{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VFTRHUOGR2JGNLZGI2JZ5VDXIG","short_pith_number":"pith:VFTRHUOG","canonical_record":{"source":{"id":"2509.10362","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-09-12T15:53:16Z","cross_cats_sorted":[],"title_canon_sha256":"ddc0d27360267dbaa92cdfa2f81d5becf92f81fe089fd321b892dfc822165d32","abstract_canon_sha256":"1e5af12b95d5ced4690f64a55a4def332edb0060ebf96ee9aa72d668a933d300"},"schema_version":"1.0"},"canonical_sha256":"a96713d1c68e9266af2646939ed4774186bc937b7ebe7da30894d325fd1fd194","source":{"kind":"arxiv","id":"2509.10362","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.10362","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"arxiv_version","alias_value":"2509.10362v1","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.10362","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"pith_short_12","alias_value":"VFTRHUOGR2JG","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"pith_short_16","alias_value":"VFTRHUOGR2JGNLZG","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"pith_short_8","alias_value":"VFTRHUOG","created_at":"2026-07-05T12:11:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VFTRHUOGR2JGNLZGI2JZ5VDXIG","target":"record","payload":{"canonical_record":{"source":{"id":"2509.10362","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-09-12T15:53:16Z","cross_cats_sorted":[],"title_canon_sha256":"ddc0d27360267dbaa92cdfa2f81d5becf92f81fe089fd321b892dfc822165d32","abstract_canon_sha256":"1e5af12b95d5ced4690f64a55a4def332edb0060ebf96ee9aa72d668a933d300"},"schema_version":"1.0"},"canonical_sha256":"a96713d1c68e9266af2646939ed4774186bc937b7ebe7da30894d325fd1fd194","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:11:08.370053Z","signature_b64":"8AL8FNXIi6qcO8AlJ+6Tx2XJP2xltNsVDNUIkHear7D6gaBKna+uQc44UYRfC/FcPQJ36TlyO7swKVUjYeH/BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a96713d1c68e9266af2646939ed4774186bc937b7ebe7da30894d325fd1fd194","last_reissued_at":"2026-07-05T12:11:08.369502Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:11:08.369502Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.10362","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":"2026-07-05T12:11:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C0YoFsWeqIYQJYPk/2QiK618jkw14rFHhJZZvDG5+8Gl5sL7d1++UFqKZlR5q/nLDdrjnCHAQB6Y/pdiJD4tAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:24:57.494595Z"},"content_sha256":"5d4b7f828eac3d192b66ae07a17fb16db496e30ad26a264b0f8f92eede42f0e2","schema_version":"1.0","event_id":"sha256:5d4b7f828eac3d192b66ae07a17fb16db496e30ad26a264b0f8f92eede42f0e2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VFTRHUOGR2JGNLZGI2JZ5VDXIG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spatial Modeling and Risk Zoning of Global Extreme Precipitation via Graph Neural Networks and r-Pareto Processes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Daning Bi, Yifan Wu, Zimu Wang","submitted_at":"2025-09-12T15:53:16Z","abstract_excerpt":"Extreme precipitation events occurring over large spatial domains pose substantial threats to societies because they can trigger compound flooding, landslides, and infrastructure failures across wide areas. A hybrid framework for spatial extreme precipitation modeling and risk zoning is proposed that integrates graph neural networks with r-Pareto processes (GNN-rP). Unlike traditional statistical spatial extremes models, this approach learns nonlinear, nonstationary dependence structures from precipitation-derived spatial graphs and applies a data-driven tail functional to model joint exceedan"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.10362","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2509.10362/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":"2026-07-05T12:11:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"20KmSYcDPCuSfRHpFRrgJ3wnPG+QjOlY5IpNDKud+2we+xIFbahb3GXyuy/5lZb62hUIH73QefniZP43yxTSBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:24:57.495507Z"},"content_sha256":"cf30dbdc53205ea3a5599140a387d21dfacb05d3b476d1e76ce8be6ff06a8a56","schema_version":"1.0","event_id":"sha256:cf30dbdc53205ea3a5599140a387d21dfacb05d3b476d1e76ce8be6ff06a8a56"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VFTRHUOGR2JGNLZGI2JZ5VDXIG/bundle.json","state_url":"https://pith.science