{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:5KG2BXNMMTMU5VLZULYYGHMSOS","short_pith_number":"pith:5KG2BXNM","canonical_record":{"source":{"id":"1405.3727","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2014-05-15T02:35:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9dbab8de9b79bea6460569e12072e54c5b8f293574ca66ea0821466174e2bf85","abstract_canon_sha256":"422656f50fef0af2973cd76e962419e03be94c7116844ebe0a7614452cdf0df8"},"schema_version":"1.0"},"canonical_sha256":"ea8da0ddac64d94ed579a2f1831d9274a1a33b9f16fc7a481bf6645b921f1e81","source":{"kind":"arxiv","id":"1405.3727","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1405.3727","created_at":"2026-05-18T02:51:49Z"},{"alias_kind":"arxiv_version","alias_value":"1405.3727v1","created_at":"2026-05-18T02:51:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1405.3727","created_at":"2026-05-18T02:51:49Z"},{"alias_kind":"pith_short_12","alias_value":"5KG2BXNMMTMU","created_at":"2026-05-18T12:28:14Z"},{"alias_kind":"pith_short_16","alias_value":"5KG2BXNMMTMU5VLZ","created_at":"2026-05-18T12:28:14Z"},{"alias_kind":"pith_short_8","alias_value":"5KG2BXNM","created_at":"2026-05-18T12:28:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:5KG2BXNMMTMU5VLZULYYGHMSOS","target":"record","payload":{"canonical_record":{"source":{"id":"1405.3727","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2014-05-15T02:35:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9dbab8de9b79bea6460569e12072e54c5b8f293574ca66ea0821466174e2bf85","abstract_canon_sha256":"422656f50fef0af2973cd76e962419e03be94c7116844ebe0a7614452cdf0df8"},"schema_version":"1.0"},"canonical_sha256":"ea8da0ddac64d94ed579a2f1831d9274a1a33b9f16fc7a481bf6645b921f1e81","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:51:49.960970Z","signature_b64":"QWAToeGKtjdKHMXk5oO3tPGWQorL48IbdtEN1vb/paBYOn972gCoM7d2MsrhneFPmWa9VmAiDe2htWJaJV2VBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ea8da0ddac64d94ed579a2f1831d9274a1a33b9f16fc7a481bf6645b921f1e81","last_reissued_at":"2026-05-18T02:51:49.960434Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:51:49.960434Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1405.3727","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":"2026-05-18T02:51:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MgrOdVbXwp6uJc93OvphzdzKhl1Gtw1w5xE02gK9tOiH5QtOYzS/f8cEplXXBYXfbI29XU2V+wRJHgPKBPZkDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T09:46:23.612959Z"},"content_sha256":"cc6a2d0bbc6f41235bb6efac6850f907ef8fc2c43c874607ac3839c9409d112e","schema_version":"1.0","event_id":"sha256:cc6a2d0bbc6f41235bb6efac6850f907ef8fc2c43c874607ac3839c9409d112e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:5KG2BXNMMTMU5VLZULYYGHMSOS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Student Dropout Risk Assessment in Undergraduate Course at Residential University","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"Sweta Rai","submitted_at":"2014-05-15T02:35:41Z","abstract_excerpt":"Student dropout prediction is an indispensable for numerous intelligent systems to measure the education system and success rate of any university as well as throughout the university in the world. Therefore, it becomes essential to develop efficient methods for prediction of the students at risk of dropping out, enabling the adoption of proactive process to minimize the situation. Thus, this research work propose a prototype machine learning tool which can automatically recognize whether the student will continue their study or drop their study using classification technique based on decision"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1405.3727","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":""},"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":"2026-05-18T02:51:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FDDYjJQcSXTv+DYx0Vb90O7tLG8sREYQDq3GuBkn53dd3/HBOaIqTpPpvHI0COApCoVFD7UD+n/WsucKxsYbAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T09:46:23.613300Z"},"content_sha256":"36ede6e71432015bd162de36e7244a5e52e6d5c8dba090eaf29887aa52d58e3c","schema_version":"1.0","event_id":"sha256:36ede6e71432015bd162de36e7244a5e52e6d5c8dba090eaf29887aa52d58e3c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5KG2BXNMMTMU5VLZULYYGHMSOS/bundle.json","state_url":