{"as_of":"2026-08-18T01:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d321c674e2488c36d93322024dee3417a4ddd4eaa46e541b14a35d4d313ad605","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T22:03:27.955448Z","state":"measured"},{"denominator":61,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":61,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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":"2026-08-11T16:19:58.533293Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-11T16:19:58.570883Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"2412.03968","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.03968","snapshot_observed_at":"2026-08-11T16:19:58.570883Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","venue":"cs.CV","work_id":"ff24c059-fcba-4a30-95a0-db73f87050cb","year":2024},"citing_paper":{"arxiv_id":"2412.10181","last_updated":"2024-12-21T07:14:47Z","snapshot_observed_at":"2026-08-14T08:55:48.560837Z","submitted_at":"2024-12-13T14:53:07Z","title":"Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer","version":2},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-11T16:19:58.533293Z"},"links":{"cited_paper":"/paper/2412.03968","citing_paper":"/paper/2412.10181"},"observation_digest":"sha256:f459526e574d8b1114382c83616e3f9d6fa3195b1a0b06c9d61b11a6bc067502","observation_id":"42dbd553-bae7-40e3-af74-6ddd65ff8865","resolution":{"observed_at":"2026-08-11T16:19:58.577882Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.03968/citation-record","integrity":"/paper/2412.03968/integrity","json":"/paper/2412.03968/citation-record.json","paper":"/paper/2412.03968"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:03:30.798859Z","title":"Learning pixel-level semantic affinity with image-level supervision for weakly supervised semantic segmentation","venue":null,"work_id":"b94918a0-47c7-4fbf-ab32-e70d1a447341","year":2018},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.485089Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:151968fc79cbd0764d623e58ea21707a5b2f815dbc6ffc5d4f63bb0ce9068d90","observation_id":"6475e9bb-4932-4e99-a5d2-24f5a964e81c","resolution":{"observed_at":"2026-08-11T22:03:30.803982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.784101Z","title":"Weakly su- pervised learning of instance segmentation with inter-pixel relations","venue":null,"work_id":"14a496fb-0fd5-42d8-a5ba-216ef5869882","year":2019},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.516619Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:0878563b67b9f801462f1011f2e3f5313cb5cf2206587369b1bcc969babd5d23","observation_id":"0f9f939b-85fe-4134-831e-c5cdff9154da","resolution":{"observed_at":"2026-08-11T22:03:30.789435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.769903Z","title":"Single-stage semantic segmentation from image labels","venue":null,"work_id":"64603962-20ac-44a5-9eee-8a47434b14da","year":2020},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.539785Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:401c239f03eaa008ec4035cd75f68c7d16bef92262be26391f79dae5af6bb3d4","observation_id":"f223a9a4-33ce-46e9-b395-2cbd43997d58","resolution":{"observed_at":"2026-08-11T22:03:30.774428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:26.544248Z","title":"Self-labelling via simultaneous clustering and repre- sentation learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.544248Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:ebc4dea5e0bf30d81a37b7ed05208747b8bf2b49e51918cadf9ea4bb1d086b85","observation_id":"ec580af6-7e61-4104-8f5c-bdcb7a9e4554","resolution":{"observed_at":"2026-08-11T22:03:26.544248Z","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":"2026-08-11T22:03:30.685576Z","title":"Omnisat: Self-supervised modality fusion for earth observation","venue":null,"work_id":"6df8ac4c-b254-43a6-9a1d-7d9e9562f751","year":2024},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.548783Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:438e21482e306e39371e5ed7784b7ced93291539c4293f4b61e457879372597e","observation_id":"74566824-3b8f-4548-9839-8cd18ece9dac","resolution":{"observed_at":"2026-08-11T22:03:30.731357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.540676Z","title":"Multi- modal learning for geospatial vegetation forecasting","venue":null,"work_id":"6cffecce-b218-4a26-8d65-9a08dedd46cc","year":2024},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.553901Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:6183cadf93a41ae71e4f64195a2b781e5895e34b2e7e373b67149651257513e0","observation_id":"d7b76b24-eb1a-4295-86ed-a49208d0a541","resolution":{"observed_at":"2026-08-11T22:03:30.597702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.526956Z","title":"Unsupervised