Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:49:18.229513Z
Paper Citation Record · LEDGER
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events
As of 19 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 3 inbound Pith citation observations for arXiv:2509.25146.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:52:48.510215Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T13:09:51.425119Z
Reference resolution
90 of 90 outbound references displayed
- verified exact0
- verified fuzzy57
- unresolved33
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 64cfa4d1-33c0-42c4-be2d-34bd1b172a7f · outbound
This paper cites Loss of sensitivity in an analog neural circuit.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Loss of sensitivity in an analog neural circuit
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:17.974310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5913b57-3e71-4043-96a9-097b6cb7a07a · outbound
This paper cites an unresolved cited work.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Unresolved cited work
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:17.978287Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a680dfa-586e-4edc-9fa8-7fcea761e231 · outbound
This paper cites an unresolved cited work.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Unresolved cited work
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:17.982244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 492b772c-6c74-442b-bd18-6312033f2b9a · outbound
This paper cites A silicon model of early visual processing.Neural networks, 1(1):91–97, 1988.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events A silicon model of early visual processing.Neural networks, 1(1):91–97, 1988
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:17.985346Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4925571a-0d28-4e8a-9aa0-507c73f22824 · outbound
This paper cites How much the eye tells the brain.Current Biology, 16(14):1428–1434, 2006.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events How much the eye tells the brain.Current Biology, 16(14):1428–1434, 2006
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:17.989176Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4365dcb3-3345-4aca-9156-3caf9a22ea9f · outbound
This paper cites The multivehicle stereo event camera dataset: An event camera dataset for 3d perception.IEEE Robotics and Automation Letters, 3(3):2032–2039, 2018.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events The multivehicle stereo event camera dataset: An event camera dataset for 3d perception.IEEE Robotics and Automation Letters, 3(3):2032–2039, 2018
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:17.993413Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ce89a4d-4437-4ed6-9e1b-ab05bb3a83dc · outbound
This paper cites DSEC: A Stereo Event Camera Dataset for Driving Scenarios.IEEE Robotics and Automation Letters, 2021.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events DSEC: A Stereo Event Camera Dataset for Driving Scenarios.IEEE Robotics and Automation Letters, 2021
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:17.996816Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0245eec-63ac-4f6c-8e38-6b130376c489 · outbound
This paper cites M3ed: Multi-robot, multi-sensor, multi-environment event dataset.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events M3ed: Multi-robot, multi-sensor, multi-environment event dataset
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:17.999544Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13fbaad8-2d59-4c4a-90bb-6ba46ef8742f · outbound
This paper cites an unresolved cited work.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Unresolved cited work
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.002146Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 581aef07-d4eb-43f1-980a-0159843dc8dd · outbound
This paper cites Ideal spatial adaptation by wavelet shrinkage.biometrika, 81(3):425–455, 1994.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Ideal spatial adaptation by wavelet shrinkage.biometrika, 81(3):425–455, 1994
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.004817Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a4174b7-ccbb-4d67-b1f4-de0651f02472 · outbound
This paper cites an unresolved cited work.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:49:18.843853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1deac11a-078e-4761-935c-a7963c5dce5a · outbound
This paper cites Ideal denoising in an orthonormal basis chosen from a library of bases.Comptes rendus de l’Acad ´emie des sciences.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Ideal denoising in an orthonormal basis chosen from a library of bases.Comptes rendus de l’Acad ´emie des sciences
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.835353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7552c038-a267-485c-86fe-98862a1a899a · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events U-net: Convolutional networks for biomedical image segmentation
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.013307Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56a768f2-efce-47b2-8a1b-0d2fa0364a19 · outbound
This paper cites Deep sets.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Deep sets
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.821750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5b7f4ea7-1521-4a53-86f1-9318209a7e8d · outbound
This paper cites Instant neural graphics primitives with a multiresolution hash encoding.ACM Trans.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Instant neural graphics primitives with a multiresolution hash encoding.ACM Trans
