{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:LF25RBWDQFXMPWUKIJ2CIZFELC","short_pith_number":"pith:LF25RBWD","canonical_record":{"source":{"id":"2302.04988","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-10T00:24:22Z","cross_cats_sorted":[],"title_canon_sha256":"2a183e66bb2341fc900fd7b40cae82e11072b0b429e5e9c7e8aff0535a8d1deb","abstract_canon_sha256":"77a4943129ac2c7388c9ef2664bba71cc52a405fbaa7fbb8571ae5465350ca25"},"schema_version":"1.0"},"canonical_sha256":"5975d886c3816ec7da8a42742464a458b03b43e23db082b732151ca07851282a","source":{"kind":"arxiv","id":"2302.04988","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.04988","created_at":"2026-07-05T05:40:23Z"},{"alias_kind":"arxiv_version","alias_value":"2302.04988v1","created_at":"2026-07-05T05:40:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.04988","created_at":"2026-07-05T05:40:23Z"},{"alias_kind":"pith_short_12","alias_value":"LF25RBWDQFXM","created_at":"2026-07-05T05:40:23Z"},{"alias_kind":"pith_short_16","alias_value":"LF25RBWDQFXMPWUK","created_at":"2026-07-05T05:40:23Z"},{"alias_kind":"pith_short_8","alias_value":"LF25RBWD","created_at":"2026-07-05T05:40:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:LF25RBWDQFXMPWUKIJ2CIZFELC","target":"record","payload":{"canonical_record":{"source":{"id":"2302.04988","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-10T00:24:22Z","cross_cats_sorted":[],"title_canon_sha256":"2a183e66bb2341fc900fd7b40cae82e11072b0b429e5e9c7e8aff0535a8d1deb","abstract_canon_sha256":"77a4943129ac2c7388c9ef2664bba71cc52a405fbaa7fbb8571ae5465350ca25"},"schema_version":"1.0"},"canonical_sha256":"5975d886c3816ec7da8a42742464a458b03b43e23db082b732151ca07851282a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:40:23.616568Z","signature_b64":"iUys1LhTHRrVKQcjfPyYV8xAMrMHltX9ex8bari0BNgDAwBi78hC48udq28b8pRZgrwOamPoDjQ66qHUogNIDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5975d886c3816ec7da8a42742464a458b03b43e23db082b732151ca07851282a","last_reissued_at":"2026-07-05T05:40:23.616187Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:40:23.616187Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.04988","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:40:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gII3kqiMAzE+IiIRRtT/zExvQLet/H9AsX+seDBtWdsSJOXvpX0HQrAhCl2MpnBBled09QMrkYmCK/iR4c67DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T20:56:41.826575Z"},"content_sha256":"bb756da5f90d418a49b34bd0f75f6df99ebfb57ebe554c9240ca591348eed906","schema_version":"1.0","event_id":"sha256:bb756da5f90d418a49b34bd0f75f6df99ebfb57ebe554c9240ca591348eed906"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:LF25RBWDQFXMPWUKIJ2CIZFELC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A SWAT-based Reinforcement Learning Framework for Crop Management","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Arun Bawa, Fearghal O'Donncha, Kelsey DiPietro, Malvern Madondo, Michael Jacobs, Muneeza Azmat, Raghavan Srinivasan, Raya Horesh","submitted_at":"2023-02-10T00:24:22Z","abstract_excerpt":"Crop management involves a series of critical, interdependent decisions or actions in a complex and highly uncertain environment, which exhibit distinct spatial and temporal variations. Managing resource inputs such as fertilizer and irrigation in the face of climate change, dwindling supply, and soaring prices is nothing short of a Herculean task. The ability of machine learning to efficiently interrogate complex, nonlinear, and high-dimensional datasets can revolutionize decision-making in agriculture. In this paper, we introduce a reinforcement learning (RL) environment that leverages the d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.04988","kind":"arxiv","version":1},"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/2302.04988/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":"2026-07-05T05:40:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jLuchr84ZixalfGu+X7yW3JpFFQkWiOg/SRqMFlSXngNKmG29Rmd65LNlkwEv5OlWRvqw+B1DNQHu56r6YNxBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T20:56:41.827424Z"},"content_sha256":"f432f40158ff7069c130f36c45f7649580b8b77d821289176dbe5be818235adb","schema_version":"1.0","event_id":"sha256:f432f40158ff7069c130f36c45f7649580b8b77d821289176dbe5be818235adb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LF25RBWDQFXMPWUKIJ2CIZFELC/bundle.json","state_url":"https://pith.science