{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:KVT4ACBQ5K74LU5PXSDOQBUA67","short_pith_number":"pith:KVT4ACBQ","canonical_record":{"source":{"id":"1901.06798","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2019-01-21T06:01:10Z","cross_cats_sorted":["cs.CE","physics.ao-ph","physics.geo-ph"],"title_canon_sha256":"06e7790eb574fefd396d597a858b871a6a4670e70c34530b404dd5ef32a2cb19","abstract_canon_sha256":"11d3c64cc1ad8bedc6444d7ac7de14d2b9c664636be758f73ec8885ac150f31d"},"schema_version":"1.0"},"canonical_sha256":"5567c00830eabfc5d3afbc86e80680f7dc209d1eb8dcde8baeacdbb3112c0d4f","source":{"kind":"arxiv","id":"1901.06798","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.06798","created_at":"2026-05-17T23:55:49Z"},{"alias_kind":"arxiv_version","alias_value":"1901.06798v1","created_at":"2026-05-17T23:55:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.06798","created_at":"2026-05-17T23:55:49Z"},{"alias_kind":"pith_short_12","alias_value":"KVT4ACBQ5K74","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"KVT4ACBQ5K74LU5P","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"KVT4ACBQ","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:KVT4ACBQ5K74LU5PXSDOQBUA67","target":"record","payload":{"canonical_record":{"source":{"id":"1901.06798","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2019-01-21T06:01:10Z","cross_cats_sorted":["cs.CE","physics.ao-ph","physics.geo-ph"],"title_canon_sha256":"06e7790eb574fefd396d597a858b871a6a4670e70c34530b404dd5ef32a2cb19","abstract_canon_sha256":"11d3c64cc1ad8bedc6444d7ac7de14d2b9c664636be758f73ec8885ac150f31d"},"schema_version":"1.0"},"canonical_sha256":"5567c00830eabfc5d3afbc86e80680f7dc209d1eb8dcde8baeacdbb3112c0d4f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:55:49.118995Z","signature_b64":"ovlJIxhFx5D2bJsGI1twlCk/wBnmLZV3NVYou+QZfTYO3gUAwWJbtmNu3OLWFfFwiQ2bryy5dTs4IOG5GaSWBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5567c00830eabfc5d3afbc86e80680f7dc209d1eb8dcde8baeacdbb3112c0d4f","last_reissued_at":"2026-05-17T23:55:49.118256Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:55:49.118256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1901.06798","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":"2026-05-17T23:55:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l8r7CgF6oDd0urq0u+DD8L8eyeG5cxcXNqr/eS/xUXOnc8FFt5Q+LjUGolxt9e/Wv1EHWRpC1Y9IedWxgCPRAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T09:22:31.523676Z"},"content_sha256":"fd3695782c0b52e24ed3edf1386b3d8a3a4bb7ea4fdb744b9c9171f6b5a75f30","schema_version":"1.0","event_id":"sha256:fd3695782c0b52e24ed3edf1386b3d8a3a4bb7ea4fdb744b9c9171f6b5a75f30"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:KVT4ACBQ5K74LU5PXSDOQBUA67","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient Tsunami Modeling on Adaptive Grids with Graphics Processing Units (GPUs)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE","physics.ao-ph","physics.geo-ph"],"primary_cat":"physics.comp-ph","authors_text":"Michael Motley, Randall LeVeque, Xinsheng Qin","submitted_at":"2019-01-21T06:01:10Z","abstract_excerpt":"Solving the shallow water equations efficiently is critical to the study of natural hazards induced by tsunami and storm surge, since it provides more response time in an early warning system and allows more runs to be done for probabilistic assessment where thousands of runs may be required. Using Adaptive Mesh Refinement (AMR) speeds up the process by greatly reducing computational demands, while accelerating the code using the Graphics Processing Unit (GPU) does so through using faster hardware. Combining both, we present an efficient CUDA implementation of GeoClaw, an open source Godunov-t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.06798","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":"2026-05-17T23:55:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"56hjXL5AYwg/K+Rl713z+qPd3vWl5LgwTs5MdXKvv9STL/m5BSFTQ6MYHQUbw+cDF2Roy3CpvahRvF6V+J5ICA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T09:22:31.524030Z"},"content_sha256":"c77f6f796269973bca88e539e69424e86fcafd1fc1072f697940c8ef23632507","schema_version":"1.0","event_id":"sha256:c77f6f796269973bca88e539e69424e86fcafd1fc1072f697940c8ef23632507"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KVT4ACBQ5K74LU5PXSDOQBUA67/bundle.json","state_url":"https://pith.science