Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:40:58.283737Z
Paper Citation Record · LEDGER
Prototype-enhanced prediction in graph neural networks for climate applications
As of 17 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2504.17492.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
21 of 21 outbound references displayed
- verified exact1
- verified fuzzy12
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c6bf8879-b6cd-461f-afc1-82dc28c36392 · outbound
This paper cites A gentle introduction to deep learning for graphs.
Prototype-enhanced prediction in graph neural networks for climate applications A gentle introduction to deep learning for graphs
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:40:58.499974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f9afb72f-8cac-41ca-97c4-1cbe5f49c29e · outbound
This paper cites Relational inductive biases, deep learning, and graph networks.
Prototype-enhanced prediction in graph neural networks for climate applications Relational inductive biases, deep learning, and graph networks
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:40:58.218381Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9447bf3e-6bbf-4785-a781-9b92245b39bb · outbound
This paper cites DeepClouds.ai: Deep learning enabled computationally cheap direct numerical simulations.
Prototype-enhanced prediction in graph neural networks for climate applications DeepClouds.ai: Deep learning enabled computationally cheap direct numerical simulations
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T10:40:58.345711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation df660f26-c22e-4bd3-ac8c-23aa89d0facb · outbound
This paper cites A machine learning emulator for lagrangian particle dispersion model footprints: a case study using name.
Prototype-enhanced prediction in graph neural networks for climate applications A machine learning emulator for lagrangian particle dispersion model footprints: a case study using name
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:40:58.490534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 43711f78-4b53-42e9-b2a8-127a29a71a3c · outbound
This paper cites Accelerating ghg emissions inference: A lagrangian particle dispersion model emulator using graph neural networks.
Prototype-enhanced prediction in graph neural networks for climate applications Accelerating ghg emissions inference: A lagrangian particle dispersion model emulator using graph neural networks
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:40:58.480920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 92e3ae57-4d66-42f0-a17a-120236ac93db · outbound
This paper cites Footnet: Development of a machine learning emulator of atmospheric transport.
Prototype-enhanced prediction in graph neural networks for climate applications Footnet: Development of a machine learning emulator of atmospheric transport
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:40:58.470144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7ed30acd-443a-46f5-bd36-061656db74f9 · outbound
This paper cites Evaluation of lagrangian particle dispersion models with measurements from controlled tracer releases.
Prototype-enhanced prediction in graph neural networks for climate applications Evaluation of lagrangian particle dispersion models with measurements from controlled tracer releases
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:40:58.460689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 84eb7e21-c535-42b4-ae9a-a8548372893b · outbound
This paper cites Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane.
Prototype-enhanced prediction in graph neural networks for climate applications Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:40:58.450901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8a1a6112-014e-481b-9ca3-c8f694d73a80 · outbound
This paper cites The uk met office's next-generation atmospheric dispersion model, name iii.
Prototype-enhanced prediction in graph neural networks for climate applications The uk met office's next-generation atmospheric dispersion model, name iii
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:40:58.440134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cca0d39c-d4d8-45ac-8755-cfb3d4c10831 · outbound
This paper cites Forecasting Global Weather with Graph Neural Networks.
Prototype-enhanced prediction in graph neural networks for climate applications Forecasting Global Weather with Graph Neural Networks
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:40:58.247209Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32770612-5563-4ecd-bed8-ffb0533c9ebd · outbound
This paper cites GraphCast: Learning skillful medium-range global weather forecasting.
Prototype-enhanced prediction in graph neural networks for climate applications GraphCast: Learning skillful medium-range global weather forecasting
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:40:58.250586Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f59d82cd-541c-400f-8278-2b9bcc56797d · outbound
This paper cites Atmospheric impacts of the oil and gas industry.
Prototype-enhanced prediction in graph neural networks for climate applications Atmospheric impacts of the oil and gas industry
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:40:58.430024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 787c9ba0-5a58-45d6-a77e-d6f5122cefbd · outbound
This paper cites A decade of gosat proxy satellite ch 4 observations.
Prototype-enhanced prediction in graph neural networks for climate applications A decade of gosat proxy satellite ch 4 observations
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:40:58.420101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cbecc1cc-3732-46f6-8daf-90dd2d66522a · outbound
This paper cites Learning Mesh-Based Simulation with Graph Networks.
Prototype-enhanced prediction in graph neural networks for climate applications Learning Mesh-Based Simulation with Graph Networks
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:40:58.260206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39a5f328-38be-4ef7-97e5-4fe8c66927bc · outbound
This paper cites Optimizing intersection-over-union in deep neural networks for image segmentation.
Prototype-enhanced prediction in graph neural networks for climate applications Optimizing intersection-over-union in deep neural networks for image segmentation
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:40:58.409749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5bb90e75-b64e-435f-94b5-de0209251d43 · outbound
This paper cites Quantifying sources of brazil's ch 4 emissions between 2010 and 2018 from satellite data.
Prototype-enhanced prediction in graph neural networks for climate applications Quantifying sources of brazil's ch 4 emissions between 2010 and 2018 from satellite data
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:40:58.399920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 186c00ea-8529-4880-88ee-fad49c2b7e74 · outbound
This paper cites Enhancing computational fluid dynamics with machine learning.
Prototype-enhanced prediction in graph neural networks for climate applications Enhancing computational fluid dynamics with machine learning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:40:58.269759Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation faa02dcd-d329-44c5-8bd3-5d0afa883186 · outbound
This paper cites write newline.
Prototype-enhanced prediction in graph neural networks for climate applications write newline
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:40:58.272980Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff7b118c-6d3d-4360-93fe-ce9c890b1eb8 · outbound
This paper cites @esa (Ref.
Prototype-enhanced prediction in graph neural networks for climate applications @esa (Ref
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:40:58.276788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8de1aaee-f23b-4be6-b502-037127e09004 · outbound
This paper cites an unresolved cited work.
Prototype-enhanced prediction in graph neural networks for climate applications Unresolved cited work
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:40:58.280306Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16a3a5a7-9637-42d9-826b-1bfdcd18f7e2 · outbound
This paper cites Tackling Climate Change with Machine Learning.
Prototype-enhanced prediction in graph neural networks for climate applications Tackling Climate Change with Machine Learning
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:40:58.365878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.