Paper Citation Record · LEDGER

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting

As of 14 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2606.27277.

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

pith.paper-citation-record.v1
2606.27277 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T04:33:24.123761Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:37:51.193266Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

63 of 63 outbound references displayed

verified exact19
verified fuzzy0
unresolved41
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c66ee519-5f85-4b7f-883d-356cfacee427 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Cosmos World Foundation Model Platform for Physical AI

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-04T14:09:52.577957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2f2dafcc-7c34-4e27-9e72-74c05539ae16 · outbound

This paper cites Diffusion for world modeling: Visual details matter in atari.Advances in Neural Information Processing Systems, 37:58757–58791, 2024.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Diffusion for world modeling: Visual details matter in atari.Advances in Neural Information Processing Systems, 37:58757–58791, 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation f052c1cd-21d6-4a88-93db-4b1f70e1a2b5 · outbound

This paper cites Multi-modal learning for geospatial vegetation forecasting.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Multi-modal learning for geospatial vegetation forecasting

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation 1e168db0-e915-4d1f-a244-551a45f53922 · outbound

This paper cites Genie: Generative interactive environments.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Genie: Generative interactive environments

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation 76e78fe1-ebfd-4443-88d3-9258e0472b21 · outbound

This paper cites Insights from earth system model initial-condition large ensembles and future prospects.Nature climate change, 10 (4):277–286, 2020.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Insights from earth system model initial-condition large ensembles and future prospects.Nature climate change, 10 (4):277–286, 2020

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation c56df290-c996-48d2-b57e-56b399bc63f0 · outbound

This paper cites Understand- ing the role of weather data for earth surface forecasting using a convlstm-based model.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Understand- ing the role of weather data for earth surface forecasting using a convlstm-based model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation c44cba8a-9e53-4a03-8c3f-b0e8a9cc882b · outbound

This paper cites Simvp: Simpler yet better video prediction.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Simvp: Simpler yet better video prediction

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation 29791324-66da-4697-8b22-cdb57859926f · outbound

This paper cites Earthformer: Exploring space-time transformers for earth system forecasting.Advances in Neural Information Processing Systems, 35:25390–25403, 2022.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Earthformer: Exploring space-time transformers for earth system forecasting.Advances in Neural Information Processing Systems, 35:25390–25403, 2022

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation 59a84ffd-faa6-486c-91a5-ab124a8eb7b9 · outbound

This paper cites Ecomapper: Generative modeling for climate-aware satellite imagery.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Ecomapper: Generative modeling for climate-aware satellite imagery

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation 800a7839-4449-46f3-95a7-eb320b60476b · outbound

This paper cites Disentangling physical dynamics from unknown factors for unsupervised video prediction.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Disentangling physical dynamics from unknown factors for unsupervised video prediction

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation cc689792-9297-4efc-a9cd-5cc74b8c2dac · outbound

This paper cites World Models.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting World Models

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T14:09:52.630757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3261a05b-cb9d-42c4-a0fa-3548dace0d82 · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Dream to Control: Learning Behaviors by Latent Imagination

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-04T14:09:52.635794Z

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Observation adb593e8-e063-43e4-8cdc-8cb3d1646da4 · outbound

This paper cites Learning latent dynamics for planning from pixels.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Learning latent dynamics for planning from pixels

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation b3f93414-c113-4a00-a418-d8669f3603de · outbound

This paper cites Classifier-free diffusion guidance.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Classifier-free diffusion guidance

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation b368d14d-8c33-4e5c-a072-3e2929d8df95 · outbound

This paper cites Diffusion models for video prediction and infilling.Transactions on Machine Learning Research, 2022, 2022.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Diffusion models for video prediction and infilling.Transactions on Machine Learning Research, 2022, 2022

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation caab83bc-a1ab-4c01-87f3-1124902bab70 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting LoRA: Low-rank adaptation of large language models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation 524f9401-3e93-4602-aab5-c2c14dcb62f6 · outbound

This paper cites Huang, J.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Huang, J

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T14:09:52.621428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f71087f2-5ca4-4086-9002-20ebdcff3500 · outbound

