{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TNRK6HOLYE7LIVAGYIH7JEV3MC","short_pith_number":"pith:TNRK6HOL","canonical_record":{"source":{"id":"2410.02427","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2024-10-03T12:20:11Z","cross_cats_sorted":[],"title_canon_sha256":"657b9abda9f8a32def9299f06598dddc90ee40d73155d75967fc0b0204ec6123","abstract_canon_sha256":"f6a5922a2d4d02b7b90ec218b02d0d943db991aa40a443b12bea44c67f500d28"},"schema_version":"1.0"},"canonical_sha256":"9b62af1dcbc13eb45406c20ff492bb609e0b318396cc04aff06b618155752559","source":{"kind":"arxiv","id":"2410.02427","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.02427","created_at":"2026-07-05T09:35:52Z"},{"alias_kind":"arxiv_version","alias_value":"2410.02427v2","created_at":"2026-07-05T09:35:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.02427","created_at":"2026-07-05T09:35:52Z"},{"alias_kind":"pith_short_12","alias_value":"TNRK6HOLYE7L","created_at":"2026-07-05T09:35:52Z"},{"alias_kind":"pith_short_16","alias_value":"TNRK6HOLYE7LIVAG","created_at":"2026-07-05T09:35:52Z"},{"alias_kind":"pith_short_8","alias_value":"TNRK6HOL","created_at":"2026-07-05T09:35:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TNRK6HOLYE7LIVAGYIH7JEV3MC","target":"record","payload":{"canonical_record":{"source":{"id":"2410.02427","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2024-10-03T12:20:11Z","cross_cats_sorted":[],"title_canon_sha256":"657b9abda9f8a32def9299f06598dddc90ee40d73155d75967fc0b0204ec6123","abstract_canon_sha256":"f6a5922a2d4d02b7b90ec218b02d0d943db991aa40a443b12bea44c67f500d28"},"schema_version":"1.0"},"canonical_sha256":"9b62af1dcbc13eb45406c20ff492bb609e0b318396cc04aff06b618155752559","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:35:52.531484Z","signature_b64":"zFV636cBaCm7AXYxA6mFqwVjXhN/mlcHotR8DFhjeWfUZevl5foKKHSe4ByqTNN3tVij8NhlRHIY8eiZac/ABQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b62af1dcbc13eb45406c20ff492bb609e0b318396cc04aff06b618155752559","last_reissued_at":"2026-07-05T09:35:52.530816Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:35:52.530816Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.02427","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":"2026-07-05T09:35:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b4dMIK9jHddD64WUiWkPiMravgiTWABL1j0CYkdatrOZG1WkVqni/f5assQTeTuB16LNuSQti9YmmdOaX03kBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T22:59:04.500725Z"},"content_sha256":"9c7944c647519b03b5bf3e1673fdde9edaf847652f0bca2c12c09d1c54ca81e4","schema_version":"1.0","event_id":"sha256:9c7944c647519b03b5bf3e1673fdde9edaf847652f0bca2c12c09d1c54ca81e4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TNRK6HOLYE7LIVAGYIH7JEV3MC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Machine-learned flow estimation with sparse data -- exemplified for the rooftop of a UAV vertiport","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"physics.flu-dyn","authors_text":"Andrea Ianiro, Andrea Meil\\'an-Vila, Bernd R. Noack, Chang Hou, Gang Hu, Guy Y. Cornejo Maceda, Jialong Chen, Jingguo Chen, Luigi Marra, Peng Jiang, Stefano Discetti, Yutong Liu","submitted_at":"2024-10-03T12:20:11Z","abstract_excerpt":"We propose a physics-informed data-driven framework for urban wind estimation. This framework validates and incorporates the Reynolds number independence for flows under various working conditions, thus allowing the extrapolation for wind conditions far beyond the training data. Another key enabler is a machine-learned non-dimensionalized manifold from snapshot data. The velocity field is modeled using a double encoder-decoder approach. The first encoder normalizes data using the oncoming wind speed, while the second encoder projects this normalized data onto the isometric feature mapping mani"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.02427","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/2410.02427/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":"2026-07-05T09:35:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vWPkUBdzo5ZvFQ3x1XVMfUdD7yTezesq34IruTZaawOgnygs35brso7KK3iJ9BrRfDE6HjTmcOfwb8kVkt3uAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T22:59:04.501601Z"},"content_sha256":"240c9c3bcbf1e88baab959a1d02d500c680f4eafbc7d990c0debd6dafaea797d","schema_version":"1.0","event_id":"sha256:240c9c3bcbf1e88baab959a1d02d500c680f4eafbc7d990c0debd6dafaea797d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TNRK6HOLYE7LIVAGYIH7JEV3MC/bundle.json","state