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Paper Citation Record · LEDGER

Localized, High-resolution Geographic Representations with Slepian Functions

As of 13 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2602.00392.

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

pith.paper-citation-record.v1
2602.00392 v2

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:09:41.819542Z

measured 3 of 3 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

3 of 3 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d86c0eed-8a82-4749-b9cc-9a3596e1e5cc · outbound

This paper cites Karimzadeh, M., Wang, Z., and Crooks, J.

Localized, High-resolution Geographic Representations with Slepian Functions Karimzadeh, M., Wang, Z., and Crooks, J

Reference 2002

Resolution
unresolved
no resolver link, observed 2026-08-03T06:09:41.773505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:09:41.773505Z digest=sha256:73f0b212564c91e768019ed1ac78d60b3e8d095236f4fbe3bc2e05504eede930

Observation 11e87d30-cec7-4679-9127-2419bed672fd · outbound

This paper cites Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas.

Localized, High-resolution Geographic Representations with Slepian Functions Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-03T06:09:41.819542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:09:41.819542Z digest=sha256:af135b2da4c88f75a7a70ded29f5664fbf599bf4eda61040397410fab666c5a8

Observation ae2db5f3-31f7-442e-8637-0a32966d25b8 · outbound

This paper cites Chen, W., Mahmood, A., Tsamados, M., and Takao, S.

Localized, High-resolution Geographic Representations with Slepian Functions Chen, W., Mahmood, A., Tsamados, M., and Takao, S

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T06:09:41.715712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:09:41.715712Z digest=sha256:5cf19955200e0069938a130416b9f6fb140fcfa9d098de751126741cb945e7b3

Pith citing papers

No inbound Pith citation observations are available.