learn- ing of visual features by contrasting cluster assignments","venue":null,"work_id":"ca9e5af8-f8d0-49a7-bd82-9d852497eb4b","year":2020},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.606986Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:e4ea4b2ac9376ef911996461ce461984175d2feb0dd4dd239d5c4dd7635b056c","observation_id":"79c0fefd-220d-434b-8ba1-321f2e789f63","resolution":{"observed_at":"2026-08-11T22:03:30.531404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.512715Z","title":"Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks","venue":null,"work_id":"23701453-94a7-487c-a649-e48aeaa1e1ab","year":2018},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.664980Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:6ca351261c8d3d1c2eabc5a0c6ebc686b788b289e87fffb837fc23eaba2172bc","observation_id":"63356484-fcca-44db-b204-d2f47ebdf611","resolution":{"observed_at":"2026-08-11T22:03:30.517914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.498714Z","title":"Fpr: False positive rectification for weakly supervised semantic segmentation","venue":null,"work_id":"28c95baf-48b5-4bc0-a76c-46107870c192","year":2023},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.706736Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:4e0190600b3322c5f867229be00d1fd8e403945057f9a28581893b6ba8540308","observation_id":"3dba36f7-975f-4b01-ba36-30ce38092b2c","resolution":{"observed_at":"2026-08-11T22:03:30.503361Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.485554Z","title":"Self-supervised image-specific prototype exploration for weakly supervised semantic segmentation","venue":null,"work_id":"3fcfe28b-ebc7-4bf9-908c-c20690e82b37","year":null},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.755112Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:2798713e995575b2d0bfeaad7725920b76bd33de9793bf482fd76c5e19022b34","observation_id":"79dee626-03d0-4f3e-b844-46b4d9a5634b","resolution":{"observed_at":"2026-08-11T22:03:30.489933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.469826Z","title":"A simple framework for contrastive learning of visual representations","venue":null,"work_id":"99595734-57f2-46ab-a0e9-88fc34bac2cf","year":2020},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.764886Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:5670fb69c8db07f43fa6a11fa7bdd3d87f0d2e329c11b081531822c1b248efdf","observation_id":"ecf4b5ac-7301-4b67-99d5-d2dcc8619ce9","resolution":{"observed_at":"2026-08-11T22:03:30.476337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.456628Z","title":"Knowledge transfer with simulated inter-image erasing for weakly supervised semantic segmen- tation","venue":null,"work_id":"3f5f43ef-5260-4abd-badf-d07558374a35","year":2024},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.780740Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:3c6da818ed168b4a5e91cc6c91c8d2dc241d261c7f653de639a1bdc1ff2a52cb","observation_id":"94e09e6b-87ff-4877-b2db-78e86a450912","resolution":{"observed_at":"2026-08-11T22:03:30.460953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.431411Z","title":"Extracting class activation maps from non-discriminative features as well","venue":null,"work_id":"2ad06bd8-b901-46da-b595-fbf79360e4c1","year":null},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.787056Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:e5bf16bd89c80760f7176d2fe4c7c636134b522b579dce5aa5ccefa2dd47d627","observation_id":"f4a3b273-d9ad-47bb-8e0b-fefe85d02730","resolution":{"observed_at":"2026-08-11T22:03:30.443628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.273049Z","title":"Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery","venue":null,"work_id":"b2df729b-76c9-4f5d-845e-bfad8b8e627c","year":2022},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.791687Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:3756ff9628f2fd4e03b3155f92b819ff349bb8794f0f191d200b852dd0d748f2","observation_id":"caf10350-30ef-4da8-8ccd-1c0c63a58572","resolution":{"observed_at":"2026-08-11T22:03:30.333465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.186904Z","title":"Sinkhorn distances: Lightspeed computation of optimal transport","venue":null,"work_id":"ff2bf011-75b6-4cda-aaeb-90bec762bffb","year":2013},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.796808Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:1f9f0cb79cb34b642e167dc7896a91d66c784b3e3d42e538c88b167651c7e3ba","observation_id":"61bbc4c7-2792-46b5-a6a1-4ebb89ff0168","resolution":{"observed_at":"2026-08-11T22:03:30.217374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.172403Z","title":"An image is worth 16x16 words: Transform- ers for image