Paper Citation Record · LEDGER

EarthNets: Empowering AI in Earth Observation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2210.04936.

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

pith.paper-citation-record.v1
2210.04936 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:53.796800Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:35:46.142258Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 0222f482-3379-4dda-a424-a4dd1b8dc624 · inbound

MultiMAE Meets Earth Observation: Pre-training Multi-modal Multi-task Masked Autoencoders for Earth Observation Tasks cites this paper.

MultiMAE Meets Earth Observation: Pre-training Multi-modal Multi-task Masked Autoencoders for Earth Observation Tasks EarthNets: Empowering AI in Earth Observation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:53.796800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43aab4db-a5c4-463e-bdf8-2b815cc304d3 · inbound

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval cites this paper.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval EarthNets: Empowering AI in Earth Observation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:26.139458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dbc0fcd-e689-4047-9c5d-a49e326489f4 · inbound

How to Embed Matters: Evaluation of EO Embedding Design Choices cites this paper.

How to Embed Matters: Evaluation of EO Embedding Design Choices EarthNets: Empowering AI in Earth Observation

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:45:52.231847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6ce4daaf-a825-4b09-a2e3-e1016946eca4 · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery EarthNets: Empowering AI in Earth Observation

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:08:03.478200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a953d5ca-cca0-4d0b-b698-7b6187cfefc3 · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery EarthNets: Empowering AI in Earth Observation

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:35:46.143943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7d768e8b-9974-4dc1-83ae-5c917b365ec5 · inbound

EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation cites this paper.

EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation EarthNets: Empowering AI in Earth Observation

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:43:14.865599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5543a981-7528-4e20-ac4c-c4a749ea6329 · inbound

OVEarth-Bench: Evaluating Category Breadth and Query Diversity for Open-Vocabulary Earth Observation cites this paper.

OVEarth-Bench: Evaluating Category Breadth and Query Diversity for Open-Vocabulary Earth Observation EarthNets: Empowering AI in Earth Observation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-01T10:36:36.777858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bb77416-ee2b-4e6e-a1fc-bba174aaf78d · inbound

OVEarth-Bench: Evaluating Category Breadth and Query Diversity for Open-Vocabulary Earth Observation cites this paper.

OVEarth-Bench: Evaluating Category Breadth and Query Diversity for Open-Vocabulary Earth Observation EarthNets: Empowering AI in Earth Observation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T03:22:36.500374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.