{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:JRFQD62AMF65ATTE2ONR2MKCV7","short_pith_number":"pith:JRFQD62A","canonical_record":{"source":{"id":"2307.12453","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2023-07-23T23:16:09Z","cross_cats_sorted":[],"title_canon_sha256":"f4bd7dc15933b1320f8d4dc916ca159193576b0b7ded5e6ff8e686fa5af27f55","abstract_canon_sha256":"f6a78f7d13ca6a38ad3b7a789ba05f093bf5d890e69e4ac9da4827aeda4479e4"},"schema_version":"1.0"},"canonical_sha256":"4c4b01fb40617dd04e64d39b1d3142affa3475039cde0387530dc1e7e9aa4af7","source":{"kind":"arxiv","id":"2307.12453","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.12453","created_at":"2026-07-05T06:33:54Z"},{"alias_kind":"arxiv_version","alias_value":"2307.12453v1","created_at":"2026-07-05T06:33:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.12453","created_at":"2026-07-05T06:33:54Z"},{"alias_kind":"pith_short_12","alias_value":"JRFQD62AMF65","created_at":"2026-07-05T06:33:54Z"},{"alias_kind":"pith_short_16","alias_value":"JRFQD62AMF65ATTE","created_at":"2026-07-05T06:33:54Z"},{"alias_kind":"pith_short_8","alias_value":"JRFQD62A","created_at":"2026-07-05T06:33:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:JRFQD62AMF65ATTE2ONR2MKCV7","target":"record","payload":{"canonical_record":{"source":{"id":"2307.12453","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2023-07-23T23:16:09Z","cross_cats_sorted":[],"title_canon_sha256":"f4bd7dc15933b1320f8d4dc916ca159193576b0b7ded5e6ff8e686fa5af27f55","abstract_canon_sha256":"f6a78f7d13ca6a38ad3b7a789ba05f093bf5d890e69e4ac9da4827aeda4479e4"},"schema_version":"1.0"},"canonical_sha256":"4c4b01fb40617dd04e64d39b1d3142affa3475039cde0387530dc1e7e9aa4af7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:33:54.353206Z","signature_b64":"eu2bhaxUTbhwfnx+AYvQoi8vqtLKDFUj90fUp7UAAcaDF8lYkBduF8vE6QlaZHT7DFaR87SYrQBs55Kzw5FBCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4c4b01fb40617dd04e64d39b1d3142affa3475039cde0387530dc1e7e9aa4af7","last_reissued_at":"2026-07-05T06:33:54.352813Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:33:54.352813Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.12453","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":"2026-07-05T06:33:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qZD4ixwQYY7NEkaNIVT52ETHjFYl6jrUyJr8gE3A9Nju5jPPjyQawQ3UvkUH103xaJAyBEEYFmQAGvgyc7hdCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T06:40:23.807564Z"},"content_sha256":"a20ab9e08056920aac1b0fd8dccbabe8637f4a2318f28cd6446f32f43101ce19","schema_version":"1.0","event_id":"sha256:a20ab9e08056920aac1b0fd8dccbabe8637f4a2318f28cd6446f32f43101ce19"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:JRFQD62AMF65ATTE2ONR2MKCV7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Fidelity Data Assimilation For Physics Inspired Machine Learning In Uncertainty Quantification Of Fluid Turbulence Simulations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.flu-dyn","authors_text":"Minghan Chu, Weicheng Qian","submitted_at":"2023-07-23T23:16:09Z","abstract_excerpt":"Reliable prediction of turbulent flows is an important necessity across different fields of science and engineering. In Computational Fluid Dynamics (CFD) simulations, the most common type of models are eddy viscosity models that are computationally inexpensive but introduce a high degree of epistemic error. The Eigenspace Perturbation Method (EPM) attempts to quantify this predictive uncertainty via physics based perturbation in the spectral representation of the predictions. While the EPM outlines how to perturb, it does not address how much or even where to perturb. We address this need by "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.12453","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/2307.12453/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":"2026-07-05T06:33:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GyCBv1FYhkd+xwMIR3mxuQ31PARXmmHzF+IMmTSl52YoCy9qSwCMIQ6wqb3tfwYNIBLFQwXg+IexIwIBI92ODQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T06:40:23.807941Z"},"content_sha256":"df26bc008c2aa506f8a1020f131e2d813f00164ebc4243e2d39d7472cc906a73","schema_version":"1.0","event_id":"sha256:df26bc008c2aa506f8a1020f131e2d813f00164ebc4243e2d39d7472cc906a73"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JRFQD62AMF65ATTE2ONR2MKCV7/bundle.json","state_url":"