Paper Citation Record · LEDGER

Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.03505.

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

pith.paper-citation-record.v1
2106.03505 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T21:26:38.410299Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:27:59.572607Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 48e19393-13ee-453f-99ee-7e0fcce18054 · inbound

SS3D: End2End Self-Supervised 3D from Web Videos cites this paper.

SS3D: End2End Self-Supervised 3D from Web Videos Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:06:12.233523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 47ee444e-de34-4dc9-91fb-62aae4e537cd · inbound

SS3D: End2End Self-Supervised 3D from Web Videos cites this paper.

SS3D: End2End Self-Supervised 3D from Web Videos Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:46:30.183985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f2b04683-797e-4baa-8034-6cdb14d27b23 · inbound

SS3D: End2End Self-Supervised 3D from Web Videos cites this paper.

SS3D: End2End Self-Supervised 3D from Web Videos Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:27:59.574684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6527574b-4a7a-43ad-a620-53873b98385c · inbound

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions cites this paper.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:30:55.899089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.