{"as_of":"2026-08-12T20:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4f164db0efb761a43dab4213721aaa82ff477a6e10234f22249dd07f2944fe30","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T19:40:06.722890Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2412.06470/citation-record","integrity":"/paper/2412.06470/integrity","json":"/paper/2412.06470/citation-record.json","paper":"/paper/2412.06470"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:40:07.671004Z","title":null,"venue":null,"work_id":"258cf4d8-51a0-4258-a94d-dc844d802b64","year":null},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.503855Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:ffdfacdbdeec655cf7403d23de95a1713935e021cde64cb64a2efd4c4d40ccbc","observation_id":"2481e214-07e3-4f65-8b79-828249520b3a","resolution":{"observed_at":"2026-08-11T19:40:07.677696Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T19:40:07.652997Z","title":"Ac- tive learning for imbalanced datasets, 2020","venue":null,"work_id":"37dbd0ba-106a-4328-8c23-07845a3b5c24","year":2020},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.510043Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:d4ac3216c6a487d432e3431cb0089218ec9c7aa8b08cfe49258f62772427453a","observation_id":"afd34716-d259-4b6a-ade5-7aeb4ac6c3fc","resolution":{"observed_at":"2026-08-11T19:40:07.658631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.00390","last_updated":"2022-02-01T13:13:41Z","snapshot_observed_at":"2026-08-12T13:05:16.616293Z","submitted_at":"2022-02-01T13:13:41Z","title":"Minority Class Oriented Active Learning for Imbalanced Datasets","version":1},"cited_work":{"arxiv_id":"2202.00390","doi":null,"metadata_source":"pith","pith_arxiv_id":"2202.00390","snapshot_observed_at":"2026-08-11T19:40:07.258756Z","title":"Minority Class Oriented Active Learning for Imbalanced Datasets","venue":"cs.LG","work_id":"e6deefcc-0cca-43ac-9b7e-293ff3f72f59","year":2022},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.516528Z"},"links":{"cited_paper":"/paper/2202.00390","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:d838da991e9ed1a0361423f8001c57037ceb639bee8f52b98a3117c0d7523192","observation_id":"4627288f-a27b-4ac5-bf56-3afac6a108aa","resolution":{"observed_at":"2026-08-11T19:40:07.265018Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.11190","last_updated":"2020-08-03T01:55:24Z","snapshot_observed_at":"2026-08-05T21:16:20.262505Z","submitted_at":"2020-01-30T06:37:07Z","title":"2018 Robotic Scene Segmentation Challenge","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.11190","snapshot_observed_at":"2026-08-11T19:40:06.523092Z","title":"2018 robotic scene segmentation chal- lenge","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.523092Z"},"links":{"cited_paper":"/paper/2001.11190","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:0506017fd1bcca736e2b78a6098b6f777d673fcf4595a72f0bfb56dece109964","observation_id":"bb6d473c-6c47-4d08-a226-33c3ca59f4b9","resolution":{"observed_at":"2026-08-11T19:40:06.523092Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.07724","last_updated":"2021-10-22T13:09:05Z","snapshot_observed_at":"2026-08-12T12:03:38.749590Z","submitted_at":"2021-07-16T06:49:20Z","title":"Active learning for imbalanced data under cold start","version":2},"cited_work":{"arxiv_id":"2107.07724","doi":null,"metadata_source":"pith","pith_arxiv_id":"2107.07724","snapshot_observed_at":"2026-08-11T19:40:07.204497Z","title":"Active learning for imbalanced data under cold start","venue":"cs.LG","work_id":"07e55f4b-235a-446c-a05b-e9a798941d70","year":2021},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.529090Z"},"links":{"cited_paper":"/paper/2107.07724","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:7d7e77a17ec4971837b1c5828fb205891e26b6739c7c9a3ec7776e09551e4631","observation_id":"606b5fd5-a660-4fcc-bc93-7d7d923b99bc","resolution":{"observed_at":"2026-08-11T19:40:07.210626Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.10968","last_updated":"2020-08-25T12:47:09Z","snapshot_observed_at":"2026-07-06T09:49:57.105444Z","submitted_at":"2020-08-25T12:47:09Z","title":"Active