"https://pith.science/pith/5KG2BXNMMTMU5VLZULYYGHMSOS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5KG2BXNMMTMU5VLZULYYGHMSOS/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":"2026-07-11T09:46:23Z","links":{"resolver":"https://pith.science/pith/5KG2BXNMMTMU5VLZULYYGHMSOS","bundle":"https://pith.science/pith/5KG2BXNMMTMU5VLZULYYGHMSOS/bundle.json","state":"https://pith.science/pith/5KG2BXNMMTMU5VLZULYYGHMSOS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5KG2BXNMMTMU5VLZULYYGHMSOS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:5KG2BXNMMTMU5VLZULYYGHMSOS","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":"422656f50fef0af2973cd76e962419e03be94c7116844ebe0a7614452cdf0df8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2014-05-15T02:35:41Z","title_canon_sha256":"9dbab8de9b79bea6460569e12072e54c5b8f293574ca66ea0821466174e2bf85"},"schema_version":"1.0","source":{"id":"1405.3727","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1405.3727","created_at":"2026-05-18T02:51:49Z"},{"alias_kind":"arxiv_version","alias_value":"1405.3727v1","created_at":"2026-05-18T02:51:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1405.3727","created_at":"2026-05-18T02:51:49Z"},{"alias_kind":"pith_short_12","alias_value":"5KG2BXNMMTMU","created_at":"2026-05-18T12:28:14Z"},{"alias_kind":"pith_short_16","alias_value":"5KG2BXNMMTMU5VLZ","created_at":"2026-05-18T12:28:14Z"},{"alias_kind":"pith_short_8","alias_value":"5KG2BXNM","created_at":"2026-05-18T12:28:14Z"}],"graph_snapshots":[{"event_id":"sha256:36ede6e71432015bd162de36e7244a5e52e6d5c8dba090eaf29887aa52d58e3c","target":"graph","created_at":"2026-05-18T02:51:49Z","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"},"paper":{"abstract_excerpt":"Student dropout prediction is an indispensable for numerous intelligent systems to measure the education system and success rate of any university as well as throughout the university in the world. Therefore, it becomes essential to develop efficient methods for prediction of the students at risk of dropping out, enabling the adoption of proactive process to minimize the situation. Thus, this research work propose a prototype machine learning tool which can automatically recognize whether the student will continue their study or drop their study using classification technique based on decision","authors_text":"Sweta Rai","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2014-05-15T02:35:41Z","title":"Student Dropout Risk Assessment in Undergraduate Course at Residential University"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1405.3727","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:cc6a2d0bbc6f41235bb6efac6850f907ef8fc2c43c874607ac3839c9409d112e","target":"record","created_at":"2026-05-18T02:51:49Z","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":"422656f50fef0af2973cd76e962419e03be94c7116844ebe0a7614452cdf0df8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2014-05-15T02:35:41Z","title_canon_sha256":"9dbab8de9b79bea6460569e12072e54c5b8f293574ca66ea0821466174e2bf85"},"schema_version":"1.0","source":{"id":"1405.3727","kind":"arxiv","version":1}},"canonical_sha256":"ea8da0ddac64d94ed579a2f1831d9274a1a33b9f16fc7a481bf6645b921f1e81","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea8da0ddac64d94ed579a2f1831d9274a1a33b9f16fc7a481bf6645b921f1e81","first_computed_at":"2026-05-18T02:51:49.960434Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:51:49.960434Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QWAToeGKtjdKHMXk5oO3tPGWQorL48IbdtEN1vb/paBYOn972gCoM7d2MsrhneFPmWa9VmAiDe2htWJaJV2VBw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:51:49.960970Z","signed_message":"canonical_sha256_bytes"},"source_id":"1405.3727","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cc6a2d0bbc6f41235bb6efac6850f907ef8fc2c43c874607ac3839c9409d112e","sha256:36ede6e71432015bd162de36e7244a5e52e6d5c8dba090eaf29887aa52d58e3c"],"state_sha256":"50ec330d9718573b405aed379364cf81c35deb07b84c4f4a740c1d0ffb53f735"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3Z0iGbp9MQdkDlomWYzX4fmHvmPGmogC+jALUV0nn9gF5IuqYF70RYO4jt7Or0l7WejbMIUMZcRvv7bcFwOGDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-11T09:46:23.615416Z","bundle_sha256":"4f9d53cd0728b05c0ce8cdfca99b76e60bca6ae7d6967410831b6feb8d66e671"}}