{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:LUIDHR4M6HT7M2W23O7OFLESDY","short_pith_number":"pith:LUIDHR4M","canonical_record":{"source":{"id":"2605.25679","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2026-05-25T10:36:01Z","cross_cats_sorted":[],"title_canon_sha256":"01950d28985e699e0495a9236791edfce948e8cab63e6350f173ab209ceee63d","abstract_canon_sha256":"de8d81d916f32e0efc773ae30e9b6a73ab026e0072c1e009c98ddf6e236bec30"},"schema_version":"1.0"},"canonical_sha256":"5d1033c78cf1e7f66adadbbee2ac921e0b88655196702a80a66bfbb97a9e6d8b","source":{"kind":"arxiv","id":"2605.25679","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25679","created_at":"2026-05-26T02:04:49Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25679v1","created_at":"2026-05-26T02:04:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25679","created_at":"2026-05-26T02:04:49Z"},{"alias_kind":"pith_short_12","alias_value":"LUIDHR4M6HT7","created_at":"2026-05-26T02:04:49Z"},{"alias_kind":"pith_short_16","alias_value":"LUIDHR4M6HT7M2W2","created_at":"2026-05-26T02:04:49Z"},{"alias_kind":"pith_short_8","alias_value":"LUIDHR4M","created_at":"2026-05-26T02:04:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:LUIDHR4M6HT7M2W23O7OFLESDY","target":"record","payload":{"canonical_record":{"source":{"id":"2605.25679","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2026-05-25T10:36:01Z","cross_cats_sorted":[],"title_canon_sha256":"01950d28985e699e0495a9236791edfce948e8cab63e6350f173ab209ceee63d","abstract_canon_sha256":"de8d81d916f32e0efc773ae30e9b6a73ab026e0072c1e009c98ddf6e236bec30"},"schema_version":"1.0"},"canonical_sha256":"5d1033c78cf1e7f66adadbbee2ac921e0b88655196702a80a66bfbb97a9e6d8b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:04:49.827880Z","signature_b64":"KS37JEBaFAgo6cCzmhwZEmZwvf+FzrZhPUDuN5kkIZh/QnXSBGDSFkAUum6HCT09/yV91a9j5R6IaFdPzXVwAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5d1033c78cf1e7f66adadbbee2ac921e0b88655196702a80a66bfbb97a9e6d8b","last_reissued_at":"2026-05-26T02:04:49.827350Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:04:49.827350Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.25679","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":"2026-05-26T02:04:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2vhXHORwIPuuYrLi7vysyf3/HTQyXB65x/dFfWZfJc1tIvhTRjSH9gcwjCBYpbszhFCzBR55x4znqTKmO5hmDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T06:45:49.339068Z"},"content_sha256":"05bf3fd4a7a82c4c77a7634e33c629724835549504ec9eba0232a9cf5a25fd1b","schema_version":"1.0","event_id":"sha256:05bf3fd4a7a82c4c77a7634e33c629724835549504ec9eba0232a9cf5a25fd1b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:LUIDHR4M6HT7M2W23O7OFLESDY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Transformer-based Neural Operators for 3D Wind Field Prediction over Complex Mountainous Terrain","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.flu-dyn","authors_text":"Jiaxi Qi, Lyulin Kuang, Rita Zhang, Ruiyan Chen, Shengze Cai, Yong Liu, Yujia Zhang, Yuzhou Zhang","submitted_at":"2026-05-25T10:36:01Z","abstract_excerpt":"Accurate prediction of three-dimensional (3D) wind fields over complex mountainous terrain is essential for renewable energy deployment and regional weather modeling. Traditional computational fluid dynamics (CFD) simulations face two fundamental bottlenecks: expert-intensive mesh generation around irregular topography, and iterative solvers that require hours to days even on high-performance clusters. Recent neural operator approaches accelerate inference, but typically fail to resolve the sharp, localized velocity gradients induced by complex terrain features. Here, we present a transformer-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25679","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/2605.25679/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":"2026-05-26T02:04:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+dd1epSgYBvvs9hSepITHn0aJPLFFuT3U8aLiMjMMigX5SEtBcNnv31bqT2Jsih1OxzxPFDCXwa1JllS/DqSDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T06:45:49.339467Z"},"content_sha256":"b3552b8239da0bfbde81dcdb95da14b033af2bc3804799be01735ad229dbe573","schema_version":"1.0","event_id":"sha256:b3552b8239da0bfbde81dcdb95da14b033af2bc3804799be01735ad229dbe573"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LUIDHR4M6HT7M2W23O7OFLESDY/bundle.json","state_url":"https