{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:ZEELVDUJXGSMUQ5SMY3HNJYT5E","short_pith_number":"pith:ZEELVDUJ","canonical_record":{"source":{"id":"1301.3514","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2013-01-15T22:07:45Z","cross_cats_sorted":["q-bio.GN"],"title_canon_sha256":"f6d4bb41185772c4798eec73806bdfb019f1f4d370b9a214a11b5905fc34af3e","abstract_canon_sha256":"9c34a23ac656fb4b52e9a6853f9161c911f96d95b7d5bbf3efd2fd3b0a3a9237"},"schema_version":"1.0"},"canonical_sha256":"c908ba8e89b9a4ca43b2663676a713e905c82144ad10928d7117e67417a80e5f","source":{"kind":"arxiv","id":"1301.3514","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1301.3514","created_at":"2026-05-18T03:36:17Z"},{"alias_kind":"arxiv_version","alias_value":"1301.3514v1","created_at":"2026-05-18T03:36:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1301.3514","created_at":"2026-05-18T03:36:17Z"},{"alias_kind":"pith_short_12","alias_value":"ZEELVDUJXGSM","created_at":"2026-05-18T12:28:09Z"},{"alias_kind":"pith_short_16","alias_value":"ZEELVDUJXGSMUQ5S","created_at":"2026-05-18T12:28:09Z"},{"alias_kind":"pith_short_8","alias_value":"ZEELVDUJ","created_at":"2026-05-18T12:28:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:ZEELVDUJXGSMUQ5SMY3HNJYT5E","target":"record","payload":{"canonical_record":{"source":{"id":"1301.3514","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2013-01-15T22:07:45Z","cross_cats_sorted":["q-bio.GN"],"title_canon_sha256":"f6d4bb41185772c4798eec73806bdfb019f1f4d370b9a214a11b5905fc34af3e","abstract_canon_sha256":"9c34a23ac656fb4b52e9a6853f9161c911f96d95b7d5bbf3efd2fd3b0a3a9237"},"schema_version":"1.0"},"canonical_sha256":"c908ba8e89b9a4ca43b2663676a713e905c82144ad10928d7117e67417a80e5f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:36:17.566173Z","signature_b64":"jaqXW6L6QEX2RtSzqzuYo/Ix16Ci7pNGbVzCXdssyi5wKiPtw4Bonh3P8YPU16kLjICYi7OgnrGuwJEj63wiCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c908ba8e89b9a4ca43b2663676a713e905c82144ad10928d7117e67417a80e5f","last_reissued_at":"2026-05-18T03:36:17.565645Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:36:17.565645Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1301.3514","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":"2026-05-18T03:36:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D0GWbjHfN3uiDhGeMO5EQYYr2o6CV7YVRBGxujquaNbBtAY08/k5Z1ISPyOGu9PLzBK52upkguqYaQu57b7nBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T20:34:11.439358Z"},"content_sha256":"b9d5acd7b1ab4c34eba34b03a4f2f49d9ad44c027a437582cabd09e005154606","schema_version":"1.0","event_id":"sha256:b9d5acd7b1ab4c34eba34b03a4f2f49d9ad44c027a437582cabd09e005154606"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:ZEELVDUJXGSMUQ5SMY3HNJYT5E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Anomaly Classification with the Anti-Profile Support Vector Machine","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.GN"],"primary_cat":"stat.ML","authors_text":"Hector Corrada Bravo, Wikum Dinalankara","submitted_at":"2013-01-15T22:07:45Z","abstract_excerpt":"We introduce the anti-profile Support Vector Machine (apSVM) as a novel algorithm to address the anomaly classification problem, an extension of anomaly detection where the goal is to distinguish data samples from a number of anomalous and heterogeneous classes based on their pattern of deviation from a normal stable class. We show that under heterogeneity assumptions defined here that the apSVM can be solved as the dual of a standard SVM with an indirect kernel that measures similarity of anomalous samples through similarity to the stable normal class. We characterize this indirect kernel as "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1301.3514","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":"2026-05-18T03:36:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HCcDwHLF31dXrwu6XGiDWSWAd5i0zUFUMqBKWSfrkT+GWsfXf/FkK8C5Iza8AfOh9Y4ilwGuht5M7cwZpsNdBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T20:34:11.439702Z"},"content_sha256":"dbb0b9989ccea8f1cf50b139b94ac9e0e7ca1582dcefd3c324cfbc3b09dec4be","schema_version":"1.0","event_id":"sha256:dbb0b9989ccea8f1cf50b139b94ac9e0e7ca1582dcefd3c324cfbc3b09dec4be"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZEELVDUJXGSMUQ5SMY3HNJYT5E/bundle.json","state_url":"https://pith.science/pith/