{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:I3WEPS6KPOMYK4RPNAW7DI2S5T","short_pith_number":"pith:I3WEPS6K","canonical_record":{"source":{"id":"2305.17150","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2023-05-26T08:29:12Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"c13128bc7a43d4596f9015728135a61d51dafc330b062b9216bf1b8241194759","abstract_canon_sha256":"02e9651c970c9df99a8ef53dd0abe6cca1326e6200330a3d8e0ad1ef2c527759"},"schema_version":"1.0"},"canonical_sha256":"46ec47cbca7b9985722f682df1a352ecd6bf72aef15fee80a180ccbfa3cf7a69","source":{"kind":"arxiv","id":"2305.17150","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.17150","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"arxiv_version","alias_value":"2305.17150v1","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.17150","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"pith_short_12","alias_value":"I3WEPS6KPOMY","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"pith_short_16","alias_value":"I3WEPS6KPOMYK4RP","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"pith_short_8","alias_value":"I3WEPS6K","created_at":"2026-07-05T06:14:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:I3WEPS6KPOMYK4RPNAW7DI2S5T","target":"record","payload":{"canonical_record":{"source":{"id":"2305.17150","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2023-05-26T08:29:12Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"c13128bc7a43d4596f9015728135a61d51dafc330b062b9216bf1b8241194759","abstract_canon_sha256":"02e9651c970c9df99a8ef53dd0abe6cca1326e6200330a3d8e0ad1ef2c527759"},"schema_version":"1.0"},"canonical_sha256":"46ec47cbca7b9985722f682df1a352ecd6bf72aef15fee80a180ccbfa3cf7a69","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:14:24.800527Z","signature_b64":"dwajh8tLA/aFH8Y+cMS9hMZLH5MY8LmUoALhcyG0Egd86FADjKTcZ/JyQ5+ScXklBllLqAXVRmuj93IA4bq9Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"46ec47cbca7b9985722f682df1a352ecd6bf72aef15fee80a180ccbfa3cf7a69","last_reissued_at":"2026-07-05T06:14:24.800049Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:14:24.800049Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.17150","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":"2026-07-05T06:14:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/iqHKvAmuIdFwLNVKDHYKhw3q0o4b1tL+ZBg2tBKOxzicx0atl++IZwA7NekQJgrKs9rZvjpwbieMK7x5rM0DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T18:19:06.517074Z"},"content_sha256":"6b87cbdd74c95c70a72f70e07bc6d129e96f1f40a37324a4f2c31bcf349ac7a9","schema_version":"1.0","event_id":"sha256:6b87cbdd74c95c70a72f70e07bc6d129e96f1f40a37324a4f2c31bcf349ac7a9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:I3WEPS6KPOMYK4RPNAW7DI2S5T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ModelFLOWs-app: data-driven post-processing and reduced order modelling tools","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"cs.CE","authors_text":"A. Corrochano, A. Hetherington, E. Lazpita, E. Moira, E. Mu\\~noz, M. L\\'opez-Mart\\'in, P. D\\'iaz, R. Abad\\'ia-Heredia, S. Le Clainche","submitted_at":"2023-05-26T08:29:12Z","abstract_excerpt":"This article presents an innovative open-source software named ModelFLOWs-app, written in Python, which has been created and tested to generate precise and robust hybrid reduced order models (ROMs) fully data-driven. By integrating modal decomposition and deep learning methods in diverse ways, the software uncovers the fundamental patterns in dynamic systems. This acquired knowledge is then employed to enrich the comprehension of the underlying physics, reconstruct databases from limited measurements, and forecast the progression of system dynamics. These hybrid models combine experimental and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.17150","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/2305.17150/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":"2026-07-05T06:14:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"weFz/YK4KkDibw3NjGEwtEz0PKF/SJcjJ0YoGXnTdilt713rqGOZiEAGlrcC6/bM8NAWAfQEg5rsKwCZklTPDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T18:19:06.517904Z"},"content_sha256":"e11f36da3b3d27ab70f6382894fffb8d079f38a5ab4a760fbabfc3c149462b01","schema_version":"1.0","event_id":"sha256:e11f36da3b3d27ab70f6382894fffb8d079f38a5ab4a760fbabfc3c149462b01"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I3WEPS6KPOMYK4RPNAW7DI2S5T/bundle.json","state_url":"https://pith.