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Paper Citation Record · LEDGER

Can Vision-Language Models Think from the Sky? Unifying UAV Reasoning and Generation

As of 5 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 1 inbound Pith citation observation for arXiv:2604.05377.

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

pith.paper-citation-record.v1
2604.05377 v2

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T19:53:38.941875Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:16:51.939495Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

2 of 2 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87766540-33de-4ba5-8ca0-89a0e534a5fd · outbound

This paper cites EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering.

Can Vision-Language Models Think from the Sky? Unifying UAV Reasoning and Generation EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:25:50.361156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:38.941875Z digest=sha256:a9f2e3141130a5eef2b2db2ce6ae449dcd0a3c342579b92e693172839ac5bcb4

Observation 13a20e70-c72b-45a9-a399-d8a43e1cae3b · outbound

This paper cites approaching.

Can Vision-Language Models Think from the Sky? Unifying UAV Reasoning and Generation approaching

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:25:50.351170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:38.941875Z digest=sha256:2f26e17d929b565ef5c16edef9433229c1a5a576b0b8964ae2055753149b030b

Pith citing papers

Observation 8dec1faf-bacc-4e28-a215-ddb6dc6e7b18 · inbound

RSVideo: Are Your Vision-Language Models Ready for Remote Sensing Videos? cites this paper.

RSVideo: Are Your Vision-Language Models Ready for Remote Sensing Videos? Can Vision-Language Models Think from the Sky? Unifying UAV Reasoning and Generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T16:16:51.939495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:16:51.939495Z digest=sha256:c638675750dd01f65d1aab6c7396c8999d2114810011f3922225c828fa4df8a8