{"as_of":"2026-08-10T00:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a8ecd097612b760ef9bdd21a9970b6d6600f84303bb67eaf6a69e52ccc4a46e2","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T17:29:49.810899Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2607.17632/citation-record","integrity":"/paper/2607.17632/integrity","json":"/paper/2607.17632/citation-record.json","paper":"/paper/2607.17632"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:29:47.174564Z","title":"Nature Machine Intelligence4(12), 1185–1197 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:47.174564Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:bac3c233b0b4ec4d2190d4eb771d94b02041641aee852767ca4dea2cf94ed161","observation_id":"8559a159-cd98-4ca0-9caf-3cc53e4ab2d6","resolution":{"observed_at":"2026-08-01T17:29:47.174564Z","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":"2026-08-01T17:29:47.230912Z","title":"Evolving Systems16(4), 111 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:47.230912Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:2d2617624d9378b576b136d4ed45c98bdab0c4e591513b8d6054ab428476472f","observation_id":"71cde818-946c-436d-a389-5edf4a1c757d","resolution":{"observed_at":"2026-08-01T17:29:47.230912Z","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":"2026-08-01T17:29:47.322062Z","title":"Evolving Systems17(2), 53 (2026)","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:47.322062Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:bc82536a71a9a12370cea7dcc5cda53009abfe78a0bac8b450a2e9ee9d49831e","observation_id":"d9b61343-5ba4-4cee-b927-9c4908f99768","resolution":{"observed_at":"2026-08-01T17:29:47.322062Z","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":"2026-08-01T17:29:47.384565Z","title":"In: Pro- ceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:47.384565Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:a04a496bf4e72aa683b7fbdd8364ade3a2b07b19dd4f1ce0cdd21d33a1c896b3","observation_id":"8d5eee85-6b86-4070-ad1c-d9915b0d782b","resolution":{"observed_at":"2026-08-01T17:29:47.384565Z","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":"2026-08-01T17:29:47.466972Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:47.466972Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:ff9c7926d969e1c5a3bc2bead33a05aa4608dfc675019cdd59c918120a01acf7","observation_id":"1a6c79bb-f3d8-42b1-a643-4ec893cab1f8","resolution":{"observed_at":"2026-08-01T17:29:47.466972Z","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":"2026-08-01T17:29:47.557373Z","title":"arXiv preprint arXiv:2602.04252 (2026)","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:47.557373Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:6fae5edcd116b27cbe2d8bdf0172be3f78535c9bc6870e22b4671effa1ee04d1","observation_id":"c53249c0-83ef-4ebb-a625-7e2e0d20f734","resolution":{"observed_at":"2026-08-01T17:29:47.557373Z","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":"2026-08-01T17:29:47.652349Z","title":"Evolving Systems14(3), 437– 460 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:47.652349Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:46103e175669d08048c7c0264b408763a5ba55ea0945c1e74c5b23c3c7f22039","observation_id":"5cd24397-1de9-4cdc-9f22-17bb62004cba","resolution":{"observed_at":"2026-08-01T17:29:47.652349Z","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":"2026-08-01T17:29:47.738456Z","title":"IEEE Transactions on Artificial Intelligence5(6), 2526–2546 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:47.738456Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:ae6c2ab58b0f564c31c97b98a1d68608550859b369e81431cb872b6bb3fcc89e","observation_id":"cd7491d3-df17-4320-b693-8e1af86d2b39","resolution":{"observed_at":"2026-08-01T17:29:47.738456Z","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":"2026-08-01T17:29:47.830649Z","title":"Proceedings of the national academy of sciences114(13), 3521–3526 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:47.830649Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:03ac2f62f2e8b9fbdd0bcc42ec4111ef0f34b295ffcf07a092b4a55e862f512e","observation_id":"4b1b5d0b-d15e-42f4-81d0-cc2c4922c0eb","resolution":{"observed_at":"2026-08-01T17:29:47.830649Z","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":"2026-08-01T17:29:47.927798Z","title":"IEEE