{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:JPFUAYWBWHKPVLGF7VD2G4FGR2","short_pith_number":"pith:JPFUAYWB","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"},"canonical_sha256":"4bcb4062c1b1d4faacc5fd47a370a68e8096eb32e380adaaa72a156722f0ae52","source":{"kind":"arxiv","id":"2608.13409","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.13409","created_at":"2026-08-14T01:04:22Z"},{"alias_kind":"arxiv_version","alias_value":"2608.13409v1","created_at":"2026-08-14T01:04:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.13409","created_at":"2026-08-14T01:04:22Z"},{"alias_kind":"pith_short_12","alias_value":"JPFUAYWBWHKP","created_at":"2026-08-14T01:04:22Z"},{"alias_kind":"pith_short_16","alias_value":"JPFUAYWBWHKPVLGF","created_at":"2026-08-14T01:04:22Z"},{"alias_kind":"pith_short_8","alias_value":"JPFUAYWB","created_at":"2026-08-14T01:04:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:JPFUAYWBWHKPVLGF7VD2G4FGR2","target":"record","payload":{"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"},"canonical_sha256":"4bcb4062c1b1d4faacc5fd47a370a68e8096eb32e380adaaa72a156722f0ae52","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"},"source_kind":"arxiv","source_id":"2608.13409","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-14T01:04:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qehSHOf1oEx84gm72x/SP6WpvgaFXfI2YQWspostsuqfMLq+m431eTsRRv9knN0TvcjHWMQb7nipBJeYz416Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T05:42:45.724385Z"},"content_sha256":"189d510f7e274b6b4870fe0b38d205d6e7da987ea48e37300dba522ff311f146","schema_version":"1.0","event_id":"sha256:189d510f7e274b6b4870fe0b38d205d6e7da987ea48e37300dba522ff311f146"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:JPFUAYWBWHKPVLGF7VD2G4FGR2","target":"graph","payload":{"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-14T01:04:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y3in1h1b1pprBCRms17bLWy7AwVS2L3jz1NfWlZMI4z7BMbOp4+X1OcBkoS2aQIri4z3kE7HThxujqOWl0xpDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T05:42:45.724965Z"},"content_sha256":"df737598ed7f3326df4b983d2b340dd08455378b056ae18b7ec759dbacda3c37","schema_version":"1.0","event_id":"sha256:df737598ed7f3326df4b983d2b340dd08455378b056ae18b7ec759dbacda3c37"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JPFUAYWBWHKPVLGF7VD2G4FGR2/bundle.json","state_url":"https://pith.science/pith/JPFUAYWBWHKPVLGF7VD2G4FGR2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JPFUAYWBWHKPVLGF7VD2G4FGR2/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-15T05:42:45Z","links":{"resolver":"https://pith.science/pith/JPFUAYWBWHKPVLGF7VD2G4FGR2","bundle":"https://pith.science/pith/JPFUAYWBWHKPVLGF7VD2G4FGR2/bundle.json","state":"https://pith.science/pith/JPFUAYWBWHKPVLGF7VD2G4FGR2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JPFUAYWBWHKPVLGF7VD2G4FGR2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JPFUAYWBWHKPVLGF7VD2G4FGR2","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":"1409054c773d2d7fd4343a7eb2c5779bf854d9a72c00aa15a90878c6eef21187","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-13T16:05:22Z","title_canon_sha256":"6a0dd4868fae5121d09ab598fb393bdc4d47658d325fa09d10e02884d474129a"},"schema_version":"1.0","source":{"id":"2608.13409","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.13409","created_at":"2026-08-14T01:04:22Z"},{"alias_kind":"arxiv_version","alias_value":"2608.13409v1","created_at":"2026-08-14T01:04:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.13409","created_at":"2026-08-14T01:04:22Z"},{"alias_kind":"pith_short_12","alias_value":"JPFUAYWBWHKP","created_at":"2026-08-14T01:04:22Z"},{"alias_kind":"pith_short_16","alias_value":"JPFUAYWBWHKPVLGF","created_at":"2026-08-14T01:04:22Z"},{"alias_kind":"pith_short_8","alias_value":"JPFUAYWB","created_at":"2026-08-14T01:04:22Z"}],"graph_snapshots":[{"event_id":"sha256:df737598ed7f3326df4b983d2b340dd08455378b056ae18b7ec759dbacda3c37","target":"graph","created_at":"2026-08-14T01:04:22Z","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/2608.13409/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"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 ","authors_text":"Paul Savala","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-13T16:05:22Z","title":"Jointly Predicting Courses and Grades Using a Transformer-Based Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.13409","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":"sha256:189d510f7e274b6b4870fe0b38d205d6e7da987ea48e37300dba522ff311f146","target":"record","created_at":"2026-08-14T01:04:22Z","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":"1409054c773d2d7fd4343a7eb2c5779bf854d9a72c00aa15a90878c6eef21187","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-13T16:05:22Z","title_canon_sha256":"6a0dd4868fae5121d09ab598fb393bdc4d47658d325fa09d10e02884d474129a"},"schema_version":"1.0","source":{"id":"2608.13409","kind":"arxiv","version":1}},"canonical_sha256":"4bcb4062c1b1d4faacc5fd47a370a68e8096eb32e380adaaa72a156722f0ae52","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4bcb4062c1b1d4faacc5fd47a370a68e8096eb32e380adaaa72a156722f0ae52","first_computed_at":"2026-08-14T01:04:22.722744Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-14T01:04:22.722744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pQbl046erOtGyu7oaeWTKT0z4KcvPOMQ186kawMBNzxbsXnNq693lX6aS6DEnmZn1tLuJCvukNpENrIVz8SKAw==","signature_status":"signed_v1","signed_at":"2026-08-14T01:04:22.724552Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.13409","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:189d510f7e274b6b4870fe0b38d205d6e7da987ea48e37300dba522ff311f146","sha256:df737598ed7f3326df4b983d2b340dd08455378b056ae18b7ec759dbacda3c37"],"state_sha256":"29204816f32a38c16ec3616d7e9b9169d71288d884d902b6bf88b2a4ea7fd131"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"StpxDQm86RgugKZkgrJKbzwGmR88qvdVsc1YeidQDmq1/gmsvCtjJ1RiCyTVkEMWaY7ER+eYAMNgTfoEAR+sDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T05:42:45.729800Z","bundle_sha256":"0ec4e105df19780f04ba6475f6b03c8c2afeb140158602824ee6678e5e1390df"}}