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Paper Citation Record · LEDGER

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks

As of 21 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 2 inbound Pith citation observations for arXiv:2504.20445.

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

pith.paper-citation-record.v1
2504.20445 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:32:22.148561Z

measured 55 of 55 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T21:40:23.491711Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:25:46.079778Z

Reference resolution

53 of 53 outbound references displayed

  • verified exact8
  • verified fuzzy35
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c846e98-0974-44db-803d-153aa431dcd5 · outbound

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

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Networks of spiking neurons: The third generation of neural network models,

Reference 1

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raw_fallback, observed 2026-08-16T05:32:23.361183Z

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.

source=pdf_text observed=2026-08-16T05:32:21.967312Z digest=sha256:f510ad56105a049d462ac37773f267b30e4ab1da96bf194eba997f35faf952a1

Observation ab66461b-7488-4747-8ce0-012931ea2e64 · outbound

This paper cites Spiking Neural Networks and Their Applications: A Review,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Spiking Neural Networks and Their Applications: A Review,

Reference 2

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raw_fallback, observed 2026-08-16T05:32:23.350605Z

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.

source=pdf_text observed=2026-08-16T05:32:21.971365Z digest=sha256:57d2c95bbcff59186011afea0dbdbecc590206c6a892c8b813b92a3dd1ac02fb

Observation bea5a87e-d7dc-47b6-9ebb-00aabd46df3e · outbound

This paper cites A review of learning in biologically plausible spiking neural networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks A review of learning in biologically plausible spiking neural networks,

Reference 3

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raw_fallback, observed 2026-08-16T05:32:23.339967Z

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.

source=pdf_text observed=2026-08-16T05:32:21.975339Z digest=sha256:05495c9333ad27694f8e048b08f6c8c9eee7b9068ac8d8a886e3b375190d1de0

Observation 002fbe47-317d-40c6-bea8-0901bd5523f7 · outbound

This paper cites Relative Pose Estimation for Multi-Camera Systems from Point Correspondences with Scale Ratio,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Relative Pose Estimation for Multi-Camera Systems from Point Correspondences with Scale Ratio,

Reference 4

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no resolver link, observed 2026-08-16T05:32:21.979758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:32:21.979758Z digest=sha256:32f3b455a497a127e2f72d7558f5a118b1f898549740a5ae1eab90f56225b9cc

Observation 8e1650d2-a4c4-408b-a1c1-6726d2e9937a · outbound

This paper cites Optical flow- guided 6dof object pose tracking with an event camera,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Optical flow- guided 6dof object pose tracking with an event camera,

Reference 5

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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.

source=pdf_text observed=2026-08-16T05:32:21.983093Z digest=sha256:c5e8d9329d535c394df7018f8be23f14adc3ff11ce9960a55ee8135931e1d992

Observation 2a7da1ef-2fa7-4e40-956e-c16123bec707 · outbound

This paper cites Line-based 6- dof object pose estimation and tracking with an event camera,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Line-based 6- dof object pose estimation and tracking with an event camera,

Reference 6

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-16T05:32:21.987078Z digest=sha256:039227dc1f732340698c6ab7785318aeba308648370a291af91ed86bced2c45a

Observation ca08aa0d-dbce-40e2-a204-77b5f1f9b8ea · outbound

This paper cites Stereo event-based, 6-dof pose tracking for uncooperative spacecraft,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Stereo event-based, 6-dof pose tracking for uncooperative spacecraft,

Reference 7

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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.

source=pdf_text observed=2026-08-16T05:32:21.992001Z digest=sha256:d487e836e0155552b9c72ebeb42a94a41d81db393f75a0906c3dc30d5a05341a

Observation 7e38eb16-e3d6-4aed-94fe-080dd0f8e6be · outbound

This paper cites Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:32:21.995372Z digest=sha256:78e8f7620cd3dc932e02ec38e9e36406f75d1755bd8660a142aa19fd9860db82

