{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:GELHADS7KNGUFTRLQ2UP6HI7PR","short_pith_number":"pith:GELHADS7","schema_version":"1.0","canonical_sha256":"3116700e5f534d42ce2b86a8ff1d1f7c774ba6c7134365f946137cd9fbd74554","source":{"kind":"arxiv","id":"2304.00763","version":1},"attestation_state":"computed","paper":{"title":"BOLLWM: A real-world dataset for bollworm pest monitoring from cotton fields in India","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anmol Ojha, Apoorv Agnihotri, Chandan Agrawal, Jerome White, Jigar Doshi, Makkunda Sharma","submitted_at":"2023-04-03T07:31:30Z","abstract_excerpt":"This paper presents a dataset of agricultural pest images captured over five years by thousands of small holder farmers and farming extension workers across India. The dataset has been used to support a mobile application that relies on artificial intelligence to assist farmers with pest management decisions. Creation came from a mix of organized data collection, and from mobile application usage that was less controlled. This makes the dataset unique within the pest detection community, exhibiting a number of characteristics that place it closer to other non-agricultural objected detection da"},"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":"2304.00763","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-03T07:31:30Z","cross_cats_sorted":[],"title_canon_sha256":"79b99a82f264ee9e8636f090258a132f264cbd07e8f223eb74beb9a6b7809d79","abstract_canon_sha256":"2dd11ab88995b0c0257abb6b5a78de30bd33262369b2021c2303f3d24a589079"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:57:22.271281Z","signature_b64":"3XhalPvwwcAS5LmIzls44pUCqQFfwwYqDj+cbOhPYGRDRlf0SSjdKrVxk3/1OYqt5qvJSxHRfftvgrua3Pt1CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3116700e5f534d42ce2b86a8ff1d1f7c774ba6c7134365f946137cd9fbd74554","last_reissued_at":"2026-07-05T05:57:22.270845Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:57:22.270845Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"BOLLWM: A real-world dataset for bollworm pest monitoring from cotton fields in India","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anmol Ojha, Apoorv Agnihotri, Chandan Agrawal, Jerome White, Jigar Doshi, Makkunda Sharma","submitted_at":"2023-04-03T07:31:30Z","abstract_excerpt":"This paper presents a dataset of agricultural pest images captured over five years by thousands of small holder farmers and farming extension workers across India. The dataset has been used to support a mobile application that relies on artificial intelligence to assist farmers with pest management decisions. Creation came from a mix of organized data collection, and from mobile application usage that was less controlled. This makes the dataset unique within the pest detection community, exhibiting a number of characteristics that place it closer to other non-agricultural objected detection da"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.00763","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/2304.00763/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":"2304.00763","created_at":"2026-07-05T05:57:22.270909+00:00"},{"alias_kind":"arxiv_version","alias_value":"2304.00763v1","created_at":"2026-07-05T05:57:22.270909+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.00763","created_at":"2026-07-05T05:57:22.270909+00:00"},{"alias_kind":"pith_short_12","alias_value":"GELHADS7KNGU","created_at":"2026-07-05T05:57:22.270909+00:00"},{"alias_kind":"pith_short_16","alias_value":"GELHADS7KNGUFTRL","created_at":"2026-07-05T05:57:22.270909+00:00"},{"alias_kind":"pith_short_8","alias_value":"GELHADS7","created_at":"2026-07-05T05:57:22.270909+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/GELHADS7KNGUFTRLQ2UP6HI7PR","json":"https://pith.science/pith/GELHADS7KNGUFTRLQ2UP6HI7PR.json","graph_json":"https://pith.science/api/pith-number/GELHADS7KNGUFTRLQ2UP6HI7PR/graph.json","events_json":"https://pith.science/api/pith-number/GELHADS7KNGUFTRLQ2UP6HI7PR/events.json","paper":"https://pith.science/paper/GELHADS7"},"agent_actions":{"view_html":"https://pith.science/pith/GELHADS7KNGUFTRLQ2UP6HI7PR","download_json":"https://pith.science/pith/GELHADS7KNGUFTRLQ2UP6HI7PR.json","view_paper":"https://pith.science/paper/GELHADS7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2304.00763&json=true","fetch_graph":"https://pith.science/api/pith-number/GELHADS7KNGUFTRLQ2UP6HI7PR/graph.json","fetch_events":"https://pith.science/api/pith-number/GELHADS7KNGUFTRLQ2UP6HI7PR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GELHADS7KNGUFTRLQ2UP6HI7PR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GELHADS7KNGUFTRLQ2UP6HI7PR/action/storage_attestation","attest_author":"https://pith.science/pith/GELHADS7KNGUFTRLQ2UP6HI7PR/action/author_attestation","sign_citation":"https://pith.science/pith/GELHADS7KNGUFTRLQ2UP6HI7PR/action/citation_signature","submit_replication":"https://pith.science/pith/GELHADS7KNGUFTRLQ2UP6HI7PR/action/replication_record"}},"created_at":"2026-07-05T05:57:22.270909+00:00","updated_at":"2026-07-05T05:57:22.270909+00:00"}