Paper Citation Record · LEDGER

Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.18508.

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

pith.paper-citation-record.v1
2404.18508 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:36:35.810587Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 582abf2b-e9e6-4e3f-93d0-e517f5b0427c · inbound

VMamba: Visual State Space Model cites this paper.

VMamba: Visual State Space Model Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T18:23:07.241268Z

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.

Observation 74c7bda6-7bd2-4596-b3ba-bf2775810779 · inbound

Spike-TBR: a Noise Resilient Neuromorphic Event Representation cites this paper.

Spike-TBR: a Noise Resilient Neuromorphic Event Representation Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T10:36:35.810587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5bdb79f-e3e4-4d4e-b129-4f2b01da9e84 · inbound

SiLIF: Structured State Space Model Dynamics and Parametrization for Spiking Neural Networks cites this paper.

SiLIF: Structured State Space Model Dynamics and Parametrization for Spiking Neural Networks Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T11:07:15.268719Z

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.

Observation 8746b51b-3df3-476a-9184-fa4375c60de9 · inbound

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow cites this paper.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:28.840621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58d03e92-d7a3-4a08-84c7-1bc0548ddd22 · inbound

Scalable neuromorphic computing from autonomous spiking dynamics in a clockless reconfigurable chip cites this paper.

Scalable neuromorphic computing from autonomous spiking dynamics in a clockless reconfigurable chip Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:57:42.202931Z

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.

Observation 189e79a5-7dc2-4da5-b577-d6847bca3b54 · inbound

LC-Flow: Learning Local Continuous Optical Flow and Confidence from events cites this paper.

LC-Flow: Learning Local Continuous Optical Flow and Confidence from events Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:14:45.633931Z

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.

Observation 8dd07f32-4ef5-43ec-8fb2-2cc4d968e4eb · inbound

The SpiNNaker2 chip: a many-core platform for flexible and scalable brain-inspired computing cites this paper.

The SpiNNaker2 chip: a many-core platform for flexible and scalable brain-inspired computing Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-31T16:02:10.661043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.