Observation d3278601-391b-4d8f-9ef8-9af9dbe97c39 · outbound

This paper cites Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks,

Reference 9

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raw_fallback, observed 2026-08-16T05:32:22.864627Z

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.

source=pdf_text observed=2026-08-16T05:32:21.998521Z digest=sha256:6315f1455f2a3277dfb2c8c11ee7d6ab31c9107e8fcc6a0b94eb75a655833aea

Observation e298c049-0a41-4331-bafa-b590a1277aad · outbound

This paper cites Knowledge Distillation from A Stronger Teacher,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Knowledge Distillation from A Stronger Teacher,

Reference 10

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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.

source=pdf_text observed=2026-08-16T05:32:22.001868Z digest=sha256:9a60c66a7f37fe21ee3bf36ee33c3d6e56b8668075283e6e792098091a98a716

Observation cd4c1e38-6487-493e-adf6-601c488fcc7d · outbound

This paper cites Decoupled Knowledge Distillation,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Decoupled Knowledge Distillation,

Reference 11

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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.

source=pdf_text observed=2026-08-16T05:32:22.005234Z digest=sha256:24114a2a7f69b68caa558a18b36cdc6bdf2025cc1e97d12a44f5e05eff2e9441

Observation 50e4f6da-0906-473b-ac75-d3cbecfa9fcd · outbound

This paper cites Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation,

Reference 12

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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.

source=pdf_text observed=2026-08-16T05:32:22.009096Z digest=sha256:a4866b4815ca335093fe6948a73df18f6b3ed72ae0445fb73a229bf0e10d2461

Observation 78ec3ce4-717b-4006-88f5-c94612554d6a · outbound

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

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks

Reference 13

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no resolver link, observed 2026-08-16T05:32:22.011823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:32:22.011823Z digest=sha256:bf229a7bdba4e808bac986599dab00ef959470f1c186ad78124223675c99ee49

Observation 77cee507-4f3f-4c6a-b190-dbcfd74226fa · outbound

This paper cites BKDSNN: Enhancing the Performance of Learning-Based Spiking Neural Networks Training with Blurred Knowledge Distillation,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks BKDSNN: Enhancing the Performance of Learning-Based Spiking Neural Networks Training with Blurred Knowledge Distillation,

Reference 14

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raw_fallback, observed 2026-08-16T05:32:23.275545Z

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.

source=pdf_text observed=2026-08-16T05:32:22.015622Z digest=sha256:9641822175d13cfa76926aa3d4301fecc48c86b0f8859a74be64a678daf64b30

Observation 764f19e9-9858-4b2f-b6e2-deb579fe125d · outbound

This paper cites Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models,

Reference 15

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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.

source=pdf_text observed=2026-08-16T05:32:22.019563Z digest=sha256:4dfecd3e90bbb04716769d62a4712f30cfe80b745c0460545c074c3b4100e6e6

Observation 1a38c406-0f73-4587-946e-af0da4de514c · outbound

This paper cites A New ANN-SNN Conversion Method with High Accuracy, Low Latency and Good Robustness,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks A New ANN-SNN Conversion Method with High Accuracy, Low Latency and Good Robustness,

Reference 16

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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.

source=pdf_text observed=2026-08-16T05:32:22.022175Z digest=sha256:0a69daeaf645f16ffc53706e0444c3e2c4e093d9c839aeaad46ad78403d68a37

Observation b3aa0e8a-9d5d-4496-b712-b3b568838f8c · outbound

This paper cites Advancing Spiking Neural Networks Toward Deep Residual Learning,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Advancing Spiking Neural Networks Toward Deep Residual Learning,

Reference 17

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-16T05:32:22.025051Z digest=sha256:2880ec4fc73579e4b0ea7f6859f9cb1fc0d5a5474fbb2edb4baea1428accfecd

Observation 2396acaf-fb58-4295-98c9-fa603e39962f · outbound

This paper cites DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks,

Reference 18

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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.

source=pdf_text observed=2026-08-16T05:32:22.028164Z digest=sha256:7dc34729b1275600f3d069ba1535b734683464572efdafee40c567919fa89bca