recognition at scale","venue":null,"work_id":"2b142086-593c-4c8e-912f-4db59c2f8723","year":2021},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.898864Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:504aeb8e68f07e245b0d4d97ecaa8a9268adf65765b2c0f571716137585dbcbb","observation_id":"57e58c18-86cf-428c-b5bd-58fdb7bd9c13","resolution":{"observed_at":"2026-08-11T22:03:30.177107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.158900Z","title":"Sentinel-2: Esa’s optical high-resolution mission for gmes operational services","venue":null,"work_id":"0c2a0f82-5c99-4144-b6da-82645374107c","year":null},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.966398Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:966a9662051c807f589c4920d2d992f319e7654ec660b2af50d570b159932fc7","observation_id":"b3bf348a-6b5c-4dce-b444-0cdb62651b58","resolution":{"observed_at":"2026-08-11T22:03:30.163064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.144842Z","title":"Weakly supervised semantic segmentation by pixel-to-prototype con- trast","venue":null,"work_id":"a64b527f-385e-4b14-8b07-e7e4a68eb688","year":2022},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.974444Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:5e4379b748af33c2c3c72d042c0c90e85a513ba13b7e50cfc9682d3019e4cfeb","observation_id":"abeabe97-0dbc-434a-b414-c305307bfcc1","resolution":{"observed_at":"2026-08-11T22:03:30.149811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.130024Z","title":"Ts-cam: Token semantic coupled attention map for weakly supervised object localization","venue":null,"work_id":"12e4db41-ba78-4272-9df8-70b62e64e70d","year":2021},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.979738Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:20890fa52a8342107015b2178d7dbf9963fcaed9004022e49461fc3df6b287ad","observation_id":"3bf6bea2-b9ee-4a08-9e30-f97cf6ba92b8","resolution":{"observed_at":"2026-08-11T22:03:30.135070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.115049Z","title":"Panoptic seg- mentation of satellite image time series with convolutional temporal attention networks","venue":null,"work_id":"e0842e89-a8db-43b0-b569-dc11cabe64d2","year":2021},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.984314Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:2f4b31e39435f4f75fa5f149346725bc9e75460be650160fd29f6792e7eb83b4","observation_id":"9f3e058a-9187-4595-82b0-7f4bea4633a5","resolution":{"observed_at":"2026-08-11T22:03:30.120170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.094931Z","title":"Satellite image time series classi- fication with pixel-set encoders and temporal self-attention","venue":null,"work_id":"b02793d7-8fa1-4f1f-adec-10da0867d1eb","year":2020},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.988692Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:41f8bdf284581c8f79a77be45fc39b0e45dd2bb7d504270471949738b64ca360","observation_id":"9b5785e4-ea0f-4075-9156-a719f5460c3c","resolution":{"observed_at":"2026-08-11T22:03:30.104217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:30.078620Z","title":"Skysense: A multi-modal remote sensing foundation model towards universal interpretation for earth observation imagery","venue":null,"work_id":"21a59a1f-1825-4569-aeeb-fb8808b2d787","year":2024},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:26.993000Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:1a89b0a65e7f68f4da37c1a4a67b90f7fc5a79d8e3f85a76fc62fc786f74a6e7","observation_id":"12a08195-6d6d-49af-8939-900587f2b13c","resolution":{"observed_at":"2026-08-11T22:03:30.084252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:29.946916Z","title":"Feature selection of time series modis data for early crop classification using random forest: A case study in kansas, usa","venue":null,"work_id":"604df35f-5657-429a-8cac-b291b0a07cd5","year":2015},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.040248Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:5cc06fc814a45ce359c3bb13147252ba6be6bb14ce45bb929ccdee0a4e5ffa31","observation_id":"381b4a48-76d7-48d9-a0b1-843864de4909","resolution":{"observed_at":"2026-08-11T22:03:29.987437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:29.823665Z","title":"Efficient inference in fully connected crfs with gaussian edge potentials","venue":null,"work_id":"f2c843b3-18fb-4190-aed2-5b2b2826fe67","year":2011},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.066820Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:be026b6952d8a3a11f6c0b82afd6cdd931d54699466eff3d799da03c718a6a88","observation_id":"a07eb4ea-3bec-4609-b562-c522215686ac","resolution":{"observed_at":"2026-08-11T22:03:29.865093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:29.806728Z","title":"Label-efficient