{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:RZKG6KPL7BVD5WEU3C5PPC2JCQ","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":"997e946efb7fa3a4c3d739a45e4e1b60d327f915d80956bf1eaf7b43c74a4172","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2022-11-10T10:09:33Z","title_canon_sha256":"a043c1e0286aa6fdb9e8779ef8e2a464afaadab02656a1b983c1dca3e570a144"},"schema_version":"1.0","source":{"id":"2211.05457","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.05457","created_at":"2026-07-05T06:41:45Z"},{"alias_kind":"arxiv_version","alias_value":"2211.05457v2","created_at":"2026-07-05T06:41:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.05457","created_at":"2026-07-05T06:41:45Z"},{"alias_kind":"pith_short_12","alias_value":"RZKG6KPL7BVD","created_at":"2026-07-05T06:41:45Z"},{"alias_kind":"pith_short_16","alias_value":"RZKG6KPL7BVD5WEU","created_at":"2026-07-05T06:41:45Z"},{"alias_kind":"pith_short_8","alias_value":"RZKG6KPL","created_at":"2026-07-05T06:41:45Z"}],"graph_snapshots":[{"event_id":"sha256:b1ad33d8e2368a491adf964942c5eb204fbe5c3cb2e2b4a0169686fd2a62d281","target":"graph","created_at":"2026-07-05T06:41:45Z","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/2211.05457/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Aspect-based sentiment analysis (ABSA) aims at extracting opinionated aspect terms in review texts and determining their sentiment polarities, which is widely studied in both academia and industry. As a fine-grained classification task, the annotation cost is extremely high. Domain adaptation is a popular solution to alleviate the data deficiency issue in new domains by transferring common knowledge across domains. Most cross-domain ABSA studies are based on structure correspondence learning (SCL), and use pivot features to construct auxiliary tasks for narrowing down the gap between domains. ","authors_text":"Anguo Dong, Cuiyun Gao, Jing Xiao, Lei Wang, Qing Liao, Xuan Wang, Yan Jia","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2022-11-10T10:09:33Z","title":"Syntax-Guided Domain Adaptation for Aspect-based Sentiment Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.05457","kind":"arxiv","version":2},"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":"sha256:2a47cc35b9925cafd067a18bb52688e87b5284c1139d111fc8f27ae75913b6ce","target":"record","created_at":"2026-07-05T06:41:45Z","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":"997e946efb7fa3a4c3d739a45e4e1b60d327f915d80956bf1eaf7b43c74a4172","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2022-11-10T10:09:33Z","title_canon_sha256":"a043c1e0286aa6fdb9e8779ef8e2a464afaadab02656a1b983c1dca3e570a144"},"schema_version":"1.0","source":{"id":"2211.05457","kind":"arxiv","version":2}},"canonical_sha256":"8e546f29ebf86a3ed894d8baf78b4914366ba97691b5153961e7b34a75ab5e11","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8e546f29ebf86a3ed894d8baf78b4914366ba97691b5153961e7b34a75ab5e11","first_computed_at":"2026-07-05T06:41:45.983862Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:41:45.983862Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LBZFl+DUyU4y+/yqZv8/OvyScxeiEC5WO6EB7qNyxa9g36PLjB9dPBdEHvIgOynrb6q2f4dDNC4aZVaHzxoxCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:41:45.984305Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.05457","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a47cc35b9925cafd067a18bb52688e87b5284c1139d111fc8f27ae75913b6ce","sha256:b1ad33d8e2368a491adf964942c5eb204fbe5c3cb2e2b4a0169686fd2a62d281"],"state_sha256":"a6d829ec685a7e527313848a2b9832b7ff3a947302f20a38c84f7f5901da888a"}