://pith.science/pith/LUIDHR4M6HT7M2W23O7OFLESDY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LUIDHR4M6HT7M2W23O7OFLESDY/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":"2026-06-03T06:45:49Z","links":{"resolver":"https://pith.science/pith/LUIDHR4M6HT7M2W23O7OFLESDY","bundle":"https://pith.science/pith/LUIDHR4M6HT7M2W23O7OFLESDY/bundle.json","state":"https://pith.science/pith/LUIDHR4M6HT7M2W23O7OFLESDY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LUIDHR4M6HT7M2W23O7OFLESDY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LUIDHR4M6HT7M2W23O7OFLESDY","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":"de8d81d916f32e0efc773ae30e9b6a73ab026e0072c1e009c98ddf6e236bec30","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2026-05-25T10:36:01Z","title_canon_sha256":"01950d28985e699e0495a9236791edfce948e8cab63e6350f173ab209ceee63d"},"schema_version":"1.0","source":{"id":"2605.25679","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25679","created_at":"2026-05-26T02:04:49Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25679v1","created_at":"2026-05-26T02:04:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25679","created_at":"2026-05-26T02:04:49Z"},{"alias_kind":"pith_short_12","alias_value":"LUIDHR4M6HT7","created_at":"2026-05-26T02:04:49Z"},{"alias_kind":"pith_short_16","alias_value":"LUIDHR4M6HT7M2W2","created_at":"2026-05-26T02:04:49Z"},{"alias_kind":"pith_short_8","alias_value":"LUIDHR4M","created_at":"2026-05-26T02:04:49Z"}],"graph_snapshots":[{"event_id":"sha256:b3552b8239da0bfbde81dcdb95da14b033af2bc3804799be01735ad229dbe573","target":"graph","created_at":"2026-05-26T02:04:49Z","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/2605.25679/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate prediction of three-dimensional (3D) wind fields over complex mountainous terrain is essential for renewable energy deployment and regional weather modeling. Traditional computational fluid dynamics (CFD) simulations face two fundamental bottlenecks: expert-intensive mesh generation around irregular topography, and iterative solvers that require hours to days even on high-performance clusters. Recent neural operator approaches accelerate inference, but typically fail to resolve the sharp, localized velocity gradients induced by complex terrain features. Here, we present a transformer-","authors_text":"Jiaxi Qi, Lyulin Kuang, Rita Zhang, Ruiyan Chen, Shengze Cai, Yong Liu, Yujia Zhang, Yuzhou Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2026-05-25T10:36:01Z","title":"Transformer-based Neural Operators for 3D Wind Field Prediction over Complex Mountainous Terrain"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25679","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":"sha256:05bf3fd4a7a82c4c77a7634e33c629724835549504ec9eba0232a9cf5a25fd1b","target":"record","created_at":"2026-05-26T02:04:49Z","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":"de8d81d916f32e0efc773ae30e9b6a73ab026e0072c1e009c98ddf6e236bec30","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2026-05-25T10:36:01Z","title_canon_sha256":"01950d28985e699e0495a9236791edfce948e8cab63e6350f173ab209ceee63d"},"schema_version":"1.0","source":{"id":"2605.25679","kind":"arxiv","version":1}},"canonical_sha256":"5d1033c78cf1e7f66adadbbee2ac921e0b88655196702a80a66bfbb97a9e6d8b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5d1033c78cf1e7f66adadbbee2ac921e0b88655196702a80a66bfbb97a9e6d8b","first_computed_at":"2026-05-26T02:04:49.827350Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:04:49.827350Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KS37JEBaFAgo6cCzmhwZEmZwvf+FzrZhPUDuN5kkIZh/QnXSBGDSFkAUum6HCT09/yV91a9j5R6IaFdPzXVwAw==","signature_status":"signed_v1","signed_at":"2026-05-26T02:04:49.827880Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.25679","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05bf3fd4a7a82c4c77a7634e33c629724835549504ec9eba0232a9cf5a25fd1b","sha256:b3552b8239da0bfbde81dcdb95da14b033af2bc3804799be01735ad229dbe573"],"state_sha256":"376e348eae531808d5ca2b9e71ecb8c3db468b924137df2e4086cefa8b369449"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a0xJrWx6yUMP31YPJ442s/vEtgUIuHaLYK9oS7r/5Ik4543YoshkWvr9aoW9cawKvv3SIqrRm2rCV4HdnFeVCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T06:45:49.341494Z","bundle_sha256":"0216b72de54831a3aab115f0a67f58fd5249b28f1c1d5ffb35b614c322334384"}}