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Paper Citation Record · LEDGER

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues

As of 13 August 2026, this Paper Citation Record lists 100 of 287 outbound references and 0 inbound Pith citation observations for arXiv:2608.11075.

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

pith.paper-citation-record.v1
2608.11075 v1

Coverage vector

measured 100 of 287 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:52:48.960699Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 287 outbound references displayed

  • verified exact24
  • verified fuzzy0
  • unresolved70
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c5cc125c-824e-4018-94d6-ffa7f7514c29 · outbound

This paper cites an unresolved cited work.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Unresolved cited work

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e554e361-7f3e-4b8b-910d-d474201ea05d · outbound

This paper cites an unresolved cited work.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Unresolved cited work

Reference 2

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no resolver link, observed 2026-08-12T10:52:48.249681Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.249681Z digest=sha256:82f2cd327c93c7c16cd5fa3e9dd917593b48395e3cf12ce0ef0ca77796afe429

Observation 5d51f41f-ff3d-4aa9-b41f-9600221120c2 · outbound

This paper cites Journal of Foo , volume = 13, number = 1, pages =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Journal of Foo , volume = 13, number = 1, pages =

Reference 3

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no resolver link, observed 2026-08-12T10:52:48.256299Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.256299Z digest=sha256:ce77f237f7fe11726b4dcf7d4689f5e0ffe183e385cb4db38934e055f8338c70

Observation 5d096bdc-e281-4e35-8ea3-3aabd509643f · outbound

This paper cites Journal of Foo , volume = 14, number = 1, pages =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Journal of Foo , volume = 14, number = 1, pages =

Reference 4

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Observation d02a00e5-0bad-4049-a97a-5beaf6daeb0e · outbound

This paper cites an unresolved cited work.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Unresolved cited work

Reference 5

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no resolver link, observed 2026-08-12T10:52:48.275251Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.275251Z digest=sha256:4a1dde980668098c6cb5eaa098ea2f20d35b59c069fcdc2692a2ca684be41fb8

Observation 3a967491-63ac-4adb-b9b6-7c4cfb183856 · outbound

This paper cites Pushing the boundaries of event subsampling in event-based video classification using CNNs.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Pushing the boundaries of event subsampling in event-based video classification using CNNs

Reference 6

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no resolver link, observed 2026-08-12T10:52:48.282636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 07d593ad-daee-4a6f-a21c-ebd97d237931 · outbound

This paper cites Cimpoi and S.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Cimpoi and S

Reference 8

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no resolver link, observed 2026-08-12T10:52:48.298809Z

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Observation 53183ced-5998-417b-b11a-2ad96dd72bf1 · outbound

This paper cites v2e: From Video Frames to Realistic DVS Events.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues v2e: From Video Frames to Realistic DVS Events

Reference 9

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no resolver link, observed 2026-08-12T10:52:48.305122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.305122Z digest=sha256:2ac3ca26ebc8f57a40f72b49785d2e3665c5d862ad17f5e4729ce133b342f818

Observation e29201ae-0aaa-4ed5-a846-0dfabb9fd416 · outbound

This paper cites Harris and M.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Harris and M

Reference 10

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Unavailable: canonical work link unavailable.

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Observation 3175f11d-c10d-4a62-a46d-bd986ea307dd · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) , year =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) , year =

Reference 11

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no resolver link, observed 2026-08-12T10:52:48.318844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.318844Z digest=sha256:84580614ef56f9d99b59282ef799296fb205f51d0d3dfc6d8f10a0dcc52817d4

Observation 1bd2d3f4-7389-42b8-8690-c6b852693cab · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Advances in Neural Information Processing Systems , volume =

Reference 12

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no resolver link, observed 2026-08-12T10:52:48.325501Z

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Observation 3f4b1687-bed1-49a4-b9fb-6fc629eeec76 · outbound

This paper cites Event-Based Fusion for Motion Deblurring with Cross-Modal Attention , booktitle =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Event-Based Fusion for Motion Deblurring with Cross-Modal Attention , booktitle =

Reference 13

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source=arxiv_source observed=2026-08-12T10:52:48.332702Z digest=sha256:84051cbf4504990e464104199c560f1e09031e6e164aee273295bb4cb3a96a98

Observation f2847514-aee3-4fbe-9953-21eb4c3ba335 · outbound

This paper cites Detecting Turbulent Patterns in Particulate Pipe Flow by Streak Angle Visualization.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Detecting Turbulent Patterns in Particulate Pipe Flow by Streak Angle Visualization

