{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:GQDQESELOBMFYPOBNBF7ACZVKX","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":"1996053db1e3f7198fca7223fc5ab7f9d1cdc23566123dc70684bef671d0b87a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-08T11:49:30Z","title_canon_sha256":"ceb5b34ad52d2e85be22d538637a015b7412c76f9481ca3574fe8daa44491e6a"},"schema_version":"1.0","source":{"id":"1804.02675","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.02675","created_at":"2026-05-18T00:18:58Z"},{"alias_kind":"arxiv_version","alias_value":"1804.02675v1","created_at":"2026-05-18T00:18:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.02675","created_at":"2026-05-18T00:18:58Z"},{"alias_kind":"pith_short_12","alias_value":"GQDQESELOBMF","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_16","alias_value":"GQDQESELOBMFYPOB","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_8","alias_value":"GQDQESEL","created_at":"2026-05-18T12:32:25Z"}],"graph_snapshots":[{"event_id":"sha256:f96f11d7ef4563a9ea3030187233c718fce2f29b59c2093bac8eea193297f661","target":"graph","created_at":"2026-05-18T00:18:58Z","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":"In this paper, we propose a novel approach for traffic accident anticipation through (i) Adaptive Loss for Early Anticipation (AdaLEA) and (ii) a large-scale self-annotated incident database for anticipation. The proposed AdaLEA allows a model to gradually learn an earlier anticipation as training progresses. The loss function adaptively assigns penalty weights depending on how early the model can an- ticipate a traffic accident at each epoch. Additionally, we construct a Near-miss Incident DataBase for anticipation. This database contains an enormous number of traffic near- miss incident vide","authors_text":"Hirokatsu Kataoka, Tomoyuki Suzuki, Yoshimitsu Aoki, Yutaka Satoh","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-08T11:49:30Z","title":"Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.02675","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":"sha256:5400b2ebe07638c380ce1fd979104d617626e7dc020a7bfe02ca35b31157471b","target":"record","created_at":"2026-05-18T00:18:58Z","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":"1996053db1e3f7198fca7223fc5ab7f9d1cdc23566123dc70684bef671d0b87a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-08T11:49:30Z","title_canon_sha256":"ceb5b34ad52d2e85be22d538637a015b7412c76f9481ca3574fe8daa44491e6a"},"schema_version":"1.0","source":{"id":"1804.02675","kind":"arxiv","version":1}},"canonical_sha256":"340702488b70585c3dc1684bf00b3555f7ad9fdb0b05d2f09d8359cc23d3e3e4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"340702488b70585c3dc1684bf00b3555f7ad9fdb0b05d2f09d8359cc23d3e3e4","first_computed_at":"2026-05-18T00:18:58.734197Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:18:58.734197Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vHYSJbLE4n3fFn6UNfx1ZZprAkzCkAzyfcbQm4pvk6sDErUGSIysp7/SCD/fuqbrbfSZJeg9DMc8wGc1OG72Cg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:18:58.734664Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.02675","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5400b2ebe07638c380ce1fd979104d617626e7dc020a7bfe02ca35b31157471b","sha256:f96f11d7ef4563a9ea3030187233c718fce2f29b59c2093bac8eea193297f661"],"state_sha256":"3f040182550455c4c14665e07a22af0536c34a7606a3653263754f55d12fd426"}