transactions on pattern analysis and machine intelligence40(12), 2935–2947 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:47.927798Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:c102c2648e5f7b2a92eb098ce62aa6ff2159f77cb0f753bc7670ceeae30f8791","observation_id":"ad4cbbd5-f6cd-4bc4-a935-6cfa59345955","resolution":{"observed_at":"2026-08-01T17:29:47.927798Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-07-06T04:11:24.157003Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-01T17:29:48.015476Z","title":"arXiv preprint arXiv:1503.02531 (2015)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:48.015476Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:9d903c6e58a9c5ad6d577594a036b8201e720781ce808a6aaf91b0367c97cd73","observation_id":"4c57a469-65cf-4820-8d15-ff2e90bc8c4b","resolution":{"observed_at":"2026-08-01T17:29:48.015476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1701.08734","last_updated":"2017-01-30T18:06:07Z","snapshot_observed_at":"2026-08-08T23:54:34.458489Z","submitted_at":"2017-01-30T18:06:07Z","title":"PathNet: Evolution Channels Gradient Descent in Super Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.08734","snapshot_observed_at":"2026-08-01T17:29:48.111725Z","title":"arXiv preprint arXiv:1701.08734 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:48.111725Z"},"links":{"cited_paper":"/paper/1701.08734","citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:25139553841b330985633e9e4c4dacc3e78178cce1f5b369874f425e83459489","observation_id":"6566f082-faf2-4840-975b-d7310e8698f3","resolution":{"observed_at":"2026-08-01T17:29:48.111725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.04671","last_updated":"2022-10-22T14:34:44Z","snapshot_observed_at":"2026-08-09T14:14:13.613085Z","submitted_at":"2016-06-15T08:20:51Z","title":"Progressive Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.04671","snapshot_observed_at":"2026-08-01T17:29:48.201337Z","title":"arXiv preprint arXiv:1606.04671 (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:48.201337Z"},"links":{"cited_paper":"/paper/1606.04671","citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:33a1385c6cc29ad3cf3c6f8da3fe78cb5d4680431258b5676451e4353b3ecfe9","observation_id":"e61e8db3-c821-4356-80f8-c8c10da468cf","resolution":{"observed_at":"2026-08-01T17:29:48.201337Z","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":"2026-08-01T17:29:48.273153Z","title":"In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:48.273153Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:42db84724dccbf0fcdf05ef750d4238460139b997565073dea5447f96a18ae61","observation_id":"3f751355-620f-4641-a68c-7cd6a33dcb68","resolution":{"observed_at":"2026-08-01T17:29:48.273153Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1902.10486","last_updated":"2019-06-04T07:59:35Z","snapshot_observed_at":"2026-08-07T08:44:38.959537Z","submitted_at":"2019-02-27T12:34:19Z","title":"On Tiny Episodic Memories in Continual Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1902.10486","snapshot_observed_at":"2026-08-01T17:29:48.356407Z","title":"arXiv preprint arXiv:1902.10486 (2019)","venue":null,"work_id":null,"year":1902},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:48.356407Z"},"links":{"cited_paper":"/paper/1902.10486","citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:6e39966429272818e9411a1c0ce081eafde60156baf1d52106bfdb4d5a3f5e00","observation_id":"0a040376-6b5d-486e-b849-ed19069dd79d","resolution":{"observed_at":"2026-08-01T17:29:48.356407Z","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":"2026-08-01T17:29:48.460572Z","title":"Advances in neural information processing systems33, 15920–15930 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:48.460572Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:a2ba87d0bc5a695a2c70037952e70c19f51ce1fabfb135700fe44eb53339176d","observation_id":"df70f6f7-f8d0-42d1-9cf7-967fd67c2a18","resolution":{"observed_at":"2026-08-01T17:29:48.460572Z","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":"2026-08-01T17:29:48.539030Z","title":"In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:48.539030Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:f3b493401b42b5febe50bf351b443161353c38da63fddd5261182b371721e06f","observation_id":"afcb8b43-1b09-40e8-b57c-ffb0d0f7bce3","resolution":{"observed_at":"2026-08-01T17:29:48.539030Z","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":"2026-08-01T17:29:48.609868Z","title":"24 