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Paper Citation Record · LEDGER

Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.11844.

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

pith.paper-citation-record.v1
2401.11844 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:39:18.612868Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:01:26.313659Z

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 a2384f7c-695d-4721-a609-7032766e9657 · 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 Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T22:39:18.612868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:39:18.612868Z digest=sha256:7337b374a0fcba05f0e89fbdf1fdb5945d73385d061fa4b1f44fce8952211617

Observation 7fb2f604-9bd9-4e3e-9c0c-b2c7bf0a89bb · inbound

Attention-based Multi-modal Deep Learning Model of Spatio-temporal Crop Yield Prediction with Satellite, Soil and Climate Data cites this paper.

Attention-based Multi-modal Deep Learning Model of Spatio-temporal Crop Yield Prediction with Satellite, Soil and Climate Data Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:01:26.324570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T02:25:29.307406Z digest=sha256:17de69bf6cd750c2f543250ebc0bf978acdc3bb69d5cb8376d377188f562be6f