{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:KKI3C3XV6MHWW6SRYLO2K52RBQ","short_pith_number":"pith:KKI3C3XV","canonical_record":{"source":{"id":"1512.04392","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-12-14T16:23:59Z","cross_cats_sorted":[],"title_canon_sha256":"592375e1269507ed1f517bde17510aa8ab5b238c07359e35e10cd10f040e1ed4","abstract_canon_sha256":"8ee5b999054ca969afaf05deaae4dfa7ad01851fa6779c1d5e9797c16c67cf6e"},"schema_version":"1.0"},"canonical_sha256":"5291b16ef5f30f6b7a51c2dda577510c3418ad94a0715df768286eaf45dc1410","source":{"kind":"arxiv","id":"1512.04392","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.04392","created_at":"2026-05-18T01:23:44Z"},{"alias_kind":"arxiv_version","alias_value":"1512.04392v2","created_at":"2026-05-18T01:23:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.04392","created_at":"2026-05-18T01:23:44Z"},{"alias_kind":"pith_short_12","alias_value":"KKI3C3XV6MHW","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_16","alias_value":"KKI3C3XV6MHWW6SR","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_8","alias_value":"KKI3C3XV","created_at":"2026-05-18T12:29:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:KKI3C3XV6MHWW6SRYLO2K52RBQ","target":"record","payload":{"canonical_record":{"source":{"id":"1512.04392","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-12-14T16:23:59Z","cross_cats_sorted":[],"title_canon_sha256":"592375e1269507ed1f517bde17510aa8ab5b238c07359e35e10cd10f040e1ed4","abstract_canon_sha256":"8ee5b999054ca969afaf05deaae4dfa7ad01851fa6779c1d5e9797c16c67cf6e"},"schema_version":"1.0"},"canonical_sha256":"5291b16ef5f30f6b7a51c2dda577510c3418ad94a0715df768286eaf45dc1410","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:23:44.036085Z","signature_b64":"phAPtvxZqcUfWupIVrw8+qPNUwat7D6JxNXt2wR+uQG3JMc9RbCExWLUCgqFJ9Z+h8Hcd/dcU3xy+oilgz61Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5291b16ef5f30f6b7a51c2dda577510c3418ad94a0715df768286eaf45dc1410","last_reissued_at":"2026-05-18T01:23:44.035379Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:23:44.035379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1512.04392","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:23:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oLqFSZRAv1wZz28mnlHhK+F8KwdB5yCPwvXQscTJZL4Z/+1NK5YQcJONlFc1BvAAmd9gBLzkrRlc9bS/yKboDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T09:20:29.216912Z"},"content_sha256":"117718bef7bce78b5e3300fa7a4d99bd297686b208336742dd05ab9c9f21a634","schema_version":"1.0","event_id":"sha256:117718bef7bce78b5e3300fa7a4d99bd297686b208336742dd05ab9c9f21a634"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:KKI3C3XV6MHWW6SRYLO2K52RBQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automatic Incident Classification for Big Traffic Data by Adaptive Boosting SVM","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Henry Y.T. Ngan, Li-Li Wang, Nelson H.C. Yung","submitted_at":"2015-12-14T16:23:59Z","abstract_excerpt":"Modern cities experience heavy traffic flows and congestions regularly across space and time. Monitoring traffic situations becomes an important challenge for the Traffic Control and Surveillance Systems (TCSS). In advanced TCSS, it is helpful to automatically detect and classify different traffic incidents such as severity of congestion, abnormal driving pattern, abrupt or illegal stop on road, etc. Although most TCSS are equipped with basic incident detection algorithms, they are however crude to be really useful as an automated tool for further classification. In literature, there is a lack"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.04392","kind":"arxiv","version":2},"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":"2026-05-18T01:23:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lgB9/b0dJhgt+rS3CHRK6x35mQif0KEN4rSMFWRkhHd3zdUulBlN8Pm2IHaHC+iRuiCmiArInjpc5FB84P09DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T09:20:29.217257Z"},"content_sha256":"46e6809736e88aabdc401fe06d98441b520e38528bb7f6325e5158239ff13a60","schema_version":"1.0","event_id":"sha256:46e6809736e88aabdc401fe06d98441b520e38528bb7f6325e5158239ff13a60"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KKI3C3XV6MHWW6SRYLO2K52RBQ/bundle.json","state_url":"https://pith.science/pith/