{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:S4SG4TGFDU6TUMQ5HHPMFU7O33","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":"f1fa5dddde185e0f56ba666419e7fb0b66d46d3aa98933b6e4b9bce8c9ec79ab","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-06T09:05:42Z","title_canon_sha256":"a35bf9c7ca7dc67988f061daca44a4a70856b2cb6f46dac7589ffc4cb03ce9f0"},"schema_version":"1.0","source":{"id":"2203.02912","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.02912","created_at":"2026-07-05T04:02:28Z"},{"alias_kind":"arxiv_version","alias_value":"2203.02912v1","created_at":"2026-07-05T04:02:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.02912","created_at":"2026-07-05T04:02:28Z"},{"alias_kind":"pith_short_12","alias_value":"S4SG4TGFDU6T","created_at":"2026-07-05T04:02:28Z"},{"alias_kind":"pith_short_16","alias_value":"S4SG4TGFDU6TUMQ5","created_at":"2026-07-05T04:02:28Z"},{"alias_kind":"pith_short_8","alias_value":"S4SG4TGF","created_at":"2026-07-05T04:02:28Z"}],"graph_snapshots":[{"event_id":"sha256:0f259eb8ac4043c054685e59b541c152901523ecf09de3b4a9444f9558c7418c","target":"graph","created_at":"2026-07-05T04:02:28Z","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/2203.02912/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Online social media works as a source of various valuable and actionable information during disasters. These information might be available in multiple languages due to the nature of user generated content. An effective system to automatically identify and categorize these actionable information should be capable to handle multiple languages and under limited supervision. However, existing works mostly focus on English language only with the assumption that sufficient labeled data is available. To overcome these challenges, we propose a multilingual disaster related text classification system ","authors_text":"Maunendra Sankar Desarkar, Samujjwal Ghosh, Subhadeep Maji","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-06T09:05:42Z","title":"Graph Neural Network Enhanced Language Models for Efficient Multilingual Text Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.02912","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":"sha256:51526f5816d10ffb42b86624f0690991994fb7de8ed1f6a6bb964345ffd9d3ed","target":"record","created_at":"2026-07-05T04:02:28Z","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":"f1fa5dddde185e0f56ba666419e7fb0b66d46d3aa98933b6e4b9bce8c9ec79ab","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-06T09:05:42Z","title_canon_sha256":"a35bf9c7ca7dc67988f061daca44a4a70856b2cb6f46dac7589ffc4cb03ce9f0"},"schema_version":"1.0","source":{"id":"2203.02912","kind":"arxiv","version":1}},"canonical_sha256":"97246e4cc51d3d3a321d39dec2d3eedee556d50dda105e949589125d02d97543","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"97246e4cc51d3d3a321d39dec2d3eedee556d50dda105e949589125d02d97543","first_computed_at":"2026-07-05T04:02:28.990340Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:02:28.990340Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GNtQgfKnR/pIyBHW7VRSY4xtpD5ufuJh35MQ1Wbqb+vFA7HrXousPsuL3kpJ7W3Kkd19qPB2Vy+hdJZliONkCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:02:28.990745Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.02912","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:51526f5816d10ffb42b86624f0690991994fb7de8ed1f6a6bb964345ffd9d3ed","sha256:0f259eb8ac4043c054685e59b541c152901523ecf09de3b4a9444f9558c7418c"],"state_sha256":"77a562e9defae21815d101e411ab2fcda7155657d7cf12632aded71b829368c7"}