Reference 14

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metadata mismatch
local_arxiv, observed 2026-08-12T10:53:39.730206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f7b5e0d4-de08-4ab6-a820-a25eefd40050 · outbound

This paper cites an unresolved cited work.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Unresolved cited work

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.346911Z digest=sha256:00bfe6a400b98998dbb8a406c8a627fec90cc3f873ec60f35f65450c76f8e337

Observation 4e7e793d-a172-447f-a37e-d88e56c8005d · outbound

This paper cites In: Proceedings of the IEEE Conf.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues In: Proceedings of the IEEE Conf

Reference 17

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no resolver link, observed 2026-08-12T10:52:48.363321Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.363321Z digest=sha256:3d5a1271e75dc52770df1aa0327fcb12d79176c4223bf5fddf92c7e14a11d5dc

Observation 5f2b46ed-e42a-449a-9193-8c3085713ec2 · outbound

This paper cites v2e: From Video Frames to Realistic DVS Events.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues v2e: From Video Frames to Realistic DVS Events

Reference 18

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unresolved
no resolver link, observed 2026-08-12T10:52:48.371737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.371737Z digest=sha256:3b090d7225af2ffc659fd042a493e03e07b9a6389f14267bba4c47c35e5eeeb0

Observation 8743d39e-aaad-45c4-a6ca-ac032eead6fa · outbound

This paper cites Towards Anytime Optical Flow Estimation with Event Cameras.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Towards Anytime Optical Flow Estimation with Event Cameras

Reference 20

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unresolved
no resolver link, observed 2026-08-12T10:52:48.386573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8aa0a84c-80a1-4658-9adf-37ac7cf5f500 · outbound

This paper cites Geometric-.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Geometric-

Reference 21

Resolution
verified exact
doi, observed 2026-08-12T10:53:39.695304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation eddccfb6-0950-42de-8ef9-bf1e0f322663 · outbound

This paper cites an unresolved cited work.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Unresolved cited work

Reference 22

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3d7f92ed-ad42-4685-b484-c34cdd3ddad6 · outbound

This paper cites Hybrid Event Frame Sensors: Modeling, Calibration, and Simulation.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Hybrid Event Frame Sensors: Modeling, Calibration, and Simulation

Reference 23

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verified exact
local_arxiv, observed 2026-08-12T10:53:39.266324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b1540acc-c7cf-4e18-811e-531138245b66 · outbound

This paper cites Symmetria:.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Symmetria:

Reference 24

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verified exact
doi, observed 2026-08-12T10:53:39.150588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation aa7b54d7-9746-43d5-95d4-aa33f2149c23 · outbound

This paper cites TESPEC: Temporally-Enhanced Self-Supervised Pretraining for Event Cameras.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues TESPEC: Temporally-Enhanced Self-Supervised Pretraining for Event Cameras

Reference 25

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metadata mismatch
local_arxiv, observed 2026-08-12T10:53:39.022397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 86748b92-09c4-407d-abbd-eb3954a52448 · outbound

This paper cites an unresolved cited work.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Unresolved cited work

Reference 26

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 759620fb-1560-49c0-8875-f77b9303e4a5 · outbound

This paper cites an unresolved cited work.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Unresolved cited work

Reference 27

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Unavailable: canonical work link unavailable.

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Observation 09c9a092-34a0-472f-bd06-aaff4dca3176 · outbound

This paper cites Proceedings of the IEEE , author =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Proceedings of the IEEE , author =

Reference 28

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Observation 355e21ba-4ed4-48ef-9789-48e311b14685 · outbound

This paper cites Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from Sparse Event Data.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from Sparse Event Data

Reference 29

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Unavailable: canonical work link unavailable.

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Observation 847e0a57-a8fe-4a53-80b0-938b54580cf8 · outbound

This paper cites an unresolved cited work.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Unresolved cited work

Reference 30

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f7af549b-2c1d-4b13-b7b3-6dfc23d3aed8 · outbound

This paper cites Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning

Reference 31

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metadata mismatch
local_arxiv, observed 2026-08-12T10:53:38.554621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ec74377d-df1b-43f5-87b4-3d3cd416905b · outbound

This paper cites an unresolved cited work.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Unresolved cited work

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 57bd2571-f62f-4ea1-b00d-f533c38149f2 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , author =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues IEEE Transactions on Pattern Analysis and Machine Intelligence , author =

Reference 34

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Unavailable: canonical work link unavailable.

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Observation a282bf9b-3fb7-494a-b55a-17841707405e · outbound

This paper cites Frontiers in Neuroscience , author =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Frontiers in Neuroscience , author =

Reference 35

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Unavailable: canonical work link unavailable.

