{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:STI5PRVUIW6KJHWQ4CUWQHPSDR","short_pith_number":"pith:STI5PRVU","canonical_record":{"source":{"id":"1907.11561","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-26T13:12:44Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5db79dd9281d3f596f1a5300f267c7a7a1ae0f91d7b3a3e7682a7d92ce2b39d1","abstract_canon_sha256":"93a68b9de286f6ad31311ee98e1238defeccfd1462fe843ddc35c59bf5166a22"},"schema_version":"1.0"},"canonical_sha256":"94d1d7c6b445bca49ed0e0a9681df21c41959aa18a708ba78c4a587ab6011846","source":{"kind":"arxiv","id":"1907.11561","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.11561","created_at":"2026-05-17T23:39:28Z"},{"alias_kind":"arxiv_version","alias_value":"1907.11561v1","created_at":"2026-05-17T23:39:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.11561","created_at":"2026-05-17T23:39:28Z"},{"alias_kind":"pith_short_12","alias_value":"STI5PRVUIW6K","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"STI5PRVUIW6KJHWQ","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"STI5PRVU","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:STI5PRVUIW6KJHWQ4CUWQHPSDR","target":"record","payload":{"canonical_record":{"source":{"id":"1907.11561","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-26T13:12:44Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5db79dd9281d3f596f1a5300f267c7a7a1ae0f91d7b3a3e7682a7d92ce2b39d1","abstract_canon_sha256":"93a68b9de286f6ad31311ee98e1238defeccfd1462fe843ddc35c59bf5166a22"},"schema_version":"1.0"},"canonical_sha256":"94d1d7c6b445bca49ed0e0a9681df21c41959aa18a708ba78c4a587ab6011846","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:39:28.684106Z","signature_b64":"QrTYLP+adVbbTx3/aksKIjRtv4Nial8C8+lLD1iy1dd+IB5xKgYhcsQHCQOKoQOpXeGBMVxKWLnzD8FAePihAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"94d1d7c6b445bca49ed0e0a9681df21c41959aa18a708ba78c4a587ab6011846","last_reissued_at":"2026-05-17T23:39:28.683416Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:39:28.683416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.11561","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":"2026-05-17T23:39:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sVPTRfbD0BFEQ3Fo73VduHPyZ0dANWa8PHdCA8NI8lPWpNbJkFPd+c8ybr0uV42UXgL3t9BahVDYwv1Mm0l8Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T20:09:49.839510Z"},"content_sha256":"f5a6744bdf648b1d2f590bfc8c52d41a95360a4f663072d9d010001b4e39159d","schema_version":"1.0","event_id":"sha256:f5a6744bdf648b1d2f590bfc8c52d41a95360a4f663072d9d010001b4e39159d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:STI5PRVUIW6KJHWQ4CUWQHPSDR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"J. A. Ventura, J. G. M. Esgario, R. A. Krohling","submitted_at":"2019-07-26T13:12:44Z","abstract_excerpt":"Biotic stress consists of damage to plants through other living organisms. Efficient control of biotic agents such as pests and pathogens (viruses, fungi, bacteria, etc.) is closely related to the concept of agricultural sustainability. Agricultural sustainability promotes the development of new technologies that allow the reduction of environmental impacts, greater accessibility to farmers and, consequently, increase on productivity. The use of computer vision with deep learning methods allows the early and correct identification of the stress-causing agent. So, corrective measures can be app"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.11561","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":""},"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":"2026-05-17T23:39:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GKUd5HCi7te/2FQVP36z94Kog4gTDQkaXE8rWkMY9nocHE/mPgM34tSMzvsDtdnxq0qIAOiELiRipBz6F/c8Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T20:09:49.839986Z"},"content_sha256":"b821a53a16f9a9938f65e29ec378de4b829202bc32c646ca5844690503a1da1f","schema_version":"1.0","event_id":"sha256:b821a53a16f9a9938f65e29ec378de4b829202bc32c646ca5844690503a1da1f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/STI5PRVUIW6KJHWQ4CUWQHPSDR/bundle.json","state_url":"https://pith.science/pith