{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:V6X6TQ5UHQVANVU5TRTB5746IB","short_pith_number":"pith:V6X6TQ5U","canonical_record":{"source":{"id":"1904.01994","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2019-04-03T13:29:58Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"2fd54306b121231d0b4cdf8e245134a5e232595f1a4afa50819155a402a9441a","abstract_canon_sha256":"fdacc488063d10fd8ac54e30c4d8d5c5d20ad956e0aa80487d4929e242c58d93"},"schema_version":"1.0"},"canonical_sha256":"afafe9c3b43c2a06d69d9c661eff9e407117fdd04f71f5e8693df3700f52cc14","source":{"kind":"arxiv","id":"1904.01994","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.01994","created_at":"2026-05-17T23:49:29Z"},{"alias_kind":"arxiv_version","alias_value":"1904.01994v1","created_at":"2026-05-17T23:49:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.01994","created_at":"2026-05-17T23:49:29Z"},{"alias_kind":"pith_short_12","alias_value":"V6X6TQ5UHQVA","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"V6X6TQ5UHQVANVU5","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"V6X6TQ5U","created_at":"2026-05-18T12:33:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:V6X6TQ5UHQVANVU5TRTB5746IB","target":"record","payload":{"canonical_record":{"source":{"id":"1904.01994","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2019-04-03T13:29:58Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"2fd54306b121231d0b4cdf8e245134a5e232595f1a4afa50819155a402a9441a","abstract_canon_sha256":"fdacc488063d10fd8ac54e30c4d8d5c5d20ad956e0aa80487d4929e242c58d93"},"schema_version":"1.0"},"canonical_sha256":"afafe9c3b43c2a06d69d9c661eff9e407117fdd04f71f5e8693df3700f52cc14","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:49:29.045414Z","signature_b64":"XzYBj3qSn+n9F5nPguLUvJRbRDqjNPmwDPGk1pxM+vhvcttvckm9wZA1HGSuxIPp0XapRPlVmCW/Lld9toXqDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"afafe9c3b43c2a06d69d9c661eff9e407117fdd04f71f5e8693df3700f52cc14","last_reissued_at":"2026-05-17T23:49:29.044701Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:49:29.044701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.01994","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":"2026-05-17T23:49:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gbk6J13ko24petVo8mMsm8kMGociBOWJJ7LpGEBHB6KtinJuW/6z8Zl0HujKo/d0hntL3JYsoscbA4dvRJpuCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T04:26:57.418942Z"},"content_sha256":"0260487e2d14d3782c3baaba6c16770a055941dbf08f7c0cd4e6fcecace82ebc","schema_version":"1.0","event_id":"sha256:0260487e2d14d3782c3baaba6c16770a055941dbf08f7c0cd4e6fcecace82ebc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:V6X6TQ5UHQVANVU5TRTB5746IB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Landscape Features for Improving Vector-borne Disease Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.CY","authors_text":"Nabeel Abdur Rehman, Rumi Chunara, Umar Saif","submitted_at":"2019-04-03T13:29:58Z","abstract_excerpt":"The global population at risk of mosquito-borne diseases such as dengue, yellow fever, chikungunya and Zika is expanding. Infectious disease models commonly incorporate environmental measures like temperature and precipitation. Given increasing availability of high-resolution satellite imagery, here we consider including landscape features from satellite imagery into infectious disease prediction models. To do so, we implement a Convolutional Neural Network (CNN) model trained on Imagenet data and labelled landscape features in satellite data from London. We then incorporate landscape features"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.01994","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":"2026-05-17T23:49:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tjKn51ojkshro35kfLYiz4GnSsfOOyCBxosxGi4e0aWXBs3/DvryTN9CUcEWbxXlnVFfwHxZvPPtwRL8X3hDDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T04:26:57.419288Z"},"content_sha256":"c23e66165b517d0c7b980522717f4e9282719ce135fb966e3d494032408f79ae","schema_version":"1.0","event_id":"sha256:c23e66165b517d0c7b980522717f4e9282719ce135fb966e3d494032408f79ae"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V6X6TQ5UHQVANVU5TRTB5746IB/bundle.json","state_url