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Paper Citation Record · LEDGER

Event-based attention and tracking on neuromorphic hardware

As of 16 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:1907.04060.

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

pith.paper-citation-record.v1
1907.04060 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T00:01:20.641358Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

22 of 22 outbound references displayed

  • verified exact4
  • verified fuzzy18
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ff5032c-eeb5-46d1-b5be-f8092a149d64 · outbound

This paper cites STICK: Spike Time Inter- val Computational Kernal, a Framework for General Pur- pose Computation Using Neurons, Precise Timing and Syn- chrony.

Event-based attention and tracking on neuromorphic hardware STICK: Spike Time Inter- val Computational Kernal, a Framework for General Pur- pose Computation Using Neurons, Precise Timing and Syn- chrony

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 10fc6af8-47a1-45c8-8a0f-293454cb94ba · outbound

This paper cites HOTS: A Hierarchy Of event-based Time- Surfaces for pattern recognition.

Event-based attention and tracking on neuromorphic hardware HOTS: A Hierarchy Of event-based Time- Surfaces for pattern recognition

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 961038de-49ec-4991-af9c-1997640510a9 · outbound

This paper cites A spiking neural network model of 3D perception for event-based neuromorphic stereo vision systems.

Event-based attention and tracking on neuromorphic hardware A spiking neural network model of 3D perception for event-based neuromorphic stereo vision systems

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation db6a9005-8ba6-4772-9eb1-860fd3af48e5 · outbound

This paper cites Available: http://www.nature.com/articles/ srep40703 1.

Event-based attention and tracking on neuromorphic hardware Available: http://www.nature.com/articles/ srep40703 1

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3386c9b6-1990-4f1f-ba63-a0d163d268fe · outbound

This paper cites Neuromorphic Event-Based 3D Pose Estimation.

Event-based attention and tracking on neuromorphic hardware Neuromorphic Event-Based 3D Pose Estimation

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f86d7aa9-ece4-4278-9141-1627ee82ba09 · outbound

This paper cites Event- based 3D reconstruction from neuromorphic retinas.

Event-based attention and tracking on neuromorphic hardware Event- based 3D reconstruction from neuromorphic retinas

Reference 6

Resolution
verified exact
doi, observed 2026-05-25T00:05:06.611681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d1c738c8-3de9-4dcb-8a02-e8ef14212980 · outbound

This paper cites Asynchronous frameless event-based optical flow.

Event-based attention and tracking on neuromorphic hardware Asynchronous frameless event-based optical flow

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-25T00:05:06.896827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 22f0e088-4c82-482a-aa3b-356bb9398e30 · outbound

This paper cites Memory and information pro- cessing in neuromorphic systems.

Event-based attention and tracking on neuromorphic hardware Memory and information pro- cessing in neuromorphic systems

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 23e59fe6-ac56-47f6-8ad5-b0faab364cd4 · outbound

This paper cites Loihi: a Neuromorphic Manycore Processor with On-Chip Learning.

Event-based attention and tracking on neuromorphic hardware Loihi: a Neuromorphic Manycore Processor with On-Chip Learning

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T00:06:30.441920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation befd30f5-d783-40bb-a2cc-b236e06c4b6f · outbound

This paper cites Artificial brains. A million spiking-neuron integrated circuit with a scalable communication network and interface.

Event-based attention and tracking on neuromorphic hardware Artificial brains. A million spiking-neuron integrated circuit with a scalable communication network and interface

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-25T00:05:06.905854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4e5f9261-ce46-4904-8e8e-ce30f1b05650 · outbound

This paper cites Overview of the SpiNNaker System Architecture.

Event-based attention and tracking on neuromorphic hardware Overview of the SpiNNaker System Architecture

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 96643a4d-6ea2-4323-bb65-d76a70256da3 · outbound

This paper cites Modeling Selective Attention Using a Neuromorphic Analog VLSI Device.

