Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:45:10.510815Z
Paper Citation Record · LEDGER
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware
As of 18 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2505.12221.
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 2026-08-18T06:34:40.430872+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
41 of 41 outbound references displayed
- verified exact0
- verified fuzzy29
- unresolved12
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 25bb73ba-05d4-4dc8-b952-b1810cabdd0a · outbound
This paper cites Deep learning,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Deep learning,
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:45:10.358717Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4035b69-c120-4b5e-afa7-853310470bde · outbound
This paper cites The growing energy footprint of artificial intelligence,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware The growing energy footprint of artificial intelligence,
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:45:10.363616Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 348d0557-5ef6-4a61-9f4b-757d576b5bcd · outbound
This paper cites Towards spike-based machine intelligence with neuromorphic computing,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Towards spike-based machine intelligence with neuromorphic computing,
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:45:10.368069Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4abaaf0c-b8bc-4a11-bf95-d00a1ea10670 · outbound
This paper cites A million spiking-neuron integrated circuit with a scalable communication network and interface,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware A million spiking-neuron integrated circuit with a scalable communication network and interface,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.932432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fb71257b-e44d-4a0a-835f-c17c8b47dbe6 · outbound
This paper cites Loihi: A neuromorphic manycore processor with on-chip learning,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Loihi: A neuromorphic manycore processor with on-chip learning,
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:45:10.376952Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b0967fc-7630-4c03-9a0f-d6ebf3c466de · outbound
This paper cites Darwin3: a large-scale neuromorphic chip with a novel isa and on-chip learning,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Darwin3: a large-scale neuromorphic chip with a novel isa and on-chip learning,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.914517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 72b8b710-3aaa-4209-8634-56692fa3c358 · outbound
This paper cites Sparse Coding by Spiking Neural Networks: Convergence Theory and Computational Results.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Sparse Coding by Spiking Neural Networks: Convergence Theory and Computational Results
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:45:10.384721Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 36d37d15-345a-4197-806e-2c36cea30b9f · outbound
This paper cites Programming spiking neural networks on intel’s loihi,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Programming spiking neural networks on intel’s loihi,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.903431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f78bba45-5a41-4558-b975-7b838cf16de7 · outbound
This paper cites Attention is all you need,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Attention is all you need,
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:45:10.392180Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec164b47-6882-4fd7-9225-b0120414f6ca · outbound
This paper cites Con- version of continuous-valued deep networks to efficient event-driven networks for image classification,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Con- version of continuous-valued deep networks to efficient event-driven networks for image classification,
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:45:10.396090Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26901db6-3545-4af8-9cc3-302e85f453f3 · outbound
This paper cites Going deeper in spiking neural networks: Vgg and residual architectures,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Going deeper in spiking neural networks: Vgg and residual architectures,
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:45:10.400076Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee1d8992-f548-4c16-8cab-38f0b01d92ad · outbound
This paper cites Spiking-yolo: spiking neural network for energy-efficient object detection,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Spiking-yolo: spiking neural network for energy-efficient object detection,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.872834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b30c3811-0b10-4ff0-9ed2-d57ff0bf1930 · outbound
This paper cites Spiking deep convolutional neural networks for energy-efficient object recognition,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Spiking deep convolutional neural networks for energy-efficient object recognition,
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:45:10.406919Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5691aead-416e-4675-b915-9b9560ac9ec1 · outbound
This paper cites Fast- classifying, high-accuracy spiking deep networks through weight and threshold balancing,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Fast- classifying, high-accuracy spiking deep networks through weight and threshold balancing,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.855069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5d354bee-0a85-4a9e-9fc0-94c7bfca59ba · outbound
This paper cites Rmp-snn: Residual membrane potential neuron for enabling deeper high-accuracy and low-latency spiking neural network,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Rmp-snn: Residual membrane potential neuron for enabling deeper high-accuracy and low-latency spiking neural network,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.844590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6db3da46-0dba-4f11-97fa-55bb1a9b7bf8 · outbound
This paper cites Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:45:10.417051Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64277798-5065-4235-98f6-56e068c20a01 · outbound
This paper cites Error-aware conversion from ann to snn via post-training parameter calibration,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Error-aware conversion from ann to snn via post-training parameter calibration,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.834015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 676023ef-3e22-4230-b5af-08b4e17e1d54 · outbound
This paper cites Brain-inspired multi- layer perceptron with spiking neurons,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Brain-inspired multi- layer perceptron with spiking neurons,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.823275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0fa3c57b-4867-4293-bfe6-6af58d11cbb2 · outbound
This paper cites Fast-snn: fast spiking neural network by converting quantized ann,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Fast-snn: fast spiking neural network by converting quantized ann,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.812879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ae02f59b-8e50-4110-a624-e2fdb6649471 · outbound
This paper cites Spatio-temporal backpropa- gation for training high-performance spiking neural networks,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Spatio-temporal backpropa- gation for training high-performance spiking neural networks,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.802235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b85b3ed3-674b-46fc-8366-f6fcc1f9f15c · outbound