Class Incremental Learning for Imbalanced Datasets","version":1},"cited_work":{"arxiv_id":"2008.10968","doi":null,"metadata_source":"pith","pith_arxiv_id":"2008.10968","snapshot_observed_at":"2026-08-11T19:40:07.177024Z","title":"Active Class Incremental Learning for Imbalanced Datasets","venue":"cs.CV","work_id":"1a98eb1b-4410-4bd6-8296-570de18e3dab","year":2020},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.534815Z"},"links":{"cited_paper":"/paper/2008.10968","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:8f3e5e746d7df18755095986f5468b4dfc6f8de9215463338df86f954d1bbb5c","observation_id":"84e588f6-fa4c-4739-9b1c-15a01ae9b2f4","resolution":{"observed_at":"2026-08-11T19:40:07.183519Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T19:40:07.632635Z","title":"Class-balanced active learn- ing for image classification, 2021","venue":null,"work_id":"a4b7885b-0b36-4baa-a664-0e48d0217eab","year":2021},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.541002Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:ced62031778e3824443bd967c4f36adcd2c77925adad9ee5687a1324dc88442e","observation_id":"6ca3ddd0-0695-4113-b6ee-3ae9e309539b","resolution":{"observed_at":"2026-08-11T19:40:07.638614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T19:40:07.610918Z","title":"Revisiting superpixels for active learning in semantic seg- mentation with realistic annotation costs","venue":null,"work_id":"9fa5426e-6e29-4184-92fb-f01a76960a90","year":2021},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.546918Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:a912e49f53baa10c3f29adf980eb38dfccba563b78531d8413a6ffff2131cf0a","observation_id":"a17b58a1-16d2-4ad8-b074-9f17fecf8a2f","resolution":{"observed_at":"2026-08-11T19:40:07.616763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.06583","last_updated":"2020-02-16T14:03:06Z","snapshot_observed_at":"2026-08-03T19:39:28.325642Z","submitted_at":"2020-02-16T14:03:06Z","title":"Reinforced active learning for image segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.06583","snapshot_observed_at":"2026-08-11T19:40:06.552551Z","title":"Pinheiro, Negar Rostamzadeh, and Christopher J","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.552551Z"},"links":{"cited_paper":"/paper/2002.06583","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:1dfcf40a8ae3b3bfa777247af3fce5437f086a188e2a357155f25ef9228add0d","observation_id":"ab8f13d4-41ea-40c6-b385-dab2f3101492","resolution":{"observed_at":"2026-08-11T19:40:06.552551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.05587","last_updated":"2017-12-05T18:06:21Z","snapshot_observed_at":"2026-08-07T13:44:53.690521Z","submitted_at":"2017-06-17T22:48:57Z","title":"Rethinking Atrous Convolution for Semantic Image Segmentation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.05587","snapshot_observed_at":"2026-08-11T19:40:06.558110Z","title":"Rethinking atrous convolution for semantic image segmentation","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.558110Z"},"links":{"cited_paper":"/paper/1706.05587","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:f62b69053953a1eeb8fd777efeef28297045c9bbafbde82be0861aabc589a34c","observation_id":"2d530fb5-38a8-4327-b7d5-cb0ba9cceb82","resolution":{"observed_at":"2026-08-11T19:40:06.558110Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.01884","last_updated":"2020-10-05T09:36:47Z","snapshot_observed_at":"2026-07-06T10:01:29.397517Z","submitted_at":"2020-10-05T09:36:47Z","title":"MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps","version":1},"cited_work":{"arxiv_id":"2010.01884","doi":null,"metadata_source":"pith","pith_arxiv_id":"2010.01884","snapshot_observed_at":"2026-08-11T19:40:07.107984Z","title":"MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps","venue":"cs.CV","work_id":"6af7e445-d484-44bd-bbcc-390d0fd240a8","year":2020},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.565720Z"},"links":{"cited_paper":"/paper/2010.01884","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:cce2fd9e032ef4c0e61ccf6ab954e3b9cc136190401363ab08256bb234e58c4f","observation_id":"9166a30c-f7e3-47c2-98d7-a01021085c51","resolution":{"observed_at":"2026-08-11T19:40:07.114122Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T19:40:07.592847Z","title":"The