{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:OI2MFS3US5G5R3DPGLKJF4JIXP","short_pith_number":"pith:OI2MFS3U","canonical_record":{"source":{"id":"2210.14790","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2022-10-26T15:37:39Z","cross_cats_sorted":[],"title_canon_sha256":"60faaf7094e8bda9ea8bf90155ca79ea79f46ac94269a54ae042b37252de291e","abstract_canon_sha256":"98bce10322bf06f67b982403edad714c8005d7cdfb83fb93509f2ff4ff163a28"},"schema_version":"1.0"},"canonical_sha256":"7234c2cb74974dd8ec6f32d492f128bbe2fd24091f7f844be90f805d391472cf","source":{"kind":"arxiv","id":"2210.14790","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.14790","created_at":"2026-07-05T06:20:20Z"},{"alias_kind":"arxiv_version","alias_value":"2210.14790v1","created_at":"2026-07-05T06:20:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.14790","created_at":"2026-07-05T06:20:20Z"},{"alias_kind":"pith_short_12","alias_value":"OI2MFS3US5G5","created_at":"2026-07-05T06:20:20Z"},{"alias_kind":"pith_short_16","alias_value":"OI2MFS3US5G5R3DP","created_at":"2026-07-05T06:20:20Z"},{"alias_kind":"pith_short_8","alias_value":"OI2MFS3U","created_at":"2026-07-05T06:20:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:OI2MFS3US5G5R3DPGLKJF4JIXP","target":"record","payload":{"canonical_record":{"source":{"id":"2210.14790","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2022-10-26T15:37:39Z","cross_cats_sorted":[],"title_canon_sha256":"60faaf7094e8bda9ea8bf90155ca79ea79f46ac94269a54ae042b37252de291e","abstract_canon_sha256":"98bce10322bf06f67b982403edad714c8005d7cdfb83fb93509f2ff4ff163a28"},"schema_version":"1.0"},"canonical_sha256":"7234c2cb74974dd8ec6f32d492f128bbe2fd24091f7f844be90f805d391472cf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:20:20.578566Z","signature_b64":"LEajoRoQjMpS59+8JvRTodAct0j5c5fhtizxNx5uHjdlNZV8VS18U8koSjxhIxYHESmoaIPWYQmjx1MNvsyyAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7234c2cb74974dd8ec6f32d492f128bbe2fd24091f7f844be90f805d391472cf","last_reissued_at":"2026-07-05T06:20:20.578064Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:20:20.578064Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.14790","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":"2026-07-05T06:20:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aPGGzfWnbYlykkXe+JJonnOC5BKdr68Ykqkl3cc63YZx+8SR+LF5xNRC4CC9iJNh5Ble4MtbrzKrdQI5Hdv7Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:17:01.364569Z"},"content_sha256":"97762b0425c547ad838352a42f9131f0061d4ad626e2d2ba1cfa84ff00a99fad","schema_version":"1.0","event_id":"sha256:97762b0425c547ad838352a42f9131f0061d4ad626e2d2ba1cfa84ff00a99fad"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:OI2MFS3US5G5R3DPGLKJF4JIXP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient prediction of turbulent flow quantities using a Bayesian hierarchical multifidelity model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"physics.flu-dyn","authors_text":"Philipp Schlatter, Saleh Rezaeiravesh, Timofey Mukha","submitted_at":"2022-10-26T15:37:39Z","abstract_excerpt":"High-fidelity scale-resolving simulations of turbulent flows quickly become prohibitively expensive, especially at high Reynolds numbers. As a remedy, we may use multifidelity models (MFM) to construct predictive models for flow quantities of interest (QoIs), with the purpose of uncertainty quantification, data fusion and optimization. For numerical simulation of turbulence, there is a hierarchy of methodologies ranked by accuracy and cost, which include several numerical/modeling parameters that control the predictive accuracy and robustness of the resulting outputs. Compatible with these spe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.14790","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/2210.14790/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":"2026-07-05T06:20:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qv0cgdWjHfblJYnHLkUtdZUhRtmrou5gtAK23LyaPQ97LEO9YppgO5SXaZNDghSLzHL1SrHlwK9JbS12cq9LCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:17:01.364938Z"},"content_sha256":"07c21bf09108ee4716a13b68f8e649dd73336cb83c7705fc321eae813ceceaed","schema_version":"1.0","event_id":"sha256:07c21bf09108ee4716a13b68f8e649dd73336cb83c7705fc321eae813ceceaed"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OI2MFS3US5G5R3DPGLKJF4JIXP/bundle.json","state_url":"https://