KKI3C3XV6MHWW6SRYLO2K52RBQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KKI3C3XV6MHWW6SRYLO2K52RBQ/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":"2026-06-11T09:20:29Z","links":{"resolver":"https://pith.science/pith/KKI3C3XV6MHWW6SRYLO2K52RBQ","bundle":"https://pith.science/pith/KKI3C3XV6MHWW6SRYLO2K52RBQ/bundle.json","state":"https://pith.science/pith/KKI3C3XV6MHWW6SRYLO2K52RBQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KKI3C3XV6MHWW6SRYLO2K52RBQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:KKI3C3XV6MHWW6SRYLO2K52RBQ","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":"8ee5b999054ca969afaf05deaae4dfa7ad01851fa6779c1d5e9797c16c67cf6e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-12-14T16:23:59Z","title_canon_sha256":"592375e1269507ed1f517bde17510aa8ab5b238c07359e35e10cd10f040e1ed4"},"schema_version":"1.0","source":{"id":"1512.04392","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.04392","created_at":"2026-05-18T01:23:44Z"},{"alias_kind":"arxiv_version","alias_value":"1512.04392v2","created_at":"2026-05-18T01:23:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.04392","created_at":"2026-05-18T01:23:44Z"},{"alias_kind":"pith_short_12","alias_value":"KKI3C3XV6MHW","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_16","alias_value":"KKI3C3XV6MHWW6SR","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_8","alias_value":"KKI3C3XV","created_at":"2026-05-18T12:29:29Z"}],"graph_snapshots":[{"event_id":"sha256:46e6809736e88aabdc401fe06d98441b520e38528bb7f6325e5158239ff13a60","target":"graph","created_at":"2026-05-18T01:23:44Z","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":"Modern cities experience heavy traffic flows and congestions regularly across space and time. Monitoring traffic situations becomes an important challenge for the Traffic Control and Surveillance Systems (TCSS). In advanced TCSS, it is helpful to automatically detect and classify different traffic incidents such as severity of congestion, abnormal driving pattern, abrupt or illegal stop on road, etc. Although most TCSS are equipped with basic incident detection algorithms, they are however crude to be really useful as an automated tool for further classification. In literature, there is a lack","authors_text":"Henry Y.T. Ngan, Li-Li Wang, Nelson H.C. Yung","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-12-14T16:23:59Z","title":"Automatic Incident Classification for Big Traffic Data by Adaptive Boosting SVM"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.04392","kind":"arxiv","version":2},"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":"sha256:117718bef7bce78b5e3300fa7a4d99bd297686b208336742dd05ab9c9f21a634","target":"record","created_at":"2026-05-18T01:23:44Z","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":"8ee5b999054ca969afaf05deaae4dfa7ad01851fa6779c1d5e9797c16c67cf6e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-12-14T16:23:59Z","title_canon_sha256":"592375e1269507ed1f517bde17510aa8ab5b238c07359e35e10cd10f040e1ed4"},"schema_version":"1.0","source":{"id":"1512.04392","kind":"arxiv","version":2}},"canonical_sha256":"5291b16ef5f30f6b7a51c2dda577510c3418ad94a0715df768286eaf45dc1410","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5291b16ef5f30f6b7a51c2dda577510c3418ad94a0715df768286eaf45dc1410","first_computed_at":"2026-05-18T01:23:44.035379Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:23:44.035379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"phAPtvxZqcUfWupIVrw8+qPNUwat7D6JxNXt2wR+uQG3JMc9RbCExWLUCgqFJ9Z+h8Hcd/dcU3xy+oilgz61Aw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:23:44.036085Z","signed_message":"canonical_sha256_bytes"},"source_id":"1512.04392","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:117718bef7bce78b5e3300fa7a4d99bd297686b208336742dd05ab9c9f21a634","sha256:46e6809736e88aabdc401fe06d98441b520e38528bb7f6325e5158239ff13a60"],"state_sha256":"bb3fb461071ded5d7e3ad8a01ff44697a01c7b6b8917391a296a57d7b5e15f9b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mxxYnzB/9GxAQuRpwho7wh7h2FoASU4RXggLASnrhv6lA/lkgyfxusndyEFiT/duttIoDg3vECKnrkS6HmLsDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T09:20:29.219268Z","bundle_sha256":"e5aa29256e078c1c54aeeaf4116940766cea7cce9f854078506cb0ec61cd47d5"}}