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Paper Citation Record · LEDGER

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking

As of 20 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2501.12482.

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

pith.paper-citation-record.v1
2501.12482 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:12:26.994669Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:51:13.968369Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T20:51:14.104641Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact1
  • verified fuzzy34
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0cd0e144-dc31-4028-86cc-096d92de3742 · outbound

This paper cites Vision for mobile robot navigation: A survey,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Vision for mobile robot navigation: A survey,

Reference 1

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no resolver link, observed 2026-08-10T17:12:26.821992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:12:26.821992Z digest=sha256:1330176d0cd27d43b00d6babcd91dddcaa606e056ce146f838ea5110e8875d16

Observation 6b49b3ac-5a53-425c-885f-16dd3a128aac · outbound

This paper cites Rapid object detection using a boosted cascade of simple features,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Rapid object detection using a boosted cascade of simple features,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.519252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.826359Z digest=sha256:e8063a357a3a35dd6f0773ad58be9a32f4fd106e2f4bd45e033eb9f88ca3687b

Observation 77befff5-6bc0-4a6b-b3ec-1390dcbe5446 · outbound

This paper cites Histograms of oriented gradients for human detection,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Histograms of oriented gradients for human detection,

Reference 3

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raw_fallback, observed 2026-08-10T17:12:27.507494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.830224Z digest=sha256:e3882f46047384ca981c12b6f18cd9a9a41ccb6405e039c61e5dba6b81476d1d

Observation cb460680-466b-4686-b3a4-69b9e563bb25 · outbound

This paper cites Object detection with discriminatively trained part-based models,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Object detection with discriminatively trained part-based models,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.495307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.834062Z digest=sha256:3ffd70c5acb1b6834414e1106e1a93402e5b3de13b0c97db003495e0f02c936c

Observation e72e4b3e-d1d2-4f1e-8acc-b7c6abc56d11 · outbound

This paper cites Object detection with deep learning: A review,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Object detection with deep learning: A review,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:12:26.838182Z digest=sha256:1f8f89aa083be63e1f8f6346c3e0ed854f25d4cb5ca3906e18fc05ca9aa203d7

Observation 51f58ecf-2f26-46f5-a216-11653300a54c · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 6

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no resolver link, observed 2026-08-10T17:12:26.842264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:12:26.842264Z digest=sha256:b723551efe82d558de2ecbc789f3ec10bed0ec368226e081e3d1dc66a2cafc80

Observation 25fab3be-2dd7-42a5-9a70-eb98a6b28980 · outbound

This paper cites Faster r-cnn: Towards real- time object detection with region proposal networks,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Faster r-cnn: Towards real- time object detection with region proposal networks,

Reference 7

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raw_fallback, observed 2026-08-10T17:12:27.469544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.846997Z digest=sha256:01c2e312be8889bf77a67729e72aeaa7fbda5597e3c05504742cfafbdce24872

Observation a9e8109b-240e-4000-afa1-7fe1433286b2 · outbound

This paper cites Spatial pyramid pooling in deep convolutional networks for visual recognition,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Spatial pyramid pooling in deep convolutional networks for visual recognition,

Reference 8

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raw_fallback, observed 2026-08-10T17:12:27.456817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.850576Z digest=sha256:51f146e019e7cee6b708131064d08d215437003ba2819436c7720f3f690d75bc

Observation b7f15c30-cdcc-4191-9b98-f27e9bb9c449 · outbound

This paper cites You only look once: Unified, real-time object detection,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking You only look once: Unified, real-time object detection,

Reference 9

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no resolver link, observed 2026-08-10T17:12:26.854217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:12:26.854217Z digest=sha256:397289b507d5052c7d9ae640091b58359204947f0dee2fbaf9c0c5c97701a592

Observation 95239f0c-3c34-4b3f-8374-4bd79eb738e2 · outbound

This paper cites Focal loss for dense object detection,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Focal loss for dense object detection,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.437854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.857835Z digest=sha256:a89372e9f1779407cd706afc528e8539c653dab4942a05f9cbad4fd46fa206f1

Observation 224dcfb2-b356-43bb-8286-f2223a68d14b · outbound

This paper cites Ssd: Single shot multibox detector,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Ssd: Single shot multibox detector,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.861564Z digest=sha256:5f428754c0d4905d52df19f9c1f39990a5fe436ce8f737953f6bd2f047b88723

Observation 5ec6e61f-8afd-43f1-90d7-34dd2bb771bc · outbound

This paper cites End-to-end object detection with transformers,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking End-to-end object detection with transformers,

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:12:26.865204Z digest=sha256:6e231d1b739af518f490271075de663fc0e7a8b6acc8addffb559ea70f8ed372

