{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:7GMIEIUJI7QBPEWOC6273SZEBE","short_pith_number":"pith:7GMIEIUJ","schema_version":"1.0","canonical_sha256":"f99882228947e01792ce17b5fdcb240939f2565b26db1c73f3475f8c8ad53047","source":{"kind":"arxiv","id":"2410.20116","version":1},"attestation_state":"computed","paper":{"title":"Estuary: A Framework For Building Multimodal Low-Latency Real-Time Socially Interactive Agents","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Andy Artze, Basem Rizk, Caitlin Sullivan, Miru Jun, Scott Fisher, Sharon Mozgai, Spencer Lin","submitted_at":"2024-10-26T08:08:12Z","abstract_excerpt":"The rise in capability and ubiquity of generative artificial intelligence (AI) technologies has enabled its application to the field of Socially Interactive Agents (SIAs). Despite rising interest in modern AI-powered components used for real-time SIA research, substantial friction remains due to the absence of a standardized and universal SIA framework. To target this absence, we developed Estuary: a multimodal (text, audio, and soon video) framework which facilitates the development of low-latency, real-time SIAs. Estuary seeks to reduce repeat work between studies and to provide a flexible p"},"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":"2410.20116","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-10-26T08:08:12Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e19c6559d623957d89a5d62bb2ae1bf5aca7e66466d0a5557b200ce1c2b87591","abstract_canon_sha256":"4c920bb3d950797faf33ecfcbbf2853792f6da63268fbcf4460a8df4a3a42238"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:26:39.392815Z","signature_b64":"QtAWXff9m++Q2oYfQ7zWQrWRez6cdlMigHiAWNVEvkiFiu7HWQuvOcNVeUdkxhefKBHmtdq+t5OyiDxM/h2KBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f99882228947e01792ce17b5fdcb240939f2565b26db1c73f3475f8c8ad53047","last_reissued_at":"2026-07-05T09:26:39.392298Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:26:39.392298Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Estuary: A Framework For Building Multimodal Low-Latency Real-Time Socially Interactive Agents","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Andy Artze, Basem Rizk, Caitlin Sullivan, Miru Jun, Scott Fisher, Sharon Mozgai, Spencer Lin","submitted_at":"2024-10-26T08:08:12Z","abstract_excerpt":"The rise in capability and ubiquity of generative artificial intelligence (AI) technologies has enabled its application to the field of Socially Interactive Agents (SIAs). Despite rising interest in modern AI-powered components used for real-time SIA research, substantial friction remains due to the absence of a standardized and universal SIA framework. To target this absence, we developed Estuary: a multimodal (text, audio, and soon video) framework which facilitates the development of low-latency, real-time SIAs. Estuary seeks to reduce repeat work between studies and to provide a flexible p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.20116","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/2410.20116/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":"2410.20116","created_at":"2026-07-05T09:26:39.392367+00:00"},{"alias_kind":"arxiv_version","alias_value":"2410.20116v1","created_at":"2026-07-05T09:26:39.392367+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.20116","created_at":"2026-07-05T09:26:39.392367+00:00"},{"alias_kind":"pith_short_12","alias_value":"7GMIEIUJI7QB","created_at":"2026-07-05T09:26:39.392367+00:00"},{"alias_kind":"pith_short_16","alias_value":"7GMIEIUJI7QBPEWO","created_at":"2026-07-05T09:26:39.392367+00:00"},{"alias_kind":"pith_short_8","alias_value":"7GMIEIUJ","created_at":"2026-07-05T09:26:39.392367+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/7GMIEIUJI7QBPEWOC6273SZEBE","json":"https://pith.science/pith/7GMIEIUJI7QBPEWOC6273SZEBE.json","graph_json":"https://pith.science/api/pith-number/7GMIEIUJI7QBPEWOC6273SZEBE/graph.json","events_json":"https://pith.science/api/pith-number/7GMIEIUJI7QBPEWOC6273SZEBE/events.json","paper":"https://pith.science/paper/7GMIEIUJ"},"agent_actions":{"view_html":"https://pith.science/pith/7GMIEIUJI7QBPEWOC6273SZEBE","download_json":"https://pith.science/pith/7GMIEIUJI7QBPEWOC6273SZEBE.json","view_paper":"https://pith.science/paper/7GMIEIUJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2410.20116&json=true","fetch_graph":"https://pith.science/api/pith-number/7GMIEIUJI7QBPEWOC6273SZEBE/graph.json","fetch_events":"https://pith.science/api/pith-number/7GMIEIUJI7QBPEWOC6273SZEBE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7GMIEIUJI7QBPEWOC6273SZEBE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7GMIEIUJI7QBPEWOC6273SZEBE/action/storage_attestation","attest_author":"https://pith.science/pith/7GMIEIUJI7QBPEWOC6273SZEBE/action/author_attestation","sign_citation":"https://pith.science/pith/7GMIEIUJI7QBPEWOC6273SZEBE/action/citation_signature","submit_replication":"https://pith.science/pith/7GMIEIUJI7QBPEWOC6273SZEBE/action/replication_record"}},"created_at":"2026-07-05T09:26:39.392367+00:00","updated_at":"2026-07-05T09:26:39.392367+00:00"}