ZEELVDUJXGSMUQ5SMY3HNJYT5E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZEELVDUJXGSMUQ5SMY3HNJYT5E/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":"2026-06-25T20:34:11Z","links":{"resolver":"https://pith.science/pith/ZEELVDUJXGSMUQ5SMY3HNJYT5E","bundle":"https://pith.science/pith/ZEELVDUJXGSMUQ5SMY3HNJYT5E/bundle.json","state":"https://pith.science/pith/ZEELVDUJXGSMUQ5SMY3HNJYT5E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZEELVDUJXGSMUQ5SMY3HNJYT5E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:ZEELVDUJXGSMUQ5SMY3HNJYT5E","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":"9c34a23ac656fb4b52e9a6853f9161c911f96d95b7d5bbf3efd2fd3b0a3a9237","cross_cats_sorted":["q-bio.GN"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2013-01-15T22:07:45Z","title_canon_sha256":"f6d4bb41185772c4798eec73806bdfb019f1f4d370b9a214a11b5905fc34af3e"},"schema_version":"1.0","source":{"id":"1301.3514","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1301.3514","created_at":"2026-05-18T03:36:17Z"},{"alias_kind":"arxiv_version","alias_value":"1301.3514v1","created_at":"2026-05-18T03:36:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1301.3514","created_at":"2026-05-18T03:36:17Z"},{"alias_kind":"pith_short_12","alias_value":"ZEELVDUJXGSM","created_at":"2026-05-18T12:28:09Z"},{"alias_kind":"pith_short_16","alias_value":"ZEELVDUJXGSMUQ5S","created_at":"2026-05-18T12:28:09Z"},{"alias_kind":"pith_short_8","alias_value":"ZEELVDUJ","created_at":"2026-05-18T12:28:09Z"}],"graph_snapshots":[{"event_id":"sha256:dbb0b9989ccea8f1cf50b139b94ac9e0e7ca1582dcefd3c324cfbc3b09dec4be","target":"graph","created_at":"2026-05-18T03:36:17Z","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":"We introduce the anti-profile Support Vector Machine (apSVM) as a novel algorithm to address the anomaly classification problem, an extension of anomaly detection where the goal is to distinguish data samples from a number of anomalous and heterogeneous classes based on their pattern of deviation from a normal stable class. We show that under heterogeneity assumptions defined here that the apSVM can be solved as the dual of a standard SVM with an indirect kernel that measures similarity of anomalous samples through similarity to the stable normal class. We characterize this indirect kernel as ","authors_text":"Hector Corrada Bravo, Wikum Dinalankara","cross_cats":["q-bio.GN"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2013-01-15T22:07:45Z","title":"Anomaly Classification with the Anti-Profile Support Vector Machine"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1301.3514","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:b9d5acd7b1ab4c34eba34b03a4f2f49d9ad44c027a437582cabd09e005154606","target":"record","created_at":"2026-05-18T03:36:17Z","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":"9c34a23ac656fb4b52e9a6853f9161c911f96d95b7d5bbf3efd2fd3b0a3a9237","cross_cats_sorted":["q-bio.GN"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2013-01-15T22:07:45Z","title_canon_sha256":"f6d4bb41185772c4798eec73806bdfb019f1f4d370b9a214a11b5905fc34af3e"},"schema_version":"1.0","source":{"id":"1301.3514","kind":"arxiv","version":1}},"canonical_sha256":"c908ba8e89b9a4ca43b2663676a713e905c82144ad10928d7117e67417a80e5f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c908ba8e89b9a4ca43b2663676a713e905c82144ad10928d7117e67417a80e5f","first_computed_at":"2026-05-18T03:36:17.565645Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:36:17.565645Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jaqXW6L6QEX2RtSzqzuYo/Ix16Ci7pNGbVzCXdssyi5wKiPtw4Bonh3P8YPU16kLjICYi7OgnrGuwJEj63wiCA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:36:17.566173Z","signed_message":"canonical_sha256_bytes"},"source_id":"1301.3514","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b9d5acd7b1ab4c34eba34b03a4f2f49d9ad44c027a437582cabd09e005154606","sha256:dbb0b9989ccea8f1cf50b139b94ac9e0e7ca1582dcefd3c324cfbc3b09dec4be"],"state_sha256":"c41bb80cf185c0743cd0dacc2ce0c574e4f998436ae92babdbe5622f5f87be9b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XFnMODMUcUb/AoF/EuVf2qIijjIjURezy0sJtG88+lx+wLLvX7X2VF0UF+oeK2r3zE9B50YJSuLTIA6ovfXXAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T20:34:11.442240Z","bundle_sha256":"a9ec1f756f4647764f0046653d59fd10eb45b2cbc71f72262a556db7132b2e57"}}