{"as_of":"2026-08-18T18:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0f3fad2031a520e8eaba55a5c95b1f6b26bcac09fb697edcd20a238732e3c267","coverage":[{"denominator":103,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:53:50.095176Z","state":"measured"},{"denominator":101,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":101,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T18:58:05.921123Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-10T23:40:50.760139Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"cited_work":{"arxiv_id":"2505.08723","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.08723","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","venue":null,"work_id":"a419ec7a-358b-4ba2-92dd-fe62c4a9e719","year":2025},"citing_paper":{"arxiv_id":"2604.05068","last_updated":"2026-04-06T18:14:53Z","snapshot_observed_at":"2026-08-13T08:29:23.599782Z","submitted_at":"2026-04-06T18:14:53Z","title":"Towards Scaling Law Analysis For Spatiotemporal Weather Data","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T18:58:05.921123Z"},"links":{"cited_paper":"/paper/2505.08723","citing_paper":"/paper/2604.05068"},"observation_digest":"sha256:92cc5db8b55bb36aaed27b2fdfdfde72223c7808aa29eaab5d75d8238f1a1e8d","observation_id":"693d55d0-55aa-4b69-84e5-2a8793bb428b","resolution":{"observed_at":"2026-05-10T23:40:50.763682Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.08723/citation-record","integrity":"/paper/2505.08723/integrity","json":"/paper/2505.08723/citation-record.json","paper":"/paper/2505.08723"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.529280Z","title":"Vits for sits: Vision transformers for satellite image time series","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.529280Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:6f232734f836cb76a06a6fb768368ef516bec4885f81342954676c5dc5490c9d","observation_id":"a1fcbaf8-ba96-48d2-8860-5cfb73283a84","resolution":{"observed_at":"2026-08-15T21:53:48.529280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.597190Z","title":"Multisenge: A multimodal and multitemporal benchmark dataset for land use/land cover remote sensing applications","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.597190Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:af2d4ef98ef382d17bc653e67382927bec8cc1156e4ddd2304fdafd27b66d67e","observation_id":"825dae66-897b-4699-88ee-fe8649bcf2d1","resolution":{"observed_at":"2026-08-15T21:53:48.597190Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.637092Z","title":"Using difference features effectively: A multi-task network for exploring change areas and change moments in time series remote sensing images","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.637092Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:eec3de8abd33847006a9c1134c36e2ae104d7048ce09e16bb04be4fb3ba1ec04","observation_id":"fcab42b7-968a-4797-bd13-4fc852993cc6","resolution":{"observed_at":"2026-08-15T21:53:48.637092Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.642657Z","title":"Panoptic seg- mentation of satellite image time series with convolutional temporal attention networks","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.642657Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:4e5788389cdc58e86cc89ff1ed6722b6398b4020456c2c69d73fdfed2b107359","observation_id":"5e806aa3-4453-4c49-b31e-027b0e91cbdd","resolution":{"observed_at":"2026-08-15T21:53:48.642657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.648110Z","title":"Spatiotemporal masked pre-training for advancing crop mapping on satellite image time series with limited labels","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.648110Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:4af6f93c16177abeeb531e176737aa57e6a873d9bc326ba56af8bc9b503b340b","observation_id":"e552f929-7ac9-4cf6-9d6b-79280d4a5c8e","resolution":{"observed_at":"2026-08-15T21:53:48.648110Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.652924Z","title":"Satmae: Pre-training transformers for tem- poral and multi-spectral satellite imagery","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.652924Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:6729425f7c971dc31346803c8159a834394428ddc1369ae333690995e7675c8c","observation_id":"ef9ad4ea-b1c3-471f-80c3-2089d32c76f2","resolution":{"observed_at":"2026-08-15T21:53:48.652924Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.657816Z","title":"Momentum contrast for unsupervised visual rep- resentation learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.657816Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:e18eb6d266c9634970fa75540c9e0b1f619aa8c48a98ac9bc9f97de33757347f","observation_id":"d85ccc42-91fe-4bb0-84c9-8d94d335f223","resolution":{"observed_at":"2026-08-15T21:53:48.657816Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.661767Z","title":"Seasonal contrast: Un- supervised pre-training from uncurated remote sensing data","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.661767Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:b284d0798d2aa5ecad9a880c90baa1786143cd16290bc196851149b8eb639211","observation_id":"c0e54254-ae32-4ff7-a079-3106e1e5257e","resolution":{"observed_at":"2026-08-15T21:53:48.661767Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.665177Z","title":"Geography-aware self-supervised learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.665177Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:f2058848bae9bff858eb0bc15d7c4ceaea6f4c12e908b9903d1ddf8a8e2ce903","observation_id":"da360f28-edd8-4d0a-bfdc-8728f9d8ffb8","resolution":{"observed_at":"2026-08-15T21:53:48.665177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.669168Z","title":"Skysense: A multi-modal remote sens- ing foundation model towards universal interpretation for earth observation imagery","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.669168Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:d5c681ca6850c337d2225e72ae2fbe536980dfc7d543e0228a389974911a132f","observation_id":"fd6a8926-1394-429c-a4a6-9c0e4c1f2ff8","resolution":{"observed_at":"2026-08-15T21:53:48.669168Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.673367Z","title":"Masked autoencoders are scalable vision