{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YMOH2MMAPCY7VF2MNDZ6L2VLE2","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":"680db1a5da10077a896a362c9d1c82b9f9bdd6a95b9aa675eddaa50275c3baaa","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-02T16:37:19Z","title_canon_sha256":"d70e98b30d7f1828fda1a269133093ce77435291b95bd7dd6cea05710edaa2ca"},"schema_version":"1.0","source":{"id":"2410.01727","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.01727","created_at":"2026-07-05T10:30:23Z"},{"alias_kind":"arxiv_version","alias_value":"2410.01727v2","created_at":"2026-07-05T10:30:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.01727","created_at":"2026-07-05T10:30:23Z"},{"alias_kind":"pith_short_12","alias_value":"YMOH2MMAPCY7","created_at":"2026-07-05T10:30:23Z"},{"alias_kind":"pith_short_16","alias_value":"YMOH2MMAPCY7VF2M","created_at":"2026-07-05T10:30:23Z"},{"alias_kind":"pith_short_8","alias_value":"YMOH2MMA","created_at":"2026-07-05T10:30:23Z"}],"graph_snapshots":[{"event_id":"sha256:a268d73e8a801af1e44153a4badc3fd5eb017696847fe063f38cde35d714f208","target":"graph","created_at":"2026-07-05T10:30:23Z","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/2410.01727/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge tracing (KT) is a popular approach for modeling students' learning progress over time, which can enable more personalized and adaptive learning. However, existing KT approaches face two major limitations: (1) they rely heavily on expert-defined knowledge concepts (KCs) in questions, which is time-consuming and prone to errors; and (2) KT methods tend to overlook the semantics of both questions and the given KCs. In this work, we address these challenges and present KCQRL, a framework for automated knowledge concept annotation and question representation learning that can improve the ","authors_text":"Mrinmaya Sachan, Stefan Feuerriegel, Yilmazcan Ozyurt","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-02T16:37:19Z","title":"Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.01727","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":"sha256:66146adb353b735fa980f357fb749d5848377c9c26a589057d013fd16803231d","target":"record","created_at":"2026-07-05T10:30:23Z","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":"680db1a5da10077a896a362c9d1c82b9f9bdd6a95b9aa675eddaa50275c3baaa","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-02T16:37:19Z","title_canon_sha256":"d70e98b30d7f1828fda1a269133093ce77435291b95bd7dd6cea05710edaa2ca"},"schema_version":"1.0","source":{"id":"2410.01727","kind":"arxiv","version":2}},"canonical_sha256":"c31c7d318078b1fa974c68f3e5eaab269d3d1c370767765502923cfaae49ae6d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c31c7d318078b1fa974c68f3e5eaab269d3d1c370767765502923cfaae49ae6d","first_computed_at":"2026-07-05T10:30:23.746202Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:30:23.746202Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/6jFQxixZwDXN2s3MDX2vGFwkQbtPBRFaib31fhVnJUopFLVSPwtkQPgCoqmUSuQj41jj49y43Rlxo2hNY45Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:30:23.747128Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.01727","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:66146adb353b735fa980f357fb749d5848377c9c26a589057d013fd16803231d","sha256:a268d73e8a801af1e44153a4badc3fd5eb017696847fe063f38cde35d714f208"],"state_sha256":"2d0c5c766afd516c4b7d2e22ec10096f8bd3285f07fb2922946f43cee6d2c2a7"}