{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ZZX4AJYB3H3Y4LEGUJBTLWYZOB","short_pith_number":"pith:ZZX4AJYB","canonical_record":{"source":{"id":"2506.17356","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-06-20T06:58:50Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"31b27c07fd4c991ab95515dae82257f093c2a73539535c27e6c9fe3a02ef88be","abstract_canon_sha256":"5c7a1b819db9b0bbc9e7838f50ba0928a66ac4678486bb9377456b94a3d42578"},"schema_version":"1.0"},"canonical_sha256":"ce6fc02701d9f78e2c86a24335db19704576051fd9e11bbc680cb43e78bb9833","source":{"kind":"arxiv","id":"2506.17356","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.17356","created_at":"2026-07-05T11:25:16Z"},{"alias_kind":"arxiv_version","alias_value":"2506.17356v1","created_at":"2026-07-05T11:25:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.17356","created_at":"2026-07-05T11:25:16Z"},{"alias_kind":"pith_short_12","alias_value":"ZZX4AJYB3H3Y","created_at":"2026-07-05T11:25:16Z"},{"alias_kind":"pith_short_16","alias_value":"ZZX4AJYB3H3Y4LEG","created_at":"2026-07-05T11:25:16Z"},{"alias_kind":"pith_short_8","alias_value":"ZZX4AJYB","created_at":"2026-07-05T11:25:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ZZX4AJYB3H3Y4LEGUJBTLWYZOB","target":"record","payload":{"canonical_record":{"source":{"id":"2506.17356","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-06-20T06:58:50Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"31b27c07fd4c991ab95515dae82257f093c2a73539535c27e6c9fe3a02ef88be","abstract_canon_sha256":"5c7a1b819db9b0bbc9e7838f50ba0928a66ac4678486bb9377456b94a3d42578"},"schema_version":"1.0"},"canonical_sha256":"ce6fc02701d9f78e2c86a24335db19704576051fd9e11bbc680cb43e78bb9833","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:25:16.537369Z","signature_b64":"oa9wSq3f8l1e31Yn3nyhuFrzzf12nGXnOlYq5JjPYaETi/BUMzF7cDefmXPo7XJ0eelsJfQwHIsvaahWiJsaAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ce6fc02701d9f78e2c86a24335db19704576051fd9e11bbc680cb43e78bb9833","last_reissued_at":"2026-07-05T11:25:16.536866Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:25:16.536866Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.17356","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:25:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7IWnLoARG6FcLv9JVafIzMwh00AKREcsYom1xENCPL/icxlRMHtBRHI6hOFOtnBhItFp4aiDWIXPCNzkehKSBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T07:19:21.356913Z"},"content_sha256":"8ca6b932fca87a178a601cd56748ccd207431b65e565a2ce71a1e6a01a417999","schema_version":"1.0","event_id":"sha256:8ca6b932fca87a178a601cd56748ccd207431b65e565a2ce71a1e6a01a417999"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ZZX4AJYB3H3Y4LEGUJBTLWYZOB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automatic Large Language Models Creation of Interactive Learning Lessons","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC"],"primary_cat":"cs.CY","authors_text":"Amanda Barany, Ashish Gurung, Jaclyn Ocumpaugh, Jiarui Rao, Jionghao Lin, Kenneth R. Koedinger, Ryan S. Baker, Yiyang Zhao, Yuting Wang","submitted_at":"2025-06-20T06:58:50Z","abstract_excerpt":"We explore the automatic generation of interactive, scenario-based lessons designed to train novice human tutors who teach middle school mathematics online. Employing prompt engineering through a Retrieval-Augmented Generation approach with GPT-4o, we developed a system capable of creating structured tutor training lessons. Our study generated lessons in English for three key topics: Encouraging Students' Independence, Encouraging Help-Seeking Behavior, and Turning on Cameras, using a task decomposition prompting strategy that breaks lesson generation into sub-tasks. The generated lessons were"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.17356","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/2506.17356/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:25:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nD7SzGnoXMtA1U9qgyaL4IcKBw6L3rkT8nSVPUcSU0gH8GeAEhyBMii+ItK1nYRt8EIjAhWe/JLO2nxhNDrrAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T07:19:21.357669Z"},"content_sha256":"99643a216fa638ad62f38bd45fd5e6eb8168cc0b99c2b14bf10f72f971349fe8","schema_version":"1.0","event_id":"sha256:99643a216fa638ad62f38bd45fd5e6eb8168cc0b99c2b14bf10f72f971349fe8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZZX4AJYB3H3Y4LEGUJBTLWYZOB/bundle.json","state_url":"