This paper cites Global Vegetation Modeling with Pre-Trained Weather Transformers.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Global Vegetation Modeling with Pre-Trained Weather Transformers

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:52.639796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 47944625-4b55-4d7d-b004-e188f40051ee · outbound

This paper cites Diffusionsat: A generative foundation model for satellite imagery.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Diffusionsat: A generative foundation model for satellite imagery

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation 9a66d307-eb5b-4620-8c05-5b21bf5885e3 · outbound

This paper cites Enhanced prediction of vegetation responses to extreme drought using deep learning and earth observation data.Ecological Informatics, 80:102474, 2024.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Enhanced prediction of vegetation responses to extreme drought using deep learning and earth observation data.Ecological Informatics, 80:102474, 2024

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation 6c615734-a6a5-4ca4-b7f7-ea88251baf1b · outbound

This paper cites Eo-vae: Towards a multi-sensor tokenizer for earth observation data.arXiv preprint arXiv:2602.12177, 2026.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Eo-vae: Towards a multi-sensor tokenizer for earth observation data.arXiv preprint arXiv:2602.12177, 2026

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:52.604810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 61440c3c-da06-42ac-baf3-036152027d5b · outbound

This paper cites Stiv: Scalable text and image conditioned video generation.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Stiv: Scalable text and image conditioned video generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation c6995bfa-8f7c-4e4e-8441-ba8322c7d6ad · outbound

This paper cites Flow Matching for Generative Modeling.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Flow Matching for Generative Modeling

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-04T14:09:52.633218Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bb81a8ad-71bf-4538-b84a-456ba142b689 · outbound

This paper cites Vdt: General-purpose video diffusion transformers via mask modeling.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Vdt: General-purpose video diffusion transformers via mask modeling

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation 68c1406f-2f4e-420d-afbd-d1f2ee3c303d · outbound

This paper cites Remote sensing-oriented world model.arXiv preprint arXiv:2509.17808, 2025.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Remote sensing-oriented world model.arXiv preprint arXiv:2509.17808, 2025

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:52.636452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b075887-9057-4360-b730-626054c8b52b · outbound

This paper cites Latte: Latent Diffusion Transformer for Video Generation.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Latte: Latent Diffusion Transformer for Video Generation

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-04T14:09:52.624101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c05c145a-8506-4ca4-8460-281045511d46 · outbound

This paper cites Controllable video generation: A survey.arXiv preprint arXiv:2507.16869.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Controllable video generation: A survey.arXiv preprint arXiv:2507.16869

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:52.627273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e44775e9-7dc3-4e24-9d02-31d7ec1e7eae · outbound

This paper cites Driveworld: 4d pre-trained scene understanding via world models for autonomous driving.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Driveworld: 4d pre-trained scene understanding via world models for autonomous driving

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation c8f4a2e2-2ca2-4345-b951-a210ce3e0bc9 · outbound

This paper cites Syncvp: joint diffusion for synchronous multi-modal video prediction.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Syncvp: joint diffusion for synchronous multi-modal video prediction

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation 6822a602-2050-4f88-ba21-b9927e21f4bc · outbound

This paper cites Explainable earth surface forecasting under extreme events.Earth’s Future, 13(9):e2024EF005446, 2025.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Explainable earth surface forecasting under extreme events.Earth’s Future, 13(9):e2024EF005446, 2025

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation f285b47b-cd29-4867-b002-e5002b7f1433 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Film: Visual reasoning with a general conditioning layer

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation 905e4c22-708f-456e-91d6-485d3dc7d92e · outbound

This paper cites Earthnet2021: A large-scale dataset and challenge for earth surface forecasting as a guided video prediction task.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Earthnet2021: A large-scale dataset and challenge for earth surface forecasting as a guided video prediction task

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation cdbd1be8-4da2-4f72-be8f-eae75f5a3fc8 · outbound

This paper cites AVID: Adapting Video Diffusion Models to World Models.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting AVID: Adapting Video Diffusion Models to World Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:52.627940Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8dfda2c1-6977-47c3-94d9-bdc48c8c6a00 · outbound