pith.science/pith/OI2MFS3US5G5R3DPGLKJF4JIXP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OI2MFS3US5G5R3DPGLKJF4JIXP/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":"2026-07-06T20:17:01Z","links":{"resolver":"https://pith.science/pith/OI2MFS3US5G5R3DPGLKJF4JIXP","bundle":"https://pith.science/pith/OI2MFS3US5G5R3DPGLKJF4JIXP/bundle.json","state":"https://pith.science/pith/OI2MFS3US5G5R3DPGLKJF4JIXP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OI2MFS3US5G5R3DPGLKJF4JIXP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:OI2MFS3US5G5R3DPGLKJF4JIXP","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":"98bce10322bf06f67b982403edad714c8005d7cdfb83fb93509f2ff4ff163a28","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2022-10-26T15:37:39Z","title_canon_sha256":"60faaf7094e8bda9ea8bf90155ca79ea79f46ac94269a54ae042b37252de291e"},"schema_version":"1.0","source":{"id":"2210.14790","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.14790","created_at":"2026-07-05T06:20:20Z"},{"alias_kind":"arxiv_version","alias_value":"2210.14790v1","created_at":"2026-07-05T06:20:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.14790","created_at":"2026-07-05T06:20:20Z"},{"alias_kind":"pith_short_12","alias_value":"OI2MFS3US5G5","created_at":"2026-07-05T06:20:20Z"},{"alias_kind":"pith_short_16","alias_value":"OI2MFS3US5G5R3DP","created_at":"2026-07-05T06:20:20Z"},{"alias_kind":"pith_short_8","alias_value":"OI2MFS3U","created_at":"2026-07-05T06:20:20Z"}],"graph_snapshots":[{"event_id":"sha256:07c21bf09108ee4716a13b68f8e649dd73336cb83c7705fc321eae813ceceaed","target":"graph","created_at":"2026-07-05T06:20:20Z","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/2210.14790/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High-fidelity scale-resolving simulations of turbulent flows quickly become prohibitively expensive, especially at high Reynolds numbers. As a remedy, we may use multifidelity models (MFM) to construct predictive models for flow quantities of interest (QoIs), with the purpose of uncertainty quantification, data fusion and optimization. For numerical simulation of turbulence, there is a hierarchy of methodologies ranked by accuracy and cost, which include several numerical/modeling parameters that control the predictive accuracy and robustness of the resulting outputs. Compatible with these spe","authors_text":"Philipp Schlatter, Saleh Rezaeiravesh, Timofey Mukha","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2022-10-26T15:37:39Z","title":"Efficient prediction of turbulent flow quantities using a Bayesian hierarchical multifidelity model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.14790","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":"sha256:97762b0425c547ad838352a42f9131f0061d4ad626e2d2ba1cfa84ff00a99fad","target":"record","created_at":"2026-07-05T06:20:20Z","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":"98bce10322bf06f67b982403edad714c8005d7cdfb83fb93509f2ff4ff163a28","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2022-10-26T15:37:39Z","title_canon_sha256":"60faaf7094e8bda9ea8bf90155ca79ea79f46ac94269a54ae042b37252de291e"},"schema_version":"1.0","source":{"id":"2210.14790","kind":"arxiv","version":1}},"canonical_sha256":"7234c2cb74974dd8ec6f32d492f128bbe2fd24091f7f844be90f805d391472cf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7234c2cb74974dd8ec6f32d492f128bbe2fd24091f7f844be90f805d391472cf","first_computed_at":"2026-07-05T06:20:20.578064Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:20:20.578064Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LEajoRoQjMpS59+8JvRTodAct0j5c5fhtizxNx5uHjdlNZV8VS18U8koSjxhIxYHESmoaIPWYQmjx1MNvsyyAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:20:20.578566Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.14790","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:97762b0425c547ad838352a42f9131f0061d4ad626e2d2ba1cfa84ff00a99fad","sha256:07c21bf09108ee4716a13b68f8e649dd73336cb83c7705fc321eae813ceceaed"],"state_sha256":"793dea31ad755c9e4e31ca3ce2864d3207c6a617e150e6ea886d3b3c876db6c4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"svrp+C5muG9L6KiduTmt6tygR+fcdoC1WpLieZGlJrW+hlquuX1p5pvWo98t0KCGYMvpBEVnrm7+fr6vKe8eDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T20:17:01.367143Z","bundle_sha256":"01d33316060d415ad53046ad3ebdb08588180032be052cd117790be7c179cec9"}}