learners","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.673367Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:c60c54dd2af3716657205a37c1d98fa7e22085a8e4c3b095e55f464a0ccfc9ef","observation_id":"6084d1f8-a514-491e-8f45-fc61dd41a252","resolution":{"observed_at":"2026-08-15T21:53:48.673367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.677736Z","title":"BEit: BERT pre-training of image transformers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.677736Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:f53b43dc721d3731dc690bbe86299ed1cfa3a4f841c45de6040349b45c28aa2a","observation_id":"c0aa3bd2-3c1d-4583-ba65-a6c57cb1ffa4","resolution":{"observed_at":"2026-08-15T21:53:48.677736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.763078Z","title":"Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.763078Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:5b8b83d177efc0bff17ba627efdcde8eff93a144c26c20cf0a67c1d792cc670a","observation_id":"904a9421-24b4-4c58-bc90-d69fb704a195","resolution":{"observed_at":"2026-08-15T21:53:48.763078Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.857785Z","title":"Prithvi-eo- 2.0: A versatile multi-temporal foundation model for earth observation applications","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.857785Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:15e7604708d4f4c927ff86ff21cc0a309ee09f13c5a6c6183aada9a5617685e4","observation_id":"1aef0794-2111-4cdf-b3de-2afcdc740a81","resolution":{"observed_at":"2026-08-15T21:53:48.857785Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.966935Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.966935Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:2bc910930d185a879c897bbbe2ebd8715b58c69fa49949b172ea3c77e779a5e3","observation_id":"f057964c-435c-49a5-bd58-c2463f35b1b1","resolution":{"observed_at":"2026-08-15T21:53:48.966935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.971834Z","title":"Functional map of the world","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.971834Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:ddb4f5689de3f0a1df4dcfa3f65ab0f925b39f1a607805aa6e35a2c6921d5533","observation_id":"d453eaed-f88a-44cc-ab0b-9c7e28b8746f","resolution":{"observed_at":"2026-08-15T21:53:48.971834Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.975467Z","title":"Hi- era: A hierarchical vision transformer without the bells-and- whistles","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.975467Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:e22a735679e6ed71b2076808495a531d580d97fd517d68d30905c70c1b51e573","observation_id":"d898af1c-89ce-4218-a42f-b015e23ea46c","resolution":{"observed_at":"2026-08-15T21:53:48.975467Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.979943Z","title":"A billion-scale foundation model for remote sensing images","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.979943Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:761035872f41b07eaa6ca3c3122a74a5487b96cbc3c25eccce944d6b16a6609a","observation_id":"ef603d96-7f24-468e-89cb-0c73a7aa2780","resolution":{"observed_at":"2026-08-15T21:53:48.979943Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:48.984881Z","title":"Hypersigma: Hy- perspectral intelligence comprehension foundation model","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:48.984881Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:09fd4e76d590d51d4363bf6522bc46a38f8ce0b10a62f165c351ab0cffe90539","observation_id":"315b461e-5396-4fe9-a249-e1a8c5d5dbcf","resolution":{"observed_at":"2026-08-15T21:53:48.984881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:49.011876Z","title":"Lexie Yang, and Dalton Lunga","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.011876Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:244cd88d7baad29cd0988d60b5cb8225dc0cb8f59d209dd731b6950d48a38624","observation_id":"a7301a92-dcf1-43ab-9dcd-fd2cf1b5cc2b","resolution":{"observed_at":"2026-08-15T21:53:49.011876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:49.112039Z","title":"Swin transformer v2: Scaling up capacity and resolution","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.112039Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:77af07aec95221c52917c693e41478a54efe28b0a2386c9c6b949d2a7caf095a","observation_id":"1930b43a-eaf9-4048-ad8c-9b2403bb213b","resolution":{"observed_at":"2026-08-15T21:53:49.112039Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:49.171298Z","title":"Scaling vision with sparse mix- ture of experts","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.171298Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:05cf0db5e818be2cb29333a5ca902e39971be542d88f9068c8b87627dcb9fc8f","observation_id":"b420776c-76d9-4ac7-a8f1-7e82b5bf195b","resolution":{"observed_at":"2026-08-15T21:53:49.171298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:49.176003Z","title":"Scaling vision transformers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.176003Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:f03f92b2714cc0b45a6b0ae424f75b2f5d91671ed836340b96899b235f14063a","observation_id":"a6204876-b711-42c9-80ad-8d8f91336dc0","resolution":{"observed_at":"2026-08-15T21:53:49.176003Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:49.179575Z","title":"Vi- TAE: Vision transformer advanced by exploring intrinsic in- ductive bias","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.179575Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:19893fed07b29dd278dbfb7253c757dbbc2aae4f47f5f58acc95624be95208ab","observation_id":"a50681d7-fce9-47dc-bbaf-0283ca56b28d","resolution":{"observed_at":"2026-08-15T21:53:49.179575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.727538Z","title":"Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions","venue":null,"work_id":"fc3482d9-425e-4f31-9d24-ace5c56b587f","year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.183542Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:4beb4ce672632e73b2814bdde8cd6880a2414526ac72409a2b03bb4e7ef18d95","observation_id":"01d5d1d4-d2fd-41c0-b57a-a1ce6a0ffeaa","resolution":{"observed_at":"2026-08-15T21:53:51.731262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.716483Z","title":"Satlaspretrain: A large- scale dataset for remote sensing image understanding","venue":null,"work_id":"32da502a-d134-46b2-a440-d2d0f5cd0542","year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.187217Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:4662e1a3ecc7f15aac85aac67ffc6d51f3f9280dc1bbdbe570a3b9682cc42fe1","observation_id":"e73f2725-0cb7-4aaa-ae41-290f7bd5ce3e","resolution":{"observed_at":"2026-08-15T21:53:51.720259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.703976Z","title":"An