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.019959Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff1d4fac-132d-4a46-998f-76bdb54c3f80 · outbound
This paper cites an unresolved cited work.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:49:18.810739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation feb81ac9-5f52-4410-aa11-dc5ef19fa32f · outbound
This paper cites Unsupervised event-based learning of optical flow, depth, and egomotion.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Unsupervised event-based learning of optical flow, depth, and egomotion
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.026330Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5787a42e-19be-42c9-b35a-4696cf330e7d · outbound
This paper cites Event-based vision meets deep learning on steering prediction for self-driving cars.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Event-based vision meets deep learning on steering prediction for self-driving cars
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.798168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 96ecd949-c3de-4a2e-ab4a-c4bc97204c46 · outbound
This paper cites Calibrating deep neural networks using focal loss.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Calibrating deep neural networks using focal loss
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.790455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0e474226-73b4-4749-b2ae-6b2f00da0ab3 · outbound
This paper cites Ev-segnet: Semantic segmentation for event-based cameras.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Ev-segnet: Semantic segmentation for event-based cameras
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.781219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d1e141d3-2ccf-4031-a5b4-fb0e0247fece · outbound
This paper cites Ess: Learning event-based semantic segmentation from still images.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Ess: Learning event-based semantic segmentation from still images
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.774024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 621d4d82-4dec-4e58-88d3-af6fd8e3e3d7 · outbound
This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Segformer: Simple and efficient design for semantic segmentation with transformers
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.766506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6f4dde83-2a33-4863-8db8-9c19e52e2f26 · outbound
This paper cites The cityscapes dataset for semantic urban scene understanding.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events The cityscapes dataset for semantic urban scene understanding
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.043223Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74ca57b0-cd47-4e0b-b42e-d8b80c086c91 · outbound
This paper cites Internimage: Exploring large-scale vision foundation models with deformable convolutions.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Internimage: Exploring large-scale vision foundation models with deformable convolutions
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.046125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0cb19d62-101b-493f-822b-4459080490a9 · outbound
This paper cites Hierarchical Multi-Scale Attention for Semantic Segmentation.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Hierarchical Multi-Scale Attention for Semantic Segmentation
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.049149Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0ed789d-3817-4bbb-b50a-649d0d56072c · outbound
This paper cites Secrets of event-based optical flow, depth and ego-motion estimation by contrast maximization.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Secrets of event-based optical flow, depth and ego-motion estimation by contrast maximization.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.752127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4b909be7-21ff-45cd-9bab-99231160b018 · outbound
This paper cites Unsupervised event-based learning of optical flow, depth, and egomotion.2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 989–997, 2018.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Unsupervised event-based learning of optical flow, depth, and egomotion.2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 989–997, 2018
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.742168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7a08de2b-afef-4023-9ade-ade992dc789e · outbound
This paper cites an unresolved cited work.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:49:18.733473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation db183962-0ea0-4b7f-9524-6b29194ec11f · outbound
This paper cites E-raft: Dense optical flow from event cameras.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events E-raft: Dense optical flow from event cameras
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.725479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 905335d8-bd87-4cc4-a415-6012953c192a · outbound
This paper cites Vector-symbolic architecture for event-based optical flow, 2025.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Vector-symbolic architecture for event-based optical flow, 2025
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.717539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 399b0bf8-8fed-42dd-baba-5da5657ec0c3 · outbound
This paper cites an unresolved cited work.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:49:18.709152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 357f7757-f7d3-44f0-b70b-6fe81f139ff7 · outbound
This paper cites Motion-prior contrast maximization for dense continuous-time motion estimation.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Motion-prior contrast maximization for dense continuous-time motion estimation
