{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:LJMQFSNEJGK7U3JJEJ3VVFIWEB","short_pith_number":"pith:LJMQFSNE","canonical_record":{"source":{"id":"1603.07463","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2016-03-24T07:59:15Z","cross_cats_sorted":["cs.CE","math.AP"],"title_canon_sha256":"23a22d751509c1c4534836ec4d7bc3c9c153069a580efe24c318f2bdd39adf15","abstract_canon_sha256":"5f09b863895f123e07193e0d5cb3e13d276663cf00a54a214c2e20d9349cc48a"},"schema_version":"1.0"},"canonical_sha256":"5a5902c9a44995fa6d2922775a9516205f71329057c930ace2054bc3b13ecf12","source":{"kind":"arxiv","id":"1603.07463","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.07463","created_at":"2026-05-18T01:18:20Z"},{"alias_kind":"arxiv_version","alias_value":"1603.07463v1","created_at":"2026-05-18T01:18:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.07463","created_at":"2026-05-18T01:18:20Z"},{"alias_kind":"pith_short_12","alias_value":"LJMQFSNEJGK7","created_at":"2026-05-18T12:30:29Z"},{"alias_kind":"pith_short_16","alias_value":"LJMQFSNEJGK7U3JJ","created_at":"2026-05-18T12:30:29Z"},{"alias_kind":"pith_short_8","alias_value":"LJMQFSNE","created_at":"2026-05-18T12:30:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:LJMQFSNEJGK7U3JJEJ3VVFIWEB","target":"record","payload":{"canonical_record":{"source":{"id":"1603.07463","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2016-03-24T07:59:15Z","cross_cats_sorted":["cs.CE","math.AP"],"title_canon_sha256":"23a22d751509c1c4534836ec4d7bc3c9c153069a580efe24c318f2bdd39adf15","abstract_canon_sha256":"5f09b863895f123e07193e0d5cb3e13d276663cf00a54a214c2e20d9349cc48a"},"schema_version":"1.0"},"canonical_sha256":"5a5902c9a44995fa6d2922775a9516205f71329057c930ace2054bc3b13ecf12","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:18:20.861299Z","signature_b64":"GwT/uic4Rwb4/Mg+2oMk17lCJjbUdhQFRYXkr1I3L3PskGLBqnVy02hNyOGhHjZzRfUOcuDv8OTc+0MVmplWAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5a5902c9a44995fa6d2922775a9516205f71329057c930ace2054bc3b13ecf12","last_reissued_at":"2026-05-18T01:18:20.860702Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:18:20.860702Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1603.07463","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":"2026-05-18T01:18:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ddp+JopBJct0A/rzST/i2J/RvQaiKQwlcoBl/Ebekd/vV303OgB2y2A0y5seeEklvEVUTo7D0WtjVQBwHUAmDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T23:30:47.250446Z"},"content_sha256":"0d0350dfed40e3816eb5bd799fae4deae22169e5c9deb1240b5580fd9c6fa11f","schema_version":"1.0","event_id":"sha256:0d0350dfed40e3816eb5bd799fae4deae22169e5c9deb1240b5580fd9c6fa11f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:LJMQFSNEJGK7U3JJEJ3VVFIWEB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Use of 3D classified topographic data with FullSWOF for high resolution simulation of a river flood event over a dense urban area","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE","math.AP"],"primary_cat":"math.NA","authors_text":"Christian Laguerre (MAPMO), Claire-Marie Duluc (IRSN), Laura Amoss\\'e, Morgan Abily (I-CiTy), Nathalie Bertrand (IRSN), Olivier Delestre (JAD), Philippe Gourbesville (I-CiTy)","submitted_at":"2016-03-24T07:59:15Z","abstract_excerpt":"High resolution (infra-metric) topographic data, including photogram-metric born 3D classified data, are becoming commonly available at large range of spatial extend, such as municipality or industrial site scale. This category of dataset is promising for high resolution (HR) Digital Surface Model (DSM) generation, allowing inclusion of fine above-ground structures which might influence overland flow hydrodynamic in urban environment. Nonetheless several categories of technical and numerical challenges arise from this type of data use with standard 2D Shallow Water Equations (SWE) based