This paper cites Worldarena: A unified benchmark for evaluating perception and functional utility of embodied world models.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Worldarena: A unified benchmark for evaluating perception and functional utility of embodied world models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:52.589502Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a9fe806b-dba5-49a3-9797-f671e558a317 · outbound

This paper cites Vit-koop: Vision-transformer-koopman operators for efficient time-series forecasting of earth-observation data.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Vit-koop: Vision-transformer-koopman operators for efficient time-series forecasting of earth-observation data

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation ac70c049-38f3-4027-8129-a77cecb99a9d · outbound

This paper cites Restore-dit: Reliable satellite image time series reconstruction by multimodal sequential diffusion transformer.Remote Sensing of Environment, 328:114872, 2025.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Restore-dit: Reliable satellite image time series reconstruction by multimodal sequential diffusion transformer.Remote Sensing of Environment, 328:114872, 2025

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation 8f17b7e3-b8e1-46c7-a3a2-2b45c24f9a3a · outbound

This paper cites Earthpt: a foundation model for earth observation.European Geosciences Union General Assembly 2024 (EGU24), page 1760, 2024.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Earthpt: a foundation model for earth observation.European Geosciences Union General Assembly 2024 (EGU24), page 1760, 2024

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Observation 91915881-848f-4ace-8cae-dea297d56d0a · outbound

This paper cites DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:52.609626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 97400d38-2557-49de-b58d-c23851faf9cc · outbound

This paper cites Temporal attention unit: Towards efficient spatiotemporal predictive learning.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Temporal attention unit: Towards efficient spatiotemporal predictive learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Unavailable: canonical work link unavailable.

Observation 69b98ba5-f135-4b3f-919b-5154c0d234ea · outbound

This paper cites Openstl: A comprehensive benchmark of spatio-temporal predictive learning.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Openstl: A comprehensive benchmark of spatio-temporal predictive learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Unavailable: canonical work link unavailable.

Observation 8f27587f-bae6-4a65-90d2-4249df571f2a · outbound

This paper cites Advancing Open-source World Models.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Advancing Open-source World Models

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-07-04T14:09:52.592286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7fb6a338-4121-4c88-aef6-525e9dddf2cc · outbound

This paper cites Forecasting dryland vegetation condition months in advance through satellite data assimilation.Nature Communica- tions, 10(1):469, 2019.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Forecasting dryland vegetation condition months in advance through satellite data assimilation.Nature Communica- tions, 10(1):469, 2019

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Unavailable: canonical work link unavailable.

Observation d730ed6a-4ab1-4df8-840e-b81bbf05f16d · outbound

This paper cites A control-centric benchmark for video prediction.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting A control-centric benchmark for video prediction

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Unavailable: canonical work link unavailable.

Observation 1b7dcff7-ebab-4f72-a94f-277304c3ae05 · outbound

This paper cites Attribution of climate extreme events.Nature climate change, 5(8):725–730, 2015.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Attribution of climate extreme events.Nature climate change, 5(8):725–730, 2015

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 840c091e-53a1-43d2-8f88-0ef18df3fd99 · outbound

This paper cites Crop yield prediction using machine learning: A systematic literature review.Computers and electronics in agriculture, 177:105709, 2020.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Crop yield prediction using machine learning: A systematic literature review.Computers and electronics in agriculture, 177:105709, 2020

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Unavailable: canonical work link unavailable.

Observation 41e2f530-e87e-406c-87ea-7d1d4bd6e2c6 · outbound

This paper cites Mcvd-masked conditional video dif- fusion for prediction, generation, and interpolation.Advances in neural information processing systems, 35:23371–23385, 2022.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Mcvd-masked conditional video dif- fusion for prediction, generation, and interpolation.Advances in neural information processing systems, 35:23371–23385, 2022

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Unavailable: canonical work link unavailable.

