{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:DZQLH32I5IOSXOYB6KPYEZXZFO","short_pith_number":"pith:DZQLH32I","schema_version":"1.0","canonical_sha256":"1e60b3ef48ea1d2bbb01f29f8266f92b97ddc21026b90ed92795e4b2a1d167af","source":{"kind":"arxiv","id":"2601.16755","version":2},"attestation_state":"computed","paper":{"title":"An Empirical Study of Foundation Models for Variability-Induced Compilation Errors in Configurable C Code","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Danyllo Albuquerque, Eduardo Almeida, Lucas Albuquerque, M\\'arcio Ribeiro, Mirko Perkusich, Rohit Gheyi","submitted_at":"2026-01-23T13:59:34Z","abstract_excerpt":"In configurable systems, conditional compilation can hide compilation errors under untested feature combinations. We investigate foundation models for detecting such errors and, in a controlled setting, restoring compilability in configurable C code. Study I evaluates GPT-OSS-20B on 5,000 synthetic snippets generated by ChatGPT-5.2 from 30 curated seeds and exhaustively compiled under all Boolean feature assignments; it also compares TypeChef and evaluates Gemini 3.6 Flash on a stratified sample. GPT-OSS-20B achieved 84.7% micro-precision and 52.1% micro-recall for affected configurations. Cov"},"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":"2601.16755","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-01-23T13:59:34Z","cross_cats_sorted":[],"title_canon_sha256":"198aee917b57c2d17bc1e8cd6b6e057f52f018d8490587336ef38511c686c4eb","abstract_canon_sha256":"197c050b7398cc08f0cd91930dc95f7571ab392f4e1d33217c7f9531cd7758af"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e60b3ef48ea1d2bbb01f29f8266f92b97ddc21026b90ed92795e4b2a1d167af","last_reissued_at":"2026-07-30T01:16:51.276192Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-30T01:16:51.276192Z"},"graph_snapshot":{"paper":{"title":"An Empirical Study of Foundation Models for Variability-Induced Compilation Errors in Configurable C Code","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Danyllo Albuquerque, Eduardo Almeida, Lucas Albuquerque, M\\'arcio Ribeiro, Mirko Perkusich, Rohit Gheyi","submitted_at":"2026-01-23T13:59:34Z","abstract_excerpt":"In configurable systems, conditional compilation can hide compilation errors under untested feature combinations. We investigate foundation models for detecting such errors and, in a controlled setting, restoring compilability in configurable C code. Study I evaluates GPT-OSS-20B on 5,000 synthetic snippets generated by ChatGPT-5.2 from 30 curated seeds and exhaustively compiled under all Boolean feature assignments; it also compares TypeChef and evaluates Gemini 3.6 Flash on a stratified sample. GPT-OSS-20B achieved 84.7% micro-precision and 52.1% micro-recall for affected configurations. Cov"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.16755","kind":"arxiv","version":2},"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/2601.16755/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":"2601.16755","created_at":"2026-07-30T01:16:51.281371+00:00"},{"alias_kind":"arxiv_version","alias_value":"2601.16755v2","created_at":"2026-07-30T01:16:51.281371+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.16755","created_at":"2026-07-30T01:16:51.281371+00:00"},{"alias_kind":"pith_short_12","alias_value":"DZQLH32I5IOS","created_at":"2026-07-30T01:16:51.281371+00:00"},{"alias_kind":"pith_short_16","alias_value":"DZQLH32I5IOSXOYB","created_at":"2026-07-30T01:16:51.281371+00:00"},{"alias_kind":"pith_short_8","alias_value":"DZQLH32I","created_at":"2026-07-30T01:16:51.281371+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/DZQLH32I5IOSXOYB6KPYEZXZFO","json":"https://pith.science/pith/DZQLH32I5IOSXOYB6KPYEZXZFO.json","graph_json":"https://pith.science/api/pith-number/DZQLH32I5IOSXOYB6KPYEZXZFO/graph.json","events_json":"https://pith.science/api/pith-number/DZQLH32I5IOSXOYB6KPYEZXZFO/events.json","paper":"https://pith.science/paper/DZQLH32I"},"agent_actions":{"view_html":"https://pith.science/pith/DZQLH32I5IOSXOYB6KPYEZXZFO","download_json":"https://pith.science/pith/DZQLH32I5IOSXOYB6KPYEZXZFO.json","view_paper":"https://pith.science/paper/DZQLH32I","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2601.16755&json=true","fetch_graph":"https://pith.science/api/pith-number/DZQLH32I5IOSXOYB6KPYEZXZFO/graph.json","fetch_events":"https://pith.science/api/pith-number/DZQLH32I5IOSXOYB6KPYEZXZFO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DZQLH32I5IOSXOYB6KPYEZXZFO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DZQLH32I5IOSXOYB6KPYEZXZFO/action/storage_attestation","attest_author":"https://pith.science/pith/DZQLH32I5IOSXOYB6KPYEZXZFO/action/author_attestation","sign_citation":"https://pith.science/pith/DZQLH32I5IOSXOYB6KPYEZXZFO/action/citation_signature","submit_replication":"https://pith.science/pith/DZQLH32I5IOSXOYB6KPYEZXZFO/action/replication_record"}},"created_at":"2026-07-30T01:16:51.281371+00:00","updated_at":"2026-07-30T01:16:51.281371+00:00"}