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Paper Citation Record · LEDGER

Spikformer: When Spiking Neural Network Meets Transformer

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2209.15425.

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

pith.paper-citation-record.v1
2209.15425 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 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 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:35:39.637825Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:48:21.528597Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • malformed identifier0
  • metadata mismatch0

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 cc130afe-6736-4ff7-a0c6-7a928dcfd4a8 · inbound

EventCrab: Harnessing Frame and Point Synergy for Event-based Action Recognition and Beyond cites this paper.

EventCrab: Harnessing Frame and Point Synergy for Event-based Action Recognition and Beyond Spikformer: When Spiking Neural Network Meets Transformer

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:35:42.282370Z

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=2026-05-23T16:33:11.271072Z digest=sha256:acec7ec5ba78a929cfec8f79b970f72b51550e1076115daf7776eb58fb9d074a

Observation fbf03bcb-645e-4c12-bdbe-83e3e30dceb5 · inbound

Temporal-Aware Spiking Transformer Hashing Based on 3D-DWT cites this paper.

Temporal-Aware Spiking Transformer Hashing Based on 3D-DWT Spikformer: When Spiking Neural Network Meets Transformer

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:22:35.192142Z

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=2026-05-23T05:19:28.832183Z digest=sha256:57e96ec20fad5b92d706b9b27dcdc8e88269c989606c5ce01a4c653f3b39dcab

Observation 57d714de-8d9a-472e-82b4-fdd878938e14 · inbound

Energy-Efficient Deep Reinforcement Learning with Spiking Transformers cites this paper.

Energy-Efficient Deep Reinforcement Learning with Spiking Transformers Spikformer: When Spiking Neural Network Meets Transformer

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T15:35:39.637825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:35:39.637825Z digest=sha256:c8e5768608746bd2ac6d8e8663207063eeeae3393011cab887c4f66f7404b282

Observation 46043712-dc94-4421-871e-5663e2582dac · inbound

Multi-Timescale Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning cites this paper.

Multi-Timescale Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning Spikformer: When Spiking Neural Network Meets Transformer

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:06.676151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:09:06.676151Z digest=sha256:52d91c67373aec950e27c114f94361551bca2653c35d8d1c8f6633d8b2e8cc74

Observation 2d10c1fc-6f01-42fc-a341-54da09267961 · inbound

Spike-TBR: a Noise Resilient Neuromorphic Event Representation cites this paper.

Spike-TBR: a Noise Resilient Neuromorphic Event Representation Spikformer: When Spiking Neural Network Meets Transformer

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T10:36:35.867095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:36:35.867095Z digest=sha256:3a5bfca465e73ce81efd691b9d921db9c04925a58ef795f5e6fdc77efbc48e9c

Observation 9a024f9a-b175-4991-97d4-e293bc06f853 · inbound

Transformer-based EEG Decoding: A Survey cites this paper.

Transformer-based EEG Decoding: A Survey Spikformer: When Spiking Neural Network Meets Transformer

Reference 122

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:03.143851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:03.143851Z digest=sha256:db34cb131398fdd4dd5ee476f4ebd2b0ad822348c344e78ba4e05986ffddddc8

Observation a672317f-b8c9-4bdc-a3c8-83102c54deb3 · inbound

TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers cites this paper.

TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers Spikformer: When Spiking Neural Network Meets Transformer

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T08:05:01.310676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:01.310676Z digest=sha256:28d1c9b4662dc7609d75ed2a79dd0d42594afc48b9760282b3c4faf1cc528d94

Observation ae1aff15-7778-4b84-8bd8-ab9f85385674 · inbound

Linguistics and Human Brain: A Perspective of Computational Neuroscience cites this paper.

Linguistics and Human Brain: A Perspective of Computational Neuroscience Spikformer: When Spiking Neural Network Meets Transformer

Reference 268

Resolution
unresolved
no resolver link, observed 2026-08-03T03:22:46.627192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:22:46.627192Z digest=sha256:46a7e2274cfd5cdda173ba19a07e4bb678c199f54339cb169b436e652234f59a

Observation cb2427c0-021f-4bcb-8610-ed5c37efdbfe · 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 Spikformer: When Spiking Neural Network Meets Transformer

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:00:58.501560Z

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=sha256:84cbb6f1c4f7eb537eaa6dcf38afc2912a24032d305c1febf8e194b8fc33fe8f

Observation 11976bc7-0bc6-4b38-8d51-0699f9b4ec76 · inbound

Fuzzy Encoding-Decoding to Improve Spiking Q-Learning Performance in Autonomous Driving cites this paper.

Fuzzy Encoding-Decoding to Improve Spiking Q-Learning Performance in Autonomous Driving Spikformer: When Spiking Neural Network Meets Transformer

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:45:51.932427Z

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=2026-05-10T18:53:56.536752Z digest=sha256:d4c9da44265c573ee5e8f4ed1c8d95664e902b66d6d8f3b9c51618a0b3f70295

Observation de7514f9-e162-4ab4-b9c0-4603e25aac2f · inbound

Affinity Is Not Enough: Recovering the Free Energy Principle in Mixture-of-Experts cites this paper.

