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Paper Citation Record · LEDGER

Minimal Neuron Circuits -- Part I: Resonators

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2506.02341.

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

pith.paper-citation-record.v1
2506.02341 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:30:34.020620Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

35 of 35 outbound references displayed

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  • verified fuzzy2
  • unresolved14
  • parse uncertain0
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External citation measurements

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Outbound references

Observation 78af7896-4a52-471d-8a96-6e5c3e1d0e6c · outbound

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

Minimal Neuron Circuits -- Part I: Resonators Networks of spiking neurons: The third generation of neural network models,

Reference 1

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Observation 4276ee8f-a41b-4e9d-8283-9deb39a6d544 · outbound

This paper cites Spiking neural networks, an introduction,.

Minimal Neuron Circuits -- Part I: Resonators Spiking neural networks, an introduction,

Reference 2

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Observation 9395c2c5-7d64-4a13-98cb-cae3a1de4af2 · outbound

This paper cites A quantitative description of membrane current and its application to conduction and excitation in nerve,.

Minimal Neuron Circuits -- Part I: Resonators A quantitative description of membrane current and its application to conduction and excitation in nerve,

Reference 3

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source=pdf_text observed=2026-08-07T11:30:32.092096Z digest=sha256:34fcfd8fa807760ab1c45bd844e74bbf5a1d89dfaf677408e6c861633be39083

Observation 16bd714e-e2cd-4f7f-b345-b0597c769504 · outbound

This paper cites Lapicque’s introduction of the integrate- and-fire model neuron (1907),.

Minimal Neuron Circuits -- Part I: Resonators Lapicque’s introduction of the integrate- and-fire model neuron (1907),

Reference 4

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source=pdf_text observed=2026-08-07T11:30:32.175854Z digest=sha256:231b2cbe2fc514d0a3e0190ad82a6097ce7d9f8605243aed62f801e6550120fd

Observation 001c5646-53ee-4967-9912-72d6be5f5b98 · outbound

This paper cites A Review of spiking neuromorphic hardware communication systems,.

Minimal Neuron Circuits -- Part I: Resonators A Review of spiking neuromorphic hardware communication systems,

Reference 5

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source=pdf_text observed=2026-08-07T11:30:32.280836Z digest=sha256:960feb27a2c20f9a2d00c0b062e25fde24837e36c39a485cfd79cb0fb717a89d

Observation 122b3c7e-c9c2-4600-a2ff-4673da3f57f2 · outbound

This paper cites Perspective: A review on memristive hardware for neuromorphic computation,.

Minimal Neuron Circuits -- Part I: Resonators Perspective: A review on memristive hardware for neuromorphic computation,

Reference 6

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doi, observed 2026-08-07T11:30:34.185861Z

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Observation ee6d96f2-dfb4-47e2-8d5a-a0131ea15935 · outbound

This paper cites Design of Time -Encoded Spiking Neural Networks in 7 -nm CMOS Technology,.

Minimal Neuron Circuits -- Part I: Resonators Design of Time -Encoded Spiking Neural Networks in 7 -nm CMOS Technology,

Reference 7

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source=pdf_text observed=2026-08-07T11:30:32.467232Z digest=sha256:fd981e2f266781517815cfc0334dcd31aacfc709e4c64fba09b5b1413afc31f2

Observation da05b847-6f5f-4123-b626-0b8165d049f0 · outbound

This paper cites Neurogrid: A mixed -analog- digital multichip system for large -scale neural simulations,.

Minimal Neuron Circuits -- Part I: Resonators Neurogrid: A mixed -analog- digital multichip system for large -scale neural simulations,

Reference 8

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Observation d043a3d2-3726-47bf-987e-ef43e88156d8 · outbound

This paper cites Spiking Neural Networks Hardware Implementations and Challenges,.

Minimal Neuron Circuits -- Part I: Resonators Spiking Neural Networks Hardware Implementations and Challenges,

Reference 9

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source=pdf_text observed=2026-08-07T11:30:32.666779Z digest=sha256:d73ed19d37c08ef2bbbeb1ab6d8cbbf737a3ea6a40fc56636e0b001df7e62953

Observation a8d72823-4706-4259-bfdf-3ee4068840bd · outbound

This paper cites Resource-Aware Pareto-Optimal Automated Machine Learning Platform.

Minimal Neuron Circuits -- Part I: Resonators Resource-Aware Pareto-Optimal Automated Machine Learning Platform

Reference 10

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source=pdf_text observed=2026-08-07T11:30:32.794532Z digest=sha256:7743f3740824788c4a3b83f79ff31b6783231dacaa0928b71822cd5e8e947a74

Observation abea467a-76d7-4420-8290-3dab96e1e3bf · outbound

This paper cites Emerging Memristive Artificial Synapses and Neurons for Energy -Efficient Neuromorphic Computing,.

