{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:LDBBO5V774IOXWSJZWC7Q4O4OZ","short_pith_number":"pith:LDBBO5V7","schema_version":"1.0","canonical_sha256":"58c21776bfff10ebda49cd85f871dc7647865121757331eb6a4aac83a3edf144","source":{"kind":"arxiv","id":"1312.4383","version":1},"attestation_state":"computed","paper":{"title":"Modelling Road Accident Blackspots Data with the Discrete Generalized Pareto distribution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Emilio G\\'omez-D\\'eniz, Faustino Prieto, Jos\\'e Mar\\'ia Sarabia","submitted_at":"2013-12-16T14:50:33Z","abstract_excerpt":"This study shows how road traffic networks events, in particular road accidents on blackspots, can be modelled with simple probabilistic distributions. We considered the number of accidents and the number of deaths on Spanish blackspots in the period 2003-2007, from Spanish General Directorate of Traffic (DGT). We modelled those datasets, respectively, with the discrete generalized Pareto distribution (a discrete parametric model with three parameters) and with the discrete Lomax distribution (a discrete parametric model with two parameters, and particular case of the previous model). For that"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1312.4383","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2013-12-16T14:50:33Z","cross_cats_sorted":[],"title_canon_sha256":"2e1074e750aea756acc25f5ead8b363a07463c2e80feaeb71af477fdc013a6e9","abstract_canon_sha256":"974ad6b178610f0937c2fbc9c9c974bcb1230b6fdc98ba3a45f3e550a58a53d4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:04:34.662740Z","signature_b64":"CdU/aMGrzOdbnV1qnp6B131LKDk35vhfh+RY44sZHeEsCaId12FW6cdOVJE21V5Rlo/ZTG6lHBivLIiuHoFwCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"58c21776bfff10ebda49cd85f871dc7647865121757331eb6a4aac83a3edf144","last_reissued_at":"2026-05-18T03:04:34.661902Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:04:34.661902Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Modelling Road Accident Blackspots Data with the Discrete Generalized Pareto distribution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Emilio G\\'omez-D\\'eniz, Faustino Prieto, Jos\\'e Mar\\'ia Sarabia","submitted_at":"2013-12-16T14:50:33Z","abstract_excerpt":"This study shows how road traffic networks events, in particular road accidents on blackspots, can be modelled with simple probabilistic distributions. We considered the number of accidents and the number of deaths on Spanish blackspots in the period 2003-2007, from Spanish General Directorate of Traffic (DGT). We modelled those datasets, respectively, with the discrete generalized Pareto distribution (a discrete parametric model with three parameters) and with the discrete Lomax distribution (a discrete parametric model with two parameters, and particular case of the previous model). For that"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1312.4383","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1312.4383","created_at":"2026-05-18T03:04:34.662052+00:00"},{"alias_kind":"arxiv_version","alias_value":"1312.4383v1","created_at":"2026-05-18T03:04:34.662052+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1312.4383","created_at":"2026-05-18T03:04:34.662052+00:00"},{"alias_kind":"pith_short_12","alias_value":"LDBBO5V774IO","created_at":"2026-05-18T12:27:51.066281+00:00"},{"alias_kind":"pith_short_16","alias_value":"LDBBO5V774IOXWSJ","created_at":"2026-05-18T12:27:51.066281+00:00"},{"alias_kind":"pith_short_8","alias_value":"LDBBO5V7","created_at":"2026-05-18T12:27:51.066281+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LDBBO5V774IOXWSJZWC7Q4O4OZ","json":"https://pith.science/pith/LDBBO5V774IOXWSJZWC7Q4O4OZ.json","graph_json":"https://pith.science/api/pith-number/LDBBO5V774IOXWSJZWC7Q4O4OZ/graph.json","events_json":"https://pith.science/api/pith-number/LDBBO5V774IOXWSJZWC7Q4O4OZ/events.json","paper":"https://pith.science/paper/LDBBO5V7"},"agent_actions":{"view_html":"https://pith.science/pith/LDBBO5V774IOXWSJZWC7Q4O4OZ","download_json":"https://pith.science/pith/LDBBO5V774IOXWSJZWC7Q4O4OZ.json","view_paper":"https://pith.science/paper/LDBBO5V7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1312.4383&json=true","fetch_graph":"https://pith.science/api/pith-number/LDBBO5V774IOXWSJZWC7Q4O4OZ/graph.json","fetch_events":"https://pith.science/api/pith-number/LDBBO5V774IOXWSJZWC7Q4O4OZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LDBBO5V774IOXWSJZWC7Q4O4OZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LDBBO5V774IOXWSJZWC7Q4O4OZ/action/storage_attestation","attest_author":"https://pith.science/pith/LDBBO5V774IOXWSJZWC7Q4O4OZ/action/author_attestation","sign_citation":"https://pith.science/pith/LDBBO5V774IOXWSJZWC7Q4O4OZ/action/citation_signature","submit_replication":"https://pith.science/pith/LDBBO5V774IOXWSJZWC7Q4O4OZ/action/replication_record"}},"created_at":"2026-05-18T03:04:34.662052+00:00","updated_at":"2026-05-18T03:04:34.662052+00:00"}