Paper Citation Record · LEDGER

Cross Knowledge Distillation between Artificial and Spiking Neural Networks

As of 13 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.09269.

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

pith.paper-citation-record.v1
2507.09269 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:05:43.531241Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

32 of 32 outbound references displayed

verified exact4
verified fuzzy24
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2bbe1a47-a94c-4b95-8585-4ad101744e84 · outbound

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

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Networks of spiking neurons: the third generation of neural network models,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.840403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 76e013a6-104f-40cd-aa1b-04b5ed6e4e42 · outbound

This paper cites Towards spike-based machine intelligence with neuromorphic computing,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Towards spike-based machine intelligence with neuromorphic computing,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.831885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 33e9f075-e1bc-4e06-a9a4-ad6d6ef3a426 · outbound

This paper cites Truenorth: Design and tool flow of a 65 mw 1 million neuron programmable neurosynaptic chip,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Truenorth: Design and tool flow of a 65 mw 1 million neuron programmable neurosynaptic chip,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.823968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 24ca9ee2-c6ef-4b72-b726-f5a926bb17c6 · outbound

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

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Loihi: A neuromorphic manycore processor with on-chip learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.815906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a61f6e0d-c0bf-4384-865c-c08f05222292 · outbound

This paper cites Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:05:43.630507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 90a7246f-cf2d-4cd8-945f-769b569d4671 · outbound

This paper cites UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:05:43.618321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3c5785d4-8d0b-479f-be45-29fd6c66f8fd · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Distilling the Knowledge in a Neural Network

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T18:05:43.456488Z

Source-reported events for the cited work

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Observation c7bbbbc5-36bd-4728-8455-6d74155f5f9b · outbound

This paper cites LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:05:43.597063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9c8dcccb-25a2-4042-bf75-0b072bbf050b · outbound

This paper cites ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:05:43.463058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0209676d-ea4c-42be-8a42-7cb58317d02a · outbound

This paper cites An efficient knowledge transfer strategy for spiking neural networks from static to event domain,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks An efficient knowledge transfer strategy for spiking neural networks from static to event domain,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.807835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 16a99629-d8ef-4929-981e-306774a1f4b7 · outbound

This paper cites Converting static image datasets to spiking neuromorphic datasets using saccades,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Converting static image datasets to spiking neuromorphic datasets using saccades,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.799895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 54fc58c4-6541-4281-8128-aaa0b64d96b6 · outbound

This paper cites Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.790908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4f045aa2-99a2-4f16-b3e3-2b6cfe93f444 · outbound

This paper cites Reduction of class activation uncertainty with background information,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Reduction of class activation uncertainty with background information,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.782692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a6d7afb2-2e07-4ef7-bb27-7988b73c6fff · outbound

This paper cites an unresolved cited work.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:05:43.774644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9eebbaea-1f10-4f8e-8458-9bb146de1dde · outbound

This paper cites Unsupervised event-based learning of optical flow, depth, and egomotion,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Unsupervised event-based learning of optical flow, depth, and egomotion,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.766713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3539d141-25b1-4d37-b1d8-5b82eac0fda0 · outbound

This paper cites Hots: a hierarchy of event-based time-surfaces for pattern recognition,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Hots: a hierarchy of event-based time-surfaces for pattern recognition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.758467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 776f12ad-dd53-4781-a85a-e3a520d99017 · outbound

This paper cites Hats: Histograms of averaged time surfaces for robust event-based object classification,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Hats: Histograms of averaged time surfaces for robust event-based object classification,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.750333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b502288e-477d-4dea-9131-3dfdc4763623 · outbound

This paper cites Restructuring the teacher and student in self-distillation,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Restructuring the teacher and student in self-distillation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.741824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f22f392a-29e8-4e8c-aae9-a42b1d3509c7 · outbound

This paper cites Decoupled knowledge distillation,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Decoupled knowledge distillation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.734004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 28b41aa3-0723-4a1f-9597-4cadeb903ef2 · outbound

This paper cites Distill vision transformers to cnns via teacher collaboration,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Distill vision transformers to cnns via teacher collaboration,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.725687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e9668ead-799a-4fc9-8186-259c98d902d5 · outbound

This paper cites Distilling spikes: Knowledge distillation in spiking neural networks,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Distilling spikes: Knowledge distillation in spiking neural networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.717307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0cdcfefd-40da-40e9-a911-f1521d6cedca · outbound

This paper cites Similarity of neural network representations revisited,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Similarity of neural network representations revisited,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.709438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ae07fac8-368c-49f8-82ad-c56920fb0551 · outbound

This paper cites Temporal efficient training of spiking neural network via gradient re-weighting,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Temporal efficient training of spiking neural network via gradient re-weighting,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.700737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8a7ec086-4136-4ca0-9e72-2ce3d937f266 · outbound

This paper cites Learning from images: A distillation learning framework for event cameras,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Learning from images: A distillation learning framework for event cameras,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.692496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b9fe6819-4308-4f4e-9ec3-948f28b26102 · outbound

This paper cites Neuromorphic data augmentation for training spiking neural networks,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Neuromorphic data augmentation for training spiking neural networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.684175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 96510f45-de9a-4446-8c37-a58215fe5af3 · outbound

This paper cites Eventmix: An efficient data augmentation strategy for event-based learning,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Eventmix: An efficient data augmentation strategy for event-based learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.675336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e25f8b80-fc5f-47c7-9a59-8e5b7c2dff98 · outbound

This paper cites An unsupervised stdp-based spiking neural network inspired by biologically plausible learning rules and connections,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks An unsupervised stdp-based spiking neural network inspired by biologically plausible learning rules and connections,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.666570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 99120ac8-a0b7-4107-b43a-6fa5a140c425 · outbound

This paper cites Improving stability and performance of spiking neural networks through enhancing temporal consistency,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Improving stability and performance of spiking neural networks through enhancing temporal consistency,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.657361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 27a3cd9a-231d-48d8-ab8a-1c854b7a319e · outbound

This paper cites Spinalnet: Deep neural network with gradual input,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Spinalnet: Deep neural network with gradual input,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.648539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1067eefe-e5d8-4484-9201-12a75940e462 · outbound

This paper cites Braincog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired ai and brain simulation,.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Braincog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired ai and brain simulation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:43.639859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1740ff76-410a-42b4-a1b4-0fcf386ed045 · outbound

This paper cites LumiNet: Perception-Driven Knowledge Distillation via Statistical Logit Calibration.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks LumiNet: Perception-Driven Knowledge Distillation via Statistical Logit Calibration

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:05:43.575021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6e1d6174-a273-47f9-9cf8-3e8378625d52 · outbound

This paper cites Knowledge Distillation from A Stronger Teacher.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks Knowledge Distillation from A Stronger Teacher

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T18:05:43.531241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.