{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:V6T7OMKXALPDCVYVCVIXHEES5I","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":"411a293bfa042fb5831758592c141d8647ddbfc5a08a325c9dd9e16271ab93bf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-29T16:12:24Z","title_canon_sha256":"05a579223640a631349f9cc1d8c0ef4dfca47b6576ff0edc50231fa41dd63bfa"},"schema_version":"1.0","source":{"id":"2605.31489","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.31489","created_at":"2026-06-01T02:04:08Z"},{"alias_kind":"arxiv_version","alias_value":"2605.31489v1","created_at":"2026-06-01T02:04:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.31489","created_at":"2026-06-01T02:04:08Z"},{"alias_kind":"pith_short_12","alias_value":"V6T7OMKXALPD","created_at":"2026-06-01T02:04:08Z"},{"alias_kind":"pith_short_16","alias_value":"V6T7OMKXALPDCVYV","created_at":"2026-06-01T02:04:08Z"},{"alias_kind":"pith_short_8","alias_value":"V6T7OMKX","created_at":"2026-06-01T02:04:08Z"}],"graph_snapshots":[{"event_id":"sha256:6e77fd35968bfa74550ecad17c5e4c18e55d107b6132e6c98054b1d38738baa4","target":"graph","created_at":"2026-06-01T02:04:08Z","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/2605.31489/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data scarcity limits inference in many scientific and policy domains. Survey data are essential for decision-making, but sparse samples often fail to capture fine spatial granularities. We evaluate normalizing flows, a generative model that learns complex data distributions and can be conditioned on exogenous contextual features, in controlled data scarcity scenarios. Across eight household survey datasets spanning six low-income or middle-income countries in the humanitarian domain, we show that context-conditioned generative models can refine sub-national survey distributions under severe da","authors_text":"Daniela Paolotti, Duccio Piovani, Federica Sibilla, Kyriacos Koupparis, Kyriaki Kalimeri, Rossano Schifanella, Vasiliki Voukelatou","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-29T16:12:24Z","title":"Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.31489","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:c3fed4ce9e9cd51c8468c4143ef4798a95aa06c19c036d4a246c8e2587ec3525","target":"record","created_at":"2026-06-01T02:04:08Z","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":"411a293bfa042fb5831758592c141d8647ddbfc5a08a325c9dd9e16271ab93bf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-29T16:12:24Z","title_canon_sha256":"05a579223640a631349f9cc1d8c0ef4dfca47b6576ff0edc50231fa41dd63bfa"},"schema_version":"1.0","source":{"id":"2605.31489","kind":"arxiv","version":1}},"canonical_sha256":"afa7f7315702de3157151551739092ea3986d5881c913e6458bb6a9c5e33a296","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"afa7f7315702de3157151551739092ea3986d5881c913e6458bb6a9c5e33a296","first_computed_at":"2026-06-01T02:04:08.777923Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T02:04:08.777923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xmAoVyGj399rH7cYFiwIGiCYD71Bnk89XLFMgzpS1SPetchGVltHQIbZ0A8EXayl4ejqD0gpQTQDOH0rLlcsDg==","signature_status":"signed_v1","signed_at":"2026-06-01T02:04:08.778895Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.31489","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c3fed4ce9e9cd51c8468c4143ef4798a95aa06c19c036d4a246c8e2587ec3525","sha256:6e77fd35968bfa74550ecad17c5e4c18e55d107b6132e6c98054b1d38738baa4"],"state_sha256":"dd3b0e319e3f4907025e2407ce5b7dcddb277c7c8160042cace1f552c4fee458"}