{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:55ZNP4R7ZT34J3ZK6WXMV2E6PU","short_pith_number":"pith:55ZNP4R7","canonical_record":{"source":{"id":"2001.10474","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-01-28T17:31:23Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"e60702cf5b5906bb003574920d8d3e83bed711e5ba757fd4c60253598d8617ee","abstract_canon_sha256":"01e3ac5f24a2df56e73f42ac42339014154358efe2bca0076ccfd8db37808ea8"},"schema_version":"1.0"},"canonical_sha256":"ef72d7f23fccf7c4ef2af5aecae89e7d1b77e1f4f1719862e7f2d4d352ebcfc5","source":{"kind":"arxiv","id":"2001.10474","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.10474","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"arxiv_version","alias_value":"2001.10474v3","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.10474","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"pith_short_12","alias_value":"55ZNP4R7ZT34","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"pith_short_16","alias_value":"55ZNP4R7ZT34J3ZK","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"pith_short_8","alias_value":"55ZNP4R7","created_at":"2026-07-05T06:45:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:55ZNP4R7ZT34J3ZK6WXMV2E6PU","target":"record","payload":{"canonical_record":{"source":{"id":"2001.10474","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-01-28T17:31:23Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"e60702cf5b5906bb003574920d8d3e83bed711e5ba757fd4c60253598d8617ee","abstract_canon_sha256":"01e3ac5f24a2df56e73f42ac42339014154358efe2bca0076ccfd8db37808ea8"},"schema_version":"1.0"},"canonical_sha256":"ef72d7f23fccf7c4ef2af5aecae89e7d1b77e1f4f1719862e7f2d4d352ebcfc5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:45:55.771858Z","signature_b64":"oJFk/IP4mZ323R11I1wZXt3e8I/PFvnahw6qeCbArg8Y/UZRDT8LPM+pQZKlu6CSG/PTOhJPwd79eonII7d2Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ef72d7f23fccf7c4ef2af5aecae89e7d1b77e1f4f1719862e7f2d4d352ebcfc5","last_reissued_at":"2026-07-05T06:45:55.771379Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:45:55.771379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2001.10474","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:45:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FL90pwEqKRiHFVr1W8gKVUEJbJpsrmT+vNgYEGJzWDtMbns8iFJac2/1tFXx1rvivT7ZIlDcOTXhQucEUipiAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:30:20.983397Z"},"content_sha256":"4d4deba8d10f9f701624bda7df1eb245cd020436aceb8ab29ea7cfc9f3091afe","schema_version":"1.0","event_id":"sha256:4d4deba8d10f9f701624bda7df1eb245cd020436aceb8ab29ea7cfc9f3091afe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:55ZNP4R7ZT34J3ZK6WXMV2E6PU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Coagent Networks Revisited","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","stat.ML"],"primary_cat":"cs.LG","authors_text":"Ahmadreza Moradipari, Matthew Riemer, Miao Liu, Modjtaba Shokrian Zini, Mohammad Pedramfar","submitted_at":"2020-01-28T17:31:23Z","abstract_excerpt":"Coagent networks formalize the concept of arbitrary networks of stochastic agents that collaborate to take actions in a reinforcement learning environment. Prominent examples of coagent networks in action include approaches to hierarchical reinforcement learning (HRL), such as those using options, which attempt to address the exploration exploitation trade-off by introducing abstract actions at different levels by sequencing multiple stochastic networks within the HRL agents. We first provide a unifying perspective on the many diverse examples that fall under coagent networks. We do so by form"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.10474","kind":"arxiv","version":3},"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/2001.10474/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":"2026-07-05T06:45:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tZg0S/pvGI19f2+kXS76Q0INO2iZpnUCIflWFw3PgfnVUT4qq/gAsw42A4ghr/Mmi0Sr+OStlxNe+TkFMEzoCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:30:20.983946Z"},"content_sha256":"773b7d45d4630e90bc65c95ebc499009ab75e0f50a44a002c3391da2c8212fea","schema_version":"1.0","event_id":"sha256:773b7d45d4630e90bc65c95ebc499009ab75e0f50a44a002c3391da2c8212fea"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/55ZNP4R7ZT34J3ZK6WXMV2E6PU/bundle.json","state_url":