Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DeepSphere: a graph-based spherical CNN
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2012.15000.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:23:10.453986Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
17
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 8da4abb2-dc82-4105-816c-922da1baf066 · inbound
The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases cites this paper.
The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases DeepSphere: a graph-based spherical CNN
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:23:10.453986Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 876cac43-6d4b-4192-a86e-d83f38cc8c87 · inbound
Deep Learning for CMB Foreground Removal and Beam Deconvolution: A U-Net GAN Approach cites this paper.
Deep Learning for CMB Foreground Removal and Beam Deconvolution: A U-Net GAN Approach DeepSphere: a graph-based spherical CNN
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T20:06:50.214574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fef07878-80af-4c40-b3fe-1dc8a8b0f92e · inbound
Dark Energy Survey Year 3 results: optimized $w$CDM simulation-based inference with weak lensing map-level hybrid statistics cites this paper.
Dark Energy Survey Year 3 results: optimized $w$CDM simulation-based inference with weak lensing map-level hybrid statistics DeepSphere: a graph-based spherical CNN
Reference 124
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-27T12:00:53.224806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9b8bcfc6-101d-474c-ba40-150d6aeb6f98 · inbound
Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling cites this paper.
Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling DeepSphere: a graph-based spherical CNN
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T20:03:56.675267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 44b9ffdd-f42d-4602-9d13-d35ffc26dca8 · inbound
Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling cites this paper.
Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling DeepSphere: a graph-based spherical CNN
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T09:58:47.668297Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.