Paper Citation Record · LEDGER

VA-DepthNet: A Variational Approach to Single Image Depth Prediction

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.06556.

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

pith.paper-citation-record.v1
2302.06556 v2

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:23:27.292420Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T23:30:46.229569Z

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 96c0918e-d559-426f-80e4-c4d705366103 · inbound

CoL3D: Collaborative Learning of Single-view Depth and Camera Intrinsics for Metric 3D Shape Recovery cites this paper.

CoL3D: Collaborative Learning of Single-view Depth and Camera Intrinsics for Metric 3D Shape Recovery VA-DepthNet: A Variational Approach to Single Image Depth Prediction

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:27.292420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d195401-4eaa-4882-95bf-5a20e927f715 · inbound

Region-aware Depth Scale Adaptation with Sparse Measurements cites this paper.

Region-aware Depth Scale Adaptation with Sparse Measurements VA-DepthNet: A Variational Approach to Single Image Depth Prediction

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:53:58.237570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c63d059-8cbb-4409-990d-50c22c8164af · inbound

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving cites this paper.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving VA-DepthNet: A Variational Approach to Single Image Depth Prediction

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:30:46.231979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 154f1502-4012-4f19-8936-58740f2cc972 · inbound

Monocular Depth Estimation From the Perspective of Feature Restoration: A Diffusion Enhanced Depth Restoration Approach cites this paper.

Monocular Depth Estimation From the Perspective of Feature Restoration: A Diffusion Enhanced Depth Restoration Approach VA-DepthNet: A Variational Approach to Single Image Depth Prediction

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:41:55.386706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.