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Paper Citation Record · LEDGER

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware

As of 21 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2412.03128.

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

pith.paper-citation-record.v1
2412.03128 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:47:37.554851Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

34 of 34 outbound references displayed

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External citation measurements

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Outbound references

Observation 200612d2-a41a-4112-97f2-621db40803a1 · outbound

This paper cites Extremely scalable spiking neuronal network simulation code: From laptops to exascale computers,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Extremely scalable spiking neuronal network simulation code: From laptops to exascale computers,

Reference 1

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Observation 501987e1-6e31-44b2-973f-5779e4c6267e · outbound

This paper cites Overview of the SpiNNaker system architecture,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Overview of the SpiNNaker system architecture,

Reference 2

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Observation ef1c0095-4d95-43ea-b7bd-6db878b37585 · outbound

This paper cites Spynnaker: A software package for running pynn simulations on spinnaker,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Spynnaker: A software package for running pynn simulations on spinnaker,

Reference 3

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Observation 2dfff2c3-817b-4159-bc52-8f0fb3ada084 · outbound

This paper cites Efficient neuromorphic signal pro- cessing with Loihi 2,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Efficient neuromorphic signal pro- cessing with Loihi 2,

Reference 4

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Observation 0b2da13e-a3e3-44a4-b1ae-f52208ec683d · outbound

This paper cites Large-scale neuromorphic spiking array processors: A quest to mimic the brain,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Large-scale neuromorphic spiking array processors: A quest to mimic the brain,

Reference 5

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Observation 7e51b0aa-3f7c-4f26-bab1-e568eba7c8de · outbound

This paper cites NEST (NEural Simulation Tool),.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware NEST (NEural Simulation Tool),

Reference 6

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Observation a7f07ab8-cc74-45eb-ab91-689e8123190e · outbound

This paper cites Brian 2, an intuitive and efficient neural simulator,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Brian 2, an intuitive and efficient neural simulator,

Reference 7

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Observation 7479751b-f0a4-4bc6-bce6-8e7195ff80af · outbound

This paper cites The impact of studying brain plasticity,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware The impact of studying brain plasticity,

Reference 8

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Observation bc84fe9f-0e0f-4885-bca5-c82b3a03e350 · outbound

This paper cites Models of metaplasticity: A review of concepts,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Models of metaplasticity: A review of concepts,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6bf23b45-0d18-403f-add9-2c6d72f00ff5 · outbound

This paper cites Memory consolidation and im- provement by synaptic tagging and capture in recurrent neural networks,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Memory consolidation and im- provement by synaptic tagging and capture in recurrent neural networks,

Reference 10

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Observation 256b311b-069e-4f57-b127-972b185fadb3 · outbound

This paper cites Evolving interpretable plasticity for spiking networks,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Evolving interpretable plasticity for spiking networks,

Reference 11

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Observation 9fbd2921-2a93-4453-b8e5-0835d4faead0 · outbound

This paper cites Neuromorphic hardware learns to learn,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Neuromorphic hardware learns to learn,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation abdfec2b-c59c-452d-845a-71d299e3742e · outbound

This paper cites Code generation in computational neuroscience: A review of tools and techniques,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Code generation in computational neuroscience: A review of tools and techniques,

Reference 13

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Observation 95e03ad2-e587-4d54-aadc-da77ef6aa157 · outbound

This paper cites GeNN: A code generation framework for accelerated brain simulations,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware GeNN: A code generation framework for accelerated brain simulations,

Reference 14

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Source-reported events for the cited work

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Observation efefc903-3158-408b-b771-5eaecf7c5b00 · outbound

This paper cites Sabne, XLA: Compiling machine learning for peak performance, 2020.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Sabne, XLA: Compiling machine learning for peak performance, 2020

Reference 15

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Observation 686d8e3d-47c4-4c5a-87a9-5c3f78010c9a · outbound

This paper cites Frameworks for SNNs: A review of data science-oriented software and an expansion of SpykeTorch,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Frameworks for SNNs: A review of data science-oriented software and an expansion of SpykeTorch,

Reference 16

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Source-reported events for the cited work

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Observation 06105f1a-4107-445c-ad7a-9b6a11564136 · outbound

This paper cites Structural plasticity on an accel- erated analog neuromorphic hardware system,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Structural plasticity on an accel- erated analog neuromorphic hardware system,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e5360367-684c-4bf0-bd70-44d316f55331 · outbound

