{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:ZF7B6WMY2O3VPUPIY2A3NXBEFH","short_pith_number":"pith:ZF7B6WMY","canonical_record":{"source":{"id":"2607.02696","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-07-02T18:38:23Z","cross_cats_sorted":[],"title_canon_sha256":"dadccde4c57d7d11d6d913ca0c4e169f6d5e20a7ed87b3da4119faa6e99bd6b3","abstract_canon_sha256":"d51a6d96a5adfbcc3bc9f5a9b440bd2d020b9e8a2299efcd313df6fef00ce912"},"schema_version":"1.0"},"canonical_sha256":"c97e1f5998d3b757d1e8c681b6dc2429f23ef85b191dfc9b120ba3389f60a2c0","source":{"kind":"arxiv","id":"2607.02696","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02696","created_at":"2026-07-07T00:16:09Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02696v1","created_at":"2026-07-07T00:16:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02696","created_at":"2026-07-07T00:16:09Z"},{"alias_kind":"pith_short_12","alias_value":"ZF7B6WMY2O3V","created_at":"2026-07-07T00:16:09Z"},{"alias_kind":"pith_short_16","alias_value":"ZF7B6WMY2O3VPUPI","created_at":"2026-07-07T00:16:09Z"},{"alias_kind":"pith_short_8","alias_value":"ZF7B6WMY","created_at":"2026-07-07T00:16:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:ZF7B6WMY2O3VPUPIY2A3NXBEFH","target":"record","payload":{"canonical_record":{"source":{"id":"2607.02696","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-07-02T18:38:23Z","cross_cats_sorted":[],"title_canon_sha256":"dadccde4c57d7d11d6d913ca0c4e169f6d5e20a7ed87b3da4119faa6e99bd6b3","abstract_canon_sha256":"d51a6d96a5adfbcc3bc9f5a9b440bd2d020b9e8a2299efcd313df6fef00ce912"},"schema_version":"1.0"},"canonical_sha256":"c97e1f5998d3b757d1e8c681b6dc2429f23ef85b191dfc9b120ba3389f60a2c0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T00:16:09.110023Z","signature_b64":"1gJxvqLYz6VMumjF6URDQB+Wm4jVX8useqcZN/iEaI0yrwXQdhrV53G+aYBiZyg/+Y+SqcK7Zat5WmMPtTJBCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c97e1f5998d3b757d1e8c681b6dc2429f23ef85b191dfc9b120ba3389f60a2c0","last_reissued_at":"2026-07-07T00:16:09.109391Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T00:16:09.109391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.02696","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":"2026-07-07T00:16:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L/Z2LS7kRDLzJ+6ukItegARVbCreUOZuDh+eIEMlh2BDU0q4Ik9Q0QVDgRPljcYQrCmoz8O6MEHjn3gDTdGFBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T13:42:54.519333Z"},"content_sha256":"b2ca56a1398885ddbedb7ff898548617211db5632016b64960d88e4c75c8ee2a","schema_version":"1.0","event_id":"sha256:b2ca56a1398885ddbedb7ff898548617211db5632016b64960d88e4c75c8ee2a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:ZF7B6WMY2O3VPUPIY2A3NXBEFH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Parametrized-circuit-free quantum regression with variance regularization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Andrey Kardashin, Konstantin Antipin, Vladimir V. Palyulin, Yerassyl Balkybek","submitted_at":"2026-07-02T18:38:23Z","abstract_excerpt":"Quantum regression tasks for predicting properties of quantum states are commonly addressed using variational quantum algorithms. While variational quantum circuits are highly expressive and allow to achieve reasonable accuracy, training these circuits may demand a considerable amount of time and resources. In this work, we propose an approach of constructing problem-specific quantum regression models with encoding relevant symmetries and regularizing the variance. The proposed method is based on finding the coefficients of the linear combination of suitably chosen observables. Although it req"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02696","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/2607.02696/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":"2026-07-07T00:16:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TMXhGw/QTd2YlPU0HL2E0m0MhBTAxmNAnUzmbI5tyZ/jeekaB3YYAbZX28OrLAfNlsn8WDppRKGf5GtvmjiYDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T13:42:54.519635Z"},"content_sha256":"a8140dec3cfc2b93df4e63db2e9e8f3af4d62be938e5a75d66eb73772ad7a436","schema_version":"1.0","event_id":"sha256:a8140dec3cfc2b93df4e63db2e9e8f3af4d62be938e5a75d66eb73772ad7a436"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZF7B6WMY2O3VPUPIY2A3NXBEFH/bundle.json","state_url":"https://pith