{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:EBIJZCKHMN7TEMUYDY5JJDHZH5","short_pith_number":"pith:EBIJZCKH","canonical_record":{"source":{"id":"2310.01180","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2023-10-02T13:19:33Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"49a2426c960dbecedbc422a0cbdd355142ce79a2f486f340f4c2872a3843180f","abstract_canon_sha256":"e4706a9e32189a69d3ec9e57bdfb3dfdd087dc0395e25fe058a0cd3c92dea753"},"schema_version":"1.0"},"canonical_sha256":"20509c8947637f3232981e3a948cf93f46b08f5d4ddac2a1af90a48250c3d914","source":{"kind":"arxiv","id":"2310.01180","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.01180","created_at":"2026-07-05T06:56:23Z"},{"alias_kind":"arxiv_version","alias_value":"2310.01180v1","created_at":"2026-07-05T06:56:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.01180","created_at":"2026-07-05T06:56:23Z"},{"alias_kind":"pith_short_12","alias_value":"EBIJZCKHMN7T","created_at":"2026-07-05T06:56:23Z"},{"alias_kind":"pith_short_16","alias_value":"EBIJZCKHMN7TEMUY","created_at":"2026-07-05T06:56:23Z"},{"alias_kind":"pith_short_8","alias_value":"EBIJZCKH","created_at":"2026-07-05T06:56:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:EBIJZCKHMN7TEMUYDY5JJDHZH5","target":"record","payload":{"canonical_record":{"source":{"id":"2310.01180","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2023-10-02T13:19:33Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"49a2426c960dbecedbc422a0cbdd355142ce79a2f486f340f4c2872a3843180f","abstract_canon_sha256":"e4706a9e32189a69d3ec9e57bdfb3dfdd087dc0395e25fe058a0cd3c92dea753"},"schema_version":"1.0"},"canonical_sha256":"20509c8947637f3232981e3a948cf93f46b08f5d4ddac2a1af90a48250c3d914","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:56:23.843531Z","signature_b64":"lEkblv29wRSHpVOYgtmbuhir6bkL9OQEhzm35FcjgKNPTg0QYeMbD/wZ/UasTnCTm8B1T8bg9+z76tzBmkfwDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"20509c8947637f3232981e3a948cf93f46b08f5d4ddac2a1af90a48250c3d914","last_reissued_at":"2026-07-05T06:56:23.843087Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:56:23.843087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.01180","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":"2026-07-05T06:56:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XaGYi6SZ0akiddYOTU1hU5/SbQLSjN0JhX+16Y0nYBlyLPr0NT+c3jpMq4EvNI3ciwpZwfkfIMrGE59IuYSwAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T12:56:19.870880Z"},"content_sha256":"33c7adf09bacfe2abca81e78da0de93d3b2df2add57f9a2155de76ed340e3121","schema_version":"1.0","event_id":"sha256:33c7adf09bacfe2abca81e78da0de93d3b2df2add57f9a2155de76ed340e3121"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:EBIJZCKHMN7TEMUYDY5JJDHZH5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.NE","authors_text":"Haiping Ma, Shangshang Yang, Xiaoshan Yu, Xingyi Zhang, Xueming Yan, Ye Tian","submitted_at":"2023-10-02T13:19:33Z","abstract_excerpt":"Knowledge tracing (KT) aims to trace students' knowledge states by predicting whether students answer correctly on exercises. Despite the excellent performance of existing Transformer-based KT approaches, they are criticized for the manually selected input features for fusion and the defect of single global context modelling to directly capture students' forgetting behavior in KT, when the related records are distant from the current record in terms of time. To address the issues, this paper first considers adding convolution operations to the Transformer to enhance its local context modelling"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.01180","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/2310.01180/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":"2026-07-05T06:56:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4tdGS16lTWJIV29yDV3HdCKfcYloL6NCJs+JQc+NFCLX9xOAYWC/s99OiqhfXbauV2Pbzzjlk9qcNhViMLtbBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T12:56:19.871458Z"},"content_sha256":"936eb5925b73f1f6e2211561ed1a8dc35baf1fa54cf5f2f434e858b015cdc7d3","schema_version":"1.0","event_id":"sha256:936eb5925b73f1f6e2211561ed1a8dc35baf1fa54cf5f2f434e858b015cdc7d3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EBIJZCKHMN7TEMUYDY5JJDHZH5/bundle.json","state_url":"https://pith.science/pith