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Paper Citation Record · LEDGER

The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2103.08392.

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

pith.paper-citation-record.v1
2103.08392 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:59:21.960194Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-25T02:25:15.443819Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 14da4715-fc60-48d0-be0e-b18107437d6c · inbound

Hardware Trends Impacting Floating-Point Computations In Scientific Applications cites this paper.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-12T17:59:21.960194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:59:21.960194Z digest=sha256:50d508bfffbebc6f871cce03a427fc955c9bc961bdcc7977608aa7ce39efcd8c

Observation 47f56d45-9762-4e24-aaf0-48f6179934de · inbound

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net cites this paper.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T15:11:30.816699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:11:30.816699Z digest=sha256:fd53bcec0b33377e27db5ceba7cea59fa8fb51222928c68fd5f9608d832eac88

Observation 4dfe411f-fe37-4738-8513-e433dd2437a1 · inbound

High-Speed Time Series Prediction with a GHz-rate Photonic Spiking Neural Network built with a single VCSEL cites this paper.

High-Speed Time Series Prediction with a GHz-rate Photonic Spiking Neural Network built with a single VCSEL The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T17:18:27.824539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:18:27.824539Z digest=sha256:df62d942e1a1d404af15942769bb00e309526f66644723ca2f7c09faafd05361

Observation 5d5d50d2-0e4d-44c0-a88d-a659fd21ff73 · inbound

Contemporary implementations of spiking bio-inspired neural networks cites this paper.

Contemporary implementations of spiking bio-inspired neural networks The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:16.341111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:16.341111Z digest=sha256:869e2a10ceddd9113eefa7adf5fbf20fb74bb52cf25474852d4d37d3f597fa2c

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

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action cites this paper.

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:49:34.872410Z digest=sha256:2eb7447ddcce595254670ed96a125d5e7e557bcf4f9e67171fce9489aab5d7bc

Observation edd98f7f-43a3-4c88-8b31-ad11da15116e · inbound

YANA: Bridging the Neuromorphic Simulation-to-Hardware Gap cites this paper.

YANA: Bridging the Neuromorphic Simulation-to-Hardware Gap The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:13:05.560197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T18:12:30.866912Z digest=sha256:7d4acca625765bb3fea8c86ce1c2c4d8c03102af3aa8d0a2feb443eeda0476a4

Observation 3cdb1daa-9e9e-4fc1-8801-45fe04f57947 · inbound

Memory Wall is not gone: A Critical Outlook on Memory Architecture in Digital Neuromorphic Computing cites this paper.

Memory Wall is not gone: A Critical Outlook on Memory Architecture in Digital Neuromorphic Computing The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:40:59.447303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T17:04:48.651173Z digest=sha256:c59771a57c7ab919539f9ac6b43305dead887ffabb76a648444fce69014bf9a1

Observation d9a56481-7557-4d73-b570-a01836f3fbf2 · inbound

Full Feature Spiking Neural Network Simulation on Micro-Controllers for Neuromorphic Applications at the Edge cites this paper.

Full Feature Spiking Neural Network Simulation on Micro-Controllers for Neuromorphic Applications at the Edge The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:10:59.787376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:12:54.029031Z digest=sha256:cd7705a9fa091ee2f1b578b168694c648605544d648723db9266f7f22bb21895

Observation 38cc1a8e-b7b9-4b35-8a61-36019422e35d · inbound

SpikeMLLM: Spike-based Multimodal Large Language Models via Modality-Specific Temporal Scales and Temporal Compression cites this paper.

SpikeMLLM: Spike-based Multimodal Large Language Models via Modality-Specific Temporal Scales and Temporal Compression The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:45:58.758940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:30:53.540267Z digest=sha256:18e452aaff8cc905a5a33a5373eb806d4124c29be0bb14e6c47ad178a89b2868

Observation 5270f787-a8df-42da-bc42-da7450a4a5ef · inbound

EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures cites this paper.

EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:11:26.936651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T12:36:08.608655Z digest=sha256:7e185d9f0080285ed62f1818da05ddf3ab35ae045ba49b61c39ac075bc0d3ef4

Observation 28a3f38b-9746-4740-9f75-a86fd9e1a756 · inbound

UniSpike: Accelerating Spiking Neural Networks on Neuromorphic Systems via Eliminating Address Redundancy cites this paper.

UniSpike: Accelerating Spiking Neural Networks on Neuromorphic Systems via Eliminating Address Redundancy The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-25T02:25:15.447375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T02:21:57.297453Z digest=sha256:b2e0ac8d657d265965748ae9c4f209073faaf70815d228783c9ec924f57d5f7f