{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SDMMNWGYSIEDQACFK4YOBYUJVN","short_pith_number":"pith:SDMMNWGY","canonical_record":{"source":{"id":"2508.00645","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2025-08-01T14:03:41Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"19ffe2241d39913f1df263291a125fd3cdc560f61de9dc53e63b6241e70b6914","abstract_canon_sha256":"e4128c206d292f7429069c01fce814614f1d2bf21f478f1e066323496a56a493"},"schema_version":"1.0"},"canonical_sha256":"90d8c6d8d892083800455730e0e289ab4df5c71946fc812df0d7f09182a0c26d","source":{"kind":"arxiv","id":"2508.00645","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.00645","created_at":"2026-07-05T11:46:59Z"},{"alias_kind":"arxiv_version","alias_value":"2508.00645v1","created_at":"2026-07-05T11:46:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.00645","created_at":"2026-07-05T11:46:59Z"},{"alias_kind":"pith_short_12","alias_value":"SDMMNWGYSIED","created_at":"2026-07-05T11:46:59Z"},{"alias_kind":"pith_short_16","alias_value":"SDMMNWGYSIEDQACF","created_at":"2026-07-05T11:46:59Z"},{"alias_kind":"pith_short_8","alias_value":"SDMMNWGY","created_at":"2026-07-05T11:46:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SDMMNWGYSIEDQACFK4YOBYUJVN","target":"record","payload":{"canonical_record":{"source":{"id":"2508.00645","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2025-08-01T14:03:41Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"19ffe2241d39913f1df263291a125fd3cdc560f61de9dc53e63b6241e70b6914","abstract_canon_sha256":"e4128c206d292f7429069c01fce814614f1d2bf21f478f1e066323496a56a493"},"schema_version":"1.0"},"canonical_sha256":"90d8c6d8d892083800455730e0e289ab4df5c71946fc812df0d7f09182a0c26d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:46:59.609246Z","signature_b64":"H3LkIPuddLQwRrhLrkjRK3jjJUyEyNmWPhLWuovIdVTULhgvA6tIMMO9/ruanXpY3iMRnBtj+ekqTQXGzMAnDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"90d8c6d8d892083800455730e0e289ab4df5c71946fc812df0d7f09182a0c26d","last_reissued_at":"2026-07-05T11:46:59.608733Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:46:59.608733Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.00645","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":"2026-07-05T11:46:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O3EOLuXPN6S7cWbOx3ONC5gVW45f65KtwjAJ1+Xl1Z80msPYyc081VJeZO2i4hIzLrENHT2vRDQAomFtSzxOBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T13:49:59.709315Z"},"content_sha256":"42fba67789ac7285285d314f608dd60a99301512259f4b3e2fddb5de34c14ed9","schema_version":"1.0","event_id":"sha256:42fba67789ac7285285d314f608dd60a99301512259f4b3e2fddb5de34c14ed9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SDMMNWGYSIEDQACFK4YOBYUJVN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SmartFlow: A CFD-solver-agnostic deep reinforcement learning framework for computational fluid dynamics on HPC platforms","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"physics.flu-dyn","authors_text":"Andrea Beck, Bernat Font, Di Zhou, Felix Rodach, Francisco Alc\\'antara-\\'Avila, Jean Rabault, Jiawei Chen, Johan Larsson, Junle Liu, Maochao Xiao, Marius Kurz, Oriol Lehmkuhl, Pol Su\\'arez, Ricard Montal\\`a, Ricardo Vinuesa, Sergio Pirozzoli, Ting Zhu, Yuning Wang","submitted_at":"2025-08-01T14:03:41Z","abstract_excerpt":"Deep reinforcement learning (DRL) is emerging as a powerful tool for fluid-dynamics research, encompassing active flow control, autonomous navigation, turbulence modeling and discovery of novel numerical schemes. We introduce SmartFlow, a CFD-solver-agnostic framework for both single- and multi-agent DRL algorithms that can easily integrate with MPI-parallel CPU and GPU-accelerated solvers. Built on Relexi and SmartSOD2D, SmartFlow uses the SmartSim infrastructure library and our newly developed SmartRedis-MPI library to enable asynchronous, low-latency, in-memory communication between CFD sol"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.00645","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/2508.00645/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":"2026-07-05T11:46:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7p6pH+JtYtBRbzwgJqRu7A4hambOSuxzLsE8XeibtRw2fKywPo3GkDNBF9XsS+nUAiuPn5O9x07HyyisxwuIBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T13:49:59.709831Z"},"content_sha256":"297bd0970f3a2d408c67fe789b49f518a1e7008ef665f5c80b9d194f19d6445c","schema_version":"1.0","event_id":"sha256:297bd0970f3a2d408c67fe789b49f518a1e7008ef665f5c80b9d194f19d6445c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SDMMNWGYSIEDQACFK4YOBYUJVN/bundle.json","state_url":"https://pith.science/pith/SDMMNWGYSIEDQACFK4