{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TAXLDKP24LSLBLF4YPM7DI4EQN","short_pith_number":"pith:TAXLDKP2","canonical_record":{"source":{"id":"2406.04678","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-07T06:49:59Z","cross_cats_sorted":[],"title_canon_sha256":"1695293cccf6d8c6d5ca85207f36f8ac028f6eddc3cbb9bda0e68cefba4354ff","abstract_canon_sha256":"ead29c15e04b96f09aef23647fecc8ef5121021096d8751bd351ba7cd293f88d"},"schema_version":"1.0"},"canonical_sha256":"982eb1a9fae2e4b0acbcc3d9f1a38483791f0844e43522c57434925bc060747c","source":{"kind":"arxiv","id":"2406.04678","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.04678","created_at":"2026-07-05T08:28:47Z"},{"alias_kind":"arxiv_version","alias_value":"2406.04678v1","created_at":"2026-07-05T08:28:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.04678","created_at":"2026-07-05T08:28:47Z"},{"alias_kind":"pith_short_12","alias_value":"TAXLDKP24LSL","created_at":"2026-07-05T08:28:47Z"},{"alias_kind":"pith_short_16","alias_value":"TAXLDKP24LSLBLF4","created_at":"2026-07-05T08:28:47Z"},{"alias_kind":"pith_short_8","alias_value":"TAXLDKP2","created_at":"2026-07-05T08:28:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TAXLDKP24LSLBLF4YPM7DI4EQN","target":"record","payload":{"canonical_record":{"source":{"id":"2406.04678","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-07T06:49:59Z","cross_cats_sorted":[],"title_canon_sha256":"1695293cccf6d8c6d5ca85207f36f8ac028f6eddc3cbb9bda0e68cefba4354ff","abstract_canon_sha256":"ead29c15e04b96f09aef23647fecc8ef5121021096d8751bd351ba7cd293f88d"},"schema_version":"1.0"},"canonical_sha256":"982eb1a9fae2e4b0acbcc3d9f1a38483791f0844e43522c57434925bc060747c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:28:47.529077Z","signature_b64":"1Ukp7R2nfyvsEEoRwe/ZXdrQACxO/WRu8UJM6d28/jNUY5L3aWvW7sc3zybsCLzZFdzEXjCHqalaDUaQypcHCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"982eb1a9fae2e4b0acbcc3d9f1a38483791f0844e43522c57434925bc060747c","last_reissued_at":"2026-07-05T08:28:47.528697Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:28:47.528697Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.04678","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":"2026-07-05T08:28:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r2vuBx+CQvMpTJA29ZE8XPEqV8kj4fV1v5sk13JsV8iAPyq899QVgFnb/wlQhKVs2Hlnw2vJj1ji3DkyD+paBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T06:20:04.085700Z"},"content_sha256":"debb8020ca23510f2db4290543edf62d9f08b39d9a0abbe6ab01b440a3afd2bb","schema_version":"1.0","event_id":"sha256:debb8020ca23510f2db4290543edf62d9f08b39d9a0abbe6ab01b440a3afd2bb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TAXLDKP24LSLBLF4YPM7DI4EQN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ACE Metric: Advection and Convection Evaluation for Accurate Weather Forecasting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Doyi Kim, Minseok Seo, Yeji Choi","submitted_at":"2024-06-07T06:49:59Z","abstract_excerpt":"Recently, data-driven weather forecasting methods have received significant attention for surpassing the RMSE performance of traditional NWP (Numerical Weather Prediction)-based methods. However, data-driven models are tuned to minimize the loss between forecasted data and ground truths, often using pixel-wise loss. This can lead to models that produce blurred outputs, which, despite being significantly different in detail from the actual weather conditions, still demonstrate low RMSE values. Although evaluation metrics from the computer vision field, such as PSNR, SSIM, and FVD, can be used, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.04678","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/2406.04678/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":"2026-07-05T08:28:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/vdfoHD3J1xok9igau1bmDo1oYdJ7dL9OuWy51Gcse1Q5CQ61H6w927HHi7XSOuM9DDx3TUt3t20H91tAcnXDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T06:20:04.086079Z"},"content_sha256":"907a2eb8260250201dcc9eee2b2decc4a0621ea44b60cd935dc6f33cdd78c80b","schema_version":"1.0","event_id":"sha256:907a2eb8260250201dcc9eee2b2decc4a0621ea44b60cd935dc6f33cdd78c80b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TAXLDKP24LSLBLF4YPM7DI4EQN/bundle.json","state_url":"https://