{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:SEF5WDI2VXUJMV5AXWQB3KMONY","short_pith_number":"pith:SEF5WDI2","canonical_record":{"source":{"id":"2108.11645","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-08-26T08:27:10Z","cross_cats_sorted":[],"title_canon_sha256":"e79f11275549052a4876099c20dc38be1002bb6baee79722e5512934ef8af371","abstract_canon_sha256":"792c060e13da643329d9b8c841962ffa4908cb1a2a95e0465272e92f55a7a167"},"schema_version":"1.0"},"canonical_sha256":"910bdb0d1aade89657a0bda01da98e6e189927d2310a3ca34bb6112251e152f0","source":{"kind":"arxiv","id":"2108.11645","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.11645","created_at":"2026-07-05T03:23:48Z"},{"alias_kind":"arxiv_version","alias_value":"2108.11645v2","created_at":"2026-07-05T03:23:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.11645","created_at":"2026-07-05T03:23:48Z"},{"alias_kind":"pith_short_12","alias_value":"SEF5WDI2VXUJ","created_at":"2026-07-05T03:23:48Z"},{"alias_kind":"pith_short_16","alias_value":"SEF5WDI2VXUJMV5A","created_at":"2026-07-05T03:23:48Z"},{"alias_kind":"pith_short_8","alias_value":"SEF5WDI2","created_at":"2026-07-05T03:23:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:SEF5WDI2VXUJMV5AXWQB3KMONY","target":"record","payload":{"canonical_record":{"source":{"id":"2108.11645","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-08-26T08:27:10Z","cross_cats_sorted":[],"title_canon_sha256":"e79f11275549052a4876099c20dc38be1002bb6baee79722e5512934ef8af371","abstract_canon_sha256":"792c060e13da643329d9b8c841962ffa4908cb1a2a95e0465272e92f55a7a167"},"schema_version":"1.0"},"canonical_sha256":"910bdb0d1aade89657a0bda01da98e6e189927d2310a3ca34bb6112251e152f0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:23:48.831105Z","signature_b64":"bWj6vSuNj7G7YZ7DBbKUHVNMO7MgpLIwIKbq/55RU0D813thBg04fIBCgCI1cvWgCqZgylOSWBjrEKqcGrRsCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"910bdb0d1aade89657a0bda01da98e6e189927d2310a3ca34bb6112251e152f0","last_reissued_at":"2026-07-05T03:23:48.830697Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:23:48.830697Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2108.11645","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":"2026-07-05T03:23:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w+HvNPwhRXdsUHbJgNfBrn9nsDGQKeofhOAfOP+GwBRMoDH49w/CbdPkiSsqKhsq5Ewth4jGZY4Z119VJrGqBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T11:45:32.474483Z"},"content_sha256":"5586ac8bd353ea5e386c837f9737b45c6a0511e86176d5995e3254017f385bb7","schema_version":"1.0","event_id":"sha256:5586ac8bd353ea5e386c837f9737b45c6a0511e86176d5995e3254017f385bb7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:SEF5WDI2VXUJMV5AXWQB3KMONY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Dijun Luo, Wanpeng Zhang, Xiaoyan Cao, Xi Xiao, Yao Yao, Zhicheng An","submitted_at":"2021-08-26T08:27:10Z","abstract_excerpt":"Due to the high efficiency and less weather dependency, autonomous greenhouses provide an ideal solution to meet the increasing demand for fresh food. However, managers are faced with some challenges in finding appropriate control strategies for crop growth, since the decision space of the greenhouse control problem is an astronomical number. Therefore, an intelligent closed-loop control framework is highly desired to generate an automatic control policy. As a powerful tool for optimal control, reinforcement learning (RL) algorithms can surpass human beings' decision-making and can also be sea"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.11645","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/2108.11645/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":"2026-07-05T03:23:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2J0LJ7CkRtCw4kSMImFTcXJxpFPF1SzndRqsMS38h10A5J/ALizheSWIAxaOqERY29np8OklfxrXy2orXrr1CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T11:45:32.474862Z"},"content_sha256":"f310fb04ae117f0d8eba4c6e61a789c9122146d2d20a47f5e93115b11fa20122","schema_version":"1.0","event_id":"sha256:f310fb04ae117f0d8eba4c6e61a789c9122146d2d20a47f5e93115b11fa20122"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SEF5WDI2VXUJMV5AXWQB3KMONY/bundle.json","state_url":"https://pith.science/pith/SEF5WDI2VXUJMV5