{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:LDD2PJBVJO3EJ3UOL63THSSZJS","short_pith_number":"pith:LDD2PJBV","canonical_record":{"source":{"id":"2207.03270","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2022-07-07T12:45:02Z","cross_cats_sorted":[],"title_canon_sha256":"4d4732e6c3fffd019c99ccf81c3c3e4d0d836b084cf68eed437a592111e43794","abstract_canon_sha256":"c05610996bb52e0a0ce7744cdf1922b75d9dcd8bb38bbe961021f7e9e6efe644"},"schema_version":"1.0"},"canonical_sha256":"58c7a7a4354bb644ee8e5fb733ca594c93fd64a689c106eaee18a6b15a88aed6","source":{"kind":"arxiv","id":"2207.03270","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.03270","created_at":"2026-07-05T05:01:02Z"},{"alias_kind":"arxiv_version","alias_value":"2207.03270v4","created_at":"2026-07-05T05:01:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.03270","created_at":"2026-07-05T05:01:02Z"},{"alias_kind":"pith_short_12","alias_value":"LDD2PJBVJO3E","created_at":"2026-07-05T05:01:02Z"},{"alias_kind":"pith_short_16","alias_value":"LDD2PJBVJO3EJ3UO","created_at":"2026-07-05T05:01:02Z"},{"alias_kind":"pith_short_8","alias_value":"LDD2PJBV","created_at":"2026-07-05T05:01:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:LDD2PJBVJO3EJ3UOL63THSSZJS","target":"record","payload":{"canonical_record":{"source":{"id":"2207.03270","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2022-07-07T12:45:02Z","cross_cats_sorted":[],"title_canon_sha256":"4d4732e6c3fffd019c99ccf81c3c3e4d0d836b084cf68eed437a592111e43794","abstract_canon_sha256":"c05610996bb52e0a0ce7744cdf1922b75d9dcd8bb38bbe961021f7e9e6efe644"},"schema_version":"1.0"},"canonical_sha256":"58c7a7a4354bb644ee8e5fb733ca594c93fd64a689c106eaee18a6b15a88aed6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:01:02.431616Z","signature_b64":"mhhSQ3L0OBoFYCwyywnjEVr/3aLLWwcFd2x7nG+ulLd6w7rnBxgqpbfpMsNX5VPKQgOJFI6cIoSnuOFExR54Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"58c7a7a4354bb644ee8e5fb733ca594c93fd64a689c106eaee18a6b15a88aed6","last_reissued_at":"2026-07-05T05:01:02.431126Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:01:02.431126Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.03270","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:01:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yVsp8f5cGZIWFWeRhyTQXmLyluGJ1btX/ojdbg76GloMNMJl5yeTK6zCaM70uQDPCFgT0m9NKvHLrYGZ3pOBBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T17:32:01.389922Z"},"content_sha256":"f97299182d0a1058ce0a7842ddd8b6b2232ea7599d71d6dc0e708ccb1a85c604","schema_version":"1.0","event_id":"sha256:f97299182d0a1058ce0a7842ddd8b6b2232ea7599d71d6dc0e708ccb1a85c604"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:LDD2PJBVJO3EJ3UOL63THSSZJS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"gym-DSSAT: a crop model turned into a Reinforcement Learning environment","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"David Emukpere, Emilio J. Padr\\'on, Julien Bigot, Odalric-Ambrym Maillard, Philippe Preux, Romain Gautron","submitted_at":"2022-07-07T12:45:02Z","abstract_excerpt":"Addressing a real world sequential decision problem with Reinforcement Learning (RL) usually starts with the use of a simulated environment that mimics real conditions. We present a novel open source RL environment for realistic crop management tasks. gym-DSSAT is a gym interface to the Decision Support System for Agrotechnology Transfer (DSSAT), a high fidelity crop simulator. DSSAT has been developped over the last 30 years and is widely recognized by agronomists. gym-DSSAT comes with predefined simulations based on real world maize experiments. The environment is as easy to use as any gym e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.03270","kind":"arxiv","version":4},"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/2207.03270/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":"2026-07-05T05:01:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IpUvNbrKqwI50R0qfkuXn39WVKjT4aEvhY9WuMwuXCsCMP2bYMyfeePyDX5DMrIS/Ju5Kh4/QOmx8hg3eFtVAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T17:32:01.390940Z"},"content_sha256":"c922c7b7a47fe7fd4ae4e3f45df873ec9e6138360b323ca36672b6c9f8a1879e","schema_version":"1.0","event_id":"sha256:c922c7b7a47fe7fd4ae4e3f45df873ec9e6138360b323ca36672b6c9f8a1879e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LDD2PJBVJO3EJ3UOL63THSSZJS/bundle.json","state_url":"https://pith.science/pith/LDD2PJBVJO3EJ3UOL63THSSZJS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LDD2PJBVJO3EJ3UOL63THSSZJS/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":"2026-08-11T17:32:01Z","links":{"resolver":"https://pith.science/pith/LDD2PJBVJO3EJ3UOL63THSSZJS","bundle":"https://pith.science/pith/LDD2PJBVJO3EJ3UOL63THSSZJS/bundle.json","state":"https://pith.science/pith/LDD2PJBVJO3EJ3UOL63THSSZJS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LDD2PJBVJO3EJ3UOL63THSSZJS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:LDD2PJBVJO3EJ3UOL63THSSZJS","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":"c05610996bb52e0a0ce7744cdf1922b75d9dcd8bb38bbe961021f7e9e6efe644","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2022-07-07T12:45:02Z","title_canon_sha256":"4d4732e6c3fffd019c99ccf81c3c3e4d0d836b084cf68eed437a592111e43794"},"schema_version":"1.0","source":{"id":"2207.03270","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.03270","created_at":"2026-07-05T05:01:02Z"},{"alias_kind":"arxiv_version","alias_value":"2207.03270v4","created_at":"2026-07-05T05:01:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.03270","created_at":"2026-07-05T05:01:02Z"},{"alias_kind":"pith_short_12","alias_value":"LDD2PJBVJO3E","created_at":"2026-07-05T05:01:02Z"},{"alias_kind":"pith_short_16","alias_value":"LDD2PJBVJO3EJ3UO","created_at":"2026-07-05T05:01:02Z"},{"alias_kind":"pith_short_8","alias_value":"LDD2PJBV","created_at":"2026-07-05T05:01:02Z"}],"graph_snapshots":[{"event_id":"sha256:c922c7b7a47fe7fd4ae4e3f45df873ec9e6138360b323ca36672b6c9f8a1879e","target":"graph","created_at":"2026-07-05T05:01:02Z","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/2207.03270/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Addressing a real world sequential decision problem with Reinforcement Learning (RL) usually starts with the use of a simulated environment that mimics real conditions. We present a novel open source RL environment for realistic crop management tasks. gym-DSSAT is a gym interface to the Decision Support System for Agrotechnology Transfer (DSSAT), a high fidelity crop simulator. DSSAT has been developped over the last 30 years and is widely recognized by agronomists. gym-DSSAT comes with predefined simulations based on real world maize experiments. The environment is as easy to use as any gym e","authors_text":"David Emukpere, Emilio J. Padr\\'on, Julien Bigot, Odalric-Ambrym Maillard, Philippe Preux, Romain Gautron","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2022-07-07T12:45:02Z","title":"gym-DSSAT: a crop model turned into a Reinforcement Learning environment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.03270","kind":"arxiv","version":4},"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:f97299182d0a1058ce0a7842ddd8b6b2232ea7599d71d6dc0e708ccb1a85c604","target":"record","created_at":"2026-07-05T05:01:02Z","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":"c05610996bb52e0a0ce7744cdf1922b75d9dcd8bb38bbe961021f7e9e6efe644","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2022-07-07T12:45:02Z","title_canon_sha256":"4d4732e6c3fffd019c99ccf81c3c3e4d0d836b084cf68eed437a592111e43794"},"schema_version":"1.0","source":{"id":"2207.03270","kind":"arxiv","version":4}},"canonical_sha256":"58c7a7a4354bb644ee8e5fb733ca594c93fd64a689c106eaee18a6b15a88aed6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"58c7a7a4354bb644ee8e5fb733ca594c93fd64a689c106eaee18a6b15a88aed6","first_computed_at":"2026-07-05T05:01:02.431126Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:01:02.431126Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mhhSQ3L0OBoFYCwyywnjEVr/3aLLWwcFd2x7nG+ulLd6w7rnBxgqpbfpMsNX5VPKQgOJFI6cIoSnuOFExR54Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T05:01:02.431616Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.03270","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f97299182d0a1058ce0a7842ddd8b6b2232ea7599d71d6dc0e708ccb1a85c604","sha256:c922c7b7a47fe7fd4ae4e3f45df873ec9e6138360b323ca36672b6c9f8a1879e"],"state_sha256":"b4720cbc8cf70bdd7150ecbe1a1687554c176f363ddbd646398fe4b384ec3090"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7E6rqIwnzdSXq/yZQfAtrLI7gP7lU/Px8RMtykiPJU6tLWtjempDN7cZ00IIZ1Wsuv+ABy+/sKd+YL0WmXEaDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T17:32:01.399233Z","bundle_sha256":"3d2a6c8bb15c6a88fbcabef320cdfe99905579788870a00a78b4238db1620ad8"}}