Observation 25dfc743-9079-42f1-9c2c-d617637cbeb3 · outbound

This paper cites Going Deeper With Directly-Trained Larger Spiking Neural Networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Going Deeper With Directly-Trained Larger Spiking Neural Networks,

Reference 19

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raw_fallback, observed 2026-08-16T05:32:23.245283Z

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.

source=pdf_text observed=2026-08-16T05:32:22.031816Z digest=sha256:5cfce30c10ecc37a863d2d578704d743b9852ff4d540039e27be7727ea55f64a

Observation 5c512bc7-ca20-41c6-8277-7f90ddf89f72 · outbound

This paper cites Membrane Potential Batch Normalization for Spiking Neural Networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Membrane Potential Batch Normalization for Spiking Neural Networks,

Reference 20

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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.

source=pdf_text observed=2026-08-16T05:32:22.035082Z digest=sha256:42e5665ca1d84554c865f5c7341844877f717588b6566f44b322cda856a7ebb9

Observation e700f39f-4ecb-42a0-9ac8-f3c80ab40deb · outbound

This paper cites FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks,

Reference 21

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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.

source=pdf_text observed=2026-08-16T05:32:22.038060Z digest=sha256:1a6109761f4a9722fd98b4a665832529c6e100d1914f56935001e72424cda6bc

Observation e9aacafa-6004-4a0e-91e4-9881037dc45d · outbound

This paper cites ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks,

Reference 22

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raw_fallback, observed 2026-08-16T05:32:23.216262Z

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.

source=pdf_text observed=2026-08-16T05:32:22.041033Z digest=sha256:9707bcc0929ba05a2f448c31416d309b817e2875f7e708282c1deead51166573

Observation 8f22e10d-0464-42b1-8987-530ad6fcd48a · outbound

This paper cites Deep Residual Learning in Spiking Neural Networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Deep Residual Learning in Spiking Neural Networks,

Reference 23

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raw_fallback, observed 2026-08-16T05:32:23.206460Z

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.

source=pdf_text observed=2026-08-16T05:32:22.044298Z digest=sha256:e6fd229da02317e69c08b7cc78cced389e6b62dcd622c0dff55f6b55914cfd4e

Observation 25766e06-94fa-43cc-852d-48117c21f49b · outbound

This paper cites Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly- Trained Spiking Neural Networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly- Trained Spiking Neural Networks,

Reference 24

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raw_fallback, observed 2026-08-16T05:32:23.195868Z

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.

source=pdf_text observed=2026-08-16T05:32:22.047966Z digest=sha256:dece93a3691ca595939878369732fb26bebd73fe2049542727b4f0cff27c99b2

Observation 5ce618a3-c924-4068-83ee-8d788bd4b694 · outbound

This paper cites RSNN: Recurrent Spiking Neural Networks for Dynamic Spatial-Temporal Information Processing,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks RSNN: Recurrent Spiking Neural Networks for Dynamic Spatial-Temporal Information Processing,

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:32:22.051170Z digest=sha256:9fffb89e111037fb2652393dfa5b9476957b997a4922ed055433e0252a720cff

Observation 1f2707df-c919-479e-9467-b352fb509af9 · outbound

This paper cites SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks,

Reference 26

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raw_fallback, observed 2026-08-16T05:32:23.183642Z

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.

source=pdf_text observed=2026-08-16T05:32:22.054353Z digest=sha256:2e3f7a0cd9b8982a1e12eb2535e2890f7f7b01d9663be38275ee4515cea1fa79

Observation 9c2ea6ef-6b23-42ee-9cfa-26fab818f26a · outbound

This paper cites Spikformer: When Spiking Neural Network Meets Transformer,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Spikformer: When Spiking Neural Network Meets Transformer,

Reference 27

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raw_fallback, observed 2026-08-16T05:32:23.173048Z

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.