science/pith/I3WEPS6KPOMYK4RPNAW7DI2S5T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I3WEPS6KPOMYK4RPNAW7DI2S5T/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":"2026-08-18T18:19:06Z","links":{"resolver":"https://pith.science/pith/I3WEPS6KPOMYK4RPNAW7DI2S5T","bundle":"https://pith.science/pith/I3WEPS6KPOMYK4RPNAW7DI2S5T/bundle.json","state":"https://pith.science/pith/I3WEPS6KPOMYK4RPNAW7DI2S5T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I3WEPS6KPOMYK4RPNAW7DI2S5T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:I3WEPS6KPOMYK4RPNAW7DI2S5T","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":"02e9651c970c9df99a8ef53dd0abe6cca1326e6200330a3d8e0ad1ef2c527759","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2023-05-26T08:29:12Z","title_canon_sha256":"c13128bc7a43d4596f9015728135a61d51dafc330b062b9216bf1b8241194759"},"schema_version":"1.0","source":{"id":"2305.17150","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.17150","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"arxiv_version","alias_value":"2305.17150v1","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.17150","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"pith_short_12","alias_value":"I3WEPS6KPOMY","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"pith_short_16","alias_value":"I3WEPS6KPOMYK4RP","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"pith_short_8","alias_value":"I3WEPS6K","created_at":"2026-07-05T06:14:24Z"}],"graph_snapshots":[{"event_id":"sha256:e11f36da3b3d27ab70f6382894fffb8d079f38a5ab4a760fbabfc3c149462b01","target":"graph","created_at":"2026-07-05T06:14:24Z","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/2305.17150/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This article presents an innovative open-source software named ModelFLOWs-app, written in Python, which has been created and tested to generate precise and robust hybrid reduced order models (ROMs) fully data-driven. By integrating modal decomposition and deep learning methods in diverse ways, the software uncovers the fundamental patterns in dynamic systems. This acquired knowledge is then employed to enrich the comprehension of the underlying physics, reconstruct databases from limited measurements, and forecast the progression of system dynamics. These hybrid models combine experimental and","authors_text":"A. Corrochano, A. Hetherington, E. Lazpita, E. Moira, E. Mu\\~noz, M. L\\'opez-Mart\\'in, P. D\\'iaz, R. Abad\\'ia-Heredia, S. Le Clainche","cross_cats":["cs.SY","eess.SY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2023-05-26T08:29:12Z","title":"ModelFLOWs-app: data-driven post-processing and reduced order modelling tools"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.17150","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":"sha256:6b87cbdd74c95c70a72f70e07bc6d129e96f1f40a37324a4f2c31bcf349ac7a9","target":"record","created_at":"2026-07-05T06:14:24Z","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":"02e9651c970c9df99a8ef53dd0abe6cca1326e6200330a3d8e0ad1ef2c527759","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2023-05-26T08:29:12Z","title_canon_sha256":"c13128bc7a43d4596f9015728135a61d51dafc330b062b9216bf1b8241194759"},"schema_version":"1.0","source":{"id":"2305.17150","kind":"arxiv","version":1}},"canonical_sha256":"46ec47cbca7b9985722f682df1a352ecd6bf72aef15fee80a180ccbfa3cf7a69","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"46ec47cbca7b9985722f682df1a352ecd6bf72aef15fee80a180ccbfa3cf7a69","first_computed_at":"2026-07-05T06:14:24.800049Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:14:24.800049Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dwajh8tLA/aFH8Y+cMS9hMZLH5MY8LmUoALhcyG0Egd86FADjKTcZ/JyQ5+ScXklBllLqAXVRmuj93IA4bq9Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:14:24.800527Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.17150","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b87cbdd74c95c70a72f70e07bc6d129e96f1f40a37324a4f2c31bcf349ac7a9","sha256:e11f36da3b3d27ab70f6382894fffb8d079f38a5ab4a760fbabfc3c149462b01"],"state_sha256":"f980d68edb790c92c137953bfb4a303b825723e9cc23b99deee89e0867ad131e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UwnkM2eFPSee5Gwh9sBanHHfwJfO+MKn7BwEClrzlp75a4t+8+mf2pak3J39agH+koBZxpv0V+xk4m87wFOzAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T18:19:06.524181Z","bundle_sha256":"9d76673b9a905988ba4579fdecc3ba91a14250dd045487e15a222cf849187f00"}}