{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:FJTOLSQ2YWNGG7QPVN54Q22ID3","short_pith_number":"pith:FJTOLSQ2","canonical_record":{"source":{"id":"2002.10667","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CR","submitted_at":"2020-02-25T04:59:24Z","cross_cats_sorted":[],"title_canon_sha256":"692c151188e551fac6ecefb6e448fdc2e132f4dfb9e92d1b9855a5704d930d2e","abstract_canon_sha256":"b95d69d42826007dfdc2b813310ad633ba329f8a5716f8421b6a22847a780881"},"schema_version":"1.0"},"canonical_sha256":"2a66e5ca1ac59a637e0fab7bc86b481ec41ca68c642917956b49e9d07a0abb1c","source":{"kind":"arxiv","id":"2002.10667","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.10667","created_at":"2026-07-05T00:43:58Z"},{"alias_kind":"arxiv_version","alias_value":"2002.10667v2","created_at":"2026-07-05T00:43:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.10667","created_at":"2026-07-05T00:43:58Z"},{"alias_kind":"pith_short_12","alias_value":"FJTOLSQ2YWNG","created_at":"2026-07-05T00:43:58Z"},{"alias_kind":"pith_short_16","alias_value":"FJTOLSQ2YWNGG7QP","created_at":"2026-07-05T00:43:58Z"},{"alias_kind":"pith_short_8","alias_value":"FJTOLSQ2","created_at":"2026-07-05T00:43:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:FJTOLSQ2YWNGG7QPVN54Q22ID3","target":"record","payload":{"canonical_record":{"source":{"id":"2002.10667","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CR","submitted_at":"2020-02-25T04:59:24Z","cross_cats_sorted":[],"title_canon_sha256":"692c151188e551fac6ecefb6e448fdc2e132f4dfb9e92d1b9855a5704d930d2e","abstract_canon_sha256":"b95d69d42826007dfdc2b813310ad633ba329f8a5716f8421b6a22847a780881"},"schema_version":"1.0"},"canonical_sha256":"2a66e5ca1ac59a637e0fab7bc86b481ec41ca68c642917956b49e9d07a0abb1c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:43:58.910808Z","signature_b64":"WFENAv0oFrdhixz7BquIRLO6K0VICeShRgti2/zQ9957Bq7bwIOhyBb+ndbWiPQnstX46k+yTulOmDV6B0xtCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2a66e5ca1ac59a637e0fab7bc86b481ec41ca68c642917956b49e9d07a0abb1c","last_reissued_at":"2026-07-05T00:43:58.910335Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:43:58.910335Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2002.10667","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:43:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tp72ESA//bALfxe1t651DYvLz/JXmXf8bbNctzJg/EGjoMan1rR981jHANXNPHZH6EUP1cT8RnNckF194jRiBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:34:43.570600Z"},"content_sha256":"a459969d9ee44b0e6802adfa9f555e57d64585a117ab064d0523839d2304a61b","schema_version":"1.0","event_id":"sha256:a459969d9ee44b0e6802adfa9f555e57d64585a117ab064d0523839d2304a61b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:FJTOLSQ2YWNGG7QPVN54Q22ID3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CybORG: An Autonomous Cyber Operations Research Gym","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Callum Baillie, David Bowman, Jonathon Schwartz, Junae Kim, Maxwell Standen, Michael Docking","submitted_at":"2020-02-25T04:59:24Z","abstract_excerpt":"Autonomous Cyber Operations (ACO) involves the consideration of blue team (defender) and red team (attacker) decision-making models in adversarial scenarios. To support the application of machine learning algorithms to solve this problem, and to encourage such practitioners to attend to problems in the ACO setting, a suitable gym (toolkit for experiments) is necessary. We introduce CybORG, a work-in-progress gym for ACO research. Driven by the need to efficiently support reinforcement learning to train adversarial decision-making models through simulation and emulation, our design differs from"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.10667","kind":"arxiv","version":2},"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/2002.10667/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":"2026-07-05T00:43:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iIpjCu2hqMdNxfltXSHK2INHlJ0ZenuajHi0lqS/VkzLd3FFqOVuq2c4Jc8EKa0aKFSOFxTpgsHrkeHbJpmUDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:34:43.571145Z"},"content_sha256":"aab3f0a2c8a1ffb4ee23ab5a89ff53f67313d3b9288750c28ac640dda47db61d","schema_version":"1.0","event_id":"sha256:aab3f0a2c8a1ffb4ee23ab5a89ff53f67313d3b9288750c28ac640dda47db61d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FJTOLSQ2YWNGG7QPVN54Q22ID3/bundle.json","state_url":"https://pith.science/pith/FJTOLSQ2YWNGG7QPVN54Q22ID3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FJTOLSQ2YWNGG7QPVN54Q22ID3/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":"2026-08-09T04:34:43Z","links":{"resolver":"https://pith.science/pith/FJTOLSQ2YWNGG7QPVN54Q22ID3","bundle":"https://pith.science/pith/FJTOLSQ2YWNGG7QPVN54Q22ID3/bundle.json","state":"https://pith.science/pith/FJTOLSQ2YWNGG7QPVN54Q22ID3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FJTOLSQ2YWNGG7QPVN54Q22ID3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:FJTOLSQ2YWNGG7QPVN54Q22ID3","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":"b95d69d42826007dfdc2b813310ad633ba329f8a5716f8421b6a22847a780881","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CR","submitted_at":"2020-02-25T04:59:24Z","title_canon_sha256":"692c151188e551fac6ecefb6e448fdc2e132f4dfb9e92d1b9855a5704d930d2e"},"schema_version":"1.0","source":{"id":"2002.10667","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.10667","created_at":"2026-07-05T00:43:58Z"},{"alias_kind":"arxiv_version","alias_value":"2002.10667v2","created_at":"2026-07-05T00:43:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.10667","created_at":"2026-07-05T00:43:58Z"},{"alias_kind":"pith_short_12","alias_value":"FJTOLSQ2YWNG","created_at":"2026-07-05T00:43:58Z"},{"alias_kind":"pith_short_16","alias_value":"FJTOLSQ2YWNGG7QP","created_at":"2026-07-05T00:43:58Z"},{"alias_kind":"pith_short_8","alias_value":"FJTOLSQ2","created_at":"2026-07-05T00:43:58Z"}],"graph_snapshots":[{"event_id":"sha256:aab3f0a2c8a1ffb4ee23ab5a89ff53f67313d3b9288750c28ac640dda47db61d","target":"graph","created_at":"2026-07-05T00:43:58Z","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/2002.10667/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autonomous Cyber Operations (ACO) involves the consideration of blue team (defender) and red team (attacker) decision-making models in adversarial scenarios. To support the application of machine learning algorithms to solve this problem, and to encourage such practitioners to attend to problems in the ACO setting, a suitable gym (toolkit for experiments) is necessary. We introduce CybORG, a work-in-progress gym for ACO research. Driven by the need to efficiently support reinforcement learning to train adversarial decision-making models through simulation and emulation, our design differs from","authors_text":"Callum Baillie, David Bowman, Jonathon Schwartz, Junae Kim, Maxwell Standen, Michael Docking","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CR","submitted_at":"2020-02-25T04:59:24Z","title":"CybORG: An Autonomous Cyber Operations Research Gym"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.10667","kind":"arxiv","version":2},"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:a459969d9ee44b0e6802adfa9f555e57d64585a117ab064d0523839d2304a61b","target":"record","created_at":"2026-07-05T00:43:58Z","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":"b95d69d42826007dfdc2b813310ad633ba329f8a5716f8421b6a22847a780881","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CR","submitted_at":"2020-02-25T04:59:24Z","title_canon_sha256":"692c151188e551fac6ecefb6e448fdc2e132f4dfb9e92d1b9855a5704d930d2e"},"schema_version":"1.0","source":{"id":"2002.10667","kind":"arxiv","version":2}},"canonical_sha256":"2a66e5ca1ac59a637e0fab7bc86b481ec41ca68c642917956b49e9d07a0abb1c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2a66e5ca1ac59a637e0fab7bc86b481ec41ca68c642917956b49e9d07a0abb1c","first_computed_at":"2026-07-05T00:43:58.910335Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:43:58.910335Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WFENAv0oFrdhixz7BquIRLO6K0VICeShRgti2/zQ9957Bq7bwIOhyBb+ndbWiPQnstX46k+yTulOmDV6B0xtCg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:43:58.910808Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.10667","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a459969d9ee44b0e6802adfa9f555e57d64585a117ab064d0523839d2304a61b","sha256:aab3f0a2c8a1ffb4ee23ab5a89ff53f67313d3b9288750c28ac640dda47db61d"],"state_sha256":"3dd2afc9ba99ab40c79115bb3bc981d508cf9f359bd42738fc023415261a906d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CSim8DgH0OMNoT9JuLdjn9TzhjeEEByeje5KzDvllqDu/W0x0SoYhronM/2Vl+GhHcWCAu8rDdKXw5kgI4kfAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T04:34:43.575351Z","bundle_sha256":"20405b91bc329df54752bcb54a6fcdec1ae201ff2b739b2af613d7387dd66c3f"}}