numeri"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.07463","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":"2026-05-18T01:18:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GVp5fTYkGDtk21t1c9W/+ScqVug3bHEfOOzZZocfQFMGPKgHuiepjHq4sAsh0KQTJERoOD7B8mB6u3k1F7baCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T23:30:47.251113Z"},"content_sha256":"67016f695a2195b8c2ae140d2d42f4bf255dc711b56e520754ed7a9cb21fd70f","schema_version":"1.0","event_id":"sha256:67016f695a2195b8c2ae140d2d42f4bf255dc711b56e520754ed7a9cb21fd70f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LJMQFSNEJGK7U3JJEJ3VVFIWEB/bundle.json","state_url":"https://pith.science/pith/LJMQFSNEJGK7U3JJEJ3VVFIWEB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LJMQFSNEJGK7U3JJEJ3VVFIWEB/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":"2026-05-24T23:30:47Z","links":{"resolver":"https://pith.science/pith/LJMQFSNEJGK7U3JJEJ3VVFIWEB","bundle":"https://pith.science/pith/LJMQFSNEJGK7U3JJEJ3VVFIWEB/bundle.json","state":"https://pith.science/pith/LJMQFSNEJGK7U3JJEJ3VVFIWEB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LJMQFSNEJGK7U3JJEJ3VVFIWEB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:LJMQFSNEJGK7U3JJEJ3VVFIWEB","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":"5f09b863895f123e07193e0d5cb3e13d276663cf00a54a214c2e20d9349cc48a","cross_cats_sorted":["cs.CE","math.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2016-03-24T07:59:15Z","title_canon_sha256":"23a22d751509c1c4534836ec4d7bc3c9c153069a580efe24c318f2bdd39adf15"},"schema_version":"1.0","source":{"id":"1603.07463","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.07463","created_at":"2026-05-18T01:18:20Z"},{"alias_kind":"arxiv_version","alias_value":"1603.07463v1","created_at":"2026-05-18T01:18:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.07463","created_at":"2026-05-18T01:18:20Z"},{"alias_kind":"pith_short_12","alias_value":"LJMQFSNEJGK7","created_at":"2026-05-18T12:30:29Z"},{"alias_kind":"pith_short_16","alias_value":"LJMQFSNEJGK7U3JJ","created_at":"2026-05-18T12:30:29Z"},{"alias_kind":"pith_short_8","alias_value":"LJMQFSNE","created_at":"2026-05-18T12:30:29Z"}],"graph_snapshots":[{"event_id":"sha256:67016f695a2195b8c2ae140d2d42f4bf255dc711b56e520754ed7a9cb21fd70f","target":"graph","created_at":"2026-05-18T01:18:20Z","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":"High resolution (infra-metric) topographic data, including photogram-metric born 3D classified data, are becoming commonly available at large range of spatial extend, such as municipality or industrial site scale. This category of dataset is promising for high resolution (HR) Digital Surface Model (DSM) generation, allowing inclusion of fine above-ground structures which might influence overland flow hydrodynamic in urban environment. Nonetheless several categories of technical and numerical challenges arise from this type of data use with standard 2D Shallow Water Equations (SWE) based numeri","authors_text":"Christian Laguerre (MAPMO), Claire-Marie Duluc (IRSN), Laura Amoss\\'e, Morgan Abily (I-CiTy), Nathalie Bertrand (IRSN), Olivier Delestre (JAD), Philippe Gourbesville (I-CiTy)","cross_cats":["cs.CE","math.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2016-03-24T07:59:15Z","title":"Use of 3D classified topographic data with FullSWOF for high resolution simulation of a river flood event over a dense urban area"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.07463","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":"sha256:0d0350dfed40e3816eb5bd799fae4deae22169e5c9deb1240b5580fd9c6fa11f","target":"record","created_at":"2026-05-18T01:18:20Z","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":"5f09b863895f123e07193e0d5cb3e13d276663cf00a54a214c2e20d9349cc48a","cross_cats_sorted":["cs.CE","math.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2016-03-24T07:59:15Z","title_canon_sha256":"23a22d751509c1c4534836ec4d7bc3c9c153069a580efe24c318f2bdd39adf15"},"schema_version":"1.0","source":{"id":"1603.07463","kind":"arxiv","version":1}},"canonical_sha256":"5a5902c9a44995fa6d2922775a9516205f71329057c930ace2054bc3b13ecf12","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5a5902c9a44995fa6d2922775a9516205f71329057c930ace2054bc3b13ecf12","first_computed_at":"2026-05-18T01:18:20.860702Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:18:20.860702Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GwT/uic4Rwb4/Mg+2oMk17lCJjbUdhQFRYXkr1I3L3PskGLBqnVy02hNyOGhHjZzRfUOcuDv8OTc+0MVmplWAA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:18:20.861299Z","signed_message":"canonical_sha256_bytes"},"source_id":"1603.07463","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0d0350dfed40e3816eb5bd799fae4deae22169e5c9deb1240b5580fd9c6fa11f","sha256:67016f695a2195b8c2ae140d2d42f4bf255dc711b56e520754ed7a9cb21fd70f"],"state_sha256":"9b98e78fecb5bcce2a8f887c71e5a03729476ae2cea0e6417f6f40c7dd69391f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SW4tdnxG7uPskeU6yA1AoNPA2xpWDdVxaLxyHMmILz5xcvRKErZu/AEP5w6iA+j6Aw9z9SC4xyFXQOe1xTM3Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-24T23:30:47.254756Z","bundle_sha256":"bd162d2bcd2e16ff1383d6c7b24adce5ee4b2df740da806b94d4a31ab3923fdb"}}