source=pdf_text observed=2026-08-16T05:32:22.057665Z digest=sha256:42080c66d55ff11beb3bab59ccd84a71a4b869eadcc120431ce7277f3906fb82

Observation cfb088c7-15b8-4ce9-a8da-ed5b49d205a5 · outbound

This paper cites Temporal spiking generative adversarial networks for heading direction decoding,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Temporal spiking generative adversarial networks for heading direction decoding,

Reference 28

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raw_fallback, observed 2026-08-16T05:32:23.162912Z

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.

source=pdf_text observed=2026-08-16T05:32:22.060825Z digest=sha256:5bfa522f337d45d8abae0924940e78d71194e74cb5a19308abdce778b0eac510

Observation ebc75fe9-406c-45df-9c1a-5ede11d15035 · outbound

This paper cites Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks,

Reference 29

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raw_fallback, observed 2026-08-16T05:32:23.152230Z

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.

source=pdf_text observed=2026-08-16T05:32:22.064059Z digest=sha256:abcee790505038e0cde4060673b4a308561c8ced371e1016524b315629e434ae

Observation 9f098b6e-987b-4f3f-bbac-bf246cadb9e2 · outbound

This paper cites Revisiting Knowledge Distillation via Label Smoothing Regularization,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Revisiting Knowledge Distillation via Label Smoothing Regularization,

Reference 30

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raw_fallback, observed 2026-08-16T05:32:23.140710Z

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.

source=pdf_text observed=2026-08-16T05:32:22.067114Z digest=sha256:0e4e780bdf3b06f942804d9874baf93bfdea40a7e2f43fd9a79a100d121a974b

Observation 7ea6c3e1-a681-4762-af84-ff32dcb04c74 · outbound

This paper cites Distilling Knowledge via Knowledge Review,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Distilling Knowledge via Knowledge Review,

Reference 31

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raw_fallback, observed 2026-08-16T05:32:22.547984Z

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.

source=pdf_text observed=2026-08-16T05:32:22.070543Z digest=sha256:3080ec098c50aa1c37df09f3b3ba703857497556ede414092b04a72ba12e3c6f

Observation b66f8ce2-20e4-47de-9a08-99ded6c6de1e · outbound

This paper cites Logit Standardization in Knowledge Distillation,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Logit Standardization in Knowledge Distillation,

Reference 32

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raw_fallback, observed 2026-08-16T05:32:23.128411Z

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.

source=pdf_text observed=2026-08-16T05:32:22.073624Z digest=sha256:3414cf391bcc8c2d6f4766f19384601bddf26238258a5bf5b07ebd6040f1fcec

Observation 65e33366-537e-4f57-8741-d0ba6063c47b · outbound

This paper cites Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks

Reference 33

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no resolver link, observed 2026-08-16T05:32:22.076886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:32:22.076886Z digest=sha256:50c4f756f3dacbf19831d65a43ec2e403e83ff24435c99daa786a53d9c21d427

Observation d5435b80-5225-4238-9c99-5472f65fe560 · outbound

This paper cites Distilling Spikes: Knowledge Distillation in Spiking Neural Networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Distilling Spikes: Knowledge Distillation in Spiking Neural Networks,

Reference 34

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verified exact
raw_fallback, observed 2026-08-16T05:32:22.479246Z

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.

source=pdf_text observed=2026-08-16T05:32:22.081081Z digest=sha256:7b01790bc0da6dd43963232de88362f03affba8db337543749f3da10df7c3a77

Observation 4cd10b7d-65f9-47af-a0e5-1fea2b564b67 · outbound

This paper cites Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:32:23.118710Z

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.

source=pdf_text observed=2026-08-16T05:32:22.084629Z digest=sha256:247deb6e09d1fa986fc5b88b95b10a52b9d4005d7a06f80d3552450ca56d2b92

Observation 26daf028-831e-4b0d-b092-dfe9dacd3dd8 · outbound

This paper cites SpikeBERT: A Language Spikformer Learned from BERT with Knowledge Distillation.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks SpikeBERT: A Language Spikformer Learned from BERT with Knowledge Distillation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T05:32:22.088456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:32:22.088456Z digest=sha256:4e378fafaea52345685df0b686f944f0a4c8ac294a40bf05be644035ca6d707c

