Paper Citation Record · LEDGER

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action

As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2506.09599.

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

pith.paper-citation-record.v1
2506.09599 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:49:34.972180Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

verified exact5
verified fuzzy17
unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a1f4b646-aae2-47f4-9855-efc0cadb2583 · outbound

This paper cites NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:49:33.668843Z

Source-reported events for the cited work

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Observation fffaf499-c04e-45c3-9a4c-a44ade8bee1d · outbound

This paper cites An analytical estimation of spiking neural networks energy efficiency,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action An analytical estimation of spiking neural networks energy efficiency,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.653221Z

Source-reported events for the cited work

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Observation 34697f06-228c-4f09-a453-e05fbcb7a108 · outbound

This paper cites Benchmarking of hardware-efficient real-time neural decoding in brain–computer interfaces,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Benchmarking of hardware-efficient real-time neural decoding in brain–computer interfaces,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.644696Z

Source-reported events for the cited work

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Observation 37d1f1d9-b9fd-44be-b675-152efda42645 · outbound

This paper cites an unresolved cited work.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:49:35.635320Z

Source-reported events for the cited work

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Observation 5dbe9b41-1c8f-4fa5-a628-6a7e24f2370f · outbound

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

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Networks of spiking neurons: The third generation of neural network models,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.626242Z

Source-reported events for the cited work

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Observation 1c1a4b30-b2b3-4884-b00a-f216536a5ca0 · outbound

This paper cites Lapicque’s 1907 paper: from frogs to integrate-and-fire,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Lapicque’s 1907 paper: from frogs to integrate-and-fire,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.617554Z

Source-reported events for the cited work

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Observation a6047040-a637-4576-be96-3b27b9f8d33f · outbound

This paper cites Opportunities for neuromorphic computing algorithms and applications,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Opportunities for neuromorphic computing algorithms and applications,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:49:34.297946Z

Source-reported events for the cited work

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Observation 304e8636-56c9-4220-9ccb-a65ffaf8c417 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:49:34.408624Z

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Observation dc3faa62-2945-4436-82ec-c2b1e5f62f74 · outbound

This paper cites Training spiking neural networks using lessons from deep learning,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Training spiking neural networks using lessons from deep learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.608259Z

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 33b71452-45b1-4584-89e8-30136c87c3e9 · outbound

This paper cites Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:49:34.657249Z

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Unavailable: canonical work link unavailable.

Observation 77f4db5b-dc58-418e-ac1f-dadd91be3150 · outbound

This paper cites Effective and efficient computation with multiple-timescale spiking recurrent neural networks,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Effective and efficient computation with multiple-timescale spiking recurrent neural networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:49:34.767282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98729574-b7aa-433a-a68b-645857741b1c · outbound

This paper cites The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:49:34.872410Z

Source-reported events for the cited work

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Observation cc7f2f50-e09f-4ee5-b4b3-98a45ebab3d5 · outbound

This paper cites Loihi: A neuromorphic manycore processor with on-chip learning,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Loihi: A neuromorphic manycore processor with on-chip learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.599733Z

Source-reported events for the cited work

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Observation e786b287-8891-49da-baa6-e0c0e8e3cff6 · outbound

This paper cites Fast and energy-efficient neuromorphic deep learning with first-spike times,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Fast and energy-efficient neuromorphic deep learning with first-spike times,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.590709Z

Source-reported events for the cited work

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Observation 80cc7e53-2a86-4ae8-b156-1e9a00f68c41 · outbound

This paper cites Rapl in action: Experiences in using rapl for power measurements,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Rapl in action: Experiences in using rapl for power measurements,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:49:34.917453Z

Source-reported events for the cited work

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Observation 2078e14f-7836-43c1-84cd-69b97de1216b · outbound

This paper cites Mlperf inference benchmark,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Mlperf inference benchmark,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.581596Z

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 1f6299f5-af0d-4813-9bdb-120ec8a6bb73 · outbound

This paper cites Read-disturb detection methodology for rram-based computation-in-memory architecture,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Read-disturb detection methodology for rram-based computation-in-memory architecture,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.573187Z

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 016d5a46-ee08-4e16-88e2-fe914c720fbc · outbound

This paper cites NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:49:35.411566Z

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 820a85e6-9bd8-4a4a-999e-a76e8d69e155 · outbound

This paper cites Converting static image datasets to spiking neuromorphic datasets using saccades,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Converting static image datasets to spiking neuromorphic datasets using saccades,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.564286Z

Source-reported events for the cited work

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Observation de4e9122-2b4c-447c-a2e2-45fda39ab91f · outbound

This paper cites Benchmarking neuromorphic hardware and its energy expenditure,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Benchmarking neuromorphic hardware and its energy expenditure,

