{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:JPFUAYWBWHKPVLGF7VD2G4FGR2","short_pith_number":"pith:JPFUAYWB","schema_version":"1.0","canonical_sha256":"4bcb4062c1b1d4faacc5fd47a370a68e8096eb32e380adaaa72a156722f0ae52","source":{"kind":"arxiv","id":"2608.13409","version":1},"attestation_state":"computed","paper":{"title":"Jointly Predicting Courses and Grades Using a Transformer-Based Model","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Paul Savala","submitted_at":"2026-08-13T16:05:22Z","abstract_excerpt":"Existing predictive models in learning analytics often treat student academic history as a simple sequence, overlooking the concurrent nature of courses taken within a semester. This simplification can lead to inaccurate performance predictions, particularly for students with heavy or challenging course loads. This paper introduces a TRansformer for Academic Course-grade Estimation (TRACE) that addresses this limitation by jointly predicting both the set of courses a student will take and their corresponding grades for an upcoming semester. Our approach encodes courses on a per-semester basis "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2608.13409","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-13T16:05:22Z","cross_cats_sorted":[],"title_canon_sha256":"6a0dd4868fae5121d09ab598fb393bdc4d47658d325fa09d10e02884d474129a","abstract_canon_sha256":"1409054c773d2d7fd4343a7eb2c5779bf854d9a72c00aa15a90878c6eef21187"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-14T01:04:22.724552Z","signature_b64":"pQbl046erOtGyu7oaeWTKT0z4KcvPOMQ186kawMBNzxbsXnNq693lX6aS6DEnmZn1tLuJCvukNpENrIVz8SKAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4bcb4062c1b1d4faacc5fd47a370a68e8096eb32e380adaaa72a156722f0ae52","last_reissued_at":"2026-08-14T01:04:22.722744Z","signature_status":"signed_v1","first_computed_at":"2026-08-14T01:04:22.722744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Jointly Predicting Courses and Grades Using a Transformer-Based Model","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Paul Savala","submitted_at":"2026-08-13T16:05:22Z","abstract_excerpt":"Existing predictive models in learning analytics often treat student academic history as a simple sequence, overlooking the concurrent nature of courses taken within a semester. This simplification can lead to inaccurate performance predictions, particularly for students with heavy or challenging course loads. This paper introduces a TRansformer for Academic Course-grade Estimation (TRACE) that addresses this limitation by jointly predicting both the set of courses a student will take and their corresponding grades for an upcoming semester. Our approach encodes courses on a per-semester basis "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.13409","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/2608.13409/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2608.13409","created_at":"2026-08-14T01:04:22.723639+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.13409v1","created_at":"2026-08-14T01:04:22.723639+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.13409","created_at":"2026-08-14T01:04:22.723639+00:00"},{"alias_kind":"pith_short_12","alias_value":"JPFUAYWBWHKP","created_at":"2026-08-14T01:04:22.723639+00:00"},{"alias_kind":"pith_short_16","alias_value":"JPFUAYWBWHKPVLGF","created_at":"2026-08-14T01:04:22.723639+00:00"},{"alias_kind":"pith_short_8","alias_value":"JPFUAYWB","created_at":"2026-08-14T01:04:22.723639+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/JPFUAYWBWHKPVLGF7VD2G4FGR2","json":"https://pith.science/pith/JPFUAYWBWHKPVLGF7VD2G4FGR2.json","graph_json":"https://pith.science/api/pith-number/JPFUAYWBWHKPVLGF7VD2G4FGR2/graph.json","events_json":"https://pith.science/api/pith-number/JPFUAYWBWHKPVLGF7VD2G4FGR2/events.json","paper":"https://pith.science/paper/JPFUAYWB"},"agent_actions":{"view_html":"https://pith.science/pith/JPFUAYWBWHKPVLGF7VD2G4FGR2","download_json":"https://pith.science/pith/JPFUAYWBWHKPVLGF7VD2G4FGR2.json","view_paper":"https://pith.science/paper/JPFUAYWB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.13409&json=true","fetch_graph":"https://pith.science/api/pith-number/JPFUAYWBWHKPVLGF7VD2G4FGR2/graph.json","fetch_events":"https://pith.science/api/pith-number/JPFUAYWBWHKPVLGF7VD2G4FGR2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JPFUAYWBWHKPVLGF7VD2G4FGR2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JPFUAYWBWHKPVLGF7VD2G4FGR2/action/storage_attestation","attest_author":"https://pith.science/pith/JPFUAYWBWHKPVLGF7VD2G4FGR2/action/author_attestation","sign_citation":"https://pith.science/pith/JPFUAYWBWHKPVLGF7VD2G4FGR2/action/citation_signature","submit_replication":"https://pith.science/pith/JPFUAYWBWHKPVLGF7VD2G4FGR2/action/replication_record"}},"created_at":"2026-08-14T01:04:22.723639+00:00","updated_at":"2026-08-14T01:04:22.723639+00:00"}