{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:RNI6C4Z6NOTCH2226IJOB52YW5","short_pith_number":"pith:RNI6C4Z6","schema_version":"1.0","canonical_sha256":"8b51e1733e6ba623eb5af212e0f758b77c54909b86337a7908896764590186aa","source":{"kind":"arxiv","id":"1708.09344","version":1},"attestation_state":"computed","paper":{"title":"Stem-ming the Tide: Predicting STEM attrition using student transcript data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY","physics.ed-ph","stat.ML"],"primary_cat":"stat.OT","authors_text":"Coulter L'Heureux, Jevin West, Lovenoor Aulck, Lysia Li, Peter Lu, Rohan Aras","submitted_at":"2017-08-28T18:29:52Z","abstract_excerpt":"Science, technology, engineering, and math (STEM) fields play growing roles in national and international economies by driving innovation and generating high salary jobs. Yet, the US is lagging behind other highly industrialized nations in terms of STEM education and training. Furthermore, many economic forecasts predict a rising shortage of domestic STEM-trained professions in the US for years to come. One potential solution to this deficit is to decrease the rates at which students leave STEM-related fields in higher education, as currently over half of all students intending to graduate wit"},"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":"1708.09344","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.OT","submitted_at":"2017-08-28T18:29:52Z","cross_cats_sorted":["cs.CY","physics.ed-ph","stat.ML"],"title_canon_sha256":"b742ce318c12956b7c48947946dcfab07aa9f0f053919cd1ed213eedee8fa5d9","abstract_canon_sha256":"cd175e4ab2051ae3eede668dd95fb57178aa3b00c970530730c17f71dbe1f32c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:36:20.096558Z","signature_b64":"oEtE+G7zh6fAunWYAuKm+OtvKP/HG4b6GMR1VRNVIPY0kMvpyxTxmkif/RwhNTCBE0FY8lCAve2E3nO1nkT5AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8b51e1733e6ba623eb5af212e0f758b77c54909b86337a7908896764590186aa","last_reissued_at":"2026-05-18T00:36:20.095824Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:36:20.095824Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Stem-ming the Tide: Predicting STEM attrition using student transcript data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY","physics.ed-ph","stat.ML"],"primary_cat":"stat.OT","authors_text":"Coulter L'Heureux, Jevin West, Lovenoor Aulck, Lysia Li, Peter Lu, Rohan Aras","submitted_at":"2017-08-28T18:29:52Z","abstract_excerpt":"Science, technology, engineering, and math (STEM) fields play growing roles in national and international economies by driving innovation and generating high salary jobs. Yet, the US is lagging behind other highly industrialized nations in terms of STEM education and training. Furthermore, many economic forecasts predict a rising shortage of domestic STEM-trained professions in the US for years to come. One potential solution to this deficit is to decrease the rates at which students leave STEM-related fields in higher education, as currently over half of all students intending to graduate wit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.09344","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1708.09344","created_at":"2026-05-18T00:36:20.095936+00:00"},{"alias_kind":"arxiv_version","alias_value":"1708.09344v1","created_at":"2026-05-18T00:36:20.095936+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.09344","created_at":"2026-05-18T00:36:20.095936+00:00"},{"alias_kind":"pith_short_12","alias_value":"RNI6C4Z6NOTC","created_at":"2026-05-18T12:31:39.905425+00:00"},{"alias_kind":"pith_short_16","alias_value":"RNI6C4Z6NOTCH222","created_at":"2026-05-18T12:31:39.905425+00:00"},{"alias_kind":"pith_short_8","alias_value":"RNI6C4Z6","created_at":"2026-05-18T12:31:39.905425+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/RNI6C4Z6NOTCH2226IJOB52YW5","json":"https://pith.science/pith/RNI6C4Z6NOTCH2226IJOB52YW5.json","graph_json":"https://pith.science/api/pith-number/RNI6C4Z6NOTCH2226IJOB52YW5/graph.json","events_json":"https://pith.science/api/pith-number/RNI6C4Z6NOTCH2226IJOB52YW5/events.json","paper":"https://pith.science/paper/RNI6C4Z6"},"agent_actions":{"view_html":"https://pith.science/pith/RNI6C4Z6NOTCH2226IJOB52YW5","download_json":"https://pith.science/pith/RNI6C4Z6NOTCH2226IJOB52YW5.json","view_paper":"https://pith.science/paper/RNI6C4Z6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1708.09344&json=true","fetch_graph":"https://pith.science/api/pith-number/RNI6C4Z6NOTCH2226IJOB52YW5/graph.json","fetch_events":"https://pith.science/api/pith-number/RNI6C4Z6NOTCH2226IJOB52YW5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RNI6C4Z6NOTCH2226IJOB52YW5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RNI6C4Z6NOTCH2226IJOB52YW5/action/storage_attestation","attest_author":"https://pith.science/pith/RNI6C4Z6NOTCH2226IJOB52YW5/action/author_attestation","sign_citation":"https://pith.science/pith/RNI6C4Z6NOTCH2226IJOB52YW5/action/citation_signature","submit_replication":"https://pith.science/pith/RNI6C4Z6NOTCH2226IJOB52YW5/action/replication_record"}},"created_at":"2026-05-18T00:36:20.095936+00:00","updated_at":"2026-05-18T00:36:20.095936+00:00"}