/STI5PRVUIW6KJHWQ4CUWQHPSDR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/STI5PRVUIW6KJHWQ4CUWQHPSDR/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":"2026-08-07T20:09:49Z","links":{"resolver":"https://pith.science/pith/STI5PRVUIW6KJHWQ4CUWQHPSDR","bundle":"https://pith.science/pith/STI5PRVUIW6KJHWQ4CUWQHPSDR/bundle.json","state":"https://pith.science/pith/STI5PRVUIW6KJHWQ4CUWQHPSDR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/STI5PRVUIW6KJHWQ4CUWQHPSDR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:STI5PRVUIW6KJHWQ4CUWQHPSDR","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":"93a68b9de286f6ad31311ee98e1238defeccfd1462fe843ddc35c59bf5166a22","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-26T13:12:44Z","title_canon_sha256":"5db79dd9281d3f596f1a5300f267c7a7a1ae0f91d7b3a3e7682a7d92ce2b39d1"},"schema_version":"1.0","source":{"id":"1907.11561","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.11561","created_at":"2026-05-17T23:39:28Z"},{"alias_kind":"arxiv_version","alias_value":"1907.11561v1","created_at":"2026-05-17T23:39:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.11561","created_at":"2026-05-17T23:39:28Z"},{"alias_kind":"pith_short_12","alias_value":"STI5PRVUIW6K","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"STI5PRVUIW6KJHWQ","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"STI5PRVU","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:b821a53a16f9a9938f65e29ec378de4b829202bc32c646ca5844690503a1da1f","target":"graph","created_at":"2026-05-17T23:39:28Z","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"},"paper":{"abstract_excerpt":"Biotic stress consists of damage to plants through other living organisms. Efficient control of biotic agents such as pests and pathogens (viruses, fungi, bacteria, etc.) is closely related to the concept of agricultural sustainability. Agricultural sustainability promotes the development of new technologies that allow the reduction of environmental impacts, greater accessibility to farmers and, consequently, increase on productivity. The use of computer vision with deep learning methods allows the early and correct identification of the stress-causing agent. So, corrective measures can be app","authors_text":"J. A. Ventura, J. G. M. Esgario, R. A. Krohling","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-26T13:12:44Z","title":"Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.11561","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:f5a6744bdf648b1d2f590bfc8c52d41a95360a4f663072d9d010001b4e39159d","target":"record","created_at":"2026-05-17T23:39:28Z","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":"93a68b9de286f6ad31311ee98e1238defeccfd1462fe843ddc35c59bf5166a22","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-26T13:12:44Z","title_canon_sha256":"5db79dd9281d3f596f1a5300f267c7a7a1ae0f91d7b3a3e7682a7d92ce2b39d1"},"schema_version":"1.0","source":{"id":"1907.11561","kind":"arxiv","version":1}},"canonical_sha256":"94d1d7c6b445bca49ed0e0a9681df21c41959aa18a708ba78c4a587ab6011846","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"94d1d7c6b445bca49ed0e0a9681df21c41959aa18a708ba78c4a587ab6011846","first_computed_at":"2026-05-17T23:39:28.683416Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:39:28.683416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QrTYLP+adVbbTx3/aksKIjRtv4Nial8C8+lLD1iy1dd+IB5xKgYhcsQHCQOKoQOpXeGBMVxKWLnzD8FAePihAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:39:28.684106Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.11561","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f5a6744bdf648b1d2f590bfc8c52d41a95360a4f663072d9d010001b4e39159d","sha256:b821a53a16f9a9938f65e29ec378de4b829202bc32c646ca5844690503a1da1f"],"state_sha256":"c1020680e74ee11cd5ba5972997d4bf1994bd79b37a571cf2953ba529a0f871f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ztePfJGSRdtAw4Kqi3KRvkLtpStHAqiOsOlSyVKtUD6a9ou7gAzy0+iYIOn579XsCaC/Jsd1VQmPO4IjDLYOCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T20:09:49.844236Z","bundle_sha256":"375f1eef95a0b7985d29e700ac74116d5a63eee0de25cad62bdfaf79b04e8349"}}