{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:WLJNW36X42JH5F43EO6KRMLROC","short_pith_number":"pith:WLJNW36X","canonical_record":{"source":{"id":"2301.13282","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2023-01-30T20:49:05Z","cross_cats_sorted":[],"title_canon_sha256":"2c6faab028e58460d7ce2d8243285458b1520a65510890086191a6abaf1093a9","abstract_canon_sha256":"79a2185bbea0b9ef9be5fac8f33365d2de52196f09545b8b81cfb4c9c473a3c2"},"schema_version":"1.0"},"canonical_sha256":"b2d2db6fd7e6927e979b23bca8b1717096f70d84fd2a04bb17ecd05c4b13e51f","source":{"kind":"arxiv","id":"2301.13282","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.13282","created_at":"2026-07-05T05:37:13Z"},{"alias_kind":"arxiv_version","alias_value":"2301.13282v1","created_at":"2026-07-05T05:37:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.13282","created_at":"2026-07-05T05:37:13Z"},{"alias_kind":"pith_short_12","alias_value":"WLJNW36X42JH","created_at":"2026-07-05T05:37:13Z"},{"alias_kind":"pith_short_16","alias_value":"WLJNW36X42JH5F43","created_at":"2026-07-05T05:37:13Z"},{"alias_kind":"pith_short_8","alias_value":"WLJNW36X","created_at":"2026-07-05T05:37:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:WLJNW36X42JH5F43EO6KRMLROC","target":"record","payload":{"canonical_record":{"source":{"id":"2301.13282","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2023-01-30T20:49:05Z","cross_cats_sorted":[],"title_canon_sha256":"2c6faab028e58460d7ce2d8243285458b1520a65510890086191a6abaf1093a9","abstract_canon_sha256":"79a2185bbea0b9ef9be5fac8f33365d2de52196f09545b8b81cfb4c9c473a3c2"},"schema_version":"1.0"},"canonical_sha256":"b2d2db6fd7e6927e979b23bca8b1717096f70d84fd2a04bb17ecd05c4b13e51f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:37:13.244583Z","signature_b64":"jVQoltahIIWc9/1M8HS9kC+Yg9jVRim2QrhGgpAFE0zvGbobAAn4wmQV95lREZbTetWxK9UNsgZqMFSn/fP5Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b2d2db6fd7e6927e979b23bca8b1717096f70d84fd2a04bb17ecd05c4b13e51f","last_reissued_at":"2026-07-05T05:37:13.244084Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:37:13.244084Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2301.13282","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":"2026-07-05T05:37:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k53821yvEFnIlbu/VbzA2nwlR1BymgsgIgTeiCoXoyR/0Z+ZoHNWi/MofqoOGp+gKXTICvZ51mTIOzSJheT8Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:38:04.572488Z"},"content_sha256":"0947d06dd236de1497bbe66bd9be59ded0fbbfda7365293a2b4b4990a07c6ec8","schema_version":"1.0","event_id":"sha256:0947d06dd236de1497bbe66bd9be59ded0fbbfda7365293a2b4b4990a07c6ec8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:WLJNW36X42JH5F43EO6KRMLROC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Pressure Reconstruction from the Measured Pressure Gradient Using Gaussian Process Regression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.flu-dyn","authors_text":"Qi Wang, Xiaofeng Liu, Zejian You","submitted_at":"2023-01-30T20:49:05Z","abstract_excerpt":"Many numerical algorithms have been established to reconstruct pressure fields from measured kinematic data with noise by Particle Image Velocimetry (PIV), such as the Pressure Poisson solver and the Omni-Directional Integration (ODI) method. This study adopts Gaussian Process Regression (GPR), a probabilistic framework with an intrinsic de-noising mechanism to tackle drawbacks of traditional Pressure Poisson solver and compares the performance with ODI. To evaluate the accuracy of the algorithm, GPR and ODI are tested in detail in a canonical setup of forced homogeneous isotropic turbulence f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.13282","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/2301.13282/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":"2026-07-05T05:37:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fMpUnOX8OLAn3UBEFZpsc/ng9Rqxyj6wYV4zpZHfzYDrDoVivyYqksxnErnaUAW/3J4JfzVuyJeMF8Puh2jWAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:38:04.574448Z"},"content_sha256":"67200714ac8479371819a102fec26c55ab3a613eecebfa3675cf6375f700d687","schema_version":"1.0","event_id":"sha256:67200714ac8479371819a102fec26c55ab3a613eecebfa3675cf6375f700d687"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WLJNW36X42JH5F43EO6KRMLROC/bundle.json","state_url":"https