{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:LZXFFGECRPRGB7XHKGG2LPSXIV","short_pith_number":"pith:LZXFFGEC","canonical_record":{"source":{"id":"2605.26401","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2026-05-26T00:18:05Z","cross_cats_sorted":["stat.ME"],"title_canon_sha256":"fa3161eb07f8cadfe9a428b4de87f4963826e3b48f6d0e608b74a7c9058c974a","abstract_canon_sha256":"804d9e2bd934c2920532fedd94cfcc7543739b7447ca080075af3f4d8fabd02f"},"schema_version":"1.0"},"canonical_sha256":"5e6e5298828be260fee7518da5be574544f72540a8994b400bff65acd8b34f59","source":{"kind":"arxiv","id":"2605.26401","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.26401","created_at":"2026-05-27T01:05:16Z"},{"alias_kind":"arxiv_version","alias_value":"2605.26401v1","created_at":"2026-05-27T01:05:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.26401","created_at":"2026-05-27T01:05:16Z"},{"alias_kind":"pith_short_12","alias_value":"LZXFFGECRPRG","created_at":"2026-05-27T01:05:16Z"},{"alias_kind":"pith_short_16","alias_value":"LZXFFGECRPRGB7XH","created_at":"2026-05-27T01:05:16Z"},{"alias_kind":"pith_short_8","alias_value":"LZXFFGEC","created_at":"2026-05-27T01:05:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:LZXFFGECRPRGB7XHKGG2LPSXIV","target":"record","payload":{"canonical_record":{"source":{"id":"2605.26401","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2026-05-26T00:18:05Z","cross_cats_sorted":["stat.ME"],"title_canon_sha256":"fa3161eb07f8cadfe9a428b4de87f4963826e3b48f6d0e608b74a7c9058c974a","abstract_canon_sha256":"804d9e2bd934c2920532fedd94cfcc7543739b7447ca080075af3f4d8fabd02f"},"schema_version":"1.0"},"canonical_sha256":"5e6e5298828be260fee7518da5be574544f72540a8994b400bff65acd8b34f59","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-27T01:05:16.175352Z","signature_b64":"lx3pQCi9ffOf3UrXrVIVNJwh2dIl8w1n9FC64vg7MzL32GLRE24lU34pNEUjnDnnJGJYxASuCWJTBORJSlt7CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5e6e5298828be260fee7518da5be574544f72540a8994b400bff65acd8b34f59","last_reissued_at":"2026-05-27T01:05:16.174471Z","signature_status":"signed_v1","first_computed_at":"2026-05-27T01:05:16.174471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.26401","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":"2026-05-27T01:05:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8f5JapWTCq7tjdQq5ThY2vfRwJ0NloKvGUJ7eBTPJjZHm882YtEth6xjgGaar3eVAGbfnwzYlt2smmRv+WPeCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T13:47:04.912704Z"},"content_sha256":"fd2fb59e925d959f17f7d65ca2f30a995cf5c2ba54343ae8629609c0f6ddfd64","schema_version":"1.0","event_id":"sha256:fd2fb59e925d959f17f7d65ca2f30a995cf5c2ba54343ae8629609c0f6ddfd64"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:LZXFFGECRPRGB7XHKGG2LPSXIV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Small-Area Precipitation Forecasting and Drought--Flood Early Warning with Reverse-Martingale Regularized Recurrent Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ME"],"primary_cat":"stat.AP","authors_text":"Foo Hui-Mean, Yuan-chin Ivan Chang","submitted_at":"2026-05-26T00:18:05Z","abstract_excerpt":"Small-area precipitation forecasts support real-time decisions for reservoir operation, irrigation planning, drought monitoring, and flash-flood response. Operational value depends not only on point accuracy, but also on calibrated exceedance probabilities and warning rules that remain stable when local weather regimes depart from the training climatology. We evaluate a reverse-martingale regularized recurrent neural network (\\RMRNN) for probabilistic precipitation forecasting and sequential early warning. A backward-coherence penalty is added to the recurrent hidden state; the resulting resid"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.26401","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/2605.26401/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":"2026-05-27T01:05:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bG0Fz1zPCoiHqoXNacFwvuh7xuBsKgtpgum5Oxii7Wp8FOT2/vD81Ug3vN6yw10pbeo1Ctddiboku7LfsVGfAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T13:47:04.913421Z"},"content_sha256":"a707af3e2f288ba4362ee174100a434a817e50f9c1755ed7a6fb7511bd1c9b73","schema_version":"1.0","event_id":"sha256:a707af3e2f288ba4362ee174100a434a817e50f9c1755ed7a6fb7511bd1c9b73"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LZXFFGECRPRGB7XHKGG2LPSXIV/bundle.json","state_url":"https://pith.science