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.699774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 83ca1106-c280-4a25-aaeb-1b5fb9bd34d4 · outbound
This paper cites A database and evaluation methodology for optical flow.International journal of computer vision, 92(1):1–31, 2011.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events A database and evaluation methodology for optical flow.International journal of computer vision, 92(1):1–31, 2011
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.071094Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 785e4c0f-e5bf-4dcd-838a-fe75bbd6e3a7 · outbound
This paper cites an unresolved cited work.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:49:18.686454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5dfd3ca6-909a-4f78-ad5e-1d3b455c3c55 · outbound
This paper cites Live demonstration: Unsu- pervised event-based learning of optical flow, depth and egomotion.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Live demonstration: Unsu- pervised event-based learning of optical flow, depth and egomotion
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.678871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 43b182db-d880-4a17-a0db-e75073e42306 · outbound
This paper cites Event collapse in contrast maximization frameworks.Sensors, 22(14):1–20, 2022.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Event collapse in contrast maximization frameworks.Sensors, 22(14):1–20, 2022
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.671055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0f56a51e-2866-443a-95b7-ac79008bd8fd · outbound
This paper cites Ev-flownet: Self-supervised optical flow estimation for event-based cameras.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Ev-flownet: Self-supervised optical flow estimation for event-based cameras
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.662376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 72724cec-0f8e-4ca7-a250-36f8848f2ad9 · outbound
This paper cites an unresolved cited work.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:49:18.654006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d4c7f973-7a2b-4f4b-8454-b0402b1018cd · outbound
This paper cites Secrets of optical flow estimation and their principles.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Secrets of optical flow estimation and their principles
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.646005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 84175496-d653-4e87-add7-6471f680f873 · outbound
This paper cites Hats: Histograms of averaged time surfaces for robust event-based object classification.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Hats: Histograms of averaged time surfaces for robust event-based object classification
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.638450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4d1b1a0b-07bf-4d69-b545-8250a003a1ae · outbound
This paper cites HOTS: A hierarchy of event-based time-surfaces for pattern recognition.IEEE transactions on pattern analysis and machine intelligence, 39(7):1346–1359, 2016.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events HOTS: A hierarchy of event-based time-surfaces for pattern recognition.IEEE transactions on pattern analysis and machine intelligence, 39(7):1346–1359, 2016
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.629706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9309e2f6-e42e-40ee-b03f-fe5f5e7c38a1 · outbound
This paper cites Learning monocular dense depth from events.IEEE International Conference on 3D Vision.(3DV), 2020.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Learning monocular dense depth from events.IEEE International Conference on 3D Vision.(3DV), 2020
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.621829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 235980d8-3c8d-4acf-8c74-62d1eb22b7a1 · outbound
This paper cites Dual transfer learning for event-based end-task prediction via pluggable event to image translation.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Dual transfer learning for event-based end-task prediction via pluggable event to image translation
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.613308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7e8cecde-3a74-4cd0-8fb7-070667459e03 · outbound
This paper cites Event-based monocular depth estimation with recurrent transformers.IEEE Transactions on Circuits and Systems for Video Technology, 34(8):7417–7429, 2024.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Event-based monocular depth estimation with recurrent transformers.IEEE Transactions on Circuits and Systems for Video Technology, 34(8):7417–7429, 2024
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.604364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3dee2eac-557e-4442-a059-16ca36b61e88 · outbound
This paper cites On-device self-supervised learning of low-latency monocular depth from only events.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events On-device self-supervised learning of low-latency monocular depth from only events
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.594537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1eb6ede4-da54-45bb-bbd1-39e5675101c7 · outbound
This paper cites Depth Anything V2.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Depth Anything V2
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.106332Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 294d5835-caa8-4d14-9bae-57265caa1bf0 · outbound
This paper cites Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(3), 2022.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(3), 2022