empirical study of remote sensing pretraining.IEEE Transactions on Geoscience and Remote Sensing , 61:1–20,","venue":null,"work_id":"0351300d-4ba5-4ff9-bbaa-64689e39ed03","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.191185Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:06ae5da9d8eaf3ead7f3e3de4e62bdb6379679597e4a40fa34238cde46ec8a5e","observation_id":"9c50e51a-e7f4-44fb-ba95-67d2265b455a","resolution":{"observed_at":"2026-08-15T21:53:51.708381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.692761Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows","venue":null,"work_id":"b6e1d564-c66c-4662-8f88-11026b1ce737","year":2021},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.196684Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:6414e4632f4c0faedff3c62a469ce4cd2b2d65ec5b00167e5567aaffa36290a7","observation_id":"f9356a3a-2e17-4240-9079-98fa4487ff7b","resolution":{"observed_at":"2026-08-15T21:53:51.696732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.680864Z","title":"Vi- taev2: Vision transformer advanced by exploring inductive bias for image recognition and beyond","venue":null,"work_id":"fa4f3354-be7f-431e-8cf0-307951b855db","year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.201160Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:c11410acc3fdb4c4dc5024e4589a1e46aa8351825e7d6d6f7693600f4a11278d","observation_id":"130328bc-2f94-429d-91d5-f492b4e1316e","resolution":{"observed_at":"2026-08-15T21:53:51.684998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:49.206963Z","title":"Spectralgpt: Spec- tral remote sensing foundation model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.206963Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:a69061d08b5de84c3b0f5109e9d83ccdd2724f250268076aa971eee5c835191a","observation_id":"e535aa5c-a606-4b6f-9c1c-6a16cb03ed62","resolution":{"observed_at":"2026-08-15T21:53:49.206963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02199","last_updated":"2023-12-02T19:17:04Z","snapshot_observed_at":"2026-08-16T14:38:12.443606Z","submitted_at":"2023-12-02T19:17:04Z","title":"USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02199","snapshot_observed_at":"2026-08-15T21:53:49.272588Z","title":"Usat: A unified self-supervised encoder for multi-sensor satellite imagery","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.272588Z"},"links":{"cited_paper":"/paper/2312.02199","citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:8416bdb7d9cffe688c14dc95531ad256c6053666aafc3c024064656610f11779","observation_id":"0327ed05-1f5a-4f75-b3cc-1d840265c489","resolution":{"observed_at":"2026-08-15T21:53:49.272588Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.669843Z","title":"CSP: Self-supervised contrastive spatial pre-training for geospatial-visual representations","venue":null,"work_id":"c3466a48-4d58-4695-92dd-4c1c86820262","year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.367025Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:9c6c17466ccfa612ba6f7bfc2c2c881e07191e85689c6cf0b512a27bced7a92b","observation_id":"5566920d-2326-4b3d-b785-e768fac731dd","resolution":{"observed_at":"2026-08-15T21:53:51.673650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.659028Z","title":"GeoCLIP: Clip-inspired alignment between locations and images for effective worldwide geo-localization","venue":null,"work_id":"fa7a72b9-2d62-4831-a907-b2ec0640b040","year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.395871Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:19d8b8ef957f43bc99538cc724932403436eab28ddff88b5cf5edd114d72f170","observation_id":"a08873be-1d95-4808-b07c-6ceb08c5c054","resolution":{"observed_at":"2026-08-15T21:53:51.662856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17179","last_updated":"2024-04-12T22:23:32Z","snapshot_observed_at":"2026-08-16T14:39:29.784765Z","submitted_at":"2023-11-28T19:14:40Z","title":"SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.17179","snapshot_observed_at":"2026-08-15T21:53:49.399882Z","title":"SatCLIP: Global, general- purpose location embeddings with satellite imagery","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.399882Z"},"links":{"cited_paper":"/paper/2311.17179","citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:77f5c0fe18c55d7d486681ad4f10228260101de0eff7c5403a47efe593259c6d","observation_id":"e20e55f9-e46e-4fc2-b8a7-ffbd193682e3","resolution":{"observed_at":"2026-08-15T21:53:49.399882Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:49.404557Z","title":"Advancing plain vision transformer toward remote sensing foundation model","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.404557Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:6b5084694e811c8fa3fcf9dd65c14f48379737c6e200d2379fc027181b134b07","observation_id":"78e91446-6bee-458f-81b4-43fc8353a774","resolution":{"observed_at":"2026-08-15T21:53:49.404557Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.641976Z","title":"RingMo: A remote sensing foundation model with masked image modeling","venue":null,"work_id":"6ec87215-7294-4213-aca9-2801a4411f35","year":2022},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.409100Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:200098ebe06a8e89783113ca229536f39efc82d87322ff5fc4462c2520724c80","observation_id":"3c619364-1a5b-4e7f-b345-76d93635769d","resolution":{"observed_at":"2026-08-15T21:53:51.645443Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.631546Z","title":"Self- supervised material and texture representation learning for remote sensing tasks","venue":null,"work_id":"5f0e6b2c-1c62-4758-a25c-2a7d0a25f251","year":2022},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.412994Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:959afc42c831f2d43d466d0394d44529b0c10833eec59b3379e65d831be89764","observation_id":"40e54208-730a-4723-8ddf-ce3b728b6a70","resolution":{"observed_at":"2026-08-15T21:53:51.635408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.620795Z","title":"Cross-scale mae: A tale of multiscale exploitation in remote sensing","venue":null,"work_id":"44c2d4a5-ae10-40c6-ab3d-742f9ff4a0de","year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.418462Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:7fdf09f36b22a1bc81a727390c70f2d25c91c56edbf047f6b675f15f3f55c330","observation_id":"950adcbf-5408-4462-9764-b7747b92eca8","resolution":{"observed_at":"2026-08-15T21:53:51.624414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.611222Z","title":"Masked