{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:USTG5GVWDVS3YPBQYLJRZ2ETVJ","short_pith_number":"pith:USTG5GVW","canonical_record":{"source":{"id":"1812.01646","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2018-12-04T19:39:36Z","cross_cats_sorted":["cs.CY","physics.data-an","physics.geo-ph"],"title_canon_sha256":"826ac2c958a6e19f5a9b4c8b564d3c4403d4e6c04ce6961253dd3cc62a6764eb","abstract_canon_sha256":"b24a5d97e55c81357ce40ebb584a8b0e34c2ad97a670b222ed281ee700fa9b73"},"schema_version":"1.0"},"canonical_sha256":"a4a66e9ab61d65bc3c30c2d31ce893aa59252b134ef7e48c44c0c8b38e827044","source":{"kind":"arxiv","id":"1812.01646","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.01646","created_at":"2026-05-17T23:58:35Z"},{"alias_kind":"arxiv_version","alias_value":"1812.01646v2","created_at":"2026-05-17T23:58:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.01646","created_at":"2026-05-17T23:58:35Z"},{"alias_kind":"pith_short_12","alias_value":"USTG5GVWDVS3","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"USTG5GVWDVS3YPBQ","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"USTG5GVW","created_at":"2026-05-18T12:32:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:USTG5GVWDVS3YPBQYLJRZ2ETVJ","target":"record","payload":{"canonical_record":{"source":{"id":"1812.01646","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2018-12-04T19:39:36Z","cross_cats_sorted":["cs.CY","physics.data-an","physics.geo-ph"],"title_canon_sha256":"826ac2c958a6e19f5a9b4c8b564d3c4403d4e6c04ce6961253dd3cc62a6764eb","abstract_canon_sha256":"b24a5d97e55c81357ce40ebb584a8b0e34c2ad97a670b222ed281ee700fa9b73"},"schema_version":"1.0"},"canonical_sha256":"a4a66e9ab61d65bc3c30c2d31ce893aa59252b134ef7e48c44c0c8b38e827044","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:58:35.733124Z","signature_b64":"kbmAvtoZJLxn5mu3ogliQdKX/ui+4fcRk0Lm7kSjkZJnl0mukiYPCVcBsP273IdXrQhnrM4LQNEUlg4FDYg4Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a4a66e9ab61d65bc3c30c2d31ce893aa59252b134ef7e48c44c0c8b38e827044","last_reissued_at":"2026-05-17T23:58:35.732304Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:58:35.732304Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.01646","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":"2026-05-17T23:58:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YM4as4/1eascdWbp08IoXnNpLKwewXOadsgvHRtpyI9UMY0ARCjbMJgy2O+bC6zUiNCS77a27cWQYcwpAINNDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T21:06:43.008522Z"},"content_sha256":"bc69389733b1518c5bf33f746c5bbb6e39470dbbf0936b12d0336187abb3e7d0","schema_version":"1.0","event_id":"sha256:bc69389733b1518c5bf33f746c5bbb6e39470dbbf0936b12d0336187abb3e7d0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:USTG5GVWDVS3YPBQYLJRZ2ETVJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"From spatio-temporal data to chronological networks: An application to wildfire analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY","physics.data-an","physics.geo-ph"],"primary_cat":"physics.soc-ph","authors_text":"Didier A. Vega-Oliveros, Elbert E. N. Macau, Leonardo N. Ferreira, Liang Zhao, Manoel F. Cardoso, Marcos Quiles, Mosh\\'e Cotacallapa","submitted_at":"2018-12-04T19:39:36Z","abstract_excerpt":"Network theory has established itself as an appropriate tool for complex systems analysis and pattern recognition. In the context of spatiotemporal data analysis, correlation networks are used in the vast majority of works. However, the Pearson correlation coefficient captures only linear relationships and does not correctly capture recurrent events. This missed information is essential for temporal pattern recognition. In this work, we propose a chronological network construction process that is capable of capturing various events. Similar to the previous methods, we divide the area of study "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.01646","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":""},"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":"2026-05-17T23:58:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eybd+GujP0urFbDVLZ46WFPBXpqkzN/TPsgidiUAhCDHD8EdVqg/5hN6dOoIfvMjVYnuBRMsjcZzLmmvopQeAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T21:06:43.009100Z"},"content_sha256":"ac98fff2d4dabff9bf93522923ce941022f90b02b6deb64a1a35594ebec34652","schema_version":"1.0","event_id":"sha256:ac98fff2d4dabff9bf93522923ce941022f90b02b6deb64a1a35594ebec34652"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/USTG5GVWDVS3YPBQYLJRZ2ETVJ/bundle.json","