Paper Citation Record · LEDGER

DF-VO: What Should Be Learnt for Visual Odometry?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2103.00933.

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

pith.paper-citation-record.v1
2103.00933 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:48:50.230028Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T08:44:28.140012Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 38cb96e6-e60e-45a2-b274-137367b56fea · inbound

UNO: Unified Self-Supervised Monocular Odometry for Platform-Agnostic Deployment cites this paper.

UNO: Unified Self-Supervised Monocular Odometry for Platform-Agnostic Deployment DF-VO: What Should Be Learnt for Visual Odometry?

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T05:48:50.230028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f189d88-0fd6-45a3-a199-e2f1b154c5be · inbound

ZeroVO: Visual Odometry with Minimal Assumptions cites this paper.

ZeroVO: Visual Odometry with Minimal Assumptions DF-VO: What Should Be Learnt for Visual Odometry?

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:59.322448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3902ca7-4235-40df-ba29-81360f7f27b9 · inbound

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images cites this paper.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images DF-VO: What Should Be Learnt for Visual Odometry?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:18.997147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f7127d6-0a8e-4949-aac9-ff6f91da8041 · inbound

VGGT-Long: Chunk it, Loop it, Align it -- Pushing VGGT's Limits on Kilometer-scale Long RGB Sequences cites this paper.

VGGT-Long: Chunk it, Loop it, Align it -- Pushing VGGT's Limits on Kilometer-scale Long RGB Sequences DF-VO: What Should Be Learnt for Visual Odometry?

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-17T08:55:00.560542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f2fa2504-191e-4a32-97e4-b55e327317be · inbound

A Robust 5G Terrestrial Positioning System with Sensor Fusion in GNSS-denied Scenarios cites this paper.

A Robust 5G Terrestrial Positioning System with Sensor Fusion in GNSS-denied Scenarios DF-VO: What Should Be Learnt for Visual Odometry?

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:22:56.971334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7e0029e9-696d-4a88-8e3d-337aa9747a52 · inbound

DVLO4D: Deep Visual-Lidar Odometry with Sparse Spatial-temporal Fusion cites this paper.

DVLO4D: Deep Visual-Lidar Odometry with Sparse Spatial-temporal Fusion DF-VO: What Should Be Learnt for Visual Odometry?

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T04:41:51.663399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 427da955-e743-46ce-a339-def160f14a36 · inbound

Robust and Efficient Monocular 3D Gaussian SLAM for Kilometer-Scale Outdoor Scenes cites this paper.

Robust and Efficient Monocular 3D Gaussian SLAM for Kilometer-Scale Outdoor Scenes DF-VO: What Should Be Learnt for Visual Odometry?

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:44:28.141858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.