{"as_of":"2026-08-17T08:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:132fc13c2d158f59cd06e8daca02a3a3a3c18a2b43dcd014a1417ed83a505248","coverage":[{"denominator":68,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":68,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T14:30:49.336787Z","state":"measured"},{"denominator":68,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":68,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2607.29059/citation-record","integrity":"/paper/2607.29059/integrity","json":"/paper/2607.29059/citation-record.json","paper":"/paper/2607.29059"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T14:30:49.136276Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.136276Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:8bceb3c2f4d4fd190f70df76ee630ab6fa043894a7ec148480f8f073b4e024bf","observation_id":"d07e9473-62fc-4aa3-9642-9fbc12be7aa1","resolution":{"observed_at":"2026-08-03T14:30:49.136276Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1607.06450","last_updated":"2016-07-21T19:57:52Z","snapshot_observed_at":"2026-08-15T04:53:45.483331Z","submitted_at":"2016-07-21T19:57:52Z","title":"Layer Normalization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1607.06450","snapshot_observed_at":"2026-08-03T14:30:49.140404Z","title":"arXiv preprint arXiv:1607.06450 (2016) 25","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.140404Z"},"links":{"cited_paper":"/paper/1607.06450","citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:c642bc3297336055da536c98e98ba43221419328eb7c13703d41b01f70ed0ce6","observation_id":"6f49f7b0-efb1-481a-b321-1fc4468875ff","resolution":{"observed_at":"2026-08-03T14:30:49.140404Z","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":"2026-08-03T14:30:49.144439Z","title":"In: Proceedings eighth IEEE international conference on computer vision","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.144439Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:3e4ecc8dfacd734b68547a04d2d39803e896bd8410e4820d982c07e122496748","observation_id":"661d1df5-fdc5-4d6e-bb02-c545110dfc38","resolution":{"observed_at":"2026-08-03T14:30:49.144439Z","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":"2026-08-03T14:30:49.148033Z","title":"IEEE Transactions on pattern analysis and machine intelligence (6), 679–698 (1986) 27","venue":null,"work_id":null,"year":1986},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.148033Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:03097f6ba2f28edcf1c1ad078dced61c61152917763613bd6f0509305ca7cca5","observation_id":"eedfde82-c483-4a22-b004-4894f8ff611d","resolution":{"observed_at":"2026-08-03T14:30:49.148033Z","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":"2026-08-03T14:30:49.151352Z","title":"Advances in neural information processing systems34, 10919–10930 (2021) 15","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.151352Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:d2e71c1901259d8ee59585caca1fae7ca2a1c4956f75d0e70d09e4b753be9a19","observation_id":"ac3b91af-420f-4457-a87e-08b0be6edae7","resolution":{"observed_at":"2026-08-03T14:30:49.151352Z","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":"2026-08-03T14:30:49.154677Z","title":"In: Proceedings of the European conference on computer vision (ECCV)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.154677Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:7a004dbe3a26adc299d1c29c820de3e1e0db0d1eb1f02ac07cc2e284e9228759","observation_id":"cb627e12-7fa8-448c-9a15-76515921187d","resolution":{"observed_at":"2026-08-03T14:30:49.154677Z","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":"2026-08-03T14:30:49.158358Z","title":"In: International conference on machine learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.158358Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:85ea8ce3f12e8662d6006f45b8f1653de425d946810d99164736b928b7a0c4d6","observation_id":"bcaad038-6d16-4b8b-9fb7-46f930d89c40","resolution":{"observed_at":"2026-08-03T14:30:49.158358Z","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":"2026-08-03T14:30:49.161585Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.161585Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:28c2c666e5550f1f148abc43857ac67bd700c714ad604ab88f38fda1f23d0e93","observation_id":"1d5eaf6f-5004-4839-bdfe-340e27bf2ff9","resolution":{"observed_at":"2026-08-03T14:30:49.161585Z","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":"2026-08-03T14:30:49.164368Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.164368Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:8ca03f9beaa17a273c932c983d1744f8cc06c9fda7c4dae68cc05a382928e7a1","observation_id":"2283a0ba-5a2a-4b7d-9c24-d8088c1aa65d","resolution":{"observed_at":"2026-08-03T14:30:49.164368Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1902.03368","last_updated":"2019-03-29T17:36:27Z","snapshot_observed_at":"2026-08-15T04:41:37.630801Z","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":"2026-08-03T14:30:49.167153Z","title":"arXiv