Paper Citation Record · LEDGER

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model

As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2507.13145.

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

pith.paper-citation-record.v1
2507.13145 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:34:17.729197Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

42 of 42 outbound references displayed

verified exact1
verified fuzzy33
unresolved8
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 361460f0-99c9-4181-85d6-13e2b0ac6abf · outbound

This paper cites Orb-slam3: An accurate open-source library for visual, visual– inertial, and multimap slam,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Orb-slam3: An accurate open-source library for visual, visual– inertial, and multimap slam,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:18.051094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cc987f3e-04b2-4a1b-b0f7-1271cabbe3d0 · outbound

This paper cites Direct sparse odometry,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Direct sparse odometry,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:18.043365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fbd0aa68-a1f1-4213-9163-e97b038b4b1b · outbound

This paper cites Gcnv2: Efficient correspondence prediction for real-time slam,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Gcnv2: Efficient correspondence prediction for real-time slam,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:18.035459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 71b5ad8c-50a9-4810-9a5f-43ab173ce09a · outbound

This paper cites Semantically guided feature matching for visual slam,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Semantically guided feature matching for visual slam,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:18.027909Z

Source-reported events for the cited work

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Observation e1c84a06-16d2-4595-9d52-1d65acebdb5e · outbound

This paper cites Deepvo: Towards end-to- end visual odometry with deep recurrent convolutional neural networks,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Deepvo: Towards end-to- end visual odometry with deep recurrent convolutional neural networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:18.020397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4fb32b39-8632-4861-8f9c-34b7e358ffbf · outbound

This paper cites Deepv2d: Video to depth with differentiable structure from motion,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Deepv2d: Video to depth with differentiable structure from motion,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:18.012401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1838dcc2-2ed7-4e82-8c43-f7b35028abcc · outbound

This paper cites Tartanvo: A generalizable learning- based vo,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Tartanvo: A generalizable learning- based vo,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:18.004727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c56f947c-8595-4bb1-831c-c849e3146995 · outbound

This paper cites Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:17.649411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51b62d8e-ce45-47ed-ab26-82f963a5ca40 · outbound

This paper cites Deep patch visual odometry,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Deep patch visual odometry,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:17.651658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0c96e32-8347-44ab-9764-993a5345fafb · outbound

This paper cites Deep Patch Visual SLAM,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Deep Patch Visual SLAM,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.987829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 467c2c9a-ab6b-47f5-88dd-da07f6a9757b · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Emerging properties in self-supervised vision transformers,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.980023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73b002ec-3d77-4ff3-a235-3fef7a58a4ea · outbound

This paper cites DINOv2: Learning robust visual features without supervision,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model DINOv2: Learning robust visual features without supervision,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.972253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4d37185c-3c79-427e-a922-cb1f3c963756 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model An image is worth 16x16 words: Trans- formers for image recognition at scale,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:17.661708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db8ed212-395a-4ac3-9700-1285cf151801 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Depth anything: Unleashing the power of large-scale unlabeled data,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.960082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c5bca584-23e5-464e-9dff-7d0cb7c1ce6e · outbound

This paper cites Roma: Robust dense feature matching,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Roma: Robust dense feature matching,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.951964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 33d206d7-7042-40f8-a9f7-c12806b804f7 · outbound

This paper cites Omniglue: Generalizable feature matching with foundation model guidance,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Omniglue: Generalizable feature matching with foundation model guidance,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.944179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7ba8b9f5-05a0-46c6-91f7-b05aaaf92966 · outbound

This paper cites Dino-tracker: Taming dino for self-supervised point tracking in a single video,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Dino-tracker: Taming dino for self-supervised point tracking in a single video,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.936047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a6ade03d-2e41-4665-a516-ccc35bb92c75 · outbound

This paper cites Anyloc: Towards universal visual place recognition,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Anyloc: Towards universal visual place recognition,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.928461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 12a51ff0-5f46-4596-a1c6-932a381fa179 · outbound

This paper cites Lightglue: Local feature matching at light speed,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Lightglue: Local feature matching at light speed,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.921022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4cd13f5f-1f13-4147-bf31-c09e56f6e9c1 · outbound

This paper cites Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:34:17.757631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 93aea44c-86c2-471a-a3e7-918b0c4501c2 · outbound

This paper cites End2end multi-view feature matching with differentiable pose optimization,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model End2end multi-view feature matching with differentiable pose optimization,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:17.680347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c11406a7-957e-4308-8621-cc7e82a3f2e8 · outbound

