{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:45CL7A52TJWM3DFXYFYSWVBESY","short_pith_number":"pith:45CL7A52","schema_version":"1.0","canonical_sha256":"e744bf83ba9a6ccd8cb7c1712b5424961fff97fbf4933cf96ca4a69f60db0b19","source":{"kind":"arxiv","id":"2606.29843","version":1},"attestation_state":"computed","paper":{"title":"Gappy Reconstruction of Bubbly Flows by Guided Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.soft"],"primary_cat":"physics.flu-dyn","authors_text":"Hridey Narula, Luca Biferale, Michele Buzzicotti, Prasad Perlekar, Tianyi Li","submitted_at":"2026-06-29T06:30:28Z","abstract_excerpt":"Experiments in multiphase flows are often limited in their ability to simultaneously obtain velocity measurements in different phases. At the same time, flow reconstruction from phase-limited measurements is a challenging problem due to the substantially different velocity statistics across the phases. We address this problem for buoyancy-driven bubbly flows in the pseudo-turbulence regime by using a guided diffusion model. We train the model using two-dimensional slices of the velocity field extracted from fully resolved three-dimensional direct numerical simulations. The model generates phys"},"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":"2606.29843","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2026-06-29T06:30:28Z","cross_cats_sorted":["cond-mat.soft"],"title_canon_sha256":"71c55ce50b7c7cad4c04b8afa5ea399ef3185de8b60531000dba373c4aeb02da","abstract_canon_sha256":"89bdb2f1733ebcfbe8dba1f566f2c77ac0a2e28cede239ab5d66995d9fd965e9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T02:17:37.710740Z","signature_b64":"x0JKrvJEviaZB32RuYYb70ZXtyb1KJ8IYspAZm90tGGrPe/4fq+v8NRzXc3zgQZsZDECMNJfT/C56y8HGfRXBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e744bf83ba9a6ccd8cb7c1712b5424961fff97fbf4933cf96ca4a69f60db0b19","last_reissued_at":"2026-06-30T02:17:37.710229Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T02:17:37.710229Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Gappy Reconstruction of Bubbly Flows by Guided Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.soft"],"primary_cat":"physics.flu-dyn","authors_text":"Hridey Narula, Luca Biferale, Michele Buzzicotti, Prasad Perlekar, Tianyi Li","submitted_at":"2026-06-29T06:30:28Z","abstract_excerpt":"Experiments in multiphase flows are often limited in their ability to simultaneously obtain velocity measurements in different phases. At the same time, flow reconstruction from phase-limited measurements is a challenging problem due to the substantially different velocity statistics across the phases. We address this problem for buoyancy-driven bubbly flows in the pseudo-turbulence regime by using a guided diffusion model. We train the model using two-dimensional slices of the velocity field extracted from fully resolved three-dimensional direct numerical simulations. The model generates phys"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.29843","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/2606.29843/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":"2606.29843","created_at":"2026-06-30T02:17:37.710302+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.29843v1","created_at":"2026-06-30T02:17:37.710302+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.29843","created_at":"2026-06-30T02:17:37.710302+00:00"},{"alias_kind":"pith_short_12","alias_value":"45CL7A52TJWM","created_at":"2026-06-30T02:17:37.710302+00:00"},{"alias_kind":"pith_short_16","alias_value":"45CL7A52TJWM3DFX","created_at":"2026-06-30T02:17:37.710302+00:00"},{"alias_kind":"pith_short_8","alias_value":"45CL7A52","created_at":"2026-06-30T02:17:37.710302+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2606.29843","citing_title":"Gappy Reconstruction of Bubbly Flows by Guided Diffusion Models","ref_index":1,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/45CL7A52TJWM3DFXYFYSWVBESY","json":"https://pith.science/pith/45CL7A52TJWM3DFXYFYSWVBESY.json","graph_json":"https://pith.science/api/pith-number/45CL7A52TJWM3DFXYFYSWVBESY/graph.json","events_json":"https://pith.science/api/pith-number/45CL7A52TJWM3DFXYFYSWVBESY/events.json","paper":"https://pith.science/paper/45CL7A52"},"agent_actions":{"view_html":"https://pith.science/pith/45CL7A52TJWM3DFXYFYSWVBESY","download_json":"https://pith.science/pith/45CL7A52TJWM3DFXYFYSWVBESY.json","view_paper":"https://pith.science/paper/45CL7A52","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.29843&json=true","fetch_graph":"https://pith.science/api/pith-number/45CL7A52TJWM3DFXYFYSWVBESY/graph.json","fetch_events":"https://pith.science/api/pith-number/45CL7A52TJWM3DFXYFYSWVBESY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/45CL7A52TJWM3DFXYFYSWVBESY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/45CL7A52TJWM3DFXYFYSWVBESY/action/storage_attestation","attest_author":"https://pith.science/pith/45CL7A52TJWM3DFXYFYSWVBESY/action/author_attestation","sign_citation":"https://pith.science/pith/45CL7A52TJWM3DFXYFYSWVBESY/action/citation_signature","submit_replication":"https://pith.science/pith/45CL7A52TJWM3DFXYFYSWVBESY/action/replication_record"}},"created_at":"2026-06-30T02:17:37.710302+00:00","updated_at":"2026-06-30T02:17:37.710302+00:00"}