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Paper Citation Record · LEDGER

Noise Filtering Benchmark for Neuromorphic Satellites Observations

As of 18 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 1 inbound Pith citation observation for arXiv:2411.11233.

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

pith.paper-citation-record.v1
2411.11233 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:49:54.503990Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T18:52:40.059267Z

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

71 of 71 outbound references displayed

  • verified exact19
  • verified fuzzy46
  • unresolved5
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 3d00cedc-79fc-47d9-8eaf-06d379832122 · outbound

This paper cites A 128$\times$128 120 dB 15 $ \mu$s Latency Asynchronous Temporal Contrast Vision Sensor,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations A 128$\times$128 120 dB 15 $ \mu$s Latency Asynchronous Temporal Contrast Vision Sensor,

Reference 1

Resolution
verified exact
raw_fallback, observed 2026-08-12T18:49:56.115911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f3043bd6-fc88-4a7e-ae68-a88e4ff65ae1 · outbound

This paper cites Finateu, A.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Finateu, A

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:57.155546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 11f657f0-4d5d-42ef-b188-9c06fd72662c · outbound

This paper cites Event-Based Object Detection and Tracking for Space Situational Awareness,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Event-Based Object Detection and Tracking for Space Situational Awareness,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:57.138940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c94e8855-c24a-4349-b964-a50f5c5cfce2 · outbound

This paper cites Optimal biasing and physical limits of DVS event noise.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Optimal biasing and physical limits of DVS event noise

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-12T18:49:55.950385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.029871Z digest=sha256:a08734ef452b1d3f0a5a37b30f5e2495e0fbaae4f234d2ecdee6f3f51cf51ffb

Observation 7a614376-2664-4972-82f7-3c1f2ce22d7c · outbound

This paper cites Shin- ing light on the dvs pixel: A tutorial and discussion about biasing and optimization,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Shin- ing light on the dvs pixel: A tutorial and discussion about biasing and optimization,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:57.120782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.037539Z digest=sha256:55363ee47ba11e305997adbeef8236c05fb94d839dd7faa873c1b783f88aa474

Observation 5c7eb3f6-2ba7-4717-b7a9-268240ddef37 · outbound

This paper cites Exploit- ing alternating dvs shot noise event pair statistics to re- duce background activity,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Exploit- ing alternating dvs shot noise event pair statistics to re- duce background activity,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:57.102344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.045931Z digest=sha256:a8c3d0f2a9aac2b79cf180fdd24520d54be2289900117214b107e296f562811f

Observation 6bd7c63b-19af-476d-a4a0-7e88b73ce8e1 · outbound

This paper cites Temperature and Parasitic Photocurrent Effects in Dynamic Vision Sensors,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Temperature and Parasitic Photocurrent Effects in Dynamic Vision Sensors,

Reference 7

Resolution
verified exact
raw_fallback, observed 2026-08-12T18:49:55.919746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.054139Z digest=sha256:2c05bde203d5104f2c2316cc7b951e9fe92582d96b1ddb66e2f5e00558e3ab89

Observation f1e97a3d-199c-4381-9a90-59e22002cc61 · outbound

This paper cites Unraveling the paradox of intensity-dependent DVS pixel noise.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Unraveling the paradox of intensity-dependent DVS pixel noise

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T18:49:54.063795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:49:54.063795Z digest=sha256:63e651fb949453501199388c4b11389f29de7ebd28800c379033407aba3d32e6

Observation 7adaa8f0-3b12-469d-97cc-1f3b18e6c14b · outbound

This paper cites v2e: From video frames to realistic dvs events,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations v2e: From video frames to realistic dvs events,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:57.083608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.072078Z digest=sha256:93f898dbca978b5d5a7326c88d29f48d81932935b20427d8647826ff5cf13bda

Observation 760ca851-b1b6-4885-80b0-9138f4a8d572 · outbound

This paper cites Low Cost and Latency Event Camera Background Activity Denoising,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Low Cost and Latency Event Camera Background Activity Denoising,

Reference 10

Resolution
verified exact
raw_fallback, observed 2026-08-12T18:49:55.816019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.078825Z digest=sha256:f747a1fa8e6cd082668343ec9be4f5f7708c55f4fc91a9279b57329ae3292f6a

