{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:CPQCHVMVIXAHYYYAVFSE4325LH","short_pith_number":"pith:CPQCHVMV","canonical_record":{"source":{"id":"2008.07230","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2020-08-17T11:56:23Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a62d9ca2cc8bb1c991f6f8fdc1ec84d351c7a2adc16829b05a8b90096fc264c4","abstract_canon_sha256":"8bb3d6e8c5f5150d2c294f38d29c2f09b28a3fef21d8de1e0d18e6531af61950"},"schema_version":"1.0"},"canonical_sha256":"13e023d59545c07c6300a9644e6f5d59d2683fe78eea191c5e2c2031f28bb8f4","source":{"kind":"arxiv","id":"2008.07230","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.07230","created_at":"2026-07-05T03:18:38Z"},{"alias_kind":"arxiv_version","alias_value":"2008.07230v2","created_at":"2026-07-05T03:18:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.07230","created_at":"2026-07-05T03:18:38Z"},{"alias_kind":"pith_short_12","alias_value":"CPQCHVMVIXAH","created_at":"2026-07-05T03:18:38Z"},{"alias_kind":"pith_short_16","alias_value":"CPQCHVMVIXAHYYYA","created_at":"2026-07-05T03:18:38Z"},{"alias_kind":"pith_short_8","alias_value":"CPQCHVMV","created_at":"2026-07-05T03:18:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:CPQCHVMVIXAHYYYAVFSE4325LH","target":"record","payload":{"canonical_record":{"source":{"id":"2008.07230","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2020-08-17T11:56:23Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a62d9ca2cc8bb1c991f6f8fdc1ec84d351c7a2adc16829b05a8b90096fc264c4","abstract_canon_sha256":"8bb3d6e8c5f5150d2c294f38d29c2f09b28a3fef21d8de1e0d18e6531af61950"},"schema_version":"1.0"},"canonical_sha256":"13e023d59545c07c6300a9644e6f5d59d2683fe78eea191c5e2c2031f28bb8f4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:18:38.547056Z","signature_b64":"pbqq77KvojvvXANKGg55j+DCoa7dUSXsAH7Fafi+7BG64NyNKqVFzi3wRGw/G3rbCrC5Ji/8YTQTC2Zn42QKDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"13e023d59545c07c6300a9644e6f5d59d2683fe78eea191c5e2c2031f28bb8f4","last_reissued_at":"2026-07-05T03:18:38.546624Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:18:38.546624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.07230","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:18:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NoFb/LM6uwJhbfMNZJXwZRti9n1rnvRaZYNwhOl7qNmBDdGokK+yBoDBgjX5tRPuCgSSPiQBGLp8esiWFHhHAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:20:25.709395Z"},"content_sha256":"cbff93522817dd292d628d7d3d6274ee6a6e66f8859292b1a2ceb702f600124e","schema_version":"1.0","event_id":"sha256:cbff93522817dd292d628d7d3d6274ee6a6e66f8859292b1a2ceb702f600124e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:CPQCHVMVIXAHYYYAVFSE4325LH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robustness Verification of Quantum Classifiers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"quant-ph","authors_text":"Ji Guan, Mingsheng Ying, Wang Fang","submitted_at":"2020-08-17T11:56:23Z","abstract_excerpt":"Several important models of machine learning algorithms have been successfully generalized to the quantum world, with potential speedup to training classical classifiers and applications to data analytics in quantum physics that can be implemented on the near future quantum computers. However, quantum noise is a major obstacle to the practical implementation of quantum machine learning. In this work, we define a formal framework for the robustness verification and analysis of quantum machine learning algorithms against noises. A robust bound is derived and an algorithm is developed to check wh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.07230","kind":"arxiv","version":2},"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/2008.07230/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":"2026-07-05T03:18:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9yZOZBiE3Hwa8gyzUPysdv+Vm81Koqpj4K/ss1G9lavamtuCsBOnBPg8SKhbQ43+NQWLKgBUt3L1L+nCjMmkDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:20:25.709909Z"},"content_sha256":"6869d624c2161212ea8564f3e21a86a989fc9f774a9631d28164c58e21ad01b3","schema_version":"1.0","event_id":"sha256:6869d624c2161212ea8564f3e21a86a989fc9f774a9631d28164c58e21ad01b3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CPQCHVMVIXAHYYYAVFSE4325LH/bundle.json","state_url":"https://