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Paper Citation Record · LEDGER

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams

As of 8 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2508.12198.

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

pith.paper-citation-record.v1
2508.12198 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:38:16.112128Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

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  • verified fuzzy3
  • unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ffc02770-64c8-49ef-b2f0-a33291934cc1 · outbound

This paper cites VQA: Visual Question Answering.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams VQA: Visual Question Answering

Reference 1

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Observation 7fba6398-4f1f-4d80-b1d1-b894b2c3301d · outbound

This paper cites SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Reference 2

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Observation 74bc3e6d-4652-4e7c-a883-7796216781b2 · outbound

This paper cites Small Language Models are the Future of Agentic AI.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams Small Language Models are the Future of Agentic AI

Reference 3

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Observation 0b794cc3-fe79-4f07-8632-395333b46e4a · outbound

This paper cites Louradour, R.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams Louradour, R

Reference 4

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Source-reported events for the cited work

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Observation 5edc4e76-a978-41ef-9744-8d87eb89adca · outbound

This paper cites M., 2006: Pattern Recognition and Machine Learning.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams M., 2006: Pattern Recognition and Machine Learning

Reference 5

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 93275e92-eb94-4c00-98b3-0d38b65b59dc · outbound

This paper cites Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?

Reference 6

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Observation 54e0e3a0-8285-4c42-a6e2-c29623db4650 · outbound

This paper cites L., 1959: Introduction to Theoretical Meteorology.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams L., 1959: Introduction to Theoretical Meteorology

Reference 7

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cdc5d33b-05de-4c97-94e7-a89cc052b89c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams LoRA: Low-Rank Adaptation of Large Language Models

Reference 8

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Observation 4a608d7f-d341-44b9-bc95-1a233460d61f · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 9

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Observation 52070b9a-9bda-4190-bd98-2f2bb6b8afaf · outbound

This paper cites SmolVLM: Redefining small and efficient multimodal models.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams SmolVLM: Redefining small and efficient multimodal models

Reference 10

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Observation 09daca64-12c2-411f-9ed3-39d18f35f007 · outbound

This paper cites B., Jr., 1962: The serial position effect of free recall.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams B., Jr., 1962: The serial position effect of free recall

Reference 11

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Observation 2a797309-cda9-4104-bff6-5cea08aaa5e5 · outbound

This paper cites Automatic Curriculum Learning For Deep RL: A Short Survey.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 12

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Observation 3b189d4f-1234-4794-abaa-fedfd7713168 · outbound

This paper cites an unresolved cited work.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams Unresolved cited work

Reference 13

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Observation e570f4ce-8f82-4d67-be81-baa6da774c01 · outbound

This paper cites Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

Reference 14

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Observation fdc7fe45-bc03-4dba-9880-f9452e5fac2d · outbound

This paper cites Attention Is All You Need.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams Attention Is All You Need

Reference 15

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Observation a3409153-8f16-4ce9-b1ec-e97715e14118 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 16

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Observation 468883d2-82b2-42b6-ab54-82a2aef925b0 · outbound

This paper cites S., 1995: Statistical Methods in the Atmospheric Sciences: An Introduction.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams S., 1995: Statistical Methods in the Atmospheric Sciences: An Introduction

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 02f1a2a0-761c-45c1-81c8-757d69524cb4 · outbound

This paper cites Bundy, S.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams Bundy, S

Reference 18

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Pith citing papers

No inbound Pith citation observations are available.