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Paper Citation Record · LEDGER

Full Integer Arithmetic Online Training for Spiking Neural Networks

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2509.06636.

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

pith.paper-citation-record.v1
2509.06636 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:25:54.330554Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

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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

23 of 23 outbound references displayed

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  • verified fuzzy2
  • unresolved11
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch4

External citation measurements

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Outbound references

Observation c526a5d5-7f3d-474d-9368-9c3d12c753cb · outbound

This paper cites https://doi.org/10.3390/jlpea11020023, https:// www.mdpi.com/2079-9268/11/2/23, number: 2 Publisher: Multidisciplinary Digi- tal Publishing Institute.

Full Integer Arithmetic Online Training for Spiking Neural Networks https://doi.org/10.3390/jlpea11020023, https:// www.mdpi.com/2079-9268/11/2/23, number: 2 Publisher: Multidisciplinary Digi- tal Publishing Institute

Reference 1

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Observation de417db9-0ba6-4511-b35d-6cedf1ac67fa · outbound

This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.

Full Integer Arithmetic Online Training for Spiking Neural Networks Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 2

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Observation 20edd3fa-a241-4a54-881a-c67643fa1153 · outbound

This paper cites 2023 26th Euromicro Con- ference on Digital System Design (DSD) pp.

Full Integer Arithmetic Online Training for Spiking Neural Networks 2023 26th Euromicro Con- ference on Digital System Design (DSD) pp

Reference 3

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Observation 2f9dffb7-2d23-46dd-9486-9a77dbe6ef53 · outbound

This paper cites Frontiers in Neuro- science12, 331 (May 2018).

Full Integer Arithmetic Online Training for Spiking Neural Networks Frontiers in Neuro- science12, 331 (May 2018)

Reference 4

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Observation e5ff17d1-5593-411c-a39e-818248897a40 · outbound

This paper cites Online Training Through Time for Spiking Neural Networks.

Full Integer Arithmetic Online Training for Spiking Neural Networks Online Training Through Time for Spiking Neural Networks

Reference 5

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local_arxiv, observed 2026-08-04T23:25:55.267803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 49f20456-61a0-4658-a225-bee29dce85cb · outbound

This paper cites Nature Communications11(1), 3625 (Jul 2020).

Full Integer Arithmetic Online Training for Spiking Neural Networks Nature Communications11(1), 3625 (Jul 2020)

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 35a0c0cc-ce21-46e5-a2d6-3d76554e47f4 · outbound

This paper cites an unresolved cited work.

Full Integer Arithmetic Online Training for Spiking Neural Networks Unresolved cited work

Reference 7

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Observation eb396ec9-9271-40b9-90bf-93ac72f8e771 · outbound

This paper cites Is Integer Arithmetic Enough for Deep Learning Training?.

Full Integer Arithmetic Online Training for Spiking Neural Networks Is Integer Arithmetic Enough for Deep Learning Training?

Reference 8

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local_arxiv, observed 2026-08-04T23:25:54.729420Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 23338fb2-6c7e-4e29-935c-53e6eb24f7aa · outbound

This paper cites ArXiv (Jan 2022), https://www.semanticscholar.org/ paper/PocketNN%3A-Integer-only-Training-and-Inference-of-in-Song-Lin/ 81fcadee5f9fc3b57a35df38d4ce3eb9e868b426.

Full Integer Arithmetic Online Training for Spiking Neural Networks ArXiv (Jan 2022), https://www.semanticscholar.org/ paper/PocketNN%3A-Integer-only-Training-and-Inference-of-in-Song-Lin/ 81fcadee5f9fc3b57a35df38d4ce3eb9e868b426

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b8784eed-616d-4339-9890-117a199fe6a5 · outbound

This paper cites arXiv preprint arXiv:2407.11698 (2024) 12 Ismael Gomez and Guangzhi Tang.

