{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LEPSMA5OIYXNNVC2OSQKCRQA7T","short_pith_number":"pith:LEPSMA5O","canonical_record":{"source":{"id":"2506.18423","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-06-23T09:03:13Z","cross_cats_sorted":[],"title_canon_sha256":"e7c008f87f8e1d1191f9b635619f99e9e5795a79ae1bd987c9468cd0e86d6760","abstract_canon_sha256":"dad9a72189247218a027889703c1355203c1586ead5338d9022f7d151a5e5cf3"},"schema_version":"1.0"},"canonical_sha256":"591f2603ae462ed6d45a74a0a14600fcf766a46216a8444511e3588b672bda1f","source":{"kind":"arxiv","id":"2506.18423","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.18423","created_at":"2026-07-05T11:25:50Z"},{"alias_kind":"arxiv_version","alias_value":"2506.18423v1","created_at":"2026-07-05T11:25:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.18423","created_at":"2026-07-05T11:25:50Z"},{"alias_kind":"pith_short_12","alias_value":"LEPSMA5OIYXN","created_at":"2026-07-05T11:25:50Z"},{"alias_kind":"pith_short_16","alias_value":"LEPSMA5OIYXNNVC2","created_at":"2026-07-05T11:25:50Z"},{"alias_kind":"pith_short_8","alias_value":"LEPSMA5O","created_at":"2026-07-05T11:25:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LEPSMA5OIYXNNVC2OSQKCRQA7T","target":"record","payload":{"canonical_record":{"source":{"id":"2506.18423","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-06-23T09:03:13Z","cross_cats_sorted":[],"title_canon_sha256":"e7c008f87f8e1d1191f9b635619f99e9e5795a79ae1bd987c9468cd0e86d6760","abstract_canon_sha256":"dad9a72189247218a027889703c1355203c1586ead5338d9022f7d151a5e5cf3"},"schema_version":"1.0"},"canonical_sha256":"591f2603ae462ed6d45a74a0a14600fcf766a46216a8444511e3588b672bda1f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:25:50.008445Z","signature_b64":"gjymKRcLiQbxDxhX7triOZcALtRbqhSjGCvHG2uaW8gekcbMP6HGYLNmD7DX7PcLLYKVz8fRnhx98P3DpmahDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"591f2603ae462ed6d45a74a0a14600fcf766a46216a8444511e3588b672bda1f","last_reissued_at":"2026-07-05T11:25:50.007995Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:25:50.007995Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.18423","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":"2026-07-05T11:25:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QubyS8nWnHQfEzq+V1bn/tNtI1Sn12Bml8rdGAr6jmdLCmJk63m0e7wn9/0D5CfhyFQWMe7co4NV2oN8N1QGBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T10:18:43.157248Z"},"content_sha256":"d4f4418c85a68f1efb8f901280e1d2d3dcc8d35719b08f6d9d15b6a910272309","schema_version":"1.0","event_id":"sha256:d4f4418c85a68f1efb8f901280e1d2d3dcc8d35719b08f6d9d15b6a910272309"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LEPSMA5OIYXNNVC2OSQKCRQA7T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Frank Fiedrich, Lukas Halekotte, Moritz Schneider, Tina Comes","submitted_at":"2025-06-23T09:03:13Z","abstract_excerpt":"In flood disasters, decision-makers have to rapidly prioritise the areas that need assistance based on a high volume of information. While approaches that combine GIS with Bayesian networks are generally effective in integrating multiple spatial variables and can thus reduce cognitive load, existing models in the literature are not equipped to address the time pressure and information-scape that is typical in a flood. To address the lack of a model for area prioritisation in flood disaster response, we present a novel decision support system that adheres to the time and information characteris"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.18423","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/2506.18423/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":"2026-07-05T11:25:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"61uMvEL41LrgwYGN9zjlPGApcsBwliBNRsFdohoCQnvdf+cIlX+ebCWyh3EJOYzXLGnthPhEehuTl3A6+VN7Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T10:18:43.157758Z"},"content_sha256":"dcc1d08912289af70daca99275e7cc020c462a188741333477f1b004cb10702b","schema_version":"1.0","event_id":"sha256:dcc1d08912289af70daca99275e7cc020c462a188741333477f1b004cb10702b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LEPSMA5OIYXNNVC2OSQKCRQA7T/bundle.json","state_url