{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:OQVLCAPD7P46S6K75EFOXWKV2O","short_pith_number":"pith:OQVLCAPD","schema_version":"1.0","canonical_sha256":"742ab101e3fbf9e9795fe90aebd955d3b1ff9d8922af49832393edee608449d5","source":{"kind":"arxiv","id":"1906.04362","version":1},"attestation_state":"computed","paper":{"title":"A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Can Xu, Chongyang Tao, Dongyan Zhao, Rui Yan, Wei Wu, Xueliang Zhao","submitted_at":"2019-06-11T03:00:34Z","abstract_excerpt":"We present a document-grounded matching network (DGMN) for response selection that can power a knowledge-aware retrieval-based chatbot system. The challenges of building such a model lie in how to ground conversation contexts with background documents and how to recognize important information in the documents for matching. To overcome the challenges, DGMN fuses information in a document and a context into representations of each other, and dynamically determines if grounding is necessary and importance of different parts of the document and the context through hierarchical interaction with a "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1906.04362","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-11T03:00:34Z","cross_cats_sorted":[],"title_canon_sha256":"b3c261de5a99a688c2da84e0851aed992d1cd6b74a45cd8341256934906fd7fa","abstract_canon_sha256":"adade17bceae848b55c6f547aa16b5b86a65a7d6a355250f04ed2d9c9fa89a30"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:39.562779Z","signature_b64":"h4zklqdwg0TDVqJfPvM54vn27g2o+Gg9oQUigG6ZZxckCcs6l6whpIrzhQB+F6rYVeq5Etv/Otg6tFHCGeoaDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"742ab101e3fbf9e9795fe90aebd955d3b1ff9d8922af49832393edee608449d5","last_reissued_at":"2026-05-17T23:43:39.562199Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:39.562199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Can Xu, Chongyang Tao, Dongyan Zhao, Rui Yan, Wei Wu, Xueliang Zhao","submitted_at":"2019-06-11T03:00:34Z","abstract_excerpt":"We present a document-grounded matching network (DGMN) for response selection that can power a knowledge-aware retrieval-based chatbot system. The challenges of building such a model lie in how to ground conversation contexts with background documents and how to recognize important information in the documents for matching. To overcome the challenges, DGMN fuses information in a document and a context into representations of each other, and dynamically determines if grounding is necessary and importance of different parts of the document and the context through hierarchical interaction with a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.04362","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1906.04362","created_at":"2026-05-17T23:43:39.562277+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.04362v1","created_at":"2026-05-17T23:43:39.562277+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.04362","created_at":"2026-05-17T23:43:39.562277+00:00"},{"alias_kind":"pith_short_12","alias_value":"OQVLCAPD7P46","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_16","alias_value":"OQVLCAPD7P46S6K7","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_8","alias_value":"OQVLCAPD","created_at":"2026-05-18T12:33:24.271573+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/OQVLCAPD7P46S6K75EFOXWKV2O","json":"https://pith.science/pith/OQVLCAPD7P46S6K75EFOXWKV2O.json","graph_json":"https://pith.science/api/pith-number/OQVLCAPD7P46S6K75EFOXWKV2O/graph.json","events_json":"https://pith.science/api/pith-number/OQVLCAPD7P46S6K75EFOXWKV2O/events.json","paper":"https://pith.science/paper/OQVLCAPD"},"agent_actions":{"view_html":"https://pith.science/pith/OQVLCAPD7P46S6K75EFOXWKV2O","download_json":"https://pith.science/pith/OQVLCAPD7P46S6K75EFOXWKV2O.json","view_paper":"https://pith.science/paper/OQVLCAPD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.04362&json=true","fetch_graph":"https://pith.science/api/pith-number/OQVLCAPD7P46S6K75EFOXWKV2O/graph.json","fetch_events":"https://pith.science/api/pith-number/OQVLCAPD7P46S6K75EFOXWKV2O/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OQVLCAPD7P46S6K75EFOXWKV2O/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OQVLCAPD7P46S6K75EFOXWKV2O/action/storage_attestation","attest_author":"https://pith.science/pith/OQVLCAPD7P46S6K75EFOXWKV2O/action/author_attestation","sign_citation":"https://pith.science/pith/OQVLCAPD7P46S6K75EFOXWKV2O/action/citation_signature","submit_replication":"https://pith.science/pith/OQVLCAPD7P46S6K75EFOXWKV2O/action/replication_record"}},"created_at":"2026-05-17T23:43:39.562277+00:00","updated_at":"2026-05-17T23:43:39.562277+00:00"}