angle-aware autoencoder for remote sensing images","venue":null,"work_id":"824e2041-a28b-4063-8ea2-04863198b119","year":2024},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.421550Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:94eb58195dbb64f1c32b453d2b791d668c40c050b2732b8309c575fe8b8f6151","observation_id":"4eda019a-ca20-4618-80f2-da60fc0355ac","resolution":{"observed_at":"2026-08-15T21:53:51.614175Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.601210Z","title":"Bridging remote sensors with multisensor geospatial foundation models","venue":null,"work_id":"d4adc8ed-0c91-4b0e-ada7-f444d7d54645","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.424908Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:bc103fd5557c23d93774e4df76509dcd1da5d7525ae9a80b21a81a9e90545d78","observation_id":"32c1a607-f74b-425d-a917-dd09bf0d0078","resolution":{"observed_at":"2026-08-15T21:53:51.604958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:49.429432Z","title":"Neu- ral plasticity-inspired foundation model for observing the earth crossing modalities","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.429432Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:8ce0739addbc0878c595822fa4e49101ce8f52aaa16a1a98e79a8fb252a3ca4b","observation_id":"02263c23-7200-4cef-bf1b-e880753cb9fa","resolution":{"observed_at":"2026-08-15T21:53:49.429432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.11000","last_updated":"2024-08-20T16:53:30Z","snapshot_observed_at":"2026-08-17T15:58:49.941146Z","submitted_at":"2024-08-20T16:53:30Z","title":"SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-Satellite Self-Supervised Pretraining","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.11000","snapshot_observed_at":"2026-08-15T21:53:49.433086Z","title":"SenPa-MAE: Sensor parameter aware masked autoencoder for multi-satellite self- supervised pretraining","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.433086Z"},"links":{"cited_paper":"/paper/2408.11000","citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:8a99f12133bd7aac6af4c292efe20bffb9db93f777d86edad20c25e29ffb304d","observation_id":"f4096b40-db07-4103-9b14-8846317669a3","resolution":{"observed_at":"2026-08-15T21:53:49.433086Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.590737Z","title":"OmniSat: Self-supervised modality fusion for Earth observation","venue":null,"work_id":"1545a3bc-de0e-42cb-9453-58d32dbeda74","year":2024},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.437023Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:4e43db1d107ed009e5634bc8fdd5bf12f5507f050a6d5895771394dfda940ea2","observation_id":"b8176ca9-6a98-48e9-97c2-3739826c3bfb","resolution":{"observed_at":"2026-08-15T21:53:51.594765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14123","last_updated":"2025-05-09T09:50:12Z","snapshot_observed_at":"2026-08-15T16:58:24.715389Z","submitted_at":"2024-12-18T18:11:53Z","title":"AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14123","snapshot_observed_at":"2026-08-15T21:53:49.440319Z","title":"AnySat: An Earth observation model for any resolutions, scales, and modalities","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.440319Z"},"links":{"cited_paper":"/paper/2412.14123","citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:a3ac7b28a6faa2a5566b658ee32fc38d731c936576c5579cf43209d060a8987c","observation_id":"b14bb7a8-cf67-4b4d-8aed-1a6c41d6dfa9","resolution":{"observed_at":"2026-08-15T21:53:49.440319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.580265Z","title":"Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning","venue":null,"work_id":"ae0470c5-5c90-4350-b609-73a2513f67d9","year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.457631Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:60189d22a9a9bb541d3b43ac709c796a178d237d977d77fceaa587951d894c15","observation_id":"268dbc9f-e67a-40a4-95d9-6b65a93b1318","resolution":{"observed_at":"2026-08-15T21:53:51.583946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.568806Z","title":"Towards geospatial foundation models via con- tinual pretraining","venue":null,"work_id":"6cc83799-de7f-4551-aaa4-2a493f405a6e","year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.493521Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:3262e03369a89a230200dcbb4634c4dcd4df7265bd7c949f25f3ab895bd2c7f7","observation_id":"43eb0321-eeaf-4832-8d19-03910103a210","resolution":{"observed_at":"2026-08-15T21:53:51.572551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.558229Z","title":"MTP: Advancing remote sensing foun- dation model via multi-task pretraining","venue":null,"work_id":"b08cf6c0-263c-4cae-97bd-260550616b52","year":2024},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.515848Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:210391990f0b2e5a9e2ee29af6e26831fac1ea499a90f09e31b6c541acdc4329","observation_id":"e4f1f995-125c-4f97-bd0e-387fa7b6f47e","resolution":{"observed_at":"2026-08-15T21:53:51.561795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.547047Z","title":"Consecutive pre-training: A knowledge transfer learning strategy with relevant unla- beled data for remote sensing domain","venue":null,"work_id":"3eb7297f-7a86-489c-86be-8fc5b44852ba","year":2022},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.519588Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:09cd5b479c6f48f49ccad14aa81900255245413f40ecd269e285d322ab2f73e1","observation_id":"98073a12-2ff1-4549-9a27-dc20742cf124","resolution":{"observed_at":"2026-08-15T21:53:51.550867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.535764Z","title":"TOV: The original vision model for optical re- mote sensing image understanding via self-supervised learn- ing","venue":null,"work_id":"685408f4-eb25-4a64-975c-edd0515848c7","year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.523092Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:dbd411e59817e6facbe20e41a685283abce6f742e57f07ff945d80f55cf0fb56","observation_id":"3de07a70-b2c4-4c82-93b0-a56e5205a089","resolution":{"observed_at":"2026-08-15T21:53:51.539799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.524458Z","title":"CMID: A unified self-supervised learning framework for remote sensing image