{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UVDG3H3SGPBDBSGQ2M7B3TSCWC","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":"cc6a22bcdb69c7225f49be308a1e9932b657b52a4e651827bf625d7893cbc576","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-01T23:19:49Z","title_canon_sha256":"d3ff207b8a3fc8fd59511c684b7a88d4a351a5ebfb262730e7ca2f13c92bb158"},"schema_version":"1.0","source":{"id":"2405.00903","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.00903","created_at":"2026-07-05T08:14:27Z"},{"alias_kind":"arxiv_version","alias_value":"2405.00903v1","created_at":"2026-07-05T08:14:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.00903","created_at":"2026-07-05T08:14:27Z"},{"alias_kind":"pith_short_12","alias_value":"UVDG3H3SGPBD","created_at":"2026-07-05T08:14:27Z"},{"alias_kind":"pith_short_16","alias_value":"UVDG3H3SGPBDBSGQ","created_at":"2026-07-05T08:14:27Z"},{"alias_kind":"pith_short_8","alias_value":"UVDG3H3S","created_at":"2026-07-05T08:14:27Z"}],"graph_snapshots":[{"event_id":"sha256:1c0500c48882ae819a93bb437453b17a985fa23007e9594d84bd9c2c7c06d981","target":"graph","created_at":"2026-07-05T08:14:27Z","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/2405.00903/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Over the last decade, similar to other application domains, social media content has been proven very effective in disaster informatics. However, due to the unstructured nature of the data, several challenges are associated with disaster analysis in social media content. To fully explore the potential of social media content in disaster informatics, access to relevant content and the correct geo-location information is very critical. In this paper, we propose a three-step solution to tackling these challenges. Firstly, the proposed solution aims to classify social media posts into relevant and","authors_text":"Ayaz Mehmood, Kashif Ahmad, Muhammad Asif Ayub, Muhammad Tayyab Zamir, Nasir Ahmad","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-01T23:19:49Z","title":"A Named Entity Recognition and Topic Modeling-based Solution for Locating and Better Assessment of Natural Disasters in Social Media"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.00903","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:b4bb2df873594b37260459022117107ff5b96f82d7fa8a2b6f6c1eefd38025a4","target":"record","created_at":"2026-07-05T08:14:27Z","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":"cc6a22bcdb69c7225f49be308a1e9932b657b52a4e651827bf625d7893cbc576","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-01T23:19:49Z","title_canon_sha256":"d3ff207b8a3fc8fd59511c684b7a88d4a351a5ebfb262730e7ca2f13c92bb158"},"schema_version":"1.0","source":{"id":"2405.00903","kind":"arxiv","version":1}},"canonical_sha256":"a5466d9f7233c230c8d0d33e1dce42b0a4d831f536163480e2403bf57a5e9001","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a5466d9f7233c230c8d0d33e1dce42b0a4d831f536163480e2403bf57a5e9001","first_computed_at":"2026-07-05T08:14:27.803866Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:14:27.803866Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z+4Vdbh+oRMblFrCrAPw5uKoCm0gVAuDAKmLt0op5YeKlKjppSm6hXvoH2VFAvR7QlPTsY5PPl/DCqBZdcWkCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:14:27.804364Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.00903","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b4bb2df873594b37260459022117107ff5b96f82d7fa8a2b6f6c1eefd38025a4","sha256:1c0500c48882ae819a93bb437453b17a985fa23007e9594d84bd9c2c7c06d981"],"state_sha256":"2caedcdf58701e35b654ce8ea32f91efc6c68359d47aeb58ab234c54c84bb484"}