/EBIJZCKHMN7TEMUYDY5JJDHZH5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EBIJZCKHMN7TEMUYDY5JJDHZH5/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":"2026-08-22T12:56:19Z","links":{"resolver":"https://pith.science/pith/EBIJZCKHMN7TEMUYDY5JJDHZH5","bundle":"https://pith.science/pith/EBIJZCKHMN7TEMUYDY5JJDHZH5/bundle.json","state":"https://pith.science/pith/EBIJZCKHMN7TEMUYDY5JJDHZH5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EBIJZCKHMN7TEMUYDY5JJDHZH5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EBIJZCKHMN7TEMUYDY5JJDHZH5","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":"e4706a9e32189a69d3ec9e57bdfb3dfdd087dc0395e25fe058a0cd3c92dea753","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2023-10-02T13:19:33Z","title_canon_sha256":"49a2426c960dbecedbc422a0cbdd355142ce79a2f486f340f4c2872a3843180f"},"schema_version":"1.0","source":{"id":"2310.01180","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.01180","created_at":"2026-07-05T06:56:23Z"},{"alias_kind":"arxiv_version","alias_value":"2310.01180v1","created_at":"2026-07-05T06:56:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.01180","created_at":"2026-07-05T06:56:23Z"},{"alias_kind":"pith_short_12","alias_value":"EBIJZCKHMN7T","created_at":"2026-07-05T06:56:23Z"},{"alias_kind":"pith_short_16","alias_value":"EBIJZCKHMN7TEMUY","created_at":"2026-07-05T06:56:23Z"},{"alias_kind":"pith_short_8","alias_value":"EBIJZCKH","created_at":"2026-07-05T06:56:23Z"}],"graph_snapshots":[{"event_id":"sha256:936eb5925b73f1f6e2211561ed1a8dc35baf1fa54cf5f2f434e858b015cdc7d3","target":"graph","created_at":"2026-07-05T06:56:23Z","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/2310.01180/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge tracing (KT) aims to trace students' knowledge states by predicting whether students answer correctly on exercises. Despite the excellent performance of existing Transformer-based KT approaches, they are criticized for the manually selected input features for fusion and the defect of single global context modelling to directly capture students' forgetting behavior in KT, when the related records are distant from the current record in terms of time. To address the issues, this paper first considers adding convolution operations to the Transformer to enhance its local context modelling","authors_text":"Haiping Ma, Shangshang Yang, Xiaoshan Yu, Xingyi Zhang, Xueming Yan, Ye Tian","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2023-10-02T13:19:33Z","title":"Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.01180","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":"sha256:33c7adf09bacfe2abca81e78da0de93d3b2df2add57f9a2155de76ed340e3121","target":"record","created_at":"2026-07-05T06:56:23Z","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":"e4706a9e32189a69d3ec9e57bdfb3dfdd087dc0395e25fe058a0cd3c92dea753","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2023-10-02T13:19:33Z","title_canon_sha256":"49a2426c960dbecedbc422a0cbdd355142ce79a2f486f340f4c2872a3843180f"},"schema_version":"1.0","source":{"id":"2310.01180","kind":"arxiv","version":1}},"canonical_sha256":"20509c8947637f3232981e3a948cf93f46b08f5d4ddac2a1af90a48250c3d914","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"20509c8947637f3232981e3a948cf93f46b08f5d4ddac2a1af90a48250c3d914","first_computed_at":"2026-07-05T06:56:23.843087Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:56:23.843087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lEkblv29wRSHpVOYgtmbuhir6bkL9OQEhzm35FcjgKNPTg0QYeMbD/wZ/UasTnCTm8B1T8bg9+z76tzBmkfwDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:56:23.843531Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.01180","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:33c7adf09bacfe2abca81e78da0de93d3b2df2add57f9a2155de76ed340e3121","sha256:936eb5925b73f1f6e2211561ed1a8dc35baf1fa54cf5f2f434e858b015cdc7d3"],"state_sha256":"5165ffc348654ba396208aa384ea5b25d051e8e1d1bc6ffc3ec7e032c6dd8440"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mkRPW07qVAO2TO8Ni/PMNIEmO8U4OgqffUWjwoaNYSiHCsPht2Mgj7juzlfqT48YuJyMRXywxCtvqGMqFHi8BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T12:56:19.874827Z","bundle_sha256":"4344d2ea0db1415a54a6e4b3f23ab6bc45a3fbfae84da042258fa4f0b4fe170f"}}