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Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 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

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:31:33.406923Z

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

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Outbound references

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Pith citing papers

Observation 49dde595-c022-4ee5-8c48-8e54ec359d34 · inbound

Combining Aggregated Attention and Transformer Architecture for Accurate and Efficient Performance of Spiking Neural Networks cites this paper.

Combining Aggregated Attention and Transformer Architecture for Accurate and Efficient Performance of Spiking Neural Networks Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 46

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source=pdf_text observed=2026-08-11T13:04:27.787518Z digest=sha256:4c7e2c25397ecdcc4c6128708b70dded8b275d6f5839a8c2df66655a647b4216

Observation 429e8f9b-bbc6-4ac2-a343-df3008208bf5 · inbound

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Network cites this paper.

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Network Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 2022

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source=pdf_text observed=2026-08-11T13:00:10.635742Z digest=sha256:be1e44b90aae7ccc7eae5df9cfe7949df7e047ac691ff89a704b2c9dda1fefe3

Observation baec7fdf-28f4-4d4b-9e07-7525b06ee00f · inbound

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions cites this paper.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 23

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source=pdf_text observed=2026-08-11T05:24:30.134914Z digest=sha256:8f264a3ab8f3bf759772e826dd462525e1ba41ddf1b6d56117cf28a8b2eaf62e

Observation 3349ce29-f6b8-4aeb-8921-f00c17ed744b · inbound

Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation cites this paper.

Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 6

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source=arxiv_source observed=2026-08-10T20:36:11.054628Z digest=sha256:a4350ddf3a2f3c810a7d9fc71bfb8dc4cf5df6424c973a37461ac273196d91fa

Observation c71f30a5-4b34-483b-b449-799ff9b0a6cd · inbound

FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks cites this paper.

FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 10

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source=arxiv_source observed=2026-08-11T15:23:04.428809Z digest=sha256:3b18a3ba99998fb4ab3776bf661711ccfbfe1bed935f31fcaceb430f230e5049

Observation c2c37548-01c8-446e-a7e7-bb9833980e3a · inbound

Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment cites this paper.

Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 11

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source=arxiv_source observed=2026-08-10T13:57:21.200045Z digest=sha256:d9ddb99b76f74a6c95332537cc817b924b6e16326abf0453662856fc9fe5d998

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

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source=pdf_text observed=2026-08-08T17:34:36.853584Z digest=sha256:cb91b0ca09695037056dc62100c350ed9a7587f3413da2505379139ae351f2a1

Observation 18ece844-5d41-41fe-9216-4ce594e71b8f · inbound

Spiking Neural Network Feature Discrimination Boosts Modality Fusion cites this paper.

Spiking Neural Network Feature Discrimination Boosts Modality Fusion Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 40

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source=pdf_text observed=2026-08-09T05:34:14.358188Z digest=sha256:df1a6f946ce0f03710970af62ee1514cd4dd27cf8612b477526f7498c3784c3b

Observation 3c0181bb-0f3a-485b-9ab2-e48b8916e2cb · inbound

Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning cites this paper.

Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 8

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source=arxiv_source observed=2026-08-15T22:14:22.958125Z digest=sha256:f76b4601092ea5a11f9c8e6ca6ccc2387f567dfe7ae57bcc9d04e947e388e03b

Observation e049f257-43ad-45e6-80e1-6d97a02897d3 · inbound

Towards Robust Spiking Neural Networks:Mitigating Heterogeneous Training Vulnerability via Dominant Eigencomponent Projection cites this paper.

Towards Robust Spiking Neural Networks:Mitigating Heterogeneous Training Vulnerability via Dominant Eigencomponent Projection Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 5

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source=pdf_text observed=2026-08-15T21:01:34.219643Z digest=sha256:ebe2e69571d42a90bf806b702b7c5dc5c78401b2a4ca195e1414a00de0588d2b

Observation 083f4242-f68c-4f65-bba3-7b16a849175f · inbound

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network cites this paper.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 38

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source=pdf_text observed=2026-08-15T20:59:34.861811Z digest=sha256:f1dc65b4e6bf2e4a09fb34d20c9a257d39201090dcb0e189f07c9eda283d97c9

Observation d8e1daac-ed44-4657-9617-462f99132446 · inbound

Bishop: Sparsified Bundling Spiking Transformers on Heterogeneous Cores with Error-Constrained Pruning cites this paper.

