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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 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:34:36.853584Z

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 cd6b438e-09ac-4275-b949-fb431d2c5b3c · inbound

QP-SNN: Quantized and Pruned Spiking Neural Networks cites this paper.

QP-SNN: Quantized and Pruned Spiking Neural Networks Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T17:34:36.853584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:34:36.853584Z digest=sha256:1fba87b70d810948574b33dd032e620aa9ed2373f8c82b8c019c5bbfc958e0cd

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=sha256:7d39ec36761d8d72d461703d0dff190edf382d36c211e1903b82bc79d894fea5

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=sha256:6cd50828a7a55e002b83451b28d28c1f00977baaef098cab0309e399c4446dee

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=sha256:9af4cd0ef151af5280056a93bddb535ad5529e9679fc3501fe2ac6f8b3891e16

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

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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=sha256:9a7a1e1dda90795800054f0912f169da0439508ba882041ee6111f8fdb6a0195

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=sha256:64d4665f043b8354e6c602955cefd0baaeaeca15c2593d3f968751729b398118

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:22:14.115872Z digest=sha256:af157e12f8db14db69178a02a5796978913aca57a4392ee01cbcd7819ad7367e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T06:17:49.425564Z digest=sha256:73eb792e07cb54b9372d4552755da8f0a20d4b79a68c635db60f5ee1ab1ed3cc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T02:52:20.233738Z digest=sha256:942e5107d087acd26cbfa9474b5fb3c159e18427f3d6b314403fc8f1ceb636ab

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T19:59:08.091666Z digest=sha256:5be8f651be54099ce06068089871d0d9da07633571cfeed5eb466497e4bde408

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T03:34:36.242244Z digest=sha256:996e83c25ec82c90e02be9a6752e3edda3cd5fc27811762f7a9877a643c59e40

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:dde5eaa6cfd59cf5c684b7913721b49393df30cb410a85911c8443fa0595af50