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Observation 5904e74a-5606-4e04-ace4-780ed7418b53 · outbound

This paper cites Evaluation of.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Evaluation of

Reference 36

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no resolver link, observed 2026-08-12T10:52:48.497080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.497080Z digest=sha256:ba66ff2da3a4ba9cd7b43827f3de70ef5439782bae09c4cfe718f1f38c97d43b

Observation 41af3361-f5ca-4c3c-8323-eb698eb7d104 · outbound

This paper cites Adaptive.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Adaptive

Reference 37

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.503115Z digest=sha256:0ea777f201f2009736e1c53b6b65a9ce9d82eaf065f66ad78d526073e1871cd5

Observation 6408a149-eb90-4ede-8e7c-43cea9c1641a · outbound

This paper cites Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events.

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

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unresolved
no resolver link, observed 2026-08-12T10:52:48.510215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0917ac7b-f96d-491b-aa3b-883175408ba4 · outbound

This paper cites doi:10.48550/arXiv.2509.18184 , abstract =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues doi:10.48550/arXiv.2509.18184 , abstract =

Reference 39

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verified exact
doi, observed 2026-08-12T10:53:38.102140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.517058Z digest=sha256:e471767a11cb190014c22ce33406c44869bc38cc4daab0c4f9168f14156cf2cd

Observation f99d41b0-498b-409a-8d0a-20d5a44b54c4 · outbound

This paper cites doi:10.48550/arXiv.2504.15863 , abstract =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues doi:10.48550/arXiv.2504.15863 , abstract =

Reference 40

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verified exact
doi, observed 2026-08-12T10:53:37.973486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.522970Z digest=sha256:70b8eb49d95d4741d49242fa1335cd3d924f4d0f6ce2ab7abcdcaacdc0f6ac54

Observation 56ce87f2-cd1f-4c51-9352-294f2174c0c9 · outbound

This paper cites Distance Surface for Event-Based Optical Flow.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Distance Surface for Event-Based Optical Flow

Reference 41

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verified exact
local_arxiv, observed 2026-08-12T10:53:37.858923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.529535Z digest=sha256:545ad2749d154090b0ec87ee3d3cbf9b6989e5661c2b88a23f14cfb1f7e8611b

Observation e78b98ff-b213-4c34-a3a0-fe6da2ac495c · outbound

This paper cites doi:10.48550/arXiv.2509.13784 , abstract =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues doi:10.48550/arXiv.2509.13784 , abstract =

Reference 42

Resolution
verified exact
doi, observed 2026-08-12T10:53:37.626821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.535888Z digest=sha256:26de3d4f2657e76d14e77646c66ff0ba4ff43b36384cd4a80a73f75c919627f2

Observation 5a282d95-7d6e-48cb-8c31-48b59c8f025e · outbound

This paper cites Selection and.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Selection and

Reference 44

Resolution
verified exact
doi, observed 2026-08-12T10:53:37.448652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.546709Z digest=sha256:4d59b8255f3d6fd8f4df359f123b877484388fc79db2b0f1c16e430b71f91040

Observation 5d838ba5-3807-47be-8e99-df43dede89b2 · outbound

This paper cites MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.553022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.553022Z digest=sha256:715bc0517ef86634f5fd40e48604d0d0eb0d0cd72c77a41fd615f837d81629f5

Observation dd9daa45-47cf-419a-b251-7603f5220226 · outbound

This paper cites an unresolved cited work.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Unresolved cited work

Reference 46

Resolution
verified exact
doi, observed 2026-08-12T10:53:37.339828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.559504Z digest=sha256:20ad7fc636f3bb24856f82eebba62c2607d634891e2bb58a3a07e2b1dd5ebb93

Observation 7acd7e3f-c87a-4f5b-a539-0806c6f15799 · outbound

This paper cites BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T10:53:37.123878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.564988Z digest=sha256:ed17c3994f140592e24cdf11f4835bd2fc1bd795ee4806a7b340c996443dd722

Observation 9e8bf9eb-cc93-4356-9d6e-144b530c34c3 · outbound

This paper cites KPConvX: Modernizing Kernel Point Convolution with Kernel Attention.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues KPConvX: Modernizing Kernel Point Convolution with Kernel Attention

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.570885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.570885Z digest=sha256:6875d17779ea18c058943ba7b23ef14015ea6b94ed284bffed97616a7c2c0ab2