Observation f70cb1a2-7e8f-41c4-8236-72b61cb86243 · outbound

This paper cites A unifying contrast maximization framework for event cameras, with applications to motion, depth, and optical flow estimation,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations A unifying contrast maximization framework for event cameras, with applications to motion, depth, and optical flow estimation,

Reference 11

Resolution
verified exact
raw_fallback, observed 2026-08-12T18:49:55.736275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.085554Z digest=sha256:48a24cf1c72a82017379d9215288272b811c0401d928fccefb25bae6ccf3a365

Observation b7a60ae1-f127-4f3f-82a3-d83fad8ef93d · outbound

This paper cites Binocular telescope for neuromorphic space situational awareness,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Binocular telescope for neuromorphic space situational awareness,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:57.063815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.093688Z digest=sha256:4068ee07fd6ad7e298d1ed29118af36ed80ceb9c83e31bdfc55506bd83d8c5b9

Observation 2add47c0-3d53-4a01-8036-99d4fbecf98d · outbound

This paper cites Astrometric cal- ibration and source characterisation of the latest generation neuromorphic event-based cameras for space imaging,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Astrometric cal- ibration and source characterisation of the latest generation neuromorphic event-based cameras for space imaging,

Reference 13

Resolution
verified exact
doi, observed 2026-08-12T18:49:54.566511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.099747Z digest=sha256:a6bb7c88c862d14010c85167a8eae63511de79feb74f6406b59e055bf083964b

Observation abc74061-cd94-4f12-b585-6acd8afe968e · outbound

This paper cites Demystifying Event-based Sensor Biasing to Optimize Signal to Noise for Space Domain Awareness,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Demystifying Event-based Sensor Biasing to Optimize Signal to Noise for Space Domain Awareness,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:57.043459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.107941Z digest=sha256:3a50ac41cbe07e64104bdbdde9f450a53d5ed611787aafda2dc7e95f51f62ca7

Observation c1dc7522-4068-46be-80cc-190244d5238f · outbound

This paper cites Less data same information for event-based sensors: A bioinspired filtering and data reduction algorithm,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Less data same information for event-based sensors: A bioinspired filtering and data reduction algorithm,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:57.024000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.116009Z digest=sha256:cacbe75155e8b77686a4afc0456c3389566c575211e9e9f49949e8bd6965c5ff

Observation e7d3c455-928d-43b9-8d74-143358259894 · outbound

This paper cites O(N)-Space Spatiotemporal Filter for Reducing Noise in Neu- romorphic Vision Sensors,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations O(N)-Space Spatiotemporal Filter for Reducing Noise in Neu- romorphic Vision Sensors,

Reference 16

Resolution
verified exact
raw_fallback, observed 2026-08-12T18:49:55.646799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.122246Z digest=sha256:290a7ce8de2f3ec69e189ea36347f43048e19f1ec2e3074bbf8e9ffefb5f4a8d

Observation a1bca26f-4996-4fa6-b7d6-a5ff0f783ca9 · outbound

This paper cites Design of a spatiotemporal correlation filter for event-based sensors,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Design of a spatiotemporal correlation filter for event-based sensors,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:57.005823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a68894f3-4eb4-4e98-b9d1-eb7b8763d37c · outbound

This paper cites Event-based visual flow,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Event-based visual flow,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T18:49:54.135313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:49:54.135313Z digest=sha256:bbf5d5dc29d82c1c72c40dcd8cdffde5ecb89b7a9538b319f01d337e683e1d0a

Observation 56a99397-9434-4e4a-aae8-940cbf4801c2 · outbound

This paper cites Frame-free dynamic digital vision,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Frame-free dynamic digital vision,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.969447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.141601Z digest=sha256:5180b498e389b5471168ae28f921d8132bd02b18540e4e462924a85b2f52399f

Observation 31fb43a8-6a64-4d49-b6ea-a7766ac319cb · outbound

This paper cites Event probability mask (epm) and event denoising convolutional neural network (edncnn) for neuromorphic cameras,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Event probability mask (epm) and event denoising convolutional neural network (edncnn) for neuromorphic cameras,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.950255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.147939Z digest=sha256:493f2dca6c2067d9d155a499d82c6d8dbd8d0ab91f0271761c953005f30e386d