"https://pith.science/pith/55ZNP4R7ZT34J3ZK6WXMV2E6PU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/55ZNP4R7ZT34J3ZK6WXMV2E6PU/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":"2026-08-04T17:30:20Z","links":{"resolver":"https://pith.science/pith/55ZNP4R7ZT34J3ZK6WXMV2E6PU","bundle":"https://pith.science/pith/55ZNP4R7ZT34J3ZK6WXMV2E6PU/bundle.json","state":"https://pith.science/pith/55ZNP4R7ZT34J3ZK6WXMV2E6PU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/55ZNP4R7ZT34J3ZK6WXMV2E6PU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:55ZNP4R7ZT34J3ZK6WXMV2E6PU","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":"01e3ac5f24a2df56e73f42ac42339014154358efe2bca0076ccfd8db37808ea8","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-01-28T17:31:23Z","title_canon_sha256":"e60702cf5b5906bb003574920d8d3e83bed711e5ba757fd4c60253598d8617ee"},"schema_version":"1.0","source":{"id":"2001.10474","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.10474","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"arxiv_version","alias_value":"2001.10474v3","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.10474","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"pith_short_12","alias_value":"55ZNP4R7ZT34","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"pith_short_16","alias_value":"55ZNP4R7ZT34J3ZK","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"pith_short_8","alias_value":"55ZNP4R7","created_at":"2026-07-05T06:45:55Z"}],"graph_snapshots":[{"event_id":"sha256:773b7d45d4630e90bc65c95ebc499009ab75e0f50a44a002c3391da2c8212fea","target":"graph","created_at":"2026-07-05T06:45:55Z","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/2001.10474/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Coagent networks formalize the concept of arbitrary networks of stochastic agents that collaborate to take actions in a reinforcement learning environment. Prominent examples of coagent networks in action include approaches to hierarchical reinforcement learning (HRL), such as those using options, which attempt to address the exploration exploitation trade-off by introducing abstract actions at different levels by sequencing multiple stochastic networks within the HRL agents. We first provide a unifying perspective on the many diverse examples that fall under coagent networks. We do so by form","authors_text":"Ahmadreza Moradipari, Matthew Riemer, Miao Liu, Modjtaba Shokrian Zini, Mohammad Pedramfar","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-01-28T17:31:23Z","title":"Coagent Networks Revisited"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.10474","kind":"arxiv","version":3},"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":"sha256:4d4deba8d10f9f701624bda7df1eb245cd020436aceb8ab29ea7cfc9f3091afe","target":"record","created_at":"2026-07-05T06:45:55Z","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":"01e3ac5f24a2df56e73f42ac42339014154358efe2bca0076ccfd8db37808ea8","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-01-28T17:31:23Z","title_canon_sha256":"e60702cf5b5906bb003574920d8d3e83bed711e5ba757fd4c60253598d8617ee"},"schema_version":"1.0","source":{"id":"2001.10474","kind":"arxiv","version":3}},"canonical_sha256":"ef72d7f23fccf7c4ef2af5aecae89e7d1b77e1f4f1719862e7f2d4d352ebcfc5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ef72d7f23fccf7c4ef2af5aecae89e7d1b77e1f4f1719862e7f2d4d352ebcfc5","first_computed_at":"2026-07-05T06:45:55.771379Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:45:55.771379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oJFk/IP4mZ323R11I1wZXt3e8I/PFvnahw6qeCbArg8Y/UZRDT8LPM+pQZKlu6CSG/PTOhJPwd79eonII7d2Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:45:55.771858Z","signed_message":"canonical_sha256_bytes"},"source_id":"2001.10474","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4d4deba8d10f9f701624bda7df1eb245cd020436aceb8ab29ea7cfc9f3091afe","sha256:773b7d45d4630e90bc65c95ebc499009ab75e0f50a44a002c3391da2c8212fea"],"state_sha256":"ec2822ce12d1de0a311ae7e3cbf53900fcea60e756dc60be53be46ab039d0aec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jn3t2zfmBswnVuq35+A6tP7Tua1DvSSH55FsfSSEdybXbmGRRauY+lLftgvtqUdu+fFx+KavQLMxnySsJ0M+Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T17:30:20.987571Z","bundle_sha256":"10b5b8949699e032afc44aadd18bad3aa66b7d4f5ab17717b98ad3bba0f1808d"}}