{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:UQ2VOPVKANIMYFJTR5IATPC3H2","short_pith_number":"pith:UQ2VOPVK","schema_version":"1.0","canonical_sha256":"a435573eaa0350cc15338f5009bc5b3eaa4979aa25ea25d05173d3207b4ccb5a","source":{"kind":"arxiv","id":"2203.04045","version":1},"attestation_state":"computed","paper":{"title":"Towards Generalized Models for Task-oriented Dialogue Modeling on Spoken Conversations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Haitao Mi, Jiajun Li, Liang Jiang, Liangrui Peng, Ruijie Yan, Shihui Yang, Shuang Peng, Yongliang Wang, Yuchi Zhang, Zujie Wen","submitted_at":"2022-03-08T12:26:57Z","abstract_excerpt":"Building robust and general dialogue models for spoken conversations is challenging due to the gap in distributions of spoken and written data. This paper presents our approach to build generalized models for the Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations Challenge of DSTC-10. In order to mitigate the discrepancies between spoken and written text, we mainly employ extensive data augmentation strategies on written data, including artificial error injection and round-trip text-speech transformation. To train robust models for spoken conversations, we improve pre-t"},"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":"2203.04045","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-03-08T12:26:57Z","cross_cats_sorted":[],"title_canon_sha256":"52b83ce6b0b8c8169d6524037e267193366e583e439af155067dfbc514618279","abstract_canon_sha256":"30f71d9343f345c2b0bd0b9252dffb2aca5709552744ae922ec10bb2d6821a14"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:03:05.458308Z","signature_b64":"vbowkYO4W6mgzrUaSyQIRZmPPWaMO04BvuibXPaDww/sH6qOwvI8zpIv5PRpCqi0FOwtVRYevdrnX2gWzTfeDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a435573eaa0350cc15338f5009bc5b3eaa4979aa25ea25d05173d3207b4ccb5a","last_reissued_at":"2026-07-05T04:03:05.457948Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:03:05.457948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Towards Generalized Models for Task-oriented Dialogue Modeling on Spoken Conversations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Haitao Mi, Jiajun Li, Liang Jiang, Liangrui Peng, Ruijie Yan, Shihui Yang, Shuang Peng, Yongliang Wang, Yuchi Zhang, Zujie Wen","submitted_at":"2022-03-08T12:26:57Z","abstract_excerpt":"Building robust and general dialogue models for spoken conversations is challenging due to the gap in distributions of spoken and written data. This paper presents our approach to build generalized models for the Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations Challenge of DSTC-10. In order to mitigate the discrepancies between spoken and written text, we mainly employ extensive data augmentation strategies on written data, including artificial error injection and round-trip text-speech transformation. To train robust models for spoken conversations, we improve pre-t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.04045","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/2203.04045/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":"2203.04045","created_at":"2026-07-05T04:03:05.458008+00:00"},{"alias_kind":"arxiv_version","alias_value":"2203.04045v1","created_at":"2026-07-05T04:03:05.458008+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.04045","created_at":"2026-07-05T04:03:05.458008+00:00"},{"alias_kind":"pith_short_12","alias_value":"UQ2VOPVKANIM","created_at":"2026-07-05T04:03:05.458008+00:00"},{"alias_kind":"pith_short_16","alias_value":"UQ2VOPVKANIMYFJT","created_at":"2026-07-05T04:03:05.458008+00:00"},{"alias_kind":"pith_short_8","alias_value":"UQ2VOPVK","created_at":"2026-07-05T04:03:05.458008+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/UQ2VOPVKANIMYFJTR5IATPC3H2","json":"https://pith.science/pith/UQ2VOPVKANIMYFJTR5IATPC3H2.json","graph_json":"https://pith.science/api/pith-number/UQ2VOPVKANIMYFJTR5IATPC3H2/graph.json","events_json":"https://pith.science/api/pith-number/UQ2VOPVKANIMYFJTR5IATPC3H2/events.json","paper":"https://pith.science/paper/UQ2VOPVK"},"agent_actions":{"view_html":"https://pith.science/pith/UQ2VOPVKANIMYFJTR5IATPC3H2","download_json":"https://pith.science/pith/UQ2VOPVKANIMYFJTR5IATPC3H2.json","view_paper":"https://pith.science/paper/UQ2VOPVK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2203.04045&json=true","fetch_graph":"https://pith.science/api/pith-number/UQ2VOPVKANIMYFJTR5IATPC3H2/graph.json","fetch_events":"https://pith.science/api/pith-number/UQ2VOPVKANIMYFJTR5IATPC3H2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UQ2VOPVKANIMYFJTR5IATPC3H2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UQ2VOPVKANIMYFJTR5IATPC3H2/action/storage_attestation","attest_author":"https://pith.science/pith/UQ2VOPVKANIMYFJTR5IATPC3H2/action/author_attestation","sign_citation":"https://pith.science/pith/UQ2VOPVKANIMYFJTR5IATPC3H2/action/citation_signature","submit_replication":"https://pith.science/pith/UQ2VOPVKANIMYFJTR5IATPC3H2/action/replication_record"}},"created_at":"2026-07-05T04:03:05.458008+00:00","updated_at":"2026-07-05T04:03:05.458008+00:00"}