Reference 20

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T04:49:35.330248Z

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 e5425569-38ed-4d04-8ea6-ea05d8c5851c · outbound

This paper cites Neuromorphic engineering needs closed-loop benchmarks,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Neuromorphic engineering needs closed-loop benchmarks,

Reference 21

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T04:49:35.265391Z

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 fe766582-aae3-47a4-8273-bc9dd04804f5 · outbound

This paper cites A Bibliometric Review of Neuromorphic Computing and Spiking Neural Networks.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action A Bibliometric Review of Neuromorphic Computing and Spiking Neural Networks

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:49:35.204235Z

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 18e8eed1-dfca-4eef-8eda-a2189412fae9 · outbound

This paper cites Actionable software metrics: An industrial perspective,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Actionable software metrics: An industrial perspective,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:49:34.942481Z

Source-reported events for the cited work

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Observation 5f8bb368-bf93-4938-9c49-831760914342 · outbound

This paper cites Zero-shot temporal resolution domain adaptation for spik- ing neural networks,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Zero-shot temporal resolution domain adaptation for spik- ing neural networks,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:49:34.945264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a248f95-b5bd-4b09-b4aa-b1660fe6c6fd · outbound

This paper cites Benchmarking the performance of neuromorphic and spiking neural network simulators,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Benchmarking the performance of neuromorphic and spiking neural network simulators,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.555370Z

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 7334467d-aa77-4c51-b92f-fb48506de059 · outbound

This paper cites Neurobench: DCASE 2020 Acoustic Scene Classification benchmark on XyloAudio 2.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Neurobench: DCASE 2020 Acoustic Scene Classification benchmark on XyloAudio 2

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:49:35.036276Z

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 b320a84e-72ce-4c69-8ac0-01eeab5a903b · outbound

This paper cites Epoc: A 28-nm 5.3 pj/sop event-driven parallel neuromorphic hardware with neuromodulation-based online learning,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Epoc: A 28-nm 5.3 pj/sop event-driven parallel neuromorphic hardware with neuromodulation-based online learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.544466Z

Source-reported events for the cited work

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Observation 64c7fed8-daeb-4f79-927d-e07fe2dd7c33 · outbound

This paper cites Closed-loop neural prostheses with on-chip intelligence: A review and a low- latency machine learning model for brain state detection,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Closed-loop neural prostheses with on-chip intelligence: A review and a low- latency machine learning model for brain state detection,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.535295Z

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 42ca8593-3e24-40e0-8b2c-e318d7c33ad2 · outbound

This paper cites A hardware-efficient on-implant spike compression processor based on vq-dae for brain-implantable microsystems,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action A hardware-efficient on-implant spike compression processor based on vq-dae for brain-implantable microsystems,

Reference 29

Resolution: verified exact; doi, observed 2026-08-07T04:49:35.008895Z

Source-reported events for the cited work

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Observation 527d2c4b-04a3-407e-b645-4db54c4ea8f9 · outbound

This paper cites Trends in ai inference energy consumption: Beyond the performance-vs-parameter laws of deep learning,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Trends in ai inference energy consumption: Beyond the performance-vs-parameter laws of deep learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.526118Z

Source-reported events for the cited work

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Observation 9116192b-6183-43d9-8ea9-9373ebedf5be · outbound

This paper cites Dissecting flops along input dimensions for greenai cost estimations,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Dissecting flops along input dimensions for greenai cost estimations,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.516934Z

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 9090d75d-bcbf-4112-a2b3-492bf8e77475 · outbound

This paper cites Seizure- cluster-inception cnn (scicnn): A patient-independent epilepsy tracking soc with 0-shot-retraining,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Seizure- cluster-inception cnn (scicnn): A patient-independent epilepsy tracking soc with 0-shot-retraining,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.506712Z

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 123e76f3-1960-4beb-bdb7-d16bb16b7af9 · outbound

This paper cites Using the greenup, powerup, and speedup metrics to evaluate software energy efficiency,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Using the greenup, powerup, and speedup metrics to evaluate software energy efficiency,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:49:35.497264Z

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 e447185b-d88b-45e0-a53e-09a0a807437d · outbound

This paper cites A framework for measuring the training efficiency of a neural architecture,.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action A framework for measuring the training efficiency of a neural architecture,

Reference 34

Resolution: verified exact; doi, observed 2026-08-07T04:49:34.999193Z

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 ad189eb8-302a-40fc-be2f-761c0316f34a · outbound

This paper cites Available: https://www.frontiersin.org/ journals/neuroscience/articles/10.3389/fnins.2015.00437.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action Available: https://www.frontiersin.org/ journals/neuroscience/articles/10.3389/fnins.2015.00437

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-07T04:49:34.931290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.