{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DBP4RC7R3SVTBJ6MMNBHWXVH6I","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":"2181c581f6a0dbd1db1e8f38c1beac8a76d7a259087a13c3e936a15a9bab49f8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T20:13:02Z","title_canon_sha256":"f4fa23784e39bacfff467b51317611beaa3fc9b2d728a9266e851f112aeb1008"},"schema_version":"1.0","source":{"id":"2605.30538","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30538","created_at":"2026-06-01T01:02:59Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30538v1","created_at":"2026-06-01T01:02:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30538","created_at":"2026-06-01T01:02:59Z"},{"alias_kind":"pith_short_12","alias_value":"DBP4RC7R3SVT","created_at":"2026-06-01T01:02:59Z"},{"alias_kind":"pith_short_16","alias_value":"DBP4RC7R3SVTBJ6M","created_at":"2026-06-01T01:02:59Z"},{"alias_kind":"pith_short_8","alias_value":"DBP4RC7R","created_at":"2026-06-01T01:02:59Z"}],"graph_snapshots":[{"event_id":"sha256:0d24908eea0dec1a58ebf43eb9af22ba50a84c6cc51e94ea5a4d69e748917871","target":"graph","created_at":"2026-06-01T01:02:59Z","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/2605.30538/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Disasters are inevitable and increasingly costly, and effective response depends on querying structured tabular data: precise, information-dense records of hazard, exposure, vulnerability, and lifeline infrastructure that underpin disaster management. Current text-to-SQL methods enable natural-language access to such tables but transfer poorly to the disaster domain, where queries span heterogeneous geospatial schemas and require reasoning over causal relations. We introduce DisasterLex, a knowledge-graph-mediated framework that inserts an Expert Knowledge Graph (EKG) of curated concepts and t","authors_text":"Ali Mostafavi, Ankit Basu, Christian Swords, Kai Yin, Sahil Vartak, Yiming Xiao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T20:13:02Z","title":"DisasterLex: An Expert Concept-to-Schema Knowledge Graph for Geospatial Reasoning in Disaster Analytics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30538","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:f6a5a797ac006cfdd043ce579007b5b5f18a88234ce460676895e147bfc9c012","target":"record","created_at":"2026-06-01T01:02:59Z","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":"2181c581f6a0dbd1db1e8f38c1beac8a76d7a259087a13c3e936a15a9bab49f8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T20:13:02Z","title_canon_sha256":"f4fa23784e39bacfff467b51317611beaa3fc9b2d728a9266e851f112aeb1008"},"schema_version":"1.0","source":{"id":"2605.30538","kind":"arxiv","version":1}},"canonical_sha256":"185fc88bf1dcab30a7cc63427b5ea7f23fed87f7984678a6b42cfa2d03f14623","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"185fc88bf1dcab30a7cc63427b5ea7f23fed87f7984678a6b42cfa2d03f14623","first_computed_at":"2026-06-01T01:02:59.726022Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:02:59.726022Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ln7PyH5Q+pqSnAh8rdLhc8FRNc8MGphpC9IyI44wmCREleVjEo7y84vLsEFq7NWvKzKU6RFX+W+e66Exie/NCg==","signature_status":"signed_v1","signed_at":"2026-06-01T01:02:59.726868Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.30538","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f6a5a797ac006cfdd043ce579007b5b5f18a88234ce460676895e147bfc9c012","sha256:0d24908eea0dec1a58ebf43eb9af22ba50a84c6cc51e94ea5a4d69e748917871"],"state_sha256":"774030ab577030b77c4b511bcc6412669bd8195c0fd2512c12d8c59fcbe7276a"}