{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:46ERXH3SF5Z5OFVNMC63JAJVDS","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":"0cc8715c38b2e618705cf958119c4b69a7d5d0cc3d7d12bd1e1f062533303230","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-24T05:32:06Z","title_canon_sha256":"56556af1eca955dc4ef32a830e1271fd9b77d1480588bd70b2bac08c409ca3c0"},"schema_version":"1.0","source":{"id":"2506.19325","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.19325","created_at":"2026-07-05T11:53:48Z"},{"alias_kind":"arxiv_version","alias_value":"2506.19325v2","created_at":"2026-07-05T11:53:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.19325","created_at":"2026-07-05T11:53:48Z"},{"alias_kind":"pith_short_12","alias_value":"46ERXH3SF5Z5","created_at":"2026-07-05T11:53:48Z"},{"alias_kind":"pith_short_16","alias_value":"46ERXH3SF5Z5OFVN","created_at":"2026-07-05T11:53:48Z"},{"alias_kind":"pith_short_8","alias_value":"46ERXH3S","created_at":"2026-07-05T11:53:48Z"}],"graph_snapshots":[{"event_id":"sha256:0d6583a59869d653bff89873dc027682eabc6f05516671ac16e60db2b094cf9a","target":"graph","created_at":"2026-07-05T11:53:48Z","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/2506.19325/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In English education tutoring, teacher feedback is essential for guiding students. Recently, AI-based tutoring systems have emerged to assist teachers; however, these systems require high-quality and large-scale teacher feedback data, which is both time-consuming and costly to generate manually. In this study, we propose FEAT, a cost-effective framework for generating teacher feedback, and have constructed three complementary datasets: (1) DIRECT-Manual (DM), where both humans and large language models (LLMs) collaboratively generate high-quality teacher feedback, albeit at a higher cost; (2) ","authors_text":"Hyein Seo, Sangkeun Jung, Taewook Hwang, Yohan Lee","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-24T05:32:06Z","title":"FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.19325","kind":"arxiv","version":2},"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":"sha256:18fc65bf926f8b1dfccfcbb0f559092f64191ac5c702b715bc3d46a2a230e409","target":"record","created_at":"2026-07-05T11:53:48Z","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":"0cc8715c38b2e618705cf958119c4b69a7d5d0cc3d7d12bd1e1f062533303230","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-24T05:32:06Z","title_canon_sha256":"56556af1eca955dc4ef32a830e1271fd9b77d1480588bd70b2bac08c409ca3c0"},"schema_version":"1.0","source":{"id":"2506.19325","kind":"arxiv","version":2}},"canonical_sha256":"e7891b9f722f73d716ad60bdb481351c8491de048b96bcb235c3581802d080c8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7891b9f722f73d716ad60bdb481351c8491de048b96bcb235c3581802d080c8","first_computed_at":"2026-07-05T11:53:48.071606Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:53:48.071606Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+SFOcwWR7+jq2scJoHxQmAqvikE4OFB+UArCZnlvz8txTZ+CbpVpiVpfprHGEyTTK68BXEz596CSxnLAW6THCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:53:48.072085Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.19325","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:18fc65bf926f8b1dfccfcbb0f559092f64191ac5c702b715bc3d46a2a230e409","sha256:0d6583a59869d653bff89873dc027682eabc6f05516671ac16e60db2b094cf9a"],"state_sha256":"482ade702c6eea8716058b4d1002612b58286501699bd2f7c7109ef1a7d42a5f"}