{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:QATSEIEFEDO4OOY5F53FWUFBWO","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":"c878e14805e603ec33d149685184a02c51dd39ba034c0553894742fb199a15a5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-08-30T06:51:31Z","title_canon_sha256":"eaaf16c94e42dc05f41f9a3ad03ccb171183ff308d792caef7b6bd1cf649da5e"},"schema_version":"1.0","source":{"id":"1508.07535","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1508.07535","created_at":"2026-05-18T01:34:32Z"},{"alias_kind":"arxiv_version","alias_value":"1508.07535v1","created_at":"2026-05-18T01:34:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1508.07535","created_at":"2026-05-18T01:34:32Z"},{"alias_kind":"pith_short_12","alias_value":"QATSEIEFEDO4","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_16","alias_value":"QATSEIEFEDO4OOY5","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_8","alias_value":"QATSEIEF","created_at":"2026-05-18T12:29:37Z"}],"graph_snapshots":[{"event_id":"sha256:879dd663644f6ba503184cdc87f2fec3308aa88f316c0351d25f66af929ecd05","target":"graph","created_at":"2026-05-18T01:34:32Z","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"},"paper":{"abstract_excerpt":"A general approach for anomaly detection or novelty detection consists in estimating high density regions or Minimum Volume (MV) sets. The One-Class Support Vector Machine (OCSVM) is a state-of-the-art algorithm for estimating such regions from high dimensional data. Yet it suffers from practical limitations. When applied to a limited number of samples it can lead to poor performance even when picking the best hyperparameters. Moreover the solution of OCSVM is very sensitive to the selection of hyperparameters which makes it hard to optimize in an unsupervised setting. We present a new approac","authors_text":"Albert Thomas (LTCI), Alexandre Gramfort (LTCI), Vincent Feuillard","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-08-30T06:51:31Z","title":"Calibration of One-Class SVM for MV set estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1508.07535","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":"sha256:822b0c4ed52b79623f5640d14932f6b74efea2fd2763673ba934a2ce57ea869b","target":"record","created_at":"2026-05-18T01:34:32Z","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":"c878e14805e603ec33d149685184a02c51dd39ba034c0553894742fb199a15a5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-08-30T06:51:31Z","title_canon_sha256":"eaaf16c94e42dc05f41f9a3ad03ccb171183ff308d792caef7b6bd1cf649da5e"},"schema_version":"1.0","source":{"id":"1508.07535","kind":"arxiv","version":1}},"canonical_sha256":"802722208520ddc73b1d2f765b50a1b3b57deeea227f8f89a4c1ee1304163bc9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"802722208520ddc73b1d2f765b50a1b3b57deeea227f8f89a4c1ee1304163bc9","first_computed_at":"2026-05-18T01:34:32.080446Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:34:32.080446Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rLa4/aCrVnaP9+c6zBMkG4R7pUZFr52LkJF2lFL1smAHCNP7q7iqEvm5wGYGhOuyklYMMIVZ87E/6msxasUsDw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:34:32.080874Z","signed_message":"canonical_sha256_bytes"},"source_id":"1508.07535","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:822b0c4ed52b79623f5640d14932f6b74efea2fd2763673ba934a2ce57ea869b","sha256:879dd663644f6ba503184cdc87f2fec3308aa88f316c0351d25f66af929ecd05"],"state_sha256":"fff01a1723e499023e44f9d2059bfe15d2ec20fcb6978ac872284e12eea0be1f"}