{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:S245PAKB7A3NTQXU43LT6VOBOB","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":"a196a6e0863c25ed5c34d4e09dc74e8cca0f1824394f15465b4a8e6fc5b8c740","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-03-24T14:49:58Z","title_canon_sha256":"6de4df543911b24a755de172c04aaa0de7a272e77d68c88a576f5bcae43ab6aa"},"schema_version":"1.0","source":{"id":"1703.08544","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.08544","created_at":"2026-05-18T00:47:37Z"},{"alias_kind":"arxiv_version","alias_value":"1703.08544v2","created_at":"2026-05-18T00:47:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.08544","created_at":"2026-05-18T00:47:37Z"},{"alias_kind":"pith_short_12","alias_value":"S245PAKB7A3N","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"S245PAKB7A3NTQXU","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"S245PAKB","created_at":"2026-05-18T12:31:43Z"}],"graph_snapshots":[{"event_id":"sha256:12c9aacc55866865e3898fd7e2bce9ce6db706b62da3c4491b9c3bc1cebb0104","target":"graph","created_at":"2026-05-18T00:47:37Z","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"},"paper":{"abstract_excerpt":"An important, yet largely unstudied, problem in student data analysis is to detect misconceptions from students' responses to open-response questions. Misconception detection enables instructors to deliver more targeted feedback on the misconceptions exhibited by many students in their class, thus improving the quality of instruction. In this paper, we propose a new natural language processing-based framework to detect the common misconceptions among students' textual responses to short-answer questions. We propose a probabilistic model for students' textual responses involving misconceptions ","authors_text":"Andrew S. Lan, Joshua J. Michalenko, Richard G. Baraniuk","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-03-24T14:49:58Z","title":"Data-Mining Textual Responses to Uncover Misconception Patterns"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.08544","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:e29e52daf046bbc52829a02eca3a07b2d3063064b55f122ffc6d11455a7fa823","target":"record","created_at":"2026-05-18T00:47:37Z","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":"a196a6e0863c25ed5c34d4e09dc74e8cca0f1824394f15465b4a8e6fc5b8c740","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-03-24T14:49:58Z","title_canon_sha256":"6de4df543911b24a755de172c04aaa0de7a272e77d68c88a576f5bcae43ab6aa"},"schema_version":"1.0","source":{"id":"1703.08544","kind":"arxiv","version":2}},"canonical_sha256":"96b9d78141f836d9c2f4e6d73f55c17041fb7e81eb91412958e3fa5dae91f8b2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96b9d78141f836d9c2f4e6d73f55c17041fb7e81eb91412958e3fa5dae91f8b2","first_computed_at":"2026-05-18T00:47:37.786612Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:47:37.786612Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sZhG6BP+ICJKT8qjFJfQWC/KqlIVDn4faq0aiXAiz0bGEa3m5M1oYoQI0WkDM+wYB0dpqWnMzlKZvlfDirZbCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:47:37.787240Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.08544","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e29e52daf046bbc52829a02eca3a07b2d3063064b55f122ffc6d11455a7fa823","sha256:12c9aacc55866865e3898fd7e2bce9ce6db706b62da3c4491b9c3bc1cebb0104"],"state_sha256":"d28801425c2b3157f27e53bcc9ea9061126725d6cf1cf0acfedc85814d192e26"}