preprint arXiv:1902.03368 (2019) 24","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.167153Z"},"links":{"cited_paper":"/paper/1902.03368","citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:6436dac2837e4c23686df21a919ee89f942c246aabf2e99ca7b48de283017f54","observation_id":"5fbb6b84-c069-4425-8447-f37c2edd89cc","resolution":{"observed_at":"2026-08-03T14:30:49.167153Z","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":"2026-08-03T14:30:49.170834Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.170834Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:70c8eeba7bd69d0503b9f47d400995ed5ca9c9295a6c143a8310a32f085c80f8","observation_id":"b4a529fa-0282-4cb9-a16d-0e858a80d281","resolution":{"observed_at":"2026-08-03T14:30:49.170834Z","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":"2026-08-03T14:30:49.174007Z","title":"In: International Conference on Learning Representations (2021) 11, 25, 34","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.174007Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:d8c2b21fece70e029281899ae9b48a108e9d27e0e9f5d12d5e272cd8726eb93c","observation_id":"e067adbe-acbe-4ad7-a181-32116036ebda","resolution":{"observed_at":"2026-08-03T14:30:49.174007Z","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":"2026-08-03T14:30:49.177026Z","title":"International journal of computer vision88, 303–338 (2010) 20","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.177026Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:3ea20ac1a936db7faebfa858ba5a3c30a39404aa1e1d964554ed62b6baf02ac3","observation_id":"45671b98-cfc6-4a9f-ad78-3c38c8631835","resolution":{"observed_at":"2026-08-03T14:30:49.177026Z","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":"2026-08-03T14:30:49.180276Z","title":"In: European conference on computer vision","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.180276Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:a374f84aa9f6c08ec905d9381b22f0ef61054e026e988eb7c25fb08a2f438bb7","observation_id":"3108c7f9-5035-4b35-bb2b-6854604c8174","resolution":{"observed_at":"2026-08-03T14:30:49.180276Z","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":"2026-08-03T14:30:49.183000Z","title":"In: International Conference on Learning Representations (ICLR) (2015) 4, 6","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.183000Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:53eb0659d9765607d2beabef5663dc73271f70c5cc4a42591e9a71f27ce89f70","observation_id":"1acc6221-ce66-46aa-9f7e-b86cc4b18300","resolution":{"observed_at":"2026-08-03T14:30:49.183000Z","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":"2026-08-03T14:30:49.185783Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.185783Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:aaefffa8c70f1bdfa5bd1abb947bbf22d0658667804ffa9aa458760fbfd7d031","observation_id":"a4601118-8383-48e9-992d-f675275d7255","resolution":{"observed_at":"2026-08-03T14:30:49.185783Z","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":"2026-08-03T14:30:49.188313Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.188313Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:d281bac3486aa48f40ccfbe51691293e1956eebba5082ce5af3193bf16417295","observation_id":"f32a2dfd-b21b-4e5a-8d82-ae289654b294","resolution":{"observed_at":"2026-08-03T14:30:49.188313Z","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":"2026-08-03T14:30:49.193023Z","title":"In: Proceedings of the IEEE international conference on computer