{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:PVPDZIKWYZCSFMH6T3Y45TIBPM","short_pith_number":"pith:PVPDZIKW","schema_version":"1.0","canonical_sha256":"7d5e3ca156c64522b0fe9ef1cecd017b23920a0f4046138de1382c03cb33bd28","source":{"kind":"arxiv","id":"2606.30655","version":1},"attestation_state":"computed","paper":{"title":"Toward AI-Resilient Assessment in Computer Science Courses in an AI-Native World","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"Anshumali Shrivastava","submitted_at":"2026-06-16T04:54:15Z","abstract_excerpt":"AI-native course assessments in senior computer science courses and related fields should grade students by \\emph{AI-resilient skill}: the ability to achieve outcomes beyond a strong AI baseline. Such assessments should allow students to use AI freely, while reducing the extent to which greater private AI budget or more intensive AI use, by itself, becomes a grading advantage. This paper proposes a minimal formal framework for this goal. The framework specifies a real task, an executable evaluator, a declared AI-native Pareto frontier, and a grading rule based on Pareto surplus. The central cl"},"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":"2606.30655","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-06-16T04:54:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4f7c3ceca98ccab834d02375230c104445057368d8505b23dade66caaf3e06d4","abstract_canon_sha256":"84ef4a4960a0b3d089b1738cd830a6571af2cc0e726fa23c1ef1eeb63a09d983"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-01T00:17:12.725068Z","signature_b64":"cC7RVkVRwTK7AG8oa3pK8C7xDHI0gVywKXXztBgKhkokAfxNgrnjteyn1YUnILZ1ooTWFU7dmWLeEdWkP4s3AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7d5e3ca156c64522b0fe9ef1cecd017b23920a0f4046138de1382c03cb33bd28","last_reissued_at":"2026-07-01T00:17:12.724488Z","signature_status":"signed_v1","first_computed_at":"2026-07-01T00:17:12.724488Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Toward AI-Resilient Assessment in Computer Science Courses in an AI-Native World","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"Anshumali Shrivastava","submitted_at":"2026-06-16T04:54:15Z","abstract_excerpt":"AI-native course assessments in senior computer science courses and related fields should grade students by \\emph{AI-resilient skill}: the ability to achieve outcomes beyond a strong AI baseline. Such assessments should allow students to use AI freely, while reducing the extent to which greater private AI budget or more intensive AI use, by itself, becomes a grading advantage. This paper proposes a minimal formal framework for this goal. The framework specifies a real task, an executable evaluator, a declared AI-native Pareto frontier, and a grading rule based on Pareto surplus. The central cl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.30655","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/2606.30655/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.30655","created_at":"2026-07-01T00:17:12.724551+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.30655v1","created_at":"2026-07-01T00:17:12.724551+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.30655","created_at":"2026-07-01T00:17:12.724551+00:00"},{"alias_kind":"pith_short_12","alias_value":"PVPDZIKWYZCS","created_at":"2026-07-01T00:17:12.724551+00:00"},{"alias_kind":"pith_short_16","alias_value":"PVPDZIKWYZCSFMH6","created_at":"2026-07-01T00:17:12.724551+00:00"},{"alias_kind":"pith_short_8","alias_value":"PVPDZIKW","created_at":"2026-07-01T00:17:12.724551+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/PVPDZIKWYZCSFMH6T3Y45TIBPM","json":"https://pith.science/pith/PVPDZIKWYZCSFMH6T3Y45TIBPM.json","graph_json":"https://pith.science/api/pith-number/PVPDZIKWYZCSFMH6T3Y45TIBPM/graph.json","events_json":"https://pith.science/api/pith-number/PVPDZIKWYZCSFMH6T3Y45TIBPM/events.json","paper":"https://pith.science/paper/PVPDZIKW"},"agent_actions":{"view_html":"https://pith.science/pith/PVPDZIKWYZCSFMH6T3Y45TIBPM","download_json":"https://pith.science/pith/PVPDZIKWYZCSFMH6T3Y45TIBPM.json","view_paper":"https://pith.science/paper/PVPDZIKW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.30655&json=true","fetch_graph":"https://pith.science/api/pith-number/PVPDZIKWYZCSFMH6T3Y45TIBPM/graph.json","fetch_events":"https://pith.science/api/pith-number/PVPDZIKWYZCSFMH6T3Y45TIBPM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PVPDZIKWYZCSFMH6T3Y45TIBPM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PVPDZIKWYZCSFMH6T3Y45TIBPM/action/storage_attestation","attest_author":"https://pith.science/pith/PVPDZIKWYZCSFMH6T3Y45TIBPM/action/author_attestation","sign_citation":"https://pith.science/pith/PVPDZIKWYZCSFMH6T3Y45TIBPM/action/citation_signature","submit_replication":"https://pith.science/pith/PVPDZIKWYZCSFMH6T3Y45TIBPM/action/replication_record"}},"created_at":"2026-07-01T00:17:12.724551+00:00","updated_at":"2026-07-01T00:17:12.724551+00:00"}