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Paper Citation Record · LEDGER

Regression in EO: Are VLMs Up to the Challenge?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.14088.

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

pith.paper-citation-record.v1
2502.14088 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:10:57.580373Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T20:58:31.937890Z

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 84c0b498-b7a4-40ae-893a-5076fbf49f16 · inbound

CLIPTime: Time-Aware Multimodal Representation Learning from Images and Text cites this paper.

CLIPTime: Time-Aware Multimodal Representation Learning from Images and Text Regression in EO: Are VLMs Up to the Challenge?

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T10:10:57.580373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:10:57.580373Z digest=sha256:349d17e2a8b3f102e8e896dbba08c9370f0ef12b762708634d00acb2a40e61b8

Observation d60dd37d-635f-4872-b121-fcd20a7a67ef · inbound

Towards Generative Location Awareness for Disaster Response: A Probabilistic Cross-view Geolocalization Approach cites this paper.

Towards Generative Location Awareness for Disaster Response: A Probabilistic Cross-view Geolocalization Approach Regression in EO: Are VLMs Up to the Challenge?

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:58:31.939844Z

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=2026-05-16T20:54:42.518228Z digest=sha256:b384d952f79ee5c4025e22ca119f8e921b4a097dc6e97c43324908a77af01cd0