{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:BZUCKVWU25UZHLW7J26FS4VB4S","short_pith_number":"pith:BZUCKVWU","canonical_record":{"source":{"id":"1602.09067","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2016-02-29T17:48:41Z","cross_cats_sorted":[],"title_canon_sha256":"2523b9a2f52ac42f76da5b1e99fcc56587c6e472df2e4d8162134f29b84ac9e8","abstract_canon_sha256":"1f8e9d1f1b06eb335262ff21ba32d20745268773e4abd5ddc2b41632a23bdd75"},"schema_version":"1.0"},"canonical_sha256":"0e682556d4d76993aedf4ebc5972a1e4b17e1311ba40c30dc1e5cb9e93e45e30","source":{"kind":"arxiv","id":"1602.09067","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.09067","created_at":"2026-05-18T01:19:51Z"},{"alias_kind":"arxiv_version","alias_value":"1602.09067v1","created_at":"2026-05-18T01:19:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.09067","created_at":"2026-05-18T01:19:51Z"},{"alias_kind":"pith_short_12","alias_value":"BZUCKVWU25UZ","created_at":"2026-05-18T12:30:09Z"},{"alias_kind":"pith_short_16","alias_value":"BZUCKVWU25UZHLW7","created_at":"2026-05-18T12:30:09Z"},{"alias_kind":"pith_short_8","alias_value":"BZUCKVWU","created_at":"2026-05-18T12:30:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:BZUCKVWU25UZHLW7J26FS4VB4S","target":"record","payload":{"canonical_record":{"source":{"id":"1602.09067","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2016-02-29T17:48:41Z","cross_cats_sorted":[],"title_canon_sha256":"2523b9a2f52ac42f76da5b1e99fcc56587c6e472df2e4d8162134f29b84ac9e8","abstract_canon_sha256":"1f8e9d1f1b06eb335262ff21ba32d20745268773e4abd5ddc2b41632a23bdd75"},"schema_version":"1.0"},"canonical_sha256":"0e682556d4d76993aedf4ebc5972a1e4b17e1311ba40c30dc1e5cb9e93e45e30","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:19:51.392887Z","signature_b64":"fFchMvV74GkYrkJby40YnGoEtg1HbsVzZlDKhh7zKJRrin95hEWW6Gwv4WPklToxspW7isIyllg5QhzBgt5NAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0e682556d4d76993aedf4ebc5972a1e4b17e1311ba40c30dc1e5cb9e93e45e30","last_reissued_at":"2026-05-18T01:19:51.392447Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:19:51.392447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1602.09067","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":"2026-05-18T01:19:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xuHjpphvVkpFYXgMn4V1mWu5mEpLVhqhDI63ypvi91sKEukAH1Y4jPdyoS/h5wPlJoxkOyfgtJuRBbqmAFXyAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T11:13:25.130823Z"},"content_sha256":"7c3e934c0cfffc89c79eeed3e4ef85541fc6865750599167e4484f6dd9952a8d","schema_version":"1.0","event_id":"sha256:7c3e934c0cfffc89c79eeed3e4ef85541fc6865750599167e4484f6dd9952a8d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:BZUCKVWU25UZHLW7J26FS4VB4S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Bistra Dilkina, Duen Horng Chau, Matthew Hinds-Aldrich, Michael Madaio, Oliver L. Haimson, Shang-Tse Chen, Wenwen Zhang, Xiang Cheng","submitted_at":"2016-02-29T17:48:41Z","abstract_excerpt":"The Atlanta Fire Rescue Department (AFRD), like many municipal fire departments, actively works to reduce fire risk by inspecting commercial properties for potential hazards and fire code violations. However, AFRD's fire inspection practices relied on tradition and intuition, with no existing data-driven process for prioritizing fire inspections or identifying new properties requiring inspection. In collaboration with AFRD, we developed the Firebird framework to help municipal fire departments identify and prioritize commercial property fire inspections, using machine learning, geocoding, and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.09067","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":"2026-05-18T01:19:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0bYrL7PxhuxYkBCB5evtX6LxS2L5lB0qtcjP1qczsvQDqrUQ1sE47g7baji4FqeC6UuU5UpcKcqTdtWvirBhCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T11:13:25.131438Z"},"content_sha256":"19036c1a7f437b16d200db5b17a33d7dfb296cca1320ef4db87e9f1680d48fe1","schema_version":"1.0","event_id":"sha256:19036c1a7f437b16d200db5b17a33d7dfb296cca1320ef4db87e9f1680d48fe1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BZUCKVWU25UZHLW7J26FS4VB4S/bundle.json","state_url":"https://pith.science/pith/BZUCKVWU25UZHLW7J26