Observation 12e47bf5-2f7f-468a-86bc-c347e75f2cbb · outbound

This paper cites Planning-oriented autonomous driving,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Planning-oriented autonomous driving,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T17:12:26.868716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:12:26.868716Z digest=sha256:30794e29aed5a68519c9afe6df636857dc17623eab13520676f0de556da3ac38

Observation 96687703-0162-47e5-aa94-ce4f8a49a921 · outbound

This paper cites Adaptive-spikenet: event-based optical flow estimation using spiking neural networks with learnable neuronal dynamics,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Adaptive-spikenet: event-based optical flow estimation using spiking neural networks with learnable neuronal dynamics,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.400777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.872062Z digest=sha256:c06fb9335ca6d2a62776f217868289e4dd986b175755ff8251f8fbec6c431d9f

Observation 01d041d2-3879-42f1-bd0c-a682b0d65183 · outbound

This paper cites Dotie-detecting objects through temporal isolation of events using a spiking architecture,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Dotie-detecting objects through temporal isolation of events using a spiking architecture,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.388735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.875415Z digest=sha256:e75827ff743a328cec3adfaf069277eadc3aa533c6b5c4dc6bf407375b002801

Observation 989ffe29-4564-42c1-ab67-07eb48494a09 · outbound

This paper cites Fly motion vision,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Fly motion vision,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.376152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.878986Z digest=sha256:ef01fd14e0c08a02b73ac9f695b1e8b4021bf50b82f82dc55068435cfcf80199

Observation d7ebbe4d-7404-4895-9895-bc64e1dc8e25 · outbound

This paper cites Honeybee navigation en route to the goal: visual flight control and odometry,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Honeybee navigation en route to the goal: visual flight control and odometry,

Reference 17

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raw_fallback, observed 2026-08-10T17:12:27.363536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.882403Z digest=sha256:3406bb5ec7c26a4c8b12ea148de5dfd6ccb7a73b0532cf3765a0454eaa4a7594

Observation 9d4b738f-df53-431f-8212-5c2d3d5a64d0 · outbound

This paper cites Optic flow-based collision-free strategies: From insects to robots,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Optic flow-based collision-free strategies: From insects to robots,

Reference 18

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raw_fallback, observed 2026-08-10T17:12:27.350240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.885890Z digest=sha256:4d97c9d94d361e180eea6416a4776958fbcdf3d70bb3bd7f382390ce4e61bbe4

Observation c4d63435-74aa-45e1-b4ee-f1c75047e80b · outbound

This paper cites The silicon retina,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking The silicon retina,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.337634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.889491Z digest=sha256:75e1e6de3637f1c30dbb7cd8b480a9860d5f820fe50f744bb8538fc09bfca6d1

Observation 6ba76359-d2de-44e5-b597-f2c2daa22fb9 · outbound

This paper cites A low power, fully event-based gesture recognition system,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking A low power, fully event-based gesture recognition system,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.324933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.893109Z digest=sha256:87e50f4e593737aec659b373ce433857455136fa0a652ce1db4eedbbd3999e6d

Observation c27ae6fc-1776-4954-bb99-e1d7d8f37cb6 · outbound

This paper cites A 128 ×128 120 db 15 µs latency asynchronous temporal contrast vision sensor,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking A 128 ×128 120 db 15 µs latency asynchronous temporal contrast vision sensor,

Reference 21

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no resolver link, observed 2026-08-10T17:12:26.896855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:12:26.896855Z digest=sha256:bd8922bfe320e4194aa886ce66124c9406ee2516d798345e9a045839d9beeaea

Observation 3cc41a77-e16e-4064-8f74-0c21b6ef30b7 · outbound

This paper cites Enabling deep spiking neural networks with hybrid conversion and spike timing dependent backpropagation,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Enabling deep spiking neural networks with hybrid conversion and spike timing dependent backpropagation,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.306834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.900569Z digest=sha256:7428f2d592352130dc96fd99a5ecd6b3cc2bd7b6fa52c1dae29de23cf58456e1

Observation 5ff3a1b5-c25e-4f03-8f9f-eddb402d2f6c · outbound

This paper cites Unflow: Unsupervised learning of optical flow with a bidirectional census loss,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Unflow: Unsupervised learning of optical flow with a bidirectional census loss,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.295886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.904657Z digest=sha256:4b769ad934206a4e1e59ad53e27219024a5de54b85a3cebf01306f49ec1dff5c

Observation 0327db91-8ea5-4573-a0c4-0ed76fca9d9e · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking U-net: Convolutional networks for biomedical image segmentation,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.285374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.908171Z digest=sha256:f23ae66798baf297a22a67b113291f1a761fa3ab1e901bc05c1f238f7f9909b3

