{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:GGWT3ORO3RL6QNZGCE4MKY4HZH","short_pith_number":"pith:GGWT3ORO","canonical_record":{"source":{"id":"2211.01991","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-11-03T16:57:45Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2da95eef3bf3020da05efdcfa209880a7d02c87cd57461654408b2909ef22bb6","abstract_canon_sha256":"370723999cd51452e4cd163204db009eafb0da83e40f5fa0d6e9afa43ba15cce"},"schema_version":"1.0"},"canonical_sha256":"31ad3dba2edc57e837261138c56387c9cd17d3eacbb773280ecd4d3193a57ef1","source":{"kind":"arxiv","id":"2211.01991","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.01991","created_at":"2026-07-05T05:15:00Z"},{"alias_kind":"arxiv_version","alias_value":"2211.01991v2","created_at":"2026-07-05T05:15:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.01991","created_at":"2026-07-05T05:15:00Z"},{"alias_kind":"pith_short_12","alias_value":"GGWT3ORO3RL6","created_at":"2026-07-05T05:15:00Z"},{"alias_kind":"pith_short_16","alias_value":"GGWT3ORO3RL6QNZG","created_at":"2026-07-05T05:15:00Z"},{"alias_kind":"pith_short_8","alias_value":"GGWT3ORO","created_at":"2026-07-05T05:15:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:GGWT3ORO3RL6QNZGCE4MKY4HZH","target":"record","payload":{"canonical_record":{"source":{"id":"2211.01991","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-11-03T16:57:45Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2da95eef3bf3020da05efdcfa209880a7d02c87cd57461654408b2909ef22bb6","abstract_canon_sha256":"370723999cd51452e4cd163204db009eafb0da83e40f5fa0d6e9afa43ba15cce"},"schema_version":"1.0"},"canonical_sha256":"31ad3dba2edc57e837261138c56387c9cd17d3eacbb773280ecd4d3193a57ef1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:15:00.867860Z","signature_b64":"mw11Ik6lgBFRZAWzZYYnzCWc2fOlW1nZLUMMjZF4fQgs4/v1MQN6XUKyoMYZga9yHhOcPjAee4efKzhdti+wAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"31ad3dba2edc57e837261138c56387c9cd17d3eacbb773280ecd4d3193a57ef1","last_reissued_at":"2026-07-05T05:15:00.866493Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:15:00.866493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.01991","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":"2026-07-05T05:15:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4f5Pu8GCzjgZqI9tVD/QLG2Ms85BAmaWILzOx4lcw6qC4jQA9fNCNSsa5BSYwieMtK8hgSXWIuP4vWKZjGTWAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T12:16:32.110189Z"},"content_sha256":"f610e6061f3436486b8bd4e6c89b5ebc43a2b8b7a0dd18d735fe40f686954b98","schema_version":"1.0","event_id":"sha256:f610e6061f3436486b8bd4e6c89b5ebc43a2b8b7a0dd18d735fe40f686954b98"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:GGWT3ORO3RL6QNZGCE4MKY4HZH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Leveraging Fully Observable Policies for Learning under Partial Observability","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.RO","authors_text":"Andrea Baisero, Christopher Amato, Dian Wang, Hai Nguyen, Robert Platt","submitted_at":"2022-11-03T16:57:45Z","abstract_excerpt":"Reinforcement learning in partially observable domains is challenging due to the lack of observable state information. Thankfully, learning offline in a simulator with such state information is often possible. In particular, we propose a method for partially observable reinforcement learning that uses a fully observable policy (which we call a state expert) during offline training to improve online performance. Based on Soft Actor-Critic (SAC), our agent balances performing actions similar to the state expert and getting high returns under partial observability. Our approach can leverage the f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.01991","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/2211.01991/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":"2026-07-05T05:15:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sA9OqnsF8s2JxIlEW2ReP+PtDMTsA3viEMCOh4CS2Qe5m7ZzId2b3gTuuwU1mcJNhl9dvGYCiToFpZanoKCjDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T12:16:32.110574Z"},"content_sha256":"5e2c11655d243a914ee1cd003b3251c74109907d3e0d86ff418919e0e7dbed2e","schema_version":"1.0","event_id":"sha256:5e2c11655d243a914ee1cd003b3251c74109907d3e0d86ff418919e0e7dbed2e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GGWT3ORO3RL6QNZGCE4MKY4HZH/bundle.json","state_url