.science/pith/ZF7B6WMY2O3VPUPIY2A3NXBEFH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZF7B6WMY2O3VPUPIY2A3NXBEFH/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":"2026-07-31T13:42:54Z","links":{"resolver":"https://pith.science/pith/ZF7B6WMY2O3VPUPIY2A3NXBEFH","bundle":"https://pith.science/pith/ZF7B6WMY2O3VPUPIY2A3NXBEFH/bundle.json","state":"https://pith.science/pith/ZF7B6WMY2O3VPUPIY2A3NXBEFH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZF7B6WMY2O3VPUPIY2A3NXBEFH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ZF7B6WMY2O3VPUPIY2A3NXBEFH","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":"d51a6d96a5adfbcc3bc9f5a9b440bd2d020b9e8a2299efcd313df6fef00ce912","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-07-02T18:38:23Z","title_canon_sha256":"dadccde4c57d7d11d6d913ca0c4e169f6d5e20a7ed87b3da4119faa6e99bd6b3"},"schema_version":"1.0","source":{"id":"2607.02696","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02696","created_at":"2026-07-07T00:16:09Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02696v1","created_at":"2026-07-07T00:16:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02696","created_at":"2026-07-07T00:16:09Z"},{"alias_kind":"pith_short_12","alias_value":"ZF7B6WMY2O3V","created_at":"2026-07-07T00:16:09Z"},{"alias_kind":"pith_short_16","alias_value":"ZF7B6WMY2O3VPUPI","created_at":"2026-07-07T00:16:09Z"},{"alias_kind":"pith_short_8","alias_value":"ZF7B6WMY","created_at":"2026-07-07T00:16:09Z"}],"graph_snapshots":[{"event_id":"sha256:a8140dec3cfc2b93df4e63db2e9e8f3af4d62be938e5a75d66eb73772ad7a436","target":"graph","created_at":"2026-07-07T00:16:09Z","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/2607.02696/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantum regression tasks for predicting properties of quantum states are commonly addressed using variational quantum algorithms. While variational quantum circuits are highly expressive and allow to achieve reasonable accuracy, training these circuits may demand a considerable amount of time and resources. In this work, we propose an approach of constructing problem-specific quantum regression models with encoding relevant symmetries and regularizing the variance. The proposed method is based on finding the coefficients of the linear combination of suitably chosen observables. Although it req","authors_text":"Andrey Kardashin, Konstantin Antipin, Vladimir V. Palyulin, Yerassyl Balkybek","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-07-02T18:38:23Z","title":"Parametrized-circuit-free quantum regression with variance regularization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02696","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:b2ca56a1398885ddbedb7ff898548617211db5632016b64960d88e4c75c8ee2a","target":"record","created_at":"2026-07-07T00:16:09Z","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":"d51a6d96a5adfbcc3bc9f5a9b440bd2d020b9e8a2299efcd313df6fef00ce912","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-07-02T18:38:23Z","title_canon_sha256":"dadccde4c57d7d11d6d913ca0c4e169f6d5e20a7ed87b3da4119faa6e99bd6b3"},"schema_version":"1.0","source":{"id":"2607.02696","kind":"arxiv","version":1}},"canonical_sha256":"c97e1f5998d3b757d1e8c681b6dc2429f23ef85b191dfc9b120ba3389f60a2c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c97e1f5998d3b757d1e8c681b6dc2429f23ef85b191dfc9b120ba3389f60a2c0","first_computed_at":"2026-07-07T00:16:09.109391Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T00:16:09.109391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1gJxvqLYz6VMumjF6URDQB+Wm4jVX8useqcZN/iEaI0yrwXQdhrV53G+aYBiZyg/+Y+SqcK7Zat5WmMPtTJBCw==","signature_status":"signed_v1","signed_at":"2026-07-07T00:16:09.110023Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.02696","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b2ca56a1398885ddbedb7ff898548617211db5632016b64960d88e4c75c8ee2a","sha256:a8140dec3cfc2b93df4e63db2e9e8f3af4d62be938e5a75d66eb73772ad7a436"],"state_sha256":"cd049e46c8ea6e5c34f1767809d220dd90ff277276387d3a6d4178aebec9766c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DE2O5w5uGo7pRl+qlRR32JEifvVQS94TPg+N3GFuoyW9Ujy4G3YBPDixwCPN/v83MxFXfHML8cxdm57ARWutDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T13:42:54.522111Z","bundle_sha256":"2eef563e340614fb05659bbe3ce910a1cc72c00b45962647bc362abf2371de74"}}