vision","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.193023Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:1e9e2e097251f5495a6708dc0baa2291fafcf8ad89627d413eb57bb78354fa9d","observation_id":"53a8144f-0213-466b-9485-e7e6cc4ba294","resolution":{"observed_at":"2026-08-03T14:30:49.193023Z","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":"2026-08-03T14:30:49.195941Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.195941Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:86e2bb920fc9957e6de1123a833c077958d6157eb6d83133ac7ab09df648bc0e","observation_id":"bdc3869a-f97e-4a8d-be84-87da654cba94","resolution":{"observed_at":"2026-08-03T14:30:49.195941Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.08415","last_updated":"2023-06-06T01:53:32Z","snapshot_observed_at":"2026-08-13T19:48:28.322536Z","submitted_at":"2016-06-27T19:20:40Z","title":"Gaussian Error Linear Units (GELUs)","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.08415","snapshot_observed_at":"2026-08-03T14:30:49.198704Z","title":"arXiv preprint arXiv:1606.08415 (2016) 25","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.198704Z"},"links":{"cited_paper":"/paper/1606.08415","citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:2bc23e7a573cc9ed7b37abf9aaf4cdc06c2260c27305abcf116170d8aa334dab","observation_id":"d552aeaf-b270-4949-b206-befc45e49f40","resolution":{"observed_at":"2026-08-03T14:30:49.198704Z","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":"2026-08-03T14:30:49.201939Z","title":"In: International Conference on Learning Representations (2020) 4, 6","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.201939Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:6fd0266bbaf1fe2b52a7e9f4969351786295378ae8ad40c99383e50332c98b92","observation_id":"ced746a3-8daf-4536-b1cd-735c2d0152eb","resolution":{"observed_at":"2026-08-03T14:30:49.201939Z","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":"2026-08-03T14:30:49.204589Z","title":"Advances in Neural Information Processing Systems36, 29914–29934 (2023) 12","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.204589Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:c6b1e659ffd5c288601110c81a7b5dbcdb9d67a572aaeffdebb64b7aad50fc90","observation_id":"505d07f2-3b25-4692-b15f-1ada2d7b1548","resolution":{"observed_at":"2026-08-03T14:30:49.204589Z","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":"2026-08-03T14:30:49.207289Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.207289Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:82b777c2fdf219f64678fc6d2ad2ad70577313fdff0f85a81bf30a28794dcfb4","observation_id":"ca28aeea-a3be-41c3-82f3-c346da0b698a","resolution":{"observed_at":"2026-08-03T14:30:49.207289Z","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":"2026-08-03T14:30:49.209884Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recog- nition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.209884Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:10d82b4c3ecaeb5866be8593f650a3309a082b18a15e77dd573cd83a62036563","observation_id":"063e6536-5a02-4912-a5d8-52b75d05a6ed","resolution":{"observed_at":"2026-08-03T14:30:49.209884Z","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":"2026-08-03T14:30:49.212375Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.212375Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:2a1395e6a315cff6d2125069bd2c14ede63212a05f74dbe60f80eed498a8820e","observation_id":"b7482e65-e3e2-4ffe-b294-55c8dbb34323","resolution":{"observed_at":"2026-08-03T14:30:49.212375Z","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":"2026-08-03T14:30:49.214947Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.214947Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:46e84cb7b0fda07e796d593abf22cf8d4efb6f1f491e157487b44f71c21e9d7d","observation_id":"dca13e4e-b7d6-445d-8b0b-512a7576b2ee","resolution":{"observed_at":"2026-08-03T14:30:49.214947Z","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":"2026-08-03T14:30:49.217476Z","title":"In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.217476Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:de23f56bbee230f234cb0bb246ba24e936f0422f802d513e201152ef6c5574db","observation_id":"fd4d721e-9140-4e1e-9a18-067f7d8a8b3b","resolution":{"observed_at":"2026-08-03T14:30:49.217476Z","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":"2026-08-03T14:30:49.220344Z","title":"In: Proceedings of the IEEE/CVF international conference on computer vision","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.220344Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:745f0949bc8f12e86b14b46e39972722c85a8bfc7585365e74e44db8dace050c","observation_id":"4db1a158-189a-4215-afa2-e4521ca92fca","resolution":{"observed_at":"2026-08-03T14:30:49.220344Z","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":"2026-08-03T14:30:49.223183Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.223183Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:20067b9cdac6e7398e43db387eb644a861c5412b770a32532c7910476b8e28c7","observation_id":"194f979c-cf48-4a44-8c46-01189a5cfad0","resolution":{"observed_at":"2026-08-03T14:30:49.223183Z","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":"2026-08-03T14:30:49.225889Z","title":"Advances