{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YAHSPD2QJDWTNYXQORMZJZ3XLT","short_pith_number":"pith:YAHSPD2Q","canonical_record":{"source":{"id":"2406.13627","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-19T15:20:28Z","cross_cats_sorted":["physics.ao-ph"],"title_canon_sha256":"f053cd129141e6f448ab5e49a30767bfb1eac977f0594300b724108646a39e6a","abstract_canon_sha256":"6229262cf60b69e1e1569495d477883e70e85b58b89693b165efc98110ba3532"},"schema_version":"1.0"},"canonical_sha256":"c00f278f5048ed36e2f0745994e7775cd948b6f75eef119f99fe324f978cec9e","source":{"kind":"arxiv","id":"2406.13627","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.13627","created_at":"2026-07-05T11:59:52Z"},{"alias_kind":"arxiv_version","alias_value":"2406.13627v2","created_at":"2026-07-05T11:59:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.13627","created_at":"2026-07-05T11:59:52Z"},{"alias_kind":"pith_short_12","alias_value":"YAHSPD2QJDWT","created_at":"2026-07-05T11:59:52Z"},{"alias_kind":"pith_short_16","alias_value":"YAHSPD2QJDWTNYXQ","created_at":"2026-07-05T11:59:52Z"},{"alias_kind":"pith_short_8","alias_value":"YAHSPD2Q","created_at":"2026-07-05T11:59:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YAHSPD2QJDWTNYXQORMZJZ3XLT","target":"record","payload":{"canonical_record":{"source":{"id":"2406.13627","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-19T15:20:28Z","cross_cats_sorted":["physics.ao-ph"],"title_canon_sha256":"f053cd129141e6f448ab5e49a30767bfb1eac977f0594300b724108646a39e6a","abstract_canon_sha256":"6229262cf60b69e1e1569495d477883e70e85b58b89693b165efc98110ba3532"},"schema_version":"1.0"},"canonical_sha256":"c00f278f5048ed36e2f0745994e7775cd948b6f75eef119f99fe324f978cec9e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:59:52.485801Z","signature_b64":"ZWpbXWE3Pd4erRl2pmsFTbleasnlogksdwy1Qfgfu/hyH4q+ZvyR3evfJjyM+dwzVp1l5RL2lp760LwJc2EbDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c00f278f5048ed36e2f0745994e7775cd948b6f75eef119f99fe324f978cec9e","last_reissued_at":"2026-07-05T11:59:52.485275Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:59:52.485275Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.13627","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:59:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k68FtDEQpi7qXnWD9MHDnFF8fGJntcskSUb8PKCYNUMIBmTlvNih1+sVSvk2iIfiFiUYCf4QSZptzmiPk4A1BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:13:39.365407Z"},"content_sha256":"7db7b8d4097ab4274699509596a202cd7af713e29f662f1f1f7ecb7feb3230a5","schema_version":"1.0","event_id":"sha256:7db7b8d4097ab4274699509596a202cd7af713e29f662f1f1f7ecb7feb3230a5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YAHSPD2QJDWTNYXQORMZJZ3XLT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Can AI be enabled to dynamical downscaling? A Latent Diffusion Model to mimic km-scale COSMO5.0\\_CLM9 simulations","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["physics.ao-ph"],"primary_cat":"cs.LG","authors_text":"Elena Tomasi, Gabriele Franch, Marco Cristoforetti","submitted_at":"2024-06-19T15:20:28Z","abstract_excerpt":"Downscaling techniques are one of the most prominent applications of Deep Learning (DL) in Earth System Modeling. A robust DL downscaling model can generate high-resolution fields from coarse-scale numerical model simulations, saving the timely and resourceful applications of regional/local models. Additionally, generative DL models have the potential to provide uncertainty information, by generating ensemble-like scenario pools, a task that is computationally prohibitive for traditional numerical simulations. In this study, we apply a Latent Diffusion Model (LDM) to downscale ERA5 data over I"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.13627","kind":"arxiv","version":2},"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/2406.13627/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":"2026-07-05T11:59:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p7x/OnWfUtnPV2B8pdSfvMSfrt1Aeo+OdQwu9DXZ2iOCKHpoo5mBOZ5YFwUqA62BBDkYbAv9h8NOvx2ytSVpCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:13:39.366270Z"},"content_sha256":"042a1de6376a41fce660f8098f4f59bd99e0f00c0111e49d9d9054545bd1f796","schema_version":"1.0","event_id":"sha256:042a1de6376a41fce660f8098f4f59bd99e0f00c0111e49d9d9054545bd1f796"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YAHSPD2QJDWTNYXQORMZJZ3XLT/bundle.json","state_url":"https://pith.science/pith/YAHSPD2QJDWTNYXQORMZJZ3XLT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YAHSPD2QJDWTNYXQORMZJZ3XLT/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":"2026-08-08T13:13:39Z","links":{"resolver":"https://pith.science/pith/YAHSPD2QJDWTNYXQORMZJZ3XLT","bundle":"https://pith.science/pith/YAHSPD2QJDWTNYXQORMZJZ3XLT/bundle.json","state":"https://pith.science/pith/YAHSPD2QJDWTNYXQORMZJZ3XLT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YAHSPD2QJDWTNYXQORMZJZ3XLT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YAHSPD2QJDWTNYXQORMZJZ3XLT","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":"6229262cf60b69e1e1569495d477883e70e85b58b89693b165efc98110ba3532","cross_cats_sorted":["physics.ao-ph"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-19T15:20:28Z","title_canon_sha256":"f053cd129141e6f448ab5e49a30767bfb1eac977f0594300b724108646a39e6a"},"schema_version":"1.0","source":{"id":"2406.13627","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.13627","created_at":"2026-07-05T11:59:52Z"},{"alias_kind":"arxiv_version","alias_value":"2406.13627v2","created_at":"2026-07-05T11:59:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.13627","created_at":"2026-07-05T11:59:52Z"},{"alias_kind":"pith_short_12","alias_value":"YAHSPD2QJDWT","created_at":"2026-07-05T11:59:52Z"},{"alias_kind":"pith_short_16","alias_value":"YAHSPD2QJDWTNYXQ","created_at":"2026-07-05T11:59:52Z"},{"alias_kind":"pith_short_8","alias_value":"YAHSPD2Q","created_at":"2026-07-05T11:59:52Z"}],"graph_snapshots":[{"event_id":"sha256:042a1de6376a41fce660f8098f4f59bd99e0f00c0111e49d9d9054545bd1f796","target":"graph","created_at":"2026-07-05T11:59:52Z","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/2406.13627/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Downscaling techniques are one of the most prominent applications of Deep Learning (DL) in Earth System Modeling. A robust DL downscaling model can generate high-resolution fields from coarse-scale numerical model simulations, saving the timely and resourceful applications of regional/local models. Additionally, generative DL models have the potential to provide uncertainty information, by generating ensemble-like scenario pools, a task that is computationally prohibitive for traditional numerical simulations. In this study, we apply a Latent Diffusion Model (LDM) to downscale ERA5 data over I","authors_text":"Elena Tomasi, Gabriele Franch, Marco Cristoforetti","cross_cats":["physics.ao-ph"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-19T15:20:28Z","title":"Can AI be enabled to dynamical downscaling? A Latent Diffusion Model to mimic km-scale COSMO5.0\\_CLM9 simulations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.13627","kind":"arxiv","version":2},"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":"sha256:7db7b8d4097ab4274699509596a202cd7af713e29f662f1f1f7ecb7feb3230a5","target":"record","created_at":"2026-07-05T11:59:52Z","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":"6229262cf60b69e1e1569495d477883e70e85b58b89693b165efc98110ba3532","cross_cats_sorted":["physics.ao-ph"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-19T15:20:28Z","title_canon_sha256":"f053cd129141e6f448ab5e49a30767bfb1eac977f0594300b724108646a39e6a"},"schema_version":"1.0","source":{"id":"2406.13627","kind":"arxiv","version":2}},"canonical_sha256":"c00f278f5048ed36e2f0745994e7775cd948b6f75eef119f99fe324f978cec9e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c00f278f5048ed36e2f0745994e7775cd948b6f75eef119f99fe324f978cec9e","first_computed_at":"2026-07-05T11:59:52.485275Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:59:52.485275Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZWpbXWE3Pd4erRl2pmsFTbleasnlogksdwy1Qfgfu/hyH4q+ZvyR3evfJjyM+dwzVp1l5RL2lp760LwJc2EbDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:59:52.485801Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.13627","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7db7b8d4097ab4274699509596a202cd7af713e29f662f1f1f7ecb7feb3230a5","sha256:042a1de6376a41fce660f8098f4f59bd99e0f00c0111e49d9d9054545bd1f796"],"state_sha256":"2c7243ff5ea15089d4e8fc021f831b4ca26fbbe15adb1609609d7d76ad3c65c6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A+X+y/kFPeSs365wKe47Vq8OKeKf71I7xtQ6KOwBmZXvtg48Pvev3Wo9K81Tnn0ueygtq1SIrx8ZSp8uuchICg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:13:39.371557Z","bundle_sha256":"df764a43ae49d42f4448f6958082030424f5c4064c64ecb1966ec369dc1690cd"}}