https://pith.science/pith/JRFQD62AMF65ATTE2ONR2MKCV7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JRFQD62AMF65ATTE2ONR2MKCV7/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":"2026-07-09T06:40:23Z","links":{"resolver":"https://pith.science/pith/JRFQD62AMF65ATTE2ONR2MKCV7","bundle":"https://pith.science/pith/JRFQD62AMF65ATTE2ONR2MKCV7/bundle.json","state":"https://pith.science/pith/JRFQD62AMF65ATTE2ONR2MKCV7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JRFQD62AMF65ATTE2ONR2MKCV7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JRFQD62AMF65ATTE2ONR2MKCV7","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":"f6a78f7d13ca6a38ad3b7a789ba05f093bf5d890e69e4ac9da4827aeda4479e4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2023-07-23T23:16:09Z","title_canon_sha256":"f4bd7dc15933b1320f8d4dc916ca159193576b0b7ded5e6ff8e686fa5af27f55"},"schema_version":"1.0","source":{"id":"2307.12453","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.12453","created_at":"2026-07-05T06:33:54Z"},{"alias_kind":"arxiv_version","alias_value":"2307.12453v1","created_at":"2026-07-05T06:33:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.12453","created_at":"2026-07-05T06:33:54Z"},{"alias_kind":"pith_short_12","alias_value":"JRFQD62AMF65","created_at":"2026-07-05T06:33:54Z"},{"alias_kind":"pith_short_16","alias_value":"JRFQD62AMF65ATTE","created_at":"2026-07-05T06:33:54Z"},{"alias_kind":"pith_short_8","alias_value":"JRFQD62A","created_at":"2026-07-05T06:33:54Z"}],"graph_snapshots":[{"event_id":"sha256:df26bc008c2aa506f8a1020f131e2d813f00164ebc4243e2d39d7472cc906a73","target":"graph","created_at":"2026-07-05T06:33:54Z","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/2307.12453/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reliable prediction of turbulent flows is an important necessity across different fields of science and engineering. In Computational Fluid Dynamics (CFD) simulations, the most common type of models are eddy viscosity models that are computationally inexpensive but introduce a high degree of epistemic error. The Eigenspace Perturbation Method (EPM) attempts to quantify this predictive uncertainty via physics based perturbation in the spectral representation of the predictions. While the EPM outlines how to perturb, it does not address how much or even where to perturb. We address this need by ","authors_text":"Minghan Chu, Weicheng Qian","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2023-07-23T23:16:09Z","title":"Multi-Fidelity Data Assimilation For Physics Inspired Machine Learning In Uncertainty Quantification Of Fluid Turbulence Simulations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.12453","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:a20ab9e08056920aac1b0fd8dccbabe8637f4a2318f28cd6446f32f43101ce19","target":"record","created_at":"2026-07-05T06:33:54Z","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":"f6a78f7d13ca6a38ad3b7a789ba05f093bf5d890e69e4ac9da4827aeda4479e4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2023-07-23T23:16:09Z","title_canon_sha256":"f4bd7dc15933b1320f8d4dc916ca159193576b0b7ded5e6ff8e686fa5af27f55"},"schema_version":"1.0","source":{"id":"2307.12453","kind":"arxiv","version":1}},"canonical_sha256":"4c4b01fb40617dd04e64d39b1d3142affa3475039cde0387530dc1e7e9aa4af7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4c4b01fb40617dd04e64d39b1d3142affa3475039cde0387530dc1e7e9aa4af7","first_computed_at":"2026-07-05T06:33:54.352813Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:33:54.352813Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eu2bhaxUTbhwfnx+AYvQoi8vqtLKDFUj90fUp7UAAcaDF8lYkBduF8vE6QlaZHT7DFaR87SYrQBs55Kzw5FBCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:33:54.353206Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.12453","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a20ab9e08056920aac1b0fd8dccbabe8637f4a2318f28cd6446f32f43101ce19","sha256:df26bc008c2aa506f8a1020f131e2d813f00164ebc4243e2d39d7472cc906a73"],"state_sha256":"215fa5a5a44e4ba18c47e0f2b6feda182c2a26e5188744e9d4d5022a38833392"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"doXzvgwo/Fpr8ayfTkVBOxk2zGxF+FGPJx7252/SG1unInndp/WrKeqFucM6lDP9F9gjqOGSK8WdSUeXZ5LKBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T06:40:23.810644Z","bundle_sha256":"f84e7a6d8bf710fcd86fdfba2b15dfedb6267bea026f26e4f009199144ba1a0f"}}