TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series | Paper Citation Record

Observation a1fcbaf8-ba96-48d2-8860-5cfb73283a84 · outbound

This paper cites Vits for sits: Vision transformers for satellite image time series.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Vits for sits: Vision transformers for satellite image time series

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.529280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 825dae66-897b-4699-88ee-fe8649bcf2d1 · outbound

This paper cites Multisenge: A multimodal and multitemporal benchmark dataset for land use/land cover remote sensing applications.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Multisenge: A multimodal and multitemporal benchmark dataset for land use/land cover remote sensing applications

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.597190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcab42b7-968a-4797-bd13-4fc852993cc6 · outbound

This paper cites Using difference features effectively: A multi-task network for exploring change areas and change moments in time series remote sensing images.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Using difference features effectively: A multi-task network for exploring change areas and change moments in time series remote sensing images

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.637092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e806aa3-4453-4c49-b31e-027b0e91cbdd · outbound

This paper cites Panoptic seg- mentation of satellite image time series with convolutional temporal attention networks.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Panoptic seg- mentation of satellite image time series with convolutional temporal attention networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.642657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e552f929-7ac9-4cf6-9d6b-79280d4a5c8e · outbound

This paper cites Spatiotemporal masked pre-training for advancing crop mapping on satellite image time series with limited labels.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Spatiotemporal masked pre-training for advancing crop mapping on satellite image time series with limited labels

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.648110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef9ad4ea-b1c3-471f-80c3-2089d32c76f2 · outbound

This paper cites Satmae: Pre-training transformers for tem- poral and multi-spectral satellite imagery.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Satmae: Pre-training transformers for tem- poral and multi-spectral satellite imagery

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.652924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d85ccc42-91fe-4bb0-84c9-8d94d335f223 · outbound

This paper cites Momentum contrast for unsupervised visual rep- resentation learning.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Momentum contrast for unsupervised visual rep- resentation learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.657816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0e54254-ae32-4ff7-a079-3106e1e5257e · outbound

This paper cites Seasonal contrast: Un- supervised pre-training from uncurated remote sensing data.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Seasonal contrast: Un- supervised pre-training from uncurated remote sensing data

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.661767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da360f28-edd8-4d0a-bfdc-8728f9d8ffb8 · outbound

This paper cites Geography-aware self-supervised learning.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Geography-aware self-supervised learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.665177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd6a8926-1394-429c-a4a6-9c0e4c1f2ff8 · outbound

This paper cites Skysense: A multi-modal remote sens- ing foundation model towards universal interpretation for earth observation imagery.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Skysense: A multi-modal remote sens- ing foundation model towards universal interpretation for earth observation imagery

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.669168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6084d1f8-a514-491e-8f45-fc61dd41a252 · outbound

This paper cites Masked autoencoders are scalable vision learners.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Masked autoencoders are scalable vision learners

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.673367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0aa3bd2-3c1d-4583-ba65-a6c57cb1ffa4 · outbound

This paper cites BEit: BERT pre-training of image transformers.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series BEit: BERT pre-training of image transformers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.677736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 904a9421-24b4-4c58-bc90-d69fb704a195 · outbound

This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.763078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aef0794-2111-4cdf-b3de-2afcdc740a81 · outbound

This paper cites Prithvi-eo- 2.0: A versatile multi-temporal foundation model for earth observation applications.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Prithvi-eo- 2.0: A versatile multi-temporal foundation model for earth observation applications

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.857785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f057964c-435c-49a5-bd58-c2463f35b1b1 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series An image is worth 16x16 words: Transformers for image recognition at scale

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.966935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d453eaed-f88a-44cc-ab0b-9c7e28b8746f · outbound

This paper cites Functional map of the world.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Functional map of the world

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.971834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d898af1c-89ce-4218-a42f-b015e23ea46c · outbound

This paper cites Hi- era: A hierarchical vision transformer without the bells-and- whistles.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Hi- era: A hierarchical vision transformer without the bells-and- whistles

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.975467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef603d96-7f24-468e-89cb-0c73a7aa2780 · outbound

