{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:5G7CIBVYAXBZHBZ47CCU7WYKOK","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":"9d60eb420d071d85dc3680955524896f97a1aba254489ba8440dab8de7e57390","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-11-01T18:03:22Z","title_canon_sha256":"7304b21759a1266bb420c3a47c5f8248407f6c4f3d64170a8518164c26bc593f"},"schema_version":"1.0","source":{"id":"2011.00578","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.00578","created_at":"2026-07-05T02:21:53Z"},{"alias_kind":"arxiv_version","alias_value":"2011.00578v3","created_at":"2026-07-05T02:21:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.00578","created_at":"2026-07-05T02:21:53Z"},{"alias_kind":"pith_short_12","alias_value":"5G7CIBVYAXBZ","created_at":"2026-07-05T02:21:53Z"},{"alias_kind":"pith_short_16","alias_value":"5G7CIBVYAXBZHBZ4","created_at":"2026-07-05T02:21:53Z"},{"alias_kind":"pith_short_8","alias_value":"5G7CIBVY","created_at":"2026-07-05T02:21:53Z"}],"graph_snapshots":[{"event_id":"sha256:664d70783932fed647d56483e460fb84eb05e1fa7ba21759c941e8eee77ed803","target":"graph","created_at":"2026-07-05T02:21:53Z","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/2011.00578/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper provides a detailed description of a new Twitter-based benchmark dataset for Arabic Sentiment Analysis (ASAD), which is launched in a competition3, sponsored by KAUST for awarding 10000 USD, 5000 USD and 2000 USD to the first, second and third place winners, respectively. Compared to other publicly released Arabic datasets, ASAD is a large, high-quality annotated dataset(including 95K tweets), with three-class sentiment labels (positive, negative and neutral). We presents the details of the data collection process and annotation process. In addition, we implement several baseline mo","authors_text":"Basma Alharbi, Hind Alamro, Inji Ibrahim Jaber, Manal Alshehri, Manal Kalkatawi, Xiangliang Zhang, Zuhair Khayyat","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-11-01T18:03:22Z","title":"ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.00578","kind":"arxiv","version":3},"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":"sha256:672d7bbcf53dcad5529de2a22773a02020834d6b1c1ce425a78b500f03d86f06","target":"record","created_at":"2026-07-05T02:21:53Z","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":"9d60eb420d071d85dc3680955524896f97a1aba254489ba8440dab8de7e57390","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-11-01T18:03:22Z","title_canon_sha256":"7304b21759a1266bb420c3a47c5f8248407f6c4f3d64170a8518164c26bc593f"},"schema_version":"1.0","source":{"id":"2011.00578","kind":"arxiv","version":3}},"canonical_sha256":"e9be2406b805c393873cf8854fdb0a72800795ae570a530ab630bc805c63bcaf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e9be2406b805c393873cf8854fdb0a72800795ae570a530ab630bc805c63bcaf","first_computed_at":"2026-07-05T02:21:53.593972Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:21:53.593972Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"u5C8o/jZcSpEWUx1pQQLmQ/dhxO7GuQqjhbplDzW3lGASftcm7r+3H8AlgUbuZXqe2sLiiGVpGQ3OJF8zO4DAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:21:53.594478Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.00578","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:672d7bbcf53dcad5529de2a22773a02020834d6b1c1ce425a78b500f03d86f06","sha256:664d70783932fed647d56483e460fb84eb05e1fa7ba21759c941e8eee77ed803"],"state_sha256":"e03ef56bee69a2ea8e4aa706120f6899e6d153e380105b117697920223234a73"}