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Paper Citation Record · LEDGER

Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2202.11946.

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

pith.paper-citation-record.v1
2202.11946 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:34:51.523954Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:26:54.913394Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5bdb933d-0a5e-4584-8126-e1b938293477 · inbound

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks cites this paper.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:51.523954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:51.523954Z digest=sha256:772e8775ea4a2412be56e1004f9284062b4378d6d7ab0c8e9733767a3aa05bc7

Observation 7fc47fd2-bc39-4f0a-88fe-3eb193813db4 · inbound

STI-SNN: A 0.14 GOPS/W/PE Single-Timestep Inference FPGA-based SNN Accelerator with Algorithm and Hardware Co-Design cites this paper.

STI-SNN: A 0.14 GOPS/W/PE Single-Timestep Inference FPGA-based SNN Accelerator with Algorithm and Hardware Co-Design Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:07:11.516763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:07:11.516763Z digest=sha256:4bad63590a2efacdf9de08be463deb86cdda9aea7ddb94f51d955d3b7161ae99

Observation 3ce725f6-36a1-4173-acd6-49ce53c6665b · inbound

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning cites this paper.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T21:59:41.348884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:59:41.348884Z digest=sha256:7172f73be75b94eb4d0eaab912e3df3daa7ed17c199f0c6dce3a8c105de7d450

Observation 79cda663-bdfe-4b56-8900-f1be1343eab1 · inbound

Adaptive Time-step Training for Enhancing Spike-Based Neural Radiance Fields cites this paper.

Adaptive Time-step Training for Enhancing Spike-Based Neural Radiance Fields Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T11:15:55.468542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:15:55.468542Z digest=sha256:6ed286a6327f329548170674a841da4b24a96b91d528ca5f6cc08a2472bdc331

Observation f85b3bd9-3f52-4c5a-b09b-8506c5c8d3ba · inbound

Latency Coding for Efficient and Low-Latency Deep Spiking Neural Networks cites this paper.

Latency Coding for Efficient and Low-Latency Deep Spiking Neural Networks Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-02T17:37:50.255724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:37:50.255724Z digest=sha256:b7f2b2c1e4fd1d21978d26271ffae7f51aac631289148a4cf618c966b9383347

Observation 6ea27fe1-ace8-41a0-ae69-f864fa185014 · inbound

Towards Green Wearable Computing: A Physics-Aware Spiking Neural Network for Energy-Efficient IMU-based Human Activity Recognition cites this paper.

Towards Green Wearable Computing: A Physics-Aware Spiking Neural Network for Energy-Efficient IMU-based Human Activity Recognition Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:00:58.491458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:22:14.115872Z digest=sha256:8e428c6a3a98debea7427d96fbdd6278797c2426987f4c2c3514a336d7cf49ba

Observation d6a2fb5e-1793-4515-8595-9560940ce97b · inbound

Breaking Global Self-Attention Bottlenecks in Transformer-based Spiking Neural Networks with Local Structure-Aware Self-Attention cites this paper.

Breaking Global Self-Attention Bottlenecks in Transformer-based Spiking Neural Networks with Local Structure-Aware Self-Attention Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:19:49.674837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T06:17:49.425564Z digest=sha256:fb6a869c74a00d5409ae39be0a2d65176bf50f7dfe763f57426ddd68bdfab0d2

Observation 7bf9350c-17f6-4fcb-ad2e-9fb9530b7c8f · inbound

SpikingMoE: SDPrompt-Guided Dynamic Expert Fusion in Spiking Neural Networks cites this paper.

SpikingMoE: SDPrompt-Guided Dynamic Expert Fusion in Spiking Neural Networks Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-25T02:55:16.560191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T02:52:20.233738Z digest=sha256:056edbdeea0a0ba7c8946a7213265da959a7b8ae61519b258b243cd878549614

Observation 5aa0ca9d-a1d4-415d-891a-880b626d2415 · inbound

Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and Learnable Gradients cites this paper.

Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and Learnable Gradients Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:05:04.789858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T19:59:08.091666Z digest=sha256:ba85e9ef73667f96ca6df38acdbd24dabfd9594a15715659dec21eeee1c95010

Observation 4145e6ea-bcb0-41cd-aead-41249b3194a0 · inbound

QDS-SNN: Energy-efficient Quantum Deeply-Supervised Spiking Neural Network Algorithm for Traffic Sign Recognition cites this paper.

QDS-SNN: Energy-efficient Quantum Deeply-Supervised Spiking Neural Network Algorithm for Traffic Sign Recognition Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:26:54.914978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T03:34:36.242244Z digest=sha256:d01b0a95771fc287f010cff61b4ed1212ca1cb8f1826cbc2966b8d2363c96293

Observation 4e8d7882-47f7-440b-b7bf-c35255c6c9b5 · inbound

AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning cites this paper.

AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-05T21:03:59.088055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:03:59.088055Z digest=sha256:3d38e1d5b9606d075edb87ff366be322b6609ecac0bef0dad8e2aa216e65c1a9