{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:E4KOTSHYSDKWD2NXI2XSBBD2A2","short_pith_number":"pith:E4KOTSHY","canonical_record":{"source":{"id":"2411.16653","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2024-11-25T18:38:06Z","cross_cats_sorted":[],"title_canon_sha256":"babbcd6f4de99dfbb825074566b5c4beeb4dfbe5c1057b31198e45d956ca3913","abstract_canon_sha256":"1087e7f9173b5f127d3b8ffb90420a8045bc65bb811620ddd7d72d3854ae3170"},"schema_version":"1.0"},"canonical_sha256":"2714e9c8f890d561e9b746af20847a0686535f0690fcb5470855eac1af2f3786","source":{"kind":"arxiv","id":"2411.16653","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16653","created_at":"2026-07-05T09:40:12Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16653v1","created_at":"2026-07-05T09:40:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16653","created_at":"2026-07-05T09:40:12Z"},{"alias_kind":"pith_short_12","alias_value":"E4KOTSHYSDKW","created_at":"2026-07-05T09:40:12Z"},{"alias_kind":"pith_short_16","alias_value":"E4KOTSHYSDKWD2NX","created_at":"2026-07-05T09:40:12Z"},{"alias_kind":"pith_short_8","alias_value":"E4KOTSHY","created_at":"2026-07-05T09:40:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:E4KOTSHYSDKWD2NXI2XSBBD2A2","target":"record","payload":{"canonical_record":{"source":{"id":"2411.16653","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2024-11-25T18:38:06Z","cross_cats_sorted":[],"title_canon_sha256":"babbcd6f4de99dfbb825074566b5c4beeb4dfbe5c1057b31198e45d956ca3913","abstract_canon_sha256":"1087e7f9173b5f127d3b8ffb90420a8045bc65bb811620ddd7d72d3854ae3170"},"schema_version":"1.0"},"canonical_sha256":"2714e9c8f890d561e9b746af20847a0686535f0690fcb5470855eac1af2f3786","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:40:12.446779Z","signature_b64":"nCH604i0ooIja/CjusCBIlcJnaC1ZC/J+dFgC0wlKdtxdA8aPuKkmIbpagUaubZTDdp37oTl8Izn1FJWcOFRCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2714e9c8f890d561e9b746af20847a0686535f0690fcb5470855eac1af2f3786","last_reissued_at":"2026-07-05T09:40:12.446401Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:40:12.446401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.16653","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:40:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wUfBNJo9PKjzMY8YpEG8VB1XxrqlTR1rIfk1mlzX9O2MY9/pneKeycgS9gO8PZp9V4Hdb8SrkaSOx0dF8rUiDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T02:28:24.272816Z"},"content_sha256":"7b7abaa4dd8a82f4d92b879350d7637d574b7782c5defb3ae1318cef13ad8fea","schema_version":"1.0","event_id":"sha256:7b7abaa4dd8a82f4d92b879350d7637d574b7782c5defb3ae1318cef13ad8fea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:E4KOTSHYSDKWD2NXI2XSBBD2A2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Extension of Clifford Data Regression Methods for Quantum Error Mitigation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Alba Pag\\`es-Zamora, Javier R. Fonollosa, Jordi P\\'erez-Guijarro","submitted_at":"2024-11-25T18:38:06Z","abstract_excerpt":"To address the challenge posed by noise in real quantum devices, quantum error mitigation techniques play a crucial role. These techniques are resource-efficient, making them suitable for implementation in noisy intermediate-scale quantum devices, unlike the more resource-intensive quantum error correction codes. A notable example of such a technique is Clifford Data Regression, which employs a supervised learning approach. This work investigates two variants of this technique, both of which introduce a non-trivial set of gates into the original circuit. The first variant uses multiple copies "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16653","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/2411.16653/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:40:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OlQ2J3CfS+qNgRoaHruNCr/LNR42+A2ve3bkQmuWse+9SGgXEYqPIaEsQFhllyXh0h878WC406djtyLtk8pEAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T02:28:24.273196Z"},"content_sha256":"54b8d0f7de26f9c7eea82ff7bf34f9a0e4fd1e36db5dfe2f5b5a9bcfe02a872f","schema_version":"1.0","event_id":"sha256:54b8d0f7de26f9c7eea82ff7bf34f9a0e4fd1e36db5dfe2f5b5a9bcfe02a872f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E4KOTSHYSDKWD2NXI2XSBBD2A2/bundle.json","state_url":"https://pith.science/pith/E4KOTSHYSDKWD2NXI2XSBBD2A2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E4KOTSHYSDKWD2NXI2XSBBD2A2/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-13T02:28:24Z","links":{"resolver":"https://pith.science/pith/E4KOTSHYSDKWD2NXI2XSBBD2A2","bundle":"https://pith.science/pith/E4KOTSHYSDKWD2NXI2XSBBD2A2/bundle.json","state":"https://pith.science/pith/E4KOTSHYSDKWD2NXI2XSBBD2A2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E4KOTSHYSDKWD2NXI2XSBBD2A2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:E4KOTSHYSDKWD2NXI2XSBBD2A2","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":"1087e7f9173b5f127d3b8ffb90420a8045bc65bb811620ddd7d72d3854ae3170","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2024-11-25T18:38:06Z","title_canon_sha256":"babbcd6f4de99dfbb825074566b5c4beeb4dfbe5c1057b31198e45d956ca3913"},"schema_version":"1.0","source":{"id":"2411.16653","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16653","created_at":"2026-07-05T09:40:12Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16653v1","created_at":"2026-07-05T09:40:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16653","created_at":"2026-07-05T09:40:12Z"},{"alias_kind":"pith_short_12","alias_value":"E4KOTSHYSDKW","created_at":"2026-07-05T09:40:12Z"},{"alias_kind":"pith_short_16","alias_value":"E4KOTSHYSDKWD2NX","created_at":"2026-07-05T09:40:12Z"},{"alias_kind":"pith_short_8","alias_value":"E4KOTSHY","created_at":"2026-07-05T09:40:12Z"}],"graph_snapshots":[{"event_id":"sha256:54b8d0f7de26f9c7eea82ff7bf34f9a0e4fd1e36db5dfe2f5b5a9bcfe02a872f","target":"graph","created_at":"2026-07-05T09:40:12Z","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/2411.16653/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To address the challenge posed by noise in real quantum devices, quantum error mitigation techniques play a crucial role. These techniques are resource-efficient, making them suitable for implementation in noisy intermediate-scale quantum devices, unlike the more resource-intensive quantum error correction codes. A notable example of such a technique is Clifford Data Regression, which employs a supervised learning approach. This work investigates two variants of this technique, both of which introduce a non-trivial set of gates into the original circuit. The first variant uses multiple copies ","authors_text":"Alba Pag\\`es-Zamora, Javier R. Fonollosa, Jordi P\\'erez-Guijarro","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2024-11-25T18:38:06Z","title":"Extension of Clifford Data Regression Methods for Quantum Error Mitigation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16653","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":"sha256:7b7abaa4dd8a82f4d92b879350d7637d574b7782c5defb3ae1318cef13ad8fea","target":"record","created_at":"2026-07-05T09:40:12Z","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":"1087e7f9173b5f127d3b8ffb90420a8045bc65bb811620ddd7d72d3854ae3170","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2024-11-25T18:38:06Z","title_canon_sha256":"babbcd6f4de99dfbb825074566b5c4beeb4dfbe5c1057b31198e45d956ca3913"},"schema_version":"1.0","source":{"id":"2411.16653","kind":"arxiv","version":1}},"canonical_sha256":"2714e9c8f890d561e9b746af20847a0686535f0690fcb5470855eac1af2f3786","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2714e9c8f890d561e9b746af20847a0686535f0690fcb5470855eac1af2f3786","first_computed_at":"2026-07-05T09:40:12.446401Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:40:12.446401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nCH604i0ooIja/CjusCBIlcJnaC1ZC/J+dFgC0wlKdtxdA8aPuKkmIbpagUaubZTDdp37oTl8Izn1FJWcOFRCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:40:12.446779Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.16653","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7b7abaa4dd8a82f4d92b879350d7637d574b7782c5defb3ae1318cef13ad8fea","sha256:54b8d0f7de26f9c7eea82ff7bf34f9a0e4fd1e36db5dfe2f5b5a9bcfe02a872f"],"state_sha256":"96d2ae7b9db744bd3c2515de3d670f19f15dcf534c3954ea00a80378208811ae"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bHbBAKtN3XZGtBKvd15YC44keRMYL05tUg8DgDQlT+pHhA9MXx4i1Fv32h5eL0Ne2og6CXeosTzHameXTDlBBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T02:28:24.276571Z","bundle_sha256":"357d00cbf28e2fbc22514b4086213e49ed7c45544db08fe336023db96e926832"}}