Observation 92215fb4-e5a3-4edb-bef3-57c4015db9f8 · outbound

This paper cites Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras,

Reference 21

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T18:49:56.929668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.154813Z digest=sha256:5043506cd8a9c72612f3b817a8a2adf1334d43d8eb760c59799358b467a5975b

Observation d3dc7361-3da3-468a-8701-69f0672c20cf · outbound

This paper cites Joint filtering of in- tensity images and neuromorphic events for high- resolution noise-robust imaging,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Joint filtering of in- tensity images and neuromorphic events for high- resolution noise-robust imaging,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.909797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.160713Z digest=sha256:3167b2b293e93f053921808cbc5bf6e5ff6f92403c6420d9db42927d7b669737

Observation fd172e4d-ffc9-4f16-b9a1-fb71ea7eb6a2 · outbound

This paper cites AEDNet: Asynchronous Event Denoising with Spatial-Temporal Correlation among Irregular Data,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations AEDNet: Asynchronous Event Denoising with Spatial-Temporal Correlation among Irregular Data,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T18:49:54.173925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:49:54.173925Z digest=sha256:891bb041f8efc30536569f1ff37c6f65a01801a712e1333db94849c0e2434540

Observation 3adebea1-296b-4de6-b6b8-5e7842f1aeda · outbound

This paper cites LED: A Large-scale Real-world Paired Dataset for Event Camera Denoising.

Noise Filtering Benchmark for Neuromorphic Satellites Observations LED: A Large-scale Real-world Paired Dataset for Event Camera Denoising

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-12T18:49:55.490236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.181565Z digest=sha256:708bf6db0d0cc5dea7e6d87d75b2406763f5ffda81235fbe3c3b46491124dbe0

Observation 54aeb7a4-2825-4982-a4cf-22951acd2dae · outbound

This paper cites Event-Based Feature Extraction Using Adaptive Selection Thresholds,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Event-Based Feature Extraction Using Adaptive Selection Thresholds,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.891608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.187258Z digest=sha256:3029988b6fa3c6c902fac2bbdab6dae7e89a84b320f3800b40be46d10ffa11b1

Observation c6d6b9f8-8bdd-4176-aefd-111fe9f161bd · outbound

This paper cites Feedback control of event cameras,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Feedback control of event cameras,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.872109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.193722Z digest=sha256:4b9dce275b28eef9e21333f0b7ca7319f39dbf011628b1a413342ce3e2ac8340

Observation d034d4b1-f844-4ca7-b58f-8e9b1fc1baf5 · outbound

This paper cites Neuromorphic Camera Denoising Using Graph Neural Network- Driven Transformers,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Neuromorphic Camera Denoising Using Graph Neural Network- Driven Transformers,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.853578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.202580Z digest=sha256:52c90bfb0ef9a547390ce741acd18b7ab9476b0b2e63b87e325038d4d5b0e1a4

Observation 9119069f-c348-42dd-aa22-9d1b2425edad · outbound

This paper cites E- MLB: Multilevel Benchmark for Event-Based Camera Denoising,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations E- MLB: Multilevel Benchmark for Event-Based Camera Denoising,

Reference 28

Resolution
verified exact
raw_fallback, observed 2026-08-12T18:49:55.372650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.219224Z digest=sha256:e2076a42b6f57abc91da087fc8a8c10192b090d9baad1db7948ae2818a94fb76

Observation 4885d501-8dd4-47c9-9290-68a26fcc9f3b · outbound

This paper cites A Noise Filter- ing Algorithm for Event-Based Asynchronous Change Detection Image Sensors on TrueNorth and Its Imple- mentation on TrueNorth,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations A Noise Filter- ing Algorithm for Event-Based Asynchronous Change Detection Image Sensors on TrueNorth and Its Imple- mentation on TrueNorth,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T18:49:54.225224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:49:54.225224Z digest=sha256:55dff654b0aedb46b32872e74abe6be3841902781bea635a728fa2a7a5fabc8c

Observation a7c10130-b110-4795-9de5-666097c619a8 · outbound

This paper cites Probabilis- tic Undirected Graph Based Denoising Method for Dynamic Vision Sensor,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Probabilis- tic Undirected Graph Based Denoising Method for Dynamic Vision Sensor,

Reference 30

Resolution
verified exact
raw_fallback, observed 2026-08-12T18:49:55.214879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.232901Z digest=sha256:2c969cc458eb3019599357aa5bf46c33055beb742a368fc07b9770ed64b6b291

