Paper Citation Record · LEDGER

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration

As of 21 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2506.11760.

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

pith.paper-citation-record.v1
2506.11760 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:07:49.248441Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

27 of 27 outbound references displayed

verified exact4
verified fuzzy3
unresolved12
parse uncertain0
malformed identifier6
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation edb76ad3-d0dd-4c6e-a7c1-2eba2304d2ea · outbound

This paper cites an unresolved cited work.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration Unresolved cited work

Reference 1

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T04:07:50.384845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 18c7f3d7-5166-4430-abda-6a7c6812c920 · outbound

This paper cites Effi- cient Video and Audio Processing with Loihi 2.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration Effi- cient Video and Audio Processing with Loihi 2

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:07:50.373256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3cc3f532-1478-436f-b13a-2b33df1c2fe3 · outbound

This paper cites Even Faster SNN Simulation with Lazy+Event- driven Plasticity and Shared Atomics.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration Even Faster SNN Simulation with Lazy+Event- driven Plasticity and Shared Atomics

Reference 3

Resolution: malformed identifier; no resolver link, observed 2026-08-07T04:07:49.173438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33e403b6-75a6-4f2d-a92c-45e1a28cadf2 · outbound

This paper cites Efficient GPU training of LSNNs using eProp.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration Efficient GPU training of LSNNs using eProp

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T04:07:50.185970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 736fb39f-9a91-4d39-ac3e-0e4f76e11440 · outbound

This paper cites Fernandez-Hart, James C.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration Fernandez-Hart, James C

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:49.180190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89b45a3f-f541-4751-a56b-0ec1fc0072a8 · outbound

This paper cites Stochastic rounding and reduced-precision fixed-point arithmetic for solving neural ordinary dif- ferential equations.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration Stochastic rounding and reduced-precision fixed-point arithmetic for solving neural ordinary dif- ferential equations

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-07T04:07:50.109533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 113a6a1d-972c-4469-b76f-2af71da84113 · outbound

This paper cites IEEE Micro , 30(1):82–99, 2018.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration IEEE Micro , 30(1):82–99, 2018

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:49.187371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b37f29b5-7477-427c-8eca-63adbbb300b3 · outbound

This paper cites SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:49.190601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fb7a925-71ac-4b49-917c-54ab3b220ca5 · outbound

This paper cites FPGA- based Deep Learning Inference Accelerators: Where Are We Standing? ACM Transactions on Reconfigurable Technology and Systems , 16(4):1–32, December 2023.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration FPGA- based Deep Learning Inference Accelerators: Where Are We Standing? ACM Transactions on Reconfigurable Technology and Systems , 16(4):1–32, December 2023

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:49.193986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62560824-9428-4c88-9811-a70f9fee831f · outbound

This paper cites Moore, Paul J.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration Moore, Paul J

Reference 10

Resolution: malformed identifier; no resolver link, observed 2026-08-07T04:07:49.197505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd3af498-a0f4-45a9-ba53-2c3535b8620d · outbound

This paper cites neuroAIx-Framework: design of future neuroscience simulation systems exhibiting execution of the cortical microcircuit model 20× faster than biological real-time.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration neuroAIx-Framework: design of future neuroscience simulation systems exhibiting execution of the cortical microcircuit model 20× faster than biological real-time

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:49.200989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cf69c4e-0af9-41bf-ae80-18f18bf79cf4 · outbound

This paper cites an unresolved cited work.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:07:50.361614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 47ad5046-e3a7-43f0-b96f-a19e904101c4 · outbound

This paper cites GaBAN: a generic and flexibly programmable vector neuro- processor on FPGA.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration GaBAN: a generic and flexibly programmable vector neuro- processor on FPGA

Reference 13

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T04:07:49.811141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4f6f750e-c34e-4e81-8630-bab2982f306e · outbound

This paper cites SNA V A—A real-time multi-FPGA multi-model spiking neural network simulation architecture.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration SNA V A—A real-time multi-FPGA multi-model spiking neural network simulation architecture

Reference 14

Resolution: verified exact; doi, observed 2026-08-07T04:07:49.304330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8d04d9ad-6dfe-400e-abfd-d1a62f6a083a · outbound

This paper cites The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:49.216869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b5224a1-b2fd-4d51-8d1a-dfbe8726ef3c · outbound

This paper cites Scrambled Lin- ear Pseudorandom Number Generators.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration Scrambled Lin- ear Pseudorandom Number Generators

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:07:50.350437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cb9b9e88-abae-4ead-b652-c76d0e9bc245 · outbound

This paper cites Stochastic Rounding: Algorithms and Hardware Accelerator.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration Stochastic Rounding: Algorithms and Hardware Accelerator

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:49.226281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58770857-01dd-4d7e-a30c-1cd1fddb817e · outbound

This paper cites Long short- term memory and learning-to-learn in networks of spik- ing neurons.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration Long short- term memory and learning-to-learn in networks of spik- ing neurons

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:07:50.337656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 065e1e51-ae2d-46cc-a7c0-cdfaaae9400f · outbound

This paper cites The Art of Computer Programming: Seminumerical Algorithms, Volume 2.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration The Art of Computer Programming: Seminumerical Algorithms, Volume 2

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:49.232376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89e561cb-5a5d-4c24-b890-d5df3f872e18 · outbound

This paper cites Deep Learning With Spiking Neurons: Opportunities and Challenges.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration Deep Learning With Spiking Neurons: Opportunities and Challenges

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:49.235522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef070adb-852a-423a-9122-7349629bee34 · outbound

This paper cites Knight and Thomas Nowotny.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration Knight and Thomas Nowotny

Reference 21

Resolution: verified exact; raw_fallback, observed 2026-08-07T04:07:49.491539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 918f9b68-f757-40af-80da-6bb46cc05b25 · outbound

This paper cites A Long Short-Term Memory for AI Applica- tions in Spike-based Neuromorphic Hardware.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration A Long Short-Term Memory for AI Applica- tions in Spike-based Neuromorphic Hardware

Reference 22

Resolution: verified exact; doi, observed 2026-08-07T04:07:49.282176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e3930973-38cf-453a-89db-df749041abe0 · outbound

This paper cites Event- based backpropagation can compute exact gradients for spiking neural networks.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration Event- based backpropagation can compute exact gradients for spiking neural networks

Reference 23

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T04:07:50.317097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 51cc42db-06a4-47ff-94e6-3a3359420198 · outbound

This paper cites Measuring the gap be- tween FPGAs and ASICs.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration Measuring the gap be- tween FPGAs and ASICs

Reference 24

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T04:07:49.410383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6f857112-f708-4881-8d81-44ee2030098f · outbound

This paper cites ISBN 978-1-4799-0004-6.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration ISBN 978-1-4799-0004-6

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:49.206848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52ab43fd-3dc6-44e1-aaf6-a549d9f2417c · outbound

This paper cites doi: 10.1145/ 3460772.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration doi: 10.1145/ 3460772

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:49.222975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85ff4a26-5682-4b53-9c59-7b60fe5a5b7a · outbound

This paper cites ISBN 9798350344851.

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration ISBN 9798350344851

Reference 2024

Resolution: malformed identifier; no resolver link, observed 2026-08-07T04:07:49.170088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.