Observation 74ca7a03-bab5-48b9-94c2-4e724a1470d4 · outbound

This paper cites Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:32:23.108471Z

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.

source=pdf_text observed=2026-08-16T05:32:22.092768Z digest=sha256:05f3b770c8ab574d822fc8967f025864137ba592c7d4f25b21c75ab39bb1795d

Observation 8438179e-39dd-4416-b63b-150b37d7790b · outbound

This paper cites Reversing Structural Pattern Learning with Biologically Inspired Knowledge Distillation for Spiking Neural Networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Reversing Structural Pattern Learning with Biologically Inspired Knowledge Distillation for Spiking Neural Networks,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:32:23.097887Z

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.

source=pdf_text observed=2026-08-16T05:32:22.096703Z digest=sha256:a69024de01caaaee4e17a5f2cba991e1951c91b345232339a82eedfe85c4c9cd

Observation fc454181-7ce6-4997-947e-8fa47c1b8feb · outbound

This paper cites Self-architectural knowledge distillation for spiking neural networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Self-architectural knowledge distillation for spiking neural networks,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:32:23.076594Z

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.

source=pdf_text observed=2026-08-16T05:32:22.103908Z digest=sha256:76032d6d9c11eb69b4e7cc1188da986ade82b9f1fae7acf6f78b1d69c62281c5

Observation 899f983b-460a-42c7-be81-a4f8bb6e9c37 · outbound

This paper cites RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks,

Reference 40

Resolution
verified exact
raw_fallback, observed 2026-08-16T05:32:22.410760Z

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.

source=pdf_text observed=2026-08-16T05:32:22.106891Z digest=sha256:fa0d5b5b31d6d13c1c8fb172c489f0dc0d667d2b293b4dd6d4f4b060c80b7265

Observation 984a794e-8c42-4581-9edf-6c0abc1f731c · outbound

This paper cites Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:32:23.065441Z

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.

source=pdf_text observed=2026-08-16T05:32:22.110126Z digest=sha256:5e1c6a38d4eee78fb7fdd23b69fb005db65ae0384267d9605f83038ef383cc5a

Observation c9623e79-1ded-4529-9bb2-35a295e45f94 · outbound

This paper cites Learnable Surrogate Gradient for Direct Training Spiking Neural Networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Learnable Surrogate Gradient for Direct Training Spiking Neural Networks,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:32:23.054227Z

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.

source=pdf_text observed=2026-08-16T05:32:22.113491Z digest=sha256:2fa87d6c674c2ffeedbabb5c559036bcee02627a46e7d5ac7e6cfc45e2b8b9b4

Observation cce21cca-3c4e-4bc1-8ef1-3ebbccf087ef · outbound

This paper cites Tensor Decomposition Based Attention Module for Spiking Neural Networks.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Tensor Decomposition Based Attention Module for Spiking Neural Networks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T05:32:22.116731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:32:22.116731Z digest=sha256:bfdc4d967f70ea7bfd0bdcc8ffefe6489b4e993c3185d6facd3b24241863a578

Observation 646597ab-03e5-4dd3-bd30-68bafca0de2f · outbound

This paper cites IM- Loss: Information Maximization Loss for Spiking Neural Networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks IM- Loss: Information Maximization Loss for Spiking Neural Networks,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:32:23.042426Z

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.

source=pdf_text observed=2026-08-16T05:32:22.120218Z digest=sha256:05ce0600ca3440dceb62f02a0d1e9e94e0972e017f945de6243745bf40cda671

Observation 003a279d-17b4-4ef7-a1a8-de1cbe0f8fa7 · outbound

This paper cites IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network,

Reference 45

Resolution
verified exact
raw_fallback, observed 2026-08-16T05:32:22.338880Z

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.

