{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:OVAYJPFIXHGC54BPDZNYIJM7C6","short_pith_number":"pith:OVAYJPFI","canonical_record":{"source":{"id":"2306.05042","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-06-08T08:49:58Z","cross_cats_sorted":["cs.ET"],"title_canon_sha256":"af59dc66eb83f7ae8716b42eec86df084d984e21a79da53e3b1827af1e51d9c4","abstract_canon_sha256":"efb6ef5a504636f76ca6a2a45097b42d6b42e16d43730626681af7af5d6cf414"},"schema_version":"1.0"},"canonical_sha256":"754184bca8b9cc2ef02f1e5b84259f17a621eb3c9afee7bd6567cbaeafb8b897","source":{"kind":"arxiv","id":"2306.05042","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.05042","created_at":"2026-07-05T07:59:02Z"},{"alias_kind":"arxiv_version","alias_value":"2306.05042v3","created_at":"2026-07-05T07:59:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.05042","created_at":"2026-07-05T07:59:02Z"},{"alias_kind":"pith_short_12","alias_value":"OVAYJPFIXHGC","created_at":"2026-07-05T07:59:02Z"},{"alias_kind":"pith_short_16","alias_value":"OVAYJPFIXHGC54BP","created_at":"2026-07-05T07:59:02Z"},{"alias_kind":"pith_short_8","alias_value":"OVAYJPFI","created_at":"2026-07-05T07:59:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:OVAYJPFIXHGC54BPDZNYIJM7C6","target":"record","payload":{"canonical_record":{"source":{"id":"2306.05042","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-06-08T08:49:58Z","cross_cats_sorted":["cs.ET"],"title_canon_sha256":"af59dc66eb83f7ae8716b42eec86df084d984e21a79da53e3b1827af1e51d9c4","abstract_canon_sha256":"efb6ef5a504636f76ca6a2a45097b42d6b42e16d43730626681af7af5d6cf414"},"schema_version":"1.0"},"canonical_sha256":"754184bca8b9cc2ef02f1e5b84259f17a621eb3c9afee7bd6567cbaeafb8b897","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:59:02.890470Z","signature_b64":"ugZ5KHRlcoeYhEsGLwzyX+nRgcCoGoVO6oYp1en/zbXT0QQTgynzHeIZHbZ/wK9FaFIiltNbHxudNIfcEyNcBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"754184bca8b9cc2ef02f1e5b84259f17a621eb3c9afee7bd6567cbaeafb8b897","last_reissued_at":"2026-07-05T07:59:02.890007Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:59:02.890007Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.05042","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:59:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+a857P9bVFyEE5TLHMeJ22y4PgikI71gSF90vpy0u66mLf99vfUUsTFRLBkuwzHTiXUoZvTwiT5bcVbPDEMnDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T07:07:28.327605Z"},"content_sha256":"6f071c6c942b2331a431e9f78761810f2c47884e17fd15ff3a047b79a321720e","schema_version":"1.0","event_id":"sha256:6f071c6c942b2331a431e9f78761810f2c47884e17fd15ff3a047b79a321720e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:OVAYJPFIXHGC54BPDZNYIJM7C6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Benchmarking Quantum Surrogate Models on Scarce and Noisy Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.ET"],"primary_cat":"quant-ph","authors_text":"Claudia Linnhoff-Popien, Dani\\\"elle Schuman, Jonas N\\\"u{\\ss}lein, Jonas Stein, Michael K\\\"olle, Michael Poppel, Philip Adamczyk, Philipp Altmann, Ramona Fabry, Thomas Ehmer, Vijay Narasimhan, Zixin Wu","submitted_at":"2023-06-08T08:49:58Z","abstract_excerpt":"Surrogate models are ubiquitously used in industry and academia to efficiently approximate given black box functions. As state-of-the-art methods from classical machine learning frequently struggle to solve this problem accurately for the often scarce and noisy data sets in practical applications, investigating novel approaches is of great interest. Motivated by recent theoretical results indicating that quantum neural networks (QNNs) have the potential to outperform their classical analogs in the presence of scarce and noisy data, we benchmark their qualitative performance for this scenario e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.05042","kind":"arxiv","version":3},"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/2306.05042/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":"2026-07-05T07:59:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"upO8YDHiablhQDSFgD77UTgdbd/2w+854JD2NFGOUfTWnbQgwrPDTwZxgi9LohXGqv4HbVGZTG1g4mUSQW3FBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T07:07:28.327988Z"},"content_sha256":"35899e546fb0420c4ee5dd91b0ab1c4f82ca6ed68e735b160f29e52eef993202","schema_version":"1.0","event_id":"sha256:35899e546fb0420c4ee5dd91b0ab1c4f82ca6ed68e735b160f29e52eef993202"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OVAYJPFIXHGC54BPDZNYIJM7C6/bundle.json","state_url":"https://pith.science/pith/OVAYJPFIXHGC54BPDZNYIJM7C6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OVAYJPFIXHGC54BPDZNYIJM7C6/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":"2026-07-12T07:07:28Z","links":{"resolver":"https://pith.science/pith/OVAYJPFIXHGC54BPDZNYIJM7C6","bundle":"https://pith.science/pith/OVAYJPFIXHGC54BPDZNYIJM7C6/bundle.json","state":"https://pith.science/pith/OVAYJPFIXHGC54BPDZNYIJM7C6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OVAYJPFIXHGC54BPDZNYIJM7C6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:OVAYJPFIXHGC54BPDZNYIJM7C6","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":"efb6ef5a504636f76ca6a2a45097b42d6b42e16d43730626681af7af5d6cf414","cross_cats_sorted":["cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-06-08T08:49:58Z","title_canon_sha256":"af59dc66eb83f7ae8716b42eec86df084d984e21a79da53e3b1827af1e51d9c4"},"schema_version":"1.0","source":{"id":"2306.05042","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.05042","created_at":"2026-07-05T07:59:02Z"},{"alias_kind":"arxiv_version","alias_value":"2306.05042v3","created_at":"2026-07-05T07:59:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.05042","created_at":"2026-07-05T07:59:02Z"},{"alias_kind":"pith_short_12","alias_value":"OVAYJPFIXHGC","created_at":"2026-07-05T07:59:02Z"},{"alias_kind":"pith_short_16","alias_value":"OVAYJPFIXHGC54BP","created_at":"2026-07-05T07:59:02Z"},{"alias_kind":"pith_short_8","alias_value":"OVAYJPFI","created_at":"2026-07-05T07:59:02Z"}],"graph_snapshots":[{"event_id":"sha256:35899e546fb0420c4ee5dd91b0ab1c4f82ca6ed68e735b160f29e52eef993202","target":"graph","created_at":"2026-07-05T07:59:02Z","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/2306.05042/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Surrogate models are ubiquitously used in industry and academia to efficiently approximate given black box functions. As state-of-the-art methods from classical machine learning frequently struggle to solve this problem accurately for the often scarce and noisy data sets in practical applications, investigating novel approaches is of great interest. Motivated by recent theoretical results indicating that quantum neural networks (QNNs) have the potential to outperform their classical analogs in the presence of scarce and noisy data, we benchmark their qualitative performance for this scenario e","authors_text":"Claudia Linnhoff-Popien, Dani\\\"elle Schuman, Jonas N\\\"u{\\ss}lein, Jonas Stein, Michael K\\\"olle, Michael Poppel, Philip Adamczyk, Philipp Altmann, Ramona Fabry, Thomas Ehmer, Vijay Narasimhan, Zixin Wu","cross_cats":["cs.ET"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-06-08T08:49:58Z","title":"Benchmarking Quantum Surrogate Models on Scarce and Noisy Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.05042","kind":"arxiv","version":3},"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":"sha256:6f071c6c942b2331a431e9f78761810f2c47884e17fd15ff3a047b79a321720e","target":"record","created_at":"2026-07-05T07:59:02Z","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":"efb6ef5a504636f76ca6a2a45097b42d6b42e16d43730626681af7af5d6cf414","cross_cats_sorted":["cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-06-08T08:49:58Z","title_canon_sha256":"af59dc66eb83f7ae8716b42eec86df084d984e21a79da53e3b1827af1e51d9c4"},"schema_version":"1.0","source":{"id":"2306.05042","kind":"arxiv","version":3}},"canonical_sha256":"754184bca8b9cc2ef02f1e5b84259f17a621eb3c9afee7bd6567cbaeafb8b897","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"754184bca8b9cc2ef02f1e5b84259f17a621eb3c9afee7bd6567cbaeafb8b897","first_computed_at":"2026-07-05T07:59:02.890007Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:59:02.890007Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ugZ5KHRlcoeYhEsGLwzyX+nRgcCoGoVO6oYp1en/zbXT0QQTgynzHeIZHbZ/wK9FaFIiltNbHxudNIfcEyNcBg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:59:02.890470Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.05042","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f071c6c942b2331a431e9f78761810f2c47884e17fd15ff3a047b79a321720e","sha256:35899e546fb0420c4ee5dd91b0ab1c4f82ca6ed68e735b160f29e52eef993202"],"state_sha256":"15d46526ba37e3de6044c3d7170cbf00a7a1d80739f1c5f52b5a5c351e3deafd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b6GJs1Jvn+vhD46VUgTWuGGUWQY37PvdKKkvdYMIHxisTEP70ZaRXce0VaDIG2KxfBiVzevEOjeJ/x0wQb+hAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-12T07:07:28.330832Z","bundle_sha256":"103ba36b2ece70b544dd6c06babf5be8b2f0cf4f4f1686b06531c19a3c495e13"}}