{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:6QJMEOVRI7VL7BJTHACJLX55KV","short_pith_number":"pith:6QJMEOVR","canonical_record":{"source":{"id":"1312.7018","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-12-25T20:35:20Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"9288ec11f35910d4f15828d35444e4bd8a62ce163737190bf4a197b56c2140f3","abstract_canon_sha256":"7963640a2a790165f4e4a26595c11c5c1409b483e2b8a11c71f9d78be3e668ec"},"schema_version":"1.0"},"canonical_sha256":"f412c23ab147eabf8533380495dfbd554146adbb9ded04b311122f94901bbb18","source":{"kind":"arxiv","id":"1312.7018","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1312.7018","created_at":"2026-05-18T03:03:46Z"},{"alias_kind":"arxiv_version","alias_value":"1312.7018v1","created_at":"2026-05-18T03:03:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1312.7018","created_at":"2026-05-18T03:03:46Z"},{"alias_kind":"pith_short_12","alias_value":"6QJMEOVRI7VL","created_at":"2026-05-18T12:27:36Z"},{"alias_kind":"pith_short_16","alias_value":"6QJMEOVRI7VL7BJT","created_at":"2026-05-18T12:27:36Z"},{"alias_kind":"pith_short_8","alias_value":"6QJMEOVR","created_at":"2026-05-18T12:27:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:6QJMEOVRI7VL7BJTHACJLX55KV","target":"record","payload":{"canonical_record":{"source":{"id":"1312.7018","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-12-25T20:35:20Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"9288ec11f35910d4f15828d35444e4bd8a62ce163737190bf4a197b56c2140f3","abstract_canon_sha256":"7963640a2a790165f4e4a26595c11c5c1409b483e2b8a11c71f9d78be3e668ec"},"schema_version":"1.0"},"canonical_sha256":"f412c23ab147eabf8533380495dfbd554146adbb9ded04b311122f94901bbb18","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:03:46.096271Z","signature_b64":"8jGpUhLxu7oV6n/hooqKGVfm95NTUqm9z7IZrosWVwHQqt0uscNsDlpf/DCnwihCYXoBbwT4ngvMCyYelZIGBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f412c23ab147eabf8533380495dfbd554146adbb9ded04b311122f94901bbb18","last_reissued_at":"2026-05-18T03:03:46.095530Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:03:46.095530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1312.7018","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:03:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4R5fHHH5pWRLumpoDClYQqNtLZgddK+sO/fdAKepPf4naL7fV3fzk98RugvM5bRUx/zJv5kBkRZEdBd3PlGTDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T22:28:45.613590Z"},"content_sha256":"bdfe425775f8edbc482eaf01a8dba4c4e94656d16e43756382f8b3772f041c49","schema_version":"1.0","event_id":"sha256:bdfe425775f8edbc482eaf01a8dba4c4e94656d16e43756382f8b3772f041c49"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:6QJMEOVRI7VL7BJTHACJLX55KV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Mixture model-based functional discriminant analysis for curve classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"stat.ME","authors_text":"Faicel Chamroukhi, Herv\\'e Glotin","submitted_at":"2013-12-25T20:35:20Z","abstract_excerpt":"Statistical approaches for Functional Data Analysis concern the paradigm for which the individuals are functions or curves rather than finite dimensional vectors. In this paper, we particularly focus on the modeling and the classification of functional data which are temporal curves presenting regime changes over time. More specifically, we propose a new mixture model-based discriminant analysis approach for functional data using a specific hidden process regression model. Our approach is particularly adapted to both handle the problem of complex-shaped classes of curves, where each class is c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1312.7018","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:03:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W01RpNJ1V6jem/uZOm1tc1/lJS6bx1diZVOViutO/7lzUQI6zIPkUj5xvLcBLg0UAdLxxIfK7ckQRI6c5zxKBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T22:28:45.614328Z"},"content_sha256":"fcc49521bca056d622e14632f94e6dd8ec619cfb219de306948993fa361038bd","schema_version":"1.0","event_id":"sha256:fcc49521bca056d622e14632f94e6dd8ec619cfb219de306948993fa361038bd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6QJMEOVRI7VL7BJTHACJLX55KV/bundle.json","state_url":"https://pith