://pith.science/pith/WLJNW36X42JH5F43EO6KRMLROC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WLJNW36X42JH5F43EO6KRMLROC/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":"2026-08-07T10:38:04Z","links":{"resolver":"https://pith.science/pith/WLJNW36X42JH5F43EO6KRMLROC","bundle":"https://pith.science/pith/WLJNW36X42JH5F43EO6KRMLROC/bundle.json","state":"https://pith.science/pith/WLJNW36X42JH5F43EO6KRMLROC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WLJNW36X42JH5F43EO6KRMLROC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WLJNW36X42JH5F43EO6KRMLROC","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":"79a2185bbea0b9ef9be5fac8f33365d2de52196f09545b8b81cfb4c9c473a3c2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2023-01-30T20:49:05Z","title_canon_sha256":"2c6faab028e58460d7ce2d8243285458b1520a65510890086191a6abaf1093a9"},"schema_version":"1.0","source":{"id":"2301.13282","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.13282","created_at":"2026-07-05T05:37:13Z"},{"alias_kind":"arxiv_version","alias_value":"2301.13282v1","created_at":"2026-07-05T05:37:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.13282","created_at":"2026-07-05T05:37:13Z"},{"alias_kind":"pith_short_12","alias_value":"WLJNW36X42JH","created_at":"2026-07-05T05:37:13Z"},{"alias_kind":"pith_short_16","alias_value":"WLJNW36X42JH5F43","created_at":"2026-07-05T05:37:13Z"},{"alias_kind":"pith_short_8","alias_value":"WLJNW36X","created_at":"2026-07-05T05:37:13Z"}],"graph_snapshots":[{"event_id":"sha256:67200714ac8479371819a102fec26c55ab3a613eecebfa3675cf6375f700d687","target":"graph","created_at":"2026-07-05T05:37:13Z","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/2301.13282/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many numerical algorithms have been established to reconstruct pressure fields from measured kinematic data with noise by Particle Image Velocimetry (PIV), such as the Pressure Poisson solver and the Omni-Directional Integration (ODI) method. This study adopts Gaussian Process Regression (GPR), a probabilistic framework with an intrinsic de-noising mechanism to tackle drawbacks of traditional Pressure Poisson solver and compares the performance with ODI. To evaluate the accuracy of the algorithm, GPR and ODI are tested in detail in a canonical setup of forced homogeneous isotropic turbulence f","authors_text":"Qi Wang, Xiaofeng Liu, Zejian You","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2023-01-30T20:49:05Z","title":"Pressure Reconstruction from the Measured Pressure Gradient Using Gaussian Process Regression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.13282","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":"sha256:0947d06dd236de1497bbe66bd9be59ded0fbbfda7365293a2b4b4990a07c6ec8","target":"record","created_at":"2026-07-05T05:37:13Z","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":"79a2185bbea0b9ef9be5fac8f33365d2de52196f09545b8b81cfb4c9c473a3c2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2023-01-30T20:49:05Z","title_canon_sha256":"2c6faab028e58460d7ce2d8243285458b1520a65510890086191a6abaf1093a9"},"schema_version":"1.0","source":{"id":"2301.13282","kind":"arxiv","version":1}},"canonical_sha256":"b2d2db6fd7e6927e979b23bca8b1717096f70d84fd2a04bb17ecd05c4b13e51f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2d2db6fd7e6927e979b23bca8b1717096f70d84fd2a04bb17ecd05c4b13e51f","first_computed_at":"2026-07-05T05:37:13.244084Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:37:13.244084Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jVQoltahIIWc9/1M8HS9kC+Yg9jVRim2QrhGgpAFE0zvGbobAAn4wmQV95lREZbTetWxK9UNsgZqMFSn/fP5Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:37:13.244583Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.13282","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0947d06dd236de1497bbe66bd9be59ded0fbbfda7365293a2b4b4990a07c6ec8","sha256:67200714ac8479371819a102fec26c55ab3a613eecebfa3675cf6375f700d687"],"state_sha256":"3bf4b822e359daaffc9449e5d48788bc222bc388e7b45c47b854184da4a697be"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1grIWTegcrSJI/clLQeqBQtDzKjbK7jjxswc1tBZPm+aITyIKv/pgMIRuPiDZ5GGCZ+VS+GvYEz3wSviMnPvAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:38:04.584769Z","bundle_sha256":"9b0186c0a9d6e220da2b8e06ec83a8032a2cc43763d1e2c60567134e150c29f1"}}