{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:4BCVMU5T7AFRQMTKQTICESUUEZ","short_pith_number":"pith:4BCVMU5T","canonical_record":{"source":{"id":"2606.25937","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.ao-ph","submitted_at":"2026-06-24T15:14:53Z","cross_cats_sorted":[],"title_canon_sha256":"b54faea37b086b3310b23a03cfb790a1d8cd773e964c54829094f49f49a9f922","abstract_canon_sha256":"81d05a6eca491acaf5c076edaf426df2e5cd65273fc37e5c0161295dee82984c"},"schema_version":"1.0"},"canonical_sha256":"e0455653b3f80b18326a84d0224a9426709a1b8d801ebef8b6d4e50a3314f2bc","source":{"kind":"arxiv","id":"2606.25937","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.25937","created_at":"2026-06-25T01:18:43Z"},{"alias_kind":"arxiv_version","alias_value":"2606.25937v1","created_at":"2026-06-25T01:18:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.25937","created_at":"2026-06-25T01:18:43Z"},{"alias_kind":"pith_short_12","alias_value":"4BCVMU5T7AFR","created_at":"2026-06-25T01:18:43Z"},{"alias_kind":"pith_short_16","alias_value":"4BCVMU5T7AFRQMTK","created_at":"2026-06-25T01:18:43Z"},{"alias_kind":"pith_short_8","alias_value":"4BCVMU5T","created_at":"2026-06-25T01:18:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:4BCVMU5T7AFRQMTKQTICESUUEZ","target":"record","payload":{"canonical_record":{"source":{"id":"2606.25937","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.ao-ph","submitted_at":"2026-06-24T15:14:53Z","cross_cats_sorted":[],"title_canon_sha256":"b54faea37b086b3310b23a03cfb790a1d8cd773e964c54829094f49f49a9f922","abstract_canon_sha256":"81d05a6eca491acaf5c076edaf426df2e5cd65273fc37e5c0161295dee82984c"},"schema_version":"1.0"},"canonical_sha256":"e0455653b3f80b18326a84d0224a9426709a1b8d801ebef8b6d4e50a3314f2bc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-25T01:18:43.763326Z","signature_b64":"RpEKrcu1zSoAIb9pfsDl+xBwjfJYAbCK6E6eRyx+HZHpEbvA08WqsLTQYAOy0EHcsiTGHq/Yc1X1itgIKfaJCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0455653b3f80b18326a84d0224a9426709a1b8d801ebef8b6d4e50a3314f2bc","last_reissued_at":"2026-06-25T01:18:43.762921Z","signature_status":"signed_v1","first_computed_at":"2026-06-25T01:18:43.762921Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.25937","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":"2026-06-25T01:18:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sQEP8ZAVQtgZImkFe6TduYFV2ZGx3G3yuRvi5ZeSYYlAr1bRsQVz7fzm95tnoLM3UCJRJiX88/If7xVzihkFCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T14:32:00.799097Z"},"content_sha256":"2d3ef5af661d12166f84b9bcc748f50f605310c3c7e7278596c54ec0490f68ba","schema_version":"1.0","event_id":"sha256:2d3ef5af661d12166f84b9bcc748f50f605310c3c7e7278596c54ec0490f68ba"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:4BCVMU5T7AFRQMTKQTICESUUEZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Event-Aware Loss Design for Forecasting of Convective Precipitation and Lightning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"physics.ao-ph","authors_text":"Byeonggwon Kim, ChangJae Lee, Heecheol Yang","submitted_at":"2026-06-24T15:14:53Z","abstract_excerpt":"Accurate forecasting of high-impact weather, specifically extreme precipitation and lightning, remains a significant challenge in numerical weather prediction (NWP) due to the complexity of atmospheric microphysics. While deep-learning models have shown promise in large-scale forecasting, they often suffer from systematic under-prediction of rare, high-intensity events and localized convective showers when optimized with conventional loss functions like Mean Squared Error (MSE). This study proposes an Event-Aware multi-task deep-learning post-processing framework designed to improve the repres"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.25937","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/2606.25937/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":"2026-06-25T01:18:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1wmZJ3oar23paUO+I0w2gyAtSufQ5OnvomH0k7iLInmwX0DyX8DB673sbF5cIZu7e9LCiT6Qo99l5/nEFHe5CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T14:32:00.799476Z"},"content_sha256":"77e236ab30103c168d44fbc0060000fd4ec543b649073ee3de137a1187f4f217","schema_version":"1.0","event_id":"sha256:77e236ab30103c168d44fbc0060000fd4ec543b649073ee3de137a1187f4f217"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4BCVMU5T7AFRQMTKQTICESUUEZ/bundle.json","state_url":"https