Full Integer Arithmetic Online Training for Spiking Neural Networks arXiv preprint arXiv:2407.11698 (2024) 12 Ismael Gomez and Guangzhi Tang

Reference 10

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arxiv_id, observed 2026-08-04T23:25:55.176330Z

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Observation bbdbd6b9-0cde-47b0-abac-402b5bc2e51f · outbound

This paper cites Frontiers in Neuroscience18(Dec 2024).

Full Integer Arithmetic Online Training for Spiking Neural Networks Frontiers in Neuroscience18(Dec 2024)

Reference 11

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arxiv_id, observed 2026-08-04T23:25:55.114220Z

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Observation 606ed102-b7fe-438f-b6a4-1bababc50b8a · outbound

This paper cites Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection.

Full Integer Arithmetic Online Training for Spiking Neural Networks Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection

Reference 12

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Observation b67e3b3b-7b14-46af-b314-d7bf57ad2300 · outbound

This paper cites BioGrad: Biologically Plausible Gradient-Based Learning for Spiking Neural Networks.

Full Integer Arithmetic Online Training for Spiking Neural Networks BioGrad: Biologically Plausible Gradient-Based Learning for Spiking Neural Networks

Reference 13

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Observation 494744fe-3bb0-4764-a5a4-5576a7abd877 · outbound

This paper cites Elife8, e43299 (2019).

Full Integer Arithmetic Online Training for Spiking Neural Networks Elife8, e43299 (2019)

Reference 14

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 741fedb1-3a3b-4d0c-905d-b74ca2633f55 · outbound

This paper cites Distribution Adaptive INT8 Quantization for Training CNNs.

Full Integer Arithmetic Online Training for Spiking Neural Networks Distribution Adaptive INT8 Quantization for Training CNNs

Reference 15

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8afd927f-f47c-4209-a9bb-1d8f818e3e81 · outbound

This paper cites Random feedback weights support learning in deep neural networks.

Full Integer Arithmetic Online Training for Spiking Neural Networks Random feedback weights support learning in deep neural networks

Reference 16

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Observation 18483930-c1fc-4a1d-9560-38218f4d78e6 · outbound

This paper cites Frontiers in Neuroscience18, 1439155 (Jul 2024).

Full Integer Arithmetic Online Training for Spiking Neural Networks Frontiers in Neuroscience18, 1439155 (Jul 2024)

Reference 17

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Observation 38f1cfec-ac0e-4055-92a1-96fd7ddff7d5 · outbound

This paper cites Proceedings of the IEEE86(11), 2278–2324 (Nov 1998).

Full Integer Arithmetic Online Training for Spiking Neural Networks Proceedings of the IEEE86(11), 2278–2324 (Nov 1998)

Reference 18

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Observation 43055011-bd5a-48da-ba90-2c34a0ab3778 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems33(7), 2744–2757 (Jul 2022).

Full Integer Arithmetic Online Training for Spiking Neural Networks IEEE Transactions on Neural Networks and Learning Systems33(7), 2744–2757 (Jul 2022)

Reference 19

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Observation 7f290d2d-e93f-487f-83fd-d45c1f166556 · outbound

This paper cites Scalable Methods for 8-bit Training of Neural Networks.

Full Integer Arithmetic Online Training for Spiking Neural Networks Scalable Methods for 8-bit Training of Neural Networks

Reference 20

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local_arxiv, observed 2026-08-04T23:25:54.485057Z

Source-reported events for the cited work

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This paper cites ShiftAddNet: A Hardware-Inspired Deep Network.

Full Integer Arithmetic Online Training for Spiking Neural Networks ShiftAddNet: A Hardware-Inspired Deep Network

Reference 21

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Observation 8604694f-3035-432c-bb90-d4f26b9a2a24 · outbound

This paper cites 112130359, https://ieeexplore.ieee.org/document/8259423/.

Full Integer Arithmetic Online Training for Spiking Neural Networks 112130359, https://ieeexplore.ieee.org/document/8259423/

Reference 22

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Observation 5345dc6a-4aec-4467-97dc-8c877135575d · outbound

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

Full Integer Arithmetic Online Training for Spiking Neural Networks SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning

Reference 23

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Pith citing papers

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