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Paper Citation Record · LEDGER

Deep Visual Odometry for Stereo Event Cameras

As of 17 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2509.08235.

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

pith.paper-citation-record.v1
2509.08235 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:02:39.418759Z

measured 38 of 38 standing notices

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

38 of 38 outbound references displayed

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  • verified fuzzy19
  • unresolved17
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fbd37240-9988-4a95-a501-e1b00ffdfc2f · outbound

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

Deep Visual Odometry for Stereo Event Cameras DSEC: A stereo event camera dataset for driving scenarios,

Reference 1

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Observation d81996c1-cea7-4767-9100-867bfca90873 · outbound

This paper cites LIO-SAM: Tightly-coupled lidar inertial odometry via smoothing and mapping,.

Deep Visual Odometry for Stereo Event Cameras LIO-SAM: Tightly-coupled lidar inertial odometry via smoothing and mapping,

Reference 2

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Observation c1609307-19f3-4ea1-8c3f-4fe9e9b19a3d · outbound

This paper cites Esvo2: Direct visual-inertial odometry with stereo event cameras,.

Deep Visual Odometry for Stereo Event Cameras Esvo2: Direct visual-inertial odometry with stereo event cameras,

Reference 3

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Observation 3ef1bde7-babb-40f9-9574-8c384f399954 · outbound

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

Deep Visual Odometry for Stereo Event Cameras A 128×128 120 dB 15µs latency asynchronous temporal contrast vision sensor,

Reference 4

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Observation 27a293bb-e811-446f-b983-80e8d7949446 · outbound

This paper cites Event-based, 6-DOF camera tracking from photometric depth maps,.

Deep Visual Odometry for Stereo Event Cameras Event-based, 6-DOF camera tracking from photometric depth maps,

Reference 5

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Observation 1f5648c0-9872-42d1-bd75-f4164ceb7f2c · outbound

This paper cites Continuous- time visual-inertial odometry for event cameras,.

Deep Visual Odometry for Stereo Event Cameras Continuous- time visual-inertial odometry for event cameras,

Reference 6

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Observation 189c73b5-d886-4736-a765-acc8dc84b374 · outbound

This paper cites Asynchronous blob tracker for event cameras,.

Deep Visual Odometry for Stereo Event Cameras Asynchronous blob tracker for event cameras,

Reference 7

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Observation 01b594cd-0da2-405a-a808-ce6051d0a179 · outbound

This paper cites EMVS: Event-based multi-view stereo—3D reconstruction with an event camera in real-time,.

Deep Visual Odometry for Stereo Event Cameras EMVS: Event-based multi-view stereo—3D reconstruction with an event camera in real-time,

Reference 8

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Observation 78169ce0-96ae-4534-874b-77a152f1ae38 · outbound

This paper cites Ultimate SLAM? combining events, images, and IMU for robust visual SLAM in HDR and high speed scenarios,.

Deep Visual Odometry for Stereo Event Cameras Ultimate SLAM? combining events, images, and IMU for robust visual SLAM in HDR and high speed scenarios,

Reference 9

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Observation 108d9b7e-4851-4535-98be-b271b3dc11bc · outbound

This paper cites Learning monocular dense depth from events,.

Deep Visual Odometry for Stereo Event Cameras Learning monocular dense depth from events,

Reference 10

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

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Observation efd83913-6e3c-4ab1-94e7-7b63fc911a9e · outbound

This paper cites CMax-SLAM: Event-based rotational-motion bundle adjustment and SLAM system using contrast maximization,.

Deep Visual Odometry for Stereo Event Cameras CMax-SLAM: Event-based rotational-motion bundle adjustment and SLAM system using contrast maximization,

Reference 11

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Observation 0ee978a8-bf11-44a9-97fa-736936b859c4 · outbound

This paper cites Deep event visual odometry,.

Deep Visual Odometry for Stereo Event Cameras Deep event visual odometry,

Reference 12

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Source-reported events for the cited work

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

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Observation fad45556-aecc-4a6c-bea2-b8ffc33340a6 · outbound

This paper cites Event-based stereo visual odometry,.

Deep Visual Odometry for Stereo Event Cameras Event-based stereo visual odometry,

Reference 13

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Observation 30855259-189d-4cb0-96e8-90c8f4ca0b55 · outbound

This paper cites ESVIO: Event-based stereo visual inertial odometry,.