This paper cites A billion-scale foundation model for remote sensing images.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series A billion-scale foundation model for remote sensing images

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.979943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 315b461e-5396-4fe9-a249-e1a8c5d5dbcf · outbound

This paper cites Hypersigma: Hy- perspectral intelligence comprehension foundation model.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Hypersigma: Hy- perspectral intelligence comprehension foundation model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:48.984881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7301a92-dcf1-43ab-9dcd-fd2cf1b5cc2b · outbound

This paper cites Lexie Yang, and Dalton Lunga.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Lexie Yang, and Dalton Lunga

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:49.011876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1930b43a-eaf9-4048-ad8c-9b2403bb213b · outbound

This paper cites Swin transformer v2: Scaling up capacity and resolution.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Swin transformer v2: Scaling up capacity and resolution

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:49.112039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b420776c-76d9-4ac7-a8f1-7e82b5bf195b · outbound

This paper cites Scaling vision with sparse mix- ture of experts.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Scaling vision with sparse mix- ture of experts

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:49.171298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6204876-b711-42c9-80ad-8d8f91336dc0 · outbound

This paper cites Scaling vision transformers.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Scaling vision transformers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:49.176003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a50681d7-fce9-47dc-bbaf-0283ca56b28d · outbound

This paper cites Vi- TAE: Vision transformer advanced by exploring intrinsic in- ductive bias.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Vi- TAE: Vision transformer advanced by exploring intrinsic in- ductive bias

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:49.179575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01d5d1d4-d2fd-41c0-b57a-a1ce6a0ffeaa · outbound

This paper cites Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.731262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e73f2725-0cb7-4aaa-ae41-290f7bd5ce3e · outbound

This paper cites Satlaspretrain: A large- scale dataset for remote sensing image understanding.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Satlaspretrain: A large- scale dataset for remote sensing image understanding

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.720259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9c50e51a-e7f4-44fb-ba95-67d2265b455a · outbound

This paper cites An empirical study of remote sensing pretraining.IEEE Transactions on Geoscience and Remote Sensing , 61:1–20,.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series An empirical study of remote sensing pretraining.IEEE Transactions on Geoscience and Remote Sensing , 61:1–20,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.708381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f9356a3a-2e17-4240-9079-98fa4487ff7b · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Swin transformer: Hierarchical vision transformer using shifted windows

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.696732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 130328bc-2f94-429d-91d5-f492b4e1316e · outbound

This paper cites Vi- taev2: Vision transformer advanced by exploring inductive bias for image recognition and beyond.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Vi- taev2: Vision transformer advanced by exploring inductive bias for image recognition and beyond

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.684998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e535aa5c-a606-4b6f-9c1c-6a16cb03ed62 · outbound

This paper cites Spectralgpt: Spec- tral remote sensing foundation model.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Spectralgpt: Spec- tral remote sensing foundation model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:49.206963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0327ed05-1f5a-4f75-b3cc-1d840265c489 · outbound

This paper cites USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:49.272588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5566920d-2326-4b3d-b785-e768fac731dd · outbound

This paper cites CSP: Self-supervised contrastive spatial pre-training for geospatial-visual representations.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series CSP: Self-supervised contrastive spatial pre-training for geospatial-visual representations

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.673650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a08873be-1d95-4808-b07c-6ceb08c5c054 · outbound

This paper cites GeoCLIP: Clip-inspired alignment between locations and images for effective worldwide geo-localization.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series GeoCLIP: Clip-inspired alignment between locations and images for effective worldwide geo-localization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.662856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e20e55f9-e46e-4fc2-b8a7-ffbd193682e3 · outbound

This paper cites SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:49.399882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78e91446-6bee-458f-81b4-43fc8353a774 · outbound

This paper cites Advancing plain vision transformer toward remote sensing foundation model.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Advancing plain vision transformer toward remote sensing foundation model

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:49.404557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c619364-1a5b-4e7f-b345-76d93635769d · outbound

This paper cites RingMo: A remote sensing foundation model with masked image modeling.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series RingMo: A remote sensing foundation model with masked image modeling

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.645443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 40e54208-730a-4723-8ddf-ce3b728b6a70 · outbound

