{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:3OEUEJ35JMPRNSCERV3X5OK3BB","short_pith_number":"pith:3OEUEJ35","canonical_record":{"source":{"id":"2303.06605","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-03-12T08:14:16Z","cross_cats_sorted":[],"title_canon_sha256":"cb849ebd46cf5f0f95b6ff75459f3079d98ee1b9e5cd44b8e11f7f8b5b1098ff","abstract_canon_sha256":"8bb27c13ee1a80a7f8253397376b73ad76c15f8d008af836b52d909c178c013a"},"schema_version":"1.0"},"canonical_sha256":"db8942277d4b1f16c8448d777eb95b0878540e2094560563261cda8a2b9ab958","source":{"kind":"arxiv","id":"2303.06605","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.06605","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"arxiv_version","alias_value":"2303.06605v1","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.06605","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"pith_short_12","alias_value":"3OEUEJ35JMPR","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"pith_short_16","alias_value":"3OEUEJ35JMPRNSCE","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"pith_short_8","alias_value":"3OEUEJ35","created_at":"2026-07-05T05:50:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:3OEUEJ35JMPRNSCERV3X5OK3BB","target":"record","payload":{"canonical_record":{"source":{"id":"2303.06605","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-03-12T08:14:16Z","cross_cats_sorted":[],"title_canon_sha256":"cb849ebd46cf5f0f95b6ff75459f3079d98ee1b9e5cd44b8e11f7f8b5b1098ff","abstract_canon_sha256":"8bb27c13ee1a80a7f8253397376b73ad76c15f8d008af836b52d909c178c013a"},"schema_version":"1.0"},"canonical_sha256":"db8942277d4b1f16c8448d777eb95b0878540e2094560563261cda8a2b9ab958","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:50:20.906745Z","signature_b64":"vNx46A9Cd6J2984x/ZsEpBzQWTQrMtY2f2l9Q7k8jKLTbQJHdXC4Rniy2LiEV80vDT9LDWHMMm0oIH+lWClsAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"db8942277d4b1f16c8448d777eb95b0878540e2094560563261cda8a2b9ab958","last_reissued_at":"2026-07-05T05:50:20.906306Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:50:20.906306Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.06605","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:50:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b3WlVgZyTKAdU+UfSpnUIMACMUK2fXv7sx2apql2FmMaxie15Y4xeyrM1HifD6FMMZYmSeWGWtGTc4syJoW7CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T15:37:32.934886Z"},"content_sha256":"9731ac150617a4c9bd5db4f954bb50ca205a1e992012e06ad1a539d25d57290a","schema_version":"1.0","event_id":"sha256:9731ac150617a4c9bd5db4f954bb50ca205a1e992012e06ad1a539d25d57290a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:3OEUEJ35JMPRNSCERV3X5OK3BB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improve Retrieval-based Dialogue System via Syntax-Informed Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Ji Jiang, Nuo Chen, Tengtao Song, Yuexian Zou, Zhihong Zhu","submitted_at":"2023-03-12T08:14:16Z","abstract_excerpt":"Multi-turn response selection is a challenging task due to its high demands on efficient extraction of the matching features from abundant information provided by context utterances. Since incorporating syntactic information like dependency structures into neural models can promote a better understanding of the sentences, such a method has been widely used in NLP tasks. Though syntactic information helps models achieved pleasing results, its application in retrieval-based dialogue systems has not been fully explored. Meanwhile, previous works focus on intra-sentence syntax alone, which is far "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.06605","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2303.06605/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:50:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6DeAIcDxIH1Y8ORYowKLkfrTTXvf6nb2RCyF9piQ+X6a/zX0zcPq+oJ5U5nasSxZU9kVAzKNmoytXwqrIBPgCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T15:37:32.935575Z"},"content_sha256":"28e326f00c0932d51817331886a264de25d9d98d63027c988b9f4cd0d6079561","schema_version":"1.0","event_id":"sha256:28e326f00c0932d51817331886a264de25d9d98d63027c988b9f4cd0d6079561"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3OEUEJ35JMPRNSCERV3X5OK3BB/bundle.json","state_url":"https://pith.science