segmenta- tion via affinity propagation","venue":null,"work_id":"15b2c2e5-bc32-458b-a908-2bedf7c88a68","year":2023},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.139984Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:c0cbe7d966044056d220caaf9a2d728fb0a5124153b65e03ad825569576e23de","observation_id":"bc790c23-cd93-4e8a-b72e-724cc67ab2b8","resolution":{"observed_at":"2026-08-11T22:03:29.812571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:29.792527Z","title":"S2mae: A spatial-spectral pretraining foundation model for spectral remote sensing data","venue":null,"work_id":"7ab0ce33-b213-4e8d-b61b-50c902915b1e","year":2024},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.174593Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:0900889ff8e2e05627e46b4f415f625f5b34f6e4b40fc3058f727ded8dcff177","observation_id":"bb6fd931-8b51-4a55-b0fd-c8ffe4ffd244","resolution":{"observed_at":"2026-08-11T22:03:29.796963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:29.718926Z","title":"Feature pyramid networks for object detection","venue":null,"work_id":"ec835e12-345c-4441-9ccb-8eebd0e19250","year":2017},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.203527Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:99aa9857cb2b71968988e8850987c99ea5219069f85905a6b3d1ab54d71e88ba","observation_id":"b5a70a00-b660-4278-9a61-df1164a726dc","resolution":{"observed_at":"2026-08-11T22:03:29.764687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-14T20:13:52.872565Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-11T22:03:27.222374Z","title":"Decoupled weight decay regularization","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.222374Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:8c547c35c598f97ca7fb5bd8d7bc3ecbdbb730c0e4d00c3dbd91962761d02025","observation_id":"e217a3aa-a50e-4395-9bda-b31f1b6de13a","resolution":{"observed_at":"2026-08-11T22:03:27.222374Z","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":"2026-08-11T22:03:27.229677Z","title":"Sgdr: Stochastic gradient descent with warm restarts","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.229677Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:85bc905247f3b9c6c246df10e4a024c98871eef1f2344591376982e063446944","observation_id":"d5e48f37-69ec-4516-a1f5-a8beaec221d1","resolution":{"observed_at":"2026-08-11T22:03:27.229677Z","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":"2026-08-11T22:03:29.627940Z","title":"Semantic segmen- tation of crop type in africa: A novel dataset and analysis of deep learning methods","venue":null,"work_id":"0873fafb-c4ea-4e0b-bb52-b83ee9876220","year":2019},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.234756Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:642cfbd64024e21b645cc3a6029d715259bcd27c962be1cfee4db6152d741add","observation_id":"c18f8f58-0120-4968-8f4d-6b796b14593e","resolution":{"observed_at":"2026-08-11T22:03:29.673648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:29.582286Z","title":"Transfer learning in environmental remote sensing","venue":null,"work_id":"33bde129-8b02-44ce-9d5c-6537b541dd04","year":2024},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.238680Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:1417f35345ebad9a7a6d7a31086ca3a8caf268efad8829b7713facaf587affbb","observation_id":"c7ab4a36-5f45-46b2-8f16-c647dbb01650","resolution":{"observed_at":"2026-08-11T22:03:29.587058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:29.560598Z","title":"Fully convolutional recurrent networks for multi- date crop recognition from multitemporal image sequences","venue":null,"work_id":"e6aaf36e-72cc-4147-964b-77a9c7155acb","year":2021},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.332799Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:aa19280270bdf8389b6b24870710735b9f78668705b79b7d53a6611a19065702","observation_id":"9ac2f1b2-1694-4f39-ae53-0f942afe7e1a","resolution":{"observed_at":"2026-08-11T22:03:29.571597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:29.456505Z","title":"Im- provement in crop mapping from satellite image time series by effectively supervising deep neural networks","venue":null,"work_id":"480d019e-e179-461b-8afe-3c2e849bafc9","year":2023},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.423063Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:75d4d1dbd7761207eef92e438390217e736fb7adf5ef53c0f7eaea6c7145b2f0","observation_id":"dc936953-2556-40a6-a54f-2baed1255799","resolution":{"observed_at":"2026-08-11T22:03:29.538227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:29.374872Z","title":"Assessing the robustness of random forests to map land cover with high