Observation 8668d79e-c0c0-41a3-82a3-b3cb88fa5b60 · outbound

This paper cites Event Density Based Denoising Method for Dynamic Vision Sensor,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Event Density Based Denoising Method for Dynamic Vision Sensor,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.832542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.238686Z digest=sha256:c2d92b01953849480ddd6803e2c7fecff302893d496fb00bfabdb492eddb618f

Observation 0f06ca7c-2380-490f-9380-d796467d70ce · outbound

This paper cites HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition,

Reference 32

Resolution
verified exact
raw_fallback, observed 2026-08-12T18:49:55.131471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.246309Z digest=sha256:6fb7d9123834b9a1814cea7de4ea239cf1b1771ca4317a9c23f8e8964b4a85d8

Observation 3dd869cf-e0fa-4ba4-93be-c0e22d3da11a · outbound

This paper cites EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors,

Reference 33

Resolution
verified exact
raw_fallback, observed 2026-08-12T18:49:55.030600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.257194Z digest=sha256:14c188e789cae83fcf3a9c7b76300610ef25cdc860a8afafeecd1cf0c402727b

Observation 0cf97d7d-f286-49c4-84ce-16ba63e0412f · outbound

This paper cites Hash- heat: An o (c) complexity hashing-based filter for dy- namic vision sensor,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Hash- heat: An o (c) complexity hashing-based filter for dy- namic vision sensor,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.812380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.265358Z digest=sha256:048e83d3b3162c394e5813015777691ef5cf964f58c0231546332f3ae36db5ab

Observation 7bf6ec7b-0a93-48eb-abc8-e9394f2ef6f9 · outbound

This paper cites Ebbiot: A low-complexity tracking algorithm for surveillance in iovt using stationary neuromorphic vision sen- sors,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Ebbiot: A low-complexity tracking algorithm for surveillance in iovt using stationary neuromorphic vision sen- sors,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.788380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.271162Z digest=sha256:28b75e75ed1bc22e26033f81d56cc59cf039c257fc20df700e76baa3d1a70330

Observation 5939c1e6-56e0-425f-a656-38001111b855 · outbound

This paper cites EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Dynamic Vision Sensors.

Noise Filtering Benchmark for Neuromorphic Satellites Observations EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Dynamic Vision Sensors

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-12T18:49:54.936203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.277507Z digest=sha256:c49138b6c7ce0ad363626847ada411e7ffb774f6412021f29f464bd7ffbdc497

Observation a9453293-7384-48a4-a043-0b41e18703ca · outbound

This paper cites On-device event filtering with binary neural net- works for pedestrian detection using neuromorphic vi- sion sensors,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations On-device event filtering with binary neural net- works for pedestrian detection using neuromorphic vi- sion sensors,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.764686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.285412Z digest=sha256:6b1946e3b36a4c37de79e3fbb9614a9182bbef7372d37de0db5c78e64c8cd803

Observation e1a1e31f-314b-4457-a8e1-cc42def7a34d · outbound

This paper cites A 51.3-tops/w, 134.4-gops in-memory binary image filtering in 65- nm cmos,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations A 51.3-tops/w, 134.4-gops in-memory binary image filtering in 65- nm cmos,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.743227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.291648Z digest=sha256:bf988a903c6512cf007435ef6c0f25d3cc2ebe73e628bf4a5a4d981e626ea824

Observation e655cfcc-7969-4f4d-a95c-2cfa9ef3f68e · outbound

This paper cites Eventzoom: Learning to denoise and super re- solve neuromorphic events,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Eventzoom: Learning to denoise and super re- solve neuromorphic events,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.722828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.301770Z digest=sha256:19dad9d30718f261a710190dcac9294f9de45fe9c3770942598335b4eaca16ad

Observation 9260e4b0-3077-4995-adcf-fdde76ab4589 · outbound

This paper cites Low latency event-based filtering and feature extraction for dynamic vision sensors in real-time fpga applications,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Low latency event-based filtering and feature extraction for dynamic vision sensors in real-time fpga applications,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.699848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.308650Z digest=sha256:f29ff03e0fd5f7f89a44bb81c29415f0df77173648c9ed5d7e30421f71df45b3

