{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:FVKCYBEJ46WVJ5SO2AKO655GAX","short_pith_number":"pith:FVKCYBEJ","canonical_record":{"source":{"id":"2503.08163","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-11T08:27:08Z","cross_cats_sorted":["cs.AI","cs.CE"],"title_canon_sha256":"6e511885380a98c9acd69983f8c2f77ad38033a9fcd1121387ea0f7a6212dcb3","abstract_canon_sha256":"b5bddbcf47f998d1c5358762d981654c13a8770d189553814c1041f953fb8ef6"},"schema_version":"1.0"},"canonical_sha256":"2d542c0489e7ad54f64ed014ef77a605f2744d5f2119d4098480f76cd6b303a3","source":{"kind":"arxiv","id":"2503.08163","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.08163","created_at":"2026-07-05T10:28:52Z"},{"alias_kind":"arxiv_version","alias_value":"2503.08163v1","created_at":"2026-07-05T10:28:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.08163","created_at":"2026-07-05T10:28:52Z"},{"alias_kind":"pith_short_12","alias_value":"FVKCYBEJ46WV","created_at":"2026-07-05T10:28:52Z"},{"alias_kind":"pith_short_16","alias_value":"FVKCYBEJ46WVJ5SO","created_at":"2026-07-05T10:28:52Z"},{"alias_kind":"pith_short_8","alias_value":"FVKCYBEJ","created_at":"2026-07-05T10:28:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:FVKCYBEJ46WVJ5SO2AKO655GAX","target":"record","payload":{"canonical_record":{"source":{"id":"2503.08163","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-11T08:27:08Z","cross_cats_sorted":["cs.AI","cs.CE"],"title_canon_sha256":"6e511885380a98c9acd69983f8c2f77ad38033a9fcd1121387ea0f7a6212dcb3","abstract_canon_sha256":"b5bddbcf47f998d1c5358762d981654c13a8770d189553814c1041f953fb8ef6"},"schema_version":"1.0"},"canonical_sha256":"2d542c0489e7ad54f64ed014ef77a605f2744d5f2119d4098480f76cd6b303a3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:28:52.824972Z","signature_b64":"OWzCd4BdWysII3Am9PyklI2csrk4lhZt+BuiZq/5JE67zYmb0zUo/Q6Fq2/t39xitejKkqaoiFY0AOjnHJxfDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2d542c0489e7ad54f64ed014ef77a605f2744d5f2119d4098480f76cd6b303a3","last_reissued_at":"2026-07-05T10:28:52.824294Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:28:52.824294Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.08163","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":"2026-07-05T10:28:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tHEYcLBbIxGBrmRMkf7ubPbOa2VAtrKLYqGNU7Nq9cb1TJvln6emRYTcdu1qyKzIGbHlTFPPUCh4W6LmHTy1Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T04:13:54.143527Z"},"content_sha256":"e910a0de481c547c6b21ba9f651d82af4d2f0e5baf159f7f5cde6d35ff242805","schema_version":"1.0","event_id":"sha256:e910a0de481c547c6b21ba9f651d82af4d2f0e5baf159f7f5cde6d35ff242805"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:FVKCYBEJ46WVJ5SO2AKO655GAX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CE"],"primary_cat":"cs.LG","authors_text":"Aniruddha Bora, Chen Chen, Chenyu Dong, George Karniadakis, Gianmarco Mengaldo, Jeff Adie, Jiawen Wei, Juntao Yang, Simon See, Vivek Oommen","submitted_at":"2025-03-11T08:27:08Z","abstract_excerpt":"Extreme weather events are increasing in frequency and intensity due to climate change. This, in turn, is exacting a significant toll in communities worldwide. While prediction skills are increasing with advances in numerical weather prediction and artificial intelligence tools, extreme weather still present challenges. More specifically, identifying the precursors of such extreme weather events and how these precursors may evolve under climate change remain unclear. In this paper, we propose to use post-hoc interpretability methods to construct relevance weather maps that show the key extreme"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.08163","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/2503.08163/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":"2026-07-05T10:28:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6VacwrVjkU0OWGUb7Nn1LuW8qi5vqJk2Up0DUYwfc9ScKNFtuC0s08I3czBaapJiLHH4rfkleDXlYva7rzIEAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T04:13:54.145570Z"},"content_sha256":"fed828401bc7729c1bff9ef9231a403938e682a8c3a1371a1f976418d9b6c13b","schema_version":"1.0","event_id":"sha256:fed828401bc7729c1bff9ef9231a403938e682a8c3a1371a1f976418d9b6c13b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FVKCYBEJ46WVJ5SO2AKO655GAX/bundle.json","state_url":"https://pith.science/pith/FVKCYBEJ46WVJ5SO2AKO655