{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:CLMOKQBAOP7NBXCQBYPAMPGXVY","short_pith_number":"pith:CLMOKQBA","canonical_record":{"source":{"id":"2605.18821","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-12T14:41:20Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"550d4bf216929e2cc0fe439a95df82a3ba17098574841a53f848eeb5237bc9d5","abstract_canon_sha256":"0a1c268b9111b9055304e0e48bf2d19a380bbcad19c89fa2a028e0c09168a2d7"},"schema_version":"1.0"},"canonical_sha256":"12d8e5402073fed0dc500e1e063cd7ae2d4f55bfa9ce44095213ce3ef0d33208","source":{"kind":"arxiv","id":"2605.18821","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18821","created_at":"2026-05-20T00:06:24Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18821v1","created_at":"2026-05-20T00:06:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18821","created_at":"2026-05-20T00:06:24Z"},{"alias_kind":"pith_short_12","alias_value":"CLMOKQBAOP7N","created_at":"2026-05-20T00:06:24Z"},{"alias_kind":"pith_short_16","alias_value":"CLMOKQBAOP7NBXCQ","created_at":"2026-05-20T00:06:24Z"},{"alias_kind":"pith_short_8","alias_value":"CLMOKQBA","created_at":"2026-05-20T00:06:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:CLMOKQBAOP7NBXCQBYPAMPGXVY","target":"record","payload":{"canonical_record":{"source":{"id":"2605.18821","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-12T14:41:20Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"550d4bf216929e2cc0fe439a95df82a3ba17098574841a53f848eeb5237bc9d5","abstract_canon_sha256":"0a1c268b9111b9055304e0e48bf2d19a380bbcad19c89fa2a028e0c09168a2d7"},"schema_version":"1.0"},"canonical_sha256":"12d8e5402073fed0dc500e1e063cd7ae2d4f55bfa9ce44095213ce3ef0d33208","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:06:24.361731Z","signature_b64":"iZqIfcHoXgnY7KYCEtGbI5Ra7X8q/+sASWvy1Baly3nccVF3SlUZA3neD3PuPwrcesOX/tlBFFG0eI+Qw7s4BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12d8e5402073fed0dc500e1e063cd7ae2d4f55bfa9ce44095213ce3ef0d33208","last_reissued_at":"2026-05-20T00:06:24.360918Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:06:24.360918Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.18821","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":"2026-05-20T00:06:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PMZYTgkRk2fHJZNtQb8KDBVwM2JhwjK4AfiDxj+6qxXnHmNqKeo6GCugykwFzPzCsK3v/oE5o6dvbPbTmgqxAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T03:50:29.059686Z"},"content_sha256":"d72acd350a88cc2777921f2b4f9da36a9963476dfdcc71da434903463a8b9a37","schema_version":"1.0","event_id":"sha256:d72acd350a88cc2777921f2b4f9da36a9963476dfdcc71da434903463a8b9a37"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:CLMOKQBAOP7NBXCQBYPAMPGXVY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.LG","authors_text":"Dorsa Vazirzade, Erfan Mahmoudinia, Fateme Ghasemi, Kimia Haghjooei, Mohammad Meymani, Peyman Paknezhad, Roozbeh Razavi-Far, Saeed Saravani, Somayeh Nikkhoo","submitted_at":"2026-05-12T14:41:20Z","abstract_excerpt":"Machine learning has revolutionized numerous industrial domains. Despite recent advances, machine learning models remain vulnerable to adversarial threats. Adversarial machine learning is a field that studies these vulnerabilities to build robust machine learning models. Quantum machine learning is an interdisciplinary field that bridges quantum computing and classical machine learning. While quantum machine learning shows potentials to outperform classical machine learning in complex tasks such as regression, classification, and generative modeling, it remains vulnerable to adversarial attack"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18821","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/2605.18821/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":"2026-05-20T00:06:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HPMrG8YB0Bn9TPkBBJeA6ifm7j3dwKpJ4Nmo+By2ldEqOgFQTxlNGlxALUwKIFaLGDdRM6rpGlFYw/o4tW0qBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T03:50:29.060408Z"},"content_sha256":"3babf57618b4214b8ca9d513ba917cf4cb14504f9d67c8fcfe3c61f508fcee5a","schema_version":"1.0","event_id":"sha256:3babf57618b4214b8ca9d513ba917cf4cb14504f9d67c8fcfe3c61f508fcee5a"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:CLMOKQBAOP7NBXCQBYPAMPGXVY","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/TPS-ISA50397.2020.0002846) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"D. Edwards, D.B. Rawat,Quantum Adversarial Machine Learning: Status, Challenges and Perspec- tives, in2020 Second IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)(2020), pp. 128–","arxiv_id":"2605.18821","detector":"doi_compliance","evidence":{"ref_index":20,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"D. Edwards, D.B. Rawat,Quantum Adversarial Machine Learning: Status, Challenges and Perspec- tives, in2020 Second IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)(2020), pp. 