{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:DJJFYS6UOEKX76ZOTKVGZCWPVV","short_pith_number":"pith:DJJFYS6U","canonical_record":{"source":{"id":"2006.03857","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-06-06T12:56:26Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"95e6fc087f1fd11717365d5ad3906591cd5986c8817c4e762ed0546f142645d5","abstract_canon_sha256":"36f68806ec3dd0a7ba99c738c1039448343ccf34b2a92d02e400fe50495c9ba7"},"schema_version":"1.0"},"canonical_sha256":"1a525c4bd471157ffb2e9aaa6c8acfad6ba54a2015022508ffd61de6652ec845","source":{"kind":"arxiv","id":"2006.03857","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.03857","created_at":"2026-07-05T01:08:47Z"},{"alias_kind":"arxiv_version","alias_value":"2006.03857v1","created_at":"2026-07-05T01:08:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.03857","created_at":"2026-07-05T01:08:47Z"},{"alias_kind":"pith_short_12","alias_value":"DJJFYS6UOEKX","created_at":"2026-07-05T01:08:47Z"},{"alias_kind":"pith_short_16","alias_value":"DJJFYS6UOEKX76ZO","created_at":"2026-07-05T01:08:47Z"},{"alias_kind":"pith_short_8","alias_value":"DJJFYS6U","created_at":"2026-07-05T01:08:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:DJJFYS6UOEKX76ZOTKVGZCWPVV","target":"record","payload":{"canonical_record":{"source":{"id":"2006.03857","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-06-06T12:56:26Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"95e6fc087f1fd11717365d5ad3906591cd5986c8817c4e762ed0546f142645d5","abstract_canon_sha256":"36f68806ec3dd0a7ba99c738c1039448343ccf34b2a92d02e400fe50495c9ba7"},"schema_version":"1.0"},"canonical_sha256":"1a525c4bd471157ffb2e9aaa6c8acfad6ba54a2015022508ffd61de6652ec845","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:08:47.205474Z","signature_b64":"+NI+6I65We6RNoTjuIbBbnqD9mqjnfXkyJX0AcYJmyWjpgKD/dmJx3530xV8YC7kNp8DynclpleZ8pRHmp3iDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1a525c4bd471157ffb2e9aaa6c8acfad6ba54a2015022508ffd61de6652ec845","last_reissued_at":"2026-07-05T01:08:47.204995Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:08:47.204995Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.03857","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":"2026-07-05T01:08:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QyRig7EBXVWbhNMenS1ZJbjY9u6Ni61TVPPAlMZSIDSMQh3/uGcl6ZeO+t5ry2/DKNtgt7LGo9O0HL9hW7GdDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T19:27:31.292626Z"},"content_sha256":"22711efe330f534a3759ed989c3d972788510051e7cf2b25e324bb1f13221802","schema_version":"1.0","event_id":"sha256:22711efe330f534a3759ed989c3d972788510051e7cf2b25e324bb1f13221802"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:DJJFYS6UOEKX76ZOTKVGZCWPVV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EPARS: Early Prediction of At-risk Students with Online and Offline Learning Behaviors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.AI","authors_text":"Hongzhi Yin, Jiannong Cao, Jiaxing Shen, Xiaofang Zhou, Yu Yang, Zhiyuan Wen","submitted_at":"2020-06-06T12:56:26Z","abstract_excerpt":"Early prediction of students at risk (STAR) is an effective and significant means to provide timely intervention for dropout and suicide. Existing works mostly rely on either online or offline learning behaviors which are not comprehensive enough to capture the whole learning processes and lead to unsatisfying prediction performance. We propose a novel algorithm (EPARS) that could early predict STAR in a semester by modeling online and offline learning behaviors. The online behaviors come from the log of activities when students use the online learning management system. The offline behaviors "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.03857","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/2006.03857/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":"2026-07-05T01:08:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mYxtWALZ2YxEoF/l1T8zTvijVqi0V4CALaU3Z1CtLIj1tqhR4ryilI1NBbibr+Pb3FH8T2YYBgw3cljMMiVaBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T19:27:31.293409Z"},"content_sha256":"a93d12c0f9d507f7c26d9223c629a9de7c25c82beae55a101c7948b804894311","schema_version":"1.0","event_id":"sha256:a93d12c0f9d507f7c26d9223c629a9de7c25c82beae55a101c7948b804894311"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DJJFYS6UOEKX76ZOTKVGZCWPVV/bundle.json","state_url":"https://pith.science/pith/DJJFYS6UOEKX76ZOTKVGZCWPVV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DJJFYS6UOEKX76ZOTKVGZCWPVV/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":"2026-08-04T19:27:31Z","links":{"resolver":"https://pith.science/pith/DJJFYS6UOEKX76ZOTKVGZCWPVV","bundle":"https://pith.science/pith/DJJFYS6UOEKX76ZOTKVGZCWPVV/bundle.json","state":"https://pith.science/pith/DJJFYS6UOEKX76ZOTKVGZCWPVV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DJJFYS6UOEKX76ZOTKVGZCWPVV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:DJJFYS6UOEKX76ZOTKVGZCWPVV","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":"36f68806ec3dd0a7ba99c738c1039448343ccf34b2a92d02e400fe50495c9ba7","cross_cats_sorted":["cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-06-06T12:56:26Z","title_canon_sha256":"95e6fc087f1fd11717365d5ad3906591cd5986c8817c4e762ed0546f142645d5"},"schema_version":"1.0","source":{"id":"2006.03857","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.03857","created_at":"2026-07-05T01:08:47Z"},{"alias_kind":"arxiv_version","alias_value":"2006.03857v1","created_at":"2026-07-05T01:08:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.03857","created_at":"2026-07-05T01:08:47Z"},{"alias_kind":"pith_short_12","alias_value":"DJJFYS6UOEKX","created_at":"2026-07-05T01:08:47Z"},{"alias_kind":"pith_short_16","alias_value":"DJJFYS6UOEKX76ZO","created_at":"2026-07-05T01:08:47Z"},{"alias_kind":"pith_short_8","alias_value":"DJJFYS6U","created_at":"2026-07-05T01:08:47Z"}],"graph_snapshots":[{"event_id":"sha256:a93d12c0f9d507f7c26d9223c629a9de7c25c82beae55a101c7948b804894311","target":"graph","created_at":"2026-07-05T01:08:47Z","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/2006.03857/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Early prediction of students at risk (STAR) is an effective and significant means to provide timely intervention for dropout and suicide. Existing works mostly rely on either online or offline learning behaviors which are not comprehensive enough to capture the whole learning processes and lead to unsatisfying prediction performance. We propose a novel algorithm (EPARS) that could early predict STAR in a semester by modeling online and offline learning behaviors. The online behaviors come from the log of activities when students use the online learning management system. The offline behaviors ","authors_text":"Hongzhi Yin, Jiannong Cao, Jiaxing Shen, Xiaofang Zhou, Yu Yang, Zhiyuan Wen","cross_cats":["cs.CY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-06-06T12:56:26Z","title":"EPARS: Early Prediction of At-risk Students with Online and Offline Learning Behaviors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.03857","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":"sha256:22711efe330f534a3759ed989c3d972788510051e7cf2b25e324bb1f13221802","target":"record","created_at":"2026-07-05T01:08:47Z","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":"36f68806ec3dd0a7ba99c738c1039448343ccf34b2a92d02e400fe50495c9ba7","cross_cats_sorted":["cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-06-06T12:56:26Z","title_canon_sha256":"95e6fc087f1fd11717365d5ad3906591cd5986c8817c4e762ed0546f142645d5"},"schema_version":"1.0","source":{"id":"2006.03857","kind":"arxiv","version":1}},"canonical_sha256":"1a525c4bd471157ffb2e9aaa6c8acfad6ba54a2015022508ffd61de6652ec845","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1a525c4bd471157ffb2e9aaa6c8acfad6ba54a2015022508ffd61de6652ec845","first_computed_at":"2026-07-05T01:08:47.204995Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:08:47.204995Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+NI+6I65We6RNoTjuIbBbnqD9mqjnfXkyJX0AcYJmyWjpgKD/dmJx3530xV8YC7kNp8DynclpleZ8pRHmp3iDA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:08:47.205474Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.03857","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22711efe330f534a3759ed989c3d972788510051e7cf2b25e324bb1f13221802","sha256:a93d12c0f9d507f7c26d9223c629a9de7c25c82beae55a101c7948b804894311"],"state_sha256":"f3950a79809c3ecf42678b7fcedc8843643f88e38a508c81b5a01a01095f59f7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tf6bxGAxHGbV2Cc4WJ5iAbv9cL58l1qTkIPw608jG1+mA7kvnxL7anR/6GwwoIrm7eXd7dRE9ue+sTnVZC1vDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T19:27:31.302921Z","bundle_sha256":"84a20a10fd94deb155a223b5d2de072c8bccd091d38a691723dd007c95549ae5"}}