{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PQCP7GAWJNV3CEWWKKUVFAVRWQ","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":"758c0fcdd31734d5b52725659aae094b47737a356e5999717502fb2c43ce8243","cross_cats_sorted":["cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-28T15:02:51Z","title_canon_sha256":"852944c7b93655d5f5bcb03bf0ccb394a50e6955c708bcb0c9bf3ed2037b18d9"},"schema_version":"1.0","source":{"id":"2605.30051","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30051","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30051v1","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30051","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"pith_short_12","alias_value":"PQCP7GAWJNV3","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"pith_short_16","alias_value":"PQCP7GAWJNV3CEWW","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"pith_short_8","alias_value":"PQCP7GAW","created_at":"2026-05-29T02:06:08Z"}],"graph_snapshots":[{"event_id":"sha256:485b03af3b53139d8eb0e6c688f42f6c5fa158bf04fd76ba20a7593d195430ce","target":"graph","created_at":"2026-05-29T02:06:08Z","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/2605.30051/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A key part of developing large language model (LLM)-powered, automated tutoring tools is student simulation, i.e., using LLMs to role-play as students, which can facilitate tutor model evaluation and training. Existing work mostly focuses on within-dialogue simulation, which lacks context on student knowledge and behavior, partly due to not grounding in past student question-answering or dialogue interactions. In this work, we introduce the task of history-conditioned student simulation, where the goal is to accurately predict student dialogue turns by leveraging information in the student's l","authors_text":"Alexander Scarlatos, Andrew Lan, Jaewook Lee, Shuyan Huang, Simon Woodhead, Zhangqi Duan","cross_cats":["cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-28T15:02:51Z","title":"Who Am I? History-Aware Profiles for Student Simulation in Tutoring Dialogues"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30051","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":"sha256:3ff4c17881b0501f61e751ba8fc22fde37e2ca8ed4ccea71d095aa447d31f9dd","target":"record","created_at":"2026-05-29T02:06:08Z","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":"758c0fcdd31734d5b52725659aae094b47737a356e5999717502fb2c43ce8243","cross_cats_sorted":["cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-28T15:02:51Z","title_canon_sha256":"852944c7b93655d5f5bcb03bf0ccb394a50e6955c708bcb0c9bf3ed2037b18d9"},"schema_version":"1.0","source":{"id":"2605.30051","kind":"arxiv","version":1}},"canonical_sha256":"7c04ff98164b6bb112d652a95282b1b42fc51c8ebe5f043cc68e28db072de5da","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c04ff98164b6bb112d652a95282b1b42fc51c8ebe5f043cc68e28db072de5da","first_computed_at":"2026-05-29T02:06:08.587035Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T02:06:08.587035Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AoeE6JPvFaD0hxkaCYig+9AsfBBClEXnmwAuVWNOuHpU/AdtdD5Xiiyny6Mhaw+bcZZ+twfmC4eT/u4frj7NAw==","signature_status":"signed_v1","signed_at":"2026-05-29T02:06:08.587456Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.30051","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3ff4c17881b0501f61e751ba8fc22fde37e2ca8ed4ccea71d095aa447d31f9dd","sha256:485b03af3b53139d8eb0e6c688f42f6c5fa158bf04fd76ba20a7593d195430ce"],"state_sha256":"013d43f716cb47230107ebc5ec88b77a13731a5887248c3c26a9ba5911be1944"}