650f873b1 · outbound

This paper cites Neurorobotic reinforcement learning for domains with parametrical uncertainty,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Neurorobotic reinforcement learning for domains with parametrical uncertainty,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.440868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 09a11dcf-41ea-4106-a801-5166a934ea68 · outbound

This paper cites Deep reinforcement learning with population-coded spiking neural network for continuous control,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Deep reinforcement learning with population-coded spiking neural network for continuous control,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.406222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b2df62f5-b3c5-48bc-b1a7-dbd22022bf5c · outbound

This paper cites Porting deep spik- ing q-networks to neuromorphic chip loihi,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Porting deep spik- ing q-networks to neuromorphic chip loihi,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.377478Z

Source-reported events for the cited work

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Observation a31968dd-f3ba-47b8-b24b-83bbf88debf7 · outbound

This paper cites Training spiking neural networks using lessons from deep learning,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Training spiking neural networks using lessons from deep learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.354501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8089d840-0a9e-41ee-b4e9-ae4360b30fbe · outbound

This paper cites Deep Reinforcement Learning with Spiking Q-learning.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Deep Reinforcement Learning with Spiking Q-learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T10:42:21.877287Z

Source-reported events for the cited work

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Observation 0df18732-fa1c-406d-9988-b122664d6146 · outbound

This paper cites OpenAI Gym.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform OpenAI Gym

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T10:42:21.884262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d804a80b-245c-49fe-a092-5c4c52b4132d · outbound

This paper cites Reinforcement co-learning of deep and spiking neural networks for energy-efficient mapless nav- igation with neuromorphic hardware,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Reinforcement co-learning of deep and spiking neural networks for energy-efficient mapless nav- igation with neuromorphic hardware,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.328473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a3c5d889-c639-462f-aa8f-c14989bc0608 · outbound

This paper cites A self-driving robot using deep convolutional neural networks on neuromorphic hardware,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform A self-driving robot using deep convolutional neural networks on neuromorphic hardware,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.294117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a50527d-84df-4a40-bbc9-f6b2d9e6bdcd · outbound

This paper cites Human-level control through deep reinforcement learning,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Human-level control through deep reinforcement learning,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T10:42:21.900800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e918db3-3349-4f67-b180-5bd1849e02b8 · outbound

This paper cites Neuronlike adaptive elements that can solve difficult learning control problems,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Neuronlike adaptive elements that can solve difficult learning control problems,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.251779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fe04c472-d342-4437-bc1e-c7009617930d · outbound

This paper cites Generalization in reinforcement learning: Successful examples using sparse coarse coding,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Generalization in reinforcement learning: Successful examples using sparse coarse coding,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.221541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df776e9f-ac6b-448d-bd1d-cc30a59cb68a · outbound

This paper cites Learning repre- sentations by back-propagating errors,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Learning repre- sentations by back-propagating errors,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T10:42:21.916451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5158057-a1ac-42a3-a14a-af5ff2d1ec1a · outbound

This paper cites Navigating local minima in quantized spiking neural networks,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Navigating local minima in quantized spiking neural networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.172896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5ab9a802-934f-4d8e-9fd8-c45f6cfce18f · outbound

This paper cites Efficient Deployment of Spiking Neural Networks on SpiNNaker2 for DVS Gesture Recognition Using Neuromorphic Intermediate Representation.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Efficient Deployment of Spiking Neural Networks on SpiNNaker2 for DVS Gesture Recognition Using Neuromorphic Intermediate Representation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T10:42:21.926789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ccaa750-f439-4e03-9425-5a29211aac3f · outbound

This paper cites Toward robust and scal- able deep spiking reinforcement learning,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Toward robust and scal- able deep spiking reinforcement learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.152931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aa5488df-698b-4af5-b22a-5adc842a5f06 · outbound

This paper cites py-spinnaker2,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform py-spinnaker2,

Reference 30

Resolution: verified exact; doi, observed 2026-08-06T10:42:21.992408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3f15b5a0-bb9c-4070-81ff-e5716c4c1d92 · outbound

This paper cites Pynn: a common interface for neuronal network simulators,.

Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform Pynn: a common interface for neuronal network simulators,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:42:22.130464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.