{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VRFFNTI6AH36XPPSAJX7I4RCQZ","short_pith_number":"pith:VRFFNTI6","canonical_record":{"source":{"id":"2503.09960","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-13T02:07:14Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6108c6ba50cc1ebb1bba15605df0897c8e0ef5f87b23c4edd8cb4d929ed636a5","abstract_canon_sha256":"94046af443a0201d91799bceb9b3690d48c6fef661b7a6b336758bfe111908a6"},"schema_version":"1.0"},"canonical_sha256":"ac4a56cd1e01f7ebbdf2026ff4722286754bbe5a4a70729b57e4033ce02c0bce","source":{"kind":"arxiv","id":"2503.09960","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.09960","created_at":"2026-07-05T10:30:35Z"},{"alias_kind":"arxiv_version","alias_value":"2503.09960v1","created_at":"2026-07-05T10:30:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.09960","created_at":"2026-07-05T10:30:35Z"},{"alias_kind":"pith_short_12","alias_value":"VRFFNTI6AH36","created_at":"2026-07-05T10:30:35Z"},{"alias_kind":"pith_short_16","alias_value":"VRFFNTI6AH36XPPS","created_at":"2026-07-05T10:30:35Z"},{"alias_kind":"pith_short_8","alias_value":"VRFFNTI6","created_at":"2026-07-05T10:30:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VRFFNTI6AH36XPPSAJX7I4RCQZ","target":"record","payload":{"canonical_record":{"source":{"id":"2503.09960","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-13T02:07:14Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6108c6ba50cc1ebb1bba15605df0897c8e0ef5f87b23c4edd8cb4d929ed636a5","abstract_canon_sha256":"94046af443a0201d91799bceb9b3690d48c6fef661b7a6b336758bfe111908a6"},"schema_version":"1.0"},"canonical_sha256":"ac4a56cd1e01f7ebbdf2026ff4722286754bbe5a4a70729b57e4033ce02c0bce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:30:35.634041Z","signature_b64":"IhxNYDR520nGW9uwTc9zKv31FYr1IEaFbWCYrkMfAPdNp1no5KcOhqutxXdYU+P5IEuLoE7JkO36GICtwuYDAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ac4a56cd1e01f7ebbdf2026ff4722286754bbe5a4a70729b57e4033ce02c0bce","last_reissued_at":"2026-07-05T10:30:35.633277Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:30:35.633277Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.09960","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":"2026-07-05T10:30:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gOxGsunnaOm7Koy+xLeMhsWcDrGTMHcgssIC1sBYhKZmUrXRsRnaevXBAVFr5gv1FXrueqe0tS/26mVS18qyDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T22:10:53.555730Z"},"content_sha256":"036710d92b3d4f36eeb6464ef5a97633eb51d4da60e85ff75ccd42baf7acb64e","schema_version":"1.0","event_id":"sha256:036710d92b3d4f36eeb6464ef5a97633eb51d4da60e85ff75ccd42baf7acb64e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VRFFNTI6AH36XPPSAJX7I4RCQZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Optimizing Fire Safety: Reducing False Alarms Using Advanced Machine Learning Techniques","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Abdulwahab Alazeb, Aizaz Ahmad Khattak, Muhammad Hassan Jamal, Muhammad Shahbaz Khan, Shahid Allah Bakhsh, Syed Aziz Shah, Wadii Boulila","submitted_at":"2025-03-13T02:07:14Z","abstract_excerpt":"Fire safety practices are important to reduce the extent of destruction caused by fire. While smoke alarms help save lives, firefighters struggle with the increasing number of false alarms. This paper presents a precise and efficient Weighted ensemble model for decreasing false alarms. It estimates the density, computes weights according to the high and low-density regions, forwards the high region weights to KNN and low region weights to XGBoost and combines the predictions. The proposed model is effective at reducing response time, increasing fire safety, and minimizing the damage that fires"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.09960","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2503.09960/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T10:30:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SuBuSVyzvf7wA8Hnt7i0L0/4eIFMA51ipo+dmAC9guuvzlNLOiD5DB+iriX4ANw6IlaHgy2DPABvxzLoLQfzCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T22:10:53.556114Z"},"content_sha256":"b895085cd10b1242c0f2b1227050142e938cd81f52a7bfeaefd243fca312cd56","schema_version":"1.0","event_id":"sha256:b895085cd10b1242c0f2b1227050142e938cd81f52a7bfeaefd243fca312cd56"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VRFFNTI6AH36XPPSAJX7I4RCQZ/bundle.json","state_url":"https://pith.science