Paper Citation Record · LEDGER

Quantized Spike-driven Transformer

As of 20 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 4 inbound Pith citation observations for arXiv:2501.13492.

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

pith.paper-citation-record.v1
2501.13492 v5

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:12:23.996726Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:59:56.492367Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T10:46:17.284746Z

Reference resolution

34 of 34 outbound references displayed

verified exact2
verified fuzzy12
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e229c4c5-8af2-451f-af6f-5ce774baba56 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Quantized Spike-driven Transformer Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:23.853878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5df2e960-8a7a-4c06-bc60-cacc611a30d3 · outbound

This paper cites an unresolved cited work.

Quantized Spike-driven Transformer Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:12:24.552311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f401c2aa-0993-425f-9a39-5f4d191091c0 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Quantized Spike-driven Transformer Distilling the Knowledge in a Neural Network

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:23.882142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2929d856-d3c3-4500-9743-72fa9a56390d · outbound

This paper cites 1.1 computing’s energy problem (and what we can do about it).

Quantized Spike-driven Transformer 1.1 computing’s energy problem (and what we can do about it)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.686851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56a53260-db2a-4ca9-ae6f-4314ab0b3153 · outbound

This paper cites For the three different model scales—1.8M, 3.8M and 6.8M parameters—we allocated 24, 28 and 36 hours of training time, respectively.

Quantized Spike-driven Transformer For the three different model scales—1.8M, 3.8M and 6.8M parameters—we allocated 24, 28 and 36 hours of training time, respectively

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.496265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 36080068-9add-4468-8238-7deeeafc5e9a · outbound

This paper cites Microsoft coco: Common objects in context.

Quantized Spike-driven Transformer Microsoft coco: Common objects in context

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:23.904519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7831859d-7b87-498e-a7df-4ec9979c8307 · outbound

This paper cites SpikeBERT: A Language Spikformer Learned from BERT with Knowledge Distillation.

Quantized Spike-driven Transformer SpikeBERT: A Language Spikformer Learned from BERT with Knowledge Distillation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:23.908647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a86776fd-598a-4e8d-880b-4f50cd775670 · outbound

This paper cites Efficient 3D Recognition with Event-driven Spike Sparse Convolution.

Quantized Spike-driven Transformer Efficient 3D Recognition with Event-driven Spike Sparse Convolution

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:23.917364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86e46bda-6390-4e00-a688-00a6e866b4c3 · outbound

This paper cites SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks.

Quantized Spike-driven Transformer SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:23.926171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f9592d7-3786-4465-ba72-565ae5417e73 · outbound

This paper cites Training low-latency spiking neural network through knowledge distillation.

Quantized Spike-driven Transformer Training low-latency spiking neural network through knowledge distillation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.635776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c023c5a-a57f-4549-955d-9181bd4da027 · outbound

This paper cites Training low-latency deep spiking neural networks with knowledge distillation and batch normalization through time.

Quantized Spike-driven Transformer Training low-latency deep spiking neural networks with knowledge distillation and batch normalization through time

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.621113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dd97a3d7-694d-4cae-841b-faa8b96efa9f · outbound

This paper cites Event-Driven Learning for Spiking Neural Networks.

Quantized Spike-driven Transformer Event-Driven Learning for Spiking Neural Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:23.942948Z

Source-reported events for the cited work

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Observation 2a64f8d5-31b7-4fc8-8e89-487c9ba17f1c · outbound

This paper cites Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training.

Quantized Spike-driven Transformer Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:12:24.105256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc09fbd3-168b-4200-b50f-60a3fb508e9e · outbound

This paper cites Resnest: Split-attention networks.

Quantized Spike-driven Transformer Resnest: Split-attention networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.607772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d91a16e5-0168-4815-a900-3e7da06bb9b7 · outbound

This paper cites Spikingformer: Spike-driven residual learning for transformer-based spiking neural network.

Quantized Spike-driven Transformer Spikingformer: Spike-driven residual learning for transformer-based spiking neural network

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:23.955839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e94cc59a-2a9a-4471-a604-5ca24620e255 · outbound

This paper cites an unresolved cited work.

Quantized Spike-driven Transformer Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:12:24.594229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8684e11d-1e52-4d41-8014-3a7b1ae7a9f8 · outbound

This paper cites an unresolved cited work.

Quantized Spike-driven Transformer Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:12:24.580991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ef05d33-5e64-4d83-9b5f-13625c33e60a · outbound

This paper cites Many performance analyses in the research of spiking neural networks (SNNs) (Panda et al., 2020; Qiu et al., 2024a; Shan et al.,.