in neural information processing systems24(2011) 4","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.225889Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:56648976c0e70b8c0a4a1e9d2ea49f980b5a2518dc190cb5b5cb0004e3ac811a","observation_id":"cce74801-4551-4f3d-bcd7-46a1293a8cf4","resolution":{"observed_at":"2026-08-03T14:30:49.225889Z","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":"2026-08-03T14:30:49.228710Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.228710Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:9b6d4fe106502a4c1626946f7f4e42e0bb8361c7b1ca497910af06f61d18a4f7","observation_id":"0d356a9b-d23c-4d21-86fb-a3b24a93d058","resolution":{"observed_at":"2026-08-03T14:30:49.228710Z","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":"2026-08-03T14:30:49.231414Z","title":"In: International conference on machine learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.231414Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:28d30d8c78ded392e1de7742dde97a159016a601745b86f4f02e271fd7f3ddfd","observation_id":"85cadd74-6a65-41eb-8149-b04e18648610","resolution":{"observed_at":"2026-08-03T14:30:49.231414Z","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":"2026-08-03T14:30:49.234258Z","title":"In: European conference on computer vision","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.234258Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:678c6778fa46a6586ede05934c8805e16d81945099220abcf5fdf7e68e20d837","observation_id":"632ac3ee-7f88-44d9-a0d6-ab48ed983830","resolution":{"observed_at":"2026-08-03T14:30:49.234258Z","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":"2026-08-03T14:30:49.237139Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.237139Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:7804a471e08711e9929534509b2cea8b935095178931a80ff3ebb293345c3434","observation_id":"8870a4b7-8401-4c1f-8879-2f054d16201b","resolution":{"observed_at":"2026-08-03T14:30:49.237139Z","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":"2026-08-03T14:30:49.240082Z","title":"In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.240082Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:d0a586ddd05d20ce66cfae0f343b94549c6d386adf542ae1ef7f61f5dab6a5cd","observation_id":"0d661096-51ca-4249-b1db-23ceafe0f790","resolution":{"observed_at":"2026-08-03T14:30:49.240082Z","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":"2026-08-03T14:30:49.243765Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.243765Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:ff4110a6219533a6faee310aabc23a22e456cb0394ceb79fed969e4081dbaae0","observation_id":"01156eb0-3428-4d4d-9ed1-36b22a6c6881","resolution":{"observed_at":"2026-08-03T14:30:49.243765Z","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":"2026-08-03T14:30:49.246594Z","title":"In: Computer vision– ECCV 2014: 13th European conference, zurich, Switzerland, September 6-12, 2014, proceedings, part v 13","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.246594Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:4a905b2fcea3573282914e39e88abbba1400a7304dabce606a009f31abcd3550","observation_id":"1a50e6d2-57af-4767-a247-0e4ce60a75c6","resolution":{"observed_at":"2026-08-03T14:30:49.246594Z","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":"2026-08-03T14:30:49.249728Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.249728Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:3169a551b8c82081df47c353fd7d9836cb07296f9abbd97f8fb23c06d3d72212","observation_id":"e250eb49-5760-4660-8efb-f4ac37d161d3","resolution":{"observed_at":"2026-08-03T14:30:49.249728Z","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":"2026-08-03T14:30:49.252759Z","title":"In: The Thirteenth International Conference on Learning Representations (2025) 2, 3, 4, 5, 21, 26, 35, 