_url":"https://pith.science/pith/TNRK6HOLYE7LIVAGYIH7JEV3MC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TNRK6HOLYE7LIVAGYIH7JEV3MC/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":"2026-08-06T22:59:04Z","links":{"resolver":"https://pith.science/pith/TNRK6HOLYE7LIVAGYIH7JEV3MC","bundle":"https://pith.science/pith/TNRK6HOLYE7LIVAGYIH7JEV3MC/bundle.json","state":"https://pith.science/pith/TNRK6HOLYE7LIVAGYIH7JEV3MC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TNRK6HOLYE7LIVAGYIH7JEV3MC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TNRK6HOLYE7LIVAGYIH7JEV3MC","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":"f6a5922a2d4d02b7b90ec218b02d0d943db991aa40a443b12bea44c67f500d28","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2024-10-03T12:20:11Z","title_canon_sha256":"657b9abda9f8a32def9299f06598dddc90ee40d73155d75967fc0b0204ec6123"},"schema_version":"1.0","source":{"id":"2410.02427","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.02427","created_at":"2026-07-05T09:35:52Z"},{"alias_kind":"arxiv_version","alias_value":"2410.02427v2","created_at":"2026-07-05T09:35:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.02427","created_at":"2026-07-05T09:35:52Z"},{"alias_kind":"pith_short_12","alias_value":"TNRK6HOLYE7L","created_at":"2026-07-05T09:35:52Z"},{"alias_kind":"pith_short_16","alias_value":"TNRK6HOLYE7LIVAG","created_at":"2026-07-05T09:35:52Z"},{"alias_kind":"pith_short_8","alias_value":"TNRK6HOL","created_at":"2026-07-05T09:35:52Z"}],"graph_snapshots":[{"event_id":"sha256:240c9c3bcbf1e88baab959a1d02d500c680f4eafbc7d990c0debd6dafaea797d","target":"graph","created_at":"2026-07-05T09:35:52Z","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/2410.02427/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a physics-informed data-driven framework for urban wind estimation. This framework validates and incorporates the Reynolds number independence for flows under various working conditions, thus allowing the extrapolation for wind conditions far beyond the training data. Another key enabler is a machine-learned non-dimensionalized manifold from snapshot data. The velocity field is modeled using a double encoder-decoder approach. The first encoder normalizes data using the oncoming wind speed, while the second encoder projects this normalized data onto the isometric feature mapping mani","authors_text":"Andrea Ianiro, Andrea Meil\\'an-Vila, Bernd R. Noack, Chang Hou, Gang Hu, Guy Y. Cornejo Maceda, Jialong Chen, Jingguo Chen, Luigi Marra, Peng Jiang, Stefano Discetti, Yutong Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2024-10-03T12:20:11Z","title":"Machine-learned flow estimation with sparse data -- exemplified for the rooftop of a UAV vertiport"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.02427","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":"sha256:9c7944c647519b03b5bf3e1673fdde9edaf847652f0bca2c12c09d1c54ca81e4","target":"record","created_at":"2026-07-05T09:35:52Z","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":"f6a5922a2d4d02b7b90ec218b02d0d943db991aa40a443b12bea44c67f500d28","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2024-10-03T12:20:11Z","title_canon_sha256":"657b9abda9f8a32def9299f06598dddc90ee40d73155d75967fc0b0204ec6123"},"schema_version":"1.0","source":{"id":"2410.02427","kind":"arxiv","version":2}},"canonical_sha256":"9b62af1dcbc13eb45406c20ff492bb609e0b318396cc04aff06b618155752559","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9b62af1dcbc13eb45406c20ff492bb609e0b318396cc04aff06b618155752559","first_computed_at":"2026-07-05T09:35:52.530816Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:35:52.530816Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zFV636cBaCm7AXYxA6mFqwVjXhN/mlcHotR8DFhjeWfUZevl5foKKHSe4ByqTNN3tVij8NhlRHIY8eiZac/ABQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:35:52.531484Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.02427","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9c7944c647519b03b5bf3e1673fdde9edaf847652f0bca2c12c09d1c54ca81e4","sha256:240c9c3bcbf1e88baab959a1d02d500c680f4eafbc7d990c0debd6dafaea797d"],"state_sha256":"8846997bb09ac57b77dad0fb7250103294d45a6aefbe180fec8f5ae9ea201ea3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fIrqRA8ziRA4QjHWxVWmBFH0Z4/aUZ9eZ5VjO2Dhx9cj3tvjLMu40Ox8M3+4/8vG8WwJ3ht2b3X3a1EilNOtAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T22:59:04.507504Z","bundle_sha256":"25144e5e6d4a51e51d9efeee49362f58757b1b77486ba9e8245ddd44a1393b85"}}