{"as_of":"2026-08-07T21:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aad077472b91538eb8b49b01744df435e2d6d7614cfccac1b9fe515657fdd1f9","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T14:59:13.688952Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2507.17185/citation-record","integrity":"/paper/2507.17185/integrity","json":"/paper/2507.17185/citation-record.json","paper":"/paper/2507.17185"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1001/archderm.141.8.1032","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:59:16.203504Z","title":"ABCDE —An Evolving Concept in the Early Detection of Melanoma","venue":null,"work_id":"fb83552a-1491-4fa9-94f3-2f9f69fda5a2","year":2005},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:10.111756Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:35cf5ddec31c29f3264797be0a6bbeb1c7e541d2581d251bbaef4a3afd683948","observation_id":"418d1658-0c90-4973-ab41-bbf6d7342642","resolution":{"observed_at":"2026-08-06T14:59:16.366678Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2133.2005","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:59:18.489649Z","title":"Three -point checklist of dermoscopy: an open internet study","venue":null,"work_id":"51b89485-e521-4a4a-9792-357b0cf940ba","year":2005},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:10.279548Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:aca56c775154d7e303284e51d4d4bc7a02777fafaa76cab14bf928661e00eee3","observation_id":"14e131ef-3067-4926-bcef-8d5dd2f1ed6d","resolution":{"observed_at":"2026-08-06T14:59:18.580748Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1001/archderm.144.4.554","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:59:15.950140Z","title":"CASH Algo rithm for Dermoscopy Revisited","venue":null,"work_id":"493433da-1c7f-4695-8df8-10122d63a30e","year":2008},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:10.461521Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:f6b852f76de4f6de1a7c2e983bc59ab09b490da9c75d211480317a6c0e91b651","observation_id":"518ce521-e2ae-445e-850b-844414cb8aaf","resolution":{"observed_at":"2026-08-06T14:59:16.090603Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1605.01397","last_updated":"2016-05-04T19:49:17Z","snapshot_observed_at":"2026-07-06T04:55:08.624415Z","submitted_at":"2016-05-04T19:49:17Z","title":"Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.01397","snapshot_observed_at":"2026-08-06T14:59:10.608600Z","title":"F.; Celebi, Emre; Helba, Brian; Marchetti, Michael; Mishra, Nabin; Halpern, Allan","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:10.608600Z"},"links":{"cited_paper":"/paper/1605.01397","citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:ebb13665c1c1ba0e2b3334f08db48fb244c32c8055501b17324e24163579e328","observation_id":"f63af377-e921-4faf-b79a-27d03ba74f01","resolution":{"observed_at":"2026-08-06T14:59:10.608600Z","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":"10.1097/00008390-200110000-00009","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:59:15.676730Z","title":"Structural asymmetry as a dermatoscopic indicator of malignant melanoma – a latent class analysis of sensitivity and classification errors","venue":null,"work_id":"488bff28-cd38-4a6b-a580-9a9112f2ffff","year":2001},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:10.774035Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:85f0a920357c4b4edad8f87667a7ebbf27da8e28ed3d1acacfe55639d38478f8","observation_id":"a1cfb0ad-0008-45f8-a324-68a5b86cb127","resolution":{"observed_at":"2026-08-06T14:59:15.785266Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.compbiomed.2003.11.004","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:59:15.277435Z","title":"Determining the asymmetry of skin lesion with fuzzy borders","venue":null,"work_id":"ae864849-b0c2-4eba-8dd7-888abf4a081a","year":2005},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:10.970435Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:7ccaef5ce18d8f93cc32e7c11d68226f826f39ef48c53a70f64ca4abc6ca239d","observation_id":"2f70fef6-4352-45e8-a059-7fbe751bb54e","resolution":{"observed_at":"2026-08-06T14:59:15.526581Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2011.61157","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:59:18.212630Z","title":"Automatic boundary detection and symmetry calculation in dermoscopy images of skin lesions","venue":null,"work_id":"10b8f6c1-a8f8-4c91-b29b-44145f245b46","year":2011},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:11.136249Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:ea191baf841fa702814f85cad93641162cbba8fe78e789cacf1cd32218d3f8be","observation_id":"f2d9d58c-71df-421f-b62d-db671812e5c0","resolution":{"observed_at":"2026-08-06T14:59:18.246041Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2016.75915","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:59:17.635643Z","title":"Dermatologist -like feature extraction from skin lesion for improved asymmetry classification in PH2 database","venue":null,"work_id":"2bba2b08-0cc9-4a20-ad3e-7531b64bb685","year":2016},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:11.303516Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:e187f4e4036c1a548f9b62cbb521e335a70e2eba10c526b1df692a464707d621","observation_id":"9ea380f1-3d89-478e-adf7-d2d8d60b146c","resolution":{"observed_at":"2026-08-06T14:59:17.800896Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2017.80952","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:59:17.206791Z","title":"Skin lesions dermatological shape asymmetry measures,","venue":null,"work_id":"b7568e3c-9eed-411d-8f25-839434ee28df","year":2017},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:11.457237Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:8d1bc78b93c48daf6f8bbb2e58f1d4617c6353433a9ba41f967d2e85e424c03b","observation_id":"128fe4db-f0a4-4c56-b45c-442a2199822a","resolution":{"observed_at":"2026-08-06T14:59:17.400635Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/s12911-018-0641-7","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:59:14.949891Z","title":"Quantitative evaluation of binary digital region asymmetry with application to skin lesion detection","venue":null,"work_id":"535e7105-ff2f-4040-bce2-1eb36dcf5142","year":2018},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:11.581105Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:f292e6c67debf8f2191a60b1d3db06bb4fa881543b0f5736e4c1423003bc0d47","observation_id":"4dddda4d-2577-4c65-8da9-9ec57254f208","resolution":{"observed_at":"2026-08-06T14:59:15.098876Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1371/journal.pone.0234352","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:59:14.695432Z","title":"Towards the automatic detection of skin lesion shape asymmetry, color variegation and diameter in dermoscopic images","venue":null,"work_id":"c68da78d-5b7a-49cc-af99-60ebb5a4cffb","year":2020},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:11.700262Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:9f8e23d96c9ca38832a13ae9a23339cfc7a97269139abb2874a86b103f334fd8","observation_id":"4352b4fe-bc0c-4261-bde1-3c712d2c0934","resolution":{"observed_at":"2026-08-06T14:59:14.837203Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2150.2021","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:59:16.899643Z","title":"Skin Lesions Asymmetry Estimation Using Artificial Neural Networks","venue":null,"work_id":"c5a5d303-6205-4b75-8059-266b30f20148","year":2021},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:11.823725Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:7f561d0625d17f33fcbe45600733cb4a4103190e6eca60dc924c147911db6516","observation_id":"7b95ca8a-c485-4632-9580-589ed20cab99","resolution":{"observed_at":"2026-08-06T14:59:17.004771Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1742-6596/1883/1/012070","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:59:14.394006Z","title":"Asymmetry analysis of melanoma based on ABCD rule","venue":null,"work_id":"fc0aca81-664c-4a77-acd9-b8580f7191bb","year":2021},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:11.971074Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:da6fb4f86bc1f164bc1d9769e7c301dc4c27e70c435d726beb8069ae542e9077","observation_id":"5b5ee6dd-2cc2-4490-89ae-c45dd9e32f5a","resolution":{"observed_at":"2026-08-06T14:59:14.531858Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.10545","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:59:16.590731Z","title":"A novel approach for skin lesion symmetry classification with a deep learning model","venue":null,"work_id":"39bc52e1-c85c-4c25-aa28-2a54260f39fb","year":2022},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:12.142162Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:e08c4928e7ff5ea3be95ce4421d3ec1cb226e4f30d9d76ec0aab8c4b6925b1a2","observation_id":"fd784064-6063-436d-b502-0edac250523c","resolution":{"observed_at":"2026-08-06T14:59:16.716251Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T14:59:19.137961Z","title":"Ferreira, Jorge Marques, Andre R","venue":null,"work_id":"8d5ed9ca-a4f0-4806-a0b4-2c9004ecdf70","year":2013},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:12.327142Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:b91317100bc447fe32766af22e187e7f49976164cbfbbf8a1f3428410348e935","observation_id":"e54e439e-ab9a-4aa2-a19f-04a5c47b159b","resolution":{"observed_at":"2026-08-06T14:59:19.228073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T14:59:18.987803Z","title":"Imagenet: A large -scale hierarchical image