{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AGXGRBTKMMGFWE3L3MLIJNHZL7","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"006287c481335df7efe4c3dcd99a9d9ac31e65e9f2d081ae2fed903087eea556","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-02-06T19:43:51Z","title_canon_sha256":"58fcfe8730cc3b78f0311c94a6ae9b2051100dfc50a3ffe20354eb862d51ace0"},"schema_version":"1.0","source":{"id":"2502.04471","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.04471","created_at":"2026-07-05T10:10:52Z"},{"alias_kind":"arxiv_version","alias_value":"2502.04471v1","created_at":"2026-07-05T10:10:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.04471","created_at":"2026-07-05T10:10:52Z"},{"alias_kind":"pith_short_12","alias_value":"AGXGRBTKMMGF","created_at":"2026-07-05T10:10:52Z"},{"alias_kind":"pith_short_16","alias_value":"AGXGRBTKMMGFWE3L","created_at":"2026-07-05T10:10:52Z"},{"alias_kind":"pith_short_8","alias_value":"AGXGRBTK","created_at":"2026-07-05T10:10:52Z"}],"graph_snapshots":[{"event_id":"sha256:e45ef0678728391cdc6857d52ea212e51518bceda6611715d7ff4928b3c5381c","target":"graph","created_at":"2026-07-05T10:10:52Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2502.04471/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Testing and debugging quantum software pose significant challenges due to the inherent complexities of quantum mechanics, such as superposition and entanglement. One challenge is indeterminacy, a fundamental characteristic of quantum systems, which increases the likelihood of flaky tests in quantum programs. To the best of our knowledge, there is a lack of comprehensive studies on quantum flakiness in the existing literature. In this paper, we present a novel machine learning platform that leverages multiple machine learning models to automatically detect flaky tests in quantum programs. Our e","authors_text":"Ainaz Jamshidi, Dongchan Kim, Khushdeep Kaur, Lei Zhang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-02-06T19:43:51Z","title":"Identifying Flaky Tests in Quantum Code: A Machine Learning Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.04471","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:dbefdcb85255af4504c64bda93b0092f9bec2d1f834f8a5afbdfe655ffb429b1","target":"record","created_at":"2026-07-05T10:10:52Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"006287c481335df7efe4c3dcd99a9d9ac31e65e9f2d081ae2fed903087eea556","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-02-06T19:43:51Z","title_canon_sha256":"58fcfe8730cc3b78f0311c94a6ae9b2051100dfc50a3ffe20354eb862d51ace0"},"schema_version":"1.0","source":{"id":"2502.04471","kind":"arxiv","version":1}},"canonical_sha256":"01ae68866a630c5b136bdb1684b4f95ff6f4e1d0ad9d857636d30b17dc107ccb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"01ae68866a630c5b136bdb1684b4f95ff6f4e1d0ad9d857636d30b17dc107ccb","first_computed_at":"2026-07-05T10:10:52.185388Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:10:52.185388Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ykcclbFLMFF7taSjwGJtPXw8t76X9BBv0qhddjI8wMHHYVXLX/Dxqgk1kvHhBPLBS+rYpTXKJ7V0D9vtezWHCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:10:52.185891Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.04471","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dbefdcb85255af4504c64bda93b0092f9bec2d1f834f8a5afbdfe655ffb429b1","sha256:e45ef0678728391cdc6857d52ea212e51518bceda6611715d7ff4928b3c5381c"],"state_sha256":"e25d6ae9a7ceb95e1b0f533eda507bde3e544ccc9480818bfad5ea38fdc5a35e"}