Paper Citation Record · LEDGER

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2506.13400.

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

pith.paper-citation-record.v1
2506.13400 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:06:37.072825Z

measured 25 of 25 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

25 of 25 outbound references displayed

verified exact0
verified fuzzy23
unresolved1
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 518aff83-6bd1-4fd1-a56a-951bd5dd6b69 · outbound

This paper cites Prevalence and causes of paralysis—united states, 2013,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Prevalence and causes of paralysis—united states, 2013,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.335166Z

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 f37e961d-e22a-4e82-bbe1-c64354afa0c5 · outbound

This paper cites Spinal cord injury.,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Spinal cord injury.,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.326014Z

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 1fbf8a75-7466-48ab-be82-4fc9bc2f0a70 · outbound

This paper cites Brain–machine interfaces: past, present and future,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Brain–machine interfaces: past, present and future,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.317808Z

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 8c0376b8-4080-4579-b179-1ee2dcffaba7 · outbound

This paper cites Brain-machine interfaces: an overview,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Brain-machine interfaces: an overview,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.309050Z

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 cc24ce86-c03a-479c-a243-eaf8ac289b23 · outbound

This paper cites Independent mobility achieved through a wireless brain-machine interface,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Independent mobility achieved through a wireless brain-machine interface,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.299209Z

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 ed52ce57-87c8-4b15-a42c-05bc2cd7ec68 · outbound

This paper cites High performance communication by people with paralysis using an intracortical brain-computer interface,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity High performance communication by people with paralysis using an intracortical brain-computer interface,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.289021Z

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 cbd5f555-e3ad-4a1b-8e29-eb589228afbc · outbound

This paper cites Home use of a percutaneous wireless intracortical brain- computer interface by individuals with tetraplegia,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Home use of a percutaneous wireless intracortical brain- computer interface by individuals with tetraplegia,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.278238Z

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 c2a063a3-f582-409a-9ba6-cd9a8b6b3a0d · outbound

This paper cites an unresolved cited work.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:06:37.268931Z

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 37facbd2-b024-4af9-8f93-2bc58d98d8ed · outbound

This paper cites A brain-machine interface operating with a real-time spiking neural network control algorithm,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity A brain-machine interface operating with a real-time spiking neural network control algorithm,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.259480Z

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 eb1c1e94-ea8f-4219-86d8-a12c0995065c · outbound

This paper cites An energy-efficient spiking neural network for finger velocity decoding for implantable brain- machine interface,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity An energy-efficient spiking neural network for finger velocity decoding for implantable brain- machine interface,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.249591Z

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 5e6bcc7d-19d2-4906-9e11-367509129f2c · outbound

This paper cites The combination of brain-computer interfaces and artificial intelligence: applications and challenges,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity The combination of brain-computer interfaces and artificial intelligence: applications and challenges,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.239988Z

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 7e7568a8-d112-435f-a884-5efd74d7f2b7 · outbound

This paper cites Human motor decoding from neural signals: a review,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Human motor decoding from neural signals: a review,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.231322Z

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 60670162-6e0d-411f-b9d2-c90f86a511e2 · outbound

This paper cites Towards spike-based machine in- telligence with neuromorphic computing,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Towards spike-based machine in- telligence with neuromorphic computing,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.221831Z

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 17fbdd1d-48c7-4d3d-b932-76e9caf8d444 · outbound

This paper cites Grand challenge on neural decoding for motor control of non-human primates,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Grand challenge on neural decoding for motor control of non-human primates,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.210746Z

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 b37878dd-e478-45d4-a3fb-7dd25f061d66 · outbound

This paper cites Non- human primate reaching with multichannel sensorimotor cortex elec- trophysiology,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Non- human primate reaching with multichannel sensorimotor cortex elec- trophysiology,

Reference 15

Resolution: malformed identifier; no resolver link, observed 2026-08-15T20:06:37.040619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a0926f6-a7c4-4403-94f7-4c21da0772f8 · outbound

This paper cites Hybrid spiking neural networks for low-power intra-cortical brain-machine inter- faces,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Hybrid spiking neural networks for low-power intra-cortical brain-machine inter- faces,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.200197Z

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 6100b486-312c-4d4a-846b-c86fb061d47d · outbound

This paper cites Decoding finger velocity from cortical spike trains with recurrent spiking neural networks,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Decoding finger velocity from cortical spike trains with recurrent spiking neural networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.190629Z

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 7383853b-01e5-440b-9c06-d886c909b1f5 · outbound

This paper cites Leveraging recurrent neural networks for predicting motor movements from primate motor cortex neural recordings,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Leveraging recurrent neural networks for predicting motor movements from primate motor cortex neural recordings,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.180549Z

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 6b8f044f-0169-4981-ac24-48fd343465c8 · outbound

This paper cites The neurobench framework for benchmarking neuromorphic computing algorithms and systems,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity The neurobench framework for benchmarking neuromorphic computing algorithms and systems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.170519Z

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 9f468bf4-7c14-4faf-9a18-1b94cc364601 · outbound

This paper cites Optuna: A next-generation hyperparameter optimization framework,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Optuna: A next-generation hyperparameter optimization framework,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.158349Z

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 c4c0f19c-ff03-40b2-a020-02b26caafadb · outbound

This paper cites Long-latency reflexes account for limb biomechanics through several supraspinal pathways,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Long-latency reflexes account for limb biomechanics through several supraspinal pathways,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.147680Z

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 b77aa254-1693-43f7-b6d7-72869668a671 · outbound

This paper cites On metric-driven development of embedded neuromorphic ai,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity On metric-driven development of embedded neuromorphic ai,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.137932Z

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 8929d3d8-c51f-434c-970a-2fa7f5049c81 · outbound

This paper cites Exploring neuronal leakage for spiking neural networks on event-driven hardware,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Exploring neuronal leakage for spiking neural networks on event-driven hardware,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.129108Z

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 07475fba-eff5-4120-95bf-b4d28b6c2edc · outbound

This paper cites Rapid control and feedback rates enhance neu- roprosthetic control,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Rapid control and feedback rates enhance neu- roprosthetic control,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.120186Z

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 b95095a0-60ea-461a-a511-03303abf8469 · outbound

This paper cites Efficient neuromorphic signal pro- cessing with loihi 2,.

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity Efficient neuromorphic signal pro- cessing with loihi 2,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:37.109599Z

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.

Pith citing papers

No inbound Pith citation observations are available.