{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:HLQJAXQ2G3NDGCCDSGIPPPXP2H","short_pith_number":"pith:HLQJAXQ2","canonical_record":{"source":{"id":"1810.02684","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2018-09-23T18:54:29Z","cross_cats_sorted":["cs.CC","cs.LG","stat.ML"],"title_canon_sha256":"08732b8aca0ec3b192b5c5b16e9442b868db4e8886e33b05e2bfdfa18418bef7","abstract_canon_sha256":"25cc035c9bce9cb9cfb7beea7fd173f0e46a8e9de00922873457dd45ea6d4214"},"schema_version":"1.0"},"canonical_sha256":"3ae0905e1a36da3308439190f7beefd1daaffe726a9b1ce1369cb10a3ae61d21","source":{"kind":"arxiv","id":"1810.02684","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.02684","created_at":"2026-05-18T00:04:00Z"},{"alias_kind":"arxiv_version","alias_value":"1810.02684v1","created_at":"2026-05-18T00:04:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.02684","created_at":"2026-05-18T00:04:00Z"},{"alias_kind":"pith_short_12","alias_value":"HLQJAXQ2G3ND","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HLQJAXQ2G3NDGCCD","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HLQJAXQ2","created_at":"2026-05-18T12:32:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:HLQJAXQ2G3NDGCCDSGIPPPXP2H","target":"record","payload":{"canonical_record":{"source":{"id":"1810.02684","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2018-09-23T18:54:29Z","cross_cats_sorted":["cs.CC","cs.LG","stat.ML"],"title_canon_sha256":"08732b8aca0ec3b192b5c5b16e9442b868db4e8886e33b05e2bfdfa18418bef7","abstract_canon_sha256":"25cc035c9bce9cb9cfb7beea7fd173f0e46a8e9de00922873457dd45ea6d4214"},"schema_version":"1.0"},"canonical_sha256":"3ae0905e1a36da3308439190f7beefd1daaffe726a9b1ce1369cb10a3ae61d21","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:04:00.964821Z","signature_b64":"jyPTbS1tqSHPGFWCK/TdaeckKNTTfBuYgSR8O0/CyYinv9+4t+keUyvcNMk1dIBPlOS92swRVXhaF/owhKJICQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ae0905e1a36da3308439190f7beefd1daaffe726a9b1ce1369cb10a3ae61d21","last_reissued_at":"2026-05-18T00:04:00.963974Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:04:00.963974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.02684","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":"2026-05-18T00:04:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BlWc4T9/v3Xq9U5TZPMXPdQw5A3kOEo4YpapGtvgUNrE+NWergMXRxds26dTlAKgJxR4ARKdGnIGsPE7/GUhBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T04:32:05.874340Z"},"content_sha256":"cc17be74d7d08c33b2f6b88585ddcdef7522fbcf9fffe4be5107bd106c04c184","schema_version":"1.0","event_id":"sha256:cc17be74d7d08c33b2f6b88585ddcdef7522fbcf9fffe4be5107bd106c04c184"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:HLQJAXQ2G3NDGCCDSGIPPPXP2H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Modeling overland flow from local inflows in almost no-time, using Self Organizing Maps","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CC","cs.LG","stat.ML"],"primary_cat":"cs.CY","authors_text":"Joao P. Leitao, Mohamed Zaghloul, Vahid Moosavi","submitted_at":"2018-09-23T18:54:29Z","abstract_excerpt":"Physically-based overland flow models are computationally demanding, hindering their use for real-time applications. Therefore, the development of fast (and reasonably accurate) overland flow models is needed if they are to be used to support flood mitigation decision making. In this study, we investigate the potential of Self-Organizing Maps to rapidly generate water depth and flood extent results. To conduct the study, we developed a flood-simulation specific SOM, using cellular automata flood model results and a synthetic DEM and inflow hydrograph. The preliminary results showed that water "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.02684","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":"2026-05-18T00:04:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QzRbFU8APwit0yBwEE2LPZr07JD6iZ/zyHih8WCG1tEngQVk3qEOwZ+CPqetNhNCcksiFGDDpfmubH/Z5WgCBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T04:32:05.874693Z"},"content_sha256":"62a20b22ac43af0018b22f817705dcd3bb510bde48b6f67cc1f5b4b0295d2d55","schema_version":"1.0","event_id":"sha256:62a20b22ac43af0018b22f817705dcd3bb510bde48b6f67cc1f5b4b0295d2d55"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HLQJAXQ2G3NDGCCDSGIPPPXP2H/bundle.json","state_url":"https://pith.science/pith/HLQJAXQ2G3NDGCCDSGIPPPXP2H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HLQJAXQ2G3NDGCCDSGIPPPXP2H/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":"2026-07-09T04:32:05Z","links":{"resolver":"https://pith.science/pith/HLQJAXQ2G3NDGCCDSGIPPPXP2H","bundle":"https://pith.science/pith/HLQJAXQ2G3NDGCCDSGIPPPXP2H/bundle.json","state":"https://pith.science/pith/HLQJAXQ2G3NDGCCDSGIPPPXP2H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HLQJAXQ2G3NDGCCDSGIPPPXP2H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:HLQJAXQ2G3NDGCCDSGIPPPXP2H","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":"25cc035c9bce9cb9cfb7beea7fd173f0e46a8e9de00922873457dd45ea6d4214","cross_cats_sorted":["cs.CC","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2018-09-23T18:54:29Z","title_canon_sha256":"08732b8aca0ec3b192b5c5b16e9442b868db4e8886e33b05e2bfdfa18418bef7"},"schema_version":"1.0","source":{"id":"1810.02684","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.02684","created_at":"2026-05-18T00:04:00Z"},{"alias_kind":"arxiv_version","alias_value":"1810.02684v1","created_at":"2026-05-18T00:04:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.02684","created_at":"2026-05-18T00:04:00Z"},{"alias_kind":"pith_short_12","alias_value":"HLQJAXQ2G3ND","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HLQJAXQ2G3NDGCCD","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HLQJAXQ2","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:62a20b22ac43af0018b22f817705dcd3bb510bde48b6f67cc1f5b4b0295d2d55","target":"graph","created_at":"2026-05-18T00:04:00Z","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":"Physically-based overland flow models are computationally demanding, hindering their use for real-time applications. Therefore, the development of fast (and reasonably accurate) overland flow models is needed if they are to be used to support flood mitigation decision making. In this study, we investigate the potential of Self-Organizing Maps to rapidly generate water depth and flood extent results. To conduct the study, we developed a flood-simulation specific SOM, using cellular automata flood model results and a synthetic DEM and inflow hydrograph. The preliminary results showed that water ","authors_text":"Joao P. Leitao, Mohamed Zaghloul, Vahid Moosavi","cross_cats":["cs.CC","cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2018-09-23T18:54:29Z","title":"Modeling overland flow from local inflows in almost no-time, using Self Organizing Maps"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.02684","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:cc17be74d7d08c33b2f6b88585ddcdef7522fbcf9fffe4be5107bd106c04c184","target":"record","created_at":"2026-05-18T00:04:00Z","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":"25cc035c9bce9cb9cfb7beea7fd173f0e46a8e9de00922873457dd45ea6d4214","cross_cats_sorted":["cs.CC","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2018-09-23T18:54:29Z","title_canon_sha256":"08732b8aca0ec3b192b5c5b16e9442b868db4e8886e33b05e2bfdfa18418bef7"},"schema_version":"1.0","source":{"id":"1810.02684","kind":"arxiv","version":1}},"canonical_sha256":"3ae0905e1a36da3308439190f7beefd1daaffe726a9b1ce1369cb10a3ae61d21","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ae0905e1a36da3308439190f7beefd1daaffe726a9b1ce1369cb10a3ae61d21","first_computed_at":"2026-05-18T00:04:00.963974Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:04:00.963974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jyPTbS1tqSHPGFWCK/TdaeckKNTTfBuYgSR8O0/CyYinv9+4t+keUyvcNMk1dIBPlOS92swRVXhaF/owhKJICQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:04:00.964821Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.02684","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cc17be74d7d08c33b2f6b88585ddcdef7522fbcf9fffe4be5107bd106c04c184","sha256:62a20b22ac43af0018b22f817705dcd3bb510bde48b6f67cc1f5b4b0295d2d55"],"state_sha256":"56da5d8ce77f25079aa8f1b340719b3cddd2c789358efc1b61476a9311772122"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+pkfDoJ0gko0h99KbqZ5XMtwiYs6y3gPyNEO5n4cp7OcPYnqs+lIN6YqDJd7H33j13eT7gGTjEjUAAzMpSORAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T04:32:05.876840Z","bundle_sha256":"3a870b16b9d99ffa13ff5e681ed070a5ce4b57b8764744d523e0f1502d77e07a"}}