Advances in neural information processing systems30(2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:48.609868Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:28fd028c0611a04e6dfd8e9949309535da8654d0c7cfe8908ac4120d8f6eb4bc","observation_id":"61fff914-7042-427c-9ff9-7dc7d5938ec9","resolution":{"observed_at":"2026-08-01T17:29:48.609868Z","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":"2026-08-01T17:29:48.680765Z","title":"Advances in neural information processing systems32(2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:48.680765Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:db17a91f4470ffec21bcaa4688bbc64ca23ede0baa19272f20703b1d90ba47c6","observation_id":"d81d1d65-94de-4711-b8fa-1e561150942a","resolution":{"observed_at":"2026-08-01T17:29:48.680765Z","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":"2026-08-01T17:29:48.755028Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence, vol","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:48.755028Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:e5a37a88362db7e2214a4503871cde568034c37f84b3ee2c30653a4544e16c76","observation_id":"f0232e28-4b1b-4769-b610-c498a99a239b","resolution":{"observed_at":"2026-08-01T17:29:48.755028Z","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":"2026-08-01T17:29:48.817474Z","title":"Evolving Systems10(1), 63–78 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:48.817474Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:39adc8e547e4973f7ae85c6c58083831098fa231c8f41503bce69320c1ce801f","observation_id":"3ea02023-e9e7-4844-9c31-fd90d8f685be","resolution":{"observed_at":"2026-08-01T17:29:48.817474Z","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":"2026-08-01T17:29:48.906974Z","title":"Mathematics11(4), 820 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:48.906974Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:ddaf003911257c377f7c75eb0fdd9da221997bdadb996b370e200ae2d2be3fff","observation_id":"9992b550-59a0-49c4-8c7e-743aa74c8987","resolution":{"observed_at":"2026-08-01T17:29:48.906974Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1708.00489","last_updated":"2018-06-01T10:17:23Z","snapshot_observed_at":"2026-07-06T05:53:39.440274Z","submitted_at":"2017-08-01T19:50:53Z","title":"Active Learning for Convolutional Neural Networks: A Core-Set Approach","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.00489","snapshot_observed_at":"2026-08-01T17:29:48.999473Z","title":"arXiv preprint arXiv:1708.00489 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:48.999473Z"},"links":{"cited_paper":"/paper/1708.00489","citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:8f0bdb3d31b549a8b6831b0fc30f2ad9846b98e3609f4c8e35cfa111c80d4c39","observation_id":"16ce15cd-2709-4273-a9d3-8280d49f9091","resolution":{"observed_at":"2026-08-01T17:29:48.999473Z","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":"2026-08-01T17:29:49.072823Z","title":"The Scientific World Journal2014(1), 827586 (2014)","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:49.072823Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:b80b9a07ca114a11feca204360e9b2735eb2a3cd6f96ffeae37791a5d5e29725","observation_id":"3ea2ff55-2b95-4f56-be26-1158175ac09c","resolution":{"observed_at":"2026-08-01T17:29:49.072823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.00867","last_updated":"2025-03-02T12:06:16Z","snapshot_observed_at":"2026-08-07T17:35:58.622839Z","submitted_at":"2025-03-02T12:06:16Z","title":"DUAL: Diversity and Uncertainty Active Learning for Text Summarization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.00867","snapshot_observed_at":"2026-08-01T17:29:49.124155Z","title":"arXiv preprint arXiv:2503.00867 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:49.124155Z"},"links":{"cited_paper":"/paper/2503.00867","citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:57b6e25937029e9950f429c65a6f9ef8d8e238dedfe25250d2d042bbc4882267","observation_id":"1ab5e947-dbbb-4b33-927f-c4d3cd47c9cb","resolution":{"observed_at":"2026-08-01T17:29:49.124155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.02794","last_updated":"2022-06-16T14:36:33Z","snapshot_observed_at":"2026-08-09T01:14:02.296087Z","submitted_at":"2022-02-06T15:09:05Z","title":"Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.02794","snapshot_observed_at":"2026-08-01T17:29:49.188666Z","title":"arXiv