{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GF652WYC5S4I2FPCS3C5T7WK76","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":"aeef53647978b7c990c525d55f57c34c9ee5427a4bee6394e84c2b76998313c1","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-16T07:17:27Z","title_canon_sha256":"db92ff13bf488d9db3ab34234a92973baffcc874454a88acc10cb508e24c4257"},"schema_version":"1.0","source":{"id":"2210.08471","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.08471","created_at":"2026-07-05T06:44:05Z"},{"alias_kind":"arxiv_version","alias_value":"2210.08471v5","created_at":"2026-07-05T06:44:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.08471","created_at":"2026-07-05T06:44:05Z"},{"alias_kind":"pith_short_12","alias_value":"GF652WYC5S4I","created_at":"2026-07-05T06:44:05Z"},{"alias_kind":"pith_short_16","alias_value":"GF652WYC5S4I2FPC","created_at":"2026-07-05T06:44:05Z"},{"alias_kind":"pith_short_8","alias_value":"GF652WYC","created_at":"2026-07-05T06:44:05Z"}],"graph_snapshots":[{"event_id":"sha256:67fc099d574953ade56b135698f9335cda4e6fb94d0234350df6a2eb54974ddb","target":"graph","created_at":"2026-07-05T06:44:05Z","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/2210.08471/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transformer-based pre-trained models like BERT have achieved great progress on Semantic Sentence Matching. Meanwhile, dependency prior knowledge has also shown general benefits in multiple NLP tasks. However, how to efficiently integrate dependency prior structure into pre-trained models to better model complex semantic matching relations is still unsettled. In this paper, we propose the \\textbf{D}ependency-Enhanced \\textbf{A}daptive \\textbf{F}usion \\textbf{A}ttention (\\textbf{DAFA}), which explicitly introduces dependency structure into pre-trained models and adaptively fuses it with semantic","authors_text":"Di Liang, Jian Song, Minlong Peng, Rumei Li, Sirui Wang, Wei Wu, Yongxin Yu, Yuntao Li","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-16T07:17:27Z","title":"Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.08471","kind":"arxiv","version":5},"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:ed9fc95f8cce7cb6eb0a4b623dc20f219e552efcc4c6cce190a7568cab8069b6","target":"record","created_at":"2026-07-05T06:44:05Z","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":"aeef53647978b7c990c525d55f57c34c9ee5427a4bee6394e84c2b76998313c1","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-16T07:17:27Z","title_canon_sha256":"db92ff13bf488d9db3ab34234a92973baffcc874454a88acc10cb508e24c4257"},"schema_version":"1.0","source":{"id":"2210.08471","kind":"arxiv","version":5}},"canonical_sha256":"317ddd5b02ecb88d15e296c5d9fecaff8601543a80830f9a1a710c2cf3c0f479","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"317ddd5b02ecb88d15e296c5d9fecaff8601543a80830f9a1a710c2cf3c0f479","first_computed_at":"2026-07-05T06:44:05.218150Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:44:05.218150Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0ipM+t5Tls8WZwpjfN0G/UzqdTODNM7zAIwtIxHuZX24wt3LYH0pTuCfwS5ViHMjZPfWDx2jS8E7VJMUpfmMAA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:44:05.218689Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.08471","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed9fc95f8cce7cb6eb0a4b623dc20f219e552efcc4c6cce190a7568cab8069b6","sha256:67fc099d574953ade56b135698f9335cda4e6fb94d0234350df6a2eb54974ddb"],"state_sha256":"516c57e91a338a75017a7d20cf2b878779bc462dea1a78cce477349a4ded25f6"}