Paper Citation Record · LEDGER

WeatherQA: Can Multimodal Language Models Reason about Severe Weather?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2406.11217.

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

pith.paper-citation-record.v1
2406.11217 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:04:33.987695Z

measured 0 of 1 external citation measurements

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 7db07d16-325e-4d3f-8734-a03156cf8242 · inbound

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models cites this paper.

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models WeatherQA: Can Multimodal Language Models Reason about Severe Weather?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T18:04:33.987695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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.