/pith/KVT4ACBQ5K74LU5PXSDOQBUA67/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KVT4ACBQ5K74LU5PXSDOQBUA67/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":"2026-07-02T09:22:31Z","links":{"resolver":"https://pith.science/pith/KVT4ACBQ5K74LU5PXSDOQBUA67","bundle":"https://pith.science/pith/KVT4ACBQ5K74LU5PXSDOQBUA67/bundle.json","state":"https://pith.science/pith/KVT4ACBQ5K74LU5PXSDOQBUA67/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KVT4ACBQ5K74LU5PXSDOQBUA67/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:KVT4ACBQ5K74LU5PXSDOQBUA67","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":"11d3c64cc1ad8bedc6444d7ac7de14d2b9c664636be758f73ec8885ac150f31d","cross_cats_sorted":["cs.CE","physics.ao-ph","physics.geo-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2019-01-21T06:01:10Z","title_canon_sha256":"06e7790eb574fefd396d597a858b871a6a4670e70c34530b404dd5ef32a2cb19"},"schema_version":"1.0","source":{"id":"1901.06798","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.06798","created_at":"2026-05-17T23:55:49Z"},{"alias_kind":"arxiv_version","alias_value":"1901.06798v1","created_at":"2026-05-17T23:55:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.06798","created_at":"2026-05-17T23:55:49Z"},{"alias_kind":"pith_short_12","alias_value":"KVT4ACBQ5K74","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"KVT4ACBQ5K74LU5P","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"KVT4ACBQ","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:c77f6f796269973bca88e539e69424e86fcafd1fc1072f697940c8ef23632507","target":"graph","created_at":"2026-05-17T23:55:49Z","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":"Solving the shallow water equations efficiently is critical to the study of natural hazards induced by tsunami and storm surge, since it provides more response time in an early warning system and allows more runs to be done for probabilistic assessment where thousands of runs may be required. Using Adaptive Mesh Refinement (AMR) speeds up the process by greatly reducing computational demands, while accelerating the code using the Graphics Processing Unit (GPU) does so through using faster hardware. Combining both, we present an efficient CUDA implementation of GeoClaw, an open source Godunov-t","authors_text":"Michael Motley, Randall LeVeque, Xinsheng Qin","cross_cats":["cs.CE","physics.ao-ph","physics.geo-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2019-01-21T06:01:10Z","title":"Efficient Tsunami Modeling on Adaptive Grids with Graphics Processing Units (GPUs)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.06798","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:fd3695782c0b52e24ed3edf1386b3d8a3a4bb7ea4fdb744b9c9171f6b5a75f30","target":"record","created_at":"2026-05-17T23:55:49Z","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":"11d3c64cc1ad8bedc6444d7ac7de14d2b9c664636be758f73ec8885ac150f31d","cross_cats_sorted":["cs.CE","physics.ao-ph","physics.geo-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2019-01-21T06:01:10Z","title_canon_sha256":"06e7790eb574fefd396d597a858b871a6a4670e70c34530b404dd5ef32a2cb19"},"schema_version":"1.0","source":{"id":"1901.06798","kind":"arxiv","version":1}},"canonical_sha256":"5567c00830eabfc5d3afbc86e80680f7dc209d1eb8dcde8baeacdbb3112c0d4f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5567c00830eabfc5d3afbc86e80680f7dc209d1eb8dcde8baeacdbb3112c0d4f","first_computed_at":"2026-05-17T23:55:49.118256Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:55:49.118256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ovlJIxhFx5D2bJsGI1twlCk/wBnmLZV3NVYou+QZfTYO3gUAwWJbtmNu3OLWFfFwiQ2bryy5dTs4IOG5GaSWBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:55:49.118995Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.06798","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd3695782c0b52e24ed3edf1386b3d8a3a4bb7ea4fdb744b9c9171f6b5a75f30","sha256:c77f6f796269973bca88e539e69424e86fcafd1fc1072f697940c8ef23632507"],"state_sha256":"b1bc7f929dde10562a02c08a0cc2112e49cb45b43d88fd389c14af6ee4c9c1e3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XmpqeDpaVVmQT3wAZEAImuoN125hez4DSq5LYeYuf886ibP0+xa8FgmvPPwvHqyaHUlmeyd8ISu7bmEkDbM8CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T09:22:31.525940Z","bundle_sha256":"20ab05f33f11bd966ea64c8c3af751b617963e4621c18370e51c6d27c1f2438f"}}