database","venue":null,"work_id":"f68d4526-e07c-412d-94ad-cd0cfaff4ec3","year":2009},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:12.483688Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:f5844877d6192620a4178098d3579c238e1b6b94a55bd542f66cdc3a086f93ad","observation_id":"03b6092f-11db-4ee2-8201-9cead528feda","resolution":{"observed_at":"2026-08-06T14:59:19.040275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T14:59:12.707134Z","title":"Deep Residual Learning for Image Recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:12.707134Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:089e79afe11cf3b92f0a236292e60d14482a40d23b2e39fc91d2690d8493dc2f","observation_id":"325d5307-4a00-48ed-8610-196a9349d497","resolution":{"observed_at":"2026-08-06T14:59:12.707134Z","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":"2026-08-06T14:59:12.870603Z","title":"ImageNet classification with deep convolutional neural networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:12.870603Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:dc1d89a74c7e41fab0985001713a54f664b09203cc78ea36168698c37e6ef153","observation_id":"aae97c7a-2e43-4a89-ae8f-b3384d8a93c6","resolution":{"observed_at":"2026-08-06T14:59:12.870603Z","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":"2026-08-06T14:59:13.083268Z","title":"Review of deep learning: concepts, CNN architectures, challenges, applications, future directions","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:13.083268Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:94b2108c74c8030e754594f726bee9dd8cf98a31a92dd56086bcb002eed398e3","observation_id":"eca1ec84-ccbc-4004-a5ac-2a6db28c2a0f","resolution":{"observed_at":"2026-08-06T14:59:13.083268Z","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":"2026-08-06T14:59:18.778591Z","title":"and Darrell, T., 2014, January","venue":null,"work_id":"106a40b7-8fa3-48a7-baa2-9ebdb30a4c1b","year":2014},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:13.249858Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:676026b170ba3889266bd59ecb2aeff8d6cf425138362103cc73313685a54a7c","observation_id":"c2c3eb4b-6ef1-47ca-a8ac-d610d500cbb8","resolution":{"observed_at":"2026-08-06T14:59:18.924614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3329/dujs.v64i2.54490","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:59:14.088986Z","title":"Minimizing Average of Loss Functions Using Gradient Descent and Stochastic Gradient Desc ent","venue":null,"work_id":"4ff0a5e0-ebdf-4f6e-b698-6f3a35731224","year":2016},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:13.378491Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:562a8a854ae2bcf40521d9e8ae5913f1e4e139a9846d346d12d27d2231cbc307","observation_id":"b14cb09d-5fa3-4ce8-a073-a707b8c8aece","resolution":{"observed_at":"2026-08-06T14:59:14.221193Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10994-014-5434-3","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:59:13.859350Z","title":"An improved multiclass LogitBoost using adaptive -one-vs-one","venue":null,"work_id":"95386995-a3e0-4093-88f1-baeb765dd22c","year":2014},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:13.489789Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:f6624c6308d1808b82dc02e49839a8559bcda3268e228ce05b62140b3f3797b1","observation_id":"5653e898-f6c7-46de-8e1b-3aa8e0d3e463","resolution":{"observed_at":"2026-08-06T14:59:13.975638Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1902.03368","last_updated":"2019-03-29T17:36:27Z","snapshot_observed_at":"2026-08-07T00:39:52.073704Z","submitted_at":"2019-02-09T04:18:10Z","title":"Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1902.03368","snapshot_observed_at":"2026-08-06T14:59:13.597186Z","title":"Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:13.597186Z"},"links":{"cited_paper":"/paper/1902.03368","citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:4e4253f244fb9b39a8e8322b6720fb07c4838eca3e121d7931ad0bc8adbc4242","observation_id":"f0d9f78d-f0f9-4de3-af4d-2de3eb8ae9b2","resolution":{"observed_at":"2026-08-06T14:59:13.597186Z","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":"2026-08-06T14:59:13.688952Z","title":"The HAM10000 dataset, a large collection of multi -sourcedermatoscopic images of common pigmented skin lesions","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:13.688952Z"},"links":{"citing_paper":"/paper/2507.17185"},"observation_digest":"sha256:a189548e77f2968c1ee0bbe2f50ee5004bf4ce1a57770d2e5cf8f04837c0b86f","observation_id":"bd103101-0f96-4012-8ec1-2ea91456a402","resolution":{"observed_at":"2026-08-06T14:59:13.688952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.17185","last_updated":"2025-07-23T04:17:57Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T16:38:51.732766Z","submitted_at":"2025-07-23T04:17:57Z","title":"Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":0,"metadata_mismatch":4,"parse_uncertain":0,"unresolved":6,"verified_exact":11,"verified_fuzzy":3},"total_outbound_references":24},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.17185."}