":"https://pith.science/pith/V6X6TQ5UHQVANVU5TRTB5746IB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V6X6TQ5UHQVANVU5TRTB5746IB/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":"2026-06-25T04:26:57Z","links":{"resolver":"https://pith.science/pith/V6X6TQ5UHQVANVU5TRTB5746IB","bundle":"https://pith.science/pith/V6X6TQ5UHQVANVU5TRTB5746IB/bundle.json","state":"https://pith.science/pith/V6X6TQ5UHQVANVU5TRTB5746IB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V6X6TQ5UHQVANVU5TRTB5746IB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:V6X6TQ5UHQVANVU5TRTB5746IB","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":"fdacc488063d10fd8ac54e30c4d8d5c5d20ad956e0aa80487d4929e242c58d93","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2019-04-03T13:29:58Z","title_canon_sha256":"2fd54306b121231d0b4cdf8e245134a5e232595f1a4afa50819155a402a9441a"},"schema_version":"1.0","source":{"id":"1904.01994","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.01994","created_at":"2026-05-17T23:49:29Z"},{"alias_kind":"arxiv_version","alias_value":"1904.01994v1","created_at":"2026-05-17T23:49:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.01994","created_at":"2026-05-17T23:49:29Z"},{"alias_kind":"pith_short_12","alias_value":"V6X6TQ5UHQVA","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"V6X6TQ5UHQVANVU5","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"V6X6TQ5U","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:c23e66165b517d0c7b980522717f4e9282719ce135fb966e3d494032408f79ae","target":"graph","created_at":"2026-05-17T23:49:29Z","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":"The global population at risk of mosquito-borne diseases such as dengue, yellow fever, chikungunya and Zika is expanding. Infectious disease models commonly incorporate environmental measures like temperature and precipitation. Given increasing availability of high-resolution satellite imagery, here we consider including landscape features from satellite imagery into infectious disease prediction models. To do so, we implement a Convolutional Neural Network (CNN) model trained on Imagenet data and labelled landscape features in satellite data from London. We then incorporate landscape features","authors_text":"Nabeel Abdur Rehman, Rumi Chunara, Umar Saif","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2019-04-03T13:29:58Z","title":"Deep Landscape Features for Improving Vector-borne Disease Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.01994","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":"sha256:0260487e2d14d3782c3baaba6c16770a055941dbf08f7c0cd4e6fcecace82ebc","target":"record","created_at":"2026-05-17T23:49:29Z","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":"fdacc488063d10fd8ac54e30c4d8d5c5d20ad956e0aa80487d4929e242c58d93","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2019-04-03T13:29:58Z","title_canon_sha256":"2fd54306b121231d0b4cdf8e245134a5e232595f1a4afa50819155a402a9441a"},"schema_version":"1.0","source":{"id":"1904.01994","kind":"arxiv","version":1}},"canonical_sha256":"afafe9c3b43c2a06d69d9c661eff9e407117fdd04f71f5e8693df3700f52cc14","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"afafe9c3b43c2a06d69d9c661eff9e407117fdd04f71f5e8693df3700f52cc14","first_computed_at":"2026-05-17T23:49:29.044701Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:49:29.044701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XzYBj3qSn+n9F5nPguLUvJRbRDqjNPmwDPGk1pxM+vhvcttvckm9wZA1HGSuxIPp0XapRPlVmCW/Lld9toXqDg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:49:29.045414Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.01994","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0260487e2d14d3782c3baaba6c16770a055941dbf08f7c0cd4e6fcecace82ebc","sha256:c23e66165b517d0c7b980522717f4e9282719ce135fb966e3d494032408f79ae"],"state_sha256":"7e70342798666057f16e36f62da5b7a89660560510dae6cd861c8238e509ab89"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qN8IhkyRT0+GIQNZw1n6+Tyz0bRNYI7vMdqIdXGJLMYTDBX9LDgVr8g0SSXen318oRkqaaSJZyo4+iurJHGDDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T04:26:57.421391Z","bundle_sha256":"4732a410794a39df52526e5c2eb306a95e78d26cc5fcbb232e73a3cc8b0cfb1c"}}