{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:NPDRQUT4ELTNC6QIMTX2VMQREH","short_pith_number":"pith:NPDRQUT4","schema_version":"1.0","canonical_sha256":"6bc718527c22e6d17a0864efaab21121c39e4c583602574d0243e24eb1679ef7","source":{"kind":"arxiv","id":"1207.6514","version":1},"attestation_state":"computed","paper":{"title":"Earthquake Scenario Reduction by Symmetry Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Steven Prestwich","submitted_at":"2012-07-27T11:14:23Z","abstract_excerpt":"A recently identified problem is that of finding an optimal investment plan for a transportation network, given that a disaster such as an earthquake may destroy links in the network. The aim is to strengthen key links to preserve the expected network connectivity. A network based on the Istanbul highway system has thirty links and therefore a billion scenarios, but it has been estimated that sampling a million scenarios gives reasonable accuracy. In this paper we use symmetry reasoning to reduce the number of scenarios to a much smaller number, making sampling unnecessary. This result can be "},"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":"1207.6514","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-07-27T11:14:23Z","cross_cats_sorted":[],"title_canon_sha256":"791127b0137a0a0d4771482e743abcc7b0a8134825f07822de51572056262117","abstract_canon_sha256":"38fd0f12acf54e6c88df8179b023e4bd46b41a24596adc26f16ce2d418a61022"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:49:59.132289Z","signature_b64":"rSpdErAzHMKXEFphFtCV5+w+fVTU8DL/SU8ZekIB2TXLLjjM6j3Nlw6iSGPzwV3WtUI/ohM6zwSn9pfzjqdtBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6bc718527c22e6d17a0864efaab21121c39e4c583602574d0243e24eb1679ef7","last_reissued_at":"2026-05-18T03:49:59.131730Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:49:59.131730Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Earthquake Scenario Reduction by Symmetry Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Steven Prestwich","submitted_at":"2012-07-27T11:14:23Z","abstract_excerpt":"A recently identified problem is that of finding an optimal investment plan for a transportation network, given that a disaster such as an earthquake may destroy links in the network. The aim is to strengthen key links to preserve the expected network connectivity. A network based on the Istanbul highway system has thirty links and therefore a billion scenarios, but it has been estimated that sampling a million scenarios gives reasonable accuracy. In this paper we use symmetry reasoning to reduce the number of scenarios to a much smaller number, making sampling unnecessary. This result can be "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1207.6514","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":"1207.6514","created_at":"2026-05-18T03:49:59.131827+00:00"},{"alias_kind":"arxiv_version","alias_value":"1207.6514v1","created_at":"2026-05-18T03:49:59.131827+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1207.6514","created_at":"2026-05-18T03:49:59.131827+00:00"},{"alias_kind":"pith_short_12","alias_value":"NPDRQUT4ELTN","created_at":"2026-05-18T12:27:16.716162+00:00"},{"alias_kind":"pith_short_16","alias_value":"NPDRQUT4ELTNC6QI","created_at":"2026-05-18T12:27:16.716162+00:00"},{"alias_kind":"pith_short_8","alias_value":"NPDRQUT4","created_at":"2026-05-18T12:27:16.716162+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/NPDRQUT4ELTNC6QIMTX2VMQREH","json":"https://pith.science/pith/NPDRQUT4ELTNC6QIMTX2VMQREH.json","graph_json":"https://pith.science/api/pith-number/NPDRQUT4ELTNC6QIMTX2VMQREH/graph.json","events_json":"https://pith.science/api/pith-number/NPDRQUT4ELTNC6QIMTX2VMQREH/events.json","paper":"https://pith.science/paper/NPDRQUT4"},"agent_actions":{"view_html":"https://pith.science/pith/NPDRQUT4ELTNC6QIMTX2VMQREH","download_json":"https://pith.science/pith/NPDRQUT4ELTNC6QIMTX2VMQREH.json","view_paper":"https://pith.science/paper/NPDRQUT4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1207.6514&json=true","fetch_graph":"https://pith.science/api/pith-number/NPDRQUT4ELTNC6QIMTX2VMQREH/graph.json","fetch_events":"https://pith.science/api/pith-number/NPDRQUT4ELTNC6QIMTX2VMQREH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NPDRQUT4ELTNC6QIMTX2VMQREH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NPDRQUT4ELTNC6QIMTX2VMQREH/action/storage_attestation","attest_author":"https://pith.science/pith/NPDRQUT4ELTNC6QIMTX2VMQREH/action/author_attestation","sign_citation":"https://pith.science/pith/NPDRQUT4ELTNC6QIMTX2VMQREH/action/citation_signature","submit_replication":"https://pith.science/pith/NPDRQUT4ELTNC6QIMTX2VMQREH/action/replication_record"}},"created_at":"2026-05-18T03:49:59.131827+00:00","updated_at":"2026-05-18T03:49:59.131827+00:00"}