Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-18T19:16:51.081921Z
Paper Citation Record · LEDGER
Automated Wildfire Damage Assessment from Multi view Ground level Imagery Via Vision Language Models
As of 10 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 1 inbound Pith citation observation for arXiv:2509.01895.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T14:23:09.364871Z
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 8078f0aa-0f3e-4a05-9ebf-6eb5635384b6 · outbound
This paper cites R., Rahaman, K.
Automated Wildfire Damage Assessment from Multi view Ground level Imagery Via Vision Language Models R., Rahaman, K
Reference 1
- Resolution
- verified exact
- doi, observed 2026-05-18T19:21:46.787998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0c520e98-73ab-4880-a385-38d474d7224c · outbound
This paper cites an unresolved cited work.
Automated Wildfire Damage Assessment from Multi view Ground level Imagery Via Vision Language Models Unresolved cited work
Reference 2
- Resolution
- verified exact
- doi, observed 2026-05-18T19:21:46.792231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
Observation 81bd794b-b0cb-49fb-a43d-c4f4b66ef712 · inbound
GraphFire-X: Physics-Informed Graph Attention Networks and Structural Gradient Boosting for Building-Scale Wildfire Preparedness at the Wildland-Urban Interface cites this paper.
GraphFire-X: Physics-Informed Graph Attention Networks and Structural Gradient Boosting for Building-Scale Wildfire Preparedness at the Wildland-Urban Interface Automated Wildfire Damage Assessment from Multi view Ground level Imagery Via Vision Language Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T14:23:09.364871Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.