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Paper Citation Record · LEDGER

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift

As of 5 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.17956.

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

pith.paper-citation-record.v1
2607.17956 v1

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measured 52 of 52 reference resolution

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52 of 52 outbound references displayed

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Outbound references

Observation b4e49212-465c-407b-8709-e27366239936 · outbound

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

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Keyframe-based visual–inertial odometry using nonlinear optimization,

Reference 1

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Observation ec719c9e-cb81-490f-9a20-2e11f7c132f4 · outbound

This paper cites VINS-Mono: A robust and versatile monocular visual– inertial state estimator,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift VINS-Mono: A robust and versatile monocular visual– inertial state estimator,

Reference 2

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Observation 1d84fd1f-251b-4085-974d-82ab5ec50351 · outbound

This paper cites OpenVINS: A research platform for visual–inertial estimation,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift OpenVINS: A research platform for visual–inertial estimation,

Reference 3

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Observation 0c09358f-2838-4e11-a6dc-4fb404165261 · outbound

This paper cites Good features to track,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Good features to track,

Reference 4

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Observation be767ce4-65ab-470d-bf45-0cda73a5460c · outbound

This paper cites ORB: An efficient alternative to SIFT or SURF,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift ORB: An efficient alternative to SIFT or SURF,

Reference 5

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Observation a081315d-d544-4f1e-a1cd-fd9154d90169 · outbound

This paper cites Bundle adjustment: A modern synthesis,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Bundle adjustment: A modern synthesis,

Reference 6

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Observation 076df84c-06c4-4c87-b433-c00fddbc3bee · outbound

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Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Unresolved cited work

Reference 7

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Observation 81e81d58-6109-4487-a76f-d08d1ac1f548 · outbound

This paper cites Thrunet al.,Probabilistic Robotics.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Thrunet al.,Probabilistic Robotics

Reference 8

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Observation b44252f7-8778-4c0c-baa0-db3c2fda4307 · outbound

This paper cites Visual odometry: Part i: The first 30 years and fundamentals,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Visual odometry: Part i: The first 30 years and fundamentals,

Reference 9

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Observation 6e198966-c722-4e97-bed4-b1c27ef80d2d · outbound

This paper cites Visual odometry: Part ii: Matching, robustness, optimization, and applications,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Visual odometry: Part ii: Matching, robustness, optimization, and applications,

Reference 10

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Observation 7bd73739-6d89-4de0-a4a0-8b8818662f89 · outbound

This paper cites Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age,

Reference 11

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Observation 818f31cd-da47-4586-9409-a68e21ef8511 · outbound

This paper cites AirSLAM: An efficient and illumination-robust point-line visual SLAM system,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift AirSLAM: An efficient and illumination-robust point-line visual SLAM system,

Reference 12

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Observation a6177822-e23e-4136-860e-c8169e06f48e · outbound

This paper cites DROID-SLAM: Deep visual SLAM for monocular, stereo, and RGB-D cameras,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift DROID-SLAM: Deep visual SLAM for monocular, stereo, and RGB-D cameras,

Reference 13

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Observation bb97454a-3587-4e87-9c20-c98baa3340df · outbound

This paper cites Deep patch visual odometry,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Deep patch visual odometry,

Reference 14

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Observation 4c20ac07-fa03-4c41-8c53-26f3ace7d468 · outbound

This paper cites MASt3R-SLAM: Real-time dense SLAM with 3D reconstruction priors,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift MASt3R-SLAM: Real-time dense SLAM with 3D reconstruction priors,

Reference 15

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Observation 185fc524-9521-4cb6-be9c-1bcd552f4f10 · outbound

This paper cites VGGT: Visual geometry grounded transformer,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift VGGT: Visual geometry grounded transformer,

Reference 16

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Observation e5a8e8c4-74ec-4c0f-9565-ad9a072bafd0 · outbound

This paper cites TartanVO: A generalizable learning-based VO,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift TartanVO: A generalizable learning-based VO,

Reference 17

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Observation d21c3fdf-9a00-4d04-b80e-7ba59ba44d83 · outbound