cityscapes dataset for semantic urban scene understanding","venue":null,"work_id":"d81d6adb-3741-4862-aef1-f9c5a51579eb","year":2016},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.572768Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:6cf67e7565d07cae30210198ded2e7e312698369d4a48b1cc98a5f322142213d","observation_id":"5fb7731a-2b90-4436-bb16-21fcbde6bb1b","resolution":{"observed_at":"2026-08-11T19:40:07.598363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.14984","last_updated":"2020-07-03T11:34:10Z","snapshot_observed_at":"2026-07-06T09:33:04.388569Z","submitted_at":"2020-06-26T13:39:49Z","title":"Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling","version":2},"cited_work":{"arxiv_id":"2006.14984","doi":null,"metadata_source":"pith","pith_arxiv_id":"2006.14984","snapshot_observed_at":"2026-08-11T19:40:07.079834Z","title":"Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling","venue":"cs.CV","work_id":"c422472e-d996-431b-a474-5d78904ae657","year":2020},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.578660Z"},"links":{"cited_paper":"/paper/2006.14984","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:a506a8b9fb256b67dadd6b7168a319e19ab3962d7501d688d48bbe75a2049998","observation_id":"bfa716c1-18b5-44a4-8c42-1a398da8c445","resolution":{"observed_at":"2026-08-11T19:40:07.086784Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T19:40:07.571878Z","title":"Seeds: Superpixels extracted via energy- driven sampling, 2013","venue":null,"work_id":"0f305002-b390-41ff-b2c1-ba0d2b05560a","year":2013},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.584391Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:0d9640ddda99e7527171c05573d38bc48c901c0ce89308f725a01520c728926f","observation_id":"4d79d95e-4fae-408d-875f-f329b31612c6","resolution":{"observed_at":"2026-08-11T19:40:07.578245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T19:40:07.551390Z","title":"Everingham, L","venue":null,"work_id":"debeaac4-e4ab-4d5b-9bd5-b026e19f3bd1","year":2010},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.590027Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:dcfef897d1cd3505e4fdbbd763bfb0ced5e89ea9ad01f2cfc639ea1f54708d40","observation_id":"9bb006d7-599b-49a7-9c5b-8784a43d84b4","resolution":{"observed_at":"2026-08-11T19:40:07.557568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.01860","last_updated":"2020-08-04T22:18:35Z","snapshot_observed_at":"2026-08-09T16:34:32.336726Z","submitted_at":"2020-08-04T22:18:35Z","title":"Importance of Self-Consistency in Active Learning for Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"2008.01860","doi":null,"metadata_source":"pith","pith_arxiv_id":"2008.01860","snapshot_observed_at":"2026-08-11T19:40:07.045605Z","title":"Importance of Self-Consistency in Active Learning for Semantic Segmentation","venue":"cs.CV","work_id":"d8ee0e58-e169-400d-a314-a2a3fa7263a7","year":2020},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.595247Z"},"links":{"cited_paper":"/paper/2008.01860","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:0a5704ad6014f01ebfa2b879779de293eac1f788a2c6330732db35e8c9479a59","observation_id":"1fa2708f-66d9-446b-803c-09bae217c19e","resolution":{"observed_at":"2026-08-11T19:40:07.053457Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T19:40:07.529621Z","title":"Active learning for semantic segmentation with multi-class