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Paper Citation Record · LEDGER

Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.18295.

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

pith.paper-citation-record.v1
2406.18295 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:23:22.147165Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:09:55.408041Z

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 88721f1c-9e3b-4895-9511-2e90c9c3b692 · inbound

Geospatial Foundation Models to Enable Progress on Sustainable Development Goals cites this paper.

Geospatial Foundation Models to Enable Progress on Sustainable Development Goals Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:23:22.147165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:23:22.147165Z digest=sha256:b78eb3601b8057388834241922cf745aa779185525322eb5635b3ff2caa7d1ac

Observation 9cabff5a-ceb8-4c8c-881a-6d0c24e08b9c · inbound

High-Resolution Live Fuel Moisture Content (LFMC) Maps for Wildfire Risk from Multimodal Earth Observation Data cites this paper.

High-Resolution Live Fuel Moisture Content (LFMC) Maps for Wildfire Risk from Multimodal Earth Observation Data Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:39.914186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:59:39.914186Z digest=sha256:5398e215840c9f29c56e35da3647dd3e6c5c83fbb5014329107c5f49e8873766

Observation f04eb138-599c-45b8-8be9-541ff4455df2 · inbound

Flood Mapping from RGB imagery using a Vision Foundation Model cites this paper.

Flood Mapping from RGB imagery using a Vision Foundation Model Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:09:55.409992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T01:49:22.956918Z digest=sha256:de293a9804d218fe4bf09f3b58b79d066c69bb521744a0fe963db81872d33fc4