Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:21:54.043766Z
Paper Citation Record · LEDGER
Integer Binary-Range Alignment Neuron for Spiking Neural Networks
As of 15 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2506.05679.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
49 of 49 outbound references displayed
- verified exact2
- verified fuzzy40
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2f2d121f-4805-442f-b8a7-2193bbd78e4f · outbound
This paper cites Enhancing train- ing of spiking neural network with stochastic latency.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Enhancing train- ing of spiking neural network with stochastic latency
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.399077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4835d836-84d7-469f-bd6e-1ece032c7e25 · outbound
This paper cites Optimal ann-snn conversion for high- accuracy and ultra-low-latency spiking neural networks.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Optimal ann-snn conversion for high- accuracy and ultra-low-latency spiking neural networks
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.391981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f4525fb1-bf84-4840-99b6-358d041d92f3 · outbound
This paper cites Spiking deep convolutional neural networks for energy-efficient ob- ject recognition.International Journal of Computer Vision, 113:54–66, 2015.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Spiking deep convolutional neural networks for energy-efficient ob- ject recognition.International Journal of Computer Vision, 113:54–66, 2015
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.383424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 42b1fa25-0b6b-45c1-a0d2-d2a19cc09f91 · outbound
This paper cites End-to- end object detection with transformers.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks End-to- end object detection with transformers
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.376146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6f759622-cb3f-4224-a403-ea76f0c939a4 · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Imagenet: A large-scale hierarchical image database
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:21:53.955107Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9a7d1af-f17f-4160-a8b2-cab9fa5ca326 · outbound
This paper cites Deep residual learning in spiking neural networks.Advances in Neural Information Processing Systems, 34:21056–21069, 2021.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Deep residual learning in spiking neural networks.Advances in Neural Information Processing Systems, 34:21056–21069, 2021
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.365518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d1a524f4-022f-45f5-9c65-f78e3ff7045b · outbound
This paper cites Incorporating learnable membrane time constant to enhance learning of spiking neu- ral networks.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Incorporating learnable membrane time constant to enhance learning of spiking neu- ral networks
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.359133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation eb20e9a2-221b-43f2-b13e-a007d88f8c93 · outbound
This paper cites Im-loss: information maximization loss for spiking neural networks.Advances in Neural Information Processing Systems, 35:156–166, 2022.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Im-loss: information maximization loss for spiking neural networks.Advances in Neural Information Processing Systems, 35:156–166, 2022
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.352506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c8db83ad-465d-4c83-a3aa-b012e0b9454f · outbound
This paper cites Reducing information loss for spiking neural networks.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Reducing information loss for spiking neural networks
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.346018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8f4ab19c-041d-4c8a-81e4-ba3b0a7270ab · outbound
This paper cites Real spike: Learning real-valued spikes for spiking neural net- works.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Real spike: Learning real-valued spikes for spiking neural net- works
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.339803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7419b9e9-24e4-4aad-9992-a17293ceedef · outbound
This paper cites Rmp- loss: Regularizing membrane potential distribution for spik- ing neural networks.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Rmp- loss: Regularizing membrane potential distribution for spik- ing neural networks
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.333450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b4e55554-5671-4b6c-b9a5-d589a811f8fc · outbound
This paper cites Joint a-snn: Joint training of artificial and spiking neural networks via self- distillation and weight factorization.Pattern Recognition, 142:109639, 2023.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Joint a-snn: Joint training of artificial and spiking neural networks via self- distillation and weight factorization.Pattern Recognition, 142:109639, 2023
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.326748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 17567784-0adc-4cf8-b884-412716577c3d · outbound
This paper cites Mem- brane potential batch normalization for spiking neural net- works.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Mem- brane potential batch normalization for spiking neural net- works
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.318742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f8e3ed80-7e98-4574-bec7-47f0a5ee8387 · outbound
This paper cites Ternary spike: Learning ternary spikes for spiking neural networks.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Ternary spike: Learning ternary spikes for spiking neural networks
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.310831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 44e2f3c7-db9b-4c2c-b492-84b8e7f69785 · outbound
This paper cites Deep spiking neural network: Energy efficiency through time based coding.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Deep spiking neural network: Energy efficiency through time based coding
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.302913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c5628eec-7a48-44aa-b44c-7bf618573c0d · outbound