This paper cites Self- supervised material and texture representation learning for remote sensing tasks.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Self- supervised material and texture representation learning for remote sensing tasks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.635408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 950adcbf-5408-4462-9764-b7747b92eca8 · outbound

This paper cites Cross-scale mae: A tale of multiscale exploitation in remote sensing.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Cross-scale mae: A tale of multiscale exploitation in remote sensing

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.624414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4eda019a-ca20-4618-80f2-da60fc0355ac · outbound

This paper cites Masked angle-aware autoencoder for remote sensing images.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Masked angle-aware autoencoder for remote sensing images

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.614175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 32c1a607-f74b-425d-a917-dd09bf0d0078 · outbound

This paper cites Bridging remote sensors with multisensor geospatial foundation models.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Bridging remote sensors with multisensor geospatial foundation models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.604958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 02263c23-7200-4cef-bf1b-e880753cb9fa · outbound

This paper cites Neu- ral plasticity-inspired foundation model for observing the earth crossing modalities.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Neu- ral plasticity-inspired foundation model for observing the earth crossing modalities

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:49.429432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4096b40-db07-4103-9b14-8846317669a3 · outbound

This paper cites SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-Satellite Self-Supervised Pretraining.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-Satellite Self-Supervised Pretraining

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:49.433086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8176ca9-6a98-48e9-97c2-3739826c3bfb · outbound

This paper cites OmniSat: Self-supervised modality fusion for Earth observation.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series OmniSat: Self-supervised modality fusion for Earth observation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.594765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b14bb7a8-cf67-4b4d-8aed-1a6c41d6dfa9 · outbound

This paper cites AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:49.440319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 268dbc9f-e67a-40a4-95d9-6b65a93b1318 · outbound

This paper cites Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.583946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 43eb0321-eeaf-4832-8d19-03910103a210 · outbound

This paper cites Towards geospatial foundation models via con- tinual pretraining.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Towards geospatial foundation models via con- tinual pretraining

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.572551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e4f1f995-125c-4f97-bd0e-387fa7b6f47e · outbound

This paper cites MTP: Advancing remote sensing foun- dation model via multi-task pretraining.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series MTP: Advancing remote sensing foun- dation model via multi-task pretraining

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.561795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 98073a12-2ff1-4549-9a27-dc20742cf124 · outbound

This paper cites Consecutive pre-training: A knowledge transfer learning strategy with relevant unla- beled data for remote sensing domain.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Consecutive pre-training: A knowledge transfer learning strategy with relevant unla- beled data for remote sensing domain

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.550867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3de07a70-b2c4-4c82-93b0-a56e5205a089 · outbound

This paper cites TOV: The original vision model for optical re- mote sensing image understanding via self-supervised learn- ing.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series TOV: The original vision model for optical re- mote sensing image understanding via self-supervised learn- ing

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.539799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ad4663f1-7360-4c1e-9229-83c75e0267a7 · outbound

This paper cites CMID: A unified self-supervised learning framework for remote sensing image understanding.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series CMID: A unified self-supervised learning framework for remote sensing image understanding

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.528327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e63f23c-cd33-42ea-81d2-dd268d837313 · outbound

This paper cites Change- aware sampling and contrastive learning for satellite images.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Change- aware sampling and contrastive learning for satellite images

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.517169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f87713e4-3fd4-4008-8f41-cde3a26d134c · outbound

This paper cites A$^{2}$-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series A$^{2}$-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:49.535011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fdb6542-093e-4e86-b148-64450471ab1b · outbound

This paper cites SSL4EO- S12: A large-scale multimodal, multitemporal dataset for self-supervised learning in earth observation [software and data sets].