pith.science/pith/TAXLDKP24LSLBLF4YPM7DI4EQN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TAXLDKP24LSLBLF4YPM7DI4EQN/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":"2026-07-26T06:20:04Z","links":{"resolver":"https://pith.science/pith/TAXLDKP24LSLBLF4YPM7DI4EQN","bundle":"https://pith.science/pith/TAXLDKP24LSLBLF4YPM7DI4EQN/bundle.json","state":"https://pith.science/pith/TAXLDKP24LSLBLF4YPM7DI4EQN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TAXLDKP24LSLBLF4YPM7DI4EQN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TAXLDKP24LSLBLF4YPM7DI4EQN","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":"ead29c15e04b96f09aef23647fecc8ef5121021096d8751bd351ba7cd293f88d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-07T06:49:59Z","title_canon_sha256":"1695293cccf6d8c6d5ca85207f36f8ac028f6eddc3cbb9bda0e68cefba4354ff"},"schema_version":"1.0","source":{"id":"2406.04678","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.04678","created_at":"2026-07-05T08:28:47Z"},{"alias_kind":"arxiv_version","alias_value":"2406.04678v1","created_at":"2026-07-05T08:28:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.04678","created_at":"2026-07-05T08:28:47Z"},{"alias_kind":"pith_short_12","alias_value":"TAXLDKP24LSL","created_at":"2026-07-05T08:28:47Z"},{"alias_kind":"pith_short_16","alias_value":"TAXLDKP24LSLBLF4","created_at":"2026-07-05T08:28:47Z"},{"alias_kind":"pith_short_8","alias_value":"TAXLDKP2","created_at":"2026-07-05T08:28:47Z"}],"graph_snapshots":[{"event_id":"sha256:907a2eb8260250201dcc9eee2b2decc4a0621ea44b60cd935dc6f33cdd78c80b","target":"graph","created_at":"2026-07-05T08:28:47Z","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/2406.04678/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, data-driven weather forecasting methods have received significant attention for surpassing the RMSE performance of traditional NWP (Numerical Weather Prediction)-based methods. However, data-driven models are tuned to minimize the loss between forecasted data and ground truths, often using pixel-wise loss. This can lead to models that produce blurred outputs, which, despite being significantly different in detail from the actual weather conditions, still demonstrate low RMSE values. Although evaluation metrics from the computer vision field, such as PSNR, SSIM, and FVD, can be used, ","authors_text":"Doyi Kim, Minseok Seo, Yeji Choi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-07T06:49:59Z","title":"ACE Metric: Advection and Convection Evaluation for Accurate Weather Forecasting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.04678","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:debb8020ca23510f2db4290543edf62d9f08b39d9a0abbe6ab01b440a3afd2bb","target":"record","created_at":"2026-07-05T08:28:47Z","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":"ead29c15e04b96f09aef23647fecc8ef5121021096d8751bd351ba7cd293f88d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-07T06:49:59Z","title_canon_sha256":"1695293cccf6d8c6d5ca85207f36f8ac028f6eddc3cbb9bda0e68cefba4354ff"},"schema_version":"1.0","source":{"id":"2406.04678","kind":"arxiv","version":1}},"canonical_sha256":"982eb1a9fae2e4b0acbcc3d9f1a38483791f0844e43522c57434925bc060747c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"982eb1a9fae2e4b0acbcc3d9f1a38483791f0844e43522c57434925bc060747c","first_computed_at":"2026-07-05T08:28:47.528697Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:28:47.528697Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1Ukp7R2nfyvsEEoRwe/ZXdrQACxO/WRu8UJM6d28/jNUY5L3aWvW7sc3zybsCLzZFdzEXjCHqalaDUaQypcHCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:28:47.529077Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.04678","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:debb8020ca23510f2db4290543edf62d9f08b39d9a0abbe6ab01b440a3afd2bb","sha256:907a2eb8260250201dcc9eee2b2decc4a0621ea44b60cd935dc6f33cdd78c80b"],"state_sha256":"34f306e7684929573b2a162d155e7d6a45f8b63d0110a7bd8a27b44901b51896"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SSQeF24Jx3hdh7VhYV28vOXd+sXuxAsQ4hIvzsTuHFhzTgv/WqNBTkVqy3hVZaMt7AehrQkON9bbA/sifuvRDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-26T06:20:04.088231Z","bundle_sha256":"f9e4068f9d8b65f63ef68e48c1dd9010b2bb82429fefae766e157df884b761e8"}}