{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CDB34H7EBORU6HGJNNNXKMBZMO","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":"fad4413fcb35900a4a70ce8ab349e7bd2f574583c81104725c70cccbf0229534","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-24T21:20:53Z","title_canon_sha256":"b2d5fd89c9bd53cf7a8d54b9f53eaa616f8e45a2545851c7a838a10a89269aa7"},"schema_version":"1.0","source":{"id":"2402.15909","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.15909","created_at":"2026-07-05T08:23:18Z"},{"alias_kind":"arxiv_version","alias_value":"2402.15909v3","created_at":"2026-07-05T08:23:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.15909","created_at":"2026-07-05T08:23:18Z"},{"alias_kind":"pith_short_12","alias_value":"CDB34H7EBORU","created_at":"2026-07-05T08:23:18Z"},{"alias_kind":"pith_short_16","alias_value":"CDB34H7EBORU6HGJ","created_at":"2026-07-05T08:23:18Z"},{"alias_kind":"pith_short_8","alias_value":"CDB34H7E","created_at":"2026-07-05T08:23:18Z"}],"graph_snapshots":[{"event_id":"sha256:b0420521af177b6135ead7715cbca09f3e25dc214da183c13bcc07987f32845e","target":"graph","created_at":"2026-07-05T08:23:18Z","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/2402.15909/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Precision devices play an important role in enhancing production quality and productivity in agricultural systems. Therefore, the optimization of these devices is essential in precision agriculture. Recently, with the advancements of deep learning, there have been several studies aiming to harness its capabilities for improving spray system performance. However, the effectiveness of these methods heavily depends on the size of the training dataset, which is expensive and time-consuming to collect. To address the challenge of insufficient training samples, we developed an image generator named ","authors_text":"Kim-Doang Nguyen, Tan-Hanh Pham","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-24T21:20:53Z","title":"Enhanced Droplet Analysis Using Generative Adversarial Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.15909","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":"sha256:19fc6a4b188a8578fe191994364179b9f6e03e2771421324f91fb1637ca939cd","target":"record","created_at":"2026-07-05T08:23:18Z","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":"fad4413fcb35900a4a70ce8ab349e7bd2f574583c81104725c70cccbf0229534","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-24T21:20:53Z","title_canon_sha256":"b2d5fd89c9bd53cf7a8d54b9f53eaa616f8e45a2545851c7a838a10a89269aa7"},"schema_version":"1.0","source":{"id":"2402.15909","kind":"arxiv","version":3}},"canonical_sha256":"10c3be1fe40ba34f1cc96b5b75303963ac7d9c33641ab1cda1545c6e76830f01","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"10c3be1fe40ba34f1cc96b5b75303963ac7d9c33641ab1cda1545c6e76830f01","first_computed_at":"2026-07-05T08:23:18.643073Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:23:18.643073Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wpm2A2U7B09CNDq7vAWsMjvjYhl/qploQemLui9GHkD9nTdwDMCb9ZRabQ2riKNPEmrgGpzmEhFAotb9rC6qDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:23:18.643537Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.15909","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:19fc6a4b188a8578fe191994364179b9f6e03e2771421324f91fb1637ca939cd","sha256:b0420521af177b6135ead7715cbca09f3e25dc214da183c13bcc07987f32845e"],"state_sha256":"5c7ead9d82d3af4dbe7b86e80abf784e85912383744169b0957337b5053bdabf"}