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Paper Citation Record · LEDGER

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

As of 24 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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:21.967312Z digest=sha256:4fd001490179baac4643323a6aa9f26ea9541bc2169b48848fc026c43d6b5a41

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:21.971365Z digest=sha256:d3f7c68b3e8d5d34540694a3dc256257adb3bfb2a9f0203dff04f18d3958cfb2

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:21.975339Z digest=sha256:fc62764e8be59628298a605796c701219aabaad58443a6353f7d1731d76ed3e3

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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raw_fallback, observed 2026-08-16T05:32:23.328889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:21.983093Z digest=sha256:8ff855713db1dfe3aa3f4bd29a6b8b6858cc29042464d5e594146e66bba8cd3c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:21.987078Z digest=sha256:ee4c64378e899a6b1f4d223ca5e9ec992134c041b9d94aeee2479fd5a9360020

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:21.992001Z digest=sha256:2875248b28c219b0ef7f91df7817d1cef9ae57251dcf588376fbe4a99d081306

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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no resolver link, observed 2026-08-16T05:32:21.995372Z

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:21.998521Z digest=sha256:5dad5618dbe87a2b8f928cb38ff992cb46c8e6ec76783f6f73a771a2c10c4a66

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.001868Z digest=sha256:edbfa72b0fe69706dbb9e1e478bf026dcf9f3e12d9777b476e489c2e254b8c68

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.005234Z digest=sha256:d689c65c1332cec7f532811c5c85159899f036a8f9950e6f4221e7a51be6a44c

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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raw_fallback, observed 2026-08-16T05:32:23.286551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.009096Z digest=sha256:785d16437668ff4cb45c8ae4b4e6134d909a75ec7122d3e6e81c7567809ac410

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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unresolved
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.015622Z digest=sha256:c5c0df7fc88e408486646844e0cf9236acfe174360a6d933d19eca6c5b582f27

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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raw_fallback, observed 2026-08-16T05:32:23.264959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.019563Z digest=sha256:43a6ed6d2872dc44ea0d95ec8ae3d11b41287c4c07c1cb22138dfe452ec58853

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.022175Z digest=sha256:50ea5907c588bef364a11a5f2d5dbd63f1a71d03196a1fbc09bc959938990f0f

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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raw_fallback, observed 2026-08-16T05:32:22.726941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.025051Z digest=sha256:09673d8306de797a3f0bf019aac5e09a90fa342e1aa137dfc896a0ab2cbbee44

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.028164Z digest=sha256:03d49af8a2c5acef710caf79a70a670a94ff58bdb220d0a5d20d648ff497be92

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.031816Z digest=sha256:43dd73d1b66a5ed24c3cb0659fb83fb5a243e605326345cbd20486fdbc84774c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.035082Z digest=sha256:bd7e2958ea436fc28d06effaac51d883fff026b2a9e99962ed98f6879fc8ef21

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.038060Z digest=sha256:2a69ab6a0fbb21cbd78ca7052a2ac2dcf1621dcc91d9b5ddddaf6e0da8596985

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.041033Z digest=sha256:b0f33d6c148a7fdbdabb073b50a0d6ec8c04793271edd380343d6ea9d590882f

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.044298Z digest=sha256:90506afeb70ef23d9284177c6252c48083c4d5444bbdc50424b31e6341307635

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.047966Z digest=sha256:333b9122acdae90de5dd6325001d0ac09eff62839322f5fa6a130f834bde23a9

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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no resolver link, observed 2026-08-16T05:32:22.051170Z

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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verified fuzzy
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.054353Z digest=sha256:b7d3fa09e3475754b527c753b01ce20c85e60cb1ff226c49ec3b79ed0c885faf

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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verified fuzzy
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.057665Z digest=sha256:5f6ddd0feb0ba397f5374f90e7af84b727832c63cbe052d2de2f5ea4230e18a2

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.060825Z digest=sha256:059434e230ac857ea7440303499830567e099a2f29efc17f3c2635fee79a0553

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.064059Z digest=sha256:f34ac718f210e00fde121e28c891830865f1127e4ec9677af88107b556bdf0cb

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.067114Z digest=sha256:07156a6ca0a7706177d5f39a667a86a744ecbdb42881626a34a4cb898b6d2fbc

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.070543Z digest=sha256:a217efad77ea60e0b4d08991ffc4c7c6ae926fe45b771be75e478cb2df824ee0

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.073624Z digest=sha256:2f8334e08d819a064e932efa8daf777c1294a4f5a50c2c97cc05d5c0965757f3

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:da7d450c9c39d809c8a1f0a02eb4853f3dd284eaa9dac3633100aac4ca60b262

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

Resolution
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.081081Z digest=sha256:e28fc3aaa4aab9060bc57e5979bf07f096928e7437869e491ea9f81de6715300

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.084629Z digest=sha256:2461e0e74b977bd73f9519f25a17b2cf432bce0bc26bb7677b8a60277c7b8b25

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.092768Z digest=sha256:35330dcde91ec49ac89ae723121a61bb34b44e8b836f62aff8b1e3ea2c9e3f19

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.096703Z digest=sha256:d15263ee159591115cdfeb1e9d7e570314e76b58c04429fced8d71beba6b2562

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.103908Z digest=sha256:ab416f906103897eaf6da25e38acad1d8e56ccedeac6170e4d620fc3e2e89e21

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.106891Z digest=sha256:2525eb1850903fe754dde073aa75d8c5230688235120c74aa49507466c0f0c34

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.110126Z digest=sha256:f200c8cdbde5ac960c24827e849e9986eff49b48d4e29aa8e577f7a544e53941

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.113491Z digest=sha256:f034c13b03fbc0edf27c952d4f0e98ac3384d72f7cafe0e6ddbd953dec4e594e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.120218Z digest=sha256:d30d769fd4fc00bb5898955f2355fdb79b4b3b127337ff17d738fdd1f46ef415

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.123217Z digest=sha256:a98bdd73c2fac0933b946edea437f4ccb2f1deea8eb27ee03c277de15b9dd28e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.133260Z digest=sha256:0df52476691149c0e4586344495ce01a9c57f042ad99c44af2d6b3132f904f0c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.136994Z digest=sha256:d4e86d5819b0bf572e4c0234ecf1256ae6c8cf753c928a1d9086887c29c21295

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.141030Z digest=sha256:5079ccf9e8cd81cdec3d6a96dda600279de8abf06edf98152fc05209121fb09e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.100744Z digest=sha256:64e46c0012bacd814ce25d0f3d71c54e54136811d625841e6d51cf1a9c442e18

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:32:22.144510Z digest=sha256:2c5ef0c208632c49645bf2d14d805e2b2531e64a9ba366a3d3cef4073c5abd64

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T02:43:34.699162Z digest=sha256:05ce089211650e9d0b5f5dce8f84cf58fb8750176ee04d5d4bed26b2828f39f1

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T21:40:23.491711Z digest=sha256:f576402cf691f14adf542f5b2ab8f45de94d2bfdf6efb9fc5f4890b3ccee9a9f