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series SSL4EO- S12: A large-scale multimodal, multitemporal dataset for self-supervised learning in earth observation [software and data sets]

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.505954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 374ee5ec-1ba8-4a6a-a387-8e85095a09e6 · outbound

This paper cites SatSwinMAE: Efficient Autoencoding for Multiscale Time-series Satellite Imagery.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series SatSwinMAE: Efficient Autoencoding for Multiscale Time-series Satellite Imagery

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:53:50.218643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d90f8648-85bf-42d2-a885-6f08b681087a · outbound

This paper cites Attention is all you need.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Attention is all you need

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.495126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b1196526-dcdc-44fc-93f2-db9364db484a · outbound

This paper cites MViTv2: Improved multiscale vision transformers for classification and detection.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series MViTv2: Improved multiscale vision transformers for classification and detection

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.483950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6a4a63f2-007c-4365-8c0f-60caed96636b · outbound

This paper cites Exploring plain vision transformer backbones for object de- tection.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Exploring plain vision transformer backbones for object de- tection

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.472664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 91f34b89-9045-4754-b023-6afa04710262 · outbound

This paper cites MultiEarth 2023 -- Multimodal Learning for Earth and Environment Workshop and Challenge.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series MultiEarth 2023 -- Multimodal Learning for Earth and Environment Workshop and Challenge

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:53:50.198103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 49cae385-a3d6-4853-9a5d-7a1be2b7f5e4 · outbound

This paper cites Multi-temporal land cover classification with sequential recurrent encoders.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Multi-temporal land cover classification with sequential recurrent encoders

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:49.575462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b392f51-d4b8-4179-86db-fa035655c76d · outbound

This paper cites Sen12-flood: a sar and multispectral dataset for flood detec- tion.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Sen12-flood: a sar and multispectral dataset for flood detec- tion

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.454757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a9011f5-990c-418e-ac03-c1b6bbcaa9b7 · outbound

This paper cites Kuro siwo: 33 billion mˆ2 under the water.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Kuro siwo: 33 billion mˆ2 under the water

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.442154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8fa96e7f-b494-4082-be0c-9bc8df3bca6a · outbound

This paper cites Can foundation models wrangle your data? Proceedings of the VLDB Endowment, 16(4):738–746, December 2022.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Can foundation models wrangle your data? Proceedings of the VLDB Endowment, 16(4):738–746, December 2022

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.428813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ecdf30e1-23f3-4fbd-8895-dde518fa7f6a · outbound

This paper cites Towards foundation models for scientific machine learning: Characterizing scaling and transfer be- havior.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Towards foundation models for scientific machine learning: Characterizing scaling and transfer be- havior

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.416021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 36ea1a62-d35a-481c-93b4-8f233780440b · outbound

This paper cites 12 2019/07/31 2020/08/04 2021/05/06 TiMo-BaseGTImage TiMo-Large Deforestation Forest Figure 8.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series 12 2019/07/31 2020/08/04 2021/05/06 TiMo-BaseGTImage TiMo-Large Deforestation Forest Figure 8

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.405478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ad12b6d-a97b-4701-88ad-d7b0b8b9365b · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:51.393273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 472bee27-c7d6-49e0-b8ba-35e0b6def170 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:51.381323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 67c12c35-a894-4031-bb47-84d0369ecef0 · outbound

This paper cites A1: MillionST is comprised of image subsets captured by the Sentinel-2 satellite.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series A1: MillionST is comprised of image subsets captured by the Sentinel-2 satellite

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.369016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 817354c3-bfe0-4744-9700-f676a51f5f48 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:51.357796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cd29a0ba-9691-4abd-8368-890133311aa8 · outbound

This paper cites If it is not representative of the larger set, please describe why not (e.g., to cover a more diverse range of instances, because instances were withheld or unavailable).

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series If it is not representative of the larger set, please describe why not (e.g., to cover a more diverse range of instances, because instances were withheld or unavailable)

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.345230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 458451bf-3237-4ce1-8400-bdb1dcd7c6e1 · outbound

This paper cites Visualization of the prediction results on MTLCC dataset.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Visualization of the prediction results on MTLCC dataset

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.331937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 64f21273-d401-47a1-a53a-924a964ea8fe · outbound

This paper cites A5: No, since this dataset is intended for spatiotemporal self-supervised learning.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series A5: No, since this dataset is intended for spatiotemporal self-supervised learning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.319875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0ea230ad-0911-4eb7-b8ac-627f43f98c22 · outbound

