Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1711.03665.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:05:57.494532Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:36:26.845589Z
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 847d231e-f95a-4651-9dbe-bcd334d47235 · inbound
Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors cites this paper.
Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:05:57.494532Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation adb39f90-88a5-48bf-89fe-dd3f362cbc96 · inbound
Improved monocular depth prediction using distance transform over pre-semantic contours with self-supervised neural networks cites this paper.
Improved monocular depth prediction using distance transform over pre-semantic contours with self-supervised neural networks Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T22:19:57.869395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.