Minimal Neuron Circuits -- Part I: Resonators Emerging Memristive Artificial Synapses and Neurons for Energy -Efficient Neuromorphic Computing,

Reference 11

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Observation b12a5410-b5f6-4667-9ae9-b72b4d43e190 · outbound

This paper cites Fully memristive neural networks for pattern classification with unsupervised learning,.

Minimal Neuron Circuits -- Part I: Resonators Fully memristive neural networks for pattern classification with unsupervised learning,

Reference 12

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Observation e9682bae-a96f-4815-82e1-9a5be0c72176 · outbound

This paper cites Various Threshold Switching Devices for Integrate and Fire Neuron Applications,.

Minimal Neuron Circuits -- Part I: Resonators Various Threshold Switching Devices for Integrate and Fire Neuron Applications,

Reference 13

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source=pdf_text observed=2026-08-07T11:30:33.098443Z digest=sha256:8cdee07b71c2cdf392c9026de411a3d0edd0d6115a6b5ce5101061863afd449f

Observation 7a504049-420d-4463-b9c6-185df3ff7dc3 · outbound

This paper cites An Artificial Neuron Based on a Threshold Switching Memristor,.

Minimal Neuron Circuits -- Part I: Resonators An Artificial Neuron Based on a Threshold Switching Memristor,

Reference 14

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Observation 5f182636-d10f-45eb-b94a-59af4c8294c0 · outbound

This paper cites Low-Power Artificial Neurons Based on Ag/TiN/HfAlOx/Pt Threshold Switching Memristor for Neuromorphic Computing,.

Minimal Neuron Circuits -- Part I: Resonators Low-Power Artificial Neurons Based on Ag/TiN/HfAlOx/Pt Threshold Switching Memristor for Neuromorphic Computing,

Reference 15

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Observation ed38dfcf-3038-49e5-9a7b-eaf22ac8cf7d · outbound

This paper cites A scalable neuristor built with Mott memristors,.

Minimal Neuron Circuits -- Part I: Resonators A scalable neuristor built with Mott memristors,

Reference 16

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Observation 56303059-d46e-4395-bbd4-31d46f2f9047 · outbound

This paper cites Biological plausibility and stochasticity in scalable VO2 active memristor neurons,.

Minimal Neuron Circuits -- Part I: Resonators Biological plausibility and stochasticity in scalable VO2 active memristor neurons,

Reference 17

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Observation 35c16895-b398-47f4-8c40-e880b66fca51 · outbound

This paper cites Mott Memristors and Neuronal Ion Channels: A Qualitative Analysis,.

Minimal Neuron Circuits -- Part I: Resonators Mott Memristors and Neuronal Ion Channels: A Qualitative Analysis,

Reference 18

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Observation f940737b-1ee9-4406-a9eb-38646ad2a50d · outbound

This paper cites Minimal Neuron Circuits —Part II: Integrators,.

Minimal Neuron Circuits -- Part I: Resonators Minimal Neuron Circuits —Part II: Integrators,

Reference 19

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Observation c813be42-3f4e-483e-8eb5-f7d6755a35d1 · outbound

This paper cites an unresolved cited work.

Minimal Neuron Circuits -- Part I: Resonators Unresolved cited work

Reference 20

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 91657c25-bafb-4cba-ad29-1781b629b0a0 · outbound

This paper cites [Analysis of the equations of excitable membranes. I. Reduction of the Hodgkins-Huxley equations to a 2d order system].,.

Minimal Neuron Circuits -- Part I: Resonators [Analysis of the equations of excitable membranes. I. Reduction of the Hodgkins-Huxley equations to a 2d order system].,

Reference 21

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Observation eff158d3-9a71-4b9f-aca6-7ab85b47ff52 · outbound

This paper cites Bipolar —JFET— MOSFET Negative Resistance Devices,.

Minimal Neuron Circuits -- Part I: Resonators Bipolar —JFET— MOSFET Negative Resistance Devices,

Reference 22

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Observation e6932de0-eb4f-4cb9-83a9-68d382d3150f · outbound

This paper cites Unipolar resistive switching of ZnO -single-wire memristors,.

Minimal Neuron Circuits -- Part I: Resonators Unipolar resistive switching of ZnO -single-wire memristors,

Reference 23

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Observation 7be10069-ceae-41c2-874a-3d6b9d3d96b0 · outbound

This paper cites Resistive switching characteristics and mechanisms in silicon oxide memory devices,.

