{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:64AB2472PUNXDXILBRHSV6TJZK","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":"5de6f00d2995e9fe8d35ae34946a38c2ef567f10bb755d799213b9c5bda65efc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-27T04:49:10Z","title_canon_sha256":"c93049fdf516c8b47298b1281b5d2877e26d0b4404d3c7cea0cb86cb88405b76"},"schema_version":"1.0","source":{"id":"2501.15777","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.15777","created_at":"2026-07-05T10:05:50Z"},{"alias_kind":"arxiv_version","alias_value":"2501.15777v1","created_at":"2026-07-05T10:05:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.15777","created_at":"2026-07-05T10:05:50Z"},{"alias_kind":"pith_short_12","alias_value":"64AB2472PUNX","created_at":"2026-07-05T10:05:50Z"},{"alias_kind":"pith_short_16","alias_value":"64AB2472PUNXDXIL","created_at":"2026-07-05T10:05:50Z"},{"alias_kind":"pith_short_8","alias_value":"64AB2472","created_at":"2026-07-05T10:05:50Z"}],"graph_snapshots":[{"event_id":"sha256:17e78dc04882b203f98a832ab2b53e72fcf68edf5d4ab4c7467566bce8ceb1f8","target":"graph","created_at":"2026-07-05T10:05:50Z","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/2501.15777/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Short-reading comprehension questions help students understand text structure but lack effective feedback. Students struggle to identify and correct errors, while manual feedback creation is labor-intensive. This highlights the need for automated feedback linking responses to a scoring rubric for deeper comprehension.\n  Despite advances in Natural Language Processing (NLP), research has focused on automatic grading, with limited work on feedback generation. To address this, we propose a system that generates feedback for student responses.\n  Our contributions are twofold. First, we introduce t","authors_text":"Hiroaki Funayama, Kentaro Inui, Momoka Furuhashi, Saku Sugawara, Toru Nagahama, Yoriko Isobe, Yuichiroh Matsubayashi, Yuya Iwase","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-27T04:49:10Z","title":"Automatic Feedback Generation for Short Answer Questions using Answer Diagnostic Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.15777","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":"sha256:6cd7305c95516dd1efa752c08883c711dfa67c4281396ab457e5ff06d3306465","target":"record","created_at":"2026-07-05T10:05:50Z","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":"5de6f00d2995e9fe8d35ae34946a38c2ef567f10bb755d799213b9c5bda65efc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-27T04:49:10Z","title_canon_sha256":"c93049fdf516c8b47298b1281b5d2877e26d0b4404d3c7cea0cb86cb88405b76"},"schema_version":"1.0","source":{"id":"2501.15777","kind":"arxiv","version":1}},"canonical_sha256":"f7001d73fa7d1b71dd0b0c4f2afa69caab7c0c55e96c6037fcce42b6738df6ca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f7001d73fa7d1b71dd0b0c4f2afa69caab7c0c55e96c6037fcce42b6738df6ca","first_computed_at":"2026-07-05T10:05:50.427021Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:05:50.427021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SB1/dfeVgmi6vpOWOkOZTuuZ29N0uzgvBgHs70NZz6cRCAXC7BFd0RDmMAZOBZNErPaNsjRCPglOnjOgrpRmAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:05:50.427463Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.15777","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6cd7305c95516dd1efa752c08883c711dfa67c4281396ab457e5ff06d3306465","sha256:17e78dc04882b203f98a832ab2b53e72fcf68edf5d4ab4c7467566bce8ceb1f8"],"state_sha256":"acbb23c46fb41e4285a201393caa87c2790b5bbf8d6be37d2a27312e3e8ded49"}