{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:UL2K5FW4MWDVNSVJQQRQSRFP3M","short_pith_number":"pith:UL2K5FW4","schema_version":"1.0","canonical_sha256":"a2f4ae96dc658756caa984230944afdb2b55cb361a1ab582179e3c1a2ce5438a","source":{"kind":"arxiv","id":"2607.17022","version":1},"attestation_state":"computed","paper":{"title":"Can LLM Code Explanations Adapt to Diverse Problem-Solvers' Needs?","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.SE","authors_text":"Andrew Anderson, David Piorkowski, Justin Weisz, Kush Varshney, Margaret Burnett","submitted_at":"2026-07-19T01:20:42Z","abstract_excerpt":"Large language model (LLM) code explanations can support people in solving code-related problems, yet prior work has shown that people have diverse problem-solving styles. If explanations fail to meet people's problem-solving needs, they may be less productive in their occupations and miss opportunities to learn and grow. Although some research has examined how LLMs can adapt their outputs to a user's age or expertise, no prior work has examined how LLMs can adapt their code explanations to people's problem-solving styles. To address this gap, we developed prompts from an established inclusive"},"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":"2607.17022","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-19T01:20:42Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"e5deb7a3de7301d06be13a6920979c20477db057296be47841af80ece0685c88","abstract_canon_sha256":"ca548ea587c204dc798a81b7bdcdbc2dd138051a90fa0b350f37bfe02996d9d2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-21T01:21:11.014467Z","signature_b64":"Rw5Zr4hRMZT4NcNFCwi3YX7hqgHgMg3/UBow4+6c+0KlgN2gqP2MzZNR8gJGkYdgnjZZpFdHGnz8r2xBTyTyBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2f4ae96dc658756caa984230944afdb2b55cb361a1ab582179e3c1a2ce5438a","last_reissued_at":"2026-07-21T01:21:11.013634Z","signature_status":"signed_v1","first_computed_at":"2026-07-21T01:21:11.013634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Can LLM Code Explanations Adapt to Diverse Problem-Solvers' Needs?","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.SE","authors_text":"Andrew Anderson, David Piorkowski, Justin Weisz, Kush Varshney, Margaret Burnett","submitted_at":"2026-07-19T01:20:42Z","abstract_excerpt":"Large language model (LLM) code explanations can support people in solving code-related problems, yet prior work has shown that people have diverse problem-solving styles. If explanations fail to meet people's problem-solving needs, they may be less productive in their occupations and miss opportunities to learn and grow. Although some research has examined how LLMs can adapt their outputs to a user's age or expertise, no prior work has examined how LLMs can adapt their code explanations to people's problem-solving styles. To address this gap, we developed prompts from an established inclusive"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.17022","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/2607.17022/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":"2607.17022","created_at":"2026-07-21T01:21:11.014055+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.17022v1","created_at":"2026-07-21T01:21:11.014055+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.17022","created_at":"2026-07-21T01:21:11.014055+00:00"},{"alias_kind":"pith_short_12","alias_value":"UL2K5FW4MWDV","created_at":"2026-07-21T01:21:11.014055+00:00"},{"alias_kind":"pith_short_16","alias_value":"UL2K5FW4MWDVNSVJ","created_at":"2026-07-21T01:21:11.014055+00:00"},{"alias_kind":"pith_short_8","alias_value":"UL2K5FW4","created_at":"2026-07-21T01:21:11.014055+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/UL2K5FW4MWDVNSVJQQRQSRFP3M","json":"https://pith.science/pith/UL2K5FW4MWDVNSVJQQRQSRFP3M.json","graph_json":"https://pith.science/api/pith-number/UL2K5FW4MWDVNSVJQQRQSRFP3M/graph.json","events_json":"https://pith.science/api/pith-number/UL2K5FW4MWDVNSVJQQRQSRFP3M/events.json","paper":"https://pith.science/paper/UL2K5FW4"},"agent_actions":{"view_html":"https://pith.science/pith/UL2K5FW4MWDVNSVJQQRQSRFP3M","download_json":"https://pith.science/pith/UL2K5FW4MWDVNSVJQQRQSRFP3M.json","view_paper":"https://pith.science/paper/UL2K5FW4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.17022&json=true","fetch_graph":"https://pith.science/api/pith-number/UL2K5FW4MWDVNSVJQQRQSRFP3M/graph.json","fetch_events":"https://pith.science/api/pith-number/UL2K5FW4MWDVNSVJQQRQSRFP3M/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UL2K5FW4MWDVNSVJQQRQSRFP3M/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UL2K5FW4MWDVNSVJQQRQSRFP3M/action/storage_attestation","attest_author":"https://pith.science/pith/UL2K5FW4MWDVNSVJQQRQSRFP3M/action/author_attestation","sign_citation":"https://pith.science/pith/UL2K5FW4MWDVNSVJQQRQSRFP3M/action/citation_signature","submit_replication":"https://pith.science/pith/UL2K5FW4MWDVNSVJQQRQSRFP3M/action/replication_record"}},"created_at":"2026-07-21T01:21:11.014055+00:00","updated_at":"2026-07-21T01:21:11.014055+00:00"}