resolution satellite image time series over large areas","venue":null,"work_id":"1665d3ca-9078-4cd3-a1b6-23c56806d331","year":2016},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.452851Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:1e2925d803d44955f5ca548c2f9b1ea399f3b5c56b6d34ecab8016815786cfd9","observation_id":"8fa7aaa8-5aa4-4e72-b036-5861807b4044","resolution":{"observed_at":"2026-08-11T22:03:29.382111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:27.457413Z","title":"U-net: Convolutional networks for biomedical image segmentation","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.457413Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:1569551203307c6bef5b761ebc924fffbedd33985436d90f0249d4b2e1091715","observation_id":"21a896dc-f372-4819-b723-c8542372dae2","resolution":{"observed_at":"2026-08-11T22:03:27.457413Z","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":"2026-08-11T22:03:29.334744Z","title":"Max pooling with vision transform- ers reconciles class and shape in weakly supervised semantic segmentation","venue":null,"work_id":"557a8864-47ff-4f83-b5d8-d16e9c5168fe","year":2022},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.463032Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:b19d230c12a5dccb44784db221cc1515b44175361a86e833bec44033255dd777","observation_id":"cc85eff4-e1ba-43d6-9cac-fcb45dd1521e","resolution":{"observed_at":"2026-08-11T22:03:29.346128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:29.243254Z","title":"Token contrast for weakly-supervised semantic segmentation","venue":null,"work_id":"5c0401b1-4788-4416-aa24-ef73b4cc52c6","year":2023},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.468853Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:82234002bdb07edd16e0574eb52673ee68defd9c97c28aac8eeff5ebc57eb909","observation_id":"45b37a11-679f-4d09-9dc4-bf00f6b9c70a","resolution":{"observed_at":"2026-08-11T22:03:29.295846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:29.126368Z","title":"Multi-temporal land cover classification with sequential recurrent encoders","venue":null,"work_id":"2a97ea54-b5ff-49fc-a0f6-742a2d971521","year":2018},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.473587Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:edfc85f1fe16a964d6efdf2896946f6af1b964a31e2594ffef4c8add22310440","observation_id":"4d0b7fb4-f60d-4fd3-827c-fb96154c8709","resolution":{"observed_at":"2026-08-11T22:03:29.144809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:29.112279Z","title":"Grad- cam: Visual explanations from deep networks via gradient- based localization","venue":null,"work_id":"f7ca9dd6-fe0d-4753-ae07-a66e9a33797c","year":2017},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.478332Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:9675b3b412a0060023d2a7359562b29e6125c09c8512f3d88352d45b6188514c","observation_id":"21fda08f-73a5-47af-83c8-b5caf7084562","resolution":{"observed_at":"2026-08-11T22:03:29.116732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:29.081217Z","title":"Convolutional lstm network: A machine learning approach for precipitation now- casting","venue":null,"work_id":"9fe865f8-2ee7-4245-a66a-a6da92e58c4c","year":2015},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.482575Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:884ae0beafac5f3bc135754f512ed3bfe429658f914fc3480953437fb42e0d35","observation_id":"622f3a68-0d79-49de-9bda-2cc6a2ad3112","resolution":{"observed_at":"2026-08-11T22:03:29.103136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.927804Z","title":"A hidden markov models approach for crop classification: Linking crop phenology to time series of multi-sensor remote sensing data","venue":null,"work_id":"68b50cf7-7754-4533-821a-e2790fd41f2f","year":2015},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.531394Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:6bcd77e58512dccd9ef4e4a54f4360bf89ca4a6ae8993e23c3802d8d972b27e2","observation_id":"8bef89cf-3d47-437b-96d2-6e942baafe1c","resolution":{"observed_at":"2026-08-11T22:03:29.013149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.803205Z","title":"Hunting attributes: Con- text prototype-aware learning for weakly supervised semantic segmentation","venue":null,"work_id":"f0d55b36-6768-435e-9f79-c583923daf0c","year":2024},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.584663Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:fdbdb01d911d2c019d4d8df41c1fadc1bbd3c9e64f64ef51192de743da0d424b","observation_id":"d46e3b7e-5d74-47e7-a74e-01adbda6a721","resolution":{"observed_at":"2026-08-11T22:03:28.833078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.789108Z","title":"Context-self contrastive