.science/pith/6QJMEOVRI7VL7BJTHACJLX55KV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6QJMEOVRI7VL7BJTHACJLX55KV/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-10T22:28:45Z","links":{"resolver":"https://pith.science/pith/6QJMEOVRI7VL7BJTHACJLX55KV","bundle":"https://pith.science/pith/6QJMEOVRI7VL7BJTHACJLX55KV/bundle.json","state":"https://pith.science/pith/6QJMEOVRI7VL7BJTHACJLX55KV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6QJMEOVRI7VL7BJTHACJLX55KV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:6QJMEOVRI7VL7BJTHACJLX55KV","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":"7963640a2a790165f4e4a26595c11c5c1409b483e2b8a11c71f9d78be3e668ec","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-12-25T20:35:20Z","title_canon_sha256":"9288ec11f35910d4f15828d35444e4bd8a62ce163737190bf4a197b56c2140f3"},"schema_version":"1.0","source":{"id":"1312.7018","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1312.7018","created_at":"2026-05-18T03:03:46Z"},{"alias_kind":"arxiv_version","alias_value":"1312.7018v1","created_at":"2026-05-18T03:03:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1312.7018","created_at":"2026-05-18T03:03:46Z"},{"alias_kind":"pith_short_12","alias_value":"6QJMEOVRI7VL","created_at":"2026-05-18T12:27:36Z"},{"alias_kind":"pith_short_16","alias_value":"6QJMEOVRI7VL7BJT","created_at":"2026-05-18T12:27:36Z"},{"alias_kind":"pith_short_8","alias_value":"6QJMEOVR","created_at":"2026-05-18T12:27:36Z"}],"graph_snapshots":[{"event_id":"sha256:fcc49521bca056d622e14632f94e6dd8ec619cfb219de306948993fa361038bd","target":"graph","created_at":"2026-05-18T03:03:46Z","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":"Statistical approaches for Functional Data Analysis concern the paradigm for which the individuals are functions or curves rather than finite dimensional vectors. In this paper, we particularly focus on the modeling and the classification of functional data which are temporal curves presenting regime changes over time. More specifically, we propose a new mixture model-based discriminant analysis approach for functional data using a specific hidden process regression model. Our approach is particularly adapted to both handle the problem of complex-shaped classes of curves, where each class is c","authors_text":"Faicel Chamroukhi, Herv\\'e Glotin","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-12-25T20:35:20Z","title":"Mixture model-based functional discriminant analysis for curve classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1312.7018","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:bdfe425775f8edbc482eaf01a8dba4c4e94656d16e43756382f8b3772f041c49","target":"record","created_at":"2026-05-18T03:03:46Z","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":"7963640a2a790165f4e4a26595c11c5c1409b483e2b8a11c71f9d78be3e668ec","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-12-25T20:35:20Z","title_canon_sha256":"9288ec11f35910d4f15828d35444e4bd8a62ce163737190bf4a197b56c2140f3"},"schema_version":"1.0","source":{"id":"1312.7018","kind":"arxiv","version":1}},"canonical_sha256":"f412c23ab147eabf8533380495dfbd554146adbb9ded04b311122f94901bbb18","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f412c23ab147eabf8533380495dfbd554146adbb9ded04b311122f94901bbb18","first_computed_at":"2026-05-18T03:03:46.095530Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:03:46.095530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8jGpUhLxu7oV6n/hooqKGVfm95NTUqm9z7IZrosWVwHQqt0uscNsDlpf/DCnwihCYXoBbwT4ngvMCyYelZIGBg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:03:46.096271Z","signed_message":"canonical_sha256_bytes"},"source_id":"1312.7018","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bdfe425775f8edbc482eaf01a8dba4c4e94656d16e43756382f8b3772f041c49","sha256:fcc49521bca056d622e14632f94e6dd8ec619cfb219de306948993fa361038bd"],"state_sha256":"9552cded0527f86c946b8722cf98a8f486f469f2623bf7bc07861c72c4756284"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QH3Y5xhDXrIZ+WPrajRdnGV7bxx2Kp7Xr4EsBkVwbrTEocnlpywRstGrIcH8fEO5xGizOUkWsO46yqJ78N9NAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T22:28:45.618487Z","bundle_sha256":"e754de4b1f9b077e25de44a49a7fa8821f7f586d5445e6d7283d950328f1ef09"}}