Observation 5c83ee5c-ceae-4a30-bb59-ea1e75376825 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Wan: Open and Advanced Large-Scale Video Generative Models

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-07-04T14:09:52.633540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9cb25a31-8f5c-4ca6-8f13-0fd0bb3da41a · outbound

This paper cites ATI: Any Trajectory Instruction for Controllable Video Generation.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting ATI: Any Trajectory Instruction for Controllable Video Generation

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:52.625119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4de7c839-5835-42d1-b3f6-d842999cef5a · outbound

This paper cites Predrnn: Recurrent neural networks for predictive learning using spatiotemporal lstms.Advances in neural information processing systems, 30, 2017.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Predrnn: Recurrent neural networks for predictive learning using spatiotemporal lstms.Advances in neural information processing systems, 30, 2017

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

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Unavailable: canonical work link unavailable.

Observation 9798db66-5cf9-4798-a364-1e72d6eee40f · outbound

This paper cites Predrnn: A recurrent neural network for spatiotemporal predictive learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):2208–2225, 2022.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Predrnn: A recurrent neural network for spatiotemporal predictive learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):2208–2225, 2022

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd0f8300-01c2-4b06-8321-3b0869e1170c · outbound

This paper cites Rs-worldmodel: a unified model for remote sensing understanding and future sense forecasting.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Rs-worldmodel: a unified model for remote sensing understanding and future sense forecasting

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:52.638658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 75505fbe-ccdc-44e7-a28f-10bbb1adcdb9 · outbound

This paper cites WorldMark: A Unified Benchmark Suite for Interactive Video World Models.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting WorldMark: A Unified Benchmark Suite for Interactive Video World Models

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-07-04T14:09:52.621912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 841e77e7-6bbd-4b8f-81c1-3bb06ce72832 · outbound

This paper cites arXiv preprint arXiv: 2512.12751 (2025) 4.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting arXiv preprint arXiv: 2512.12751 (2025) 4

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:52.645938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8a13ed69-d4c2-41c6-9013-981dc25b90bb · outbound

This paper cites Stdiff: Spatio-temporal diffusion for continuous stochastic video prediction.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Stdiff: Spatio-temporal diffusion for continuous stochastic video prediction

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5365f9c8-dafd-473a-93e2-424224cb1360 · outbound

This paper cites Units: Unified time series generative model for remote sensing.arXiv preprint arXiv:2512.04461, 2025.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Units: Unified time series generative model for remote sensing.arXiv preprint arXiv:2512.04461, 2025

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:52.615511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d2c218a2-53c5-46a1-a1ae-a704c62c6ba4 · outbound

This paper cites Extdm: Distri- bution extrapolation diffusion model for video prediction.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Extdm: Distri- bution extrapolation diffusion model for video prediction

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 305dce94-a414-43c7-9a42-ae4a8f1f8a6b · outbound

This paper cites Vegediff: Latent diffusion model for geospatial vegetation forecasting.IEEE Transactions on Geoscience and Remote Sensing, 2025.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Vegediff: Latent diffusion model for geospatial vegetation forecasting.IEEE Transactions on Geoscience and Remote Sensing, 2025

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 684d294d-a131-4311-b92b-c30df5a290d1 · outbound

This paper cites Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-07-04T14:09:52.642440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7c928226-4aca-4078-b04a-7403465b0571 · outbound

This paper cites EO cond.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting EO cond

Reference 59

Resolution: malformed identifier; no resolver link, observed 2026-06-26T04:33:24.123761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86a67bc5-52e3-4c44-8d58-abd7e68d64e5 · outbound

This paper cites an unresolved cited work.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c2a76d-136a-45b5-b34d-138553395225 · outbound

This paper cites an unresolved cited work.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a54ff0f-2164-41a5-bafb-9bbb3a94d863 · outbound

This paper cites an unresolved cited work.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6573511f-3a72-4078-a7fe-5f796f48a1c1 · outbound

This paper cites how much.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting how much

Reference 63

Resolution: unresolved; no resolver link, observed 2026-06-26T04:33:24.123761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4f13c5ca-6c9f-4429-b02f-ddc645d009a8 · inbound

From Surface Forecasting to Observability Forecasting: A Latent World Model for Cloud-Aware EO Monitoring cites this paper.

From Surface Forecasting to Observability Forecasting: A Latent World Model for Cloud-Aware EO Monitoring EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T04:37:51.193266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.