This paper cites D3vo: Deep depth, deep pose and deep uncertainty for monocular visual odometry,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model D3vo: Deep depth, deep pose and deep uncertainty for monocular visual odometry,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.908391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2a716dec-1e4d-4489-8752-39f60ff3d8be · outbound

This paper cites islam: Imperative slam,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model islam: Imperative slam,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.899977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0de44e1a-9e9b-40e2-9a43-887e6c176c70 · outbound

This paper cites Diffposenet: Direct differentiable camera pose estimation,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Diffposenet: Direct differentiable camera pose estimation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.892077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2b70f683-26a9-40bd-891f-040c6018f1ae · outbound

This paper cites Xvo: Generalized visual odometry via cross-modal self-training,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Xvo: Generalized visual odometry via cross-modal self-training,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.884368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 46f2058b-37e1-4a2f-83c2-8d0885a71a45 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for opti- cal flow,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Raft: Recurrent all-pairs field transforms for opti- cal flow,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.876527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0f2e4039-5fae-4b4f-a25c-70d8a0f99b32 · outbound

This paper cites Mambavo: Deep visual odometry based on sequential matching refinement and training smoothing,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Mambavo: Deep visual odometry based on sequential matching refinement and training smoothing,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.869159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 31389b1c-c5eb-4c4c-b5a5-b159a5a4c4bf · outbound

This paper cites Superpoint: Self- supervised interest point detection and description,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Superpoint: Self- supervised interest point detection and description,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:17.696860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c24065b-52fc-4bb6-bbc9-c25ba0d17db4 · outbound

This paper cites Xfeat: Accelerated features for lightweight image matching,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Xfeat: Accelerated features for lightweight image matching,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.856852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a0c1e8a1-0635-4f84-94a3-f462e4b645ef · outbound

This paper cites Superglue: Learning feature matching with graph neural networks,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Superglue: Learning feature matching with graph neural networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.849067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 83456328-cac4-4b9f-81e0-42819005f386 · outbound

This paper cites Roformer: En- hanced transformer with rotary position embedding,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Roformer: En- hanced transformer with rotary position embedding,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:17.703968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf9a916f-faca-44af-a6fd-dfb1aa3fa7d7 · outbound

This paper cites Hartley and A.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Hartley and A

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:17.706635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0326b6b3-05da-40b7-a69d-41968a7f6c64 · outbound

This paper cites Visual odometry revisited: What should be learnt?,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Visual odometry revisited: What should be learnt?,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.831892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7522ed11-a8b6-4917-a78c-0450cc375181 · outbound

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

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Tartanair: A dataset to push the limits of visual slam,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.824372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 40e0c50f-5094-4b79-91ec-8c09667f47ae · outbound

This paper cites Vision meets robotics: The kitti dataset,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Vision meets robotics: The kitti dataset,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:17.713410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e105f8-fd3f-4f87-b096-e09159c524c0 · outbound

This paper cites Svo: Semidirect visual odometry for monocular and multicamera sys- tems,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Svo: Semidirect visual odometry for monocular and multicamera sys- tems,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.811805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eaf1ccd5-42e7-46df-9d42-65f84e45e7bb · outbound

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

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Mac-vo: Metrics- aware covariance for learning-based stereo visual odometry,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.804549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f93d9640-d27f-4d79-8cdb-96f343832693 · outbound

This paper cites A new dense hybrid stereo visual odometry approach,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model A new dense hybrid stereo visual odometry approach,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.796848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 257737b7-a1c2-43ff-9ae7-0bf4d53cd09b · outbound

This paper cites Dualrefine: Self- supervised depth and pose estimation through iterative epipolar sampling and refinement toward equilibrium,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Dualrefine: Self- supervised depth and pose estimation through iterative epipolar sampling and refinement toward equilibrium,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.788893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bbe15b21-27cc-4b37-be22-b2bcb03dc647 · outbound

This paper cites Adaptive learning for hybrid visual odometry,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Adaptive learning for hybrid visual odometry,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.781379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 83d7d408-5f44-4684-9c8b-640f8d586fba · outbound

This paper cites Ldso: Direct sparse odometry with loop closure,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model Ldso: Direct sparse odometry with loop closure,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.773602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cf6c19c7-8f83-4afd-a45c-fbab6185e94c · outbound

This paper cites imatching: Imperative correspondence learning,.

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model imatching: Imperative correspondence learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:34:17.765862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.