{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:KDKQZO3EYYY62CRWFM3KECUOUO","short_pith_number":"pith:KDKQZO3E","canonical_record":{"source":{"id":"2206.03066","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-06-07T07:32:57Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"3878f0414b8e61ebccb5666add25a0e3436cde933070f30faad4884849eb98ee","abstract_canon_sha256":"ae00816bf79526bbba768fce0e36934d78ea61071114e707ecc1dec3b8083900"},"schema_version":"1.0"},"canonical_sha256":"50d50cbb64c631ed0a362b36a20a8ea3a0caf7992f61e1e68ac344c3abc9cfa3","source":{"kind":"arxiv","id":"2206.03066","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.03066","created_at":"2026-07-05T04:29:38Z"},{"alias_kind":"arxiv_version","alias_value":"2206.03066v1","created_at":"2026-07-05T04:29:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.03066","created_at":"2026-07-05T04:29:38Z"},{"alias_kind":"pith_short_12","alias_value":"KDKQZO3EYYY6","created_at":"2026-07-05T04:29:38Z"},{"alias_kind":"pith_short_16","alias_value":"KDKQZO3EYYY62CRW","created_at":"2026-07-05T04:29:38Z"},{"alias_kind":"pith_short_8","alias_value":"KDKQZO3E","created_at":"2026-07-05T04:29:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:KDKQZO3EYYY62CRWFM3KECUOUO","target":"record","payload":{"canonical_record":{"source":{"id":"2206.03066","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-06-07T07:32:57Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"3878f0414b8e61ebccb5666add25a0e3436cde933070f30faad4884849eb98ee","abstract_canon_sha256":"ae00816bf79526bbba768fce0e36934d78ea61071114e707ecc1dec3b8083900"},"schema_version":"1.0"},"canonical_sha256":"50d50cbb64c631ed0a362b36a20a8ea3a0caf7992f61e1e68ac344c3abc9cfa3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:29:38.923144Z","signature_b64":"WFtr/M5uVGisS9D26QqYP9z2MqhyaVsJZXaNnS0xk8vCvyxfmppi+Rg3GCL7ch8Lo58yYG1pY4IoA9+SrxX3Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"50d50cbb64c631ed0a362b36a20a8ea3a0caf7992f61e1e68ac344c3abc9cfa3","last_reissued_at":"2026-07-05T04:29:38.922615Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:29:38.922615Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.03066","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":"2026-07-05T04:29:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R0IpY1S8NVskJf3ZD0pHD91lnUrBKX3tV/h6VlQ+hTFAajBv9+9yqMW9z0VsGuSrY7qyQuM6CynC/QP02mt7Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T10:47:10.010550Z"},"content_sha256":"264a98441f97c8fe8033faf1044e9e1f91eee3192abbb7ea156ae56b7dd08a87","schema_version":"1.0","event_id":"sha256:264a98441f97c8fe8033faf1044e9e1f91eee3192abbb7ea156ae56b7dd08a87"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:KDKQZO3EYYY62CRWFM3KECUOUO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Recent Advances for Quantum Neural Networks in Generative Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"quant-ph","authors_text":"Chaoyue Wang, Dacheng Tao, Jinkai Tian, Kaining Zhang, Min-Hsiu Hsieh, Qing Liu, Shanshan Zhao, Tongliang Liu, Wanrong Huang, Wei Yi, Wenjing Yang, Xiaoyu Sun, Xingyao Wu, Yuxuan Du","submitted_at":"2022-06-07T07:32:57Z","abstract_excerpt":"Quantum computers are next-generation devices that hold promise to perform calculations beyond the reach of classical computers. A leading method towards achieving this goal is through quantum machine learning, especially quantum generative learning. Due to the intrinsic probabilistic nature of quantum mechanics, it is reasonable to postulate that quantum generative learning models (QGLMs) may surpass their classical counterparts. As such, QGLMs are receiving growing attention from the quantum physics and computer science communities, where various QGLMs that can be efficiently implemented on "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.03066","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/2206.03066/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":"2026-07-05T04:29:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OSQhBzA0xV2YBz1JSNRXj6Wvy9LLxLrZLSAIde8gd6AAqYlBgsQ+QJvpJCVgv9a/Z6kd0/KK0XWOV5OX+sIRAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T10:47:10.011501Z"},"content_sha256":"56a59248dd9666eb67c8e3f98c37c0ba3105d26ff3e820b8b10c724fbf6bb912","schema_version":"1.0","event_id":"sha256:56a59248dd9666eb67c8e3f98c37c0ba3105d26ff3e820b8b10c724fbf6bb912"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KDKQZO3EYYY62CRWFM3KECUOUO/bundle.json","state_url