Observation 827814c2-ed3e-44bc-84f5-5ec0eeb032d2 · outbound

This paper cites Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:53:37.098834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.578209Z digest=sha256:c37fa93e3fdab913f1c8e5193b9c62a57295df78fc57d6076811a1796bdc87fd

Observation b7251170-74b9-4f88-ade7-324be2b2af43 · outbound

This paper cites EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching

Reference 50

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T10:53:37.025019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.586185Z digest=sha256:826200a35d2ed05e37fda2753efd394569056fc466f3dc783cc558074dccf1b6

Observation 64b753e9-373e-4578-8d1c-0cf9a4b29cf6 · outbound

This paper cites 2025 , keywords =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues 2025 , keywords =

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.592419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.592419Z digest=sha256:a5b27d70f8ca975d03b458bc0dc30b7a80d20a0783475a44e48b6d5c6d9ce841

Observation 6a3b8949-106d-441f-a00b-0eb7abf95b51 · outbound

This paper cites VGGT: Visual Geometry Grounded Transformer.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues VGGT: Visual Geometry Grounded Transformer

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.598303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.598303Z digest=sha256:5472f8c2e5564c065d585a5ff144b5e416316c4a41984524885dba675925dbad

Observation fb266482-17a1-4b90-8e45-205994d571e3 · outbound

This paper cites Cross-modal.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Cross-modal

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.604268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.604268Z digest=sha256:579915ff9d1e0a56f14f191bfa9f30a5ec64581d4375b4a57efc00ca5290a570

Observation ef87227d-6fea-4dc2-95fa-19863cb52d76 · outbound

This paper cites E-Motion: Future Motion Simulation via Event Sequence Diffusion.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues E-Motion: Future Motion Simulation via Event Sequence Diffusion

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:53:36.858587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.611093Z digest=sha256:fb0f04c7d9a77e85e9d3a33d36407623b31ab70f3d090f17fe31607d600ab88a

Observation 3743298c-ee15-4a00-b3b6-51f16c3667a2 · outbound

This paper cites Explorative Inbetweening of Time and Space.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Explorative Inbetweening of Time and Space

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.617127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.617127Z digest=sha256:9656eb45a1a8d8cd758994ae517d61cf1a7921ce1ddc8c7da849327a4cbedb8e

Observation e1fcc68c-5c08-4238-80de-0b41e3015fe1 · outbound

This paper cites EV-MGDispNet: Motion-Guided Event-Based Stereo Disparity Estimation Network with Left-Right Consistency.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues EV-MGDispNet: Motion-Guided Event-Based Stereo Disparity Estimation Network with Left-Right Consistency

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T10:53:36.834442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.623598Z digest=sha256:eee17d35a587372800c94b7737a5bf0bf66defb3bf6ee30468b082fe45561d65

Observation f634d36d-712e-4e33-926d-ef49e824706a · outbound

This paper cites IEEE Transactions on Instrumentation and Measurement , author =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues IEEE Transactions on Instrumentation and Measurement , author =

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.631054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.631054Z digest=sha256:012bda2abb5ede450f24869864ef2e900d8b71dbd8c24fbaa5d38769c649a5f3

Observation a375030f-741e-4081-88b3-d802daf32d06 · outbound

This paper cites Information Fusion , author =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Information Fusion , author =

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.637065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.637065Z digest=sha256:1591503295b82fb6c3bcabc6c1ecfb4afcd19ee968785c6c5696a09e4d6279b6

Observation 0cbd91b4-60bc-49c3-ab15-461e1a58888a · outbound

This paper cites International Journal of Computer Vision , author =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues International Journal of Computer Vision , author =

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.642383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.642383Z digest=sha256:62ecb42ac2594d05db76750c7acb2f90b274d96b30b9f94382c4bdf2f0d2a2da

Observation dddc2610-0fa2-4680-9af1-57275d177426 · outbound

This paper cites Dense Depth from Event Focal Stack.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Dense Depth from Event Focal Stack

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:53:36.813684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.648480Z digest=sha256:abe147d7efeff28ca1049a7f80c78be3c7214b08ac88ab983b6b4025ecca322e

Observation f1448eab-e0cf-4d62-87b3-6679147baf69 · outbound

This paper cites FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.654350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.654350Z digest=sha256:080b5eaaaddab827e9eab618d0bb0598360673d64975680c8b8f193d7eaaf59d

Observation dced9256-b56f-4b08-a571-4dd149048404 · outbound

This paper cites Maximizing.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Maximizing