understanding","venue":null,"work_id":"b98975ff-f0a1-4f6a-9e11-6979003d4f9a","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.526873Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:029118e00dd2fb30141d273f14ed1778a8c870a9b14f1faeb2c4743441da3ce9","observation_id":"ad4663f1-7360-4c1e-9229-83c75e0267a7","resolution":{"observed_at":"2026-08-15T21:53:51.528327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.513483Z","title":"Change- aware sampling and contrastive learning for satellite images","venue":null,"work_id":"e997bcb3-b562-47bd-87a4-b698fd4f3e22","year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.530772Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:3b409b6c26dadc8923bd23002734cb0b3388e1ba7da130a49e5873eb432367b3","observation_id":"8e63f23c-cd33-42ea-81d2-dd268d837313","resolution":{"observed_at":"2026-08-15T21:53:51.517169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.08079","last_updated":"2024-06-16T04:05:25Z","snapshot_observed_at":"2026-08-16T13:43:49.298560Z","submitted_at":"2024-06-12T11:02:15Z","title":"A$^{2}$-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.08079","snapshot_observed_at":"2026-08-15T21:53:49.535011Z","title":"A2-MAE: A spatial-temporal-spectral unified remote sens- ing pre-training method based on anchor-aware masked au- toencoder","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.535011Z"},"links":{"cited_paper":"/paper/2406.08079","citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:e187234cc26749379483d9ffd29f231cf44b4e2c64844e3646d272a9b0e25a19","observation_id":"f87713e4-3fd4-4008-8f41-cde3a26d134c","resolution":{"observed_at":"2026-08-15T21:53:49.535011Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.502445Z","title":"SSL4EO- S12: A large-scale multimodal, multitemporal dataset for self-supervised learning in earth observation [software and data sets]","venue":null,"work_id":"785fe9db-5c09-4958-92a3-423a7f45ba45","year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.539209Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:c85f5b0598241e4f29919def4894d60f9c02474f2c770f4e18ab77dd221bbbfe","observation_id":"4fdb6542-093e-4e86-b148-64450471ab1b","resolution":{"observed_at":"2026-08-15T21:53:51.505954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.02512","last_updated":"2024-10-18T08:25:52Z","snapshot_observed_at":"2026-08-16T13:55:29.398540Z","submitted_at":"2024-05-03T22:55:56Z","title":"SatSwinMAE: Efficient Autoencoding for Multiscale Time-series Satellite Imagery","version":2},"cited_work":{"arxiv_id":"2405.02512","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.02512","snapshot_observed_at":"2026-08-15T21:53:50.213344Z","title":"SatSwinMAE: Efficient Autoencoding for Multiscale Time-series Satellite Imagery","venue":"cs.CV","work_id":"2fb9ebea-6575-47b4-b19f-ab5533783bcb","year":2024},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.543510Z"},"links":{"cited_paper":"/paper/2405.02512","citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:9d7fdefc8c338e2c337aaebe2e313c6454b66145b5dc31a8910ac5adc3e69133","observation_id":"374ee5ec-1ba8-4a6a-a387-8e85095a09e6","resolution":{"observed_at":"2026-08-15T21:53:50.218643Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.491289Z","title":"Attention is all you need","venue":null,"work_id":"77c406fd-953c-46fd-9974-ef40a9490286","year":2017},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.547754Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:452a53e0a278456cac86cc874b5024aaea3e8dd0f79963bddccbee52202df4b0","observation_id":"d90f8648-85bf-42d2-a885-6f08b681087a","resolution":{"observed_at":"2026-08-15T21:53:51.495126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.479707Z","title":"MViTv2: Improved multiscale vision transformers for classification and detection","venue":null,"work_id":"d408e09d-dcb7-4661-a1a8-be0bfb2e9152","year":2022},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.551483Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:303ad7161d8f6a95518900b4cd9340d4d0db61b145c2b32cc0a618a118b0b37e","observation_id":"b1196526-dcdc-44fc-93f2-db9364db484a","resolution":{"observed_at":"2026-08-15T21:53:51.483950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.469508Z","title":"Exploring plain vision transformer backbones for object de- tection","venue":null,"work_id":"201b1288-0051-49cf-be9b-79080c828c06","year":2022},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.555758Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:6df10fbb9583e5255fddea52807d2d0582be585c8e37b62acdb832e6ab64fd04","observation_id":"6a4a63f2-007c-4365-8c0f-60caed96636b","resolution":{"observed_at":"2026-08-15T21:53:51.472664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.04738","last_updated":"2023-06-07T19:20:01Z","snapshot_observed_at":"2026-08-16T15:25:42.206421Z","submitted_at":"2023-06-07T19:20:01Z","title":"MultiEarth 2023 -- Multimodal Learning for Earth and Environment Workshop and Challenge","version":1},"cited_work":{"arxiv_id":"2306.04738","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.04738","snapshot_observed_at":"2026-08-15T21:53:50.182727Z","title":"MultiEarth 2023 -- Multimodal Learning for Earth and Environment Workshop and Challenge","venue":"cs.CV","work_id":"0cb930e8-f438-4e71-ae4d-de8b90c1327d","year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.560211Z"},"links":{"cited_paper":"/paper/2306.04738","citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:5d58ad0fc0d60eb315ad2151f46d2707df5f4e61fbeb50f5d353a915fe7c83b1","observation_id":"91f34b89-9045-4754-b023-6afa04710262","resolution":{"observed_at":"2026-08-15T21:53:50.198103Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:49.575462Z","title":"Multi-temporal land cover classification with sequential recurrent encoders","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.575462Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:cb353d421a6bd7a5259af95b194136f7ea8d6c66cfe05cfbf3033bc1f2e70820","observation_id":"49cae385-a3d6-4853-9a5d-7a1be2b7f5e4","resolution":{"observed_at":"2026-08-15T21:53:49.575462Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.449750Z","title":"Sen12-flood: a sar and multispectral dataset for flood