":"https://pith.science/pith/KDKQZO3EYYY62CRWFM3KECUOUO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KDKQZO3EYYY62CRWFM3KECUOUO/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":"2026-08-13T10:47:10Z","links":{"resolver":"https://pith.science/pith/KDKQZO3EYYY62CRWFM3KECUOUO","bundle":"https://pith.science/pith/KDKQZO3EYYY62CRWFM3KECUOUO/bundle.json","state":"https://pith.science/pith/KDKQZO3EYYY62CRWFM3KECUOUO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KDKQZO3EYYY62CRWFM3KECUOUO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:KDKQZO3EYYY62CRWFM3KECUOUO","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":"ae00816bf79526bbba768fce0e36934d78ea61071114e707ecc1dec3b8083900","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-06-07T07:32:57Z","title_canon_sha256":"3878f0414b8e61ebccb5666add25a0e3436cde933070f30faad4884849eb98ee"},"schema_version":"1.0","source":{"id":"2206.03066","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.03066","created_at":"2026-07-05T04:29:38Z"},{"alias_kind":"arxiv_version","alias_value":"2206.03066v1","created_at":"2026-07-05T04:29:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.03066","created_at":"2026-07-05T04:29:38Z"},{"alias_kind":"pith_short_12","alias_value":"KDKQZO3EYYY6","created_at":"2026-07-05T04:29:38Z"},{"alias_kind":"pith_short_16","alias_value":"KDKQZO3EYYY62CRW","created_at":"2026-07-05T04:29:38Z"},{"alias_kind":"pith_short_8","alias_value":"KDKQZO3E","created_at":"2026-07-05T04:29:38Z"}],"graph_snapshots":[{"event_id":"sha256:56a59248dd9666eb67c8e3f98c37c0ba3105d26ff3e820b8b10c724fbf6bb912","target":"graph","created_at":"2026-07-05T04:29:38Z","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/2206.03066/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantum computers are next-generation devices that hold promise to perform calculations beyond the reach of classical computers. A leading method towards achieving this goal is through quantum machine learning, especially quantum generative learning. Due to the intrinsic probabilistic nature of quantum mechanics, it is reasonable to postulate that quantum generative learning models (QGLMs) may surpass their classical counterparts. As such, QGLMs are receiving growing attention from the quantum physics and computer science communities, where various QGLMs that can be efficiently implemented on ","authors_text":"Chaoyue Wang, Dacheng Tao, Jinkai Tian, Kaining Zhang, Min-Hsiu Hsieh, Qing Liu, Shanshan Zhao, Tongliang Liu, Wanrong Huang, Wei Yi, Wenjing Yang, Xiaoyu Sun, Xingyao Wu, Yuxuan Du","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-06-07T07:32:57Z","title":"Recent Advances for Quantum Neural Networks in Generative Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.03066","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":"sha256:264a98441f97c8fe8033faf1044e9e1f91eee3192abbb7ea156ae56b7dd08a87","target":"record","created_at":"2026-07-05T04:29:38Z","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":"ae00816bf79526bbba768fce0e36934d78ea61071114e707ecc1dec3b8083900","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-06-07T07:32:57Z","title_canon_sha256":"3878f0414b8e61ebccb5666add25a0e3436cde933070f30faad4884849eb98ee"},"schema_version":"1.0","source":{"id":"2206.03066","kind":"arxiv","version":1}},"canonical_sha256":"50d50cbb64c631ed0a362b36a20a8ea3a0caf7992f61e1e68ac344c3abc9cfa3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50d50cbb64c631ed0a362b36a20a8ea3a0caf7992f61e1e68ac344c3abc9cfa3","first_computed_at":"2026-07-05T04:29:38.922615Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:29:38.922615Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WFtr/M5uVGisS9D26QqYP9z2MqhyaVsJZXaNnS0xk8vCvyxfmppi+Rg3GCL7ch8Lo58yYG1pY4IoA9+SrxX3Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:29:38.923144Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.03066","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:264a98441f97c8fe8033faf1044e9e1f91eee3192abbb7ea156ae56b7dd08a87","sha256:56a59248dd9666eb67c8e3f98c37c0ba3105d26ff3e820b8b10c724fbf6bb912"],"state_sha256":"95a1eb509d43ed01524ec5a6ceb2e4ea4dde7bb4a69cb69b237d2fc0048c79c3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3HPiuGCZmcq+wBdS6YMrK8WWEd46k72bcm42FB218ZszHGvO1qTdyOpm/TxM5Dy05gleL/qJuOA/ZoIOv7t0Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T10:47:10.070004Z","bundle_sha256":"44bb03cca4a62c8c286faf34e5d2f4a1e33ce2044593fd4038b83b12ddbe5f66"}}