Reference 62

Resolution
verified exact
doi, observed 2026-08-12T10:52:52.516974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.660200Z digest=sha256:9198626b2bcd6710481c403fb40ac6d082e295ab2b3e23418c4b33ca3ea64d10

Observation b2600296-8472-4351-b81e-88b6031a3bd5 · outbound

This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.666094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.666094Z digest=sha256:5f871330349c6174d47218f752b1b7a6a55361993d0b151abb31bded9a864472

Observation 1313fa59-f2a9-43b3-bf3c-d1c2f23a3218 · outbound

This paper cites Visual Prompt Tuning.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Visual Prompt Tuning

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.673005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.673005Z digest=sha256:048c703239f65ed824b794ed820aa4527ee5eb965b314b1e928708683f39b193

Observation 2c5d11e2-6ee4-4bc8-8758-531284641c5a · outbound

This paper cites Advances in.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Advances in

Reference 66

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unresolved
no resolver link, observed 2026-08-12T10:52:48.684644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.684644Z digest=sha256:b9c569e399ebeb7e783e4a02ce3b7bbc1a7cb0eaaf7774ef59f8b5eb77851523

Observation fdeffbc4-3f09-41d8-8bd8-63a49910ed5a · outbound

This paper cites Universal.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Universal

Reference 67

Resolution
verified exact
doi, observed 2026-08-12T10:52:52.402523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.690474Z digest=sha256:255dee70447326cc3daf7439b03761cb09a0b8abbd57571dc780da28604eba32

Observation faac2247-48a2-48b2-9e29-d994887a7511 · outbound

This paper cites IEEE Transactions on Circuits and Systems for Video Technology , author =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues IEEE Transactions on Circuits and Systems for Video Technology , author =

Reference 68

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unresolved
no resolver link, observed 2026-08-12T10:52:48.696236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.696236Z digest=sha256:eae0f1fa810e0eba69ccb95baba488d6134c2bcb118b65ac63249a205501a004

Observation b61d6752-0d4f-4bc5-8b4c-b0e9c26e6b3f · outbound

This paper cites Distilling Monocular Foundation Model for Fine-grained Depth Completion.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Distilling Monocular Foundation Model for Fine-grained Depth Completion

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.702371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.702371Z digest=sha256:3dcec32d53b06d7c49e9455b7f33f44eb7e80e91a834f5fbd5977160e5ad43cf

Observation b44979a7-f1b5-4ab2-988a-e6cef980985d · outbound

This paper cites DEFOM-Stereo: Depth Foundation Model Based Stereo Matching.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues DEFOM-Stereo: Depth Foundation Model Based Stereo Matching

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.709233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.709233Z digest=sha256:1223d8300553068d19bd3e39cc90431c3fff0a3fae5511c488d4d6f52058ad54

Observation ea240028-66a4-498c-bc10-db9ce4116343 · outbound

This paper cites XTrack: Multimodal Training Boosts RGB-X Video Object Trackers.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues XTrack: Multimodal Training Boosts RGB-X Video Object Trackers

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.716878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.716878Z digest=sha256:7e4d8c3d9a6e2aa386e8f5ddd88cbc6ad556ead6d1641415eaadffa3c8bba76a

Observation 17ff9dfa-3fb2-4f09-8fcd-a8f4f7e4011d · outbound

This paper cites Single-Model and Any-Modality for Video Object Tracking.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Single-Model and Any-Modality for Video Object Tracking

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.722968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.722968Z digest=sha256:a0d10b77d609ef9955d9ba040f80cedcf4a717e051caa78bf72951b451d6ce02

Observation f18b9a93-4bcd-42e3-a3eb-a0366c272ae3 · outbound

This paper cites Visual Prompt Multi-Modal Tracking.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Visual Prompt Multi-Modal Tracking

Reference 73

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unresolved
no resolver link, observed 2026-08-12T10:52:48.729177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.729177Z digest=sha256:4c0663be68923396fb199a15682fb66e9e4e6f7e9c5c1ba09f07bc4916c6f2ff

Observation 030ec25d-c260-4ac1-942e-385dc306654d · outbound

This paper cites ST-MoE: Designing Stable and Transferable Sparse Expert Models.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues ST-MoE: Designing Stable and Transferable Sparse Expert Models

Reference 74

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unresolved
no resolver link, observed 2026-08-12T10:52:48.735448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.735448Z digest=sha256:c8cef5a92003ece71826a6bf7b88d6597adf13e5236fd16e289da0703b408a00

Observation 4911bc8c-3058-4a59-b29d-8cd03ad19a10 · outbound

This paper cites an unresolved cited work.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Unresolved cited work