/pith/3OEUEJ35JMPRNSCERV3X5OK3BB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3OEUEJ35JMPRNSCERV3X5OK3BB/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-05T15:37:32Z","links":{"resolver":"https://pith.science/pith/3OEUEJ35JMPRNSCERV3X5OK3BB","bundle":"https://pith.science/pith/3OEUEJ35JMPRNSCERV3X5OK3BB/bundle.json","state":"https://pith.science/pith/3OEUEJ35JMPRNSCERV3X5OK3BB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3OEUEJ35JMPRNSCERV3X5OK3BB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:3OEUEJ35JMPRNSCERV3X5OK3BB","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":"8bb27c13ee1a80a7f8253397376b73ad76c15f8d008af836b52d909c178c013a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-03-12T08:14:16Z","title_canon_sha256":"cb849ebd46cf5f0f95b6ff75459f3079d98ee1b9e5cd44b8e11f7f8b5b1098ff"},"schema_version":"1.0","source":{"id":"2303.06605","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.06605","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"arxiv_version","alias_value":"2303.06605v1","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.06605","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"pith_short_12","alias_value":"3OEUEJ35JMPR","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"pith_short_16","alias_value":"3OEUEJ35JMPRNSCE","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"pith_short_8","alias_value":"3OEUEJ35","created_at":"2026-07-05T05:50:20Z"}],"graph_snapshots":[{"event_id":"sha256:28e326f00c0932d51817331886a264de25d9d98d63027c988b9f4cd0d6079561","target":"graph","created_at":"2026-07-05T05:50:20Z","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/2303.06605/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-turn response selection is a challenging task due to its high demands on efficient extraction of the matching features from abundant information provided by context utterances. Since incorporating syntactic information like dependency structures into neural models can promote a better understanding of the sentences, such a method has been widely used in NLP tasks. Though syntactic information helps models achieved pleasing results, its application in retrieval-based dialogue systems has not been fully explored. Meanwhile, previous works focus on intra-sentence syntax alone, which is far ","authors_text":"Ji Jiang, Nuo Chen, Tengtao Song, Yuexian Zou, Zhihong Zhu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-03-12T08:14:16Z","title":"Improve Retrieval-based Dialogue System via Syntax-Informed Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.06605","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":"sha256:9731ac150617a4c9bd5db4f954bb50ca205a1e992012e06ad1a539d25d57290a","target":"record","created_at":"2026-07-05T05:50:20Z","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":"8bb27c13ee1a80a7f8253397376b73ad76c15f8d008af836b52d909c178c013a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-03-12T08:14:16Z","title_canon_sha256":"cb849ebd46cf5f0f95b6ff75459f3079d98ee1b9e5cd44b8e11f7f8b5b1098ff"},"schema_version":"1.0","source":{"id":"2303.06605","kind":"arxiv","version":1}},"canonical_sha256":"db8942277d4b1f16c8448d777eb95b0878540e2094560563261cda8a2b9ab958","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db8942277d4b1f16c8448d777eb95b0878540e2094560563261cda8a2b9ab958","first_computed_at":"2026-07-05T05:50:20.906306Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:50:20.906306Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vNx46A9Cd6J2984x/ZsEpBzQWTQrMtY2f2l9Q7k8jKLTbQJHdXC4Rniy2LiEV80vDT9LDWHMMm0oIH+lWClsAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:50:20.906745Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.06605","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9731ac150617a4c9bd5db4f954bb50ca205a1e992012e06ad1a539d25d57290a","sha256:28e326f00c0932d51817331886a264de25d9d98d63027c988b9f4cd0d6079561"],"state_sha256":"c1e43152bcbac1b03b8aa0de6c768430c25e474e5b15c64a9f5c77a2c04cec76"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JAa5KQRT75vhlkLCFggti6q+Q+0mL3jv0MvbM00wAi4FLlcR/ECIHsryBy6sNoalAQcab8QxaefzzgH73HcHAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T15:37:32.938862Z","bundle_sha256":"19808477a5ff4ffc66943f7ccb336161923eafbae3aa138c3b41f5678d5a90f8"}}