Observation c55a55c1-ee58-4380-9b5f-b5a94db7ed1f · outbound

This paper cites EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T17:12:26.911604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:12:26.911604Z digest=sha256:6e919a5bcf609868d6f9f1d0bea30f8ebcace081055a03476537ae9004794fd0

Observation c7bdbbe0-06d5-4f0b-9582-ff4f2dfae8a1 · outbound

This paper cites Spiking optical flow for event-based sensors using ibm’s truenorth neurosynaptic system,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Spiking optical flow for event-based sensors using ibm’s truenorth neurosynaptic system,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.274487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.915682Z digest=sha256:bcf382151c4683c1d2f94ffb6aee8a3d99585f3bd3c1e4640c857e92ca8bc72a

Observation b57e8b72-a8fe-46b3-b7c0-5906527aecc6 · outbound

This paper cites A spiking neural network architecture for visual motion estimation,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking A spiking neural network architecture for visual motion estimation,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.263743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.919261Z digest=sha256:a2698d09006d06ba0a5b79d4d452cb3ad5720695c4c38ffd53540bf0c4fa9f49

Observation 60e9d537-aa8e-4614-9ecf-8899d073e9bc · outbound

This paper cites Unsupervised learning of a hierarchical spiking neural network for optical flow esti- mation: From events to global motion perception,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Unsupervised learning of a hierarchical spiking neural network for optical flow esti- mation: From events to global motion perception,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.251340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.922846Z digest=sha256:295194a7c141a8ba2dcc6f09295714dc3da605adc55438393ee79cfed36cb4e7

Observation f95666f2-b0ae-49fd-a0f8-4600682a1035 · outbound

This paper cites Spike-flownet: event-based optical flow estimation with energy-efficient hybrid neural networks,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Spike-flownet: event-based optical flow estimation with energy-efficient hybrid neural networks,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.239215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.926521Z digest=sha256:22d4d408467484c348c841f3d6c8d64786a370d6501a2700c5caf84e5fc442ca

Observation ea0933bd-78e4-407e-bca8-e2ce395e5455 · outbound

This paper cites Fast sensory motor control based on event-based hybrid neuromorphic-procedural system,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Fast sensory motor control based on event-based hybrid neuromorphic-procedural system,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.228165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.930133Z digest=sha256:47dae7b932b5a112c192fa833d1eda89a817b9084e74ce2e1c84230d8798f153

Observation fc71a854-376a-4920-a9a0-8f2194347383 · outbound

This paper cites Robotic goalie with 3 ms reaction time at 4% cpu load using event-based dynamic vision sensor,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Robotic goalie with 3 ms reaction time at 4% cpu load using event-based dynamic vision sensor,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.216675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.933757Z digest=sha256:5dd17257219c1f2521aaaa44f90dcd1d1fd81a1533067a432702e893fa63ff41

Observation 3c43cc71-02ab-47d4-8b46-88fd786fc383 · outbound

This paper cites Asynchronous event-based multikernel algorithm for high-speed vi- sual features tracking,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Asynchronous event-based multikernel algorithm for high-speed vi- sual features tracking,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.204726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.937573Z digest=sha256:9994cb86689e58b3371b54aa38be6a20f46aec4063a72695a430d4a0f55f9da2

Observation 2701770b-585e-4e6e-84f4-83b21eff9f92 · outbound

This paper cites Event-based Moving Object Detection and Tracking.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Event-based Moving Object Detection and Tracking

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:12:27.031753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.941164Z digest=sha256:deaca2605fd7660409f9bc418a2f3b92d128b5402891cb9c5e3c5d463ef5591e

Observation 815342b1-0a6d-4dd9-b8a8-d77c12739b03 · outbound

This paper cites A motion-based feature for event-based pattern recognition,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking A motion-based feature for event-based pattern recognition,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.190489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.945168Z digest=sha256:331bb77012a834f9f95b1deaee1e098f8f737eb2e7154fd6118f28b6266752b5

Observation 49f43110-f9b2-4764-b206-ba1baf2f4769 · outbound

This paper cites Dart: distribution aware retinal transform for event-based cameras,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Dart: distribution aware retinal transform for event-based cameras,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.177773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.948679Z digest=sha256:4ee9b25aefed40f74c11fb5bb6216b8fd0389b035d80ba351be9cb042d38141a

Observation f5f80b8d-f115-43a3-a66a-7c88833f2e75 · outbound

This paper cites Hats: Histograms of averaged time surfaces for robust event-based object classification,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Hats: Histograms of averaged time surfaces for robust event-based object classification,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.165849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.952198Z digest=sha256:5599625e4e7c666f619160d903bee394f575f2e702d939e91b4ce79f01814105

