Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.11384.
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 2026-08-10T22:39:18.621311Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T22:05:11.523308Z
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 899a33e3-4d0c-4837-85d5-851f3cdae9e5 · inbound
Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach cites this paper.
Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:39:18.621311Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37639cf8-7834-4a5c-bf33-9c94ed169d66 · inbound
On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation? cites this paper.
On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation? Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:05:11.527496Z
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.