Affinity Is Not Enough: Recovering the Free Energy Principle in Mixture-of-Experts Spikformer: When Spiking Neural Network Meets Transformer

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:51:41.276030Z

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=2026-05-09T19:10:18.888463Z digest=sha256:0ce4fd0ea8ca528829e2b12af84a868f840f977cad15856fda2ba0c4c9c61317

Observation 0265d11a-6137-44f0-8a8c-518a60a6ca83 · inbound

Spiking Sequence Machines and Transformers cites this paper.

Spiking Sequence Machines and Transformers Spikformer: When Spiking Neural Network Meets Transformer

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:51:06.147417Z

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=2026-05-09T14:53:48.381410Z digest=sha256:0aa3bc0f39d9b96d6215021a5407ecb3cdc7544a9c7e502885dfd71158f5db3d

Observation 7128cb43-ad86-4be7-8b1c-02820d6656ae · inbound

ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization cites this paper.

ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization Spikformer: When Spiking Neural Network Meets Transformer

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:55:31.994292Z

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=2026-05-08T19:16:51.787216Z digest=sha256:8bb42ad58138ce37616343f1c4058a8a05086aa1fbf5752009e7b26a1926e9d1

Observation 08934ef5-fe26-4321-9963-24981aa39ffb · inbound

Uncertainty-Aware Token Importance Estimation in Spiking Transformers cites this paper.

Uncertainty-Aware Token Importance Estimation in Spiking Transformers Spikformer: When Spiking Neural Network Meets Transformer

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:11:24.215923Z

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=2026-05-12T04:31:33.656789Z digest=sha256:7660ed09fc5b26d76521ab678d2e2eea27ade3d715fede8e1810ebef0933a004

Observation d8cd97a9-b4c7-4621-9acb-154f5a37d7c5 · inbound

BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation cites this paper.

BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation Spikformer: When Spiking Neural Network Meets Transformer

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:15:11.718448Z

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=2026-05-15T07:11:46.177353Z digest=sha256:9ee8c29b3bb02f8fb6e0fb8a2c1e1ce71fe5fe4647cff995a91add20e5d3268a

Observation 81f5a03a-765e-46f5-9347-429c23eae101 · inbound

Plug-and-Play Spiking Operators: Breaking the Nonlinearity Bottleneck in Spiking Transformers cites this paper.

Plug-and-Play Spiking Operators: Breaking the Nonlinearity Bottleneck in Spiking Transformers Spikformer: When Spiking Neural Network Meets Transformer

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T08:19:52.508070Z

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=2026-05-21T08:17:45.899981Z digest=sha256:d9ff6ea952dcc84b74f745499bd02dd914e37967d9b93410b97f830d093d9409

Observation 4fe2f77b-4f14-4765-995c-29e0e25e9a1f · inbound

ELSA: An ELastic SNN Inference Architecture for Efficient Neuromorphic Computing cites this paper.

ELSA: An ELastic SNN Inference Architecture for Efficient Neuromorphic Computing Spikformer: When Spiking Neural Network Meets Transformer

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-21T02:23:55.393997Z

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=2026-05-21T02:22:20.860556Z digest=sha256:43765111852371fd168a6ce330f0c1857b21df2b066c3a9aa31a8a0d1d553280

Observation 7b4b05c2-bd37-425d-b86d-109afab242e1 · inbound

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

SpikingMoE: SDPrompt-Guided Dynamic Expert Fusion in Spiking Neural Networks Spikformer: When Spiking Neural Network Meets Transformer

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-25T02:55:16.554277Z

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:baf7e64a3aa2185afc6f7006bef340c9b8a7cef186ea3352e209c36b4ca7af25

Observation cc1b8bfe-138a-47fa-89c9-970e3a1d9240 · inbound

UniSpike: Accelerating Spiking Neural Networks on Neuromorphic Systems via Eliminating Address Redundancy cites this paper.

UniSpike: Accelerating Spiking Neural Networks on Neuromorphic Systems via Eliminating Address Redundancy Spikformer: When Spiking Neural Network Meets Transformer

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-25T02:25:15.439977Z

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=2026-05-25T02:21:57.297453Z digest=sha256:faa259f991a368fb96d348a6dbce404442dc91501ba3551031210543d0258df7

Observation 1a12a8a0-1013-4c99-8448-b6c39bb6f77b · 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 Spikformer: When Spiking Neural Network Meets Transformer

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:05:04.816274Z

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=sha256:56f4c483b252ceb2b8fa05700cda5e3a76899e0ed04d7acef8fdee699f09912d

Observation 65ab3b1f-1a5e-49c0-88b5-bec75a3d020b · inbound

SpikeHash: Learning Binary Codes with Spiking Neural Networks for Cross-Modal Hashing Retrieval cites this paper.