Reference 77

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unresolved
no resolver link, observed 2026-08-12T10:52:48.752950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.752950Z digest=sha256:a945c606b798bfbff972aec3e9d92f4e55ce64c8a91bb4ff77a1a64574bc45a3

Observation 185a5c11-63e9-4a43-8144-e9a761706432 · outbound

This paper cites and Schindler, Konrad , month = jun, year =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues and Schindler, Konrad , month = jun, year =

Reference 78

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unresolved
no resolver link, observed 2026-08-12T10:52:48.759367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.759367Z digest=sha256:01a068c3b24e73e81d0ba6cd40a06a897fe8208ad52576578732a42cae7ea1d1

Observation fdd3605b-eba2-4549-9a94-b99c00612f78 · outbound

This paper cites Semantic.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Semantic

Reference 79

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unresolved
no resolver link, observed 2026-08-12T10:52:48.765830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.765830Z digest=sha256:96d3118778cd04776a4aefdc8040a610adccfbbd31f62f48840e093aa8b3eadd

Observation d0401ba7-9f43-46f9-9068-569a36fe84bc · outbound

This paper cites ACM Transactions on Graphics , author =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues ACM Transactions on Graphics , author =

Reference 80

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unresolved
no resolver link, observed 2026-08-12T10:52:48.772217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.772217Z digest=sha256:8c6010ea7ae22495125d480db0a7fe1b0ae1de01dbb8438500dd8083c92d2012

Observation 4a5f658d-7d09-43cc-bc57-f0eb089a2003 · outbound

This paper cites Event-based Stereo Depth Estimation: A Survey.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Event-based Stereo Depth Estimation: A Survey

Reference 81

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unresolved
no resolver link, observed 2026-08-12T10:52:48.778019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.778019Z digest=sha256:4e20b4dcc6642619ac022d4bbe57938fcd8290a0ecd24c59f6213ee12f33719b

Observation d56ace00-2d0b-4f5e-a609-a72a07ad3a9d · outbound

This paper cites , month = jun, year =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues , month = jun, year =

Reference 82

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no resolver link, observed 2026-08-12T10:52:48.784862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.784862Z digest=sha256:188a592724fb188024a74beae6203650b412a7d4c4ef8db9f527fd6867118216

Observation c664b219-5696-4724-84d2-8abb70c7117b · outbound

This paper cites 2022 , pages =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues 2022 , pages =

Reference 83

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no resolver link, observed 2026-08-12T10:52:48.791657Z

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source=arxiv_source observed=2026-08-12T10:52:48.791657Z digest=sha256:cc4c8d4a77609fbb03395df2f4cc4da24a1e05f4734fab6165e0cf2d691053f0

Observation 9a4b848b-4458-4767-a9f7-f244aeb20d43 · outbound

This paper cites and Deschaud, Jean-Emmanuel and Marcotegui, Beatriz and Goulette, Francois and Guibas, Leonidas , month = oct, year =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues and Deschaud, Jean-Emmanuel and Marcotegui, Beatriz and Goulette, Francois and Guibas, Leonidas , month = oct, year =

Reference 84

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Observation 5efdebfe-9dca-4f94-ac7d-243096737c97 · outbound

This paper cites Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 85

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no resolver link, observed 2026-08-12T10:52:48.803123Z

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source=arxiv_source observed=2026-08-12T10:52:48.803123Z digest=sha256:8193460b302c76db457d0e29cc4b5f68cb605470359e99de2499111ec47e0171

Observation e8dcb54b-234c-477a-a56b-17e704903d8c · outbound

This paper cites an unresolved cited work.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Unresolved cited work

Reference 86

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no resolver link, observed 2026-08-12T10:52:48.810993Z

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source=arxiv_source observed=2026-08-12T10:52:48.810993Z digest=sha256:08752d39142d1b5dcf6363540b2b05e92d3bfc88e42db42e19061ef98d5f8603

Observation f1749b79-9be8-435a-90a6-a3fd5273bd34 · outbound

This paper cites Neural Networks , author =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Neural Networks , author =

Reference 87

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no resolver link, observed 2026-08-12T10:52:48.816815Z

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source=arxiv_source observed=2026-08-12T10:52:48.816815Z digest=sha256:c768706bedd90d2308d02eca32ad63d6ff3c074161454727ed888a9fea5a3d59

Observation 455a0e8d-15cc-4224-98c3-d11031ed9ccd · outbound

This paper cites an unresolved cited work.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Unresolved cited work