/pith/VFTRHUOGR2JGNLZGI2JZ5VDXIG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VFTRHUOGR2JGNLZGI2JZ5VDXIG/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":"2026-08-09T11:24:57Z","links":{"resolver":"https://pith.science/pith/VFTRHUOGR2JGNLZGI2JZ5VDXIG","bundle":"https://pith.science/pith/VFTRHUOGR2JGNLZGI2JZ5VDXIG/bundle.json","state":"https://pith.science/pith/VFTRHUOGR2JGNLZGI2JZ5VDXIG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VFTRHUOGR2JGNLZGI2JZ5VDXIG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VFTRHUOGR2JGNLZGI2JZ5VDXIG","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":"1e5af12b95d5ced4690f64a55a4def332edb0060ebf96ee9aa72d668a933d300","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-09-12T15:53:16Z","title_canon_sha256":"ddc0d27360267dbaa92cdfa2f81d5becf92f81fe089fd321b892dfc822165d32"},"schema_version":"1.0","source":{"id":"2509.10362","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.10362","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"arxiv_version","alias_value":"2509.10362v1","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.10362","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"pith_short_12","alias_value":"VFTRHUOGR2JG","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"pith_short_16","alias_value":"VFTRHUOGR2JGNLZG","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"pith_short_8","alias_value":"VFTRHUOG","created_at":"2026-07-05T12:11:08Z"}],"graph_snapshots":[{"event_id":"sha256:cf30dbdc53205ea3a5599140a387d21dfacb05d3b476d1e76ce8be6ff06a8a56","target":"graph","created_at":"2026-07-05T12:11:08Z","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/2509.10362/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Extreme precipitation events occurring over large spatial domains pose substantial threats to societies because they can trigger compound flooding, landslides, and infrastructure failures across wide areas. A hybrid framework for spatial extreme precipitation modeling and risk zoning is proposed that integrates graph neural networks with r-Pareto processes (GNN-rP). Unlike traditional statistical spatial extremes models, this approach learns nonlinear, nonstationary dependence structures from precipitation-derived spatial graphs and applies a data-driven tail functional to model joint exceedan","authors_text":"Daning Bi, Yifan Wu, Zimu Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-09-12T15:53:16Z","title":"Spatial Modeling and Risk Zoning of Global Extreme Precipitation via Graph Neural Networks and r-Pareto Processes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.10362","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":"sha256:5d4b7f828eac3d192b66ae07a17fb16db496e30ad26a264b0f8f92eede42f0e2","target":"record","created_at":"2026-07-05T12:11:08Z","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":"1e5af12b95d5ced4690f64a55a4def332edb0060ebf96ee9aa72d668a933d300","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-09-12T15:53:16Z","title_canon_sha256":"ddc0d27360267dbaa92cdfa2f81d5becf92f81fe089fd321b892dfc822165d32"},"schema_version":"1.0","source":{"id":"2509.10362","kind":"arxiv","version":1}},"canonical_sha256":"a96713d1c68e9266af2646939ed4774186bc937b7ebe7da30894d325fd1fd194","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a96713d1c68e9266af2646939ed4774186bc937b7ebe7da30894d325fd1fd194","first_computed_at":"2026-07-05T12:11:08.369502Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:11:08.369502Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8AL8FNXIi6qcO8AlJ+6Tx2XJP2xltNsVDNUIkHear7D6gaBKna+uQc44UYRfC/FcPQJ36TlyO7swKVUjYeH/BA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:11:08.370053Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.10362","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5d4b7f828eac3d192b66ae07a17fb16db496e30ad26a264b0f8f92eede42f0e2","sha256:cf30dbdc53205ea3a5599140a387d21dfacb05d3b476d1e76ce8be6ff06a8a56"],"state_sha256":"9cfac76c2ade39ab74a8366f8ce4aaf7dca7a9b572b7f99204b5a54061f4501a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w49XmZIcIt/t5gw/T0idOQz4gghDM6NptCDoRtRXhzw9ASXiLNA1ZA7cMZ3BgkR5bdEjtSO20zyPYYIp4ePtAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T11:24:57.501050Z","bundle_sha256":"80db40bc6aa9a6d9611ad62e691bdcf6e1e8dc2c550fc7da8157b7f2b0608c60"}}