{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:JWNZFXGSUJW2VNGGII4VWFPRMA","short_pith_number":"pith:JWNZFXGS","schema_version":"1.0","canonical_sha256":"4d9b92dcd2a26daab4c642395b15f1602591bdb115a854fae52f45acb5ebe413","source":{"kind":"arxiv","id":"2008.12348","version":2},"attestation_state":"computed","paper":{"title":"Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Abigail See, Amelia Hardy, Ashwin Paranjape, Christopher D. Manning, Dilara Soylu, Haojun Li, Kathleen Kenealy, Kaushik Ram Sadagopan, Nguyet Minh Phu, Peng Qi","submitted_at":"2020-08-27T19:37:27Z","abstract_excerpt":"We present Chirpy Cardinal, an open-domain dialogue agent, as a research platform for the 2019 Alexa Prize competition. Building an open-domain socialbot that talks to real people is challenging - such a system must meet multiple user expectations such as broad world knowledge, conversational style, and emotional connection. Our socialbot engages users on their terms - prioritizing their interests, feelings and autonomy. As a result, our socialbot provides a responsive, personalized user experience, capable of talking knowledgeably about a wide variety of topics, as well as chatting empathetic"},"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":"2008.12348","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-08-27T19:37:27Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1159dba25c22764031b8994de683159790370f794b526331b031a7066c609192","abstract_canon_sha256":"2e46b36acff8e9adba06a19d4b04f6290087169f321f8e8da642e395c10ca299"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:33:22.749711Z","signature_b64":"Ag87NjypbNrZl81zL2UUWTf/09YidK0w/kZxKRLtfjEW9eA6aBqmmhTC4E/5yTud6C6wvsTRi7JMmVPwPuafBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4d9b92dcd2a26daab4c642395b15f1602591bdb115a854fae52f45acb5ebe413","last_reissued_at":"2026-07-05T01:33:22.749127Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:33:22.749127Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Abigail See, Amelia Hardy, Ashwin Paranjape, Christopher D. Manning, Dilara Soylu, Haojun Li, Kathleen Kenealy, Kaushik Ram Sadagopan, Nguyet Minh Phu, Peng Qi","submitted_at":"2020-08-27T19:37:27Z","abstract_excerpt":"We present Chirpy Cardinal, an open-domain dialogue agent, as a research platform for the 2019 Alexa Prize competition. Building an open-domain socialbot that talks to real people is challenging - such a system must meet multiple user expectations such as broad world knowledge, conversational style, and emotional connection. Our socialbot engages users on their terms - prioritizing their interests, feelings and autonomy. As a result, our socialbot provides a responsive, personalized user experience, capable of talking knowledgeably about a wide variety of topics, as well as chatting empathetic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.12348","kind":"arxiv","version":2},"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/2008.12348/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2008.12348","created_at":"2026-07-05T01:33:22.749192+00:00"},{"alias_kind":"arxiv_version","alias_value":"2008.12348v2","created_at":"2026-07-05T01:33:22.749192+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.12348","created_at":"2026-07-05T01:33:22.749192+00:00"},{"alias_kind":"pith_short_12","alias_value":"JWNZFXGSUJW2","created_at":"2026-07-05T01:33:22.749192+00:00"},{"alias_kind":"pith_short_16","alias_value":"JWNZFXGSUJW2VNGG","created_at":"2026-07-05T01:33:22.749192+00:00"},{"alias_kind":"pith_short_8","alias_value":"JWNZFXGS","created_at":"2026-07-05T01:33:22.749192+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/JWNZFXGSUJW2VNGGII4VWFPRMA","json":"https://pith.science/pith/JWNZFXGSUJW2VNGGII4VWFPRMA.json","graph_json":"https://pith.science/api/pith-number/JWNZFXGSUJW2VNGGII4VWFPRMA/graph.json","events_json":"https://pith.science/api/pith-number/JWNZFXGSUJW2VNGGII4VWFPRMA/events.json","paper":"https://pith.science/paper/JWNZFXGS"},"agent_actions":{"view_html":"https://pith.science/pith/JWNZFXGSUJW2VNGGII4VWFPRMA","download_json":"https://pith.science/pith/JWNZFXGSUJW2VNGGII4VWFPRMA.json","view_paper":"https://pith.science/paper/JWNZFXGS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2008.12348&json=true","fetch_graph":"https://pith.science/api/pith-number/JWNZFXGSUJW2VNGGII4VWFPRMA/graph.json","fetch_events":"https://pith.science/api/pith-number/JWNZFXGSUJW2VNGGII4VWFPRMA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JWNZFXGSUJW2VNGGII4VWFPRMA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JWNZFXGSUJW2VNGGII4VWFPRMA/action/storage_attestation","attest_author":"https://pith.science/pith/JWNZFXGSUJW2VNGGII4VWFPRMA/action/author_attestation","sign_citation":"https://pith.science/pith/JWNZFXGSUJW2VNGGII4VWFPRMA/action/citation_signature","submit_replication":"https://pith.science/pith/JWNZFXGSUJW2VNGGII4VWFPRMA/action/replication_record"}},"created_at":"2026-07-05T01:33:22.749192+00:00","updated_at":"2026-07-05T01:33:22.749192+00:00"}