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Paper Citation Record · LEDGER

EarthNets: Empowering AI in Earth Observation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:27:26.139458Z

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

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  • verified fuzzy0
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  • malformed identifier0
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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 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.

source=pdf_text observed=2026-08-04T09:27:26.139458Z digest=sha256:981c37e78396b43fceaeddac2ff90e03def3ea114c6643612dd2922efe3db462

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T13:42:21.480105Z digest=sha256:dc57d14b25398439daae47bd6e7b88725f4567e93092bd7900379e4312f52344

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-14T22:07:40.242567Z digest=sha256:05ffe429c38170f0a8be82e997ca8c797755569d66acd6c7bd0b53724d07fc33

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T23:07:21.558834Z digest=sha256:2da80f7fb0e2adc13b68524ebf1ab6637fe33a3c6d5edeb32a6a04ccf47c34b2

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T08:41:45.660534Z digest=sha256:42a2cd6b0c733bbefde074c8130b3c1c22fa09819ba6dcf46188cea6355fe82d

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.

source=pdf_text observed=2026-08-01T10:36:36.777858Z digest=sha256:a4b17e592147b30fa6f240bf35984d5b7d3e7408c356358919a77de415b30dae

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.

source=pdf_text observed=2026-08-04T03:22:36.500374Z digest=sha256:66c4866a5a6a8aa152d778bcbaafd048c9726845c380da9f71969ca248429db9