This paper cites Mac-vo: Metrics-aware covariance for learning-based stereo visual odometry,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Mac-vo: Metrics-aware covariance for learning-based stereo visual odometry,

Reference 18

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Observation 4141db50-985c-402e-99d3-76ef234f8e95 · outbound

This paper cites Visual–inertial mapping with non-linear factor recov- ery,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Visual–inertial mapping with non-linear factor recov- ery,

Reference 19

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Observation d6a2ff59-fe67-40cf-9a82-323d1bbad8df · outbound

This paper cites SchurVINS: Schur complement-based lightweight visual inertial navigation system,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift SchurVINS: Schur complement-based lightweight visual inertial navigation system,

Reference 20

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Observation 68fa2d84-d603-4b5d-9a1c-74acf6c33004 · outbound

This paper cites RD-VIO: Robust visual–inertial odometry for mobile augmented reality in dynamic environments,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift RD-VIO: Robust visual–inertial odometry for mobile augmented reality in dynamic environments,

Reference 21

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Observation 352aab29-ff51-4a3a-9200-f8d4f76df5c4 · outbound

This paper cites OKVIS2: Realtime Scalable Visual-Inertial SLAM with Loop Closure.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift OKVIS2: Realtime Scalable Visual-Inertial SLAM with Loop Closure

Reference 22

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Observation ad1debd5-ff78-4808-99f6-452a7e72e138 · outbound

This paper cites DM-VIO: Delayed marginalization visual– inertial odometry,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift DM-VIO: Delayed marginalization visual– inertial odometry,

Reference 23

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Observation 4b424f84-074a-4753-8157-9bf84d40acc0 · outbound

This paper cites RAFT: Recurrent all-pairs field transforms for optical flow,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift RAFT: Recurrent all-pairs field transforms for optical flow,

Reference 24

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Observation 1e1b4a95-4a4b-41ad-be47-b655f196fd13 · outbound

This paper cites SEA-RAFT: Simple, efficient, accurate RAFT for optical flow,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift SEA-RAFT: Simple, efficient, accurate RAFT for optical flow,

Reference 25

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Observation bb5e7cdd-fc9d-48a4-8eb6-b7ee1f0a9c83 · outbound

This paper cites Visual–inertial odometry using optical flow from deep learning,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Visual–inertial odometry using optical flow from deep learning,

Reference 26

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Observation 06fbd8ee-cc44-40ea-a458-8e29efcb9184 · outbound

This paper cites DeepOF-VIO: A filter-based visual–inertial odometry using deep optical flow,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift DeepOF-VIO: A filter-based visual–inertial odometry using deep optical flow,

Reference 27

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Observation 672cc198-551c-424f-b1c9-781c78083bc1 · outbound

This paper cites D3VO: Deep depth, deep pose and deep uncertainty for monocular visual odometry,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift D3VO: Deep depth, deep pose and deep uncertainty for monocular visual odometry,

Reference 28

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Observation 2a542c51-86e0-4030-b860-eb6d2546417b · outbound

This paper cites Associating uncertainty with three-dimensional poses for use in estimation problems,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Associating uncertainty with three-dimensional poses for use in estimation problems,

Reference 29

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Observation e9904fe0-948f-4c41-bb79-a0b3cf4a897c · outbound

This paper cites Characterizing the uncertainty of jointly distributed poses in the lie algebra,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Characterizing the uncertainty of jointly distributed poses in the lie algebra,

Reference 30

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Observation 5fbde737-0575-42d2-bc0d-f73d3387d94c · outbound

This paper cites At all costs: A comparison of robust cost functions for camera correspondence outliers,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift At all costs: A comparison of robust cost functions for camera correspondence outliers,

Reference 31

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Observation e04ecdc1-eb3b-4635-81f5-923ba48df0f8 · outbound

This paper cites Graduated non-convexity for robust spatial perception: From non-minimal solvers to global outlier rejection,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Graduated non-convexity for robust spatial perception: From non-minimal solvers to global outlier rejection,

Reference 32

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Observation 43c79033-9982-4435-851b-bc7bdb16c0ed · outbound