38","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.252759Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:77a302053578092aa6ed4a1dd5c9acd76e7c9f6a4ef83b41880a0ad9834a09f9","observation_id":"4248db1f-a63c-4bfc-ab19-d808f5c7db0e","resolution":{"observed_at":"2026-08-03T14:30:49.252759Z","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":"2026-08-03T14:30:49.255817Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.255817Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:15c007aef311d1821ee0f0f8f78bbf4a7904204b3e4d8af50bfed70481ee3620","observation_id":"b03b72ae-ab81-4a8b-a1c5-d09820a4ad9f","resolution":{"observed_at":"2026-08-03T14:30:49.255817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-14T20:13:52.872565Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-03T14:30:49.258856Z","title":"arXiv preprint arXiv:1711.05101 (2017) 11, 26","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.258856Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:68c8700367c2c22e669864960ad4263a7051d2b1ce58a7dbac88fdd42a793232","observation_id":"10a4eb6e-d24f-4ee4-bf5b-162795b875f2","resolution":{"observed_at":"2026-08-03T14:30:49.258856Z","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":"2026-08-03T14:30:49.262070Z","title":"In: International Conference on Learning Representations (2018) 4, 6","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.262070Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:cbb4510564a1095e1b407a18719644068da53cfb4bd4934007add80f2df3cc30","observation_id":"2b667516-b2f1-4723-8117-6506dd5d6cd6","resolution":{"observed_at":"2026-08-03T14:30:49.262070Z","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":"2026-08-03T14:30:49.265138Z","title":"Proceedings of the Royal Society of London","venue":null,"work_id":null,"year":1980},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.265138Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:23833d532868605a0858a45c909b45e6a30e710ad3f76b15f86d8e8f9dc4cefd","observation_id":"a1a3319c-469c-4a9e-a6fa-87a8961e6bf0","resolution":{"observed_at":"2026-08-03T14:30:49.265138Z","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":"2026-08-03T14:30:49.268170Z","title":"In: 2016 fourth international confer- ence on 3D vision (3DV)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.268170Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:b037b508402339ad27b6e4cd0d8f6bcde82d2ced5d0ee432a86a7969463f0734","observation_id":"e09df919-a92e-414c-a9ff-d987c2aeccf6","resolution":{"observed_at":"2026-08-03T14:30:49.268170Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1807.03748","last_updated":"2019-01-22T18:47:12Z","snapshot_observed_at":"2026-08-14T18:53:38.574749Z","submitted_at":"2018-07-10T16:52:11Z","title":"Representation Learning with Contrastive Predictive Coding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.03748","snapshot_observed_at":"2026-08-03T14:30:49.271397Z","title":"arXiv preprint arXiv:1807.03748 (2018) 9, 29","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.271397Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:b2402f2b7932935cd10bab1293caf7633f04a6efe7dfe0175c0436841a62642e","observation_id":"b28aa9d0-1fac-4688-8ab7-6a4576c42bb3","resolution":{"observed_at":"2026-08-03T14:30:49.271397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.01703","last_updated":"2019-12-03T22:06:05Z","snapshot_observed_at":"2026-07-06T08:41:49.632205Z","submitted_at":"2019-12-03T22:06:05Z","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.01703","snapshot_observed_at":"2026-08-03T14:30:49.274547Z","title":"arXiv preprint arXiv:1912.01703 (2019) 26","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.274547Z"},"links":{"cited_paper":"/paper/1912.01703","citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:7bc4e82f3a99f32f6cd72f25aed65aeeab106d7e35da87f51b212211fea86b18","observation_id":"ddf0aa60-2fc9-4ca7-8867-1825c7881b7c","resolution":{"observed_at":"2026-08-03T14:30:49.274547Z","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":"2026-08-03T14:30:49.277762Z","title":"note on regression and inheritance in the case of two parents","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.277762Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:87018778c65c642b46dfc85c7b3f396e0d8f005eba00da9af9e3f2e9e8d01060","observation_id":"55d0c512-d136-4a19-a3a9-bc6323e6f93f","resolution":{"observed_at":"2026-08-03T14:30:49.277762Z","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":"2026-08-03T14:30:49.280511Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.280511Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:a13c4218edb91096a8d9127008cfe1ff44fcfb0ea1beb9ee05c0cb8dff93df7e","observation_id":"9dc5c04f-e7ed-4fe2-9095-efc429d2b805","resolution":{"observed_at":"2026-08-03T14:30:49.280511Z","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":"2026-08-03T14:30:49.283368Z","title":"In: European Conference on Computer Vision","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.283368Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:e86179da07e6b9e3fa6507188be03da3b35c86b2159c198cad60a30b41d9dde6","observation_id":"9a93d50e-df95-4ceb-869a-eabcdf447be3","resolution":{"observed_at":"2026-08-03T14:30:49.283368Z","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":"2026-08-03T14:30:49.285989Z","title":"In: International conference on machine learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.285989Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:6213426238696878f2292f93bbe9c5c208a0b72f107d3047e40aeb4ed61469b9","observation_id":"53bac8d2-2e6b-4970-be4c-723d4fb1dda4","resolution":{"observed_at":"2026-08-03T14:30:49.285989Z","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":"2026-08-03T14:30:49.288695Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.288695Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:00588aa3302f6a05e0d82f68734b3870832b43476bdc5124d63031be289c00f3","observation_id":"87890ec3-97ba-4c4f-b95f-e85ff8d5eefc","resolution":{"observed_at":"2026-08-03T14:30:49.288695Z","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":"2026-08-03T14:30:49.291602Z","title":"In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.291602Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:cdf8ecc937f55f527d78f39a58e2e5cb5d618bce233513484867d38bc82c0e65","observation_id":"40da2436-ab38-4486-bc45-73c9461c72b0","resolution":{"observed_at":"2026-08-03T14:30:49.291602Z","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":"2026-08-03T14:30:49.294316Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.294316Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:f6320bb44803d054bb697559fea48dc7b69224cf8b95316778b101263e9af802","observation_id":"194d87a3-27f4-4fef-9f49-69e2da1e0f9b","resolution":{"observed_at":"2026-08-03T14:30:49.294316Z","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":"2026-08-03T14:30:49.297116Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.297116Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:f2f119f58953051202791e6285685659790384a57ecffad5b23220723f40f507","observation_id":"e83d10c7-1eb2-485a-b978-49e6072ae8d0","resolution":{"observed_at":"2026-08-03T14:30:49.297116Z","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":"2026-08-03T14:30:49.299679Z","title":"In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, Au- gust 23–28, 2020, Proceedings, Part I 16","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.299679Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:b04d8be4b4a49b327ff0dc3a23667679fe193088a0ab205f5deb30b341aff6a7","observation_id":"5e4ae070-5474-4d5e-8aae-8d0d6d8ef535","resolution":{"observed_at":"2026-08-03T14:30:49.299679Z","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":"2026-08-03T14:30:49.302277Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.302277Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:9935d801423ad627972443b594fbc2b71f5a8f9fe537c739549f6ca16cb21a29","observation_id":"a2fb7c83-1bda-4731-8084-8398ed005ebf","resolution":{"observed_at":"2026-08-03T14:30:49.302277Z","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":"2026-08-03T14:30:49.305338Z","title":"Advances in neural information pro- cessing systems30(2017) 26","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.305338Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:d61b3e606086148654c8ce26cff0af9e9016e0856e5e6e3c3398b950fa9fc4ea","observation_id":"e332ade1-5cce-4907-aac0-003be9250e06","resolution":{"observed_at":"2026-08-03T14:30:49.305338Z","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":"2026-08-03T14:30:49.308125Z","title":"IEEE transactions on pattern analysis and machine intelligence43(10), 3349–3364 (2020) 12","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.308125Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:80b9dd40f263b5337f7418a7ffda9754ccf57687a212b0ac20132cf03d2d3bc4","observation_id":"1a9cce92-3ae0-4936-a0f0-cd2ce61be4d5","resolution":{"observed_at":"2026-08-03T14:30:49.308125Z","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":"2026-08-03T14:30:49.310678Z","title":"Advances in Neural Information Processing Systems36, 79761–79780 (2023) 2, 3, 4, 5, 8, 10, 35, 