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.586994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1f68afa9-39b3-4446-b0ce-ead1d8973809 · outbound
This paper cites Depth map prediction from a single image using a multi-scale deep network.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Depth map prediction from a single image using a multi-scale deep network
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.577599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bec44050-67da-4f54-b15c-9999538f7b1d · outbound
This paper cites Combining events and frames using recurrent asynchronous multimodal networks for monocular depth prediction.IEEE Robotic and Automation Letters.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Combining events and frames using recurrent asynchronous multimodal networks for monocular depth prediction.IEEE Robotic and Automation Letters
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.570206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 12add79e-feb0-4f22-9f20-f3d774c9670f · outbound
This paper cites an unresolved cited work.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:49:18.562518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ea3f7b5d-9a75-442f-8fa4-2b30960c9e9f · outbound
This paper cites Fast, autonomous flight in GPS-denied and cluttered environments.Journal of Field Robotics, 35(1):101–120, 2018.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Fast, autonomous flight in GPS-denied and cluttered environments.Journal of Field Robotics, 35(1):101–120, 2018
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.555488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a68bbf83-b0f4-42d1-a4e6-fd955953a52e · outbound
This paper cites Pereira, and William Bialek.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Pereira, and William Bialek
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.547495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7cd3ad17-7c61-47cd-8fc8-0e1337027db9 · outbound
This paper cites PhD thesis, University of Amsterdam (UV A), 2021.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events PhD thesis, University of Amsterdam (UV A), 2021
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.540578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bb109009-f3c6-4850-bd87-d6ededd0023f · outbound
This paper cites SE(3) equivariant convolution and transformer in ray space.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events SE(3) equivariant convolution and transformer in ray space
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.532875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 638aeb31-4e8d-4a0c-8a5f-142e0b001ee2 · outbound
This paper cites Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.131923Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff5cee9e-96b5-4731-8ccb-6caca850fc28 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events DINOv2: Learning Robust Visual Features without Supervision
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.135321Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 079f2e04-bcb4-4f82-af16-99e9fc3f0909 · outbound
This paper cites Masked autoencoders are scalable vision learners.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Masked autoencoders are scalable vision learners
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.524719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ca9b547e-3190-44f9-ac12-735015800be4 · outbound
This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.142026Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f792e0aa-0879-4fda-bedd-a23d00e62caf · outbound
This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in neural information processing systems, 35:10078–10093, 2022.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in neural information processing systems, 35:10078–10093, 2022
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.516642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ce3a758a-9a7b-400e-a1a8-227111257839 · outbound
This paper cites Event camera-based visual odometry for dynamic motion tracking of a legged robot using adaptive time surface.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Event camera-based visual odometry for dynamic motion tracking of a legged robot using adaptive time surface
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.508339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f8639fef-da11-4a59-9f08-676fffccffb1 · outbound
This paper cites Ev-ttc: Event-based time to collision under low light conditions.IEEE Robotics and Automation Letters, 2025.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Ev-ttc: Event-based time to collision under low light conditions.IEEE Robotics and Automation Letters, 2025
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.500211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0203d384-f0fc-471c-8a8d-3c6937298eb0 · outbound
This paper cites High speed and high dynamic range video with an event camera.IEEE transactions on pattern analysis and machine intelligence, 43(6):1964–1980, 2019.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events High speed and high dynamic range video with an event camera.IEEE transactions on pattern analysis and machine intelligence, 43(6):1964–1980, 2019
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.491512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1708b70d-04be-4d6d-a7dd-1d8a339c48cf · outbound
This paper cites Learning to reconstruct hdr images from events, with applications to depth and flow prediction.International Journal of Computer Vision, 129(4):900–920, 2021.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Learning to reconstruct hdr images from events, with applications to depth and flow prediction.International Journal of Computer Vision, 129(4):900–920, 2021
