Pith. sign in

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=sha256:897f9d8c049b1d3342ae1262c53fba4dd6f1b8c0238ae1feff9539d1d4b3dfbd

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:fedfbec6b8d0127f5bf5ed03b385b5f7a4ab11abc6c7470f890195279dc46869

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:d59c4cc42cf4e4c5dc8686b68945e6241f80fbe2b01d4629cdc1841aac2c25f0

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=sha256:76929a27873e3bcb6ff68ac5eeb26e714d1ab8868baf1c38f7f033f165a94ce4

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=sha256:1f468933972025ea03660d3a833fb2e5317f5d7abb4c5bbd5e27196f9f436958

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=sha256:01307067f3bbab4eb0987f4152fdd04421b8f68b090a1a917c25084572783e63

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:b3a9562c9a07de7f655e1d0b7079e438df32c019c27a55cdf618fbdef132a0e9

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:e711bc91450d67760340f0efabe9a289365004ece329d272295577fcd97354f7

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=sha256:07dca738452d4e9f19f94952ff287a795f0f4bbe9b1ccdb840b146aff9795f34

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:c89752b5cd290cd645fcecafe105a708b027f587b7fef0a0ebd38aa6566666be

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=sha256:3136272af48c799c7608b9a0b4570331bb5148e36f2a8b3ee9e3cebdea03c4b2