Pith. sign in

Paper Citation Record · LEDGER

Quantized Spike-driven Transformer

As of 11 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 3 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 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:57:21.400478Z

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.

source=pdf_text observed=2026-08-10T16:12:23.853878Z digest=sha256:aa0210133b54c762ab3b6539225eff80653502a26fbf81db5455f22e7c1c45fa

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.972074Z digest=sha256:54095749e1e7a5c01e43eeba324c647d2203d205d928305c98742d6bab0ae699

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.

source=pdf_text observed=2026-08-10T16:12:23.882142Z digest=sha256:f1376482593bb7f8623e471026763e043be8b28f096b7be8634f65f977b7ca0f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.886672Z digest=sha256:dd58fd6204e2dc2ac91801a511387dda3f0763bc1d5b9bcf19a15243eb17d2fb

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.988474Z digest=sha256:09f12eb660ccdb19050d1078535246205bdb92e6db20f1fb4596452a52fa4ca2

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.

source=pdf_text observed=2026-08-10T16:12:23.904519Z digest=sha256:21d33172550097528005c15b7b540daee54e441e3bfbf04858c613f9be637490

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.

source=pdf_text observed=2026-08-10T16:12:23.908647Z digest=sha256:0aa2f3ed439543993ded28f30161cbd672ce2be2df3348edf8f67c585aa6c67f

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.

source=pdf_text observed=2026-08-10T16:12:23.917364Z digest=sha256:746401bebccccc6a332a7000957478cd225d99144404ccf7ec9a9e151f74eeb0

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.

source=pdf_text observed=2026-08-10T16:12:23.926171Z digest=sha256:5989e19431aefdb4ca75c6b6aaac08667398971ca37699c48cef179b652d1a91

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.934315Z digest=sha256:b75eb9018fa8bd4c40cd7842528c00aa28db2ec058f5113cec58e837847fe47f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.938793Z digest=sha256:1e2e505931a275cc0a0cbf8bed028d3f949519588993579ce21f0fac34ca9f23

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:12:23.942948Z digest=sha256:ca5cd182d80447681a8bb0c0551ec30e0ba2e8bf79dcf759ae68d887b2806661

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.947440Z digest=sha256:ce6f428707d195582814af9032e8b162128b5f70a7025f866691ac9b42bcee76

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.951876Z digest=sha256:11123621d6f45473962b1db4440fdadf4bfcb390e6bde60fd2f5de68483547a3

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.

source=pdf_text observed=2026-08-10T16:12:23.955839Z digest=sha256:77202d43575ce17a78ea0ba3421f70809354b77508f8df271fed8f6fc57e5ddc

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.960020Z digest=sha256:abe4aacf2b600a6160888f4f63af144d91c0aa38bf92a31c6400fd52e2718f29

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.963911Z digest=sha256:3ea1d438fa80a7ed059aaea7a375782fd54a9cb085b6e315b505f542571e2276

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.976390Z digest=sha256:c42af9f4b5e0eb2d38d8aaa15154a73aa8392e2932f00007d8b1ba3b69e48777

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.980325Z digest=sha256:1efac45390e4d96575dd6c3ef5d4e13fbeeee9ad773780eae62892b8baf2f931

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.984257Z digest=sha256:a20d23c68b76de4f1b2776d8c5ee569703b72869e36ef08c804b7dd29a617104

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.996726Z digest=sha256:5ba41222920969b721e7c82e570298fbc364f62498cef6eabd978b11f740369f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.992570Z digest=sha256:fc4519480bb9669cd727e3990d44e7a01e178da4539f6694ebc9b86f40e05ecf

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.913386Z digest=sha256:4d686c282b86da32d9d9821fb4856073bfd6646a5ed74eb7c1927a5cc8ea3f47

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.967948Z digest=sha256:bc19268d5cf73b5dbb60edc4ec232582663122f1eba0031bf7f2785f549de789

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.

source=pdf_text observed=2026-08-10T16:12:23.890804Z digest=sha256:c396f8f483d7107ab2bd33b075460adf28efb7e46dffe09a87480b045df509ad

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.

source=pdf_text observed=2026-08-10T16:12:23.877602Z digest=sha256:a3716f690c9b4b93d95577481b6b86f6c179f11c5e94fd2a06140cb9b42a7400

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.

source=pdf_text observed=2026-08-10T16:12:23.899953Z digest=sha256:31bd89ca416f3a4731239e243add2ade8000c7cf37fc5cc95e0627815ef1dd4a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.864146Z digest=sha256:eb4f138bb4b9c89e0aa1b218cc1c6a42833a64860e44777b548baa6e67ff32f1

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.

source=pdf_text observed=2026-08-10T16:12:23.895246Z digest=sha256:b8e8f2dab475a4a40380c217fcf6a368b6e331a08f8fe1a37a9415fe8d61f0de

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.921810Z digest=sha256:8d6b21259914fe816188887f9ae850eef55e56f2a2bdf2d730a932a68e511823

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.873196Z digest=sha256:b229d95b422ef8d2f6cc568ffbfb2ab3424c68ce927dd2e4e8a94d8ed7f655a4

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.

source=pdf_text observed=2026-08-10T16:12:23.859391Z digest=sha256:f3d915956c7f3610397e4ff0c5e3e91d9b891368796f664bd1c2ef4b3552e52d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.868732Z digest=sha256:8a7e21e869b90368afeb7013fd71205e64f232010c4f66f412ae417ddf779fb2

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:12:23.930315Z digest=sha256:45131eb3a6ede5506406aef167e69765e7836397c0a4943729d4e80b6624113a

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.

source=arxiv_source observed=2026-08-10T13:57:21.400478Z digest=sha256:e3193acfac402200fa17c466fe59cc4fc96a017e63edb4b7860924249a554241

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T10:42:49.800347Z digest=sha256:1b00b1a63a05a4a247415d5aad125031a9c2854b181f157c5ee27cdbd37e9e0f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T00:50:47.085579Z digest=sha256:369546587143ce590eef1740ccbef217ea44e0667a80d2dd63b621f3bd03eb0d