{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:2U43PXJE26YTXBPJ57WBDWNSSR","short_pith_number":"pith:2U43PXJE","schema_version":"1.0","canonical_sha256":"d539b7dd24d7b13b85e9efec11d9b29462beebe1771e5fcd451928f593ba4a3f","source":{"kind":"arxiv","id":"2308.06921","version":1},"attestation_state":"computed","paper":{"title":"CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Brad Sheese, Jaromir Savelka, Mark Liffiton, Paul Denny","submitted_at":"2023-08-14T03:52:24Z","abstract_excerpt":"Computing educators face significant challenges in providing timely support to students, especially in large class settings. Large language models (LLMs) have emerged recently and show great promise for providing on-demand help at a large scale, but there are concerns that students may over-rely on the outputs produced by these models. In this paper, we introduce CodeHelp, a novel LLM-powered tool designed with guardrails to provide on-demand assistance to programming students without directly revealing solutions. We detail the design of the tool, which incorporates a number of useful features"},"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":"2308.06921","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2023-08-14T03:52:24Z","cross_cats_sorted":[],"title_canon_sha256":"160b22b580802886c753ad2429bac02c2b6154a8bf3d6c6919509f0b58e9246f","abstract_canon_sha256":"631ff3f3146be2484b5a327ac4f4236af327a675c077e54f756a8027328c5a97"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:40:47.171066Z","signature_b64":"WV+2srIBHPdw+ppMdcXdI5nK/Zb6iNgMOpYbfCRd2z8wkVi6sAMlscwfUCIs0pEAEvVk1Drc2Is0jP+B9++BAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d539b7dd24d7b13b85e9efec11d9b29462beebe1771e5fcd451928f593ba4a3f","last_reissued_at":"2026-07-05T06:40:47.170642Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:40:47.170642Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Brad Sheese, Jaromir Savelka, Mark Liffiton, Paul Denny","submitted_at":"2023-08-14T03:52:24Z","abstract_excerpt":"Computing educators face significant challenges in providing timely support to students, especially in large class settings. Large language models (LLMs) have emerged recently and show great promise for providing on-demand help at a large scale, but there are concerns that students may over-rely on the outputs produced by these models. In this paper, we introduce CodeHelp, a novel LLM-powered tool designed with guardrails to provide on-demand assistance to programming students without directly revealing solutions. We detail the design of the tool, which incorporates a number of useful features"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.06921","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/2308.06921/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":"2308.06921","created_at":"2026-07-05T06:40:47.170695+00:00"},{"alias_kind":"arxiv_version","alias_value":"2308.06921v1","created_at":"2026-07-05T06:40:47.170695+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.06921","created_at":"2026-07-05T06:40:47.170695+00:00"},{"alias_kind":"pith_short_12","alias_value":"2U43PXJE26YT","created_at":"2026-07-05T06:40:47.170695+00:00"},{"alias_kind":"pith_short_16","alias_value":"2U43PXJE26YTXBPJ","created_at":"2026-07-05T06:40:47.170695+00:00"},{"alias_kind":"pith_short_8","alias_value":"2U43PXJE","created_at":"2026-07-05T06:40:47.170695+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2412.11088","citing_title":"Seeing the Forest and the Trees: Solving Visual Graph and Tree Based Data Structure Problems using Large Multimodal Models","ref_index":42,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2U43PXJE26YTXBPJ57WBDWNSSR","json":"https://pith.science/pith/2U43PXJE26YTXBPJ57WBDWNSSR.json","graph_json":"https://pith.science/api/pith-number/2U43PXJE26YTXBPJ57WBDWNSSR/graph.json","events_json":"https://pith.science/api/pith-number/2U43PXJE26YTXBPJ57WBDWNSSR/events.json","paper":"https://pith.science/paper/2U43PXJE"},"agent_actions":{"view_html":"https://pith.science/pith/2U43PXJE26YTXBPJ57WBDWNSSR","download_json":"https://pith.science/pith/2U43PXJE26YTXBPJ57WBDWNSSR.json","view_paper":"https://pith.science/paper/2U43PXJE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2308.06921&json=true","fetch_graph":"https://pith.science/api/pith-number/2U43PXJE26YTXBPJ57WBDWNSSR/graph.json","fetch_events":"https://pith.science/api/pith-number/2U43PXJE26YTXBPJ57WBDWNSSR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2U43PXJE26YTXBPJ57WBDWNSSR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2U43PXJE26YTXBPJ57WBDWNSSR/action/storage_attestation","attest_author":"https://pith.science/pith/2U43PXJE26YTXBPJ57WBDWNSSR/action/author_attestation","sign_citation":"https://pith.science/pith/2U43PXJE26YTXBPJ57WBDWNSSR/action/citation_signature","submit_replication":"https://pith.science/pith/2U43PXJE26YTXBPJ57WBDWNSSR/action/replication_record"}},"created_at":"2026-07-05T06:40:47.170695+00:00","updated_at":"2026-07-05T06:40:47.170695+00:00"}