Observation a969595c-91b3-4a54-9819-133a741ebdad · outbound

This paper cites Guided Event Filtering: Synergy between Intensity Images and Neuromorphic Events for High Performance Imaging,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Guided Event Filtering: Synergy between Intensity Images and Neuromorphic Events for High Performance Imaging,

Reference 41

Resolution
verified exact
raw_fallback, observed 2026-08-12T18:49:54.908546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.314606Z digest=sha256:74e78940f4abc6c8d895c92790e3eb37af038c92abef189deff8ddd9c48af02f

Observation 28abe358-02c5-4aec-8978-b8d4f97d17c3 · outbound

This paper cites Approaches for astrometry using event-based sensors,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Approaches for astrometry using event-based sensors,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.681058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.320577Z digest=sha256:06c9bfeff581842b949158f615fe899e99b4620b94e2d4b45951d9c587be3c58

Observation 719d24c6-f4e6-4a9a-b759-39cb983c9154 · outbound

This paper cites Event-based sensing for space situational awareness,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Event-based sensing for space situational awareness,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.654643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.326972Z digest=sha256:b92cc9d5579e410de0d0baddd88de5b0657dd4db1d02a6560b684f2640163153

Observation 32331d51-7516-4c77-b6e7-82ec6fa83e59 · outbound

This paper cites Commercial-off-the-shelf event-based cameras for space surveillance applications,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Commercial-off-the-shelf event-based cameras for space surveillance applications,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.634318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.333402Z digest=sha256:2707e7811cafa6983787f32083233c366be7e9777fb65b50b51f8449344ef555

Observation d674aa36-16e7-4af9-a091-1cd078e213e5 · outbound

This paper cites Observational evaluation of event cameras performance in optical space surveil- lance,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Observational evaluation of event cameras performance in optical space surveil- lance,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.608468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.339741Z digest=sha256:167a99bdd9ff81c61361288f916a31b80b6020ac4923d3fb14bcdad6518c68dc

Observation 9a2e0eb8-b499-4fea-ac72-041f8ef7b43a · outbound

This paper cites Astrometric calibra- tion and source characterisation of the latest gener- ation neuromorphic event-based cameras for space imaging,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Astrometric calibra- tion and source characterisation of the latest gener- ation neuromorphic event-based cameras for space imaging,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.587316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.346701Z digest=sha256:cdcc82f7c51090bdd365131013516d5767af3bff8370d2964de45b2f41cce370

Observation 1448535e-0538-4e24-9829-6ad0f2a8daff · outbound

This paper cites Shake before use: Arti- ficial contrast generation for improved space imaging using neuromorphic event-based vision sensors,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Shake before use: Arti- ficial contrast generation for improved space imaging using neuromorphic event-based vision sensors,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.563359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.353515Z digest=sha256:849771c32fc63ac08c2ab8973f50795741e6c50440a2725a9b58d78d0d870baa

Observation e3e44ee1-f821-4029-bacb-c630942f005c · outbound

This paper cites Real-time event- based unsupervised feature consolidation and tracking for space situational awareness,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Real-time event- based unsupervised feature consolidation and tracking for space situational awareness,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.540014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.360876Z digest=sha256:29b1ad63fa863604a9cb19bb437280a082833d76ce619670b64a3617fd96b309

Observation 543c1182-b287-40f0-8923-4b429818d845 · outbound

This paper cites Event- based sensor multiple hypothesis tracker for space domain awareness,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Event- based sensor multiple hypothesis tracker for space domain awareness,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.518171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.367490Z digest=sha256:67c00560085ae20654a9cfb999b971762b5a4f36871fa0961f5d140e093cc686

Observation b28d4a7b-b14e-461b-8d1c-0fa4bbd399d2 · outbound

This paper cites Exploring space situational awareness using neuromorphic event-based cameras,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Exploring space situational awareness using neuromorphic event-based cameras,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.491618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.373945Z digest=sha256:a5797164d94336f13c33d65c0cbc23dcc4b48d429795f58dbf00bef22f41c6e2

Observation dcdcb613-5332-44b0-8a47-47e4bc6eb635 · outbound

This paper cites Neuromorphic sensor event- rate monitoring for satellite characterization,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Neuromorphic sensor event- rate monitoring for satellite characterization,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.465700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.379590Z digest=sha256:2fbbff16bf26882b6ac911c0aa5acebc3843ca72a8be67b2a4bd36f77221fb26