Event-based attention and tracking on neuromorphic hardware Modeling Selective Attention Using a Neuromorphic Analog VLSI Device

Reference 12

Resolution
verified exact
doi, observed 2026-05-25T00:05:06.616973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 88871c56-0bd5-40cc-a4a4-4cf339199ab6 · outbound

This paper cites An accelerated LIF neuronal network array for a large-scale mixed-signal neu- romorphic architecture.

Event-based attention and tracking on neuromorphic hardware An accelerated LIF neuronal network array for a large-scale mixed-signal neu- romorphic architecture

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T00:06:30.438017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1fed8bcf-aaf7-49d8-876e-ccf8a9838dc9 · outbound

This paper cites Point-to-Point Connectivity Between Neu- romorphic Chips using Address-Events.

Event-based attention and tracking on neuromorphic hardware Point-to-Point Connectivity Between Neu- romorphic Chips using Address-Events

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T00:06:30.429820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 42d72090-d7b4-4b91-83c6-b7c87ac14061 · outbound

This paper cites Available: https://web.stanford.edu/group/ brainsinsilicon/pdf/00{ }journ{ }IEEEtsc{ }Point.pdf 1.

Event-based attention and tracking on neuromorphic hardware Available: https://web.stanford.edu/group/ brainsinsilicon/pdf/00{ }journ{ }IEEEtsc{ }Point.pdf 1

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c158c6a7-be14-4ed1-9321-b9a90ac38294 · outbound

This paper cites A 240 180 130 dB 3 µs latency global shutter spatiotem- poral vision sensor.

Event-based attention and tracking on neuromorphic hardware A 240 180 130 dB 3 µs latency global shutter spatiotem- poral vision sensor

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-25T00:01:20.641358Z digest=sha256:12edb3634f2b8e8362b6727db30f8c8716df0035e6a63d07aa37134d6080c20d

Observation 5c93264c-9694-4569-bc99-42b2cdee1beb · outbound

This paper cites Sch ¨oner and J.

Event-based attention and tracking on neuromorphic hardware Sch ¨oner and J

Reference 17

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8fda5d75-89a9-4cb8-b1a1-276865d24bdd · outbound

This paper cites Dynamic Neural Fields as a Step To- wards Cognitive Neuromorphic Architectures.

Event-based attention and tracking on neuromorphic hardware Dynamic Neural Fields as a Step To- wards Cognitive Neuromorphic Architectures

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T00:06:30.413069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cd5297fa-7d41-467e-9065-984e6e0bd326 · outbound

This paper cites A neuromorphic ap- proach for tracking using dynamic neural fields on a pro- grammable vision-chip.

Event-based attention and tracking on neuromorphic hardware A neuromorphic ap- proach for tracking using dynamic neural fields on a pro- grammable vision-chip

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T00:06:30.480339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 90e7c999-1eb9-46b3-8302-62bb0c852254 · outbound

This paper cites Mapping spiking neural networks onto a many- core neuromorphic architecture.

Event-based attention and tracking on neuromorphic hardware Mapping spiking neural networks onto a many- core neuromorphic architecture

Reference 20

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raw_fallback, observed 2026-05-25T00:06:30.476308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation afab6aa8-9b9b-4087-9229-33f80989f974 · outbound

This paper cites Using Dynamic Field Theory to extend the em- bodiment stance toward higher cognition.

Event-based attention and tracking on neuromorphic hardware Using Dynamic Field Theory to extend the em- bodiment stance toward higher cognition

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation da81e5c2-399a-4f4c-916c-36f3a7f1e910 · outbound

This paper cites The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM.

Event-based attention and tracking on neuromorphic hardware The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T00:06:30.468964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-25T00:01:20.641358Z digest=sha256:561c1ef05c6db60e3f7e39e30c70a1abd0eb8e1eea882bf63609d7009b37d1f9

Pith citing papers

No inbound Pith citation observations are available.