38","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.310678Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:310870e9f26881f38f7e00750eeb2f7f28c26e746111533fbb83882a727c53f8","observation_id":"94d9de6d-692a-492b-ac5d-4ef03d21df9c","resolution":{"observed_at":"2026-08-03T14:30:49.310678Z","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":"2026-08-03T14:30:49.313453Z","title":"In: International conference on ma- chine learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.313453Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:470a2b61df99f50e266dcc2f1e1a4f98c66d7081bf7298a042d35d3278955b2b","observation_id":"72ba7a6b-32dc-4065-8e6a-288eb8cbdb6a","resolution":{"observed_at":"2026-08-03T14:30:49.313453Z","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":"2026-08-03T14:30:49.316220Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.316220Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:1c6ce6290196c1fa5a55b80ad196b361f04b5ad2e1f9661d2146fa8c33bec0ab","observation_id":"c0237a04-8fd4-47c8-96f3-de58724a63d4","resolution":{"observed_at":"2026-08-03T14:30:49.316220Z","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":"2026-08-03T14:30:49.319011Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.319011Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:48212368bd4687982c919eb348a3d7223c54aa4cc03823aabab8937d540d3a4c","observation_id":"264158dd-bd12-45f9-b7b3-ea4f36457025","resolution":{"observed_at":"2026-08-03T14:30:49.319011Z","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":"2026-08-03T14:30:49.321813Z","title":"Advances in neural information processing systems34, 12077–12090 (2021) 2, 3","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.321813Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:2e522369a8695aff925c7871954f95881794f84bf796d07ec799bcaf9988ba18","observation_id":"0c0c668e-ad84-4a3c-aaf4-2c9723a44a11","resolution":{"observed_at":"2026-08-03T14:30:49.321813Z","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":"2026-08-03T14:30:49.324605Z","title":"In: Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.324605Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:fce97ae4c699eef6fbf550f2c4d5b640ca9fe698b527aa5f738a5f06baf230c4","observation_id":"724d4807-51c1-47fe-8405-7f869e445751","resolution":{"observed_at":"2026-08-03T14:30:49.324605Z","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":"2026-08-03T14:30:49.327642Z","title":"In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XII 16","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.327642Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:6602b121cd750aa9c86ebe2d49433f3600b4f0a0ea50e046377cc61336b1aca7","observation_id":"520df0f8-0456-4240-a061-71c493786cdf","resolution":{"observed_at":"2026-08-03T14:30:49.327642Z","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":"2026-08-03T14:30:49.330257Z","title":"In: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.330257Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:75a12e97bde63c8d8ebc168fa0528d98119d9b5c798ca0895c6a5de4567c72fa","observation_id":"46390eae-f0a3-4e18-9e63-aa50632057c4","resolution":{"observed_at":"2026-08-03T14:30:49.330257Z","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":"2026-08-03T14:30:49.333062Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.333062Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:09e6d29940850295becc7d2f6930514ea547961af9181cc1b142d21da1d0a00a","observation_id":"26749910-f904-44da-95d3-13ba7c498ace","resolution":{"observed_at":"2026-08-03T14:30:49.333062Z","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":"2026-08-03T14:30:49.336787Z","title":"In: European Conference on Computer Vision","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-03T14:30:49.336787Z"},"links":{"citing_paper":"/paper/2607.29059"},"observation_digest":"sha256:fd0db971c9969f0d373c9755707e1f74eaa8bb691a6499b05ef47c1f59f48300","observation_id":"c4b3dd3e-5dea-4f1b-b4d0-bf2bcc73f8bd","resolution":{"observed_at":"2026-08-03T14:30:49.336787Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.29059","last_updated":"2026-07-31T06:26:37Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T14:58:20.699040Z","submitted_at":"2026-07-31T06:26:37Z","title":"Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation"},"reference_resolution":{"displayed":68,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":67,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":68},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2607.29059."}