{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:CU26U2C77HLVD6RXZVP3PZRTQK","short_pith_number":"pith:CU26U2C7","schema_version":"1.0","canonical_sha256":"1535ea685ff9d751fa37cd5fb7e633828bf255d58e604bb8f72f6686f2bdfa40","source":{"kind":"arxiv","id":"2310.06582","version":1},"attestation_state":"computed","paper":{"title":"Hierarchical Mask2Former: Panoptic Segmentation of Crops, Weeds and Leaves","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Elizabeth Sklar, Madeleine Darbyshire, Simon Parsons","submitted_at":"2023-10-10T12:47:31Z","abstract_excerpt":"Advancements in machine vision that enable detailed inferences to be made from images have the potential to transform many sectors including agriculture. Precision agriculture, where data analysis enables interventions to be precisely targeted, has many possible applications. Precision spraying, for example, can limit the application of herbicide only to weeds, or limit the application of fertiliser only to undernourished crops, instead of spraying the entire field. The approach promises to maximise yields, whilst minimising resource use and harms to the surrounding environment. To this end, w"},"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":"2310.06582","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-10T12:47:31Z","cross_cats_sorted":[],"title_canon_sha256":"737cf2cb694db23cff844002ff5a815740fdeaf5a8e4c2476db0f68d6ab2a685","abstract_canon_sha256":"237ab82a1fc25736f876f7c0b10af18462166a5145247637ca606490bbccb3c1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:59:13.452425Z","signature_b64":"sZejXUHEqp+N+HX9/WreETN3yVslcy6SZNQEH5oMxHjFol5sDuUgbvYJffAhY38zF0unn/cHCMvBvAAnWCyCDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1535ea685ff9d751fa37cd5fb7e633828bf255d58e604bb8f72f6686f2bdfa40","last_reissued_at":"2026-07-05T06:59:13.451934Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:59:13.451934Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Hierarchical Mask2Former: Panoptic Segmentation of Crops, Weeds and Leaves","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Elizabeth Sklar, Madeleine Darbyshire, Simon Parsons","submitted_at":"2023-10-10T12:47:31Z","abstract_excerpt":"Advancements in machine vision that enable detailed inferences to be made from images have the potential to transform many sectors including agriculture. Precision agriculture, where data analysis enables interventions to be precisely targeted, has many possible applications. Precision spraying, for example, can limit the application of herbicide only to weeds, or limit the application of fertiliser only to undernourished crops, instead of spraying the entire field. The approach promises to maximise yields, whilst minimising resource use and harms to the surrounding environment. To this end, w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.06582","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/2310.06582/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":"2310.06582","created_at":"2026-07-05T06:59:13.451994+00:00"},{"alias_kind":"arxiv_version","alias_value":"2310.06582v1","created_at":"2026-07-05T06:59:13.451994+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.06582","created_at":"2026-07-05T06:59:13.451994+00:00"},{"alias_kind":"pith_short_12","alias_value":"CU26U2C77HLV","created_at":"2026-07-05T06:59:13.451994+00:00"},{"alias_kind":"pith_short_16","alias_value":"CU26U2C77HLVD6RX","created_at":"2026-07-05T06:59:13.451994+00:00"},{"alias_kind":"pith_short_8","alias_value":"CU26U2C7","created_at":"2026-07-05T06:59:13.451994+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/CU26U2C77HLVD6RXZVP3PZRTQK","json":"https://pith.science/pith/CU26U2C77HLVD6RXZVP3PZRTQK.json","graph_json":"https://pith.science/api/pith-number/CU26U2C77HLVD6RXZVP3PZRTQK/graph.json","events_json":"https://pith.science/api/pith-number/CU26U2C77HLVD6RXZVP3PZRTQK/events.json","paper":"https://pith.science/paper/CU26U2C7"},"agent_actions":{"view_html":"https://pith.science/pith/CU26U2C77HLVD6RXZVP3PZRTQK","download_json":"https://pith.science/pith/CU26U2C77HLVD6RXZVP3PZRTQK.json","view_paper":"https://pith.science/paper/CU26U2C7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2310.06582&json=true","fetch_graph":"https://pith.science/api/pith-number/CU26U2C77HLVD6RXZVP3PZRTQK/graph.json","fetch_events":"https://pith.science/api/pith-number/CU26U2C77HLVD6RXZVP3PZRTQK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CU26U2C77HLVD6RXZVP3PZRTQK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CU26U2C77HLVD6RXZVP3PZRTQK/action/storage_attestation","attest_author":"https://pith.science/pith/CU26U2C77HLVD6RXZVP3PZRTQK/action/author_attestation","sign_citation":"https://pith.science/pith/CU26U2C77HLVD6RXZVP3PZRTQK/action/citation_signature","submit_replication":"https://pith.science/pith/CU26U2C77HLVD6RXZVP3PZRTQK/action/replication_record"}},"created_at":"2026-07-05T06:59:13.451994+00:00","updated_at":"2026-07-05T06:59:13.451994+00:00"}