{"as_of":"2026-08-18T19:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:23cda8dba4fd5e19202a2f9bb6f181e56190fd1a86321ac966cbda8d4e473fa7","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:50:55.471184Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2505.06185/citation-record","integrity":"/paper/2505.06185/integrity","json":"/paper/2505.06185/citation-record.json","paper":"/paper/2505.06185"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:50:55.400455Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.400455Z"},"links":{"citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:536c8452dfe60cd29df4dc011cc1da160e416c48b5c03d23f14d48789e765fb9","observation_id":"84f4eea9-1f74-495d-b532-99c9a00795bc","resolution":{"observed_at":"2026-08-15T22:50:55.400455Z","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":"2026-08-15T22:50:55.405482Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.405482Z"},"links":{"citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:6c690139f76ef58502bdf8bc07dae58494fea218333d7ca542dfe5a29966161d","observation_id":"4102e780-11a3-4d6d-a4e2-16b3fb1d03cb","resolution":{"observed_at":"2026-08-15T22:50:55.405482Z","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":"2026-08-15T22:50:55.661301Z","title":null,"venue":null,"work_id":"ee4ff389-f48b-451e-bcb3-563ce4fe903c","year":2021},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.409758Z"},"links":{"citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:7a330c69dcde97bfd3d3290f96375bdcc6532ef0df434655466211e258211126","observation_id":"2ae69967-f899-4015-8270-e4ab1e4e3374","resolution":{"observed_at":"2026-08-15T22:50:55.664738Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:50:55.650723Z","title":null,"venue":null,"work_id":"52956f34-6556-4e5c-b441-7de687806c86","year":2022},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.413601Z"},"links":{"citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:232e5ada23feb5afca8f2e31ecb5c05b6d235f3486732978a2dc8ce15ae83ace","observation_id":"5d7d8e39-ea05-4d56-af67-9f1a4ffaae0b","resolution":{"observed_at":"2026-08-15T22:50:55.654266Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:50:55.640076Z","title":"B.; Charidimou, A.; Jessel, M","venue":null,"work_id":"16bb2265-2bc3-420d-9220-127976d87f58","year":2016},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.417656Z"},"links":{"citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:2c6be1bcfec76e964b0fb102afc27aaf9b73561345aca36253212b9f37c4dbb5","observation_id":"59712a35-fe81-4bf4-a7d4-0b0579d5b10f","resolution":{"observed_at":"2026-08-15T22:50:55.643558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:50:55.629089Z","title":null,"venue":null,"work_id":"b5cab980-bc6b-408b-9575-13fc33298337","year":2022},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.421588Z"},"links":{"citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:c4da6a1066fdb8b96d0a69db3c6bd0435d6d84fb794be7ad9340a400ef3a4a69","observation_id":"b82c5d8b-5423-453f-bbcd-9e047aa1cb80","resolution":{"observed_at":"2026-08-15T22:50:55.632874Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:50:55.425472Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.425472Z"},"links":{"citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:c20280b3ddcd1189f591ecadd0f79b79fe52e13207527e3e1a75458ed20721b5","observation_id":"debe5780-9c9b-44d0-a421-1c345052a968","resolution":{"observed_at":"2026-08-15T22:50:55.425472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-15T22:50:55.429363Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.429363Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:5217ee2d1f4d9d1ad95f45b1ba71cded8272f75fc121ee89c2474cff43ae5268","observation_id":"3ba3c461-489a-4bec-9aa1-87955466e253","resolution":{"observed_at":"2026-08-15T22:50:55.429363Z","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":"2026-08-15T22:50:55.611197Z","title":"K.; P otka, S.; and Sitek, A","venue":null,"work_id":"4ff962c2-2c64-446d-ba16-59e8c7318183","year":2022},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.433444Z"},"links":{"citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:5b28a87b1cad05779bd1c1b0959e67b0323e072cb9a847b1c81664a1e18b55b0","observation_id":"2d2b4190-d1d7-4dc6-9d61-bc22101e4234","resolution":{"observed_at":"2026-08-15T22:50:55.615087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1512.03385","last_updated":"2015-12-10T19:51:55Z","snapshot_observed_at":"2026-07-06T04:39:28.429064Z","submitted_at":"2015-12-10T19:51:55Z","title":"Deep Residual Learning for Image Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1512.03385","snapshot_observed_at":"2026-08-15T22:50:55.437172Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.437172Z"},"links":{"cited_paper":"/paper/1512.03385","citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:c8793ff4a5282273f19262aba5e0411961a130de6a364ef35fd533cce75ce338","observation_id":"52b9b309-238a-4f45-91b9-77a7c51a9fb0","resolution":{"observed_at":"2026-08-15T22:50:55.437172Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.02291","last_updated":"2022-11-04T07:15:36Z","snapshot_observed_at":"2026-08-16T16:18:40.082707Z","submitted_at":"2022-11-04T07:15:36Z","title":"SelecMix: Debiased Learning by Contradicting-pair Sampling","version":1},"cited_work":{"arxiv_id":"2211.02291","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.02291","snapshot_observed_at":"2026-08-15T22:50:55.550067Z","title":"SelecMix: Debiased Learning by Contradicting-pair Sampling","venue":"cs.CV","work_id":"96db5352-343e-4c28-87b9-41997a79eae9","year":2022},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.441471Z"},"links":{"cited_paper":"/paper/2211.02291","citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:a8db9df45d78fe780f9eb216d4f80e66aeb0c3e30732256355cca57fb94baefc","observation_id":"5b28c215-7c84-485f-b256-7dd18cf289d6","resolution":{"observed_at":"2026-08-15T22:50:55.556375Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14503","last_updated":"2022-02-18T17:07:14Z","snapshot_observed_at":"2026-08-16T17:46:02.849481Z","submitted_at":"2021-10-27T15:15:11Z","title":"Simple data balancing achieves competitive worst-group-accuracy","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.14503","snapshot_observed_at":"2026-08-15T22:50:55.445719Z","title":"Y.; Arjovsky, M.; Pezeshki, M.; and Lopez-Paz, D","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.445719Z"},"links":{"cited_paper":"/paper/2110.14503","citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:8e60e860c20927bd49a0ab7424306a6d2b6f4e4f4136faffe98f558cf032dc49","observation_id":"979e0efc-af92-409d-b08b-cfaa2ff9796e","resolution":{"observed_at":"2026-08-15T22:50:55.445719Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.02937","last_updated":"2023-06-30T22:51:42Z","snapshot_observed_at":"2026-08-17T16:12:58.409293Z","submitted_at":"2022-04-06T16:55:41Z","title":"Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.02937","snapshot_observed_at":"2026-08-15T22:50:55.450137Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.450137Z"},"links":{"cited_paper":"/paper/2204.02937","citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:c87a62deb04da1c9c9b0cffa23adbf522d248c077e09519d71b3040cb26dfd83","observation_id":"3b1ac1df-9ba3-4ee7-b7eb-55b5343b61bb","resolution":{"observed_at":"2026-08-15T22:50:55.450137Z","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":"2026-08-15T22:50:55.454820Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.454820Z"},"links":{"citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:add919ae6a9576df40938b69e5bfc1dcf85a6926272d06c2c43329bdb4f4c763","observation_id":"a0b7eb2a-9643-453f-9c25-137a07d0f007","resolution":{"observed_at":"2026-08-15T22:50:55.454820Z","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":"2026-08-15T22:50:55.458906Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.458906Z"},"links":{"citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:1d3eeccc36d624f0b7bd7db667a2ccebed7575e211035787d2c3fa985792f59b","observation_id":"e9b44b5a-d1ae-4f92-8607-2d1e352e756b","resolution":{"observed_at":"2026-08-15T22:50:55.458906Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.04345","last_updated":"2020-08-26T19:32:58Z","snapshot_observed_at":"2026-08-11T22:13:26.092065Z","submitted_at":"2020-05-09T01:59:13Z","title":"An Investigation of Why Overparameterization Exacerbates Spurious Correlations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.04345","snapshot_observed_at":"2026-08-15T22:50:55.462665Z","title":"W.; and Liang, P","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.462665Z"},"links":{"cited_paper":"/paper/2005.04345","citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:cb9211daaf9c4860a074f00d6004e427160beb60c81921c0b9dbc6e58d77fc83","observation_id":"040432c2-3ddb-4666-9c1e-ac174a9599e3","resolution":{"observed_at":"2026-08-15T22:50:55.462665Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1610.02391","last_updated":"2019-12-03T02:13:03Z","snapshot_observed_at":"2026-08-18T05:52:09.911956Z","submitted_at":"2016-10-07T19:54:24Z","title":"Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.02391","snapshot_observed_at":"2026-08-15T22:50:55.466801Z","title":"R.; Das, A.; Vedantam, R.; Cogswell, M.; Parikh, D.; and Batra, D","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.466801Z"},"links":{"cited_paper":"/paper/1610.02391","citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:1bd18fd72cc2262dea9f7e43171a6f75028fc5110fe284081a1812aacd58c0f4","observation_id":"83c38a39-05a1-4822-901f-8e80ebfc58f1","resolution":{"observed_at":"2026-08-15T22:50:55.466801Z","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":"2026-08-15T22:50:55.471184Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T22:50:55.471184Z"},"links":{"citing_paper":"/paper/2505.06185"},"observation_digest":"sha256:913e9edb2d6f7708f710e1c30a6362b9af4e1d7aebf8033d5eb5bce0cf708992","observation_id":"9585c79d-3edb-4d62-8f49-0c7bad643fa0","resolution":{"observed_at":"2026-08-15T22:50:55.471184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.06185","last_updated":"2025-05-13T06:06:57Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T16:14:00.525363Z","submitted_at":"2025-05-09T16:54:26Z","title":"Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":15,"verified_exact":0,"verified_fuzzy":2},"total_outbound_references":18},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2505.06185."}