This paper cites Consistency analysis and improvement of vision- aided inertial navigation,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Consistency analysis and improvement of vision- aided inertial navigation,

Reference 33

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Observation 689485bc-3734-4aa4-a63b-4d106fee40e1 · outbound

This paper cites On-manifold preintegration for real-time visual– inertial odometry,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift On-manifold preintegration for real-time visual– inertial odometry,

Reference 34

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Observation ee1d6d3d-21e1-4de4-96e3-6f592fa17782 · outbound

This paper cites Good feature selection for least squares pose optimiza- tion in VO/VSLAM,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Good feature selection for least squares pose optimiza- tion in VO/VSLAM,

Reference 35

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Observation ad46e46c-ff37-4a61-9351-99a99ef46bb6 · outbound

This paper cites Good feature matching: Toward accurate, robust VO/VSLAM with low latency,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Good feature matching: Toward accurate, robust VO/VSLAM with low latency,

Reference 36

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Observation b0791a4a-6413-472b-adc4-ad9235f9eb3e · outbound

This paper cites Information sparsification in visual–inertial odometry,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Information sparsification in visual–inertial odometry,

Reference 37

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Observation 96ec3086-1e3a-4382-a30b-d0f8c28e6c41 · outbound

This paper cites NeRF: Representing scenes as neural radiance fields for view synthesis,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift NeRF: Representing scenes as neural radiance fields for view synthesis,

Reference 38

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source=pdf_text observed=2026-08-01T16:35:19.782561Z digest=sha256:5c9a41c46377c1b9f36944a3b182ba8abbd2d8a051ebc98d35924e5aa5697c9a

Observation fe562c7c-e824-4733-9f0e-104a8197e8e6 · outbound

This paper cites TANDEM: Tracking and dense mapping in real-time using deep multi-view stereo,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift TANDEM: Tracking and dense mapping in real-time using deep multi-view stereo,

Reference 39

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source=pdf_text observed=2026-08-01T16:35:19.947908Z digest=sha256:e52efbd26f92947e3ee2764968eed0338b44072014e207c4310e364afb92d8f8

Observation 21441473-5805-4202-ac1a-b770dc788dbd · outbound

This paper cites 3D gaussian splatting for real-time radiance field rendering,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift 3D gaussian splatting for real-time radiance field rendering,

Reference 40

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source=pdf_text observed=2026-08-01T16:35:20.052319Z digest=sha256:bb246fd348bba8553171a027c84edc4eb76cb6ff96b5663ce8051fbcc551a874

Observation 2b162123-9263-44c5-ac5e-4b5195ac8659 · outbound

This paper cites Maplab: An open framework for research in visual– inertial mapping and localization,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Maplab: An open framework for research in visual– inertial mapping and localization,

Reference 41

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source=pdf_text observed=2026-08-01T16:35:20.156970Z digest=sha256:d63a8fc931920b84a30171cbfc5b05e2111f447e9763c786e00abf96ddaca64e

Observation f4daca12-0a8e-4f57-a1ab-2db8af40eb64 · outbound

This paper cites Visual–inertial odometry and active dense reconstruction for mobile robots,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Visual–inertial odometry and active dense reconstruction for mobile robots,

Reference 42

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source=pdf_text observed=2026-08-01T16:35:20.268356Z digest=sha256:2c63fa6c1137141d254186a9715abb48ce4a1a0cabbeb7f38d8b3f0cfd4b2029

Observation e6778f3e-51fd-4710-948f-cf9d8c18755f · outbound

This paper cites Motion tracking with fixed-lag smoothing: Algo- rithm and consistency analysis,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Motion tracking with fixed-lag smoothing: Algo- rithm and consistency analysis,

Reference 43

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source=pdf_text observed=2026-08-01T16:35:20.355200Z digest=sha256:ebc89d7bd87ef9f6ec4fcb8244d9447835576e27ef75284c9b2ba2272d92a41b

Observation aa0115bf-28f0-4859-b25c-dfbbef77694e · outbound

This paper cites Anysplat: Feed-forward 3d gaussian splatting from unconstrained views,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Anysplat: Feed-forward 3d gaussian splatting from unconstrained views,

