{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:3CGBT3TPD22JBIEMMLNJVZVTDW","short_pith_number":"pith:3CGBT3TP","schema_version":"1.0","canonical_sha256":"d88c19ee6f1eb490a08c62da9ae6b31db37f29a4682b6929df522d620a5dd412","source":{"kind":"arxiv","id":"2606.12419","version":1},"attestation_state":"computed","paper":{"title":"GeoDial: A Multimodal Conversational Tutoring Dataset for Geometry Problem-Solving with Visual Tutor Turns","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"April Yi Wang, Donya Rooein, Junling Wang, Mrinmaya Sachan, Sankalan Pal Chowdhury","submitted_at":"2026-05-08T10:54:32Z","abstract_excerpt":"Several educational domains rely heavily on diagrams and visual cues, yet most existing tutoring datasets are limited to text-only interactions. This limits the development of AI tutors that can teach in visually grounded ways used by human instructors. Thus, we introduce GeoDial, a multimodal tutoring dataset of over 1.3K teacher-student dialogs in the domain of geometry collected from experienced math teachers, where instructional turns are explicitly grounded in diagram highlights. We propose a scalable annotation protocol that integrates dialog acts, visual highlighting, and feedback, enab"},"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":"2606.12419","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-08T10:54:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d95c1d19c9f9104a26a21ed1c7281a37af9bb89b8f9c05f5ecc181d8c9962ed6","abstract_canon_sha256":"2962bc86754d75b3bfe7d68aa6b87af0ed8d4f3dd10896eb22ab58019314415a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-12T00:07:49.623943Z","signature_b64":"QcQgVVLfdaIBD5Nb2TmXWmY0WwcH71cAJjd+wf9KbiZw/nIXWMlU9JMp1EsHCR0Mq7xQK1E5Jqq3v0HogN8HBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d88c19ee6f1eb490a08c62da9ae6b31db37f29a4682b6929df522d620a5dd412","last_reissued_at":"2026-06-12T00:07:49.623445Z","signature_status":"signed_v1","first_computed_at":"2026-06-12T00:07:49.623445Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"GeoDial: A Multimodal Conversational Tutoring Dataset for Geometry Problem-Solving with Visual Tutor Turns","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"April Yi Wang, Donya Rooein, Junling Wang, Mrinmaya Sachan, Sankalan Pal Chowdhury","submitted_at":"2026-05-08T10:54:32Z","abstract_excerpt":"Several educational domains rely heavily on diagrams and visual cues, yet most existing tutoring datasets are limited to text-only interactions. This limits the development of AI tutors that can teach in visually grounded ways used by human instructors. Thus, we introduce GeoDial, a multimodal tutoring dataset of over 1.3K teacher-student dialogs in the domain of geometry collected from experienced math teachers, where instructional turns are explicitly grounded in diagram highlights. We propose a scalable annotation protocol that integrates dialog acts, visual highlighting, and feedback, enab"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12419","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/2606.12419/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":"2606.12419","created_at":"2026-06-12T00:07:49.623504+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.12419v1","created_at":"2026-06-12T00:07:49.623504+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12419","created_at":"2026-06-12T00:07:49.623504+00:00"},{"alias_kind":"pith_short_12","alias_value":"3CGBT3TPD22J","created_at":"2026-06-12T00:07:49.623504+00:00"},{"alias_kind":"pith_short_16","alias_value":"3CGBT3TPD22JBIEM","created_at":"2026-06-12T00:07:49.623504+00:00"},{"alias_kind":"pith_short_8","alias_value":"3CGBT3TP","created_at":"2026-06-12T00:07:49.623504+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/3CGBT3TPD22JBIEMMLNJVZVTDW","json":"https://pith.science/pith/3CGBT3TPD22JBIEMMLNJVZVTDW.json","graph_json":"https://pith.science/api/pith-number/3CGBT3TPD22JBIEMMLNJVZVTDW/graph.json","events_json":"https://pith.science/api/pith-number/3CGBT3TPD22JBIEMMLNJVZVTDW/events.json","paper":"https://pith.science/paper/3CGBT3TP"},"agent_actions":{"view_html":"https://pith.science/pith/3CGBT3TPD22JBIEMMLNJVZVTDW","download_json":"https://pith.science/pith/3CGBT3TPD22JBIEMMLNJVZVTDW.json","view_paper":"https://pith.science/paper/3CGBT3TP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.12419&json=true","fetch_graph":"https://pith.science/api/pith-number/3CGBT3TPD22JBIEMMLNJVZVTDW/graph.json","fetch_events":"https://pith.science/api/pith-number/3CGBT3TPD22JBIEMMLNJVZVTDW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3CGBT3TPD22JBIEMMLNJVZVTDW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3CGBT3TPD22JBIEMMLNJVZVTDW/action/storage_attestation","attest_author":"https://pith.science/pith/3CGBT3TPD22JBIEMMLNJVZVTDW/action/author_attestation","sign_citation":"https://pith.science/pith/3CGBT3TPD22JBIEMMLNJVZVTDW/action/citation_signature","submit_replication":"https://pith.science/pith/3CGBT3TPD22JBIEMMLNJVZVTDW/action/replication_record"}},"created_at":"2026-06-12T00:07:49.623504+00:00","updated_at":"2026-06-12T00:07:49.623504+00:00"}