Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2207.11166.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:39:13.230613Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T19:52:35.581214Z
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 e317c173-9150-4dd9-867c-4332ad62f42b · inbound
Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives cites this paper.
Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping
Reference 224
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:39:13.230613Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51d48c8a-48b8-4d32-99bb-97de27ae9e6e · inbound
Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling cites this paper.
Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:22:40.908652Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07b3def5-0c09-4669-97f4-cfa0b14b9039 · inbound
CAFOSat: A Strongly Annotated Dataset for Infrastructure-Aware CAFO Mapping Using High-Resolution Imagery cites this paper.
CAFOSat: A Strongly Annotated Dataset for Infrastructure-Aware CAFO Mapping Using High-Resolution Imagery METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T19:52:35.582781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 13c35864-293d-4d93-8f3d-f21423e73453 · inbound
A Multimodal Dataset for Large Language Model Applications in the Energy Domain cites this paper.
A Multimodal Dataset for Large Language Model Applications in the Energy Domain METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T05:27:26.535257Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.