label query, 2023","venue":null,"work_id":"165e3561-081d-4ff6-9ba8-6a4cbe9a7835","year":2023},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.600757Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:4c0dfb81910735c32e32b81734ead5e6dfc4f78130f6a893979a31d8b899cef0","observation_id":"f0136ab7-11c7-4f78-a3e8-5fd11635f497","resolution":{"observed_at":"2026-08-11T19:40:07.536075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T19:40:07.506929Z","title":"Joshi, Fatih Porikli, and Nikolaos Papanikolopoulos","venue":null,"work_id":"3d841a07-31ab-4de0-9e92-8d87c2c22aa6","year":2009},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.605845Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:2d1b97e1840922a11c70faa46bb631812cdc38a4da71eee921331b9a4de68327","observation_id":"88f70b9c-956f-4b54-a2b6-bb0da87b0540","resolution":{"observed_at":"2026-08-11T19:40:07.513259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T19:40:07.485386Z","title":"Hegde, V","venue":null,"work_id":"892be98b-1ebd-4665-8748-f75892b59851","year":2019},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.610797Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:47477a0e3bb480c12fc6569a0758224820de1a1899e98cb86f28253f952c4704","observation_id":"05efcb5d-adda-438c-9c5d-d3c1fc528bec","resolution":{"observed_at":"2026-08-11T19:40:07.492373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1603.07485","last_updated":"2016-11-23T09:53:29Z","snapshot_observed_at":"2026-08-03T18:14:56.426106Z","submitted_at":"2016-03-24T09:04:16Z","title":"Simple Does It: Weakly Supervised Instance and Semantic Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.07485","snapshot_observed_at":"2026-08-11T19:40:06.617813Z","title":"Weakly supervised semantic labelling and instance segmentation","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.617813Z"},"links":{"cited_paper":"/paper/1603.07485","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:6a87cbbe6757980b40aee20d311c3d5ad09b027f0fd3b6b93fd675af00bbd25c","observation_id":"53d373a5-f32f-466d-bd3f-26eef21db24e","resolution":{"observed_at":"2026-08-11T19:40:06.617813Z","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":"2026-08-11T19:40:07.467209Z","title":"Adaptive superpixel for active learning in semantic segmentation, 2023","venue":null,"work_id":"9732b332-ad25-4627-8b10-e9a7f9351ab8","year":2023},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.623038Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:b7f2e36be8f97641189b4f22db48c1c5435a58c4f698432b9c893dd3535575a8","observation_id":"ed17f6be-a31b-42e7-81a7-2e5cdd6b3cdd","resolution":{"observed_at":"2026-08-11T19:40:07.472636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T19:40:07.445181Z","title":"Kingma and Jimmy Ba","venue":null,"work_id":"6ff6d9e2-99e3-455d-a6c5-e14ef2db7652","year":2014},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.627966Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:dd9725afb5bc49608643320eb7eed032c5e4f54aa3a96225cdae85cea9bcbd9f","observation_id":"61a0b380-3a29-4481-a0ab-3296a9d72f31","resolution":{"observed_at":"2026-08-11T19:40:07.450668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T19:40:07.418305Z","title":"Clinical: Targeted active learning for imbalanced medical image clas- sification, 2022","venue":null,"work_id":"dca7ea1b-bfef-4402-8b6c-395b0f736f51","year":2022},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.633344Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:db163b5d29c5568576af4ecb0ef16dd3042831c769ad94b705ca15cb458ec2c3","observation_id":"918283d6-5d7c-42ff-ada7-b3553d2372d5","resolution":{"observed_at":"2026-08-11T19:40:07.426199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T19:40:07.396571Z","title":"Weakly supervised segmentation of small buildings with point