{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:6PO7DZU3RODGIBU3QDEPIXGCM6","short_pith_number":"pith:6PO7DZU3","schema_version":"1.0","canonical_sha256":"f3ddf1e69b8b8664069b80c8f45cc267b20b669b48bb3060fd21313a9cd350ff","source":{"kind":"arxiv","id":"2306.05715","version":1},"attestation_state":"computed","paper":{"title":"Exploring the Responses of Large Language Models to Beginner Programmers' Help Requests","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.HC","cs.SE"],"primary_cat":"cs.CY","authors_text":"Arto Hellas, Charles Koutcheme, Juha Sorva, Juho Leinonen, Lilja Kujanp\\\"a\\\"a, Sami Sarsa","submitted_at":"2023-06-09T07:19:43Z","abstract_excerpt":"Background and Context: Over the past year, large language models (LLMs) have taken the world by storm. In computing education, like in other walks of life, many opportunities and threats have emerged as a consequence.\n  Objectives: In this article, we explore such opportunities and threats in a specific area: responding to student programmers' help requests. More specifically, we assess how good LLMs are at identifying issues in problematic code that students request help on.\n  Method: We collected a sample of help requests and code from an online programming course. We then prompted two diff"},"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":"2306.05715","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2023-06-09T07:19:43Z","cross_cats_sorted":["cs.AI","cs.CL","cs.HC","cs.SE"],"title_canon_sha256":"bc2137c4c3c833256e55f7d253d849947f96cd7062cc4a70e230ae9277d9398d","abstract_canon_sha256":"588137dde3854b52516d72157c5e796013b683acfe02d53b7ee87c7af8801d68"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:19:09.397082Z","signature_b64":"HxFhIFVQnek0KwbMns9eBogKahkDPXWbGwTGcIX3w2lQ5AvhgCMwJoBosZJeoX78hzJwCkM+7FAPHXuzm4V/AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f3ddf1e69b8b8664069b80c8f45cc267b20b669b48bb3060fd21313a9cd350ff","last_reissued_at":"2026-07-05T06:19:09.396620Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:19:09.396620Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Exploring the Responses of Large Language Models to Beginner Programmers' Help Requests","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.HC","cs.SE"],"primary_cat":"cs.CY","authors_text":"Arto Hellas, Charles Koutcheme, Juha Sorva, Juho Leinonen, Lilja Kujanp\\\"a\\\"a, Sami Sarsa","submitted_at":"2023-06-09T07:19:43Z","abstract_excerpt":"Background and Context: Over the past year, large language models (LLMs) have taken the world by storm. In computing education, like in other walks of life, many opportunities and threats have emerged as a consequence.\n  Objectives: In this article, we explore such opportunities and threats in a specific area: responding to student programmers' help requests. More specifically, we assess how good LLMs are at identifying issues in problematic code that students request help on.\n  Method: We collected a sample of help requests and code from an online programming course. We then prompted two diff"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.05715","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/2306.05715/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":"2306.05715","created_at":"2026-07-05T06:19:09.396701+00:00"},{"alias_kind":"arxiv_version","alias_value":"2306.05715v1","created_at":"2026-07-05T06:19:09.396701+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.05715","created_at":"2026-07-05T06:19:09.396701+00:00"},{"alias_kind":"pith_short_12","alias_value":"6PO7DZU3RODG","created_at":"2026-07-05T06:19:09.396701+00:00"},{"alias_kind":"pith_short_16","alias_value":"6PO7DZU3RODGIBU3","created_at":"2026-07-05T06:19:09.396701+00:00"},{"alias_kind":"pith_short_8","alias_value":"6PO7DZU3","created_at":"2026-07-05T06:19:09.396701+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/6PO7DZU3RODGIBU3QDEPIXGCM6","json":"https://pith.science/pith/6PO7DZU3RODGIBU3QDEPIXGCM6.json","graph_json":"https://pith.science/api/pith-number/6PO7DZU3RODGIBU3QDEPIXGCM6/graph.json","events_json":"https://pith.science/api/pith-number/6PO7DZU3RODGIBU3QDEPIXGCM6/events.json","paper":"https://pith.science/paper/6PO7DZU3"},"agent_actions":{"view_html":"https://pith.science/pith/6PO7DZU3RODGIBU3QDEPIXGCM6","download_json":"https://pith.science/pith/6PO7DZU3RODGIBU3QDEPIXGCM6.json","view_paper":"https://pith.science/paper/6PO7DZU3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2306.05715&json=true","fetch_graph":"https://pith.science/api/pith-number/6PO7DZU3RODGIBU3QDEPIXGCM6/graph.json","fetch_events":"https://pith.science/api/pith-number/6PO7DZU3RODGIBU3QDEPIXGCM6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6PO7DZU3RODGIBU3QDEPIXGCM6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6PO7DZU3RODGIBU3QDEPIXGCM6/action/storage_attestation","attest_author":"https://pith.science/pith/6PO7DZU3RODGIBU3QDEPIXGCM6/action/author_attestation","sign_citation":"https://pith.science/pith/6PO7DZU3RODGIBU3QDEPIXGCM6/action/citation_signature","submit_replication":"https://pith.science/pith/6PO7DZU3RODGIBU3QDEPIXGCM6/action/replication_record"}},"created_at":"2026-07-05T06:19:09.396701+00:00","updated_at":"2026-07-05T06:19:09.396701+00:00"}