Reference 44

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source=pdf_text observed=2026-08-01T16:35:20.434281Z digest=sha256:31b14c7b1e9b450e22a9d4b39ad5325b9249278e1e660d2e585f4e9899d4a811

Observation 95a81055-a921-42c5-afd2-149c287e8c1b · outbound

This paper cites The EuRoC micro aerial vehicle datasets,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift The EuRoC micro aerial vehicle datasets,

Reference 45

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source=pdf_text observed=2026-08-01T16:35:20.534688Z digest=sha256:2e9f13cc2ac41180185fbc63986e17e0449520ec264f46a5635291ecb677c3a9

Observation b182edbe-b9f3-4191-b6af-bbecc162c931 · outbound

This paper cites VIODE: A simulated dataset to address the challenges of visual–inertial odometry in dynamic environments,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift VIODE: A simulated dataset to address the challenges of visual–inertial odometry in dynamic environments,

Reference 46

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source=pdf_text observed=2026-08-01T16:35:20.622041Z digest=sha256:7106f82e5a57094722ad8593fcba7e710090f48f8c42c204d658c354b079e708

Observation a67064d1-7d31-43b0-9849-0b786ff7962e · outbound

This paper cites 4Seasons: A cross-season dataset for multi-weather SLAM in autonomous driving,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift 4Seasons: A cross-season dataset for multi-weather SLAM in autonomous driving,

Reference 47

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source=pdf_text observed=2026-08-01T16:35:20.708528Z digest=sha256:eae937552a7c6d6b35d520de82a5715a1ed640dda83d8e775be29b481da72160

Observation b2e6e5f5-e09b-4d68-a1da-bb242e4ac438 · outbound

This paper cites Tartanair: A dataset to push the limits of visual slam,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Tartanair: A dataset to push the limits of visual slam,

Reference 48

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source=pdf_text observed=2026-08-01T16:35:20.779578Z digest=sha256:cb8bc5497fa46105f1bccfa7c5223f39cdb5db113a736c4dbbadf4f6bbc4ea9f

Observation 96fbc5a7-3b83-40d2-bda8-39d062784c3f · outbound

This paper cites ORB-SLAM3: An accurate open-source library for visual, visual–inertial, and multimap SLAM,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift ORB-SLAM3: An accurate open-source library for visual, visual–inertial, and multimap SLAM,

Reference 49

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source=pdf_text observed=2026-08-01T16:35:20.861366Z digest=sha256:36c5ecdd65790af496de3cad3b7930dcf6b959354e22ff275692a61521ad4689

Observation 2b7ca6e2-36c8-4e84-8cd6-b641578b0d52 · outbound

This paper cites Dynavins: A visual-inertial slam for dynamic environ- ments,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Dynavins: A visual-inertial slam for dynamic environ- ments,

Reference 50

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source=pdf_text observed=2026-08-01T16:35:20.940471Z digest=sha256:c35d34ecf8992d0cd67cda2334c4f2c75f6f9f944d45e03c56766a232e5c75e2

Observation 5fe2e68f-e207-4ce2-8a3b-4a09c3c871a3 · outbound

This paper cites Vggt-slam: Dense rgb slam optimized on the sl (4) manifold,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift Vggt-slam: Dense rgb slam optimized on the sl (4) manifold,

Reference 51

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source=pdf_text observed=2026-08-01T16:35:21.066234Z digest=sha256:8505a7715006cde882affcacfce002d805ab40e0231a62ed2680d8a491e50e26

Observation 5ba77419-db9b-435f-8928-9557acd61627 · outbound

This paper cites A tutorial on quantitative trajectory evaluation for visual–inertial odometry,.

Does Robust VIO Need More Learning? Geometry-Verified Visual Measurements under Distribution Shift A tutorial on quantitative trajectory evaluation for visual–inertial odometry,

Reference 52

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source=pdf_text observed=2026-08-01T16:35:21.135143Z digest=sha256:0d1d661477d1313cb3dfea25e892ec3583b504529ed936222c7cbcd7522b1a06

Pith citing papers

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