{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:VTGYAFFY3YLJGGH6PJ6O5Z2I5S","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"5a45f3d538391f3af456b1798930ab574d996210a5278f80a73cd85acbb739eb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-25T18:03:30Z","title_canon_sha256":"044cb687d394a90e2b5616d7de0242a205487fc537612d6f615915e5c4518566"},"schema_version":"1.0","source":{"id":"2209.12282","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.12282","created_at":"2026-07-05T05:00:50Z"},{"alias_kind":"arxiv_version","alias_value":"2209.12282v1","created_at":"2026-07-05T05:00:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.12282","created_at":"2026-07-05T05:00:50Z"},{"alias_kind":"pith_short_12","alias_value":"VTGYAFFY3YLJ","created_at":"2026-07-05T05:00:50Z"},{"alias_kind":"pith_short_16","alias_value":"VTGYAFFY3YLJGGH6","created_at":"2026-07-05T05:00:50Z"},{"alias_kind":"pith_short_8","alias_value":"VTGYAFFY","created_at":"2026-07-05T05:00:50Z"}],"graph_snapshots":[{"event_id":"sha256:2e12405c28078e23eef7869efa66e5c827829e212f8c20bf6f3006684d93c710","target":"graph","created_at":"2026-07-05T05:00:50Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2209.12282/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Feature selection has drawn much attention over the last decades in machine learning because it can reduce data dimensionality while maintaining the original physical meaning of features, which enables better interpretability than feature extraction. However, most existing feature selection approaches, especially deep-learning-based, often focus on the features with great importance scores only but neglect those with less importance scores during training as well as the order of important candidate features. This can be risky since some important and relevant features might be unfortunately ig","authors_text":"Bin Yang, Jochen Rivoir, Rapha\\\"el Latty, Yiwen Liao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-25T18:03:30Z","title":"Deep Feature Selection Using a Novel Complementary Feature Mask"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.12282","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:7c1d3b1d7aa057fba49851afb78535ffb0dca4275a74cae41496d01e08d1c598","target":"record","created_at":"2026-07-05T05:00:50Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"5a45f3d538391f3af456b1798930ab574d996210a5278f80a73cd85acbb739eb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-25T18:03:30Z","title_canon_sha256":"044cb687d394a90e2b5616d7de0242a205487fc537612d6f615915e5c4518566"},"schema_version":"1.0","source":{"id":"2209.12282","kind":"arxiv","version":1}},"canonical_sha256":"accd8014b8de169318fe7a7ceee748ec846ee9e3373f030d777aff8ae1a0d3c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"accd8014b8de169318fe7a7ceee748ec846ee9e3373f030d777aff8ae1a0d3c6","first_computed_at":"2026-07-05T05:00:50.497215Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:00:50.497215Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Gi0PGff8kDIc8xU0eH94oJtgpKPFt/VmEH0Y9yHQ44RiVrSoaEBaej0HfE8YYUWvfmWd5Wl+sTp1MW4pA+CNBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:00:50.497575Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.12282","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7c1d3b1d7aa057fba49851afb78535ffb0dca4275a74cae41496d01e08d1c598","sha256:2e12405c28078e23eef7869efa66e5c827829e212f8c20bf6f3006684d93c710"],"state_sha256":"b4ac524aff405b8efc71a5cf2051d6008fa81840635dbf67761402b47daf1eb9"}