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Paper Citation Record · LEDGER

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware

As of 17 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:1908.08024.

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

pith.paper-citation-record.v1
1908.08024 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:33:57.276865Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f4ab455-4a53-4ae7-aea3-cb562157b64f · outbound

This paper cites Networks of spiking neurons: the third generation of neural network models,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware Networks of spiking neurons: the third generation of neural network models,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T13:33:57.209738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation da0a590d-4468-4017-bcc3-a154d68f5118 · outbound

This paper cites TrueNorth: Design and tool flow of a 65 mw 1 million neuron programmable neurosynaptic chip,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware TrueNorth: Design and tool flow of a 65 mw 1 million neuron programmable neurosynaptic chip,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:33:57.507813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:33:57.214194Z digest=sha256:f9061b7c8633108149fb5e49e4aceea24be4290d8d3abb6c06a534b0b8c55b05

Observation e6dfac71-127f-445c-a968-e7b0e3069904 · outbound

This paper cites Neuromorphic architectures for spiking deep neural networks,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware Neuromorphic architectures for spiking deep neural networks,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:33:57.496191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 540b3d95-cb04-48e3-86b7-113f32f44ca9 · outbound

This paper cites SpiNNaker: mapping neural networks onto a massively-parallel chip multiprocessor,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware SpiNNaker: mapping neural networks onto a massively-parallel chip multiprocessor,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:33:57.484740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:33:57.222271Z digest=sha256:05cf7eecab262dee7e4f892c95c39060b49d969dbd69f5d807cebb01c6c3157b

Observation d4a62f0d-3365-4123-abbc-6f3ac5aa6c1c · outbound

This paper cites NEUTRAMS: Neural network transformation and co-design under neuromorphic hardware constraints,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware NEUTRAMS: Neural network transformation and co-design under neuromorphic hardware constraints,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T13:33:57.226149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:33:57.226149Z digest=sha256:30e5406bdfe197e26884ed1e8ff8977dce5a2d0e603fd703313f042e86f500da

Observation b4b6f276-d461-4703-8234-cd0f4322c9f9 · outbound

This paper cites Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:33:57.465379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:33:57.230242Z digest=sha256:bf38efb9f20698be1ac9bb01e5682a578dea9ffe15dcd6ab1827940bdb0df176

Observation b7c0ee2b-5386-43ff-87ab-31ab3671c8dd · outbound

This paper cites CA VIAR: A 45k neuron, 5m synapse, 12g connects/s aer hardware sensory–processing– learning–actuating system for high-speed visual object recognition and tracking,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware CA VIAR: A 45k neuron, 5m synapse, 12g connects/s aer hardware sensory–processing– learning–actuating system for high-speed visual object recognition and tracking,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:33:57.453874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:33:57.234600Z digest=sha256:c659235ad1509aa6e73df365184fd59e6d3e2ea739291ced0c5572f158afaa69

Observation 8281e8e0-7e73-473d-a3fa-cdde8e04c8c0 · outbound

This paper cites A hierachical configuration system for a massively parallel neural hardware platform,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware A hierachical configuration system for a massively parallel neural hardware platform,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:33:57.441862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:33:57.237927Z digest=sha256:3bcf38a852a17b7b5c2df4f5d59132b728db9cef0c894ae2587dfe99eb05c969

Observation d284cfb1-a5e9-4d1e-bac8-7d88f15bbf0d · outbound

This paper cites Scalable energy-efficient, low-latency implementations of trained spiking deep belief networks on spinnaker,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware Scalable energy-efficient, low-latency implementations of trained spiking deep belief networks on spinnaker,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:33:57.429793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ed687964-9934-48a5-baf5-2c157c87a56d · outbound

This paper cites ConvNets experiments on SpiNNaker,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware ConvNets experiments on SpiNNaker,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:33:57.417608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 42060b30-e5c7-448f-9fba-61fd3c7996d7 · outbound

This paper cites Real-time computing without stable states: A new framework for neural computation based on perturbations,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware Real-time computing without stable states: A new framework for neural computation based on perturbations,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T13:33:57.249159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:33:57.249159Z digest=sha256:b18fb48db5ba2e6ff8f6cf0e21124153a2efb60504a0a4893e6758176585bb59

Observation b26ad189-af09-4c34-9001-6ad4da23bd7c · outbound

This paper cites Hierarchical temporal memory including HTM cortical learning algorithms,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware Hierarchical temporal memory including HTM cortical learning algorithms,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:33:57.397727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:33:57.252994Z digest=sha256:efa73ac6b18ab28a8d3b6207b77a0bc7760366247c045a36206f669da90523a0

Observation a390d331-0770-4d55-8834-c411cf0fd886 · outbound

This paper cites A new optimizer using particle swarm theory,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware A new optimizer using particle swarm theory,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:33:57.386477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation fcc5f012-2f17-49ab-993b-83bcfb14ddf1 · outbound

This paper cites CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:33:57.374621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:33:57.260907Z digest=sha256:3b6a22c8146e999847cbc51a6404bbdd065517dbd309825252170201c7c6c2b1

Observation 6fed26f5-2fa0-4eb4-baeb-694c40026084 · outbound

This paper cites Noxim: An open, extensible and cycle-accurate network on chip simulator,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware Noxim: An open, extensible and cycle-accurate network on chip simulator,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:33:57.362144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:33:57.264510Z digest=sha256:e8700b38bb648d345faf900f538f36f7b0eb866ec73f437b0652338ea2ab0253

Observation a893fd77-f511-4e22-a4d1-fe518b2aea64 · outbound

This paper cites Communicating neuronal ensembles between neuromorphic chips,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware Communicating neuronal ensembles between neuromorphic chips,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:33:57.349017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation be26ba51-f966-4a22-912d-3485116b5ac4 · outbound

This paper cites Unsupervised learning of digit recognition using spike-timing-dependent plasticity,.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware Unsupervised learning of digit recognition using spike-timing-dependent plasticity,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:33:57.336052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1b53d5bb-086c-4e56-b28d-9b4a02660166 · outbound

This paper cites Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout.

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:33:57.322370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.