pretraining for crop type semantic segmentation","venue":null,"work_id":"a08c7ba3-bdc8-4f94-a32b-56aba8e1ee1d","year":2022},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.592640Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:0ecf6a13f4a3290e872b7aa298dbfc16ffdeebce7a08d7fdf98306fa75849d4e","observation_id":"94af8125-1f8d-4590-99c6-8edf8454a797","resolution":{"observed_at":"2026-08-11T22:03:28.793784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.775632Z","title":"Vits for sits: Vision transformers for satellite image time series","venue":null,"work_id":"0cbd9df6-c816-4dce-98e8-f01b93a6f4d5","year":2023},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.597194Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:dd2339d30050201f06da90eb972327bc479132641286d7112c50643027b9bee9","observation_id":"2dadae70-1e8e-4adb-a770-53951fbd0684","resolution":{"observed_at":"2026-08-11T22:03:28.780313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.762014Z","title":"Gmes sentinel-1 mission","venue":null,"work_id":"2d57933f-e788-46f0-b220-dd9f77aaf7f0","year":2012},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.601816Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:f0a51b8cd269e37428a655f8b895ea15f5475d9d6b003dbcbc28a70cb18d0ac4","observation_id":"c2d6d00e-af27-4a0d-a29a-3c7a0810c139","resolution":{"observed_at":"2026-08-11T22:03:28.766555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.741108Z","title":"Visualizing data using t-sne","venue":null,"work_id":"f428a399-93c3-4517-81ff-33bf4bab0d6c","year":null},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.605703Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:3f8ac68b0a1d971db720d4189987fa317c5eeadb4ce1eab131a5c0dbe877774d","observation_id":"e03c5c11-9c70-40cb-bfb8-478c02e2b27c","resolution":{"observed_at":"2026-08-11T22:03:28.752151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.684695Z","title":"Weakly supervised deep learning for segmentation of remote sensing imagery","venue":null,"work_id":"3ab49fa2-93e5-4439-9bba-d1ff2f713d78","year":null},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.610342Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:245f9bc921774a3a6881741e2766aebf7a34bf0099c412b0787add9697596853","observation_id":"b75415e7-f429-4ab4-ba42-8bab7c20bd05","resolution":{"observed_at":"2026-08-11T22:03:28.710885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.596187Z","title":"Self-supervised equivariant attention mechanism for weakly supervised semantic segmentation","venue":null,"work_id":"aaf24bf4-2443-426f-a4bd-e72b4fe1e268","year":2020},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.614891Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:2a27a440ff43adae2d24b02998638e8ce12561f1ced62dc2ab614d238571f48b","observation_id":"cc46edd0-340a-4ff5-a045-973a7478888e","resolution":{"observed_at":"2026-08-11T22:03:28.641401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.578354Z","title":"Free access to landsat imagery","venue":null,"work_id":"fb4cd015-8b6d-4bbb-9754-4120273b8231","year":2008},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.619230Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:08294e7e8902375cf4972f0185fb2d745dfeaa346032d590c70e09265e00e842","observation_id":"f65f8615-cbb9-4e32-9f86-c589b006eff2","resolution":{"observed_at":"2026-08-11T22:03:28.582748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.564809Z","title":"Dupl: Dual student with trustworthy progressive learning for robust weakly supervised semantic segmentation","venue":null,"work_id":"785b3576-2ebd-4808-b720-6da988506b4b","year":2024},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.663868Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:31166ff760779f5b35a657c9b551384ec3fa46edc55b199cf06a282bf3b4fe49","observation_id":"470c5772-5260-439b-8053-e7fa729e42d8","resolution":{"observed_at":"2026-08-11T22:03:28.569796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.549634Z","title":"Multi-class token transformer for weakly supervised semantic segmentation","venue":null,"work_id":"0495a345-65ab-486f-b611-0e651b295d78","year":2022},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.719571Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:f06c199b877d379555da9c3e4b82e81f677790560e5df56209871c1d668c7633","observation_id":"bced9459-99cd-4a99-b17e-d018f2fd0092","resolution":{"observed_at":"2026-08-11T22:03:28.555317Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.536464Z","title":"Mctformer+: Multi-class token transformer for weakly supervised semantic