{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:BMJBWGLPWCJP5RH2EICMBXTXCG","short_pith_number":"pith:BMJBWGLP","canonical_record":{"source":{"id":"2211.09715","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2022-11-03T11:27:29Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6fe7ea0d9784ad0c3f91cf039714b3c20b89f866b000afd255f84478b7f86d48","abstract_canon_sha256":"029880574f39642568d9fab505c6428667e4348818ddb0bddaa6e306050554ee"},"schema_version":"1.0"},"canonical_sha256":"0b121b196fb092fec4fa2204c0de7711bc4ce52112c3cc8b60517bdf6fb9d84a","source":{"kind":"arxiv","id":"2211.09715","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.09715","created_at":"2026-07-05T06:20:38Z"},{"alias_kind":"arxiv_version","alias_value":"2211.09715v2","created_at":"2026-07-05T06:20:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.09715","created_at":"2026-07-05T06:20:38Z"},{"alias_kind":"pith_short_12","alias_value":"BMJBWGLPWCJP","created_at":"2026-07-05T06:20:38Z"},{"alias_kind":"pith_short_16","alias_value":"BMJBWGLPWCJP5RH2","created_at":"2026-07-05T06:20:38Z"},{"alias_kind":"pith_short_8","alias_value":"BMJBWGLP","created_at":"2026-07-05T06:20:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:BMJBWGLPWCJP5RH2EICMBXTXCG","target":"record","payload":{"canonical_record":{"source":{"id":"2211.09715","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2022-11-03T11:27:29Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6fe7ea0d9784ad0c3f91cf039714b3c20b89f866b000afd255f84478b7f86d48","abstract_canon_sha256":"029880574f39642568d9fab505c6428667e4348818ddb0bddaa6e306050554ee"},"schema_version":"1.0"},"canonical_sha256":"0b121b196fb092fec4fa2204c0de7711bc4ce52112c3cc8b60517bdf6fb9d84a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:20:38.281767Z","signature_b64":"a14+gsWcvHavemld9Z7xkmzUHYIdG7bUmTRBuEsnckqNxpEbkz2XMR4PzzcYv65J7unVnubb6xctxSpIvWsIBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0b121b196fb092fec4fa2204c0de7711bc4ce52112c3cc8b60517bdf6fb9d84a","last_reissued_at":"2026-07-05T06:20:38.281224Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:20:38.281224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.09715","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:20:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"awb/nUMgu5FlFkRfNgwP1mYjcbURAZByljFlDacdRdp5SdRP3jJksxsLMRVaMZZKr8bocIS3yyWqzDn/xMsXCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:02:36.609888Z"},"content_sha256":"089e1c466ec75a8fd08e8f0ca25b4c9b90adc4fd9b198ce99d409327b7924afb","schema_version":"1.0","event_id":"sha256:089e1c466ec75a8fd08e8f0ca25b4c9b90adc4fd9b198ce99d409327b7924afb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:BMJBWGLPWCJP5RH2EICMBXTXCG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Physics-informed neural networks for gravity currents reconstruction from limited data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"physics.flu-dyn","authors_text":"Micka\\\"el Delcey, S\\'ebastien Kiesgen de Richter, Yoann Cheny","submitted_at":"2022-11-03T11:27:29Z","abstract_excerpt":"The present work investigates the use of physics-informed neural networks (PINNs) for the 3D reconstruction of unsteady gravity currents from limited data. In the PINN context, the flow fields are reconstructed by training a neural network whose objective function penalizes the mismatch between the network predictions and the observed data and embeds the underlying equations using automatic differentiation. This study relies on a high-fidelity numerical experiment of the canonical lock-exchange configuration. This allows us to benchmark quantitatively the PINNs reconstruction capabilities on s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.09715","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/2211.09715/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":"2026-07-05T06:20:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YORv8PXfVbP8qs7peJ7ohhe8kQXBw6raZmgm397YvyVXw6uYy7wVbkLXosCq033R+c3U+k7wW9v1Ye6Pix/GDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:02:36.610289Z"},"content_sha256":"d81ef4f1f87ef3bac7324f5857c9f96aed5b56b75caa50522e8c5525161376e3","schema_version":"1.0","event_id":"sha256:d81ef4f1f87ef3bac7324f5857c9f96aed5b56b75caa50522e8c5525161376e3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BMJBWGLPWCJP5RH2EICMBXTXCG/bundle.json","state_url":"https://pith.science/