Bishop: Sparsified Bundling Spiking Transformers on Heterogeneous Cores with Error-Constrained Pruning Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 15

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source=pdf_text observed=2026-08-15T20:45:57.535628Z digest=sha256:9400516b05d34c892696dc4f5ba34b37f8d57feea590f3ce6251f85a3a95ff1f

Observation 13630d10-1f7e-4efa-adb1-46b0d1eca5f4 · inbound

TDFormer: A Top-Down Attention-Controlled Spiking Transformer cites this paper.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 32

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source=pdf_text observed=2026-08-15T20:45:30.205573Z digest=sha256:cc857c89b7cab48ad7fb0af9e40f359caf25c4953fc54a7d94b38a33844b759f

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

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source=pdf_text observed=2026-08-07T05:34:51.523954Z digest=sha256:d7bc37d7cc8919fd8ae148de1fcb4b0b18cb4b6fbdf2c2bdd2f8bd32fef66c24

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

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source=pdf_text observed=2026-08-07T05:07:11.516763Z digest=sha256:9a3b59b4e22c8a4274d34fb363c9e8a089ecd57b8fc733cf50e59559fb7e1e4a

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

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source=pdf_text observed=2026-08-06T21:59:41.348884Z digest=sha256:4cde878c8b5ceda2840dd79ac213b2a1378dd91a6952aaea45b07a51e6449c5b

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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source=pdf_text observed=2026-08-06T11:15:55.468542Z digest=sha256:3996e2af75e23f0ad01e3fae2ff9464d79b749040ed533c1d550fbffd1059b33

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

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source=pdf_text observed=2026-08-02T17:37:50.255724Z digest=sha256:c2981f2a274225d0cc13746cc91687088da99e3f97f6176f72334285e18b459b

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T16:22:14.115872Z digest=sha256:ac21d0387d72bd116d7544d0849b34ef07eab92cff6c1e6c5f5bd5dcb62bf502

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T06:17:49.425564Z digest=sha256:428e1c2a3e80902bf1e280d1aab71384adee24f6e6d8401c5756fa671531c444

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T02:52:20.233738Z digest=sha256:68b70c0c5d4dcd5d834829b93b943df62a0c9541c98866f26933cd6ab4d9c4ef

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T19:59:08.091666Z digest=sha256:350d93f2c450429d0dbc631e2524cea88ff2d9f6671a5d305c22830498c6ea4c

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T03:34:36.242244Z digest=sha256:2da58ec3b9b701dd3e62b6aa28dc80cee31ae4e3fef9cbb52c680003ca4de24f

Observation ff3d32a6-de87-4cfe-8e56-3033684f10b1 · inbound

Breaking Diversity Collapse in Spiking Pseudo-Ensembles for Efficient OOD Detection in Remote Sensing cites this paper.

Breaking Diversity Collapse in Spiking Pseudo-Ensembles for Efficient OOD Detection in Remote Sensing Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 7

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source=arxiv_source observed=2026-08-15T15:18:37.626356Z digest=sha256:21e3adab4f230b3bcb7048832891bb32d1e85eacb741b6f45c4a1c6009b8d663

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

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source=arxiv_source observed=2026-08-05T21:03:59.088055Z digest=sha256:8f48f2e42cf4508fb4b302ed8b5b40cc44d33dae5ceec01ccd2bef47ddd36054

Observation 5f4e2458-6837-4aa8-84cb-9316e43d5f83 · inbound

Lapis: Laplacian Spiking Attention via First-Spike Timing and Membrane Leakage cites this paper.

Lapis: Laplacian Spiking Attention via First-Spike Timing and Membrane Leakage Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 7

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source=arxiv_source observed=2026-08-16T00:31:33.406923Z digest=sha256:5360c3f1233ed3d2e5f92acdbfc430f75ccc333445c00264a31838adc38bda58