128–","reconstructed_doi":"10.1109/TPS-ISA50397.2020.0002846"},"severity":"advisory","ref_index":20,"audited_at":"2026-05-20T22:38:36.757773Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/TPS-ISA50397.2020.0002846","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"f2261d0e5ad721e25c0be1c7216685e1d44afc95b5ac9f45119d669b3834813e","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":5475,"payload_sha256":"edf2b13e0ff04ef01f3081337e8c77ebf3d0684ad7483f07269cbcdb7fe6066b","signature_b64":"1oFcZ8/+M0SuppJCLd3rQBSCc5kQ7Yi7iZvjpQCS4rpQN+C9LyrmWLU6IgTxdvMRXV67pJwVGy9/vLyCpuTIAg==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T22:38:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QJo0jJshxvnfdvWrlu/MjyvJ/+a6hNuJI7i4HXCWWN1ETL46WOl22DEZzWFpr7sDO22QJINR+f+1Dy7c7u30DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T03:50:29.061730Z"},"content_sha256":"cc204ffa0eba5fc1420029318af52bd8a61a61426b8b50452a613637f6ec3178","schema_version":"1.0","event_id":"sha256:cc204ffa0eba5fc1420029318af52bd8a61a61426b8b50452a613637f6ec3178"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CLMOKQBAOP7NBXCQBYPAMPGXVY/bundle.json","state_url":"https://pith.science/pith/CLMOKQBAOP7NBXCQBYPAMPGXVY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CLMOKQBAOP7NBXCQBYPAMPGXVY/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":"2026-05-24T03:50:29Z","links":{"resolver":"https://pith.science/pith/CLMOKQBAOP7NBXCQBYPAMPGXVY","bundle":"https://pith.science/pith/CLMOKQBAOP7NBXCQBYPAMPGXVY/bundle.json","state":"https://pith.science/pith/CLMOKQBAOP7NBXCQBYPAMPGXVY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CLMOKQBAOP7NBXCQBYPAMPGXVY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:CLMOKQBAOP7NBXCQBYPAMPGXVY","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"0a1c268b9111b9055304e0e48bf2d19a380bbcad19c89fa2a028e0c09168a2d7","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-12T14:41:20Z","title_canon_sha256":"550d4bf216929e2cc0fe439a95df82a3ba17098574841a53f848eeb5237bc9d5"},"schema_version":"1.0","source":{"id":"2605.18821","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18821","created_at":"2026-05-20T00:06:24Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18821v1","created_at":"2026-05-20T00:06:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18821","created_at":"2026-05-20T00:06:24Z"},{"alias_kind":"pith_short_12","alias_value":"CLMOKQBAOP7N","created_at":"2026-05-20T00:06:24Z"},{"alias_kind":"pith_short_16","alias_value":"CLMOKQBAOP7NBXCQ","created_at":"2026-05-20T00:06:24Z"},{"alias_kind":"pith_short_8","alias_value":"CLMOKQBA","created_at":"2026-05-20T00:06:24Z"}],"graph_snapshots":[{"event_id":"sha256:3babf57618b4214b8ca9d513ba917cf4cb14504f9d67c8fcfe3c61f508fcee5a","target":"graph","created_at":"2026-05-20T00:06:24Z","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/2605.18821/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning has revolutionized numerous industrial domains. Despite recent advances, machine learning models remain vulnerable to adversarial threats. Adversarial machine learning is a field that studies these vulnerabilities to build robust machine learning models. Quantum machine learning is an interdisciplinary field that bridges quantum computing and classical machine learning. While quantum machine learning shows potentials to outperform classical machine learning in complex tasks such as regression, classification, and generative modeling, it remains vulnerable to adversarial attack","authors_text":"Dorsa Vazirzade, Erfan Mahmoudinia, Fateme Ghasemi, Kimia Haghjooei, Mohammad Meymani, Peyman Paknezhad, Roozbeh Razavi-Far, Saeed Saravani, Somayeh Nikkhoo","cross_cats":["cs.CR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-12T14:41:20Z","title":"Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18821","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:d72acd350a88cc2777921f2b4f9da36a9963476dfdcc71da434903463a8b9a37","target":"record","created_at":"2026-05-20T00:06:24Z","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":"0a1c268b9111b9055304e0e48bf2d19a380bbcad19c89fa2a028e0c09168a2d7","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-12T14:41:20Z","title_canon_sha256":"550d4bf216929e2cc0fe439a95df82a3ba17098574841a53f848eeb5237bc9d5"},"schema_version":"1.0","source":{"id":"2605.18821","kind":"arxiv","version":1}},"canonical_sha256":"12d8e5402073fed0dc500e1e063cd7ae2d4f55bfa9ce44095213ce3ef0d33208","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12d8e5402073fed0dc500e1e063cd7ae2d4f55bfa9ce44095213ce3ef0d33208","first_computed_at":"2026-05-20T00:06:24.360918Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:06:24.360918Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iZqIfcHoXgnY7KYCEtGbI5Ra7X8q/+sASWvy1Baly3nccVF3SlUZA3neD3PuPwrcesOX/tlBFFG0eI+Qw7s4BA==","signature_status":"signed_v1","signed_at":"2026-05-20T00:06:24.361731Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.18821","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d72acd350a88cc2777921f2b4f9da36a9963476dfdcc71da434903463a8b9a37","sha256:3babf57618b4214b8ca9d513ba917cf4cb14504f9d67c8fcfe3c61f508fcee5a","sha256:cc204ffa0eba5fc1420029318af52bd8a61a61426b8b50452a613637f6ec3178"],"state_sha256":"6156cec6d084a471bb03820a296b35eed7553b985722e1b8ca3b4df5993e9e43"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fmnWisf7qS8jJQR/YS+1nIN86X7tC80XepxYK3tF6QnN33Sf4qDghI+pqW9QY1XJsq1DlnZxcNV+bzXO0wFWAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-24T03:50:29.065055Z","bundle_sha256":"2b5c905345991c9c11a233aba69790d5ed87a9d7172f3acf6e4e92ba071c2a81"}}