AXWQB3KMONY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SEF5WDI2VXUJMV5AXWQB3KMONY/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":"2026-07-13T11:45:32Z","links":{"resolver":"https://pith.science/pith/SEF5WDI2VXUJMV5AXWQB3KMONY","bundle":"https://pith.science/pith/SEF5WDI2VXUJMV5AXWQB3KMONY/bundle.json","state":"https://pith.science/pith/SEF5WDI2VXUJMV5AXWQB3KMONY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SEF5WDI2VXUJMV5AXWQB3KMONY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:SEF5WDI2VXUJMV5AXWQB3KMONY","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":"792c060e13da643329d9b8c841962ffa4908cb1a2a95e0465272e92f55a7a167","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-08-26T08:27:10Z","title_canon_sha256":"e79f11275549052a4876099c20dc38be1002bb6baee79722e5512934ef8af371"},"schema_version":"1.0","source":{"id":"2108.11645","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.11645","created_at":"2026-07-05T03:23:48Z"},{"alias_kind":"arxiv_version","alias_value":"2108.11645v2","created_at":"2026-07-05T03:23:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.11645","created_at":"2026-07-05T03:23:48Z"},{"alias_kind":"pith_short_12","alias_value":"SEF5WDI2VXUJ","created_at":"2026-07-05T03:23:48Z"},{"alias_kind":"pith_short_16","alias_value":"SEF5WDI2VXUJMV5A","created_at":"2026-07-05T03:23:48Z"},{"alias_kind":"pith_short_8","alias_value":"SEF5WDI2","created_at":"2026-07-05T03:23:48Z"}],"graph_snapshots":[{"event_id":"sha256:f310fb04ae117f0d8eba4c6e61a789c9122146d2d20a47f5e93115b11fa20122","target":"graph","created_at":"2026-07-05T03:23:48Z","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/2108.11645/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Due to the high efficiency and less weather dependency, autonomous greenhouses provide an ideal solution to meet the increasing demand for fresh food. However, managers are faced with some challenges in finding appropriate control strategies for crop growth, since the decision space of the greenhouse control problem is an astronomical number. Therefore, an intelligent closed-loop control framework is highly desired to generate an automatic control policy. As a powerful tool for optimal control, reinforcement learning (RL) algorithms can surpass human beings' decision-making and can also be sea","authors_text":"Dijun Luo, Wanpeng Zhang, Xiaoyan Cao, Xi Xiao, Yao Yao, Zhicheng An","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-08-26T08:27:10Z","title":"Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.11645","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":"sha256:5586ac8bd353ea5e386c837f9737b45c6a0511e86176d5995e3254017f385bb7","target":"record","created_at":"2026-07-05T03:23:48Z","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":"792c060e13da643329d9b8c841962ffa4908cb1a2a95e0465272e92f55a7a167","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-08-26T08:27:10Z","title_canon_sha256":"e79f11275549052a4876099c20dc38be1002bb6baee79722e5512934ef8af371"},"schema_version":"1.0","source":{"id":"2108.11645","kind":"arxiv","version":2}},"canonical_sha256":"910bdb0d1aade89657a0bda01da98e6e189927d2310a3ca34bb6112251e152f0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"910bdb0d1aade89657a0bda01da98e6e189927d2310a3ca34bb6112251e152f0","first_computed_at":"2026-07-05T03:23:48.830697Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:23:48.830697Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bWj6vSuNj7G7YZ7DBbKUHVNMO7MgpLIwIKbq/55RU0D813thBg04fIBCgCI1cvWgCqZgylOSWBjrEKqcGrRsCA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:23:48.831105Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.11645","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5586ac8bd353ea5e386c837f9737b45c6a0511e86176d5995e3254017f385bb7","sha256:f310fb04ae117f0d8eba4c6e61a789c9122146d2d20a47f5e93115b11fa20122"],"state_sha256":"c682e9f7dd823d35ebf1cedd94ed4b70afaa49ff75d602106fdc79960e857bd7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4k27NVv+FK1iiOHYg8evxsyOxH9zI34DkkUf4Xj3Gy8IxViPguEyoS8NUGTQ0c3k3zFxcHkfDCNPFlFu5uZcAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T11:45:32.476922Z","bundle_sha256":"1247902d86679cdf3a7a18c45be2b062f281a13e610d0993e61d0fafac016375"}}