/pith/LF25RBWDQFXMPWUKIJ2CIZFELC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LF25RBWDQFXMPWUKIJ2CIZFELC/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":"2026-08-04T20:56:41Z","links":{"resolver":"https://pith.science/pith/LF25RBWDQFXMPWUKIJ2CIZFELC","bundle":"https://pith.science/pith/LF25RBWDQFXMPWUKIJ2CIZFELC/bundle.json","state":"https://pith.science/pith/LF25RBWDQFXMPWUKIJ2CIZFELC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LF25RBWDQFXMPWUKIJ2CIZFELC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LF25RBWDQFXMPWUKIJ2CIZFELC","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":"77a4943129ac2c7388c9ef2664bba71cc52a405fbaa7fbb8571ae5465350ca25","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-10T00:24:22Z","title_canon_sha256":"2a183e66bb2341fc900fd7b40cae82e11072b0b429e5e9c7e8aff0535a8d1deb"},"schema_version":"1.0","source":{"id":"2302.04988","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.04988","created_at":"2026-07-05T05:40:23Z"},{"alias_kind":"arxiv_version","alias_value":"2302.04988v1","created_at":"2026-07-05T05:40:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.04988","created_at":"2026-07-05T05:40:23Z"},{"alias_kind":"pith_short_12","alias_value":"LF25RBWDQFXM","created_at":"2026-07-05T05:40:23Z"},{"alias_kind":"pith_short_16","alias_value":"LF25RBWDQFXMPWUK","created_at":"2026-07-05T05:40:23Z"},{"alias_kind":"pith_short_8","alias_value":"LF25RBWD","created_at":"2026-07-05T05:40:23Z"}],"graph_snapshots":[{"event_id":"sha256:f432f40158ff7069c130f36c45f7649580b8b77d821289176dbe5be818235adb","target":"graph","created_at":"2026-07-05T05:40:23Z","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/2302.04988/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Crop management involves a series of critical, interdependent decisions or actions in a complex and highly uncertain environment, which exhibit distinct spatial and temporal variations. Managing resource inputs such as fertilizer and irrigation in the face of climate change, dwindling supply, and soaring prices is nothing short of a Herculean task. The ability of machine learning to efficiently interrogate complex, nonlinear, and high-dimensional datasets can revolutionize decision-making in agriculture. In this paper, we introduce a reinforcement learning (RL) environment that leverages the d","authors_text":"Arun Bawa, Fearghal O'Donncha, Kelsey DiPietro, Malvern Madondo, Michael Jacobs, Muneeza Azmat, Raghavan Srinivasan, Raya Horesh","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-10T00:24:22Z","title":"A SWAT-based Reinforcement Learning Framework for Crop Management"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.04988","kind":"arxiv","version":1},"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:bb756da5f90d418a49b34bd0f75f6df99ebfb57ebe554c9240ca591348eed906","target":"record","created_at":"2026-07-05T05:40:23Z","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":"77a4943129ac2c7388c9ef2664bba71cc52a405fbaa7fbb8571ae5465350ca25","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-10T00:24:22Z","title_canon_sha256":"2a183e66bb2341fc900fd7b40cae82e11072b0b429e5e9c7e8aff0535a8d1deb"},"schema_version":"1.0","source":{"id":"2302.04988","kind":"arxiv","version":1}},"canonical_sha256":"5975d886c3816ec7da8a42742464a458b03b43e23db082b732151ca07851282a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5975d886c3816ec7da8a42742464a458b03b43e23db082b732151ca07851282a","first_computed_at":"2026-07-05T05:40:23.616187Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:40:23.616187Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iUys1LhTHRrVKQcjfPyYV8xAMrMHltX9ex8bari0BNgDAwBi78hC48udq28b8pRZgrwOamPoDjQ66qHUogNIDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:40:23.616568Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.04988","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb756da5f90d418a49b34bd0f75f6df99ebfb57ebe554c9240ca591348eed906","sha256:f432f40158ff7069c130f36c45f7649580b8b77d821289176dbe5be818235adb"],"state_sha256":"cf0e38d84945200fd34143d5ebdbae98a7041b5c9d159402e91f0231306e48de"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tKlxQhTTeHoT6gwPmCXulHmtlkwlO7Pj9yDdGIJKDN31VxMyXUMEGMyZPom4xfFXAgThc3qDTfF2rjM7zjcQAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T20:56:41.834007Z","bundle_sha256":"68af530d2d834daf28eee50c6fcd96525805582ed5a6f3bb2be0120aa428b9ac"}}