Paper Citation Record · LEDGER

DROID-ANCHOR: Odometry-Anchored Recurrent Metric Depth Estimation

As of 5 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.17058.

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

pith.paper-citation-record.v1
2607.17058 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:12:16.172769Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

12 of 12 outbound references displayed

verified exact0
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d89cec2a-3b62-4d2c-a0b3-619752caacff · outbound

This paper cites Vinet: visual-inertial odometry as a sequence-to-sequence learning problem.

DROID-ANCHOR: Odometry-Anchored Recurrent Metric Depth Estimation Vinet: visual-inertial odometry as a sequence-to-sequence learning problem

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T19:12:14.641556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3bd6cf5-ce67-4f0d-adde-4d4078605b79 · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision?Advances in neural information processing systems, 30, 2017.

DROID-ANCHOR: Odometry-Anchored Recurrent Metric Depth Estimation What uncertainties do we need in bayesian deep learning for computer vision?Advances in neural information processing systems, 30, 2017

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T19:12:14.732521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2457998-a59f-46a9-8737-ca49829539df · outbound

This paper cites Droid-slam in the wild, 2026.

DROID-ANCHOR: Odometry-Anchored Recurrent Metric Depth Estimation Droid-slam in the wild, 2026

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T19:12:14.788890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4321b50-c6ef-427a-94fb-93f394607ff6 · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

DROID-ANCHOR: Odometry-Anchored Recurrent Metric Depth Estimation Depth Anything 3: Recovering the Visual Space from Any Views

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T19:12:14.892255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b77df47c-28fa-45f2-b4e9-43585174fd43 · outbound

This paper cites Align3r: Aligned monocular depth estimation for dynamic videos.

DROID-ANCHOR: Odometry-Anchored Recurrent Metric Depth Estimation Align3r: Aligned monocular depth estimation for dynamic videos

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T19:12:15.033819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8b7ef4c-f74b-4bee-815b-92de3181504e · outbound

This paper cites an unresolved cited work.

DROID-ANCHOR: Odometry-Anchored Recurrent Metric Depth Estimation Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T19:12:15.184651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed050ab2-c6b9-4c29-8c91-cd432ede4f7f · outbound

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

DROID-ANCHOR: Odometry-Anchored Recurrent Metric Depth Estimation Mac-vo: Metrics-aware covariance for learning-based stereo visual odometry

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T19:12:15.315792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce98d1dc-f3a9-4876-b0d2-ad760825395e · outbound

This paper cites Sturm, N.

DROID-ANCHOR: Odometry-Anchored Recurrent Metric Depth Estimation Sturm, N

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T19:12:15.458579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3c30a56-f95b-4645-9d63-e55c2d981f8f · outbound

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

DROID-ANCHOR: Odometry-Anchored Recurrent Metric Depth Estimation Droid-slam: deep visual slam for monocular, stereo, and rgb-d cameras

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T19:12:15.603980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 681ac77d-fe22-44ff-bfb7-95be3d9f1506 · outbound

This paper cites Vggt: Visual geometry grounded transformer.

DROID-ANCHOR: Odometry-Anchored Recurrent Metric Depth Estimation Vggt: Visual geometry grounded transformer

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T19:12:15.778507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cfdec08-5736-4742-a8b7-39765eb389f7 · outbound

This paper cites Dust3r: Geometric 3d vision made easy.2024 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR), pages 20697– 20709, 2023.

DROID-ANCHOR: Odometry-Anchored Recurrent Metric Depth Estimation Dust3r: Geometric 3d vision made easy.2024 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR), pages 20697– 20709, 2023

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T19:12:15.951233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88cf23b3-f1fe-41db-a475-0500683db92e · outbound

This paper cites Mogs: Monocular object-guided gaussian splatting in large scenes, 2026.

DROID-ANCHOR: Odometry-Anchored Recurrent Metric Depth Estimation Mogs: Monocular object-guided gaussian splatting in large scenes, 2026

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T19:12:16.172769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.