{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BAVMPIQZPI2RXDVYZ7PY4OI7CJ","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":"14f9bcab941926b82c4227bfb093bf506885ca38bf6f2c591b96657917885b2b","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-08T14:26:30Z","title_canon_sha256":"d67c3aa38fccae47202a9425ea837ff2752c7181b1c40e7a34eb9f5b6c484d32"},"schema_version":"1.0","source":{"id":"2407.05986","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.05986","created_at":"2026-07-05T08:41:21Z"},{"alias_kind":"arxiv_version","alias_value":"2407.05986v1","created_at":"2026-07-05T08:41:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.05986","created_at":"2026-07-05T08:41:21Z"},{"alias_kind":"pith_short_12","alias_value":"BAVMPIQZPI2R","created_at":"2026-07-05T08:41:21Z"},{"alias_kind":"pith_short_16","alias_value":"BAVMPIQZPI2RXDVY","created_at":"2026-07-05T08:41:21Z"},{"alias_kind":"pith_short_8","alias_value":"BAVMPIQZ","created_at":"2026-07-05T08:41:21Z"}],"graph_snapshots":[{"event_id":"sha256:eca9db1db428a447be3fff597bb48772b77450db189f7834c028b30940035eb9","target":"graph","created_at":"2026-07-05T08:41:21Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2407.05986/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Satellite imagery has emerged as an important tool to analyse demographic, health, and development indicators. While various deep learning models have been built for these tasks, each is specific to a particular problem, with few standard benchmarks available. We propose a new dataset pairing satellite imagery and high-quality survey data on child poverty to benchmark satellite feature representations. Our dataset consists of 33,608 images, each 10 km $\\times$ 10 km, from 19 countries in Eastern and Southern Africa in the time period 1997-2022. As defined by UNICEF, multidimensional child pove","authors_text":"Duy-Nhat Vo, Esra Suel, Fan Yang, Makkunda Sharma, Oliver Fiala, Samir Bhatt, Seth Flaxman, Swapnil Mishra, William Rudgard","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-08T14:26:30Z","title":"KidSat: satellite imagery to map childhood poverty dataset and benchmark"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.05986","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:dbe536738642fc47b9f4f6f3860ad2cfaae192cfb99f70b76cce6763890c7466","target":"record","created_at":"2026-07-05T08:41:21Z","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":"14f9bcab941926b82c4227bfb093bf506885ca38bf6f2c591b96657917885b2b","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-08T14:26:30Z","title_canon_sha256":"d67c3aa38fccae47202a9425ea837ff2752c7181b1c40e7a34eb9f5b6c484d32"},"schema_version":"1.0","source":{"id":"2407.05986","kind":"arxiv","version":1}},"canonical_sha256":"082ac7a2197a351b8eb8cfdf8e391f12577a985a57aa22161ac9ca30428d3539","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"082ac7a2197a351b8eb8cfdf8e391f12577a985a57aa22161ac9ca30428d3539","first_computed_at":"2026-07-05T08:41:21.976008Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:41:21.976008Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Cxf75KndmqdO5bXe8kwVexfLdC3SxEcEvlwY1t0Vs/pYNAQKCKHfX8h+SBhGtOL1ERD6+Jr1q5LskxHmRrFvCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:41:21.976498Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.05986","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dbe536738642fc47b9f4f6f3860ad2cfaae192cfb99f70b76cce6763890c7466","sha256:eca9db1db428a447be3fff597bb48772b77450db189f7834c028b30940035eb9"],"state_sha256":"ed6dea1c7548656b291360b8bbd151b774368423354c5f7cb07d1246f31436a3"}