labels","venue":null,"work_id":"b71d954c-8a69-4109-b1c8-2f39ff07f29e","year":2021},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.638484Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:fb3ef317c14ed89daacb087364b8fed69f34d763777f582d998ecd1c37ead6ad","observation_id":"d6ebfd56-b7cb-4831-aff6-0dabcc394780","resolution":{"observed_at":"2026-08-11T19:40:07.404899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.01047","last_updated":"2022-01-04T09:11:58Z","snapshot_observed_at":"2026-08-12T14:16:13.864689Z","submitted_at":"2022-01-04T09:11:58Z","title":"DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing","version":1},"cited_work":{"arxiv_id":"2201.01047","doi":null,"metadata_source":"pith","pith_arxiv_id":"2201.01047","snapshot_observed_at":"2026-08-11T19:40:06.983119Z","title":"DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing","venue":"cs.CV","work_id":"8c73ee9d-4d38-4ad1-86a9-f381b64c4a75","year":2022},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.643414Z"},"links":{"cited_paper":"/paper/2201.01047","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:f55f56f90c556fe54ad465a52023c674237cd629042f671e5968335d975a3e58","observation_id":"4ff0a631-0066-4d4b-8c3f-e8623052e793","resolution":{"observed_at":"2026-08-11T19:40:06.989550Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.09726","last_updated":"2018-10-23T08:44:49Z","snapshot_observed_at":"2026-07-06T07:09:58.675346Z","submitted_at":"2018-10-23T08:44:49Z","title":"CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.09726","snapshot_observed_at":"2026-08-11T19:40:06.648744Z","title":"CEREALS - cost- effective region-based active learning for semantic segmen- tation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.648744Z"},"links":{"cited_paper":"/paper/1810.09726","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:c03ac2e4c6e34035201f53e3dd60e0c388942187bb28eb67d8d2518c7822d073","observation_id":"d10624af-6d14-407f-b28c-6bb719ec511b","resolution":{"observed_at":"2026-08-11T19:40:06.648744Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.05926","last_updated":"2021-10-12T12:19:22Z","snapshot_observed_at":"2026-08-10T09:07:06.785069Z","submitted_at":"2021-10-12T12:19:22Z","title":"Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty","version":1},"cited_work":{"arxiv_id":"2110.05926","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.05926","snapshot_observed_at":"2026-08-11T19:40:06.937503Z","title":"Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty","venue":"cs.CV","work_id":"9d479efd-b0aa-4648-bc3a-b455f48f8b69","year":2021},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.654117Z"},"links":{"cited_paper":"/paper/2110.05926","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:b16c14141328943ed0b1a04156ecdce1299179ebede7ddc0947d32e77a5e8fdf","observation_id":"aaec3a74-0846-4867-9534-06fb2a3eb94c","resolution":{"observed_at":"2026-08-11T19:40:06.944057Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.03534","last_updated":"2021-08-07T22:30:53Z","snapshot_observed_at":"2026-08-09T10:34:06.573022Z","submitted_at":"2021-08-07T22:30:53Z","title":"Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation","version":1},"cited_work":{"arxiv_id":"2108.03534","doi":null,"metadata_source":"pith","pith_arxiv_id":"2108.03534","snapshot_observed_at":"2026-08-11T19:40:06.909859Z","title":"Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation","venue":"cs.CV","work_id":"c16f8834-a1e9-4dee-8d9f-f4b319a79f04","year":2021},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.659604Z"},"links":{"cited_paper":"/paper/2108.03534","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:9b3aad01783a40adc2f3a89a238f4ba48bd84b8a61d635089060fd7ba409bb2a","observation_id":"c8fa8f73-a125-4874-bccd-4ceebb6c2e13","resolution":{"observed_at":"2026-08-11T19:40:06.916612Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1506.02106","last_updated":"2016-07-23T17:41:43Z","snapshot_observed_at":"2026-07-06T04:20:05.457426Z","submitted_at":"2015-06-06T02:45:48Z","title":"What's the Point: Semantic