GAX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FVKCYBEJ46WVJ5SO2AKO655GAX/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":"2026-08-05T04:13:54Z","links":{"resolver":"https://pith.science/pith/FVKCYBEJ46WVJ5SO2AKO655GAX","bundle":"https://pith.science/pith/FVKCYBEJ46WVJ5SO2AKO655GAX/bundle.json","state":"https://pith.science/pith/FVKCYBEJ46WVJ5SO2AKO655GAX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FVKCYBEJ46WVJ5SO2AKO655GAX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FVKCYBEJ46WVJ5SO2AKO655GAX","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":"b5bddbcf47f998d1c5358762d981654c13a8770d189553814c1041f953fb8ef6","cross_cats_sorted":["cs.AI","cs.CE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-11T08:27:08Z","title_canon_sha256":"6e511885380a98c9acd69983f8c2f77ad38033a9fcd1121387ea0f7a6212dcb3"},"schema_version":"1.0","source":{"id":"2503.08163","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.08163","created_at":"2026-07-05T10:28:52Z"},{"alias_kind":"arxiv_version","alias_value":"2503.08163v1","created_at":"2026-07-05T10:28:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.08163","created_at":"2026-07-05T10:28:52Z"},{"alias_kind":"pith_short_12","alias_value":"FVKCYBEJ46WV","created_at":"2026-07-05T10:28:52Z"},{"alias_kind":"pith_short_16","alias_value":"FVKCYBEJ46WVJ5SO","created_at":"2026-07-05T10:28:52Z"},{"alias_kind":"pith_short_8","alias_value":"FVKCYBEJ","created_at":"2026-07-05T10:28:52Z"}],"graph_snapshots":[{"event_id":"sha256:fed828401bc7729c1bff9ef9231a403938e682a8c3a1371a1f976418d9b6c13b","target":"graph","created_at":"2026-07-05T10:28:52Z","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/2503.08163/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Extreme weather events are increasing in frequency and intensity due to climate change. This, in turn, is exacting a significant toll in communities worldwide. While prediction skills are increasing with advances in numerical weather prediction and artificial intelligence tools, extreme weather still present challenges. More specifically, identifying the precursors of such extreme weather events and how these precursors may evolve under climate change remain unclear. In this paper, we propose to use post-hoc interpretability methods to construct relevance weather maps that show the key extreme","authors_text":"Aniruddha Bora, Chen Chen, Chenyu Dong, George Karniadakis, Gianmarco Mengaldo, Jeff Adie, Jiawen Wei, Juntao Yang, Simon See, Vivek Oommen","cross_cats":["cs.AI","cs.CE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-11T08:27:08Z","title":"XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.08163","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:e910a0de481c547c6b21ba9f651d82af4d2f0e5baf159f7f5cde6d35ff242805","target":"record","created_at":"2026-07-05T10:28:52Z","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":"b5bddbcf47f998d1c5358762d981654c13a8770d189553814c1041f953fb8ef6","cross_cats_sorted":["cs.AI","cs.CE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-11T08:27:08Z","title_canon_sha256":"6e511885380a98c9acd69983f8c2f77ad38033a9fcd1121387ea0f7a6212dcb3"},"schema_version":"1.0","source":{"id":"2503.08163","kind":"arxiv","version":1}},"canonical_sha256":"2d542c0489e7ad54f64ed014ef77a605f2744d5f2119d4098480f76cd6b303a3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2d542c0489e7ad54f64ed014ef77a605f2744d5f2119d4098480f76cd6b303a3","first_computed_at":"2026-07-05T10:28:52.824294Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:28:52.824294Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OWzCd4BdWysII3Am9PyklI2csrk4lhZt+BuiZq/5JE67zYmb0zUo/Q6Fq2/t39xitejKkqaoiFY0AOjnHJxfDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:28:52.824972Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.08163","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e910a0de481c547c6b21ba9f651d82af4d2f0e5baf159f7f5cde6d35ff242805","sha256:fed828401bc7729c1bff9ef9231a403938e682a8c3a1371a1f976418d9b6c13b"],"state_sha256":"ff33da005377119cddbccdfbfbc797f05eb05dd6d63e77fa1db4076704f74587"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hfARaGOegtYcw9fQWUL92BLKIo4DVf3fDuSq7W5L3IIVKuPhl1l8NH7ouKSZrX8/OHuZiqZFiBlXkb7fi1txCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T04:13:54.154029Z","bundle_sha256":"255240875383cc69d613c6b346c7325017df625283687d4f5519e94dbb4abb3e"}}