This paper cites Direct training for spiking neural networks: Faster, larger, better,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Direct training for spiking neural networks: Faster, larger, better,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.791596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dd896f1e-4d85-4d42-9f75-9f055268c42a · outbound
This paper cites Going deeper with directly-trained larger spiking neural networks,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Going deeper with directly-trained larger spiking neural networks,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.781230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3325ed97-be5d-49a8-b742-2f7ceaab353f · outbound
This paper cites Multi-level firing with spiking ds-resnet: Enabling better and deeper directly-trained spiking neural networks,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Multi-level firing with spiking ds-resnet: Enabling better and deeper directly-trained spiking neural networks,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.770510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7fa29410-44c7-4ba8-a6cc-2a82674ffa08 · outbound
This paper cites Towards memory-and time-efficient backpropagation for training spiking neural networks,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Towards memory-and time-efficient backpropagation for training spiking neural networks,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.759159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e5cdb96f-64be-45e7-80a1-0724f696b3d0 · outbound
This paper cites An efficient spiking neural network for recognizing gestures with a dvs camera on the loihi neuromorphic processor,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware An efficient spiking neural network for recognizing gestures with a dvs camera on the loihi neuromorphic processor,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.748631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8a24a15c-e2b9-453d-bb25-c020c22a9a06 · outbound
This paper cites In-hardware learning of multilayer spiking neural networks on a neuromorphic processor,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware In-hardware learning of multilayer spiking neural networks on a neuromorphic processor,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.737435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 92cb5267-a43b-4935-ac14-22bc10881305 · outbound
This paper cites The backpropagation algorithm implemented on spiking neuromorphic hard- ware,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware The backpropagation algorithm implemented on spiking neuromorphic hard- ware,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.725532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation af1654db-b895-4fe5-80d2-eb0a7cdbab1e · outbound
This paper cites A 28-nm convolutional neuromor- phic processor enabling online learning with spike-based retinas,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware A 28-nm convolutional neuromor- phic processor enabling online learning with spike-based retinas,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.714374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f1ce7758-53d0-43ef-ad16-53b2aaae76da · outbound
This paper cites Fast and energy-efficient neuromorphic deep learning with first-spike times,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Fast and energy-efficient neuromorphic deep learning with first-spike times,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.702865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 72bfdeef-dbd6-4e70-a511-0ca3e925a9bd · outbound
This paper cites hxtorch. snn: Machine-learning-inspired spiking neural network modeling on brainscales-2,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware hxtorch. snn: Machine-learning-inspired spiking neural network modeling on brainscales-2,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.690477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 695a4252-7489-4703-8c1d-feda0b1a0c20 · outbound
This paper cites Efficient algorithms for accelerating spiking neural networks on mac array of spinnaker 2,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Efficient algorithms for accelerating spiking neural networks on mac array of spinnaker 2,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.678528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 75192cbc-dcef-48b7-8032-c16ad44df07b · outbound
This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Quantization and training of neural networks for efficient integer-arithmetic-only inference,
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:45:10.476966Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca0cbfa4-2ca7-4c39-ae39-e6b1de344d03 · outbound
This paper cites 1.1 computing’s energy problem (and what we can do about it),.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware 1.1 computing’s energy problem (and what we can do about it),
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.659125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a8c930cd-c0de-40e2-bec6-c373e5d724c4 · outbound
This paper cites Spikeconverter: An efficient conversion framework zipping the gap between artificial neural networks and spiking neural networks,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Spikeconverter: An efficient conversion framework zipping the gap between artificial neural networks and spiking neural networks,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.647772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation eb6ea24d-f4fd-4ae3-99ab-6e0162b96b07 · outbound
This paper cites Pytorch: An imperative style, high- performance deep learning library,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Pytorch: An imperative style, high- performance deep learning library,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.635635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ea1b46a4-b056-4561-8b8e-f096232a29d0 · outbound
This paper cites Learning multiple layers of features from tiny images,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Learning multiple layers of features from tiny images,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.622558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4609f06c-702d-4516-8df3-e6d26bc47d2b · outbound
This paper cites Imagenet: A large-scale hierarchical image database,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Imagenet: A large-scale hierarchical image database,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.609928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7e9368d0-081b-4aa6-8b02-e614105694f3 · outbound
This paper cites The pascal visual object classes homepage,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware The pascal visual object classes homepage,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.598487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5ad234fc-748b-49bd-a480-4097ac67a214 · outbound
This paper cites You only look once: Unified, real-time object detection,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware You only look once: Unified, real-time object detection,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.586915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1ea1ddc6-0852-4d30-8bb1-09cc970bfdf9 · outbound
This paper cites Constructing deep spiking neural networks from artificial neural networks with knowledge distillation,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Constructing deep spiking neural networks from artificial neural networks with knowledge distillation,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:45:10.575061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e3cab071-dd9d-4b60-9b40-7b5db1d1346c · outbound
This paper cites Incorporating learnable membrane time constant to enhance learning of spiking neural networks,.
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Incorporating learnable membrane time constant to enhance learning of spiking neural networks,
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:45:10.510815Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.