Observation 39e7c769-2d14-49fd-8e22-1a947f6e5781 · outbound

This paper cites Evaluation of event-based sensors for satellite mate- rial characterization,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Evaluation of event-based sensors for satellite mate- rial characterization,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.446869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.385814Z digest=sha256:423a4ad1f844185cf085836bdd50d83aa87a0d38b5731817b2a4555b9b906de3

Observation 291dc06d-054c-4d2a-9850-ba41056b0e3d · outbound

This paper cites Characterising satellites using neuromorphic sensor multicolour broadband event-rates,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Characterising satellites using neuromorphic sensor multicolour broadband event-rates,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.426958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.392658Z digest=sha256:74ec5def637e5fe2a057796620dfa6e909be4a666f65a47442551951434f8dd3

Observation 6a3206a7-4455-4300-acfd-907fb26d0220 · outbound

This paper cites Use of neu- romorphic sensors for satellite material characterisa- tion,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Use of neu- romorphic sensors for satellite material characterisa- tion,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.406355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.402311Z digest=sha256:58546e8e1dbae907e40b9d4cb4d7fd21d798189d2ac0a07395c30db9ff83b9d2

Observation 836ebc21-0830-4a17-ba80-b4570807998d · outbound

This paper cites An event-based vision sensor sim- ulation framework for space domain awareness applications,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations An event-based vision sensor sim- ulation framework for space domain awareness applications,

Reference 55

Resolution
verified exact
raw_fallback, observed 2026-08-12T18:49:54.800556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.412117Z digest=sha256:710bf95714ff079928c7f65cb84d0e79b12196c118fd9f744b03486331f37880

Observation 3a7cbc87-6e57-44d5-960b-4d18ecf83a06 · outbound

This paper cites Focus is all you need: Loss functions for event-based vi- sion,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Focus is all you need: Loss functions for event-based vi- sion,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.379902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.418661Z digest=sha256:f2ca226a989903193fb3c5e47541fa2caf754ff58d3c9c0750b07c9824b42b23

Observation a59c86f2-84de-43af-96cf-a8a15a232eb2 · outbound

This paper cites Astrometry. net: Blind astrometric cali- bration of arbitrary astronomical images,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Astrometry. net: Blind astrometric cali- bration of arbitrary astronomical images,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.349287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.425733Z digest=sha256:e3c89731f0bc13e4e8cdd6af93208ec5149fc82c830b4b6ce17196bccf220370

Observation 469dede4-6117-49f2-9853-c44c229ddd9d · outbound

This paper cites Gaia data re- lease 3-analysis of the gaia bp/rp spectra using the general stellar parameterizer from photometry,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Gaia data re- lease 3-analysis of the gaia bp/rp spectra using the general stellar parameterizer from photometry,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.327483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.433819Z digest=sha256:bdfed775f566a719895b5dd683f223c1d9b663d64980d1167eff5903996dc4f1

Observation b7813dd2-fcd7-4a09-838a-61702861c433 · outbound

This paper cites Two-line element sets–practice and use,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Two-line element sets–practice and use,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.306532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.439729Z digest=sha256:545b81ce5b9a09d3e0068bc667d219ded7b85fd6841e0eb4f7623b0b70e58dbe

Observation 62052178-bb44-4877-86da-c18cc7cb7340 · outbound

This paper cites An Optimized Deep Spiking Neural Net- work Architecture Without Gradients,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations An Optimized Deep Spiking Neural Net- work Architecture Without Gradients,

Reference 60

Resolution
verified exact
raw_fallback, observed 2026-08-12T18:49:54.710212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.447781Z digest=sha256:fc34bb4bd41b48a701110f9bc96d556315639e5269e6b0286b393784d3705719

Observation f3650f6b-3472-4ecd-9938-241689d5c67a · outbound

This paper cites Synthesis of neural networks for spatio- temporal spike pattern recognition and processing,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Synthesis of neural networks for spatio- temporal spike pattern recognition and processing,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.283361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.454395Z digest=sha256:78b35708da9e29dc3da21c4ed85a3f256ea6e0a25d50290339658f42f00875cf