This paper cites Versatile emulation of spiking neu- ral networks on an accelerated neuromorphic substrate,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Versatile emulation of spiking neu- ral networks on an accelerated neuromorphic substrate,

Reference 18

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Observation a91dd0e5-c75b-4823-918a-9881fa9203be · outbound

This paper cites Control of criticality and computation in spiking neuromorphic networks with plasticity,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Control of criticality and computation in spiking neuromorphic networks with plasticity,

Reference 19

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4a9c5ef1-ae59-49af-b08e-298732c5f581 · outbound

This paper cites Autocorrelations from emergent bistability in homeostatic spiking neural networks on neu- romorphic hardware,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Autocorrelations from emergent bistability in homeostatic spiking neural networks on neu- romorphic hardware,

Reference 20

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Observation 34a386f7-5066-42c3-ab7e-504fd7e4105f · outbound

This paper cites Demonstrating advantages of neuromorphic computation: A pilot study,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Demonstrating advantages of neuromorphic computation: A pilot study,

Reference 21

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Observation 04490d05-e073-43cb-9958-9a74717e1af9 · outbound

This paper cites A scalable approach to modeling on accelerated neuromorphic hardware,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware A scalable approach to modeling on accelerated neuromorphic hardware,

Reference 22

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Source-reported events for the cited work

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Observation 196fa58b-acc1-4c22-9cb6-8425ee1716b3 · outbound

This paper cites The BrainScaleS-2 accelerated neuro- morphic system with hybrid plasticity,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware The BrainScaleS-2 accelerated neuro- morphic system with hybrid plasticity,

Reference 24

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Observation 22dda0e7-fae0-4a5c-a12d-f97aabf5636a · outbound

This paper cites PowerISA version 2.06 revision b,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware PowerISA version 2.06 revision b,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3171a774-af35-49ae-934f-cb481c90d562 · outbound

This paper cites Demonstrating hybrid learning in a flexible neuromorphic hardware system,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Demonstrating hybrid learning in a flexible neuromorphic hardware system,

Reference 26

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Observation 7364608c-ca78-4605-b6e5-bbb4b027a37d · outbound

This paper cites Friedmann, Omnibus on-chip bus , forked from https: //github.com/five-elephants/omnibus, 2015.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Friedmann, Omnibus on-chip bus , forked from https: //github.com/five-elephants/omnibus, 2015

Reference 27

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 890bc48c-8bec-4946-a7e4-9d8ff346ccce · outbound

This paper cites PyNN: A common interface for neuronal network simulators,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware PyNN: A common interface for neuronal network simulators,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f95988f8-d1bb-440e-bbda-79d8ed8f0cb3 · outbound

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Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Extending BrainScaleS OS for BrainScaleS-2

Reference 29

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Observation fba8d12e-8515-4422-b834-7f478bb813c5 · outbound

This paper cites Vinkelis, Bitsery, https://github.com/fraillt/bitsery, 2020.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Vinkelis, Bitsery, https://github.com/fraillt/bitsery, 2020

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 79b25d50-bad3-4d9c-9b11-e62d388f6a5f · outbound

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Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Dietrich et al., Multi-compartment models with STDP on BrainScaleS-2, 2023

Reference 31

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 72baeea6-77d0-4c7e-a491-4d37dd83bc8f · outbound

This paper cites Atoui et al., Multi-timescale synaptic plasticity on analog neuromorphic hardware , 2024.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Atoui et al., Multi-timescale synaptic plasticity on analog neuromorphic hardware , 2024

Reference 32

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Source-reported events for the cited work

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Observation f4b391da-cdaf-4402-9f74-bb4e2561490f · outbound

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Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware LEMS: A language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2,

Reference 33

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Observation a38d6cf0-1296-469e-9f2b-b9d9c4ff0670 · outbound

This paper cites Jaxsnn: Event-driven gradient esti- mation for analog neuromorphic hardware,.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Jaxsnn: Event-driven gradient esti- mation for analog neuromorphic hardware,

Reference 34

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Observation 0176a9ca-2dad-42ef-a33b-7f347f8bc231 · outbound

This paper cites an unresolved cited work.

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware Unresolved cited work

Reference 2018

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Pith citing papers

No inbound Pith citation observations are available.