Reference 88

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no resolver link, observed 2026-08-12T10:52:48.822630Z

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source=arxiv_source observed=2026-08-12T10:52:48.822630Z digest=sha256:94f8d6b4ecea91b85a353cb479bb9a02a124d378fa4492ef289cd3222a0c66f2

Observation 604c5f8b-3254-484f-9f7b-76e82cac311b · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , author =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues IEEE Transactions on Pattern Analysis and Machine Intelligence , author =

Reference 89

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no resolver link, observed 2026-08-12T10:52:48.828719Z

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source=arxiv_source observed=2026-08-12T10:52:48.828719Z digest=sha256:60fba7e9f150b5666719c3e3b4cd0b64e48d98a918e7866dba3cf22423505db7

Observation c22b586c-e9bf-4689-90a5-5bbdaffdbcb3 · outbound

This paper cites Point Transformer V2: Grouped Vector Attention and Partition-based Pooling.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Point Transformer V2: Grouped Vector Attention and Partition-based Pooling

Reference 90

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no resolver link, observed 2026-08-12T10:52:48.834978Z

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source=arxiv_source observed=2026-08-12T10:52:48.834978Z digest=sha256:f693efb9ef6c3bfbc5932fdfb5084fb119f771878920b3582c50acff8f0e25d8

Observation 32775dc5-c5c6-4d7f-9794-0f91b202c710 · outbound

This paper cites an unresolved cited work.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Unresolved cited work

Reference 91

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verified exact
doi, observed 2026-08-12T10:52:52.080020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d0447e88-ced6-4d32-826d-d4f8aa225e22 · outbound

This paper cites Simultaneous Motion And Noise Estimation with Event Cameras.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Simultaneous Motion And Noise Estimation with Event Cameras

Reference 92

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verified exact
local_arxiv, observed 2026-08-12T10:53:38.537211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3b6e0c51-c112-4c69-bbc1-87735d872a7f · outbound

This paper cites ETAP: Event-based Tracking of Any Point.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues ETAP: Event-based Tracking of Any Point

Reference 93

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no resolver link, observed 2026-08-12T10:52:48.856344Z

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source=arxiv_source observed=2026-08-12T10:52:48.856344Z digest=sha256:37886adda75380d8008b3ef19c6ff3c1091beb39a5f598e9ea1670d2b733110a

Observation 5b02c32d-6bee-4018-ac51-6748e9cff64b · outbound

This paper cites DiET-GS: Diffusion Prior and Event Stream-Assisted Motion Deblurring 3D Gaussian Splatting.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues DiET-GS: Diffusion Prior and Event Stream-Assisted Motion Deblurring 3D Gaussian Splatting

Reference 94

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no resolver link, observed 2026-08-12T10:52:48.863070Z

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source=arxiv_source observed=2026-08-12T10:52:48.863070Z digest=sha256:ab98cd767e09c25b7a4998591aafaa1f00e360e65f18b886430bef4b04ea4ba2

Observation f0887ccb-6477-4dce-873f-056398d2f9ab · outbound

This paper cites On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events

Reference 95

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verified exact
local_arxiv, observed 2026-08-12T10:52:51.954180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a3c84ad0-04b5-471e-b883-3cece6bdbf85 · outbound

This paper cites IEEE Transactions on Emerging Topics in Computational Intelligence , author =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues IEEE Transactions on Emerging Topics in Computational Intelligence , author =

Reference 96

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no resolver link, observed 2026-08-12T10:52:48.876746Z

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source=arxiv_source observed=2026-08-12T10:52:48.876746Z digest=sha256:82de0a6db52580bd1f51e36afa0e399c801caacb8e6fe80588038ae0aa373b99

Observation e9121ef5-c3eb-4ef0-8b7c-e597a6aad232 · outbound

This paper cites Deep Networks Always Grok and Here is Why.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Deep Networks Always Grok and Here is Why

Reference 97

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source=arxiv_source observed=2026-08-12T10:52:48.885856Z digest=sha256:7bcb3fc90d6f72743f11b3f48249b0fef08be76b80c547fd687db4171cdf69a9

Observation e8655383-843b-4941-86ba-512ac967f5ec · outbound

This paper cites doi:10.48550/arXiv.2405.12179 , abstract =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues doi:10.48550/arXiv.2405.12179 , abstract =

Reference 98

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verified exact
doi, observed 2026-08-12T10:52:51.900733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b9a4c5fc-e81a-4988-a904-fabf3eecc8fb · outbound