pith.science/pith/CPQCHVMVIXAHYYYAVFSE4325LH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CPQCHVMVIXAHYYYAVFSE4325LH/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":"2026-08-04T12:20:25Z","links":{"resolver":"https://pith.science/pith/CPQCHVMVIXAHYYYAVFSE4325LH","bundle":"https://pith.science/pith/CPQCHVMVIXAHYYYAVFSE4325LH/bundle.json","state":"https://pith.science/pith/CPQCHVMVIXAHYYYAVFSE4325LH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CPQCHVMVIXAHYYYAVFSE4325LH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:CPQCHVMVIXAHYYYAVFSE4325LH","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":"8bb3d6e8c5f5150d2c294f38d29c2f09b28a3fef21d8de1e0d18e6531af61950","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2020-08-17T11:56:23Z","title_canon_sha256":"a62d9ca2cc8bb1c991f6f8fdc1ec84d351c7a2adc16829b05a8b90096fc264c4"},"schema_version":"1.0","source":{"id":"2008.07230","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.07230","created_at":"2026-07-05T03:18:38Z"},{"alias_kind":"arxiv_version","alias_value":"2008.07230v2","created_at":"2026-07-05T03:18:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.07230","created_at":"2026-07-05T03:18:38Z"},{"alias_kind":"pith_short_12","alias_value":"CPQCHVMVIXAH","created_at":"2026-07-05T03:18:38Z"},{"alias_kind":"pith_short_16","alias_value":"CPQCHVMVIXAHYYYA","created_at":"2026-07-05T03:18:38Z"},{"alias_kind":"pith_short_8","alias_value":"CPQCHVMV","created_at":"2026-07-05T03:18:38Z"}],"graph_snapshots":[{"event_id":"sha256:6869d624c2161212ea8564f3e21a86a989fc9f774a9631d28164c58e21ad01b3","target":"graph","created_at":"2026-07-05T03:18:38Z","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/2008.07230/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Several important models of machine learning algorithms have been successfully generalized to the quantum world, with potential speedup to training classical classifiers and applications to data analytics in quantum physics that can be implemented on the near future quantum computers. However, quantum noise is a major obstacle to the practical implementation of quantum machine learning. In this work, we define a formal framework for the robustness verification and analysis of quantum machine learning algorithms against noises. A robust bound is derived and an algorithm is developed to check wh","authors_text":"Ji Guan, Mingsheng Ying, Wang Fang","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2020-08-17T11:56:23Z","title":"Robustness Verification of Quantum Classifiers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.07230","kind":"arxiv","version":2},"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:cbff93522817dd292d628d7d3d6274ee6a6e66f8859292b1a2ceb702f600124e","target":"record","created_at":"2026-07-05T03:18:38Z","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":"8bb3d6e8c5f5150d2c294f38d29c2f09b28a3fef21d8de1e0d18e6531af61950","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2020-08-17T11:56:23Z","title_canon_sha256":"a62d9ca2cc8bb1c991f6f8fdc1ec84d351c7a2adc16829b05a8b90096fc264c4"},"schema_version":"1.0","source":{"id":"2008.07230","kind":"arxiv","version":2}},"canonical_sha256":"13e023d59545c07c6300a9644e6f5d59d2683fe78eea191c5e2c2031f28bb8f4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"13e023d59545c07c6300a9644e6f5d59d2683fe78eea191c5e2c2031f28bb8f4","first_computed_at":"2026-07-05T03:18:38.546624Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:18:38.546624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pbqq77KvojvvXANKGg55j+DCoa7dUSXsAH7Fafi+7BG64NyNKqVFzi3wRGw/G3rbCrC5Ji/8YTQTC2Zn42QKDg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:18:38.547056Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.07230","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cbff93522817dd292d628d7d3d6274ee6a6e66f8859292b1a2ceb702f600124e","sha256:6869d624c2161212ea8564f3e21a86a989fc9f774a9631d28164c58e21ad01b3"],"state_sha256":"480a549d197d4ef64db13a6a138d0618ea147b4bafed2805cc8e71aeecce0979"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ED1uZCsKsvafcboe2eeopVw6qxA+MdGOhCH8/d/JURo6t7Po9xfvdyzoN/HNj/3YLFdhFvzAZMJ/pfb15uDUCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T12:20:25.715092Z","bundle_sha256":"2c0c7b26d51b1b8495072c06c0f5f0db97a9e7e8effe99c37a7bb7a084832ed6"}}