Quantized Spike-driven Transformer Many performance analyses in the research of spiking neural networks (SNNs) (Panda et al., 2020; Qiu et al., 2024a; Shan et al.,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.538647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8a82f29-f043-4306-a301-aa5cf360ed1b · outbound

This paper cites an unresolved cited work.

Quantized Spike-driven Transformer Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:12:24.523581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f46a2cca-1dce-4035-9888-d1b2abeb0cad · outbound

This paper cites an unresolved cited work.

Quantized Spike-driven Transformer Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:12:24.509883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ae176aa-95b4-4321-895f-d88bfb175b45 · outbound

This paper cites an unresolved cited work.

Quantized Spike-driven Transformer Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:12:24.468120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a625a82e-fa64-4e99-8269-0d939ff28619 · outbound

This paper cites We conducted training on four 40GB A100 GPUs for a duration of 26 hours.

Quantized Spike-driven Transformer We conducted training on four 40GB A100 GPUs for a duration of 26 hours

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.482088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0680c2d7-58a0-4afd-a427-311f5df89d7e · outbound

This paper cites A million spiking- neuron integrated circuit with a scalable communication network and interface.

Quantized Spike-driven Transformer A million spiking- neuron integrated circuit with a scalable communication network and interface

Reference 1997

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.663728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ff7d1db0-a44a-4cd5-878f-eb86b2e91671 · outbound

This paper cites 1 − j2 2T + o j√ T σ 2!#T =.

Quantized Spike-driven Transformer 1 − j2 2T + o j√ T σ 2!#T =

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.566489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 61c054ec-4209-4973-a884-c425b71a17eb · outbound

This paper cites JiaKui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, and Guoqi Li.

Quantized Spike-driven Transformer JiaKui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, and Guoqi Li

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:23.890804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f792d5b0-a15e-4a3c-b9d6-b37c53b547ff · outbound

This paper cites Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes.

Quantized Spike-driven Transformer Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:23.877602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cc56652-0d06-4e38-85cf-069ffdac5a9b · outbound

This paper cites Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation.

Quantized Spike-driven Transformer Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:23.899953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75374695-57d5-4d94-ab58-34639b5ce4c5 · outbound

This paper cites Imagenet: A large-scale hier- archical image database.

Quantized Spike-driven Transformer Imagenet: A large-scale hier- archical image database

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.715539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a5a44a9e-fa23-4509-985b-f6cc73982715 · outbound

This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.

Quantized Spike-driven Transformer Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:23.895246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b59642f2-1f51-4dad-a7f5-b05009b1daaf · outbound

This paper cites Advancing Spiking Neural Networks towards Multiscale Spatiotemporal Interaction Learning.

Quantized Spike-driven Transformer Advancing Spiking Neural Networks towards Multiscale Spatiotemporal Interaction Learning

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:12:24.155293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 70cdbea1-db58-4e47-a4c3-954c422d4235 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Quantized Spike-driven Transformer An image is worth 16x16 words: Transformers for image recognition at scale

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.701361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 26dab8d0-1849-40ef-a212-ce31e701562c · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

Quantized Spike-driven Transformer MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:23.859391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bc70198-7ab1-4143-998d-3fa064711cd0 · outbound

This paper cites Jianhao Ding, Zhaofei Yu, Yonghong Tian, and Tiejun Huang.

Quantized Spike-driven Transformer Jianhao Ding, Zhaofei Yu, Yonghong Tian, and Tiejun Huang

Reference 2023

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T16:12:24.426567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 690ab9c4-4849-4f0f-a0d4-18adf64db9cf · outbound

This paper cites Slayer: spike layer error reassignment in time.

Quantized Spike-driven Transformer Slayer: spike layer error reassignment in time

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.649403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation f8b97c7c-3885-477b-b53c-2575fba489c3 · 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 Quantized Spike-driven Transformer

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T13:57:21.400478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2cd33fa-0c6f-42ed-92a8-5124218ac8e4 · inbound

What Is Next for LLMs? Next-Generation AI Computing Hardware Using Photonic Chips cites this paper.

What Is Next for LLMs? Next-Generation AI Computing Hardware Using Photonic Chips Quantized Spike-driven Transformer

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-15T22:59:56.492367Z

Source-reported events for the cited work

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Observation dfeddd0b-b020-41ba-a738-5b7133bb182b · inbound

SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network cites this paper.

SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network Quantized Spike-driven Transformer

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:46:17.287777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 830bce0b-d91b-46a2-9952-7d8b25d99649 · inbound

SAFformer:Improving Spiking Transformer via Active Predictive Filtering cites this paper.

SAFformer:Improving Spiking Transformer via Active Predictive Filtering Quantized Spike-driven Transformer

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:51:14.512883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.