pith/BMJBWGLPWCJP5RH2EICMBXTXCG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BMJBWGLPWCJP5RH2EICMBXTXCG/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":"2026-07-07T05:02:36Z","links":{"resolver":"https://pith.science/pith/BMJBWGLPWCJP5RH2EICMBXTXCG","bundle":"https://pith.science/pith/BMJBWGLPWCJP5RH2EICMBXTXCG/bundle.json","state":"https://pith.science/pith/BMJBWGLPWCJP5RH2EICMBXTXCG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BMJBWGLPWCJP5RH2EICMBXTXCG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:BMJBWGLPWCJP5RH2EICMBXTXCG","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":"029880574f39642568d9fab505c6428667e4348818ddb0bddaa6e306050554ee","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2022-11-03T11:27:29Z","title_canon_sha256":"6fe7ea0d9784ad0c3f91cf039714b3c20b89f866b000afd255f84478b7f86d48"},"schema_version":"1.0","source":{"id":"2211.09715","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.09715","created_at":"2026-07-05T06:20:38Z"},{"alias_kind":"arxiv_version","alias_value":"2211.09715v2","created_at":"2026-07-05T06:20:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.09715","created_at":"2026-07-05T06:20:38Z"},{"alias_kind":"pith_short_12","alias_value":"BMJBWGLPWCJP","created_at":"2026-07-05T06:20:38Z"},{"alias_kind":"pith_short_16","alias_value":"BMJBWGLPWCJP5RH2","created_at":"2026-07-05T06:20:38Z"},{"alias_kind":"pith_short_8","alias_value":"BMJBWGLP","created_at":"2026-07-05T06:20:38Z"}],"graph_snapshots":[{"event_id":"sha256:d81ef4f1f87ef3bac7324f5857c9f96aed5b56b75caa50522e8c5525161376e3","target":"graph","created_at":"2026-07-05T06:20:38Z","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/2211.09715/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The present work investigates the use of physics-informed neural networks (PINNs) for the 3D reconstruction of unsteady gravity currents from limited data. In the PINN context, the flow fields are reconstructed by training a neural network whose objective function penalizes the mismatch between the network predictions and the observed data and embeds the underlying equations using automatic differentiation. This study relies on a high-fidelity numerical experiment of the canonical lock-exchange configuration. This allows us to benchmark quantitatively the PINNs reconstruction capabilities on s","authors_text":"Micka\\\"el Delcey, S\\'ebastien Kiesgen de Richter, Yoann Cheny","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2022-11-03T11:27:29Z","title":"Physics-informed neural networks for gravity currents reconstruction from limited data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.09715","kind":"arxiv","version":2},"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":"sha256:089e1c466ec75a8fd08e8f0ca25b4c9b90adc4fd9b198ce99d409327b7924afb","target":"record","created_at":"2026-07-05T06:20:38Z","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":"029880574f39642568d9fab505c6428667e4348818ddb0bddaa6e306050554ee","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2022-11-03T11:27:29Z","title_canon_sha256":"6fe7ea0d9784ad0c3f91cf039714b3c20b89f866b000afd255f84478b7f86d48"},"schema_version":"1.0","source":{"id":"2211.09715","kind":"arxiv","version":2}},"canonical_sha256":"0b121b196fb092fec4fa2204c0de7711bc4ce52112c3cc8b60517bdf6fb9d84a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b121b196fb092fec4fa2204c0de7711bc4ce52112c3cc8b60517bdf6fb9d84a","first_computed_at":"2026-07-05T06:20:38.281224Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:20:38.281224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a14+gsWcvHavemld9Z7xkmzUHYIdG7bUmTRBuEsnckqNxpEbkz2XMR4PzzcYv65J7unVnubb6xctxSpIvWsIBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:20:38.281767Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.09715","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:089e1c466ec75a8fd08e8f0ca25b4c9b90adc4fd9b198ce99d409327b7924afb","sha256:d81ef4f1f87ef3bac7324f5857c9f96aed5b56b75caa50522e8c5525161376e3"],"state_sha256":"4d41d6a46c52c019202532dd7ab7a52f4cf064d22112a332dd018956fbda6db3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kXYH9N3o2cPmzxuPaTE3gPGw9S7dE32zv9QTi4Zdfi3fMQXAFj9cMMJZmUFVMQx6x6X07v7RQf+2Iz4lHRT/Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T05:02:36.613172Z","bundle_sha256":"ae2f83c1e25f579d5efecfa0de9c550710156cd2cf1428eb98906fa5d6630d4f"}}