{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:QCGQXO7KE4WMTUIOPEXFQDOY3Z","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":"62690ac1eae5b715eeee453e160fd9eb9c5d7d48c273ec7112d12aff54967c49","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-11-17T14:50:55Z","title_canon_sha256":"8376a7c5589a4080411d06460d33bb36144979eb94ecb960e005ced162032d9a"},"schema_version":"1.0","source":{"id":"2011.08678","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.08678","created_at":"2026-07-05T02:16:16Z"},{"alias_kind":"arxiv_version","alias_value":"2011.08678v2","created_at":"2026-07-05T02:16:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.08678","created_at":"2026-07-05T02:16:16Z"},{"alias_kind":"pith_short_12","alias_value":"QCGQXO7KE4WM","created_at":"2026-07-05T02:16:16Z"},{"alias_kind":"pith_short_16","alias_value":"QCGQXO7KE4WMTUIO","created_at":"2026-07-05T02:16:16Z"},{"alias_kind":"pith_short_8","alias_value":"QCGQXO7K","created_at":"2026-07-05T02:16:16Z"}],"graph_snapshots":[{"event_id":"sha256:aa18b62e16eda25ac26e4547f6b8bb33a6fe7b5fcf1ba2955e19ff8c44f33270","target":"graph","created_at":"2026-07-05T02:16:16Z","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/2011.08678/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sentiment analysis of user-generated reviews or comments on products and services in social networks can help enterprises to analyze the feedback from customers and take corresponding actions for improvement. To mitigate large-scale annotations on the target domain, domain adaptation (DA) provides an alternate solution by learning a transferable model from other labeled source domains. Existing multi-source domain adaptation (MDA) methods either fail to extract some discriminative features in the target domain that are related to sentiment, neglect the correlations of different sources and the","authors_text":"Jiang Guo, Jufeng Yang, Kurt Keutzer, Pengfei Xu, Ravi Krishna, Sicheng Zhao, Xiangyu Yue, Yang Xiao","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-11-17T14:50:55Z","title":"Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.08678","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:b4d1f609e24bc70691c547c9303227843842fa3163be3258b50a7c5a971c39a7","target":"record","created_at":"2026-07-05T02:16:16Z","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":"62690ac1eae5b715eeee453e160fd9eb9c5d7d48c273ec7112d12aff54967c49","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-11-17T14:50:55Z","title_canon_sha256":"8376a7c5589a4080411d06460d33bb36144979eb94ecb960e005ced162032d9a"},"schema_version":"1.0","source":{"id":"2011.08678","kind":"arxiv","version":2}},"canonical_sha256":"808d0bbbea272cc9d10e792e580dd8de6d10ba1c578f1f6b20a4a7e1a8fa888c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"808d0bbbea272cc9d10e792e580dd8de6d10ba1c578f1f6b20a4a7e1a8fa888c","first_computed_at":"2026-07-05T02:16:16.201580Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:16:16.201580Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bN5OvoIpVQq/6i8djcoEkHLiApZk8s8MJfzxeFJ/kDNyfvdEZ/9QfccUTSIKYaM99IW2ZMuqFAFA1asoNwPuAg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:16:16.202092Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.08678","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b4d1f609e24bc70691c547c9303227843842fa3163be3258b50a7c5a971c39a7","sha256:aa18b62e16eda25ac26e4547f6b8bb33a6fe7b5fcf1ba2955e19ff8c44f33270"],"state_sha256":"e2bd67bfc191658a6e7d218c1a12682b126ac7f63bb5372242115712958c9359"}