state_url":"https://pith.science/pith/USTG5GVWDVS3YPBQYLJRZ2ETVJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/USTG5GVWDVS3YPBQYLJRZ2ETVJ/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":"2026-06-07T21:06:43Z","links":{"resolver":"https://pith.science/pith/USTG5GVWDVS3YPBQYLJRZ2ETVJ","bundle":"https://pith.science/pith/USTG5GVWDVS3YPBQYLJRZ2ETVJ/bundle.json","state":"https://pith.science/pith/USTG5GVWDVS3YPBQYLJRZ2ETVJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/USTG5GVWDVS3YPBQYLJRZ2ETVJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:USTG5GVWDVS3YPBQYLJRZ2ETVJ","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":"b24a5d97e55c81357ce40ebb584a8b0e34c2ad97a670b222ed281ee700fa9b73","cross_cats_sorted":["cs.CY","physics.data-an","physics.geo-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2018-12-04T19:39:36Z","title_canon_sha256":"826ac2c958a6e19f5a9b4c8b564d3c4403d4e6c04ce6961253dd3cc62a6764eb"},"schema_version":"1.0","source":{"id":"1812.01646","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.01646","created_at":"2026-05-17T23:58:35Z"},{"alias_kind":"arxiv_version","alias_value":"1812.01646v2","created_at":"2026-05-17T23:58:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.01646","created_at":"2026-05-17T23:58:35Z"},{"alias_kind":"pith_short_12","alias_value":"USTG5GVWDVS3","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"USTG5GVWDVS3YPBQ","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"USTG5GVW","created_at":"2026-05-18T12:32:56Z"}],"graph_snapshots":[{"event_id":"sha256:ac98fff2d4dabff9bf93522923ce941022f90b02b6deb64a1a35594ebec34652","target":"graph","created_at":"2026-05-17T23:58:35Z","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":"Network theory has established itself as an appropriate tool for complex systems analysis and pattern recognition. In the context of spatiotemporal data analysis, correlation networks are used in the vast majority of works. However, the Pearson correlation coefficient captures only linear relationships and does not correctly capture recurrent events. This missed information is essential for temporal pattern recognition. In this work, we propose a chronological network construction process that is capable of capturing various events. Similar to the previous methods, we divide the area of study ","authors_text":"Didier A. Vega-Oliveros, Elbert E. N. Macau, Leonardo N. Ferreira, Liang Zhao, Manoel F. Cardoso, Marcos Quiles, Mosh\\'e Cotacallapa","cross_cats":["cs.CY","physics.data-an","physics.geo-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2018-12-04T19:39:36Z","title":"From spatio-temporal data to chronological networks: An application to wildfire analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.01646","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:bc69389733b1518c5bf33f746c5bbb6e39470dbbf0936b12d0336187abb3e7d0","target":"record","created_at":"2026-05-17T23:58:35Z","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":"b24a5d97e55c81357ce40ebb584a8b0e34c2ad97a670b222ed281ee700fa9b73","cross_cats_sorted":["cs.CY","physics.data-an","physics.geo-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2018-12-04T19:39:36Z","title_canon_sha256":"826ac2c958a6e19f5a9b4c8b564d3c4403d4e6c04ce6961253dd3cc62a6764eb"},"schema_version":"1.0","source":{"id":"1812.01646","kind":"arxiv","version":2}},"canonical_sha256":"a4a66e9ab61d65bc3c30c2d31ce893aa59252b134ef7e48c44c0c8b38e827044","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a4a66e9ab61d65bc3c30c2d31ce893aa59252b134ef7e48c44c0c8b38e827044","first_computed_at":"2026-05-17T23:58:35.732304Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:58:35.732304Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kbmAvtoZJLxn5mu3ogliQdKX/ui+4fcRk0Lm7kSjkZJnl0mukiYPCVcBsP273IdXrQhnrM4LQNEUlg4FDYg4Dw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:58:35.733124Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.01646","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bc69389733b1518c5bf33f746c5bbb6e39470dbbf0936b12d0336187abb3e7d0","sha256:ac98fff2d4dabff9bf93522923ce941022f90b02b6deb64a1a35594ebec34652"],"state_sha256":"26c039a3823f28c9ac19310fde887709273fb2c1ea102f93ebe59710bec1ed93"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n6IGVpB9kI9SkXS+Zl3P2LXbx+nqFECJp+LtxVgA2+oPVMEhJxyVI75xPp8UWzjW+AcoF3FlhhSa4qo71mlHCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T21:06:43.012305Z","bundle_sha256":"e902ecbea4f77252880164b85693cf99f7af4fd5d64db2b54af0cfd5ea6f9b6b"}}