Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1806.01260.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:03:10.129567Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T19:21:09.774047Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 885ad6b1-15c6-4b89-8e8c-2f266b4ab5e8 · inbound
SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generative Adversarial Networks Digging Into Self-Supervised Monocular Depth Estimation
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 62ecf9bc-591f-479e-bb2d-0d60479bda0e · inbound
StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Digging Into Self-Supervised Monocular Depth Estimation
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70c2d526-6c33-4aa4-a68b-ffc2383153e9 · inbound
Edit in 2D, Verify in 3D: Reinforcement Learning for Multi-view Consistent Scene Editing Digging Into Self-Supervised Monocular Depth Estimation
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb07309c-1250-4829-be05-87d440c56762 · inbound
Zero-shot World Models Are Developmentally Efficient Learners Digging Into Self-Supervised Monocular Depth Estimation
Reference 61
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.