{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:W4IEYZA7NEEJR264OVIU6KN4GA","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":"2707dda0bff1f825ee9b9c6b411056241cb1e755609b044e485502b30cec8f95","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-05-29T23:47:39Z","title_canon_sha256":"31db17f3dbbf93ec619c6b1e64ccb4d6bbc4335ce116b3475b04fe7aa8eb4a89"},"schema_version":"1.0","source":{"id":"2606.00433","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00433","created_at":"2026-06-02T01:03:54Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00433v1","created_at":"2026-06-02T01:03:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00433","created_at":"2026-06-02T01:03:54Z"},{"alias_kind":"pith_short_12","alias_value":"W4IEYZA7NEEJ","created_at":"2026-06-02T01:03:54Z"},{"alias_kind":"pith_short_16","alias_value":"W4IEYZA7NEEJR264","created_at":"2026-06-02T01:03:54Z"},{"alias_kind":"pith_short_8","alias_value":"W4IEYZA7","created_at":"2026-06-02T01:03:54Z"}],"graph_snapshots":[{"event_id":"sha256:77869b5748036d4ea4e313ef814ea4cc9b826be9f667a1ab4fb26a9a2b8d1e43","target":"graph","created_at":"2026-06-02T01:03:54Z","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/2606.00433/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate modeling of mid-circuit measurements (MCMs) is essential for dynamic-circuit operations such as syndrome extraction, measurement-based reset, and the separation of state-preparation and measurement (SPAM) error. Unlike terminal measurement, a noisy MCM both produces a classical outcome and alters the incoming quantum state, thereby influencing subsequent circuit operations. This makes conventional confusion-matrix or fidelity-level characterization insufficient. Here we introduce an efficient, self-consistent protocol for learning a single-qubit Z-twirled MCM instrument, retaining the","authors_text":"Alireza Seif, Bibek Pokharel, Chia-Tung Chu, Han Zheng, Liang Jiang, Senrui Chen, Su-un Lee","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-05-29T23:47:39Z","title":"Learning Mid-circuit Measurement Backaction from Three Repeated Measurements"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00433","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":"sha256:2b1e939d32c1c878751f90c5b1e3b3913bae4a21b820d380a2b523e0775f4283","target":"record","created_at":"2026-06-02T01:03:54Z","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":"2707dda0bff1f825ee9b9c6b411056241cb1e755609b044e485502b30cec8f95","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-05-29T23:47:39Z","title_canon_sha256":"31db17f3dbbf93ec619c6b1e64ccb4d6bbc4335ce116b3475b04fe7aa8eb4a89"},"schema_version":"1.0","source":{"id":"2606.00433","kind":"arxiv","version":1}},"canonical_sha256":"b7104c641f690898ebdc75514f29bc30095b19eddf938c1b3c1c7e87fde47156","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b7104c641f690898ebdc75514f29bc30095b19eddf938c1b3c1c7e87fde47156","first_computed_at":"2026-06-02T01:03:54.522530Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:03:54.522530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yQFM2g2ovDVKpys0DX9IEnyAhPpNlxL0HTKK/Ec0dq3jJi4Q74hzY35wJa524lK5k9u3kYjVjEuTJVMfCg3JDA==","signature_status":"signed_v1","signed_at":"2026-06-02T01:03:54.522920Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.00433","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b1e939d32c1c878751f90c5b1e3b3913bae4a21b820d380a2b523e0775f4283","sha256:77869b5748036d4ea4e313ef814ea4cc9b826be9f667a1ab4fb26a9a2b8d1e43"],"state_sha256":"bc40f32ece991fc7bec58f73e4bdfd7ed0c57eeffbd3c2a95a6a71e5f9e8ac81"}