FS4VB4S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BZUCKVWU25UZHLW7J26FS4VB4S/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":"2026-05-26T11:13:25Z","links":{"resolver":"https://pith.science/pith/BZUCKVWU25UZHLW7J26FS4VB4S","bundle":"https://pith.science/pith/BZUCKVWU25UZHLW7J26FS4VB4S/bundle.json","state":"https://pith.science/pith/BZUCKVWU25UZHLW7J26FS4VB4S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BZUCKVWU25UZHLW7J26FS4VB4S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:BZUCKVWU25UZHLW7J26FS4VB4S","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":"1f8e9d1f1b06eb335262ff21ba32d20745268773e4abd5ddc2b41632a23bdd75","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2016-02-29T17:48:41Z","title_canon_sha256":"2523b9a2f52ac42f76da5b1e99fcc56587c6e472df2e4d8162134f29b84ac9e8"},"schema_version":"1.0","source":{"id":"1602.09067","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.09067","created_at":"2026-05-18T01:19:51Z"},{"alias_kind":"arxiv_version","alias_value":"1602.09067v1","created_at":"2026-05-18T01:19:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.09067","created_at":"2026-05-18T01:19:51Z"},{"alias_kind":"pith_short_12","alias_value":"BZUCKVWU25UZ","created_at":"2026-05-18T12:30:09Z"},{"alias_kind":"pith_short_16","alias_value":"BZUCKVWU25UZHLW7","created_at":"2026-05-18T12:30:09Z"},{"alias_kind":"pith_short_8","alias_value":"BZUCKVWU","created_at":"2026-05-18T12:30:09Z"}],"graph_snapshots":[{"event_id":"sha256:19036c1a7f437b16d200db5b17a33d7dfb296cca1320ef4db87e9f1680d48fe1","target":"graph","created_at":"2026-05-18T01:19:51Z","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":"The Atlanta Fire Rescue Department (AFRD), like many municipal fire departments, actively works to reduce fire risk by inspecting commercial properties for potential hazards and fire code violations. However, AFRD's fire inspection practices relied on tradition and intuition, with no existing data-driven process for prioritizing fire inspections or identifying new properties requiring inspection. In collaboration with AFRD, we developed the Firebird framework to help municipal fire departments identify and prioritize commercial property fire inspections, using machine learning, geocoding, and ","authors_text":"Bistra Dilkina, Duen Horng Chau, Matthew Hinds-Aldrich, Michael Madaio, Oliver L. Haimson, Shang-Tse Chen, Wenwen Zhang, Xiang Cheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2016-02-29T17:48:41Z","title":"Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.09067","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":"sha256:7c3e934c0cfffc89c79eeed3e4ef85541fc6865750599167e4484f6dd9952a8d","target":"record","created_at":"2026-05-18T01:19:51Z","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":"1f8e9d1f1b06eb335262ff21ba32d20745268773e4abd5ddc2b41632a23bdd75","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2016-02-29T17:48:41Z","title_canon_sha256":"2523b9a2f52ac42f76da5b1e99fcc56587c6e472df2e4d8162134f29b84ac9e8"},"schema_version":"1.0","source":{"id":"1602.09067","kind":"arxiv","version":1}},"canonical_sha256":"0e682556d4d76993aedf4ebc5972a1e4b17e1311ba40c30dc1e5cb9e93e45e30","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e682556d4d76993aedf4ebc5972a1e4b17e1311ba40c30dc1e5cb9e93e45e30","first_computed_at":"2026-05-18T01:19:51.392447Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:19:51.392447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fFchMvV74GkYrkJby40YnGoEtg1HbsVzZlDKhh7zKJRrin95hEWW6Gwv4WPklToxspW7isIyllg5QhzBgt5NAg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:19:51.392887Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.09067","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7c3e934c0cfffc89c79eeed3e4ef85541fc6865750599167e4484f6dd9952a8d","sha256:19036c1a7f437b16d200db5b17a33d7dfb296cca1320ef4db87e9f1680d48fe1"],"state_sha256":"a8278b4cf3dda7ffae008ea356496f9b55073cd804e4307b1973fe866ee22d51"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kYqvJiEV3bUXx48Lb8V7D6wte4x0sPDE/8gP5nnIS5nP3gksPJ/I839XGacHuVjwgZaOnVuBPo1ZvupP2BYnDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T11:13:25.134612Z","bundle_sha256":"1f63f692d513eaa18d0d0d05080d80dc73306e7ee0c5c114ce1428356a168ac5"}}