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Paper Citation Record · LEDGER

RSVQA: Visual Question Answering for Remote Sensing Data

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2003.07333.

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

pith.paper-citation-record.v1
2003.07333 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T20:55:38.841743Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T20:59:27.777801Z

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 e1e03786-9d79-408d-9bb0-6bbabac06569 · inbound

Agentic AI for Remote Sensing: Technical Challenges and Research Directions cites this paper.

Agentic AI for Remote Sensing: Technical Challenges and Research Directions RSVQA: Visual Question Answering for Remote Sensing Data

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:46:25.884383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T04:29:22.477531Z digest=sha256:8e9eee5b3840ce584ec192a140a550c1e672bf6857599f316b46afd91f7e2796

Observation fc67fdae-57fe-4c6e-b483-a8ae13660993 · inbound

Agentic AI for Remote Sensing: Technical Challenges and Research Directions cites this paper.

Agentic AI for Remote Sensing: Technical Challenges and Research Directions RSVQA: Visual Question Answering for Remote Sensing Data

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:59:27.780791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-14T20:55:38.841743Z digest=sha256:414cc654ae827468577ccb661d09328cdd83716145ae7bcc95573fe9e4fccc1e