{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:GKQCBAAH6POHF7YMPYJANAKFYC","short_pith_number":"pith:GKQCBAAH","canonical_record":{"source":{"id":"2308.13289","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-fin.TR","submitted_at":"2023-08-25T10:26:43Z","cross_cats_sorted":["cs.AI","cs.CE","cs.LG"],"title_canon_sha256":"22eb56c121898e4e52c6b8d6e22ca07bffce411905c4b0454f68ff6aad791062","abstract_canon_sha256":"68b99b3c42ec2eaa131274c39bbf12c145fef751cc6118e2d901740ff1d4bdba"},"schema_version":"1.0"},"canonical_sha256":"32a0208007f3dc72ff0c7e12068145c0963962fd000a8ab589b9010339d04e01","source":{"kind":"arxiv","id":"2308.13289","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.13289","created_at":"2026-07-05T06:44:41Z"},{"alias_kind":"arxiv_version","alias_value":"2308.13289v1","created_at":"2026-07-05T06:44:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.13289","created_at":"2026-07-05T06:44:41Z"},{"alias_kind":"pith_short_12","alias_value":"GKQCBAAH6POH","created_at":"2026-07-05T06:44:41Z"},{"alias_kind":"pith_short_16","alias_value":"GKQCBAAH6POHF7YM","created_at":"2026-07-05T06:44:41Z"},{"alias_kind":"pith_short_8","alias_value":"GKQCBAAH","created_at":"2026-07-05T06:44:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:GKQCBAAH6POHF7YMPYJANAKFYC","target":"record","payload":{"canonical_record":{"source":{"id":"2308.13289","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-fin.TR","submitted_at":"2023-08-25T10:26:43Z","cross_cats_sorted":["cs.AI","cs.CE","cs.LG"],"title_canon_sha256":"22eb56c121898e4e52c6b8d6e22ca07bffce411905c4b0454f68ff6aad791062","abstract_canon_sha256":"68b99b3c42ec2eaa131274c39bbf12c145fef751cc6118e2d901740ff1d4bdba"},"schema_version":"1.0"},"canonical_sha256":"32a0208007f3dc72ff0c7e12068145c0963962fd000a8ab589b9010339d04e01","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:44:41.547015Z","signature_b64":"npsTFxVsBmCxgxvruxxTy9D1kE2McfmvDu74eSlElZixjkVgHjw4+Az5kRGdBb74on+lQ6CXeGj7AvFV5vaoBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"32a0208007f3dc72ff0c7e12068145c0963962fd000a8ab589b9010339d04e01","last_reissued_at":"2026-07-05T06:44:41.546583Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:44:41.546583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.13289","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":"2026-07-05T06:44:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/cFZVpjiU5+6DxKqcxCUi8ngA+gF+3l8Pq2dqlYDYCDaTJDuy082lLoIAri1uw06sTmRFMzFVLYPQrWrKDRxBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T05:50:12.831662Z"},"content_sha256":"1838cab31298e5ae391153b7d105d06909837c2d415cf8903d60e8fb43bb13fe","schema_version":"1.0","event_id":"sha256:1838cab31298e5ae391153b7d105d06909837c2d415cf8903d60e8fb43bb13fe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:GKQCBAAH6POHF7YMPYJANAKFYC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CE","cs.LG"],"primary_cat":"q-fin.TR","authors_text":"Anisoara Calinescu, Chris Lu, Jakob Foerster, Kang Li, Peer Nagy, Sascha Frey, Silvia Sapora, Stefan Zohren","submitted_at":"2023-08-25T10:26:43Z","abstract_excerpt":"Financial exchanges across the world use limit order books (LOBs) to process orders and match trades. For research purposes it is important to have large scale efficient simulators of LOB dynamics. LOB simulators have previously been implemented in the context of agent-based models (ABMs), reinforcement learning (RL) environments, and generative models, processing order flows from historical data sets and hand-crafted agents alike. For many applications, there is a requirement for processing multiple books, either for the calibration of ABMs or for the training of RL agents. We showcase the fi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.13289","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/2308.13289/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":"2026-07-05T06:44:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fqZhShfNDm1u6mGL7iD1cHPEgO/d0o7vwm+NTv5GeI6rrRaDOFkFo3wFyZJ6CZ6sqS7x2BH4gKP4dAp3L/k2AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T05:50:12.832190Z"},"content_sha256":"fed73228a6b578594265a07161f5a89542106f4a30944cac194e68b0e5435fc8","schema_version":"1.0","event_id":"sha256:fed73228a6b578594265a07161f5a89542106f4a30944cac194e68b0e5435fc8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GKQCBAAH6POHF7YMPYJANAKFYC/bundle.json","state_url":"https://pith.science/pith/GKQCBAAH6POHF7YMPYJANAKFYC