{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:MMQBOA3TCXVQGIW6ZSCJNWSBB3","short_pith_number":"pith:MMQBOA3T","canonical_record":{"source":{"id":"2107.12206","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2021-07-26T13:22:54Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"79cee779cf22e49b89d9f325e169a62328e8d52405751cbd5dd1d360ecff0348","abstract_canon_sha256":"dbccdbe760c1768604682aea6e70ed909ab1d7015a8cb6c3097a89e1cea0fade"},"schema_version":"1.0"},"canonical_sha256":"632017037315eb0322decc8496da410ec3d0c1590d82586beb93328efc75d6a1","source":{"kind":"arxiv","id":"2107.12206","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.12206","created_at":"2026-07-05T05:20:32Z"},{"alias_kind":"arxiv_version","alias_value":"2107.12206v4","created_at":"2026-07-05T05:20:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.12206","created_at":"2026-07-05T05:20:32Z"},{"alias_kind":"pith_short_12","alias_value":"MMQBOA3TCXVQ","created_at":"2026-07-05T05:20:32Z"},{"alias_kind":"pith_short_16","alias_value":"MMQBOA3TCXVQGIW6","created_at":"2026-07-05T05:20:32Z"},{"alias_kind":"pith_short_8","alias_value":"MMQBOA3T","created_at":"2026-07-05T05:20:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:MMQBOA3TCXVQGIW6ZSCJNWSBB3","target":"record","payload":{"canonical_record":{"source":{"id":"2107.12206","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2021-07-26T13:22:54Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"79cee779cf22e49b89d9f325e169a62328e8d52405751cbd5dd1d360ecff0348","abstract_canon_sha256":"dbccdbe760c1768604682aea6e70ed909ab1d7015a8cb6c3097a89e1cea0fade"},"schema_version":"1.0"},"canonical_sha256":"632017037315eb0322decc8496da410ec3d0c1590d82586beb93328efc75d6a1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:20:32.680987Z","signature_b64":"eRSIekLxSmZ6F4Hv6VZJvPcY0VexvRq382Mn+KwBKsI6BekMc6TAllzATcIrDOMusHT4r4bwl9R/dTMVF3UDCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"632017037315eb0322decc8496da410ec3d0c1590d82586beb93328efc75d6a1","last_reissued_at":"2026-07-05T05:20:32.680567Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:20:32.680567Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.12206","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:20:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3ElrhnKmZXXrjXWmePrTAmaDDfoyk18yBCX2SYD+k6bliNBuqL3VdK3bUjax5aDbY/tdgvkunAOWKGFhD9x6Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T09:35:26.101537Z"},"content_sha256":"f14d3f4a4a2c7a9b87149d0464e4d58d1c56c17ebb9ea9b8aa0d7945525f630b","schema_version":"1.0","event_id":"sha256:f14d3f4a4a2c7a9b87149d0464e4d58d1c56c17ebb9ea9b8aa0d7945525f630b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:MMQBOA3TCXVQGIW6ZSCJNWSBB3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A review on deep reinforcement learning for fluid mechanics: an update","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"physics.flu-dyn","authors_text":"Elie Hachem, Jonathan Viquerat, Philippe Meliga","submitted_at":"2021-07-26T13:22:54Z","abstract_excerpt":"In the past couple of years, the interest of the fluid mechanics community for deep reinforcement learning (DRL) techniques has increased at fast pace, leading to a growing bibliography on the topic. While the capabilities of DRL to solve complex decision-making problems make it a valuable tool for active flow control, recent publications also demonstrated applications to other fields, such as shape optimization or microfluidics. The present work aims at proposing an exhaustive review of the existing literature, and is a follow-up to our previous review on the topic. The contributions are regr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.12206","kind":"arxiv","version":4},"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/2107.12206/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":"2026-07-05T05:20:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tMnFjzWHhTdQ1LsqUdJvh3V6LdGOBTA6tJfwhNkYcyzOezJN46+C8pRUcNrwpDxN6CzpiR3y7fmaj6c1AoovDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T09:35:26.101927Z"},"content_sha256":"173bb702ee2f51211f4c3075919efbe93dea1e0fbdf3c85a2a3497d141101f55","schema_version":"1.0","event_id":"sha256:173bb702ee2f51211f4c3075919efbe93dea1e0fbdf3c85a2a3497d141101f55"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MMQBOA3TCXVQGIW6ZSCJNWSBB3/bundle.json","state_url":"https://pith.science/pith/MMQBOA3TCXVQGIW6ZSCJNWSBB3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MMQBOA3TCXVQGIW6ZSCJNWSBB3/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":"2026-07-14T09:35:26Z","links":{"resolver":"https://pith.science/pith/MMQBOA3TCXVQGIW6ZSCJNWSBB3","bundle":"https://pith.science/pith/MMQBOA3TCXVQGIW6ZSCJNWSBB3/bundle.json","state":"https://pith.science/pith/MMQBOA3TCXVQGIW6ZSCJNWSBB3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MMQBOA3TCXVQGIW6ZSCJNWSBB3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:MMQBOA3TCXVQGIW6ZSCJNWSBB3","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":"dbccdbe760c1768604682aea6e70ed909ab1d7015a8cb6c3097a89e1cea0fade","cross_cats_sorted":["physics.comp-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2021-07-26T13:22:54Z","title_canon_sha256":"79cee779cf22e49b89d9f325e169a62328e8d52405751cbd5dd1d360ecff0348"},"schema_version":"1.0","source":{"id":"2107.12206","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.12206","created_at":"2026-07-05T05:20:32Z"},{"alias_kind":"arxiv_version","alias_value":"2107.12206v4","created_at":"2026-07-05T05:20:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.12206","created_at":"2026-07-05T05:20:32Z"},{"alias_kind":"pith_short_12","alias_value":"MMQBOA3TCXVQ","created_at":"2026-07-05T05:20:32Z"},{"alias_kind":"pith_short_16","alias_value":"MMQBOA3TCXVQGIW6","created_at":"2026-07-05T05:20:32Z"},{"alias_kind":"pith_short_8","alias_value":"MMQBOA3T","created_at":"2026-07-05T05:20:32Z"}],"graph_snapshots":[{"event_id":"sha256:173bb702ee2f51211f4c3075919efbe93dea1e0fbdf3c85a2a3497d141101f55","target":"graph","created_at":"2026-07-05T05:20:32Z","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/2107.12206/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the past couple of years, the interest of the fluid mechanics community for deep reinforcement learning (DRL) techniques has increased at fast pace, leading to a growing bibliography on the topic. While the capabilities of DRL to solve complex decision-making problems make it a valuable tool for active flow control, recent publications also demonstrated applications to other fields, such as shape optimization or microfluidics. The present work aims at proposing an exhaustive review of the existing literature, and is a follow-up to our previous review on the topic. The contributions are regr","authors_text":"Elie Hachem, Jonathan Viquerat, Philippe Meliga","cross_cats":["physics.comp-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2021-07-26T13:22:54Z","title":"A review on deep reinforcement learning for fluid mechanics: an update"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.12206","kind":"arxiv","version":4},"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:f14d3f4a4a2c7a9b87149d0464e4d58d1c56c17ebb9ea9b8aa0d7945525f630b","target":"record","created_at":"2026-07-05T05:20:32Z","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":"dbccdbe760c1768604682aea6e70ed909ab1d7015a8cb6c3097a89e1cea0fade","cross_cats_sorted":["physics.comp-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2021-07-26T13:22:54Z","title_canon_sha256":"79cee779cf22e49b89d9f325e169a62328e8d52405751cbd5dd1d360ecff0348"},"schema_version":"1.0","source":{"id":"2107.12206","kind":"arxiv","version":4}},"canonical_sha256":"632017037315eb0322decc8496da410ec3d0c1590d82586beb93328efc75d6a1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"632017037315eb0322decc8496da410ec3d0c1590d82586beb93328efc75d6a1","first_computed_at":"2026-07-05T05:20:32.680567Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:20:32.680567Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eRSIekLxSmZ6F4Hv6VZJvPcY0VexvRq382Mn+KwBKsI6BekMc6TAllzATcIrDOMusHT4r4bwl9R/dTMVF3UDCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:20:32.680987Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.12206","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f14d3f4a4a2c7a9b87149d0464e4d58d1c56c17ebb9ea9b8aa0d7945525f630b","sha256:173bb702ee2f51211f4c3075919efbe93dea1e0fbdf3c85a2a3497d141101f55"],"state_sha256":"a1c7e51488b363b59bbb8e94abdf6c3a300957cdab3d7b2bc6c8f373a2c4bb52"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3q5/MiMmFMgFcArZ49ytCSZZW9q3AFG9ufhaQpHXFIVJFRIi0EKJrqKbydDSqRVewOZroi4szxDaeACy8LzwCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-14T09:35:26.104671Z","bundle_sha256":"330e0f6db07c43c12fffe8b4e0c766c11a6d598eeac362cb19f89c4cc835ca4d"}}