":"https://pith.science/pith/LEPSMA5OIYXNNVC2OSQKCRQA7T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LEPSMA5OIYXNNVC2OSQKCRQA7T/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":"2026-08-11T10:18:43Z","links":{"resolver":"https://pith.science/pith/LEPSMA5OIYXNNVC2OSQKCRQA7T","bundle":"https://pith.science/pith/LEPSMA5OIYXNNVC2OSQKCRQA7T/bundle.json","state":"https://pith.science/pith/LEPSMA5OIYXNNVC2OSQKCRQA7T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LEPSMA5OIYXNNVC2OSQKCRQA7T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LEPSMA5OIYXNNVC2OSQKCRQA7T","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":"dad9a72189247218a027889703c1355203c1586ead5338d9022f7d151a5e5cf3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-06-23T09:03:13Z","title_canon_sha256":"e7c008f87f8e1d1191f9b635619f99e9e5795a79ae1bd987c9468cd0e86d6760"},"schema_version":"1.0","source":{"id":"2506.18423","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.18423","created_at":"2026-07-05T11:25:50Z"},{"alias_kind":"arxiv_version","alias_value":"2506.18423v1","created_at":"2026-07-05T11:25:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.18423","created_at":"2026-07-05T11:25:50Z"},{"alias_kind":"pith_short_12","alias_value":"LEPSMA5OIYXN","created_at":"2026-07-05T11:25:50Z"},{"alias_kind":"pith_short_16","alias_value":"LEPSMA5OIYXNNVC2","created_at":"2026-07-05T11:25:50Z"},{"alias_kind":"pith_short_8","alias_value":"LEPSMA5O","created_at":"2026-07-05T11:25:50Z"}],"graph_snapshots":[{"event_id":"sha256:dcc1d08912289af70daca99275e7cc020c462a188741333477f1b004cb10702b","target":"graph","created_at":"2026-07-05T11:25:50Z","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/2506.18423/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In flood disasters, decision-makers have to rapidly prioritise the areas that need assistance based on a high volume of information. While approaches that combine GIS with Bayesian networks are generally effective in integrating multiple spatial variables and can thus reduce cognitive load, existing models in the literature are not equipped to address the time pressure and information-scape that is typical in a flood. To address the lack of a model for area prioritisation in flood disaster response, we present a novel decision support system that adheres to the time and information characteris","authors_text":"Frank Fiedrich, Lukas Halekotte, Moritz Schneider, Tina Comes","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.18423","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:d4f4418c85a68f1efb8f901280e1d2d3dcc8d35719b08f6d9d15b6a910272309","target":"record","created_at":"2026-07-05T11:25:50Z","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":"dad9a72189247218a027889703c1355203c1586ead5338d9022f7d151a5e5cf3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-06-23T09:03:13Z","title_canon_sha256":"e7c008f87f8e1d1191f9b635619f99e9e5795a79ae1bd987c9468cd0e86d6760"},"schema_version":"1.0","source":{"id":"2506.18423","kind":"arxiv","version":1}},"canonical_sha256":"591f2603ae462ed6d45a74a0a14600fcf766a46216a8444511e3588b672bda1f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"591f2603ae462ed6d45a74a0a14600fcf766a46216a8444511e3588b672bda1f","first_computed_at":"2026-07-05T11:25:50.007995Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:25:50.007995Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gjymKRcLiQbxDxhX7triOZcALtRbqhSjGCvHG2uaW8gekcbMP6HGYLNmD7DX7PcLLYKVz8fRnhx98P3DpmahDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:25:50.008445Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.18423","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d4f4418c85a68f1efb8f901280e1d2d3dcc8d35719b08f6d9d15b6a910272309","sha256:dcc1d08912289af70daca99275e7cc020c462a188741333477f1b004cb10702b"],"state_sha256":"5cd295b8fc622e503c7cf2fd7082b5e352ced6ae9983225d31644b7dd15dc68e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pI5sqZiXliGbPTzamvUVtCTBpY6/xMQVjbaULfN9/laDbibNR2EUixQs9COWM2v2D3IGCuJEqujdX04gi9TbBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T10:18:43.163743Z","bundle_sha256":"968c516397d830c8779e901d2e9623ca0c7d5c6ab986074c37043ac7eb6227d9"}}