SpikeHash: Learning Binary Codes with Spiking Neural Networks for Cross-Modal Hashing Retrieval Spikformer: When Spiking Neural Network Meets Transformer

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:46:13.193534Z

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=2026-06-28T18:07:55.587710Z digest=sha256:a280391a5380a386f02771667aad7625c136c703c9bcb9b1201661e846b78e21

Observation e875c23b-21f0-4710-af44-29c25840d028 · inbound

Spiking and Event-driven Neuromorphic Mamba Models for Efficient Speech Recognition cites this paper.

Spiking and Event-driven Neuromorphic Mamba Models for Efficient Speech Recognition Spikformer: When Spiking Neural Network Meets Transformer

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:46:15.485135Z

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=2026-06-28T16:22:07.001549Z digest=sha256:082874955e2a515f1c5a5a93bf1b4badc658aec86c94e76ca3279bb447979ed7

Observation fd5c5398-9a30-44a2-b99b-0a9ca11987a9 · inbound

FS-DVS: A Frequency-Selective Dynamic Visual Sensing Paradigm for Enhancing Information Completeness cites this paper.

FS-DVS: A Frequency-Selective Dynamic Visual Sensing Paradigm for Enhancing Information Completeness Spikformer: When Spiking Neural Network Meets Transformer

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:27:08.869358Z

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=2026-06-27T22:47:02.310539Z digest=sha256:5dbe0fbe7671fe8d79c151bc8c02dfcafda073c4627d1102dcfbb01c192c4209

Observation 5cbeacdb-2a7d-4e88-bf55-94c3ef0e0772 · 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 Spikformer: When Spiking Neural Network Meets Transformer

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:26:54.917483Z

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:ffad7172d17ff2f19a393fff47a90ed6f085fa6c366ea4a94d8991259e01a8bc

Observation 53a35851-e741-42fe-b667-db59960b3ee3 · inbound

LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning cites this paper.

LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning Spikformer: When Spiking Neural Network Meets Transformer

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:48:21.530731Z

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=2026-06-27T07:26:58.608421Z digest=sha256:1aff4a013598ecfacad774476778fa1f23ba1687417e10cdd6298d732382301c

Observation adf4a3ca-6ed2-4bf1-bc7c-f618b4d6ab4e · inbound

Bio-SFT: Asymmetric Cortical Guidance and Retinal Adaptation for Robust HDR Reconstruction cites this paper.

Bio-SFT: Asymmetric Cortical Guidance and Retinal Adaptation for Robust HDR Reconstruction Spikformer: When Spiking Neural Network Meets Transformer

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T17:56:25.511562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:56:25.511562Z digest=sha256:67ab9697c98c6439281ac37635cf5eba65c0855fac3a19357454f5cbc67b9a69

Observation 382497b7-3440-4346-92e7-2c092b8480ef · inbound

Neuromorphic Diffusion Language Models: Addressing Compute and Memory Bottlenecks via Sparsity and Block Denoising cites this paper.

Neuromorphic Diffusion Language Models: Addressing Compute and Memory Bottlenecks via Sparsity and Block Denoising Spikformer: When Spiking Neural Network Meets Transformer

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T05:35:17.217661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:35:17.217661Z digest=sha256:7cb0216a4562baf8a7ecbf2670410bba6f7f8f5856c7ffff07ed4d59b84afc7e

Observation 8ba6ba3a-4cbd-4c0a-bc0e-20daec102149 · inbound

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks cites this paper.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Spikformer: When Spiking Neural Network Meets Transformer

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-05T00:04:39.085741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:04:39.085741Z digest=sha256:332643907fc52e04365e786f061eee4310230c8fb121ca25d4fa42446cdda03b

Observation 1e7f83cc-4011-4ccc-881a-15f9125d931d · inbound

Spike-HTR: Spiking Neural Transformer for Handwritten Text Recognition cites this paper.

Spike-HTR: Spiking Neural Transformer for Handwritten Text Recognition Spikformer: When Spiking Neural Network Meets Transformer

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T23:43:52.971780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:43:52.971780Z digest=sha256:78c9e5140bdef3000efa41f59daa60028325d6b4b3ddfc825ecd695dd33fe66f

Observation 2d0b9cee-5cd5-4f98-94cc-511e7dff0a59 · inbound

SpikeRestormer: Towards Energy-Efficient All-in-One Image Restoration via Unified Event Reasoning cites this paper.

SpikeRestormer: Towards Energy-Efficient All-in-One Image Restoration via Unified Event Reasoning Spikformer: When Spiking Neural Network Meets Transformer

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-04T09:57:25.005544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:57:25.005544Z digest=sha256:5f13cc28f4e7586f29581ed33468e679596a31f51b6658b550f51d8ca6d8d389