This paper cites Rmp-snn: Residual membrane potential neuron for enabling deeper high-accuracy and low-latency spiking neural net- work.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Rmp-snn: Residual membrane potential neuron for enabling deeper high-accuracy and low-latency spiking neural net- work
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.294523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 51452714-9b1c-4787-8353-75fe72f50212 · outbound
This paper cites Reducing ann-snn conversion error through residual membrane potential.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Reducing ann-snn conversion error through residual membrane potential
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.285383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7e5e3c6f-0ff5-474a-8203-6a683f65b535 · outbound
This paper cites A progressive training framework for spiking neural networks with learnable multi-hierarchical model.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks A progressive training framework for spiking neural networks with learnable multi-hierarchical model
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.277013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e74458ee-1077-4411-9c1f-073dab828404 · outbound
This paper cites Batch normalization: Accelerating deep network training by reducing internal co- variate shift.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Batch normalization: Accelerating deep network training by reducing internal co- variate shift
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.268034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0a689bfc-95e7-4b6e-a39f-bfc7c1b6f11f · outbound
This paper cites A unified optimization framework of 9 ann-snn conversion: towards optimal mapping from activa- tion values to firing rates.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks A unified optimization framework of 9 ann-snn conversion: towards optimal mapping from activa- tion values to firing rates
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.259865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 436a6ba6-3a51-474a-8ff6-9f85ee999a2d · outbound
This paper cites Tab: Temporal accumulated batch normal- ization in spiking neural networks.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Tab: Temporal accumulated batch normal- ization in spiking neural networks
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.251270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8e0755e3-5589-4871-a843-f648a7133c45 · outbound
This paper cites Towards fast and accurate object detection in bio-inspired spiking neural networks through bayesian optimization.IEEE Access, 9:2633–2643, 2020.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Towards fast and accurate object detection in bio-inspired spiking neural networks through bayesian optimization.IEEE Access, 9:2633–2643, 2020
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.243744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 914db46b-4f28-489a-bfab-8f16d624f82d · outbound
This paper cites Spiking-yolo: spiking neural network for energy- efficient object detection.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Spiking-yolo: spiking neural network for energy- efficient object detection
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.236087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3c8b5ffa-1987-4baa-8c75-70549b7c994d · outbound
This paper cites Learning multiple layers of features from tiny images.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Learning multiple layers of features from tiny images
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:21:53.992970Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5742936-e862-466e-a48c-0db9366501e0 · outbound
This paper cites Cifar10-dvs: an event-stream dataset for ob- ject classification.Frontiers in neuroscience, 11:309, 2017.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Cifar10-dvs: an event-stream dataset for ob- ject classification.Frontiers in neuroscience, 11:309, 2017
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.224981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 430022cf-3d02-4a3d-a720-78b30d2089f7 · outbound
This paper cites Efficient and accurate conversion of spiking neural network with burst spikes.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Efficient and accurate conversion of spiking neural network with burst spikes
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.217487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5e500c58-0e98-4dc6-803d-aa7fad8c98d2 · outbound
This paper cites A free lunch from ann: Towards efficient, accurate spiking neural networks calibration.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks A free lunch from ann: Towards efficient, accurate spiking neural networks calibration
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.210148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 67676293-5b31-4d34-b00a-ff82a62b6cf5 · outbound
This paper cites Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:21:54.075985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 63248d31-67ad-475a-a9ea-397a95e37001 · outbound
This paper cites Microsoft coco: Common objects in context.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Microsoft coco: Common objects in context
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:21:54.003621Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02ffef53-8f6a-46d6-a8ef-b3abae9f2886 · outbound
This paper cites Integer-valued training and spike-driven inference spiking neural network for high-performance and energy-efficient object detection.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Integer-valued training and spike-driven inference spiking neural network for high-performance and energy-efficient object detection
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.199302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ec54d304-3b3a-4d8d-822e-63d617a2747e · outbound
This paper cites Training high- performance low-latency spiking neural networks by dif- ferentiation on spike representation.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Training high- performance low-latency spiking neural networks by dif- ferentiation on spike representation
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.190910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 71658ba4-8658-4e13-80f8-b5e140d9ef5b · outbound
This paper cites Towards memory-and time-efficient backpropagation for training spiking neural networks.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Towards memory-and time-efficient backpropagation for training spiking neural networks
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.183279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 81061fa7-711f-40f8-95ce-c8c101d3c274 · outbound