":"https://pith.science/pith/GGWT3ORO3RL6QNZGCE4MKY4HZH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GGWT3ORO3RL6QNZGCE4MKY4HZH/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":"2026-07-05T12:16:32Z","links":{"resolver":"https://pith.science/pith/GGWT3ORO3RL6QNZGCE4MKY4HZH","bundle":"https://pith.science/pith/GGWT3ORO3RL6QNZGCE4MKY4HZH/bundle.json","state":"https://pith.science/pith/GGWT3ORO3RL6QNZGCE4MKY4HZH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GGWT3ORO3RL6QNZGCE4MKY4HZH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GGWT3ORO3RL6QNZGCE4MKY4HZH","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":"370723999cd51452e4cd163204db009eafb0da83e40f5fa0d6e9afa43ba15cce","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-11-03T16:57:45Z","title_canon_sha256":"2da95eef3bf3020da05efdcfa209880a7d02c87cd57461654408b2909ef22bb6"},"schema_version":"1.0","source":{"id":"2211.01991","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.01991","created_at":"2026-07-05T05:15:00Z"},{"alias_kind":"arxiv_version","alias_value":"2211.01991v2","created_at":"2026-07-05T05:15:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.01991","created_at":"2026-07-05T05:15:00Z"},{"alias_kind":"pith_short_12","alias_value":"GGWT3ORO3RL6","created_at":"2026-07-05T05:15:00Z"},{"alias_kind":"pith_short_16","alias_value":"GGWT3ORO3RL6QNZG","created_at":"2026-07-05T05:15:00Z"},{"alias_kind":"pith_short_8","alias_value":"GGWT3ORO","created_at":"2026-07-05T05:15:00Z"}],"graph_snapshots":[{"event_id":"sha256:5e2c11655d243a914ee1cd003b3251c74109907d3e0d86ff418919e0e7dbed2e","target":"graph","created_at":"2026-07-05T05:15:00Z","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/2211.01991/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reinforcement learning in partially observable domains is challenging due to the lack of observable state information. Thankfully, learning offline in a simulator with such state information is often possible. In particular, we propose a method for partially observable reinforcement learning that uses a fully observable policy (which we call a state expert) during offline training to improve online performance. Based on Soft Actor-Critic (SAC), our agent balances performing actions similar to the state expert and getting high returns under partial observability. Our approach can leverage the f","authors_text":"Andrea Baisero, Christopher Amato, Dian Wang, Hai Nguyen, Robert Platt","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-11-03T16:57:45Z","title":"Leveraging Fully Observable Policies for Learning under Partial Observability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.01991","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:f610e6061f3436486b8bd4e6c89b5ebc43a2b8b7a0dd18d735fe40f686954b98","target":"record","created_at":"2026-07-05T05:15:00Z","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":"370723999cd51452e4cd163204db009eafb0da83e40f5fa0d6e9afa43ba15cce","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-11-03T16:57:45Z","title_canon_sha256":"2da95eef3bf3020da05efdcfa209880a7d02c87cd57461654408b2909ef22bb6"},"schema_version":"1.0","source":{"id":"2211.01991","kind":"arxiv","version":2}},"canonical_sha256":"31ad3dba2edc57e837261138c56387c9cd17d3eacbb773280ecd4d3193a57ef1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"31ad3dba2edc57e837261138c56387c9cd17d3eacbb773280ecd4d3193a57ef1","first_computed_at":"2026-07-05T05:15:00.866493Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:15:00.866493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mw11Ik6lgBFRZAWzZYYnzCWc2fOlW1nZLUMMjZF4fQgs4/v1MQN6XUKyoMYZga9yHhOcPjAee4efKzhdti+wAg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:15:00.867860Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.01991","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f610e6061f3436486b8bd4e6c89b5ebc43a2b8b7a0dd18d735fe40f686954b98","sha256:5e2c11655d243a914ee1cd003b3251c74109907d3e0d86ff418919e0e7dbed2e"],"state_sha256":"1ef38dc37e7ddd49b8427a5eca0bba4c175adf604b113481fb0285000a16d953"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IAyWnUB3YFvVE1JA5IsDtGVlKXMYb+7QiorKCPBO2HDydXZbEDtiHmlb8dDkTNiHXpNTRnTDeFfNLujWtrZtDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T12:16:32.112504Z","bundle_sha256":"232d2cefb01be8fd776b53bd4b29082d3533911922aa27f9495ffc0c7a52042b"}}