{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:JPDDG6NQYQ3H2IDEOP5GCAE6HP","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":"d76d7048e6c375bae8c59ce42a59230088851a0e278f574608e346fb9635167a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-02-13T21:52:17Z","title_canon_sha256":"e99cad63a482c97ff18f4d137b91577f250c9d2858d7f828155cd4916598ed6c"},"schema_version":"1.0","source":{"id":"1902.11110","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.11110","created_at":"2026-05-17T23:47:43Z"},{"alias_kind":"arxiv_version","alias_value":"1902.11110v2","created_at":"2026-05-17T23:47:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.11110","created_at":"2026-05-17T23:47:43Z"},{"alias_kind":"pith_short_12","alias_value":"JPDDG6NQYQ3H","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"JPDDG6NQYQ3H2IDE","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"JPDDG6NQ","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:d96e4087ee189d5a78f4bffb41b06dfa917bc7e66a63dd3396438130d3bddb3b","target":"graph","created_at":"2026-05-17T23:47:43Z","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":"Obtaining reliable data describing local poverty metrics at a granularity that is informative to policy-makers requires expensive and logistically difficult surveys, particularly in the developing world. Not surprisingly, the poverty stricken regions are also the ones which have a high probability of being a war zone, have poor infrastructure and sometimes have governments that do not cooperate with internationally funded development efforts. We train a CNN on free and publicly available daytime satellite images of the African continent from Landsat 7 to build a model for predicting local econ","authors_text":"Anthony Perez, David Lobell, George Azzari, Marshall Burke, Stefano Ermon, Swetava Ganguli","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-02-13T21:52:17Z","title":"Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.11110","kind":"arxiv","version":2},"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:c5ea7278ce8688660cac1488b0b822665f40fb4ce47d516202feeead629853c0","target":"record","created_at":"2026-05-17T23:47:43Z","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":"d76d7048e6c375bae8c59ce42a59230088851a0e278f574608e346fb9635167a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-02-13T21:52:17Z","title_canon_sha256":"e99cad63a482c97ff18f4d137b91577f250c9d2858d7f828155cd4916598ed6c"},"schema_version":"1.0","source":{"id":"1902.11110","kind":"arxiv","version":2}},"canonical_sha256":"4bc63379b0c4367d206473fa61009e3bcb915f91da9357982076c76197a47c44","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4bc63379b0c4367d206473fa61009e3bcb915f91da9357982076c76197a47c44","first_computed_at":"2026-05-17T23:47:43.761236Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:43.761236Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"W0twwJm/Kx3vQTBUozX+MKe2sJSiMkwuPuW/d+4B8aeaCxHuLhAifdosVRhGSm1pmbHtSw19bC+O5ivCUqeICQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:43.761820Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.11110","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c5ea7278ce8688660cac1488b0b822665f40fb4ce47d516202feeead629853c0","sha256:d96e4087ee189d5a78f4bffb41b06dfa917bc7e66a63dd3396438130d3bddb3b"],"state_sha256":"5242d34c7b9fd0e28a5e063d5b9b77272a23513988d9a1ea2ce8264682f918f7"}