{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3CGBT3TPD22JBIEMMLNJVZVTDW","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"2962bc86754d75b3bfe7d68aa6b87af0ed8d4f3dd10896eb22ab58019314415a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-08T10:54:32Z","title_canon_sha256":"d95c1d19c9f9104a26a21ed1c7281a37af9bb89b8f9c05f5ecc181d8c9962ed6"},"schema_version":"1.0","source":{"id":"2606.12419","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12419","created_at":"2026-06-12T00:07:49Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12419v1","created_at":"2026-06-12T00:07:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12419","created_at":"2026-06-12T00:07:49Z"},{"alias_kind":"pith_short_12","alias_value":"3CGBT3TPD22J","created_at":"2026-06-12T00:07:49Z"},{"alias_kind":"pith_short_16","alias_value":"3CGBT3TPD22JBIEM","created_at":"2026-06-12T00:07:49Z"},{"alias_kind":"pith_short_8","alias_value":"3CGBT3TP","created_at":"2026-06-12T00:07:49Z"}],"graph_snapshots":[{"event_id":"sha256:e2c483382aa17507ad22f6291d9813d304b1b6bbb97a840f3d37d830a106be56","target":"graph","created_at":"2026-06-12T00:07:49Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2606.12419/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"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","authors_text":"April Yi Wang, Donya Rooein, Junling Wang, Mrinmaya Sachan, Sankalan Pal Chowdhury","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-08T10:54:32Z","title":"GeoDial: A Multimodal Conversational Tutoring Dataset for Geometry Problem-Solving with Visual Tutor Turns"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12419","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:ab0e4488d78f387eb4b5c969915fad479cc445216d1f83d6873e62a7aea0678a","target":"record","created_at":"2026-06-12T00:07:49Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"2962bc86754d75b3bfe7d68aa6b87af0ed8d4f3dd10896eb22ab58019314415a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-08T10:54:32Z","title_canon_sha256":"d95c1d19c9f9104a26a21ed1c7281a37af9bb89b8f9c05f5ecc181d8c9962ed6"},"schema_version":"1.0","source":{"id":"2606.12419","kind":"arxiv","version":1}},"canonical_sha256":"d88c19ee6f1eb490a08c62da9ae6b31db37f29a4682b6929df522d620a5dd412","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d88c19ee6f1eb490a08c62da9ae6b31db37f29a4682b6929df522d620a5dd412","first_computed_at":"2026-06-12T00:07:49.623445Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-12T00:07:49.623445Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QcQgVVLfdaIBD5Nb2TmXWmY0WwcH71cAJjd+wf9KbiZw/nIXWMlU9JMp1EsHCR0Mq7xQK1E5Jqq3v0HogN8HBQ==","signature_status":"signed_v1","signed_at":"2026-06-12T00:07:49.623943Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.12419","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab0e4488d78f387eb4b5c969915fad479cc445216d1f83d6873e62a7aea0678a","sha256:e2c483382aa17507ad22f6291d9813d304b1b6bbb97a840f3d37d830a106be56"],"state_sha256":"1509cbdb8eda4f2dbdb9a130d49b738d24c48473587ba7804687c744022ac94a"}