{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:6DQYJ5LMRYGU5OKIDMRACMT7DB","short_pith_number":"pith:6DQYJ5LM","schema_version":"1.0","canonical_sha256":"f0e184f56c8e0d4eb9481b2201327f18572b7416b04a34f87b3b80de1dbfc979","source":{"kind":"arxiv","id":"2505.11787","version":2},"attestation_state":"computed","paper":{"title":"Upstream history quantification and scale-decomposed energy analysis for weak-to-strong adverse-pressure-gradient turbulent boundary layers","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"physics.flu-dyn","authors_text":"Atharva Mahajan, Rahul Deshpande, Ricardo Vinuesa, Taygun R. Gungor, Yvan Maciel","submitted_at":"2025-05-17T01:56:30Z","abstract_excerpt":"The present study delineates the effects of pressure gradient history and local disequilibration on the small and large-scale energy in turbulent boundary layers (TBLs) imposed with a broad range of adverse-pressure-gradients (APG). This is made possible by analyzing four published high-fidelity APG TBL databases, which span weak to strong APGs and cover dynamic conditions ranging from near-equilibrium to strong disequilibrium. The influence of PG history on TBL statistics is quantified by the accumulated PG parameter ($\\overline{\\beta}$), proposed previously by Vinuesa et al. (2017) to study "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2505.11787","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2025-05-17T01:56:30Z","cross_cats_sorted":[],"title_canon_sha256":"bbbe60fedae0fa87cff17108e0dda41976f8f13bb56cf6c5ee6fa9bb7483f849","abstract_canon_sha256":"3ef840ae5610c5f2024acf68467363eba1e58d5ba4ad8bcf16a9594136bf7541"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:02:01.602600Z","signature_b64":"/zSgnRKb3BU7cq0YHnW6h+28e5M9UCYNjQ2Qcpdu2K9OSZEm/OyYBLTTCcDBd8mWKPhGKyd6EyzUEl+EDsx/Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f0e184f56c8e0d4eb9481b2201327f18572b7416b04a34f87b3b80de1dbfc979","last_reissued_at":"2026-07-05T12:02:01.602075Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:02:01.602075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Upstream history quantification and scale-decomposed energy analysis for weak-to-strong adverse-pressure-gradient turbulent boundary layers","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"physics.flu-dyn","authors_text":"Atharva Mahajan, Rahul Deshpande, Ricardo Vinuesa, Taygun R. Gungor, Yvan Maciel","submitted_at":"2025-05-17T01:56:30Z","abstract_excerpt":"The present study delineates the effects of pressure gradient history and local disequilibration on the small and large-scale energy in turbulent boundary layers (TBLs) imposed with a broad range of adverse-pressure-gradients (APG). This is made possible by analyzing four published high-fidelity APG TBL databases, which span weak to strong APGs and cover dynamic conditions ranging from near-equilibrium to strong disequilibrium. The influence of PG history on TBL statistics is quantified by the accumulated PG parameter ($\\overline{\\beta}$), proposed previously by Vinuesa et al. (2017) to study "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.11787","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/2505.11787/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2505.11787","created_at":"2026-07-05T12:02:01.602129+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.11787v2","created_at":"2026-07-05T12:02:01.602129+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.11787","created_at":"2026-07-05T12:02:01.602129+00:00"},{"alias_kind":"pith_short_12","alias_value":"6DQYJ5LMRYGU","created_at":"2026-07-05T12:02:01.602129+00:00"},{"alias_kind":"pith_short_16","alias_value":"6DQYJ5LMRYGU5OKI","created_at":"2026-07-05T12:02:01.602129+00:00"},{"alias_kind":"pith_short_8","alias_value":"6DQYJ5LM","created_at":"2026-07-05T12:02:01.602129+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6DQYJ5LMRYGU5OKIDMRACMT7DB","json":"https://pith.science/pith/6DQYJ5LMRYGU5OKIDMRACMT7DB.json","graph_json":"https://pith.science/api/pith-number/6DQYJ5LMRYGU5OKIDMRACMT7DB/graph.json","events_json":"https://pith.science/api/pith-number/6DQYJ5LMRYGU5OKIDMRACMT7DB/events.json","paper":"https://pith.science/paper/6DQYJ5LM"},"agent_actions":{"view_html":"https://pith.science/pith/6DQYJ5LMRYGU5OKIDMRACMT7DB","download_json":"https://pith.science/pith/6DQYJ5LMRYGU5OKIDMRACMT7DB.json","view_paper":"https://pith.science/paper/6DQYJ5LM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.11787&json=true","fetch_graph":"https://pith.science/api/pith-number/6DQYJ5LMRYGU5OKIDMRACMT7DB/graph.json","fetch_events":"https://pith.science/api/pith-number/6DQYJ5LMRYGU5OKIDMRACMT7DB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6DQYJ5LMRYGU5OKIDMRACMT7DB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6DQYJ5LMRYGU5OKIDMRACMT7DB/action/storage_attestation","attest_author":"https://pith.science/pith/6DQYJ5LMRYGU5OKIDMRACMT7DB/action/author_attestation","sign_citation":"https://pith.science/pith/6DQYJ5LMRYGU5OKIDMRACMT7DB/action/citation_signature","submit_replication":"https://pith.science/pith/6DQYJ5LMRYGU5OKIDMRACMT7DB/action/replication_record"}},"created_at":"2026-07-05T12:02:01.602129+00:00","updated_at":"2026-07-05T12:02:01.602129+00:00"}