https://pith.science/pith/ZZX4AJYB3H3Y4LEGUJBTLWYZOB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZZX4AJYB3H3Y4LEGUJBTLWYZOB/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-11T07:19:21Z","links":{"resolver":"https://pith.science/pith/ZZX4AJYB3H3Y4LEGUJBTLWYZOB","bundle":"https://pith.science/pith/ZZX4AJYB3H3Y4LEGUJBTLWYZOB/bundle.json","state":"https://pith.science/pith/ZZX4AJYB3H3Y4LEGUJBTLWYZOB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZZX4AJYB3H3Y4LEGUJBTLWYZOB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZZX4AJYB3H3Y4LEGUJBTLWYZOB","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":"5c7a1b819db9b0bbc9e7838f50ba0928a66ac4678486bb9377456b94a3d42578","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-06-20T06:58:50Z","title_canon_sha256":"31b27c07fd4c991ab95515dae82257f093c2a73539535c27e6c9fe3a02ef88be"},"schema_version":"1.0","source":{"id":"2506.17356","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.17356","created_at":"2026-07-05T11:25:16Z"},{"alias_kind":"arxiv_version","alias_value":"2506.17356v1","created_at":"2026-07-05T11:25:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.17356","created_at":"2026-07-05T11:25:16Z"},{"alias_kind":"pith_short_12","alias_value":"ZZX4AJYB3H3Y","created_at":"2026-07-05T11:25:16Z"},{"alias_kind":"pith_short_16","alias_value":"ZZX4AJYB3H3Y4LEG","created_at":"2026-07-05T11:25:16Z"},{"alias_kind":"pith_short_8","alias_value":"ZZX4AJYB","created_at":"2026-07-05T11:25:16Z"}],"graph_snapshots":[{"event_id":"sha256:99643a216fa638ad62f38bd45fd5e6eb8168cc0b99c2b14bf10f72f971349fe8","target":"graph","created_at":"2026-07-05T11:25:16Z","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/2506.17356/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We explore the automatic generation of interactive, scenario-based lessons designed to train novice human tutors who teach middle school mathematics online. Employing prompt engineering through a Retrieval-Augmented Generation approach with GPT-4o, we developed a system capable of creating structured tutor training lessons. Our study generated lessons in English for three key topics: Encouraging Students' Independence, Encouraging Help-Seeking Behavior, and Turning on Cameras, using a task decomposition prompting strategy that breaks lesson generation into sub-tasks. The generated lessons were","authors_text":"Amanda Barany, Ashish Gurung, Jaclyn Ocumpaugh, Jiarui Rao, Jionghao Lin, Kenneth R. Koedinger, Ryan S. Baker, Yiyang Zhao, Yuting Wang","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-06-20T06:58:50Z","title":"Automatic Large Language Models Creation of Interactive Learning Lessons"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.17356","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":"sha256:8ca6b932fca87a178a601cd56748ccd207431b65e565a2ce71a1e6a01a417999","target":"record","created_at":"2026-07-05T11:25:16Z","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":"5c7a1b819db9b0bbc9e7838f50ba0928a66ac4678486bb9377456b94a3d42578","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-06-20T06:58:50Z","title_canon_sha256":"31b27c07fd4c991ab95515dae82257f093c2a73539535c27e6c9fe3a02ef88be"},"schema_version":"1.0","source":{"id":"2506.17356","kind":"arxiv","version":1}},"canonical_sha256":"ce6fc02701d9f78e2c86a24335db19704576051fd9e11bbc680cb43e78bb9833","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ce6fc02701d9f78e2c86a24335db19704576051fd9e11bbc680cb43e78bb9833","first_computed_at":"2026-07-05T11:25:16.536866Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:25:16.536866Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oa9wSq3f8l1e31Yn3nyhuFrzzf12nGXnOlYq5JjPYaETi/BUMzF7cDefmXPo7XJ0eelsJfQwHIsvaahWiJsaAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:25:16.537369Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.17356","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ca6b932fca87a178a601cd56748ccd207431b65e565a2ce71a1e6a01a417999","sha256:99643a216fa638ad62f38bd45fd5e6eb8168cc0b99c2b14bf10f72f971349fe8"],"state_sha256":"4c9b72d6b651cc19ef7c697f032aff044759bfa892060f48fa30b70b155e3573"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mq/+FZUe4ttFADTpSn48MxjR7vQYzsqKbd5cmK5c4+olgIj3tyr2YuWIz9A8QAq6dROtxK1JTZqyLMN1JDJrAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T07:19:21.362117Z","bundle_sha256":"807c0fe11736f6240677abe87c5e269983367bb980daaf9563f76ca4b6f2ac9d"}}