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GKQCBAAH6POHF7YMPYJANAKFYC/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":"2026-08-11T05:50:12Z","links":{"resolver":"https://pith.science/pith/GKQCBAAH6POHF7YMPYJANAKFYC","bundle":"https://pith.science/pith/GKQCBAAH6POHF7YMPYJANAKFYC/bundle.json","state":"https://pith.science/pith/GKQCBAAH6POHF7YMPYJANAKFYC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GKQCBAAH6POHF7YMPYJANAKFYC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:GKQCBAAH6POHF7YMPYJANAKFYC","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":"68b99b3c42ec2eaa131274c39bbf12c145fef751cc6118e2d901740ff1d4bdba","cross_cats_sorted":["cs.AI","cs.CE","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-fin.TR","submitted_at":"2023-08-25T10:26:43Z","title_canon_sha256":"22eb56c121898e4e52c6b8d6e22ca07bffce411905c4b0454f68ff6aad791062"},"schema_version":"1.0","source":{"id":"2308.13289","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.13289","created_at":"2026-07-05T06:44:41Z"},{"alias_kind":"arxiv_version","alias_value":"2308.13289v1","created_at":"2026-07-05T06:44:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.13289","created_at":"2026-07-05T06:44:41Z"},{"alias_kind":"pith_short_12","alias_value":"GKQCBAAH6POH","created_at":"2026-07-05T06:44:41Z"},{"alias_kind":"pith_short_16","alias_value":"GKQCBAAH6POHF7YM","created_at":"2026-07-05T06:44:41Z"},{"alias_kind":"pith_short_8","alias_value":"GKQCBAAH","created_at":"2026-07-05T06:44:41Z"}],"graph_snapshots":[{"event_id":"sha256:fed73228a6b578594265a07161f5a89542106f4a30944cac194e68b0e5435fc8","target":"graph","created_at":"2026-07-05T06:44:41Z","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/2308.13289/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Financial exchanges across the world use limit order books (LOBs) to process orders and match trades. For research purposes it is important to have large scale efficient simulators of LOB dynamics. LOB simulators have previously been implemented in the context of agent-based models (ABMs), reinforcement learning (RL) environments, and generative models, processing order flows from historical data sets and hand-crafted agents alike. For many applications, there is a requirement for processing multiple books, either for the calibration of ABMs or for the training of RL agents. We showcase the fi","authors_text":"Anisoara Calinescu, Chris Lu, Jakob Foerster, Kang Li, Peer Nagy, Sascha Frey, Silvia Sapora, Stefan Zohren","cross_cats":["cs.AI","cs.CE","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-fin.TR","submitted_at":"2023-08-25T10:26:43Z","title":"JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.13289","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":"sha256:1838cab31298e5ae391153b7d105d06909837c2d415cf8903d60e8fb43bb13fe","target":"record","created_at":"2026-07-05T06:44:41Z","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":"68b99b3c42ec2eaa131274c39bbf12c145fef751cc6118e2d901740ff1d4bdba","cross_cats_sorted":["cs.AI","cs.CE","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-fin.TR","submitted_at":"2023-08-25T10:26:43Z","title_canon_sha256":"22eb56c121898e4e52c6b8d6e22ca07bffce411905c4b0454f68ff6aad791062"},"schema_version":"1.0","source":{"id":"2308.13289","kind":"arxiv","version":1}},"canonical_sha256":"32a0208007f3dc72ff0c7e12068145c0963962fd000a8ab589b9010339d04e01","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"32a0208007f3dc72ff0c7e12068145c0963962fd000a8ab589b9010339d04e01","first_computed_at":"2026-07-05T06:44:41.546583Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:44:41.546583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"npsTFxVsBmCxgxvruxxTy9D1kE2McfmvDu74eSlElZixjkVgHjw4+Az5kRGdBb74on+lQ6CXeGj7AvFV5vaoBg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:44:41.547015Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.13289","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1838cab31298e5ae391153b7d105d06909837c2d415cf8903d60e8fb43bb13fe","sha256:fed73228a6b578594265a07161f5a89542106f4a30944cac194e68b0e5435fc8"],"state_sha256":"f907869eb7f1cc27a46a4f96b0c899615c0b5b41f32d86d08be6fabd1c5c487e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y5u445rJ4dJBUIku75IvxAzITcZnMXIXTkXcRrTXLBr81yvRj9pAmjmGamvzIE6yQCwAW4Ui6la7keM209zFAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T05:50:12.837712Z","bundle_sha256":"17106697128d9236ae152b1f73df0f76e3ebccbd0ab589cef6ca574db129e29f"}}