{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:3Q4FYQCFITIYPXZSGZ2HUGX3UY","short_pith_number":"pith:3Q4FYQCF","canonical_record":{"source":{"id":"1906.05409","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-06-12T22:26:06Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"a96c584401798a2675d9f6fec758db0ce3117d9114fe411c0fdad40f303be582","abstract_canon_sha256":"e8ab742e216bf91ea2c4fbcaa4367da8bf91f26262189941c3711f4b8bb7da1a"},"schema_version":"1.0"},"canonical_sha256":"dc385c404544d187df3236747a1afba639185080cc2d67f726fe551e90aa81aa","source":{"kind":"arxiv","id":"1906.05409","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.05409","created_at":"2026-05-17T23:43:25Z"},{"alias_kind":"arxiv_version","alias_value":"1906.05409v1","created_at":"2026-05-17T23:43:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.05409","created_at":"2026-05-17T23:43:25Z"},{"alias_kind":"pith_short_12","alias_value":"3Q4FYQCFITIY","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"3Q4FYQCFITIYPXZS","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"3Q4FYQCF","created_at":"2026-05-18T12:33:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:3Q4FYQCFITIYPXZSGZ2HUGX3UY","target":"record","payload":{"canonical_record":{"source":{"id":"1906.05409","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-06-12T22:26:06Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"a96c584401798a2675d9f6fec758db0ce3117d9114fe411c0fdad40f303be582","abstract_canon_sha256":"e8ab742e216bf91ea2c4fbcaa4367da8bf91f26262189941c3711f4b8bb7da1a"},"schema_version":"1.0"},"canonical_sha256":"dc385c404544d187df3236747a1afba639185080cc2d67f726fe551e90aa81aa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:25.391137Z","signature_b64":"9OP9vYvIJB97gMe87WvKaLC+b8lpZIMHGD6WqFvDbcNOtzocKjN8377DR8F+Yr+QGTtPmnLQ5ixnHusIxw7vBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dc385c404544d187df3236747a1afba639185080cc2d67f726fe551e90aa81aa","last_reissued_at":"2026-05-17T23:43:25.390679Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:25.390679Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.05409","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":"2026-05-17T23:43:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O0HA2HWMY8g2AvhOpqUiA6fZfQN6qw/nt/n+Zxr3dYKsaj2mdSrBwXWFV3uPEn3NQp9ZzdTw/2GZ+UR5oGriDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T22:24:20.013894Z"},"content_sha256":"9f9e61eb3256d8728448058b8698c3ce4d66c8cd1a63a374531a14b037727924","schema_version":"1.0","event_id":"sha256:9f9e61eb3256d8728448058b8698c3ce4d66c8cd1a63a374531a14b037727924"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:3Q4FYQCFITIYPXZSGZ2HUGX3UY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Countrywide Traffic Accident Dataset","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.DB","authors_text":"Mohammad Hossein Samavatian, Rajiv Ramnath, Sobhan Moosavi, Srinivasan Parthasarathy","submitted_at":"2019-06-12T22:26:06Z","abstract_excerpt":"Reducing traffic accidents is an important public safety challenge. However, the majority of studies on traffic accident analysis and prediction have used small-scale datasets with limited coverage, which limits their impact and applicability; and existing large-scale datasets are either private, old, or do not include important contextual information such as environmental stimuli (weather, points-of-interest, etc.). In order to help the research community address these shortcomings we have - through a comprehensive process of data collection, integration, and augmentation - created a large-sc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.05409","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":"2026-05-17T23:43:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6uIsytmD7z/j22+mIcoj1pQlRxzALlvbot498V7SjR3NBM9QjpQwQBS5loNcYrEa+sREJfvV778bQ5gLgkbBDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T22:24:20.014554Z"},"content_sha256":"ab84697e28682c6e3e2ab02a1e0575202c00b86f654894b136993704eb1d0178","schema_version":"1.0","event_id":"sha256:ab84697e28682c6e3e2ab02a1e0575202c00b86f654894b136993704eb1d0178"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3Q4FYQCFITIYPXZSGZ2HUGX3UY/bundle.json","state_url":"https://pith.science/pith/3Q4FYQCFITIYPXZSGZ2HUGX3UY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3Q4FYQCFITIYPXZSGZ2HUGX3UY/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":"2026-06-04T22:24:20Z","links":{"resolver":"https://pith.science/pith/3Q4FYQCFITIYPXZSGZ2HUGX3UY","bundle":"https://pith.science/pith/3Q4FYQCFITIYPXZSGZ2HUGX3UY/bundle.json","state":"https://pith.science/pith/3Q4FYQCFITIYPXZSGZ2HUGX3UY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3Q4FYQCFITIYPXZSGZ2HUGX3UY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:3Q4FYQCFITIYPXZSGZ2HUGX3UY","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":"e8ab742e216bf91ea2c4fbcaa4367da8bf91f26262189941c3711f4b8bb7da1a","cross_cats_sorted":["cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-06-12T22:26:06Z","title_canon_sha256":"a96c584401798a2675d9f6fec758db0ce3117d9114fe411c0fdad40f303be582"},"schema_version":"1.0","source":{"id":"1906.05409","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.05409","created_at":"2026-05-17T23:43:25Z"},{"alias_kind":"arxiv_version","alias_value":"1906.05409v1","created_at":"2026-05-17T23:43:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.05409","created_at":"2026-05-17T23:43:25Z"},{"alias_kind":"pith_short_12","alias_value":"3Q4FYQCFITIY","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"3Q4FYQCFITIYPXZS","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"3Q4FYQCF","created_at":"2026-05-18T12:33:07Z"}],"graph_snapshots":[{"event_id":"sha256:ab84697e28682c6e3e2ab02a1e0575202c00b86f654894b136993704eb1d0178","target":"graph","created_at":"2026-05-17T23:43:25Z","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":"Reducing traffic accidents is an important public safety challenge. However, the majority of studies on traffic accident analysis and prediction have used small-scale datasets with limited coverage, which limits their impact and applicability; and existing large-scale datasets are either private, old, or do not include important contextual information such as environmental stimuli (weather, points-of-interest, etc.). In order to help the research community address these shortcomings we have - through a comprehensive process of data collection, integration, and augmentation - created a large-sc","authors_text":"Mohammad Hossein Samavatian, Rajiv Ramnath, Sobhan Moosavi, Srinivasan Parthasarathy","cross_cats":["cs.CY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-06-12T22:26:06Z","title":"A Countrywide Traffic Accident Dataset"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.05409","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":"sha256:9f9e61eb3256d8728448058b8698c3ce4d66c8cd1a63a374531a14b037727924","target":"record","created_at":"2026-05-17T23:43:25Z","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":"e8ab742e216bf91ea2c4fbcaa4367da8bf91f26262189941c3711f4b8bb7da1a","cross_cats_sorted":["cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-06-12T22:26:06Z","title_canon_sha256":"a96c584401798a2675d9f6fec758db0ce3117d9114fe411c0fdad40f303be582"},"schema_version":"1.0","source":{"id":"1906.05409","kind":"arxiv","version":1}},"canonical_sha256":"dc385c404544d187df3236747a1afba639185080cc2d67f726fe551e90aa81aa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dc385c404544d187df3236747a1afba639185080cc2d67f726fe551e90aa81aa","first_computed_at":"2026-05-17T23:43:25.390679Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:25.390679Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9OP9vYvIJB97gMe87WvKaLC+b8lpZIMHGD6WqFvDbcNOtzocKjN8377DR8F+Yr+QGTtPmnLQ5ixnHusIxw7vBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:25.391137Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.05409","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9f9e61eb3256d8728448058b8698c3ce4d66c8cd1a63a374531a14b037727924","sha256:ab84697e28682c6e3e2ab02a1e0575202c00b86f654894b136993704eb1d0178"],"state_sha256":"a216a5b2f7abf80e24dc22024cb62bee5b4f2592fcfc9e11a20207cdda471d69"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NwkZW3z+RIB0DoeTKvFTMhXWibbgX0C1MZZYiG2zwCT77xnYW96/W5pDaoNbGzS/S+OZUoBcEqLeExJL2zgVBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T22:24:20.017915Z","bundle_sha256":"4cafb811961e0349c08c3f60e0ee2032e09689bc70a4ffe1d96a2b8bfeedadbb"}}