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.483704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 41e5946d-c94c-4a48-9296-51a2ee93d649 · outbound
This paper cites Stereo depth from events cameras: Concentrate and focus on the future.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Stereo depth from events cameras: Concentrate and focus on the future
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.159358Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c29d8066-5aef-4acf-9235-0a5fc0595e32 · outbound
This paper cites Adaptive time-slice block-matching optical flow algorithm for dynamic vision sensors.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Adaptive time-slice block-matching optical flow algorithm for dynamic vision sensors
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.472319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b52b9397-d66a-4f38-a169-3f9c7d187e85 · outbound
This paper cites Unsupervised event-based optical flow using motion compensation.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Unsupervised event-based optical flow using motion compensation
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.463426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d18ac9ea-7b83-41ee-b445-a2072bdf67b3 · outbound
This paper cites Aegnn: Asynchronous event-based graph neural networks.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Aegnn: Asynchronous event-based graph neural networks
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.168449Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7747df4a-fdba-478c-9c1f-5d9a5ed7b102 · outbound
This paper cites Asynchronous spatial image convolutions for event cameras.IEEE Robotics and Automation Letters, 4(2):816–822, 2019.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Asynchronous spatial image convolutions for event cameras.IEEE Robotics and Automation Letters, 4(2):816–822, 2019
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.452170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f8f437cc-a348-4dd5-9657-5cc511151bfd · outbound
This paper cites Eventpoint: Self-supervised interest point detection and description for event-based camera.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Eventpoint: Self-supervised interest point detection and description for event-based camera
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.443763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 603b1981-d2c2-4de9-ac8d-6e90270f642b · outbound
This paper cites From chaos comes order: Ordering event representations for object recognition and detection.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events From chaos comes order: Ordering event representations for object recognition and detection
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.177470Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fac1137b-ce3c-4599-8e17-2faa136096d3 · outbound
This paper cites Davison, J¨org Conradt, Kostas Daniilidis, and Davide Scaramuzza.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Davison, J¨org Conradt, Kostas Daniilidis, and Davide Scaramuzza
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.431685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 47e19cd3-60c1-470b-b55c-3be497b8748f · outbound
This paper cites Eklt: Asynchronous photometric feature tracking using events and frames.International Journal of Computer Vision, 128(3):601–618, 2020.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Eklt: Asynchronous photometric feature tracking using events and frames.International Journal of Computer Vision, 128(3):601–618, 2020
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.424862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 450dc349-382d-424e-872a-f652b7235392 · outbound
This paper cites Ultimate slam? combining events, images, and imu for robust visual slam in hdr and high-speed scenarios.IEEE Robotics and Automation Letters, 3(2):994–1001, 2018.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Ultimate slam? combining events, images, and imu for robust visual slam in hdr and high-speed scenarios.IEEE Robotics and Automation Letters, 3(2):994–1001, 2018
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.417697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6aac60da-4e4e-409c-ba62-5d3e817c5d34 · outbound
This paper cites Dynamic obstacle avoidance for quadrotors with event cameras.Science Robotics, 5(40):eaaz9712, 2020.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Dynamic obstacle avoidance for quadrotors with event cameras.Science Robotics, 5(40):eaaz9712, 2020
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.408871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7907e34c-1abf-4547-84f5-761d89578be2 · outbound
This paper cites The foldable drone: A morphing quadrotor that can squeeze and fly.IEEE Robotics and Automation Letters, 4(2):209–216, 2018.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events The foldable drone: A morphing quadrotor that can squeeze and fly.IEEE Robotics and Automation Letters, 4(2):209–216, 2018
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.401122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7bb3c0d5-f1e4-4e8b-b3ac-2e9a1091d6cc · outbound
This paper cites Fully neuromorphic vision and control for autonomous drone flight.Science Robotics, 9(90):eadi0591, 2024.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Fully neuromorphic vision and control for autonomous drone flight.Science Robotics, 9(90):eadi0591, 2024
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.393633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dc4ca03f-0f02-45c1-ad76-55127d43c53d · outbound
This paper cites Event-based, 6-dof pose tracking for high-speed maneuvers.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Event-based, 6-dof pose tracking for high-speed maneuvers
