{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:S7DZQEZVFEB4PDUUM5YRS7AY5N","short_pith_number":"pith:S7DZQEZV","canonical_record":{"source":{"id":"1908.10403","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2019-08-27T18:37:27Z","cross_cats_sorted":["cs.NA"],"title_canon_sha256":"1b3db74bc2063e8fc56d984ef9ccbea60e2bce6c23e354795ca632d5e6f392cb","abstract_canon_sha256":"8578cf8ea506825bfd98b84ff9ccaad266468165ac2e65fba621735848810d92"},"schema_version":"1.0"},"canonical_sha256":"97c79813352903c78e946771197c18eb7de3c54e11fa5432e47819e4875b1a2c","source":{"kind":"arxiv","id":"1908.10403","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.10403","created_at":"2026-07-05T00:00:28Z"},{"alias_kind":"arxiv_version","alias_value":"1908.10403v2","created_at":"2026-07-05T00:00:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.10403","created_at":"2026-07-05T00:00:28Z"},{"alias_kind":"pith_short_12","alias_value":"S7DZQEZVFEB4","created_at":"2026-07-05T00:00:28Z"},{"alias_kind":"pith_short_16","alias_value":"S7DZQEZVFEB4PDUU","created_at":"2026-07-05T00:00:28Z"},{"alias_kind":"pith_short_8","alias_value":"S7DZQEZV","created_at":"2026-07-05T00:00:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:S7DZQEZVFEB4PDUUM5YRS7AY5N","target":"record","payload":{"canonical_record":{"source":{"id":"1908.10403","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2019-08-27T18:37:27Z","cross_cats_sorted":["cs.NA"],"title_canon_sha256":"1b3db74bc2063e8fc56d984ef9ccbea60e2bce6c23e354795ca632d5e6f392cb","abstract_canon_sha256":"8578cf8ea506825bfd98b84ff9ccaad266468165ac2e65fba621735848810d92"},"schema_version":"1.0"},"canonical_sha256":"97c79813352903c78e946771197c18eb7de3c54e11fa5432e47819e4875b1a2c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:00:28.142169Z","signature_b64":"Jq60HtPZbDDXpHKGKIOj3i14KRLhgvXJ2FRWgg7G1Kg/6vmb07T6rtOvGVOHkics2N1obD6TUr7/ksh/ff1kCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"97c79813352903c78e946771197c18eb7de3c54e11fa5432e47819e4875b1a2c","last_reissued_at":"2026-07-05T00:00:28.141824Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:00:28.141824Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.10403","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:00:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EwBV2EcppD85EtyTfnCijPavHKYWKDBIoH/fdDM6Ub9weOehU1pGjPDFHCg6zXxw8yY0Z+iz7U0lp4uW8SlMBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T06:57:26.696035Z"},"content_sha256":"7e5bbc0240e5ad95e03e7ea7ccdac60227e41d92008e55fe1a2f7f8f5011811a","schema_version":"1.0","event_id":"sha256:7e5bbc0240e5ad95e03e7ea7ccdac60227e41d92008e55fe1a2f7f8f5011811a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:S7DZQEZVFEB4PDUUM5YRS7AY5N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Centroidal Voronoi Tessellation Based Methods for Optimal Rain Gauge Location Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NA"],"primary_cat":"math.NA","authors_text":"Maria Emelianenko, Marilyn Vazquez, Paul Houser, Viviana Maggioni, Yiwen Mei, Zichao Wendy Di","submitted_at":"2019-08-27T18:37:27Z","abstract_excerpt":"With more satellite and model precipitation data becoming available, new analytical methods are needed that can take advantage of emerging data patterns to make well informed predictions in many hydrological applications. We propose a new strategy where we extract precipitation variability patterns and use correlation map to build the resulting density map that serves as an input to centroidal Voronoi tessellation construction that optimizes placement of precipitation gauges. We provide results of numerical experiments based on the data from the Alto-Adige region in Northern Italy and Oklahoma"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.10403","kind":"arxiv","version":2},"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/1908.10403/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":"2026-07-05T00:00:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EQsrBiRLMtIcCh166PgHtFGZS/ArIYMJfSkugeWKOcIwp3aXcLXze7EC0w6RqHNnnHNRV0NVBVogIROTGYqmBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T06:57:26.696723Z"},"content_sha256":"18e6393b1f77628e2a3d79a1af26f72b858f34e8ec0549aa121605f77b5d31ac","schema_version":"1.0","event_id":"sha256:18e6393b1f77628e2a3d79a1af26f72b858f34e8ec0549aa121605f77b5d31ac"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S7DZQEZVFEB4PDUUM5YRS7AY5N/bundle.json","state_url":"https://pith.science/pith/S7DZQEZVFEB4PDUUM5YRS7AY5N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S7DZQEZVFEB4PDUUM5YRS7AY5N/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":"2026-08-18T06:57:26Z","links":{"resolver":"https://pith.science/pith/S7DZQEZVFEB4PDUUM5YRS7AY5N","bundle":"https://pith.science/pith/S7DZQEZVFEB4PDUUM5YRS7AY5N/bundle.json","state":"https://pith.science/pith/S7DZQEZVFEB4PDUUM5YRS7AY5N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S7DZQEZVFEB4PDUUM5YRS7AY5N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:S7DZQEZVFEB4PDUUM5YRS7AY5N","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":"8578cf8ea506825bfd98b84ff9ccaad266468165ac2e65fba621735848810d92","cross_cats_sorted":["cs.NA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2019-08-27T18:37:27Z","title_canon_sha256":"1b3db74bc2063e8fc56d984ef9ccbea60e2bce6c23e354795ca632d5e6f392cb"},"schema_version":"1.0","source":{"id":"1908.10403","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.10403","created_at":"2026-07-05T00:00:28Z"},{"alias_kind":"arxiv_version","alias_value":"1908.10403v2","created_at":"2026-07-05T00:00:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.10403","created_at":"2026-07-05T00:00:28Z"},{"alias_kind":"pith_short_12","alias_value":"S7DZQEZVFEB4","created_at":"2026-07-05T00:00:28Z"},{"alias_kind":"pith_short_16","alias_value":"S7DZQEZVFEB4PDUU","created_at":"2026-07-05T00:00:28Z"},{"alias_kind":"pith_short_8","alias_value":"S7DZQEZV","created_at":"2026-07-05T00:00:28Z"}],"graph_snapshots":[{"event_id":"sha256:18e6393b1f77628e2a3d79a1af26f72b858f34e8ec0549aa121605f77b5d31ac","target":"graph","created_at":"2026-07-05T00:00:28Z","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/1908.10403/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With more satellite and model precipitation data becoming available, new analytical methods are needed that can take advantage of emerging data patterns to make well informed predictions in many hydrological applications. We propose a new strategy where we extract precipitation variability patterns and use correlation map to build the resulting density map that serves as an input to centroidal Voronoi tessellation construction that optimizes placement of precipitation gauges. We provide results of numerical experiments based on the data from the Alto-Adige region in Northern Italy and Oklahoma","authors_text":"Maria Emelianenko, Marilyn Vazquez, Paul Houser, Viviana Maggioni, Yiwen Mei, Zichao Wendy Di","cross_cats":["cs.NA"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2019-08-27T18:37:27Z","title":"Centroidal Voronoi Tessellation Based Methods for Optimal Rain Gauge Location Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.10403","kind":"arxiv","version":2},"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":"sha256:7e5bbc0240e5ad95e03e7ea7ccdac60227e41d92008e55fe1a2f7f8f5011811a","target":"record","created_at":"2026-07-05T00:00:28Z","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":"8578cf8ea506825bfd98b84ff9ccaad266468165ac2e65fba621735848810d92","cross_cats_sorted":["cs.NA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2019-08-27T18:37:27Z","title_canon_sha256":"1b3db74bc2063e8fc56d984ef9ccbea60e2bce6c23e354795ca632d5e6f392cb"},"schema_version":"1.0","source":{"id":"1908.10403","kind":"arxiv","version":2}},"canonical_sha256":"97c79813352903c78e946771197c18eb7de3c54e11fa5432e47819e4875b1a2c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"97c79813352903c78e946771197c18eb7de3c54e11fa5432e47819e4875b1a2c","first_computed_at":"2026-07-05T00:00:28.141824Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:00:28.141824Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Jq60HtPZbDDXpHKGKIOj3i14KRLhgvXJ2FRWgg7G1Kg/6vmb07T6rtOvGVOHkics2N1obD6TUr7/ksh/ff1kCg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:00:28.142169Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.10403","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e5bbc0240e5ad95e03e7ea7ccdac60227e41d92008e55fe1a2f7f8f5011811a","sha256:18e6393b1f77628e2a3d79a1af26f72b858f34e8ec0549aa121605f77b5d31ac"],"state_sha256":"5727aad95e8983837624c9129e318811228e3cc0f97269f6a597f695242ca862"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1P2bJ/grzX2MZ48zSDncf7B0zRSCiCx7ZN/3JT6RGcTESyfSWPqcj9ZqeBmqYZvvinJFRKG7kSr3umP8gsdvBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T06:57:26.700765Z","bundle_sha256":"1d265863a53e9e808b67b5fe108192250730fa8dffa4d89e28dd08576b004b9c"}}