{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:3WBSVOISPHXUUYDAQ6OS3SRGO2","short_pith_number":"pith:3WBSVOIS","schema_version":"1.0","canonical_sha256":"dd832ab91279ef4a6060879d2dca267694189c24a763d23762b4e80cd1f939d2","source":{"kind":"arxiv","id":"2505.06676","version":1},"attestation_state":"computed","paper":{"title":"VTutor: An Animated Pedagogical Agent SDK that Provide Real Time Multi-Model Feedback","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Aprille Xi, Chenyu Lin, Eason Chen, Jionghao Lin, Kenneth Koedinger, Xinyi Tang, Yu-Kai Huang","submitted_at":"2025-05-10T15:37:40Z","abstract_excerpt":"Pedagogical Agents (PAs) show significant potential for boosting student engagement and learning outcomes by providing adaptive, on-demand support in educational contexts. However, existing PA solutions are often hampered by pre-scripted dialogue, unnatural animations, uncanny visual realism, and high development costs. To address these gaps, we introduce VTutor, an open-source SDK leveraging lightweight WebGL, Unity, and JavaScript frameworks. VTutor receives text outputs from a large language model (LLM), converts them into audio via text-to-speech, and then renders a real-time, lip-synced 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":"2505.06676","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-05-10T15:37:40Z","cross_cats_sorted":[],"title_canon_sha256":"c81aac4f03b2d5d6edf2911aaa852e579e0af24e2d09d9036e1776ba2ca5d819","abstract_canon_sha256":"7178923c9f41cb7b473e1b812c84fa1322290b5205a82b3e6157379ec5c758d3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:01:14.085304Z","signature_b64":"ZO7XMs22MjNTzJTU5PF7QQAHDOPIbpLKmZezYagv9qM4z7+sQnLO9tzqic1aiZIMhGJVlVfbnNEJsrs8AkcyBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd832ab91279ef4a6060879d2dca267694189c24a763d23762b4e80cd1f939d2","last_reissued_at":"2026-07-05T11:01:14.084857Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:01:14.084857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"VTutor: An Animated Pedagogical Agent SDK that Provide Real Time Multi-Model Feedback","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Aprille Xi, Chenyu Lin, Eason Chen, Jionghao Lin, Kenneth Koedinger, Xinyi Tang, Yu-Kai Huang","submitted_at":"2025-05-10T15:37:40Z","abstract_excerpt":"Pedagogical Agents (PAs) show significant potential for boosting student engagement and learning outcomes by providing adaptive, on-demand support in educational contexts. However, existing PA solutions are often hampered by pre-scripted dialogue, unnatural animations, uncanny visual realism, and high development costs. To address these gaps, we introduce VTutor, an open-source SDK leveraging lightweight WebGL, Unity, and JavaScript frameworks. VTutor receives text outputs from a large language model (LLM), converts them into audio via text-to-speech, and then renders a real-time, lip-synced p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.06676","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/2505.06676/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":"2505.06676","created_at":"2026-07-05T11:01:14.084927+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.06676v1","created_at":"2026-07-05T11:01:14.084927+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.06676","created_at":"2026-07-05T11:01:14.084927+00:00"},{"alias_kind":"pith_short_12","alias_value":"3WBSVOISPHXU","created_at":"2026-07-05T11:01:14.084927+00:00"},{"alias_kind":"pith_short_16","alias_value":"3WBSVOISPHXUUYDA","created_at":"2026-07-05T11:01:14.084927+00:00"},{"alias_kind":"pith_short_8","alias_value":"3WBSVOIS","created_at":"2026-07-05T11:01:14.084927+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2505.07736","citing_title":"VTutor for High-Impact Tutoring at Scale: Managing Engagement and Real-Time Multi-Screen Monitoring with P2P Connections","ref_index":7,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/3WBSVOISPHXUUYDAQ6OS3SRGO2","json":"https://pith.science/pith/3WBSVOISPHXUUYDAQ6OS3SRGO2.json","graph_json":"https://pith.science/api/pith-number/3WBSVOISPHXUUYDAQ6OS3SRGO2/graph.json","events_json":"https://pith.science/api/pith-number/3WBSVOISPHXUUYDAQ6OS3SRGO2/events.json","paper":"https://pith.science/paper/3WBSVOIS"},"agent_actions":{"view_html":"https://pith.science/pith/3WBSVOISPHXUUYDAQ6OS3SRGO2","download_json":"https://pith.science/pith/3WBSVOISPHXUUYDAQ6OS3SRGO2.json","view_paper":"https://pith.science/paper/3WBSVOIS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.06676&json=true","fetch_graph":"https://pith.science/api/pith-number/3WBSVOISPHXUUYDAQ6OS3SRGO2/graph.json","fetch_events":"https://pith.science/api/pith-number/3WBSVOISPHXUUYDAQ6OS3SRGO2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3WBSVOISPHXUUYDAQ6OS3SRGO2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3WBSVOISPHXUUYDAQ6OS3SRGO2/action/storage_attestation","attest_author":"https://pith.science/pith/3WBSVOISPHXUUYDAQ6OS3SRGO2/action/author_attestation","sign_citation":"https://pith.science/pith/3WBSVOISPHXUUYDAQ6OS3SRGO2/action/citation_signature","submit_replication":"https://pith.science/pith/3WBSVOISPHXUUYDAQ6OS3SRGO2/action/replication_record"}},"created_at":"2026-07-05T11:01:14.084927+00:00","updated_at":"2026-07-05T11:01:14.084927+00:00"}