This paper cites This does not include intentionally removed informa- tion, but might include, e.g., redacted text.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series This does not include intentionally removed informa- tion, but might include, e.g., redacted text

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.308603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b20127a3-c056-40d4-be5a-63c891c9b61f · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:51.297811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 838699c9-2987-48c7-b988-981599308b70 · outbound

This paper cites A8: Yes, we recommend utilizing the whole dataset for spatiotemporal self-supervised pre-training.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series A8: Yes, we recommend utilizing the whole dataset for spatiotemporal self-supervised pre-training

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.287074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5e982491-ae70-4fcd-9101-3fd279932c58 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:51.275663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6a7c1568-9085-4029-8417-790b8119d9d2 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:51.263167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c2f04f5-0529-4863-a17b-46da8ee86e1d · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:51.251474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ae13e06-0bb1-4152-ad86-fa98fb841438 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:51.239667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a85bce60-73ac-42d8-9421-7e6f49695074 · outbound

This paper cites A1: The data associated with each instance are directly observable, as they are stored in the GeoTIFF format and can be accessed via Rasterio.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series A1: The data associated with each instance are directly observable, as they are stored in the GeoTIFF format and can be accessed via Rasterio

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.227305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 58aa3631-b976-46da-9124-e209836dc8f8 · outbound

This paper cites All operations are controlled by Python scripts to operate the Google Earth Engine.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series All operations are controlled by Python scripts to operate the Google Earth Engine

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.215630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation caf58dde-4e18-43ef-a3ad-00b449374a31 · outbound

This paper cites Spatially, for each sample, the process begins with uni- form sampling from 1,317 cities in Europe, North Africa, and West Asia.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Spatially, for each sample, the process begins with uni- form sampling from 1,317 cities in Europe, North Africa, and West Asia

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.197863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a488009-1ab1-4aa2-9bc2-02c0be3df1a3 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:51.184224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1d7bc73d-9cd6-480b-bcc3-d370ef97fa7c · outbound

This paper cites A5: Since all operations are performed online, down- loading is seriously affected by the network connection sta- tus, and collecting data costs about 1 month.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series A5: Since all operations are performed online, down- loading is seriously affected by the network connection sta- tus, and collecting data costs about 1 month

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.163455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c6185cd4-ac15-414e-8f61-98ca6eb6b73a · outbound

This paper cites If not, you may skip the remainder of the questions in this section.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series If not, you may skip the remainder of the questions in this section

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.128277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e015eede-10b8-4827-9fc7-ae0b5d02d04f · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:51.117054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e7902f30-1c1d-47b2-8f4f-deaa4f185da0 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:51.105660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 23bae0b1-f17c-454e-9ae1-fb4cf27e317c · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:51.074037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2eec17e0-cc88-4956-aaa6-84974cd88003 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:49.915860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e85467db-90e1-4544-80ba-cc8f841c8eb8 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:51.034966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ef924e63-0487-4667-b79d-f757ddf7980f · outbound

This paper cites Is there anything a future user could do to mitigate these undesirable harms? A4: No.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Is there anything a future user could do to mitigate these undesirable harms? A4: No

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:51.022191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c9d8064b-1219-49fc-8182-51dce5744996 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 91

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:51.010039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c6f3697-6e75-4d82-9523-e449e0c4c071 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:50.972164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 83877aed-cbbd-4a61-a40a-af95d73634b5 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:50.936415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 09ba3cd8-0a36-42a7-9b15-512c2d52a913 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:50.924125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 94e7ec17-6aeb-4ccb-b0f6-8c5391af2f70 · outbound

This paper cites A4: It will be distributed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series A4: It will be distributed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:53:50.877650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 81fae90b-db92-4fdf-bbcc-648363841649 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 96

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:50.835467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ee8c8ba8-af22-4dc1-a1c6-a287090776ae · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 97

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:50.823146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8bee031f-91cc-4ba0-ba42-10a5f0e35988 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:50.087247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 020d6489-aec4-4b38-a143-8da284dcea23 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:50.777633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 87115e29-8067-4bfc-abaa-83c4a9bab115 · outbound

This paper cites an unresolved cited work.

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:53:50.704058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers