Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
WeatherQA: Can Multimodal Language Models Reason about Severe Weather?
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.11217.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:41.827755Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T13:58:22.206084Z
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 93e70b19-314a-48b5-acf5-924ffa0a41da · inbound
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models WeatherQA: Can Multimodal Language Models Reason about Severe Weather?
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:39:41.827755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7878ac18-000f-445b-9b0b-5db58e6285d1 · inbound
K-MetBench: A Multi-Dimensional Benchmark for Fine-Grained Evaluation of Expert Reasoning, Locality, and Multimodality in Meteorology cites this paper.
K-MetBench: A Multi-Dimensional Benchmark for Fine-Grained Evaluation of Expert Reasoning, Locality, and Multimodality in Meteorology WeatherQA: Can Multimodal Language Models Reason about Severe Weather?
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T22:06:14.670213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0dcd8954-7a82-451d-834d-d06404547e33 · inbound
WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation cites this paper.
WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation WeatherQA: Can Multimodal Language Models Reason about Severe Weather?
Reference 93
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T04:10:56.241335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b0b3729b-d827-4d20-a7bd-ef86cb820928 · inbound
Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.
Earth Science Foundation Models: From Perception to Reasoning and Discovery WeatherQA: Can Multimodal Language Models Reason about Severe Weather?
Reference 163
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:08:03.236622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 458a1c2a-1929-440e-9242-d1c58cb3f2e0 · inbound
Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.
Earth Science Foundation Models: From Perception to Reasoning and Discovery WeatherQA: Can Multimodal Language Models Reason about Severe Weather?
Reference 163
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T13:35:46.120910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9c61190f-0bfd-42b1-87ef-8b969f7badef · inbound
LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding cites this paper.
LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding WeatherQA: Can Multimodal Language Models Reason about Severe Weather?
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T17:53:46.753205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8d3695a2-adf3-4e47-8b20-b6d40618abbf · inbound
TerraBench: Can Agents Reason Over Heterogeneous Earth-System Data? cites this paper.
TerraBench: Can Agents Reason Over Heterogeneous Earth-System Data? WeatherQA: Can Multimodal Language Models Reason about Severe Weather?
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T13:58:22.207752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 95cd8ace-0269-4546-b22c-14b1aff8aa8b · inbound
TerraBench: Can Agents Reason Over Heterogeneous Earth-System Data? cites this paper.
TerraBench: Can Agents Reason Over Heterogeneous Earth-System Data? WeatherQA: Can Multimodal Language Models Reason about Severe Weather?
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:37:25.463278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b6c955e3-ec14-4e90-8f9c-5ca098a65098 · inbound
SIREN: Towards End-to-End Extreme-Weather Early Warning with Experience-Grounded LLM Agents cites this paper.
SIREN: Towards End-to-End Extreme-Weather Early Warning with Experience-Grounded LLM Agents WeatherQA: Can Multimodal Language Models Reason about Severe Weather?
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T11:14:10.364730Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.