{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:2QCB7A4M5RYHTEZPANY62XVA3I","short_pith_number":"pith:2QCB7A4M","schema_version":"1.0","canonical_sha256":"d4041f838cec7079932f0371ed5ea0da0b3647e31fa9d4ffd53f9f96fce5b627","source":{"kind":"arxiv","id":"1705.00316","version":4},"attestation_state":"computed","paper":{"title":"A Conditional Variational Framework for Dialog Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Akiko Aizawa, Guoping Long, Hui Su, Shuzi Niu, Wenjie Li, Xiaoyu Shen, Yang Zhao, Yanran Li","submitted_at":"2017-04-30T13:52:49Z","abstract_excerpt":"Deep latent variable models have been shown to facilitate the response generation for open-domain dialog systems. However, these latent variables are highly randomized, leading to uncontrollable generated responses. In this paper, we propose a framework allowing conditional response generation based on specific attributes. These attributes can be either manually assigned or automatically detected. Moreover, the dialog states for both speakers are modeled separately in order to reflect personal features. We validate this framework on two different scenarios, where the attribute refers to generi"},"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":"1705.00316","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-04-30T13:52:49Z","cross_cats_sorted":[],"title_canon_sha256":"703fd327b1a0df0ba1b8f8a0e0b452cbb2036bcee2c42f94e581315d6472af21","abstract_canon_sha256":"d2e18507ed4ef5bf320f0b2198d619e06e4a0becd596f39424ca67110718ca3f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:40:48.720525Z","signature_b64":"eMswFVpBMgQn9rt+QVlHlC+E9KKfqCetA2zinw/LK7WxLpXAonLnUDAJBtE5TKTcCFeI1L2lJQssrU9MI+DyCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d4041f838cec7079932f0371ed5ea0da0b3647e31fa9d4ffd53f9f96fce5b627","last_reissued_at":"2026-05-18T00:40:48.719834Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:40:48.719834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Conditional Variational Framework for Dialog Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Akiko Aizawa, Guoping Long, Hui Su, Shuzi Niu, Wenjie Li, Xiaoyu Shen, Yang Zhao, Yanran Li","submitted_at":"2017-04-30T13:52:49Z","abstract_excerpt":"Deep latent variable models have been shown to facilitate the response generation for open-domain dialog systems. However, these latent variables are highly randomized, leading to uncontrollable generated responses. In this paper, we propose a framework allowing conditional response generation based on specific attributes. These attributes can be either manually assigned or automatically detected. Moreover, the dialog states for both speakers are modeled separately in order to reflect personal features. We validate this framework on two different scenarios, where the attribute refers to generi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.00316","kind":"arxiv","version":4},"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":"1705.00316","created_at":"2026-05-18T00:40:48.719936+00:00"},{"alias_kind":"arxiv_version","alias_value":"1705.00316v4","created_at":"2026-05-18T00:40:48.719936+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.00316","created_at":"2026-05-18T00:40:48.719936+00:00"},{"alias_kind":"pith_short_12","alias_value":"2QCB7A4M5RYH","created_at":"2026-05-18T12:30:55.937587+00:00"},{"alias_kind":"pith_short_16","alias_value":"2QCB7A4M5RYHTEZP","created_at":"2026-05-18T12:30:55.937587+00:00"},{"alias_kind":"pith_short_8","alias_value":"2QCB7A4M","created_at":"2026-05-18T12:30:55.937587+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/2QCB7A4M5RYHTEZPANY62XVA3I","json":"https://pith.science/pith/2QCB7A4M5RYHTEZPANY62XVA3I.json","graph_json":"https://pith.science/api/pith-number/2QCB7A4M5RYHTEZPANY62XVA3I/graph.json","events_json":"https://pith.science/api/pith-number/2QCB7A4M5RYHTEZPANY62XVA3I/events.json","paper":"https://pith.science/paper/2QCB7A4M"},"agent_actions":{"view_html":"https://pith.science/pith/2QCB7A4M5RYHTEZPANY62XVA3I","download_json":"https://pith.science/pith/2QCB7A4M5RYHTEZPANY62XVA3I.json","view_paper":"https://pith.science/paper/2QCB7A4M","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1705.00316&json=true","fetch_graph":"https://pith.science/api/pith-number/2QCB7A4M5RYHTEZPANY62XVA3I/graph.json","fetch_events":"https://pith.science/api/pith-number/2QCB7A4M5RYHTEZPANY62XVA3I/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2QCB7A4M5RYHTEZPANY62XVA3I/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2QCB7A4M5RYHTEZPANY62XVA3I/action/storage_attestation","attest_author":"https://pith.science/pith/2QCB7A4M5RYHTEZPANY62XVA3I/action/author_attestation","sign_citation":"https://pith.science/pith/2QCB7A4M5RYHTEZPANY62XVA3I/action/citation_signature","submit_replication":"https://pith.science/pith/2QCB7A4M5RYHTEZPANY62XVA3I/action/replication_record"}},"created_at":"2026-05-18T00:40:48.719936+00:00","updated_at":"2026-05-18T00:40:48.719936+00:00"}