Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2105.14520.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T16:41:08.983246Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T03:30:55.881655Z
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 5fdf0f87-c66e-4178-894d-bdf59ab13258 · inbound
DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild cites this paper.
DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:41:08.983246Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8de8166-ee75-45c3-8d16-b249d99726ab · 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 Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:30:55.885791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.