{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5V3NOJUWIHZG3RUTPPXYJHUZ2A","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":"3043ba22fe6d7136841526331d126118ddd3e1201c8a22ac758463b11dbb11cc","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-06-17T17:30:14Z","title_canon_sha256":"52a9ee3edeed490d23e6aafa56e1377506694b3ce6d423a635b1a5ca569f8057"},"schema_version":"1.0","source":{"id":"2506.14745","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.14745","created_at":"2026-07-05T11:35:14Z"},{"alias_kind":"arxiv_version","alias_value":"2506.14745v1","created_at":"2026-07-05T11:35:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.14745","created_at":"2026-07-05T11:35:14Z"},{"alias_kind":"pith_short_12","alias_value":"5V3NOJUWIHZG","created_at":"2026-07-05T11:35:14Z"},{"alias_kind":"pith_short_16","alias_value":"5V3NOJUWIHZG3RUT","created_at":"2026-07-05T11:35:14Z"},{"alias_kind":"pith_short_8","alias_value":"5V3NOJUW","created_at":"2026-07-05T11:35:14Z"}],"graph_snapshots":[{"event_id":"sha256:365540e4369bf762aec10c79bf9cd11b4e135880d7402848c899f7bb66ea171f","target":"graph","created_at":"2026-07-05T11:35:14Z","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/2506.14745/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we introduce the Union-Intersection Union-Find (UIUF) algorithm for decoding depolarizing errors in topological codes, combining the strengths of iterative and standard Union-Find (UF) decoding. While iterative UF improves performance at moderate error rates, it lacks an error correction guarantee. To address this, we develop UIUF, which maintains the enhanced performance of iterative UF while ensuring error correction up to half the code distance. Through simulations under code capacity, phenomenological, and biased noise models, we show that UIUF significantly outperforms UF, ","authors_text":"Ching-Yi Lai, Tzu-Hao Lin","cross_cats":["cs.IT","math.IT"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-06-17T17:30:14Z","title":"Union-Intersection Union-Find for Decoding Depolarizing Errors in Topological Codes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.14745","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:ec97c622ff3151f47a5e53bf6b4327cc722630ae6cdb0127b512629ac785aed2","target":"record","created_at":"2026-07-05T11:35:14Z","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":"3043ba22fe6d7136841526331d126118ddd3e1201c8a22ac758463b11dbb11cc","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-06-17T17:30:14Z","title_canon_sha256":"52a9ee3edeed490d23e6aafa56e1377506694b3ce6d423a635b1a5ca569f8057"},"schema_version":"1.0","source":{"id":"2506.14745","kind":"arxiv","version":1}},"canonical_sha256":"ed76d7269641f26dc6937bef849e99d03b34fb514ffe274e81b6a4a09221b0ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ed76d7269641f26dc6937bef849e99d03b34fb514ffe274e81b6a4a09221b0ad","first_computed_at":"2026-07-05T11:35:14.620617Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:35:14.620617Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ThNlWzXRpEEKsKm4yPqY9/Uj1oegPZq9hiMauuardT8ygZAQzTwcHmcIgLDQVmP2ji123zWX8SBSEfS5YxBvCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:35:14.621104Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.14745","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ec97c622ff3151f47a5e53bf6b4327cc722630ae6cdb0127b512629ac785aed2","sha256:365540e4369bf762aec10c79bf9cd11b4e135880d7402848c899f7bb66ea171f"],"state_sha256":"d1d61d67ad85204338091069d089ba31454ebc6ce6873eb3fb87294c57b03829"}