segmen- tation","venue":null,"work_id":"72dc1069-3b0a-4d1f-baa9-e15f6bb088ca","year":2024},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.758027Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:20931a63938990584401b8c8c457087c91655b7c645c41c1273b4a30b041bdcf","observation_id":"e8df9c70-9437-4de2-8de1-5c9b471a8f84","resolution":{"observed_at":"2026-08-11T22:03:28.541052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.409104Z","title":"Self correspondence distilla- tion for end-to-end weakly-supervised semantic segmentation","venue":null,"work_id":"2815f476-2d26-4312-8431-4f9718684a2f","year":2023},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.816047Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:c1db4e4e4c10faf7f624c3091c9e7b54e8efac29bb1cb9dfe338ca6b415977f2","observation_id":"9b5afb3d-2bc5-4a22-95c1-1ca4e85ddc01","resolution":{"observed_at":"2026-08-11T22:03:28.527235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.354809Z","title":"Separate and conquer: Decou- pling co-occurrence via decomposition and representation for weakly supervised semantic segmentation","venue":null,"work_id":"2ed75603-c1fe-436f-ab78-be78cd65dffe","year":2024},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.822787Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:2be9ec292f52e6cf916897edbbedd60de4c6f70522c34ecdd255a003106f6c3f","observation_id":"2d0a42d6-0139-4bed-a8d2-055949720414","resolution":{"observed_at":"2026-08-11T22:03:28.359228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.338699Z","title":"Class tokens infusion for weakly supervised semantic segmentation","venue":null,"work_id":"f23d95e5-08c8-4fb2-9c61-09319da3557d","year":2024},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.829149Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:8c04d966ec2da7f89107f8ffb43d1dff1e9efc5fc71e7c8dc727f2beba11d53d","observation_id":"0d18764f-37b5-44a1-bfbd-3bf81c99a356","resolution":{"observed_at":"2026-08-11T22:03:28.344530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.301522Z","title":"Frozen clip: A strong backbone for weakly su- pervised semantic segmentation","venue":null,"work_id":"b2dbeef6-d92b-40ac-9363-deffcd23a8fd","year":2024},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.837564Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:61eb60d3f7a8ebe13a0e640742fcea5c2e39de63d04b52a55c342559547a6e57","observation_id":"68656a4c-766a-4a78-ab93-9576c3dd592e","resolution":{"observed_at":"2026-08-11T22:03:28.325512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.183444Z","title":"Deep learning based multi-temporal crop classification","venue":null,"work_id":"5cf9931e-95af-4cc8-98f5-e6e96ca81039","year":2019},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.842346Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:f89101b724d94619226eefa2d17df780c27b718e35205adef349e18038bf4e5d","observation_id":"f1f21256-ebdb-4043-8d8d-7a448809fbb4","resolution":{"observed_at":"2026-08-11T22:03:28.231478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.168510Z","title":"Learning deep features for discriminative localization","venue":null,"work_id":"904047ba-e00d-4ad8-b2d5-967fa7889ced","year":2016},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.846889Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:087bbb82ff146ad32e4978e42b9fa883ae1cf986903ad5acf852d23b56adeaa5","observation_id":"ab83e1b5-62ef-4dc2-aa0f-0fe631d1148c","resolution":{"observed_at":"2026-08-11T22:03:28.173686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.153153Z","title":"Rethinking semantic segmentation: A prototype view","venue":null,"work_id":"85e6e982-25de-471c-ad4e-79957f382c54","year":2022},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.851610Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:2a8636aa3da1f3a7c8304c6918f34ead5f14619dc85e8d511e7e749bc62848b5","observation_id":"8162c77a-3f0b-40db-bbef-9048a9bd52cd","resolution":{"observed_at":"2026-08-11T22:03:28.158643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-11T22:03:28.077287Z","title":"81.9 71.6","venue":null,"work_id":"5a9a0a38-0985-4604-bd72-993efb01e0cf","year":2022},"citing_paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T22:03:27.955448Z"},"links":{"citing_paper":"/paper/2412.03968"},"observation_digest":"sha256:d9b78c15543db0d52708f51e2a03ccffbf320491631ffca0d60c52c6d15e424b","observation_id":"2ca95e12-5945-4ae5-acee-ef680a094eee","resolution":{"observed_at":"2026-08-11T22:03:28.129190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.03968","last_updated":"2024-12-05T08:37:56Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T21:51:12.969802Z","submitted_at":"2024-12-05T08:37:56Z","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":56},"total_outbound_references":60},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2412.03968."}