Segmentation with Point Supervision","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.02106","snapshot_observed_at":"2026-08-11T19:40:06.665262Z","title":"Bearman, Vittorio Ferrari, and Li Fei-Fei","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.665262Z"},"links":{"cited_paper":"/paper/1506.02106","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:43d74f34b1409e359a33df76e3bac63e12640675b59095b7c20a0957851889a3","observation_id":"748ed1d5-8d46-4475-8baf-df490d768149","resolution":{"observed_at":"2026-08-11T19:40:06.665262Z","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":"2026-08-11T19:40:07.369320Z","title":"A mathematical theory of commu- nication","venue":null,"work_id":"c1f27509-cef9-48c8-b9ca-673483ec9606","year":null},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.670621Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:04b9c6fb9ca07ffb246568e3dd63940641b3807d0d45174d380dece92860fda1","observation_id":"9577ebd0-b97b-4b38-afab-c3bc3015783e","resolution":{"observed_at":"2026-08-11T19:40:07.377048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.11789","last_updated":"2020-03-18T18:00:31Z","snapshot_observed_at":"2026-07-06T08:40:11.919422Z","submitted_at":"2019-11-26T19:00:16Z","title":"ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation","version":2},"cited_work":{"arxiv_id":"1911.11789","doi":null,"metadata_source":"pith","pith_arxiv_id":"1911.11789","snapshot_observed_at":"2026-08-11T19:40:06.865325Z","title":"ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation","venue":"cs.CV","work_id":"f7bed482-446c-48c6-9949-db8ab61f639d","year":2019},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.675755Z"},"links":{"cited_paper":"/paper/1911.11789","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:929118d78998d9ef49cee8dd19c3545bb090f00795f8b90fc81c5234fb7db2fe","observation_id":"0a99fc52-5906-4c41-a31e-d6b0d587f0d1","resolution":{"observed_at":"2026-08-11T19:40:06.871405Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.00370","last_updated":"2019-10-28T18:03:08Z","snapshot_observed_at":"2026-07-06T07:42:49.750708Z","submitted_at":"2019-03-31T09:54:17Z","title":"Variational Adversarial Active Learning","version":3},"cited_work":{"arxiv_id":"1904.00370","doi":null,"metadata_source":"pith","pith_arxiv_id":"1904.00370","snapshot_observed_at":"2026-08-11T19:40:06.840262Z","title":"Variational Adversarial Active Learning","venue":"cs.LG","work_id":"e91766c4-5570-4eba-8088-f2a6a75737f8","year":2019},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.680948Z"},"links":{"cited_paper":"/paper/1904.00370","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:3e81e10d654972c036b4a3466eaf1e48b32a09ef1242224437a4a590b5eb0fe4","observation_id":"0ed391f5-1ea4-48ff-a780-cc765f11b358","resolution":{"observed_at":"2026-08-11T19:40:06.846275Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.11858","last_updated":"2021-09-10T07:11:19Z","snapshot_observed_at":"2026-07-06T11:21:48.104719Z","submitted_at":"2021-06-22T15:22:56Z","title":"MEAL: Manifold Embedding-based Active Learning","version":3},"cited_work":{"arxiv_id":"2106.11858","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.11858","snapshot_observed_at":"2026-08-11T19:40:06.814513Z","title":"MEAL: Manifold Embedding-based Active Learning","venue":"cs.CV","work_id":"e9c080b4-955d-4d79-b893-8cbc7ee36e7e","year":2021},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.686333Z"},"links":{"cited_paper":"/paper/2106.11858","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:94d3e1f37453f25cd262b2bb22ecc6c92f079bf90d7b9b93c0d06226d3517d6d","observation_id":"46505909-cca5-42ea-997d-d3ce3c32fd8d","resolution":{"observed_at":"2026-08-11T19:40:06.820525Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.05633","last_updated":"2021-09-02T10:36:48Z","snapshot_observed_at":"2026-08-07T15:56:28.214749Z","submitted_at":"2021-05-12T13:01:44Z","title":"Segmenter: Transformer for Semantic Segmentation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.05633","snapshot_observed_at":"2026-08-11T19:40:06.692505Z","title":"Segmenter: Transformer for semantic seg- mentation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.692505Z"},"links":{"cited_paper":"/paper/2105.05633","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:a58aecf5f849ce8e0d3b86ad06294553fbca40e4e3e6a6c1c2713620e1af1d92","observation_id":"687a51ad-4cce-4224-b35c-0fae0cfea4af","resolution":{"observed_at":"2026-08-11T19:40:06.692505Z","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":"2026-08-11T19:40:07.348018Z","title":"Correlation-aware active learn- ing for surgery video segmentation, 2023","venue":null,"work_id":"5e582333-c235-4d13-ba79-069fc8893ca3","year":2023},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.698066Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:4ecb4e41ac698529e3f05243f5f5bf2713d73e2b83d34c26071dd15fd52abb18","observation_id":"26ff0301-fb77-44f7-b928-d4b9f584d9ac","resolution":{"observed_at":"2026-08-11T19:40:07.354610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T19:40:07.323375Z","title":"Towards fewer annotations: Active learning via region impurity and prediction uncertainty for domain adaptive semantic segmentation, 2022","venue":null,"work_id":"496796a8-dfe2-40fa-ade8-5cf06e1062f4","year":2022},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.705104Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:3ee438ffeb582b8bc9fe87dc3fd79fdecc37ea9ccf16d0ef05a8294eb510f3f7","observation_id":"497f045b-9dc0-47de-93d6-bd63a7cee023","resolution":{"observed_at":"2026-08-11T19:40:07.332821Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.04737","last_updated":"2017-06-15T05:01:53Z","snapshot_observed_at":"2026-07-06T05:46:55.903773Z","submitted_at":"2017-06-15T05:01:53Z","title":"Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation","version":1},"cited_work":{"arxiv_id":"1706.04737","doi":null,"metadata_source":"pith","pith_arxiv_id":"1706.04737","snapshot_observed_at":"2026-08-11T19:40:06.765973Z","title":"Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation","venue":"cs.CV","work_id":"319479a1-7d8d-471b-bc15-f1afdec93828","year":2017},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.710707Z"},"links":{"cited_paper":"/paper/1706.04737","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:cb5a4f339b0373c037fa15b34080587d9728ed50f61a9ff4f2e4eb3d6c0b43b6","observation_id":"fcca782b-ebe3-4033-a54c-012ac166ca40","resolution":{"observed_at":"2026-08-11T19:40:06.774342Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T19:40:07.302232Z","title":"Algorithm selection for deep active learning with imbalanced datasets, 2023","venue":null,"work_id":"8be71722-cabb-4450-9436-cfc1a0faf53d","year":2023},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.716146Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:c5b3ee6d8b9ce9868bbe02685e9419c05617f161a76f084431df3e021eae93a6","observation_id":"c784ef8a-3a9f-4080-91d2-2de6d52d7b91","resolution":{"observed_at":"2026-08-11T19:40:07.309393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T19:40:07.280449Z","title":"Dsal: Deeply supervised active learning from strong and weak labelers for biomedical image segmentation","venue":null,"work_id":"c549e0ed-388b-43bb-a93b-e996ff31b634","year":2021},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.722890Z"},"links":{"citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:695fd81b78275dff8172f266ca6f523a86efe9d668ff24b67c4a88716e79a28e","observation_id":"4a9464a0-c22b-4a5b-aaf6-6cc33219f786","resolution":{"observed_at":"2026-08-11T19:40:07.287797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T19:34:35.417310Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":8,"verified_exact":11,"verified_fuzzy":18},"total_outbound_references":39},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2412.06470."}