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Paper Citation Record · LEDGER

MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.13430.

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

pith.paper-citation-record.v1
2403.13430 v2

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:54:18.323470Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T07:32:59.920565Z

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 d3bb0a22-034b-400b-92d2-b7d7d7946915 · inbound

TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis cites this paper.

TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:32:59.922293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T07:32:55.811041Z digest=sha256:a190eec1af10107f5c873a429265537effd682078fc3ae34cabaae92ecea3644

Observation b38c0578-dd8d-41b0-a095-0fb74670b65f · inbound

Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal cites this paper.

Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T16:54:18.323470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:54:18.323470Z digest=sha256:191e358fa5cfadb3c246d7a80dea4c35bee8a3d2093426a2f10249ed682e5ad0