/pith/VRFFNTI6AH36XPPSAJX7I4RCQZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VRFFNTI6AH36XPPSAJX7I4RCQZ/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":"2026-08-03T22:10:53Z","links":{"resolver":"https://pith.science/pith/VRFFNTI6AH36XPPSAJX7I4RCQZ","bundle":"https://pith.science/pith/VRFFNTI6AH36XPPSAJX7I4RCQZ/bundle.json","state":"https://pith.science/pith/VRFFNTI6AH36XPPSAJX7I4RCQZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VRFFNTI6AH36XPPSAJX7I4RCQZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VRFFNTI6AH36XPPSAJX7I4RCQZ","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":"94046af443a0201d91799bceb9b3690d48c6fef661b7a6b336758bfe111908a6","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-13T02:07:14Z","title_canon_sha256":"6108c6ba50cc1ebb1bba15605df0897c8e0ef5f87b23c4edd8cb4d929ed636a5"},"schema_version":"1.0","source":{"id":"2503.09960","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.09960","created_at":"2026-07-05T10:30:35Z"},{"alias_kind":"arxiv_version","alias_value":"2503.09960v1","created_at":"2026-07-05T10:30:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.09960","created_at":"2026-07-05T10:30:35Z"},{"alias_kind":"pith_short_12","alias_value":"VRFFNTI6AH36","created_at":"2026-07-05T10:30:35Z"},{"alias_kind":"pith_short_16","alias_value":"VRFFNTI6AH36XPPS","created_at":"2026-07-05T10:30:35Z"},{"alias_kind":"pith_short_8","alias_value":"VRFFNTI6","created_at":"2026-07-05T10:30:35Z"}],"graph_snapshots":[{"event_id":"sha256:b895085cd10b1242c0f2b1227050142e938cd81f52a7bfeaefd243fca312cd56","target":"graph","created_at":"2026-07-05T10:30:35Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2503.09960/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fire safety practices are important to reduce the extent of destruction caused by fire. While smoke alarms help save lives, firefighters struggle with the increasing number of false alarms. This paper presents a precise and efficient Weighted ensemble model for decreasing false alarms. It estimates the density, computes weights according to the high and low-density regions, forwards the high region weights to KNN and low region weights to XGBoost and combines the predictions. The proposed model is effective at reducing response time, increasing fire safety, and minimizing the damage that fires","authors_text":"Abdulwahab Alazeb, Aizaz Ahmad Khattak, Muhammad Hassan Jamal, Muhammad Shahbaz Khan, Shahid Allah Bakhsh, Syed Aziz Shah, Wadii Boulila","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-13T02:07:14Z","title":"Optimizing Fire Safety: Reducing False Alarms Using Advanced Machine Learning Techniques"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.09960","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":"sha256:036710d92b3d4f36eeb6464ef5a97633eb51d4da60e85ff75ccd42baf7acb64e","target":"record","created_at":"2026-07-05T10:30:35Z","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":"94046af443a0201d91799bceb9b3690d48c6fef661b7a6b336758bfe111908a6","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-13T02:07:14Z","title_canon_sha256":"6108c6ba50cc1ebb1bba15605df0897c8e0ef5f87b23c4edd8cb4d929ed636a5"},"schema_version":"1.0","source":{"id":"2503.09960","kind":"arxiv","version":1}},"canonical_sha256":"ac4a56cd1e01f7ebbdf2026ff4722286754bbe5a4a70729b57e4033ce02c0bce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac4a56cd1e01f7ebbdf2026ff4722286754bbe5a4a70729b57e4033ce02c0bce","first_computed_at":"2026-07-05T10:30:35.633277Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:30:35.633277Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IhxNYDR520nGW9uwTc9zKv31FYr1IEaFbWCYrkMfAPdNp1no5KcOhqutxXdYU+P5IEuLoE7JkO36GICtwuYDAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:30:35.634041Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.09960","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:036710d92b3d4f36eeb6464ef5a97633eb51d4da60e85ff75ccd42baf7acb64e","sha256:b895085cd10b1242c0f2b1227050142e938cd81f52a7bfeaefd243fca312cd56"],"state_sha256":"b978a8b98c9d8c0afa88c0486104395bb9afa482d8b5ce875a46a87bfdf78919"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Krd1GAYeAATcyi1uFvFqcwVecB0EoEVEQMYJCZsUCYh7palCGD0H+9c/Yx1AND5xY3N20OOh5TY34MWhqDVEAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T22:10:53.558883Z","bundle_sha256":"549646805b62478b841cd0a0b76bfb3e063f92d30a75fbb6ab5ea33e34c53792"}}