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.386071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6620783f-6851-4797-869f-3fd7279d1fc8 · outbound
This paper cites Ev-catcher: High-speed object catching using low-latency event-based neural networks.IEEE Robotics and Automation Letters, 7(4):8737–8744, 2022.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Ev-catcher: High-speed object catching using low-latency event-based neural networks.IEEE Robotics and Automation Letters, 7(4):8737–8744, 2022
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.377979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5c35eb5f-95b9-42ab-b043-9bd32ba7933a · outbound
This paper cites Event-based moving object detection and tracking.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Event-based moving object detection and tracking
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.370660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8986d9d2-447f-4df6-858b-1d5599d5a608 · outbound
This paper cites Evdodgenet: Deep dynamic obstacle dodging with event cameras.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Evdodgenet: Deep dynamic obstacle dodging with event cameras
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.362252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8c1d9960-442a-45d9-9b48-279ca848aa13 · outbound
This paper cites Advancing neuromorphic computing with loihi: A survey of results and outlook.Proceedings of the IEEE, 109(5):911–934, 2021.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Advancing neuromorphic computing with loihi: A survey of results and outlook.Proceedings of the IEEE, 109(5):911–934, 2021
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.354799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5c2f1f1d-366a-45f0-b6da-0ee0d5839b5b · outbound
This paper cites A 100,000 fps vision sensor with embedded 535gops/w 256× 256 simd processor array.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events A 100,000 fps vision sensor with embedded 535gops/w 256× 256 simd processor array
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.347501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4b696906-5933-467b-8df1-d196df74fbf1 · outbound
This paper cites ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
Reference 83
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.211268Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b581e42-85d1-43a9-b7df-41fd2b3848f0 · outbound
This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events 4d spatio-temporal convnets: Minkowski convolutional neural networks
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.339626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ab5f07fa-21e1-4d1b-8468-640ed4c23447 · outbound
This paper cites Torchsparse++: Efficient training and inference framework for sparse convolution on gpus.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Torchsparse++: Efficient training and inference framework for sparse convolution on gpus
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.329963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8b1f103d-e7c1-4364-aeae-38e85d3311b3 · outbound
This paper cites Gimelshein.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Gimelshein
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.322342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0882ca4a-b38f-47fa-b54d-12f232b82553 · outbound
This paper cites Layer Normalization.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Layer Normalization
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:49:18.221931Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 633c98e3-0652-49be-96df-346c979aab16 · outbound
This paper cites Weinberger.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Weinberger
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.314643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c34db6f2-b621-4e77-9b83-9b40474d6dbe · outbound
This paper cites Faster-LIO: Lightweight tightly coupled LiDAR-inertial odometry using parallel sparse incremental voxels.IEEE Robotics and Automation Letters, 7(2):4861–4868, 2022.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events Faster-LIO: Lightweight tightly coupled LiDAR-inertial odometry using parallel sparse incremental voxels.IEEE Robotics and Automation Letters, 7(2):4861–4868, 2022
Reference 89
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.306817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e0d31764-9cc1-4d40-899f-78eafb46df80 · outbound
This paper cites outdoor day2.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events outdoor day2
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:49:18.296836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
Observation 283dac37-c865-44b6-8a7d-676a111f5435 · inbound
Match-Any-Events: Zero-Shot Motion-Robust Feature Matching Across Wide Baselines for Event Cameras cites this paper.
Match-Any-Events: Zero-Shot Motion-Robust Feature Matching Across Wide Baselines for Event Cameras Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-08-03T02:10:46.946075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 366d9fee-6665-49da-83f6-a9cf2b13553b · inbound
OctoSense: Self-Supervised Learning for Multimodal Robot Perception cites this paper.
OctoSense: Self-Supervised Learning for Multimodal Robot Perception Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-08-03T02:10:46.946075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6408a149-eb90-4ede-8e7c-43cea9c1641a · inbound
Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues cites this paper.
Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:52:48.510215Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.