/pith/LZXFFGECRPRGB7XHKGG2LPSXIV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LZXFFGECRPRGB7XHKGG2LPSXIV/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":"2026-06-10T13:47:04Z","links":{"resolver":"https://pith.science/pith/LZXFFGECRPRGB7XHKGG2LPSXIV","bundle":"https://pith.science/pith/LZXFFGECRPRGB7XHKGG2LPSXIV/bundle.json","state":"https://pith.science/pith/LZXFFGECRPRGB7XHKGG2LPSXIV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LZXFFGECRPRGB7XHKGG2LPSXIV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LZXFFGECRPRGB7XHKGG2LPSXIV","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":"804d9e2bd934c2920532fedd94cfcc7543739b7447ca080075af3f4d8fabd02f","cross_cats_sorted":["stat.ME"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2026-05-26T00:18:05Z","title_canon_sha256":"fa3161eb07f8cadfe9a428b4de87f4963826e3b48f6d0e608b74a7c9058c974a"},"schema_version":"1.0","source":{"id":"2605.26401","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.26401","created_at":"2026-05-27T01:05:16Z"},{"alias_kind":"arxiv_version","alias_value":"2605.26401v1","created_at":"2026-05-27T01:05:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.26401","created_at":"2026-05-27T01:05:16Z"},{"alias_kind":"pith_short_12","alias_value":"LZXFFGECRPRG","created_at":"2026-05-27T01:05:16Z"},{"alias_kind":"pith_short_16","alias_value":"LZXFFGECRPRGB7XH","created_at":"2026-05-27T01:05:16Z"},{"alias_kind":"pith_short_8","alias_value":"LZXFFGEC","created_at":"2026-05-27T01:05:16Z"}],"graph_snapshots":[{"event_id":"sha256:a707af3e2f288ba4362ee174100a434a817e50f9c1755ed7a6fb7511bd1c9b73","target":"graph","created_at":"2026-05-27T01:05:16Z","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/2605.26401/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Small-area precipitation forecasts support real-time decisions for reservoir operation, irrigation planning, drought monitoring, and flash-flood response. Operational value depends not only on point accuracy, but also on calibrated exceedance probabilities and warning rules that remain stable when local weather regimes depart from the training climatology. We evaluate a reverse-martingale regularized recurrent neural network (\\RMRNN) for probabilistic precipitation forecasting and sequential early warning. A backward-coherence penalty is added to the recurrent hidden state; the resulting resid","authors_text":"Foo Hui-Mean, Yuan-chin Ivan Chang","cross_cats":["stat.ME"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2026-05-26T00:18:05Z","title":"Small-Area Precipitation Forecasting and Drought--Flood Early Warning with Reverse-Martingale Regularized Recurrent Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.26401","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:fd2fb59e925d959f17f7d65ca2f30a995cf5c2ba54343ae8629609c0f6ddfd64","target":"record","created_at":"2026-05-27T01:05:16Z","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":"804d9e2bd934c2920532fedd94cfcc7543739b7447ca080075af3f4d8fabd02f","cross_cats_sorted":["stat.ME"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2026-05-26T00:18:05Z","title_canon_sha256":"fa3161eb07f8cadfe9a428b4de87f4963826e3b48f6d0e608b74a7c9058c974a"},"schema_version":"1.0","source":{"id":"2605.26401","kind":"arxiv","version":1}},"canonical_sha256":"5e6e5298828be260fee7518da5be574544f72540a8994b400bff65acd8b34f59","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5e6e5298828be260fee7518da5be574544f72540a8994b400bff65acd8b34f59","first_computed_at":"2026-05-27T01:05:16.174471Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T01:05:16.174471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lx3pQCi9ffOf3UrXrVIVNJwh2dIl8w1n9FC64vg7MzL32GLRE24lU34pNEUjnDnnJGJYxASuCWJTBORJSlt7CA==","signature_status":"signed_v1","signed_at":"2026-05-27T01:05:16.175352Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.26401","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd2fb59e925d959f17f7d65ca2f30a995cf5c2ba54343ae8629609c0f6ddfd64","sha256:a707af3e2f288ba4362ee174100a434a817e50f9c1755ed7a6fb7511bd1c9b73"],"state_sha256":"3a3135b947aee4c69cf9b1f0da3a64c5ddf32d17243f4ce8126ee1c9432b9747"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sAyyERovNw1idxNaH50WvbYCIDccYT7vV/5TRXmfakpcodEMBkIdVM7zjJuQlV83IyGYnmhHHyTraOSu8wFMCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T13:47:04.917791Z","bundle_sha256":"e06c07884b796827ae0b25e394cf8735e7eaa27469a4ae7e94b7024b411bb9d1"}}