source=pdf_text observed=2026-08-16T05:32:22.123217Z digest=sha256:ce96894419b4b84292fbaa9a38acacab80f1bf9a8933c1c4af81ff683fec1685

Observation 0ba001d1-0478-44ea-8920-a3e7b270df64 · outbound

This paper cites Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T05:32:22.126266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:32:22.126266Z digest=sha256:81a371b37f90b8b93d6947f181d4303975b1f71135af8afd310c98028462803f

Observation 370cd0f0-8e56-4ae8-89cc-85f68185d7e9 · outbound

This paper cites Cifar-10 (canadian institute for advanced research),.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Cifar-10 (canadian institute for advanced research),

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T05:32:22.129339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:32:22.129339Z digest=sha256:8c146a7311b432ef2a6ebcd33df3778556914c77214b02dd07dbc2cf8d341af7

Observation 2a8099be-439c-4664-9c83-3a4099c0153a · outbound

This paper cites Tiny ImageNet Visual Recognition Challenge,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Tiny ImageNet Visual Recognition Challenge,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:32:23.023674Z

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.

source=pdf_text observed=2026-08-16T05:32:22.133260Z digest=sha256:9bbed031d5e88511b872d6bd6ebd1081e4ef42f9009b4d967ceabefb2768f20c

Observation cfb8ef1d-23fc-4b19-9643-bff753cee266 · outbound

This paper cites GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:32:23.013065Z

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.

source=pdf_text observed=2026-08-16T05:32:22.136994Z digest=sha256:01dfeff7ba0aab95a0b5c79a3ce621ccacca7dc250d56110658d381c43cbd644

Observation af13742d-ed63-473b-97c3-71f11792e0ce · outbound

This paper cites 1.1 Computing’s energy problem (and what we can do about it),.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks 1.1 Computing’s energy problem (and what we can do about it),

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:32:23.000941Z

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.

source=pdf_text observed=2026-08-16T05:32:22.141030Z digest=sha256:7581497db4de1c19328a248750c83fe511a0f3384990dce19fcec7e2f3792d09

Observation c8550d78-01cd-4bab-90d5-c72f64dba1b7 · outbound

This paper cites A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses,.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T05:32:22.148561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:32:22.148561Z digest=sha256:f166b78ddda976326c08fbe091d198ad3b660c89356a684222d8ad036d7f4e21

Observation c065c917-ee2e-42e3-9dc8-4a06d5be13e5 · outbound

This paper cites Available: https://openreview.net/forum?id=r9X3P6qvAj.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Available: https://openreview.net/forum?id=r9X3P6qvAj

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:32:23.086805Z

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.

source=pdf_text observed=2026-08-16T05:32:22.100744Z digest=sha256:eb72635c641aa58d0f7b951ade5249e05ddd4ba22fc804a10d743701dfb930a0

Observation 68c2762d-6f10-4414-ab86-a893cb7085bc · outbound

This paper cites Available: https://ieeexplore.ieee.org/abstract/document/ 6757323.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Available: https://ieeexplore.ieee.org/abstract/document/ 6757323

Reference 8606

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:32:22.989415Z

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.

source=pdf_text observed=2026-08-16T05:32:22.144510Z digest=sha256:61ac4ceb0fac995d01485a2bb3556a29096cbe4c029707c6664156ed8ac455a3

Pith citing papers

Observation a06a054b-29d5-4cf2-8fc1-626d9f34e062 · inbound

Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks cites this paper.

Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:49:41.531838Z

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.

source=pdf_text observed=2026-05-15T02:43:34.699162Z digest=sha256:85402fccd4562610b1c62a4b212fa35b337ffc175fe5aa6d7ce8bc73e2a37889

Observation 36752540-3b13-4977-971c-99f66a2df86c · inbound

Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks cites this paper.

Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:25:46.081384Z

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.

source=pdf_text observed=2026-06-30T21:40:23.491711Z digest=sha256:369b8cc9c67f080fc3100eeba2ee9faa11192630bb913dd02ff269d1873142d7