Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.01620.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T00:38:07.212137Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T01:07:30.069411Z
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 e52dc006-0e76-40ce-b626-839133daf715 · inbound
iSAGE: A Human-in-the-Loop Framework for Remote Sensing Semantic Segmentation via Sparse Point Supervision cites this paper.
iSAGE: A Human-in-the-Loop Framework for Remote Sensing Semantic Segmentation via Sparse Point Supervision Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision
Reference 92
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T01:07:30.070910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1e1aeff4-5300-4cc0-a481-fd8abf7564a2 · inbound
Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks cites this paper.
Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:38:07.212137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.