preprint arXiv:2202.02794 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:49.188666Z"},"links":{"cited_paper":"/paper/2202.02794","citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:0a61d457eeaa0a6b8734fd4c62fb860aca762f25986e820d42de45108bda2bfa","observation_id":"90e1f4af-fe33-401c-9a10-1e91d0f802e6","resolution":{"observed_at":"2026-08-01T17:29:49.188666Z","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":"2026-08-01T17:29:49.276290Z","title":"ACM Transactions on Mathe- matical Software (TOMS)11(1), 37–57 (1985)","venue":null,"work_id":null,"year":1985},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:49.276290Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:fcc8e97b0bff84bed4c6caa8ed18989b6e01b940b69d84869f555e1d569dee04","observation_id":"2afac019-6591-48ab-ba7f-9899af71abf2","resolution":{"observed_at":"2026-08-01T17:29:49.276290Z","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":"2026-08-01T17:29:49.374245Z","title":"IF AC-PapersOnLine59(26), 229–234 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:49.374245Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:676dc409355c38a328dd7fd5603d903eadb30b7ee3c7425e4be34ad85aecfb3a","observation_id":"16e36f56-9430-4b7c-9b27-779a55fc1110","resolution":{"observed_at":"2026-08-01T17:29:49.374245Z","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":"2026-08-01T17:29:49.438761Z","title":"UCI Machine Learning Repository (2013)","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:49.438761Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:900b73132346a2095258b629875fb2f9803df82ac45c60bcec6c7090f571b4e3","observation_id":"ed2ea571-7351-4b3d-95f3-d07b80e18a0b","resolution":{"observed_at":"2026-08-01T17:29:49.438761Z","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":"2026-08-01T17:29:49.533884Z","title":"arXiv preprint arXiv:2603.20352 (2026)","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:49.533884Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:f4add5ffae5de76fbb58cccda2838b5291fda42175bdde5467fa88a6d144626b","observation_id":"85ecf18f-939c-4308-b93f-145704ad177c","resolution":{"observed_at":"2026-08-01T17:29:49.533884Z","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":"10.13026/dzhr-nj10","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"PhysioNet","venue":"PhysioNet","work_id":"c329f8a3-9cad-4ca4-b149-5c9b2d478329","year":2022},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:49.631239Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:97a22e4a25aacd468c87f3c7d995c78862f84c5a7fb5d9d982854e069f4c1200","observation_id":"48cf4b1b-1742-4bed-bca6-c5699efb41ad","resolution":{"observed_at":"2026-08-01T17:33:47.464996Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-01T17:29:49.720996Z","title":"ACM SigKDD Explorations Newsletter12(2), 74–82 (2011)","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:49.720996Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:940527f94e75d6e782f23c62dedc150d2f4541ab35953d9ab05fa7b002384d32","observation_id":"d837ce6a-99f0-4c5a-8a79-3ee0ea1f2949","resolution":{"observed_at":"2026-08-01T17:29:49.720996Z","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":"2026-08-01T17:29:49.810899Z","title":"In: Proceedings of the European Conference on Computer Vision (ECCV), pp","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T17:29:49.810899Z"},"links":{"citing_paper":"/paper/2607.17632"},"observation_digest":"sha256:280dc87d55afd8c37a5bc0b0679928d4617e391dbb2c09cabb40767f5e63bc0b","observation_id":"3409d24a-76c1-4f50-982a-1ae14b79cb3e","resolution":{"observed_at":"2026-08-01T17:29:49.810899Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.17632","last_updated":"2026-07-20T07:39:17Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T19:04:52.349873Z","submitted_at":"2026-07-20T07:39:17Z","title":"TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":32,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":33},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.17632."}