detec- tion","venue":null,"work_id":"54479eee-089f-4757-ae7f-3fbf5617b622","year":2020},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.605169Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:df5babbbf4ea99d4f85012e5c60ef793933b4a95cec79abe7bc38b541b6f4735","observation_id":"9b392f51-d4b8-4179-86db-fa035655c76d","resolution":{"observed_at":"2026-08-15T21:53:51.454757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.437627Z","title":"Kuro siwo: 33 billion mˆ2 under the water","venue":null,"work_id":"ba3c108b-c0db-475f-894c-590352045a5e","year":2024},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.649143Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:ae86d66bedad2844ae3d22328eb2ef44c8484e6eb11c0e15604be417282cb137","observation_id":"1a9011f5-990c-418e-ac03-c1b6bbcaa9b7","resolution":{"observed_at":"2026-08-15T21:53:51.442154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.424261Z","title":"Can foundation models wrangle your data? Proceedings of the VLDB Endowment, 16(4):738–746, December 2022","venue":null,"work_id":"dedc5825-faca-40e1-93cd-b1f9a7bb8cb1","year":2022},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.666804Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:8ab4850abf3338405b01c819f7c71428d90dd64337246bb215fc09ea12cec9f9","observation_id":"8fa96e7f-b494-4082-be0c-9bc8df3bca6a","resolution":{"observed_at":"2026-08-15T21:53:51.428813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.412502Z","title":"Towards foundation models for scientific machine learning: Characterizing scaling and transfer be- havior","venue":null,"work_id":"b47102dc-b89a-4b4b-8a31-49ff1246e685","year":2023},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.671379Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:c67d11619ab3a6d787fdfbc1d943561db02239e57b4738308afe902b92445e10","observation_id":"ecdf30e1-23f3-4fbd-8895-dde518fa7f6a","resolution":{"observed_at":"2026-08-15T21:53:51.416021Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.401568Z","title":"12 2019/07/31 2020/08/04 2021/05/06 TiMo-BaseGTImage TiMo-Large Deforestation Forest Figure 8","venue":null,"work_id":"0fdeefd3-3f6b-4912-88a4-80836046b62e","year":2019},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.675753Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:084e43fc1c96865ef0355cd44f517dfbae8f97dd70da53a25819512548e37e06","observation_id":"36ea1a62-d35a-481c-93b4-8f233780440b","resolution":{"observed_at":"2026-08-15T21:53:51.405478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.388496Z","title":null,"venue":null,"work_id":"1a1d50a8-9637-441f-abbb-b1fcd3e63a31","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.679649Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:a26f885b088ea4afd7f91574918656f27781e115394ae1c7d9d7bf8d67b4ff0b","observation_id":"2ad12b6d-a97b-4701-88ad-d7b0b8b9365b","resolution":{"observed_at":"2026-08-15T21:53:51.393273Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.376676Z","title":null,"venue":null,"work_id":"19dcb031-9bd7-410c-8b39-7ff54176831b","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.683954Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:ed29c84868d960327a693a5977a975fd2282219865a91d6289f0632eb0be9bd4","observation_id":"472bee27-c7d6-49e0-b8ba-35e0b6def170","resolution":{"observed_at":"2026-08-15T21:53:51.381323Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.365393Z","title":"A1: MillionST is comprised of image subsets captured by the Sentinel-2 satellite","venue":null,"work_id":"3831d734-5d8a-48e0-ac3d-ff74f9030a04","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.687736Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:386bfa5263a0da80e6acf1cf4ebdda764f87b03b1b1908a6bae8170708cc000e","observation_id":"67c12c35-a894-4031-bb47-84d0369ecef0","resolution":{"observed_at":"2026-08-15T21:53:51.369016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.353230Z","title":null,"venue":null,"work_id":"eb035ae6-c602-41b0-91ab-e23f7a5e2ae3","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.692032Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:f56891716fd7696c5894d7f416b2e7560d87bed47480bade9f9e05840c7b13e8","observation_id":"817354c3-bfe0-4744-9700-f676a51f5f48","resolution":{"observed_at":"2026-08-15T21:53:51.357796Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.340049Z","title":"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)","venue":null,"work_id":"259dcd4f-866c-4e8b-8d17-998e90ffe887","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.696095Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:2b8d3c438184dc40d8f1499e1cc3cc69014c87bbf29ff731c191d5a6b1cd6701","observation_id":"cd29a0ba-9691-4abd-8368-890133311aa8","resolution":{"observed_at":"2026-08-15T21:53:51.345230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.327711Z","title":"Visualization of the prediction results on MTLCC dataset","venue":null,"work_id":"a831a461-a634-46d3-b6a0-76d6064d8445","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.700116Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:d2480ac2bb551fe9be57cb439896654d2b0f8313b466eff39a3b27f3ed96942f","observation_id":"458451bf-3237-4ce1-8400-bdb1dcd7c6e1","resolution":{"observed_at":"2026-08-15T21:53:51.331937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.315871Z","title":"A5: No, since this dataset is intended for spatiotemporal self-supervised learning","venue":null,"work_id":"c1cc5555-dc6a-453f-a38b-a54a5f3227f7","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.704673Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:a7831ccda876c18da5e9b353c5981bf01a3e75812d04f201e25bf2c1a5e622fa","observation_id":"64f21273-d401-47a1-a53a-924a964ea8fe","resolution":{"observed_at":"2026-08-15T21:53:51.319875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.304652Z","title":"This does not include intentionally removed informa- tion, but might include, e.g., redacted text","venue":null,"work_id":"52bfec1a-ffc6-4ca0-90d5-b46f5c253a0b","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.726852Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:eb5c8388358d53090fb3cdf31dd3025b8b67fb3d4c7adc35e217f6502f07736d","observation_id":"0ea230ad-0911-4eb7-b8ac-627f43f98c22","resolution":{"observed_at":"2026-08-15T21:53:51.308603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.294031Z","title":null,"venue":null,"work_id":"faffe467-bcc7-457a-93ac-1d7d25913cf0","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.753495Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:f4b1a3f6ecbe727022068b4d76abe16114d7e2807c2d806af88f524bdf26b8ab","observation_id":"b20127a3-c056-40d4-be5a-63c891c9b61f","resolution":{"observed_at":"2026-08-15T21:53:51.297811Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.282947Z","title":"A8: Yes, we recommend utilizing the whole dataset for spatiotemporal self-supervised pre-training","venue":null,"work_id":"ba9d5e05-4180-40a6-94ac-97b4a46d60e5","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.778941Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:d9c4b2471dfae2e85a81f7173484a39dcf4fc49e1bbf0414bc774701a4c089bf","observation_id":"838699c9-2987-48c7-b988-981599308b70","resolution":{"observed_at":"2026-08-15T21:53:51.287074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.272084Z","title":null,"venue":null,"work_id":"54db3ca4-03ce-4149-894e-3dc075f9c468","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.806016Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:3df3d548419c84ee59ba20434322b628e6f4d20eb14cdd9195b8edc88e950c21","observation_id":"5e982491-ae70-4fcd-9101-3fd279932c58","resolution":{"observed_at":"2026-08-15T21:53:51.275663Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.259170Z","title":null,"venue":null,"work_id":"3f8cf0a4-290c-4903-8d66-a33873e8cb8f","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.836244Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:e8c75e91fa7396bbcd25eac0528c2e3dee8d96706efa1ea710ddda73d1922c3c","observation_id":"6a7c1568-9085-4029-8417-790b8119d9d2","resolution":{"observed_at":"2026-08-15T21:53:51.263167Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.247812Z","title":null,"venue":null,"work_id":"c954a1f4-6dac-472b-ba3a-f2c9e9c36a10","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.872442Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:425b1c48236688a759d795b242e842bad772f3aac6e1a70a9e0eb6c31a15263c","observation_id":"4c2f04f5-0529-4863-a17b-46da8ee86e1d","resolution":{"observed_at":"2026-08-15T21:53:51.251474Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.235703Z","title":null,"venue":null,"work_id":"a078320a-0aed-4530-b18a-d1cf3331eed7","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.875690Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:77bb96affee3b3054b9ea0c3750bd4751f452e53829ee663d281b08e56665b36","observation_id":"2ae13e06-0bb1-4152-ad86-fa98fb841438","resolution":{"observed_at":"2026-08-15T21:53:51.239667Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.223271Z","title":"A1: The data associated with each instance are directly observable, as they are stored in the GeoTIFF format and can be accessed via Rasterio","venue":null,"work_id":"11821992-6cf1-47ba-8ab8-c4877bab67f9","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.880075Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:497cf5d603b1a9bdcf3a9f2c5ff102678f70cce218449b8b4a1296b3bf8cbb2b","observation_id":"a85bce60-73ac-42d8-9421-7e6f49695074","resolution":{"observed_at":"2026-08-15T21:53:51.227305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.211854Z","title":"All operations are controlled by Python scripts to operate the Google Earth Engine","venue":null,"work_id":"82a5e887-4604-47a8-9eda-471bdbe26927","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.883851Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:6b6b3b569418e8874ccb390e548a354afb28be0804f2f076e9ead06494a9025a","observation_id":"58aa3631-b976-46da-9124-e209836dc8f8","resolution":{"observed_at":"2026-08-15T21:53:51.215630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.193823Z","title":"Spatially, for each sample, the process begins with uni- form sampling from 1,317 cities in Europe, North Africa, and West Asia","venue":null,"work_id":"a5d806c5-9d70-48e8-ab17-74d89903d457","year":2017},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.887728Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:afadd1e600881cd4860e54983594a9e66f7b9edd1bd02d032c70932b29ebe8a6","observation_id":"caf58dde-4e18-43ef-a3ad-00b449374a31","resolution":{"observed_at":"2026-08-15T21:53:51.197863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.178423Z","title":null,"venue":null,"work_id":"f5fc8d12-2b8d-43e5-9a46-8dbf17ebd63a","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.891799Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:03de0ff4e734347c85767ebac387f274d5aade4b7cf1ddc6a7de0bbc609cbc7b","observation_id":"1a488009-1ab1-4aa2-9bc2-02c0be3df1a3","resolution":{"observed_at":"2026-08-15T21:53:51.184224Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.149139Z","title":"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","venue":null,"work_id":"39fc5df7-b9f3-4048-b2ea-303e1f6069b9","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.894840Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:581c013766dd7cd8f58d6bf8d20d3c3d2ab82edcb29c27e85b0816a9a57c9434","observation_id":"1d7bc73d-9cd6-480b-bcc3-d370ef97fa7c","resolution":{"observed_at":"2026-08-15T21:53:51.163455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.124833Z","title":"If not, you may skip the remainder of the questions in this section","venue":null,"work_id":"228a4dcf-c35a-4b12-b70e-a86c97ea68e3","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.898800Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:d7f3c405ea3595af783b379d030eb02252985c2f161f1eeeb2a55569a2a5122b","observation_id":"c6185cd4-ac15-414e-8f61-98ca6eb6b73a","resolution":{"observed_at":"2026-08-15T21:53:51.128277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.113471Z","title":null,"venue":null,"work_id":"7df9f39d-290b-4e12-be5a-405fb45837e2","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.903170Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:3124750981412b18e40c68c1cb358f9870280068629b7b94bc2adba6b0af3221","observation_id":"e015eede-10b8-4827-9fc7-ae0b5d02d04f","resolution":{"observed_at":"2026-08-15T21:53:51.117054Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.100926Z","title":null,"venue":null,"work_id":"e2ec5b4d-7307-4fca-bc7a-4948c0fc33f3","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.907352Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:de4406c1cdcf3355adea1a60180aa087e6a4a144e11399b30f32c40bf5c63d2f","observation_id":"e7902f30-1c1d-47b2-8f4f-deaa4f185da0","resolution":{"observed_at":"2026-08-15T21:53:51.105660Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.051145Z","title":null,"venue":null,"work_id":"2cfc962b-1393-4951-97ef-6e70e595daa7","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.911688Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:6bfd314c6781576e7c46edcde2094e0648bd92e0e50974a860388df7b392f140","observation_id":"23bae0b1-f17c-454e-9ae1-fb4cf27e317c","resolution":{"observed_at":"2026-08-15T21:53:51.074037Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:49.915860Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.915860Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:72f641b932c38515965c4ff6d842fe667b54422619404b491e8a1702f0cd1799","observation_id":"2eec17e0-cc88-4956-aaa6-84974cd88003","resolution":{"observed_at":"2026-08-15T21:53:49.915860Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.030570Z","title":null,"venue":null,"work_id":"06775a7c-b06a-4c2f-8783-1d6ca73332d2","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.920355Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:f4ed274c9fc371cb3f9b23d597f38964e602d83db35bd57b770959194c1d0a1c","observation_id":"e85467db-90e1-4544-80ba-cc8f841c8eb8","resolution":{"observed_at":"2026-08-15T21:53:51.034966Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.018051Z","title":"Is there anything a future user could do to mitigate these undesirable harms? A4: No","venue":null,"work_id":"ce1c5a83-2a99-41a0-a990-91b926a02921","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.923906Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:8965516b5266765f8147aca7f47cdc9142cd4cb7396718e927dcedc9d17b2970","observation_id":"ef924e63-0487-4667-b79d-f757ddf7980f","resolution":{"observed_at":"2026-08-15T21:53:51.022191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:51.006031Z","title":null,"venue":null,"work_id":"f42fecfb-c195-4d44-96f4-5e88f16e0078","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:49.933879Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:7ed7018b9616b00b5c63ef4e5a7c1f7da003fc60045333e3ba162143cec4f675","observation_id":"c9d8064b-1219-49fc-8182-51dce5744996","resolution":{"observed_at":"2026-08-15T21:53:51.010039Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:50.945256Z","title":null,"venue":null,"work_id":"73179b9c-19d3-4227-b07b-98de4a2e1ef9","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:50.002464Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:70d7f9da6d5ec2bb2d6ae6ea812244a6652d4c5fc15d17938cb2a9e550eec642","observation_id":"8c6f3697-6e75-4d82-9523-e449e0c4c071","resolution":{"observed_at":"2026-08-15T21:53:50.972164Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:50.932316Z","title":null,"venue":null,"work_id":"cf185c5e-d1e7-412a-82dc-d63afe2389a5","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:50.052785Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:779bbc16d255509b1ae0bb0b49323a81aef0dffbd1c73f0340ee8fa2e3c66e91","observation_id":"83877aed-cbbd-4a61-a40a-af95d73634b5","resolution":{"observed_at":"2026-08-15T21:53:50.936415Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:50.919837Z","title":null,"venue":null,"work_id":"430d0947-c095-4b67-a63a-188b3dc2fad8","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:50.071153Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:7b204f1fd57153fefebfcb39287cab1c2289cc0ee273ea6046ebc1fa358c02a7","observation_id":"09ba3cd8-0a36-42a7-9b15-512c2d52a913","resolution":{"observed_at":"2026-08-15T21:53:50.924125Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:50.843091Z","title":"A4: It will be distributed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License","venue":null,"work_id":"36b99c6b-f1f5-4611-9e88-03a8eeb4b3e5","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:50.075347Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:fde0540e74fb99e6b573f81736d6de602329380bb1ff32d34c2f7fd3e7ca152d","observation_id":"94e7ec17-6aeb-4ccb-b0f6-8c5391af2f70","resolution":{"observed_at":"2026-08-15T21:53:50.877650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:50.831484Z","title":null,"venue":null,"work_id":"094611d6-fc3d-46ff-bc03-70687f06bd6a","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:50.079227Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:0de36ec5a06c580a56a703060ec13f4b8fd9b1114f2050e0d0dfb92d1d96c5ad","observation_id":"81fae90b-db92-4fdf-bbcc-648363841649","resolution":{"observed_at":"2026-08-15T21:53:50.835467Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:50.816844Z","title":null,"venue":null,"work_id":"1a76db97-3041-45dc-97c7-60b42cb00ca7","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:50.083565Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:138c0ca13cf8fea6d5f31968a9d85fbb146a3b4844ce3554734a19ef96f3f3ca","observation_id":"ee8c8ba8-af22-4dc1-a1c6-a287090776ae","resolution":{"observed_at":"2026-08-15T21:53:50.823146Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:50.087247Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:50.087247Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:4d360ce9c5eccad1e954ae7768d9d2ef7cd20fae484fbc7e812fdda5cfc3f2a5","observation_id":"8bee031f-91cc-4ba0-ba42-10a5f0e35988","resolution":{"observed_at":"2026-08-15T21:53:50.087247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:50.714624Z","title":null,"venue":null,"work_id":"25145a04-2d20-4698-9df3-d55ec10725f4","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:50.090939Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:83d8f9aec0e368f951f05253aa8b7ec6e35ba5e0f50c40f04dcce4979604731f","observation_id":"020d6489-aec4-4b38-a143-8da284dcea23","resolution":{"observed_at":"2026-08-15T21:53:50.777633Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:53:50.698330Z","title":null,"venue":null,"work_id":"cd86a6ae-13e8-4c52-b47e-7d4dac5891b7","year":null},"citing_paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-15T21:53:50.095176Z"},"links":{"citing_paper":"/paper/2505.08723"},"observation_digest":"sha256:3c31ec83acca43e69cd4e91fa8200041a9898625868b92b3f34f0846adf67cff","observation_id":"87115e29-8067-4bfc-abaa-83c4a9bab115","resolution":{"observed_at":"2026-08-15T21:53:50.704058Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.08723","last_updated":"2025-05-13T16:35:11Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T21:45:31.205290Z","submitted_at":"2025-05-13T16:35:11Z","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":56,"verified_exact":2,"verified_fuzzy":42},"total_outbound_references":103},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 100 of 103 outbound references and 1 inbound Pith citation observation for arXiv:2505.08723."}