Deep Visual Odometry for Stereo Event Cameras ESVIO: Event-based stereo visual inertial odometry,

Reference 14

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Observation f174be60-c8e8-4eaa-bf06-2e96593bf505 · outbound

This paper cites ES-PTAM: Event-based stereo parallel tracking and mapping,.

Deep Visual Odometry for Stereo Event Cameras ES-PTAM: Event-based stereo parallel tracking and mapping,

Reference 15

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Observation 76aeb11a-c2a3-440f-8ce4-a1f1ff4ddbdb · outbound

This paper cites A combined corner and edge detector,.

Deep Visual Odometry for Stereo Event Cameras A combined corner and edge detector,

Reference 16

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Observation 2639772f-19d2-4700-a0a4-62519f03cee6 · outbound

This paper cites Machine learning for high-speed corner detection,.

Deep Visual Odometry for Stereo Event Cameras Machine learning for high-speed corner detection,

Reference 17

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Observation c86a47cf-b79a-4f60-be0d-81521b748754 · outbound

This paper cites Asynchronous corner detection and tracking for event cameras in real time,.

Deep Visual Odometry for Stereo Event Cameras Asynchronous corner detection and tracking for event cameras in real time,

Reference 18

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Observation 87e741e8-6d52-4a78-ba30-515f9106d07d · outbound

This paper cites FA-Harris: A fast and asynchronous corner detector for event cameras,.

Deep Visual Odometry for Stereo Event Cameras FA-Harris: A fast and asynchronous corner detector for event cameras,

Reference 19

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Observation b572320e-252f-4f06-af10-ecd6fa2831f2 · outbound

This paper cites A robust o (n) solution to the perspective-n- point problem,.

Deep Visual Odometry for Stereo Event Cameras A robust o (n) solution to the perspective-n- point problem,

Reference 20

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Source-reported events for the cited work

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

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Observation d714f4a9-8509-4ece-80eb-aebf29a1e140 · outbound

This paper cites Feature- based event stereo visual odometry,.

Deep Visual Odometry for Stereo Event Cameras Feature- based event stereo visual odometry,

Reference 21

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Observation c6384de1-aaf3-4d19-a6dc-4d96bcdc40cf · outbound

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

Deep Visual Odometry for Stereo Event Cameras A unifying contrast maximization framework for event cameras, with applications to motion, depth, and optical flow estimation,

Reference 22

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Observation e3ee270b-982e-41d7-bb2d-cf3c468a5252 · outbound

This paper cites Event-based visual inertial odometry,.

Deep Visual Odometry for Stereo Event Cameras Event-based visual inertial odometry,

Reference 23

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Observation 81d2ca16-4fee-4e98-95ae-bef71776472d · outbound

This paper cites Keyframe-based visual-inertial SLAM using nonlinear optimization,.

Deep Visual Odometry for Stereo Event Cameras Keyframe-based visual-inertial SLAM using nonlinear optimization,

Reference 24

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Observation e5c9e065-09ca-4300-a12d-b0ebd2d76c10 · outbound

This paper cites Real-time 3D reconstruc- tion and 6-DoF tracking with an event camera,.

Deep Visual Odometry for Stereo Event Cameras Real-time 3D reconstruc- tion and 6-DoF tracking with an event camera,

Reference 25

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Observation b4cc408f-3676-4484-89b9-1ac440e47a4e · outbound

This paper cites EVO: A geometric approach to event-based 6-DOF parallel tracking and mapping in real-time,.

Deep Visual Odometry for Stereo Event Cameras EVO: A geometric approach to event-based 6-DOF parallel tracking and mapping in real-time,

Reference 26

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Observation 227d301d-9f78-47e0-a1de-06b8860913a4 · outbound

This paper cites Multi-event-camera depth estimation and outlier rejection by refocused events fusion,.

Deep Visual Odometry for Stereo Event Cameras Multi-event-camera depth estimation and outlier rejection by refocused events fusion,

Reference 27

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Observation d6833260-90f7-4177-8038-68ec39a906f6 · outbound

This paper cites IMU-aided event-based stereo visual odometry,.

Deep Visual Odometry for Stereo Event Cameras IMU-aided event-based stereo visual odometry,

Reference 28

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Observation d75aefdc-54d3-463e-a048-05861cc76a52 · outbound

This paper cites Unsupervised event- based learning of optical flow, depth, and egomotion,.

Deep Visual Odometry for Stereo Event Cameras Unsupervised event- based learning of optical flow, depth, and egomotion,

Reference 29

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raw_fallback, observed 2026-08-04T21:02:39.557492Z

Source-reported events for the cited work

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

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Observation 0fbabae1-cd71-4e78-a85e-e1dc57fe8728 · outbound

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

Deep Visual Odometry for Stereo Event Cameras Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from Sparse Event Data

Reference 30

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local_arxiv, observed 2026-08-04T21:02:39.473715Z

Source-reported events for the cited work

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

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Observation 3d78e5eb-99bf-47eb-99c9-59b59e92080a · outbound

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

Deep Visual Odometry for Stereo Event Cameras The multivehicle stereo event camera dataset: An event camera dataset for 3D perception,

Reference 31

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-04T21:02:39.209405Z digest=sha256:b7a8f5e0d47f704312fdd697a7612f9855d2c27ab97f23fcf4b9f7eb67a4e7bd

Observation 809f3428-3606-4756-b795-0b572851b8e6 · outbound

This paper cites Deep patch visual odometry,.

Deep Visual Odometry for Stereo Event Cameras Deep patch visual odometry,

Reference 32

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raw_fallback, observed 2026-08-04T21:02:39.537258Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-04T21:02:39.398219Z digest=sha256:bed8f55cd72c7aa60159df126886084245cf71d7673c226e3393d9e77e5a0766

Observation 6d2ed02e-1319-4840-93e4-9879bf5c1115 · outbound

This paper cites DEIO: Deep Event Inertial Odometry.

Deep Visual Odometry for Stereo Event Cameras DEIO: Deep Event Inertial Odometry

Reference 33

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local_arxiv, observed 2026-08-04T21:02:39.456574Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-04T21:02:39.401737Z digest=sha256:0d45a44e5281f962cef9217c9009156423bfa8a527c09e3b02ac9917ba80c7d9

Observation b97d63b8-b86c-4be9-bbd1-027931fb7687 · outbound

This paper cites Semi-dense 3D reconstruction with a stereo event camera,.

Deep Visual Odometry for Stereo Event Cameras Semi-dense 3D reconstruction with a stereo event camera,

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:02:39.405342Z digest=sha256:c0c3dd22f4aafc194b218a39058bc8d27c6d091dc80c097f8d86d02b2621840e

Observation 61e66a48-2240-4fa3-8775-f265b336892d · outbound

This paper cites VECtor: A versatile event-centric benchmark for multi-sensor slam,.

Deep Visual Odometry for Stereo Event Cameras VECtor: A versatile event-centric benchmark for multi-sensor slam,

Reference 35

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raw_fallback, observed 2026-08-04T21:02:39.518761Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-04T21:02:39.408519Z digest=sha256:f5ce8622e30e5793d879f76eba4877656d5723af267cc235688c18d18d1654ab

Observation 8440ce88-8d7a-482e-bd10-e3aec18e6232 · outbound

This paper cites Tum-vie: The tum stereo visual-inertial event dataset,.

Deep Visual Odometry for Stereo Event Cameras Tum-vie: The tum stereo visual-inertial event dataset,

Reference 36

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raw_fallback, observed 2026-08-04T21:02:39.506241Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-04T21:02:39.411676Z digest=sha256:359b258c7287221a78a36ed35f32a3ce02bafe9fa8e9c785e76f80fed9d4d2a4

Observation 0a10658e-3295-4707-a6a5-152c19d107eb · outbound

This paper cites A benchmark for the evaluation of RGB-D SLAM systems,.

Deep Visual Odometry for Stereo Event Cameras A benchmark for the evaluation of RGB-D SLAM systems,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:02:39.494370Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T21:02:39.415456Z digest=sha256:ab245998620b85415a1214b9e2cc0b4f9a7565fec4cf0c214881ba02dd143ddc

Observation 79e862c3-2a4d-4ace-b648-8fad097c0637 · outbound

This paper cites evo: Python package for the evaluation of odometry and slam.

Deep Visual Odometry for Stereo Event Cameras evo: Python package for the evaluation of odometry and slam

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T21:02:39.418759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:02:39.418759Z digest=sha256:4494427e40fd5400c9b4caa776dbb540eac6817fcfb1f93472dd980e7df0a7ab

Pith citing papers

No inbound Pith citation observations are available.