{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:JBACEWIPDEBWS3DXXBTGC7QUDM","short_pith_number":"pith:JBACEWIP","canonical_record":{"source":{"id":"2306.12688","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-06-22T06:21:45Z","cross_cats_sorted":["cs.AI","cs.ET","cs.LG"],"title_canon_sha256":"12b07c2359aac51906b6b3e2ad3804bf196b8e0b7e4789a64036c76c7171e5b7","abstract_canon_sha256":"2442d85d579e4d9603f325109f1a8f128de4df80626eed4850c600f127ef4e0d"},"schema_version":"1.0"},"canonical_sha256":"484022590f1903696c77b866617e141b20e42c2900258ae9c692310e1566b4c7","source":{"kind":"arxiv","id":"2306.12688","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.12688","created_at":"2026-07-05T06:23:41Z"},{"alias_kind":"arxiv_version","alias_value":"2306.12688v1","created_at":"2026-07-05T06:23:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.12688","created_at":"2026-07-05T06:23:41Z"},{"alias_kind":"pith_short_12","alias_value":"JBACEWIPDEBW","created_at":"2026-07-05T06:23:41Z"},{"alias_kind":"pith_short_16","alias_value":"JBACEWIPDEBWS3DX","created_at":"2026-07-05T06:23:41Z"},{"alias_kind":"pith_short_8","alias_value":"JBACEWIP","created_at":"2026-07-05T06:23:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:JBACEWIPDEBWS3DXXBTGC7QUDM","target":"record","payload":{"canonical_record":{"source":{"id":"2306.12688","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-06-22T06:21:45Z","cross_cats_sorted":["cs.AI","cs.ET","cs.LG"],"title_canon_sha256":"12b07c2359aac51906b6b3e2ad3804bf196b8e0b7e4789a64036c76c7171e5b7","abstract_canon_sha256":"2442d85d579e4d9603f325109f1a8f128de4df80626eed4850c600f127ef4e0d"},"schema_version":"1.0"},"canonical_sha256":"484022590f1903696c77b866617e141b20e42c2900258ae9c692310e1566b4c7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:23:41.445858Z","signature_b64":"oih9g1MIqS+YfaiDDf3zhLG0TRFXr8VRjkd0LRMVrko15b4lg5e2XlBmgZXu7UseRS1BAREyViD4TpLNSGHfCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"484022590f1903696c77b866617e141b20e42c2900258ae9c692310e1566b4c7","last_reissued_at":"2026-07-05T06:23:41.445359Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:23:41.445359Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.12688","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":"2026-07-05T06:23:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mOU99SzEPaNc9tDjR77M7TeLWLVkEL+XOXPszCVAotJI4wEkD69HCghsBklDEWkuitnCDjo3UY4jFaWeYuv1DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T00:41:26.187458Z"},"content_sha256":"b3ce20b7d602aacf542cce6d063f0c0ce357375dfb3b1b3442d5c61ee9c2941f","schema_version":"1.0","event_id":"sha256:b3ce20b7d602aacf542cce6d063f0c0ce357375dfb3b1b3442d5c61ee9c2941f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:JBACEWIPDEBWS3DXXBTGC7QUDM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards quantum enhanced adversarial robustness in machine learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.ET","cs.LG"],"primary_cat":"quant-ph","authors_text":"Charles D. Hill, Christopher Leckie, Jia S. Low, Lloyd C.L. Hollenberg, Maxwell T. West, Muhammad Usman, Sarah M. Erfani, Shu-Lok Tsang","submitted_at":"2023-06-22T06:21:45Z","abstract_excerpt":"Machine learning algorithms are powerful tools for data driven tasks such as image classification and feature detection, however their vulnerability to adversarial examples - input samples manipulated to fool the algorithm - remains a serious challenge. The integration of machine learning with quantum computing has the potential to yield tools offering not only better accuracy and computational efficiency, but also superior robustness against adversarial attacks. Indeed, recent work has employed quantum mechanical phenomena to defend against adversarial attacks, spurring the rapid development "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.12688","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/2306.12688/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":"2026-07-05T06:23:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y8E5Z62kM+LJwuyF3C/afPTgRZ3jrSDGShEFoxrXt5494FLKq/Nd3fv1plvYZPiE3oRd8j4Pi/91Jh1sMOdwBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T00:41:26.188200Z"},"content_sha256":"e996ccd2cf22c3a86a8b78596ae5fab1f3d2a48c96bac8f0bbd0316b2b283a57","schema_version":"1.0","event_id":"sha256:e996ccd2cf22c3a86a8b78596ae5fab1f3d2a48c96bac8f0bbd0316b2b283a57"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JBACEWIPDEBWS3DXXBTGC7QUDM/bundle.json","state_url":"https://pith.science/pith/JBACEWIPDEBWS3DXXBTGC7QUDM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JBACEWIPDEBWS3DXXBTGC7QUDM/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":"2026-08-08T00:41:26Z","links":{"resolver":"https://pith.science/pith/JBACEWIPDEBWS3DXXBTGC7QUDM","bundle":"https://pith.science/pith/JBACEWIPDEBWS3DXXBTGC7QUDM/bundle.json","state":"https://pith.science/pith/JBACEWIPDEBWS3DXXBTGC7QUDM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JBACEWIPDEBWS3DXXBTGC7QUDM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JBACEWIPDEBWS3DXXBTGC7QUDM","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":"2442d85d579e4d9603f325109f1a8f128de4df80626eed4850c600f127ef4e0d","cross_cats_sorted":["cs.AI","cs.ET","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-06-22T06:21:45Z","title_canon_sha256":"12b07c2359aac51906b6b3e2ad3804bf196b8e0b7e4789a64036c76c7171e5b7"},"schema_version":"1.0","source":{"id":"2306.12688","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.12688","created_at":"2026-07-05T06:23:41Z"},{"alias_kind":"arxiv_version","alias_value":"2306.12688v1","created_at":"2026-07-05T06:23:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.12688","created_at":"2026-07-05T06:23:41Z"},{"alias_kind":"pith_short_12","alias_value":"JBACEWIPDEBW","created_at":"2026-07-05T06:23:41Z"},{"alias_kind":"pith_short_16","alias_value":"JBACEWIPDEBWS3DX","created_at":"2026-07-05T06:23:41Z"},{"alias_kind":"pith_short_8","alias_value":"JBACEWIP","created_at":"2026-07-05T06:23:41Z"}],"graph_snapshots":[{"event_id":"sha256:e996ccd2cf22c3a86a8b78596ae5fab1f3d2a48c96bac8f0bbd0316b2b283a57","target":"graph","created_at":"2026-07-05T06:23:41Z","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/2306.12688/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning algorithms are powerful tools for data driven tasks such as image classification and feature detection, however their vulnerability to adversarial examples - input samples manipulated to fool the algorithm - remains a serious challenge. The integration of machine learning with quantum computing has the potential to yield tools offering not only better accuracy and computational efficiency, but also superior robustness against adversarial attacks. Indeed, recent work has employed quantum mechanical phenomena to defend against adversarial attacks, spurring the rapid development ","authors_text":"Charles D. Hill, Christopher Leckie, Jia S. Low, Lloyd C.L. Hollenberg, Maxwell T. West, Muhammad Usman, Sarah M. Erfani, Shu-Lok Tsang","cross_cats":["cs.AI","cs.ET","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-06-22T06:21:45Z","title":"Towards quantum enhanced adversarial robustness in machine learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.12688","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:b3ce20b7d602aacf542cce6d063f0c0ce357375dfb3b1b3442d5c61ee9c2941f","target":"record","created_at":"2026-07-05T06:23:41Z","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":"2442d85d579e4d9603f325109f1a8f128de4df80626eed4850c600f127ef4e0d","cross_cats_sorted":["cs.AI","cs.ET","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-06-22T06:21:45Z","title_canon_sha256":"12b07c2359aac51906b6b3e2ad3804bf196b8e0b7e4789a64036c76c7171e5b7"},"schema_version":"1.0","source":{"id":"2306.12688","kind":"arxiv","version":1}},"canonical_sha256":"484022590f1903696c77b866617e141b20e42c2900258ae9c692310e1566b4c7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"484022590f1903696c77b866617e141b20e42c2900258ae9c692310e1566b4c7","first_computed_at":"2026-07-05T06:23:41.445359Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:23:41.445359Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oih9g1MIqS+YfaiDDf3zhLG0TRFXr8VRjkd0LRMVrko15b4lg5e2XlBmgZXu7UseRS1BAREyViD4TpLNSGHfCA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:23:41.445858Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.12688","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b3ce20b7d602aacf542cce6d063f0c0ce357375dfb3b1b3442d5c61ee9c2941f","sha256:e996ccd2cf22c3a86a8b78596ae5fab1f3d2a48c96bac8f0bbd0316b2b283a57"],"state_sha256":"f1a396ae7bc7c55cb801059caa70594f18e272758da265a63d1d9e74079be284"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ARdLN6+wHIeCytNQghujh8ohUEPwspimkqt15iErKMrUQQOY+8kRuNfrlwmS7PWjcN+YBVabmhXIbRtN2wXCBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T00:41:26.193498Z","bundle_sha256":"0a445c357f4b1904481a02838c1c5ff1fc24c54de07477b190040b217d4f0b69"}}