{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:IWS35Q4ZJJ6GFESQGMSLWTQOTD","short_pith_number":"pith:IWS35Q4Z","schema_version":"1.0","canonical_sha256":"45a5bec3994a7c6292503324bb4e0e98ff50578aac48c71304a55bf1e28303e2","source":{"kind":"arxiv","id":"2607.12065","version":1},"attestation_state":"computed","paper":{"title":"Enabling 24-hour Agricultural Robotics: Unsupervised Day-to-Night Cross-Modal Image Translation for Nighttime Visual Navigation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.RO","authors_text":"Grzegorz Cielniak, Rajitha de Silva, Robel Mamo, Taeyeong Choi","submitted_at":"2026-07-13T18:37:35Z","abstract_excerpt":"While visual navigation has been extensively studied in agricultural robotics, most existing systems assume daytime conditions. In fact, deploying autonomous robots at night offers significant advantages, including 24-hour crop and soil monitoring, fruit harvesting, and nocturnal pest detection. Modern vision-based systems, however, rely heavily on large-scale well-annotated image datasets, which remains challenging to obtain for nighttime operation scenarios. To address this, we propose an unsupervised image translation framework that converts daytime plant-row RGB images into near-infrared ("},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.12065","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-07-13T18:37:35Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"e89153eb0b182730fb13954402de0376824bec4f1d5f2f8dd439532474aba3a9","abstract_canon_sha256":"c80931fb4ce728359deeb800395af5a493d19acd63c6f6ca0fb9aa02798f5ecc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-15T00:21:31.207358Z","signature_b64":"UshAAnKEdbkC/yRNfZavoHHAj+8MoyVy+sKJEEwzCfTEzady3CY3TeROZSq3/0/aooYsKEwDl+WzH/xUHWcjCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"45a5bec3994a7c6292503324bb4e0e98ff50578aac48c71304a55bf1e28303e2","last_reissued_at":"2026-07-15T00:21:31.206478Z","signature_status":"signed_v1","first_computed_at":"2026-07-15T00:21:31.206478Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Enabling 24-hour Agricultural Robotics: Unsupervised Day-to-Night Cross-Modal Image Translation for Nighttime Visual Navigation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.RO","authors_text":"Grzegorz Cielniak, Rajitha de Silva, Robel Mamo, Taeyeong Choi","submitted_at":"2026-07-13T18:37:35Z","abstract_excerpt":"While visual navigation has been extensively studied in agricultural robotics, most existing systems assume daytime conditions. In fact, deploying autonomous robots at night offers significant advantages, including 24-hour crop and soil monitoring, fruit harvesting, and nocturnal pest detection. Modern vision-based systems, however, rely heavily on large-scale well-annotated image datasets, which remains challenging to obtain for nighttime operation scenarios. To address this, we propose an unsupervised image translation framework that converts daytime plant-row RGB images into near-infrared ("},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.12065","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/2607.12065/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.12065","created_at":"2026-07-15T00:21:31.206920+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.12065v1","created_at":"2026-07-15T00:21:31.206920+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.12065","created_at":"2026-07-15T00:21:31.206920+00:00"},{"alias_kind":"pith_short_12","alias_value":"IWS35Q4ZJJ6G","created_at":"2026-07-15T00:21:31.206920+00:00"},{"alias_kind":"pith_short_16","alias_value":"IWS35Q4ZJJ6GFESQ","created_at":"2026-07-15T00:21:31.206920+00:00"},{"alias_kind":"pith_short_8","alias_value":"IWS35Q4Z","created_at":"2026-07-15T00:21:31.206920+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/IWS35Q4ZJJ6GFESQGMSLWTQOTD","json":"https://pith.science/pith/IWS35Q4ZJJ6GFESQGMSLWTQOTD.json","graph_json":"https://pith.science/api/pith-number/IWS35Q4ZJJ6GFESQGMSLWTQOTD/graph.json","events_json":"https://pith.science/api/pith-number/IWS35Q4ZJJ6GFESQGMSLWTQOTD/events.json","paper":"https://pith.science/paper/IWS35Q4Z"},"agent_actions":{"view_html":"https://pith.science/pith/IWS35Q4ZJJ6GFESQGMSLWTQOTD","download_json":"https://pith.science/pith/IWS35Q4ZJJ6GFESQGMSLWTQOTD.json","view_paper":"https://pith.science/paper/IWS35Q4Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.12065&json=true","fetch_graph":"https://pith.science/api/pith-number/IWS35Q4ZJJ6GFESQGMSLWTQOTD/graph.json","fetch_events":"https://pith.science/api/pith-number/IWS35Q4ZJJ6GFESQGMSLWTQOTD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IWS35Q4ZJJ6GFESQGMSLWTQOTD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IWS35Q4ZJJ6GFESQGMSLWTQOTD/action/storage_attestation","attest_author":"https://pith.science/pith/IWS35Q4ZJJ6GFESQGMSLWTQOTD/action/author_attestation","sign_citation":"https://pith.science/pith/IWS35Q4ZJJ6GFESQGMSLWTQOTD/action/citation_signature","submit_replication":"https://pith.science/pith/IWS35Q4ZJJ6GFESQGMSLWTQOTD/action/replication_record"}},"created_at":"2026-07-15T00:21:31.206920+00:00","updated_at":"2026-07-15T00:21:31.206920+00:00"}