Minimal Neuron Circuits -- Part I: Resonators Resistive switching characteristics and mechanisms in silicon oxide memory devices,

Reference 24

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cebc4193-5d29-463b-85b2-fdb3bb54b724 · outbound

This paper cites In situ imaging of the conducting filament in a silicon oxide 11 resistive switch,.

Minimal Neuron Circuits -- Part I: Resonators In situ imaging of the conducting filament in a silicon oxide 11 resistive switch,

Reference 25

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Observation e106493a-4579-49de-9880-94c351336103 · outbound

This paper cites Čerenkov phonon radiation and phonon structure in electron emission, electroluminescence, and current -voltage characteristics of electroformed Al-Al2O3-Ag diodes,.

Minimal Neuron Circuits -- Part I: Resonators Čerenkov phonon radiation and phonon structure in electron emission, electroluminescence, and current -voltage characteristics of electroformed Al-Al2O3-Ag diodes,

Reference 26

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Observation b46e3314-79df-4171-b255-384606914715 · outbound

This paper cites A compact SPICE model of unipolar memristive devices,.

Minimal Neuron Circuits -- Part I: Resonators A compact SPICE model of unipolar memristive devices,

Reference 27

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Observation cec58a5c-5029-4770-abfa-d480e8cb71af · outbound

This paper cites A bio -physically inspired silicon neuron,.

Minimal Neuron Circuits -- Part I: Resonators A bio -physically inspired silicon neuron,

Reference 28

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Observation 5e25da35-8716-4ab1-bf39-a32ce15d40da · outbound

This paper cites A 4 -fJ/spike artificial neuron in 65 nm CMOS technology,.

Minimal Neuron Circuits -- Part I: Resonators A 4 -fJ/spike artificial neuron in 65 nm CMOS technology,

Reference 29

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source=pdf_text observed=2026-08-07T11:30:33.996396Z digest=sha256:dd39c3c1c62975c8b0403f1a0fe6688e9149e8cf698e07d97d6c839db8928ab9

Observation 73b9b5b6-6de3-4614-81b9-d55c08b6bede · outbound

This paper cites Modeling and Simulation of Insulated -Gate Field -Effect Transistor Switching Circuits,.

Minimal Neuron Circuits -- Part I: Resonators Modeling and Simulation of Insulated -Gate Field -Effect Transistor Switching Circuits,

Reference 30

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Observation c3a4158b-7802-4633-a2a7-280373714c36 · outbound

This paper cites Compact silicon neuron circuit with spiking and bursting behaviour,.

Minimal Neuron Circuits -- Part I: Resonators Compact silicon neuron circuit with spiking and bursting behaviour,

Reference 31

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 274f2a8c-68aa-4fef-968a-f159c5c4f118 · outbound

This paper cites Hodgkin -Huxley Neuron and FPAA Dynamics,.

Minimal Neuron Circuits -- Part I: Resonators Hodgkin -Huxley Neuron and FPAA Dynamics,

Reference 32

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:30:34.008411Z digest=sha256:d55bf7551bacaf3a10e3e8aed654d5d599c0e9e55e9bdc28a09175feedb6a9ea

Observation 1a55160d-5d08-4354-8ddc-a20ddab26cf1 · outbound

This paper cites Hardware spiking neurons design: Analog or digital?,.

Minimal Neuron Circuits -- Part I: Resonators Hardware spiking neurons design: Analog or digital?,

Reference 33

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9564eac3-be00-47cf-850e-f72b063f8d8e · outbound

This paper cites Memory Enhanced Global-Local Aggregation for Video Object Detection.

Minimal Neuron Circuits -- Part I: Resonators Memory Enhanced Global-Local Aggregation for Video Object Detection

Reference 34

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source=pdf_text observed=2026-08-07T11:30:34.016448Z digest=sha256:58b50b4d14e748684294d072bef66bc64ba2bc82cb5835c4911b36ef359bea39

Observation 20ba8d79-c3f1-43d2-9b19-10245a84c5b7 · outbound

This paper cites A 0.3 -V Conductance-Based Silicon Neuron in 0.18 μm CMOS Process,.

Minimal Neuron Circuits -- Part I: Resonators A 0.3 -V Conductance-Based Silicon Neuron in 0.18 μm CMOS Process,

Reference 35

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source=pdf_text observed=2026-08-07T11:30:34.020620Z digest=sha256:72d3b56af5f7dde159d2b2b451b9089b05aa2395681a8de0703dbfb0d352b242

Pith citing papers

No inbound Pith citation observations are available.