Observation 0bc511e0-4eda-4132-a99d-6dc4520dd875 · outbound

This paper cites Neuromorphic perception for greenhouse technology using event-based sensors,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Neuromorphic perception for greenhouse technology using event-based sensors,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.262097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.460767Z digest=sha256:d2bc15ee8d9d1f40dec8eb5c6d2693ebfff16c39467227a01be1bd186a78acc5

Observation 54eef6e2-009d-4874-927c-fe3fc1da5e86 · outbound

This paper cites Spatial and temporal down- sampling in event-based visual classification,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Spatial and temporal down- sampling in event-based visual classification,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.240125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.466661Z digest=sha256:0a091a73d93dfb6912a17d8e2c5735136dbe802b841672453468ae0cf999ab22

Observation 03f0b3f2-e8ed-406d-b397-c4431d2a080d · outbound

This paper cites Online and adaptive pseudoinverse solutions for ELM weights,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Online and adaptive pseudoinverse solutions for ELM weights,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.220331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.472876Z digest=sha256:fbfca6e71e7846d1ff1dcda17070af0cad338d6bd45f0537973462874acd3174

Observation cb1b4508-b185-4284-afda-05599028a0d7 · outbound

This paper cites Within-Camera multilayer perceptron DVS denoising,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Within-Camera multilayer perceptron DVS denoising,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.199060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.479292Z digest=sha256:7581b2b35a759124cda4420a7912f8592da09f6c254dfe98f037f2039030bbde

Observation df68b9a7-17f8-492f-941a-45b3bac450f1 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-12T18:49:54.485845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:49:54.485845Z digest=sha256:4a56fe2d08b6634568719d393a8f653fac3b211a1d6928ec67f19be4d7dacb88

Observation 80978779-6571-49b6-970e-532761c18860 · outbound

This paper cites An fpga implementation of an event-driven unsupervised feature extraction algorithm for pattern recognition,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations An fpga implementation of an event-driven unsupervised feature extraction algorithm for pattern recognition,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.157718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.492071Z digest=sha256:7906543a71abdf4d0c017be4c0760fc12a918e97a402e943f22bf98e5b06b2c9

Observation ccdaaf2f-825b-4d93-8894-941c2ecc1c9b · outbound

This paper cites An optimized multi-layer spiking neural network im- plementation in fpga without multipliers,.

Noise Filtering Benchmark for Neuromorphic Satellites Observations An optimized multi-layer spiking neural network im- plementation in fpga without multipliers,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:49:56.134847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.497904Z digest=sha256:4ac3ce9d72aeea6c1373c049c96e66a26645e4d17c2d0ff455ae6ed94aa053ee

Observation 24801d44-25cd-4fdf-a6f5-49ec3cc38ca1 · outbound

This paper cites Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-08-12T18:49:54.600625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.503990Z digest=sha256:523ea0c557db4f1b58b0220b629e06806d255cc7c0c10b1b1f07419bc0483d68

Observation 26084926-a7e5-48f1-bc7a-91844c8210e8 · outbound

This paper cites Available: https://ieeexplore.ieee.org/ document/9142352/.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Available: https://ieeexplore.ieee.org/ document/9142352/

Reference 2020

Resolution
verified exact
raw_fallback, observed 2026-08-12T18:49:56.028969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.019166Z digest=sha256:5abd6ac9f2618482025e3ae97466770625bdd11c50e0c6b9801daf181893d609

Observation 3a09aea6-722c-4f5d-aa71-9bb95f7114ff · outbound

This paper cites Available: https://ieeexplore.ieee.org/ document/9893571/.

Noise Filtering Benchmark for Neuromorphic Satellites Observations Available: https://ieeexplore.ieee.org/ document/9893571/

Reference 2024

Resolution
verified exact
raw_fallback, observed 2026-08-12T18:49:55.458582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:49:54.211152Z digest=sha256:61b9ae71991c992e4a6628b0d8774ac5328a4e2c0167f40720b3d1ff0d2abff4

Pith citing papers

Observation 90460816-9892-47a1-91c0-6ce4f7e9e341 · inbound

Programmable Silicon Retina on Pixel Processor Array cites this paper.

Programmable Silicon Retina on Pixel Processor Array Noise Filtering Benchmark for Neuromorphic Satellites Observations

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-27T19:01:08.268806Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T18:52:40.059267Z digest=sha256:71828aa2a5534497eb9e89f829e0080bd45d1c44dee6146ab86fa73bac5d9ca9