://pith.science/pith/4BCVMU5T7AFRQMTKQTICESUUEZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4BCVMU5T7AFRQMTKQTICESUUEZ/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":"2026-06-28T14:32:00Z","links":{"resolver":"https://pith.science/pith/4BCVMU5T7AFRQMTKQTICESUUEZ","bundle":"https://pith.science/pith/4BCVMU5T7AFRQMTKQTICESUUEZ/bundle.json","state":"https://pith.science/pith/4BCVMU5T7AFRQMTKQTICESUUEZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4BCVMU5T7AFRQMTKQTICESUUEZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4BCVMU5T7AFRQMTKQTICESUUEZ","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":"81d05a6eca491acaf5c076edaf426df2e5cd65273fc37e5c0161295dee82984c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.ao-ph","submitted_at":"2026-06-24T15:14:53Z","title_canon_sha256":"b54faea37b086b3310b23a03cfb790a1d8cd773e964c54829094f49f49a9f922"},"schema_version":"1.0","source":{"id":"2606.25937","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.25937","created_at":"2026-06-25T01:18:43Z"},{"alias_kind":"arxiv_version","alias_value":"2606.25937v1","created_at":"2026-06-25T01:18:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.25937","created_at":"2026-06-25T01:18:43Z"},{"alias_kind":"pith_short_12","alias_value":"4BCVMU5T7AFR","created_at":"2026-06-25T01:18:43Z"},{"alias_kind":"pith_short_16","alias_value":"4BCVMU5T7AFRQMTK","created_at":"2026-06-25T01:18:43Z"},{"alias_kind":"pith_short_8","alias_value":"4BCVMU5T","created_at":"2026-06-25T01:18:43Z"}],"graph_snapshots":[{"event_id":"sha256:77e236ab30103c168d44fbc0060000fd4ec543b649073ee3de137a1187f4f217","target":"graph","created_at":"2026-06-25T01:18:43Z","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/2606.25937/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate forecasting of high-impact weather, specifically extreme precipitation and lightning, remains a significant challenge in numerical weather prediction (NWP) due to the complexity of atmospheric microphysics. While deep-learning models have shown promise in large-scale forecasting, they often suffer from systematic under-prediction of rare, high-intensity events and localized convective showers when optimized with conventional loss functions like Mean Squared Error (MSE). This study proposes an Event-Aware multi-task deep-learning post-processing framework designed to improve the repres","authors_text":"Byeonggwon Kim, ChangJae Lee, Heecheol Yang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.ao-ph","submitted_at":"2026-06-24T15:14:53Z","title":"Event-Aware Loss Design for Forecasting of Convective Precipitation and Lightning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.25937","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":"sha256:2d3ef5af661d12166f84b9bcc748f50f605310c3c7e7278596c54ec0490f68ba","target":"record","created_at":"2026-06-25T01:18:43Z","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":"81d05a6eca491acaf5c076edaf426df2e5cd65273fc37e5c0161295dee82984c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.ao-ph","submitted_at":"2026-06-24T15:14:53Z","title_canon_sha256":"b54faea37b086b3310b23a03cfb790a1d8cd773e964c54829094f49f49a9f922"},"schema_version":"1.0","source":{"id":"2606.25937","kind":"arxiv","version":1}},"canonical_sha256":"e0455653b3f80b18326a84d0224a9426709a1b8d801ebef8b6d4e50a3314f2bc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e0455653b3f80b18326a84d0224a9426709a1b8d801ebef8b6d4e50a3314f2bc","first_computed_at":"2026-06-25T01:18:43.762921Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-25T01:18:43.762921Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RpEKrcu1zSoAIb9pfsDl+xBwjfJYAbCK6E6eRyx+HZHpEbvA08WqsLTQYAOy0EHcsiTGHq/Yc1X1itgIKfaJCw==","signature_status":"signed_v1","signed_at":"2026-06-25T01:18:43.763326Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.25937","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2d3ef5af661d12166f84b9bcc748f50f605310c3c7e7278596c54ec0490f68ba","sha256:77e236ab30103c168d44fbc0060000fd4ec543b649073ee3de137a1187f4f217"],"state_sha256":"1ac3b2984cd3a7d9b50b180a0e927d364776d3f8e9dcd4b6b5861b3d2835b0e0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5NOMKENtWpgH7L49hdCqcFCLLphaRuSMpS7xROQeGCLLB6O53sUX6vgdMRYpR9mWIKhAhN/aE6S8LLHvtyapDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T14:32:00.801500Z","bundle_sha256":"8fb58c55307118b756d2572d0fd6ac3593472255763c33f8feee8cc76a935d8a"}}