{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:BI3PJSJEQI33Y2YZ7UMLVFMMTD","short_pith_number":"pith:BI3PJSJE","schema_version":"1.0","canonical_sha256":"0a36f4c9248237bc6b19fd18ba958c98c0a24bfd3350d035e44dbad4d8b539da","source":{"kind":"arxiv","id":"2608.02030","version":1},"attestation_state":"computed","paper":{"title":"Zero-G: A Pre-Decoder-Aware Decoder for Quantum Error Correction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Aleksandra \\'Swierkowska, Emmanouil Giortamis, Peter Wegmann, Pramod Bhatotia, Theofilos Augoustis","submitted_at":"2026-08-03T10:25:29Z","abstract_excerpt":"Fault-tolerant quantum computing requires classical decoders that keep pace with the underlying hardware, translating syndrome measurements into corrections fast enough to avoid an exponential backlog. To meet this real-time constraint, pre-decoders have emerged as part of a hierarchical decoding approach to resolve simple, local errors before passing a sparser residual syndrome to a strong decoder. While pre-decoding should, in theory, speed up the strong decoder, in practice, the speedup is only marginal, since existing strong decoders are designed to decode dense syndromes and cannot exploi"},"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":"2608.02030","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-08-03T10:25:29Z","cross_cats_sorted":[],"title_canon_sha256":"f9fff45d0481586866668ae639f06c734d31a1a4fcc5c2d650e8af4e76e0d02e","abstract_canon_sha256":"f21a04cf7e1aaebb95dea85813444b051c486e62dc80927880d77136c7f8409f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-04T02:10:32.537211Z","signature_b64":"McsbA4yLzUV4+IZ+hT/nfcDuesxHn5vvn0dWb1ngm2jjhxk1LfkozEiHhq7BR3h6Sd85Anis21LpOlECmiZyCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0a36f4c9248237bc6b19fd18ba958c98c0a24bfd3350d035e44dbad4d8b539da","last_reissued_at":"2026-08-04T02:10:32.535630Z","signature_status":"signed_v1","first_computed_at":"2026-08-04T02:10:32.535630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Zero-G: A Pre-Decoder-Aware Decoder for Quantum Error Correction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Aleksandra \\'Swierkowska, Emmanouil Giortamis, Peter Wegmann, Pramod Bhatotia, Theofilos Augoustis","submitted_at":"2026-08-03T10:25:29Z","abstract_excerpt":"Fault-tolerant quantum computing requires classical decoders that keep pace with the underlying hardware, translating syndrome measurements into corrections fast enough to avoid an exponential backlog. To meet this real-time constraint, pre-decoders have emerged as part of a hierarchical decoding approach to resolve simple, local errors before passing a sparser residual syndrome to a strong decoder. While pre-decoding should, in theory, speed up the strong decoder, in practice, the speedup is only marginal, since existing strong decoders are designed to decode dense syndromes and cannot exploi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.02030","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/2608.02030/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":"2608.02030","created_at":"2026-08-04T02:10:32.537226+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.02030v1","created_at":"2026-08-04T02:10:32.537226+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.02030","created_at":"2026-08-04T02:10:32.537226+00:00"},{"alias_kind":"pith_short_12","alias_value":"BI3PJSJEQI33","created_at":"2026-08-04T02:10:32.537226+00:00"},{"alias_kind":"pith_short_16","alias_value":"BI3PJSJEQI33Y2YZ","created_at":"2026-08-04T02:10:32.537226+00:00"},{"alias_kind":"pith_short_8","alias_value":"BI3PJSJE","created_at":"2026-08-04T02:10:32.537226+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2608.10576","citing_title":"Stream Decoding with Confidence Scores at Room and Cryogenic Temperatures","ref_index":42,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BI3PJSJEQI33Y2YZ7UMLVFMMTD","json":"https://pith.science/pith/BI3PJSJEQI33Y2YZ7UMLVFMMTD.json","graph_json":"https://pith.science/api/pith-number/BI3PJSJEQI33Y2YZ7UMLVFMMTD/graph.json","events_json":"https://pith.science/api/pith-number/BI3PJSJEQI33Y2YZ7UMLVFMMTD/events.json","paper":"https://pith.science/paper/BI3PJSJE"},"agent_actions":{"view_html":"https://pith.science/pith/BI3PJSJEQI33Y2YZ7UMLVFMMTD","download_json":"https://pith.science/pith/BI3PJSJEQI33Y2YZ7UMLVFMMTD.json","view_paper":"https://pith.science/paper/BI3PJSJE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.02030&json=true","fetch_graph":"https://pith.science/api/pith-number/BI3PJSJEQI33Y2YZ7UMLVFMMTD/graph.json","fetch_events":"https://pith.science/api/pith-number/BI3PJSJEQI33Y2YZ7UMLVFMMTD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BI3PJSJEQI33Y2YZ7UMLVFMMTD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BI3PJSJEQI33Y2YZ7UMLVFMMTD/action/storage_attestation","attest_author":"https://pith.science/pith/BI3PJSJEQI33Y2YZ7UMLVFMMTD/action/author_attestation","sign_citation":"https://pith.science/pith/BI3PJSJEQI33Y2YZ7UMLVFMMTD/action/citation_signature","submit_replication":"https://pith.science/pith/BI3PJSJEQI33Y2YZ7UMLVFMMTD/action/replication_record"}},"created_at":"2026-08-04T02:10:32.537226+00:00","updated_at":"2026-08-04T02:10:32.537226+00:00"}