{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:TXR7FE6X47GSCRG55IMHPEN2SV","short_pith_number":"pith:TXR7FE6X","canonical_record":{"source":{"id":"2111.05188","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-fin.CP","submitted_at":"2021-11-07T01:03:15Z","cross_cats_sorted":["cs.CE"],"title_canon_sha256":"d7a729489432879456ec6fa69d014ddd4c31b8c87f584d80d2c00392bf154ca9","abstract_canon_sha256":"8c704f784e95d53452e90d695fe6ba020e61b3380da829b6d1a674da1af248da"},"schema_version":"1.0"},"canonical_sha256":"9de3f293d7e7cd2144ddea187791ba95409eb2a59377615f3eb257791331da68","source":{"kind":"arxiv","id":"2111.05188","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.05188","created_at":"2026-07-05T03:30:22Z"},{"alias_kind":"arxiv_version","alias_value":"2111.05188v1","created_at":"2026-07-05T03:30:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.05188","created_at":"2026-07-05T03:30:22Z"},{"alias_kind":"pith_short_12","alias_value":"TXR7FE6X47GS","created_at":"2026-07-05T03:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"TXR7FE6X47GSCRG5","created_at":"2026-07-05T03:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"TXR7FE6X","created_at":"2026-07-05T03:30:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:TXR7FE6X47GSCRG55IMHPEN2SV","target":"record","payload":{"canonical_record":{"source":{"id":"2111.05188","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-fin.CP","submitted_at":"2021-11-07T01:03:15Z","cross_cats_sorted":["cs.CE"],"title_canon_sha256":"d7a729489432879456ec6fa69d014ddd4c31b8c87f584d80d2c00392bf154ca9","abstract_canon_sha256":"8c704f784e95d53452e90d695fe6ba020e61b3380da829b6d1a674da1af248da"},"schema_version":"1.0"},"canonical_sha256":"9de3f293d7e7cd2144ddea187791ba95409eb2a59377615f3eb257791331da68","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:30:22.398049Z","signature_b64":"NRipUFue7yq/qDqE8pnXBk/lqSxrBzH7U3k/ksCPxrJIDa2Vxxg6hfXz/YYNoVx0xzIjFw+wM2UTEz+wVXwQAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9de3f293d7e7cd2144ddea187791ba95409eb2a59377615f3eb257791331da68","last_reissued_at":"2026-07-05T03:30:22.397592Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:30:22.397592Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2111.05188","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":"2026-07-05T03:30:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pKZzGvjhEYLCLKfNSaD6zyX2i0RvKfEBIeogB72aqkZ43cotiu49rpNrrsppu24L2CH0XCLFVF/xbufXOidJDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T20:51:19.420107Z"},"content_sha256":"56fe0c2aa0824398cb682a8951ec744fdffd9ca49fc3e14319a1da94d2a5f175","schema_version":"1.0","event_id":"sha256:56fe0c2aa0824398cb682a8951ec744fdffd9ca49fc3e14319a1da94d2a5f175"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:TXR7FE6X47GSCRG55IMHPEN2SV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FinRL-Podracer: High Performance and Scalable Deep Reinforcement Learning for Quantitative Finance","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CE"],"primary_cat":"q-fin.CP","authors_text":"Anwar Walid, Jiahao Zheng, Jian Guo, Xiao-Yang Liu, Zechu Li, Zhaoran Wang","submitted_at":"2021-11-07T01:03:15Z","abstract_excerpt":"Machine learning techniques are playing more and more important roles in finance market investment. However, finance quantitative modeling with conventional supervised learning approaches has a number of limitations. The development of deep reinforcement learning techniques is partially addressing these issues. Unfortunately, the steep learning curve and the difficulty in quick modeling and agile development are impeding finance researchers from using deep reinforcement learning in quantitative trading. In this paper, we propose an RLOps in finance paradigm and present a FinRL-Podracer framewo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.05188","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/2111.05188/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":"2026-07-05T03:30:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pJTQy7SsejKWEUxuj6avsr1vz4oKJo4l9bcl0npelltIb0SE2IZ1UN5CGtH1WcLOroZTTKPPLPdDXBbpaztPBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T20:51:19.420501Z"},"content_sha256":"b0878597445a58ccb444ace2651ed78d6cb203689592b21e9de5ff031e1e67e1","schema_version":"1.0","event_id":"sha256:b0878597445a58ccb444ace2651ed78d6cb203689592b21e9de5ff031e1e67e1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TXR7FE6X47GSCRG55IMHPEN2SV/bundle.json","state_url":"https://pith.science/pith/TXR7FE6X47GSCRG55IMHPEN2SV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TXR7FE6X47GSCRG55IMHPEN2SV/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":"2026-07-08T20:51:19Z","links":{"resolver":"https://pith.science/pith/TXR7FE6X47GSCRG55IMHPEN2SV","bundle":"https://pith.science/pith/TXR7FE6X47GSCRG55IMHPEN2SV/bundle.json","state":"https://pith.science/pith/TXR7FE6X47GSCRG55IMHPEN2SV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TXR7FE6X47GSCRG55IMHPEN2SV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:TXR7FE6X47GSCRG55IMHPEN2SV","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":"8c704f784e95d53452e90d695fe6ba020e61b3380da829b6d1a674da1af248da","cross_cats_sorted":["cs.CE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-fin.CP","submitted_at":"2021-11-07T01:03:15Z","title_canon_sha256":"d7a729489432879456ec6fa69d014ddd4c31b8c87f584d80d2c00392bf154ca9"},"schema_version":"1.0","source":{"id":"2111.05188","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.05188","created_at":"2026-07-05T03:30:22Z"},{"alias_kind":"arxiv_version","alias_value":"2111.05188v1","created_at":"2026-07-05T03:30:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.05188","created_at":"2026-07-05T03:30:22Z"},{"alias_kind":"pith_short_12","alias_value":"TXR7FE6X47GS","created_at":"2026-07-05T03:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"TXR7FE6X47GSCRG5","created_at":"2026-07-05T03:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"TXR7FE6X","created_at":"2026-07-05T03:30:22Z"}],"graph_snapshots":[{"event_id":"sha256:b0878597445a58ccb444ace2651ed78d6cb203689592b21e9de5ff031e1e67e1","target":"graph","created_at":"2026-07-05T03:30:22Z","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/2111.05188/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning techniques are playing more and more important roles in finance market investment. However, finance quantitative modeling with conventional supervised learning approaches has a number of limitations. The development of deep reinforcement learning techniques is partially addressing these issues. Unfortunately, the steep learning curve and the difficulty in quick modeling and agile development are impeding finance researchers from using deep reinforcement learning in quantitative trading. In this paper, we propose an RLOps in finance paradigm and present a FinRL-Podracer framewo","authors_text":"Anwar Walid, Jiahao Zheng, Jian Guo, Xiao-Yang Liu, Zechu Li, Zhaoran Wang","cross_cats":["cs.CE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-fin.CP","submitted_at":"2021-11-07T01:03:15Z","title":"FinRL-Podracer: High Performance and Scalable Deep Reinforcement Learning for Quantitative Finance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.05188","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":"sha256:56fe0c2aa0824398cb682a8951ec744fdffd9ca49fc3e14319a1da94d2a5f175","target":"record","created_at":"2026-07-05T03:30:22Z","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":"8c704f784e95d53452e90d695fe6ba020e61b3380da829b6d1a674da1af248da","cross_cats_sorted":["cs.CE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-fin.CP","submitted_at":"2021-11-07T01:03:15Z","title_canon_sha256":"d7a729489432879456ec6fa69d014ddd4c31b8c87f584d80d2c00392bf154ca9"},"schema_version":"1.0","source":{"id":"2111.05188","kind":"arxiv","version":1}},"canonical_sha256":"9de3f293d7e7cd2144ddea187791ba95409eb2a59377615f3eb257791331da68","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9de3f293d7e7cd2144ddea187791ba95409eb2a59377615f3eb257791331da68","first_computed_at":"2026-07-05T03:30:22.397592Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:30:22.397592Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NRipUFue7yq/qDqE8pnXBk/lqSxrBzH7U3k/ksCPxrJIDa2Vxxg6hfXz/YYNoVx0xzIjFw+wM2UTEz+wVXwQAg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:30:22.398049Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.05188","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56fe0c2aa0824398cb682a8951ec744fdffd9ca49fc3e14319a1da94d2a5f175","sha256:b0878597445a58ccb444ace2651ed78d6cb203689592b21e9de5ff031e1e67e1"],"state_sha256":"f8c1683560b17d8ee1c86e6e5be8d425f190ec40ed45813db672a5685465beca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qmpqk9ef1/k5rMDHKsilbOK11C6FCeVDziH2fMalaegMbTyT9o9DOsOtePYR2Q14hpSlVTdXGGgwOX3/0HHCDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T20:51:19.422557Z","bundle_sha256":"684df05289c8b69932ebe91ae6a7f854234eaa69ef6c8a9a54697971e33e7156"}}