This paper cites Sign gradient descent-based neuronal dynamics: ANN-to-SNN conversion beyond reLU network.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Sign gradient descent-based neuronal dynamics: ANN-to-SNN conversion beyond reLU network
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.175598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 52147e91-ca9b-408d-a26f-18f9a55ce193 · outbound
This paper cites Gated attention coding for training high-performance and efficient spiking neural net- works.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Gated attention coding for training high-performance and efficient spiking neural net- works
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.168253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 785a2b58-f04d-4041-b2c0-f63b6d755404 · outbound
This paper cites Enabling deep spiking neural net- works with hybrid conversion and spike timing dependent backpropagation.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Enabling deep spiking neural net- works with hybrid conversion and spike timing dependent backpropagation
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.161311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d641968e-2b94-4654-9fea-9cfde9208d0d · outbound
This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE transactions on pattern analysis and machine intelligence, 39(6):1137–1149, 2016.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE transactions on pattern analysis and machine intelligence, 39(6):1137–1149, 2016
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:21:54.017349Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d074ed90-3837-4e82-a7b1-22d1d35f03a7 · outbound
This paper cites Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:21:54.066988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1bff3ad9-9a70-4af9-85b9-15fe6d880866 · outbound
This paper cites Going deeper in spiking neural networks: Vgg and residual architectures.Frontiers in neuroscience, 13:95,.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Going deeper in spiking neural networks: Vgg and residual architectures.Frontiers in neuroscience, 13:95,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.150854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6c0f5cda-9463-49e9-9365-e7e932f21e06 · outbound
This paper cites Large language models encode clinical knowledge.Nature, 620 (7972):172–180, 2023.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Large language models encode clinical knowledge.Nature, 620 (7972):172–180, 2023
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:21:54.023453Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a2c17b6-2e44-4b2e-b4d1-e809cdc4bb1a · outbound
This paper cites Deep directly-trained spik- ing neural networks for object detection.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Deep directly-trained spik- ing neural networks for object detection
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.140555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f938f005-db88-496b-b0ad-5b0fa7a97ed7 · outbound
This paper cites YOLOv5: A state-of-the-art real-time object de- tection system.https://docs.ultralytics.com,.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks YOLOv5: A state-of-the-art real-time object de- tection system.https://docs.ultralytics.com,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.133313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9ef24e24-4716-4d08-91e7-e3c372eb6669 · outbound
This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Attention is all you need.Advances in neural information processing systems, 30, 2017
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:21:54.031656Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24706358-ea4b-421f-b209-f661aee9e797 · outbound
This paper cites Direct training for spiking neural networks: Faster, larger, better.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Direct training for spiking neural networks: Faster, larger, better
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.116436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c761b18f-4be6-4eaa-aceb-cb923cd95ceb · outbound
This paper cites Bkdsnn: Enhancing the performance of learning-based spiking neural networks training with blurred knowledge dis- tillation.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Bkdsnn: Enhancing the performance of learning-based spiking neural networks training with blurred knowledge dis- tillation
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.110206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation db544578-55c4-46ad-ba5e-97fc664fda38 · outbound
This paper cites Spike-driven 10 transformer v2: Meta spiking neural network architecture in- spiring the design of next-generation neuromorphic chips.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Spike-driven 10 transformer v2: Meta spiking neural network architecture in- spiring the design of next-generation neuromorphic chips
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.103363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 53012280-1e20-466d-93de-b0fd7162101e · outbound
This paper cites Scaling spike-driven transformer with efficient spike firing approximation training.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Scaling spike-driven transformer with efficient spike firing approximation training.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.096551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3496b15e-7c1b-4a38-b47e-5d836e9cf655 · outbound
This paper cites Enhancing repre- sentation of spiking neural networks via similarity-sensitive contrastive learning.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Enhancing repre- sentation of spiking neural networks via similarity-sensitive contrastive learning
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.089484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c3acc8b8-1228-4abb-8a80-0a16f8b9ed7d · outbound
This paper cites Going deeper with directly-trained larger spiking neural net- works.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Going deeper with directly-trained larger spiking neural net- works
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:21:54.083026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6de9408d-e7d4-47cd-93ff-a364343b2117 · outbound
This paper cites an unresolved cited work.
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Unresolved cited work
Reference 2021
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:21:54.126907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.