Observation bbd79ca6-99bf-4d57-85be-4fa06b3a58f7 · outbound

This paper cites Adaptive temporal pooling for object detection using dynamic vision sensor.,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Adaptive temporal pooling for object detection using dynamic vision sensor.,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.153763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.955687Z digest=sha256:ee8e736fe46e0a8b562f1686a50528cd502d2d14662078c14780c4a0539104ce

Observation 57a0b905-7dfb-4bf0-be38-e2f2afb37d0c · outbound

This paper cites Asyn- chronous convolutional networks for object detection in neuromorphic cameras,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Asyn- chronous convolutional networks for object detection in neuromorphic cameras,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.141903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.959436Z digest=sha256:22be737f8513fc4bff1490ca5060a19af16246a868a458a5399b8ca5b5b92f0e

Observation 197e5b6e-c868-404d-a0c9-9f9cb5f25c64 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking A density-based algorithm for discovering clusters in large spatial databases with noise,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T17:12:26.963680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:12:26.963680Z digest=sha256:5ba303afdb0c3549d2852e2980c70d35d000b81141c8b713656d808072971114

Observation 6f1a627d-a2c4-4f02-9fd4-e8d6eec290d3 · outbound

This paper cites Lapicque’s introduction of the integrate-and-fire model neuron (1907),.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Lapicque’s introduction of the integrate-and-fire model neuron (1907),

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.123583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.968168Z digest=sha256:ec45716c7d06d01abb316645cfe5a3d260ff4f309b9ebbec6c0f1a676a130421

Observation 377588c4-db0b-40a6-8556-12a2b4012d48 · outbound

This paper cites Diet-snn: A low-latency spiking neural network with direct input encoding and leakage and threshold optimization,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Diet-snn: A low-latency spiking neural network with direct input encoding and leakage and threshold optimization,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T17:12:26.971852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:12:26.971852Z digest=sha256:d36e295f1f1d36761f99ac43f08c1d63261292fd373c95be725c351834756c3d

Observation edbafa8c-5a05-46e0-b02a-0ad4b8109137 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Scalability in perception for autonomous driving: Waymo open dataset,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T17:12:26.975436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:12:26.975436Z digest=sha256:08adea7948abfef76c51ae36b66adc0c85766f326ea0eafcf5c5f446f3c19e38

Observation 17cae87f-205f-4024-9b1f-db4a6de8380f · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking nuscenes: A multimodal dataset for autonomous driving,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.098823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.978836Z digest=sha256:cef34ff5f29bbc3ac7f1ef20d6c387b76cd831423eec33adbbeba1c1980de430

Observation c54da776-5c49-4f95-8a01-151aa7306aeb · outbound

This paper cites The multivehicle stereo event camera dataset: An event camera dataset for 3d perception,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking The multivehicle stereo event camera dataset: An event camera dataset for 3d perception,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T17:12:26.982180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:12:26.982180Z digest=sha256:69683fbd1b1cfe31e528156e30358067d1e6c56d2e27ba88f76d094aa13726c1

Observation 94c8274b-eaeb-47d4-9fa8-407d9a2c1f9c · outbound

This paper cites Dsec: A stereo event camera dataset for driving scenarios,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Dsec: A stereo event camera dataset for driving scenarios,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.079995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.986643Z digest=sha256:4df26a7d4f115617addbd243f343e21bb7d7058ac0be1f1f6e9dcbbd26b215a1

Observation 47642e37-df31-469d-965d-f1fe040d5d52 · outbound

This paper cites Fedora: Flying event dataset for reactive behavior,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Fedora: Flying event dataset for reactive behavior,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.068104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.991227Z digest=sha256:635c38080c4bdd13317e3edc5a436b71cdb42171cc3ded1c42e591b203bb6ba0

Observation 2a96938b-f893-4272-b2cf-1ba2c90b0035 · outbound

This paper cites A 240 × 180 130 db 3 µs latency global shutter spatiotemporal vision sensor,.

TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking A 240 × 180 130 db 3 µs latency global shutter spatiotemporal vision sensor,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:12:27.057054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:12:26.994669Z digest=sha256:10ad68c987cbb48d15573374ce80c007c6f4ca4e243abf94ade61c042a14f935

Pith citing papers

Observation 338c5d25-d007-4bdd-9e2f-238a8d161f1a · inbound

Neuro-LIFT: A Neuromorphic, LLM-based Interactive Framework for Autonomous Drone FlighT at the Edge cites this paper.

Neuro-LIFT: A Neuromorphic, LLM-based Interactive Framework for Autonomous Drone FlighT at the Edge TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-09T20:51:14.110771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T20:51:13.968369Z digest=sha256:902a2d094bf62af69882aeaaaf17c1ca82aee5c17a5fbf736d21a673e6e168f4