YOBYUJVN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SDMMNWGYSIEDQACFK4YOBYUJVN/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":"2026-08-13T13:49:59Z","links":{"resolver":"https://pith.science/pith/SDMMNWGYSIEDQACFK4YOBYUJVN","bundle":"https://pith.science/pith/SDMMNWGYSIEDQACFK4YOBYUJVN/bundle.json","state":"https://pith.science/pith/SDMMNWGYSIEDQACFK4YOBYUJVN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SDMMNWGYSIEDQACFK4YOBYUJVN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SDMMNWGYSIEDQACFK4YOBYUJVN","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":"e4128c206d292f7429069c01fce814614f1d2bf21f478f1e066323496a56a493","cross_cats_sorted":["physics.comp-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2025-08-01T14:03:41Z","title_canon_sha256":"19ffe2241d39913f1df263291a125fd3cdc560f61de9dc53e63b6241e70b6914"},"schema_version":"1.0","source":{"id":"2508.00645","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.00645","created_at":"2026-07-05T11:46:59Z"},{"alias_kind":"arxiv_version","alias_value":"2508.00645v1","created_at":"2026-07-05T11:46:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.00645","created_at":"2026-07-05T11:46:59Z"},{"alias_kind":"pith_short_12","alias_value":"SDMMNWGYSIED","created_at":"2026-07-05T11:46:59Z"},{"alias_kind":"pith_short_16","alias_value":"SDMMNWGYSIEDQACF","created_at":"2026-07-05T11:46:59Z"},{"alias_kind":"pith_short_8","alias_value":"SDMMNWGY","created_at":"2026-07-05T11:46:59Z"}],"graph_snapshots":[{"event_id":"sha256:297bd0970f3a2d408c67fe789b49f518a1e7008ef665f5c80b9d194f19d6445c","target":"graph","created_at":"2026-07-05T11:46:59Z","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/2508.00645/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep reinforcement learning (DRL) is emerging as a powerful tool for fluid-dynamics research, encompassing active flow control, autonomous navigation, turbulence modeling and discovery of novel numerical schemes. We introduce SmartFlow, a CFD-solver-agnostic framework for both single- and multi-agent DRL algorithms that can easily integrate with MPI-parallel CPU and GPU-accelerated solvers. Built on Relexi and SmartSOD2D, SmartFlow uses the SmartSim infrastructure library and our newly developed SmartRedis-MPI library to enable asynchronous, low-latency, in-memory communication between CFD sol","authors_text":"Andrea Beck, Bernat Font, Di Zhou, Felix Rodach, Francisco Alc\\'antara-\\'Avila, Jean Rabault, Jiawei Chen, Johan Larsson, Junle Liu, Maochao Xiao, Marius Kurz, Oriol Lehmkuhl, Pol Su\\'arez, Ricard Montal\\`a, Ricardo Vinuesa, Sergio Pirozzoli, Ting Zhu, Yuning Wang","cross_cats":["physics.comp-ph"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2025-08-01T14:03:41Z","title":"SmartFlow: A CFD-solver-agnostic deep reinforcement learning framework for computational fluid dynamics on HPC platforms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.00645","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":"sha256:42fba67789ac7285285d314f608dd60a99301512259f4b3e2fddb5de34c14ed9","target":"record","created_at":"2026-07-05T11:46:59Z","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":"e4128c206d292f7429069c01fce814614f1d2bf21f478f1e066323496a56a493","cross_cats_sorted":["physics.comp-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2025-08-01T14:03:41Z","title_canon_sha256":"19ffe2241d39913f1df263291a125fd3cdc560f61de9dc53e63b6241e70b6914"},"schema_version":"1.0","source":{"id":"2508.00645","kind":"arxiv","version":1}},"canonical_sha256":"90d8c6d8d892083800455730e0e289ab4df5c71946fc812df0d7f09182a0c26d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"90d8c6d8d892083800455730e0e289ab4df5c71946fc812df0d7f09182a0c26d","first_computed_at":"2026-07-05T11:46:59.608733Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:46:59.608733Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H3LkIPuddLQwRrhLrkjRK3jjJUyEyNmWPhLWuovIdVTULhgvA6tIMMO9/ruanXpY3iMRnBtj+ekqTQXGzMAnDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:46:59.609246Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.00645","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:42fba67789ac7285285d314f608dd60a99301512259f4b3e2fddb5de34c14ed9","sha256:297bd0970f3a2d408c67fe789b49f518a1e7008ef665f5c80b9d194f19d6445c"],"state_sha256":"786867ca8d9e3ab238da4511e9345b63a2ca89e8c87e6d9bfa3e9ab13c8cb2d1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y0KL4b80blruytEnf4f1R150GFVqpC2nVUaIaTUe8oehzZeIc9zgmNnQ+AfOp3O18d51d0g8qEn+JYXga2eTDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T13:49:59.715313Z","bundle_sha256":"8361f791350289e46581df29bb40226a3137149b99810e5fb2cc68f0621c22fb"}}