Paper Citation Record · LEDGER

Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.01444.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.01444 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:05:28.249778Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-16T20:51:15.265583Z

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 d4e92e91-b5bc-4577-929e-e7b951b74aae · inbound

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps cites this paper.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T05:05:28.249778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d1ae07c-9b93-4f63-b572-eae8a77bce9a · inbound

Sims: An Interactive Tool for Geospatial Matching and Clustering cites this paper.

Sims: An Interactive Tool for Geospatial Matching and Clustering Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T16:18:25.669697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd84784e-c568-47d8-941d-d0c1e6bae4a6 · inbound

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation cites this paper.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T13:16:37.789443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 868af396-f5ad-451b-b84e-318bb8ae0a9b · 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 Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:18.651635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc7fc0f8-ebc4-479b-a468-5d186a469a35 · inbound

MMLANDMARKS: a Cross-View Instance-Level Benchmark for Geo-Spatial Understanding cites this paper.

MMLANDMARKS: a Cross-View Instance-Level Benchmark for Geo-Spatial Understanding Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:51:15.267183Z

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.

Observation 11775a3f-4b8c-490a-9fe8-22572ca44203 · inbound

Are Pretrained Image Matchers Good Enough for SAR-Optical Satellite Registration? cites this paper.

Are Pretrained Image Matchers Good Enough for SAR-Optical Satellite Registration? Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:55:59.491849Z

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.