This paper cites Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory

Reference 99

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no resolver link, observed 2026-08-12T10:52:48.900180Z

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source=arxiv_source observed=2026-08-12T10:52:48.900180Z digest=sha256:8c2c16baade2c14c63f3fca47005365d218dd0b20aeffec53cc17e4fe696f7f0

Observation 9ea085c7-a5df-4160-923b-c6526412c624 · outbound

This paper cites Recent Event Camera Innovations: A Survey.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Recent Event Camera Innovations: A Survey

Reference 100

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no resolver link, observed 2026-08-12T10:52:48.906285Z

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source=arxiv_source observed=2026-08-12T10:52:48.906285Z digest=sha256:b584bc2527d597037202eaf502af8a001f1853c4c17e53b51fbd8c813e6a8dab

Observation bef0d035-1ebe-4dc2-b23a-ea9e19f3fed2 · outbound

This paper cites LEOD: Label-Efficient Object Detection for Event Cameras.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues LEOD: Label-Efficient Object Detection for Event Cameras

Reference 102

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no resolver link, observed 2026-08-12T10:52:48.918318Z

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source=arxiv_source observed=2026-08-12T10:52:48.918318Z digest=sha256:d1fdd7013d856b3117c96d3ecb74b039fadc546ab789db3f1e2a5d81affea3a2

Observation dac6c588-a192-474f-907e-e4dbe8ab41a4 · outbound

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

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Design of a spatiotemporal correlation filter for event-based sensors , issn =

Reference 103

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no resolver link, observed 2026-08-12T10:52:48.924913Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T10:52:48.924913Z digest=sha256:69e03be70758c0b3f1d03102a5c8581c4be0784c05a4529cf9bc88e22f2ddb37

Observation 2fb78031-1af7-4f33-b477-aac0443ece7f · outbound

This paper cites Advanced Intelligent Systems , author =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Advanced Intelligent Systems , author =

Reference 104

Resolution
verified exact
doi, observed 2026-08-12T10:52:51.755205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.930997Z digest=sha256:250667e9c894b80ed813ef78717e1a2989818ac55337f8bb2c08c6cc3ece7598

Observation 67fdfa60-1f67-4ad2-bbc9-3b484232727a · outbound

This paper cites Efficient recurrent architectures through activity sparsity and sparse back-propagation through time.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Efficient recurrent architectures through activity sparsity and sparse back-propagation through time

Reference 105

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unresolved
no resolver link, observed 2026-08-12T10:52:48.937104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.937104Z digest=sha256:1de0909e9ff50b63cb972bdaf73ef83bbd044e3664fbdee5e1e18494a3c79720

Observation a233f0c8-3c8f-4da8-8f5c-2f066d8df052 · outbound

This paper cites GET: Group Event Transformer for Event-Based Vision.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues GET: Group Event Transformer for Event-Based Vision

Reference 106

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no resolver link, observed 2026-08-12T10:52:48.943533Z

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source=arxiv_source observed=2026-08-12T10:52:48.943533Z digest=sha256:5cc7f74b84b4add2a797763b5c47716952baa43fd69a40f2a1491a497ca46cfe

Observation 2ec808e5-4946-4cc6-b6be-c68020aa537f · outbound

This paper cites EventDrop: data augmentation for event-based learning.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues EventDrop: data augmentation for event-based learning

Reference 107

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no resolver link, observed 2026-08-12T10:52:48.949103Z

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source=arxiv_source observed=2026-08-12T10:52:48.949103Z digest=sha256:9020907e9a00ab274e91cc88c155720e51362c9b6eb405b28b1fc26a1230ee41

Observation 0350661e-87c3-43a0-9a97-d28b829e9182 · outbound

This paper cites IEEE Transactions on Emerging Topics in Computing , author =.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues IEEE Transactions on Emerging Topics in Computing , author =

Reference 108

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no resolver link, observed 2026-08-12T10:52:48.955104Z

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source=arxiv_source observed=2026-08-12T10:52:48.955104Z digest=sha256:8d2d138a69d6eb94bbe375936fe12b05e0d9f0dce54d65995578c2fd1e8aaed5

Observation d6435bea-a478-4fd7-9efa-7cee4ffb2036 · outbound

This paper cites an unresolved cited work.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Unresolved cited work

Reference 109

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verified exact
doi, observed 2026-08-12T10:52:51.660722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.960699Z digest=sha256:f4d4ad403d64cbec1ca35064b42bfc893b8b0e5e5c192aaa658fca990c0d0ab7

Pith citing papers

No inbound Pith citation observations are available.