{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:KUQV46WCCYMOLJDXZNZLELYQPL","short_pith_number":"pith:KUQV46WC","canonical_record":{"source":{"id":"2310.10315","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-10-16T11:52:54Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d07e20a7f78d670e6d5e826326b9a6430e6091247c862b635400d1d00e5f1074","abstract_canon_sha256":"f5655f7f40789e50a4165c5d86748bb7f2e560198588fd1c06f21e7f1c0174a6"},"schema_version":"1.0"},"canonical_sha256":"55215e7ac21618e5a477cb72b22f107afab99de34ae6a5b3eca21680810c875d","source":{"kind":"arxiv","id":"2310.10315","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10315","created_at":"2026-07-05T11:18:57Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10315v4","created_at":"2026-07-05T11:18:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10315","created_at":"2026-07-05T11:18:57Z"},{"alias_kind":"pith_short_12","alias_value":"KUQV46WCCYMO","created_at":"2026-07-05T11:18:57Z"},{"alias_kind":"pith_short_16","alias_value":"KUQV46WCCYMOLJDX","created_at":"2026-07-05T11:18:57Z"},{"alias_kind":"pith_short_8","alias_value":"KUQV46WC","created_at":"2026-07-05T11:18:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:KUQV46WCCYMOLJDXZNZLELYQPL","target":"record","payload":{"canonical_record":{"source":{"id":"2310.10315","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-10-16T11:52:54Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d07e20a7f78d670e6d5e826326b9a6430e6091247c862b635400d1d00e5f1074","abstract_canon_sha256":"f5655f7f40789e50a4165c5d86748bb7f2e560198588fd1c06f21e7f1c0174a6"},"schema_version":"1.0"},"canonical_sha256":"55215e7ac21618e5a477cb72b22f107afab99de34ae6a5b3eca21680810c875d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:18:57.282284Z","signature_b64":"lifJlRfXxyTwTeJJWbjoHx2ly6j2qoaP5fuxdI6pOyD9LJHKepv+y9rUFHD9CSiufLvef0cAmM4piziRW7FvDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"55215e7ac21618e5a477cb72b22f107afab99de34ae6a5b3eca21680810c875d","last_reissued_at":"2026-07-05T11:18:57.281800Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:18:57.281800Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.10315","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:18:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ARx+0mON2x/cSWfCsSqmzRYvhrv6MFvnf7/AZcI13/npxpdUssyhUvS+hpMjy/95fIVfpUfMRUsXvn7dscfLAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T16:02:32.764589Z"},"content_sha256":"6b9bd5329dd5e92e6983347f9f91c4a20f5e1e390e09e5a661a87c36f2127333","schema_version":"1.0","event_id":"sha256:6b9bd5329dd5e92e6983347f9f91c4a20f5e1e390e09e5a661a87c36f2127333"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:KUQV46WCCYMOLJDXZNZLELYQPL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"quant-ph","authors_text":"Alberto Marchisio, Kamila Zaman, Muhammad Abdullah Hanif, Muhammad Shafique","submitted_at":"2023-10-16T11:52:54Z","abstract_excerpt":"Quantum Computing (QC) claims to improve the efficiency of solving complex problems, compared to classical computing. When QC is integrated with Machine Learning (ML), it creates a Quantum Machine Learning (QML) system. This paper aims to provide a thorough understanding of the foundational concepts of QC and its notable advantages over classical computing. Following this, we delve into the key aspects of QML in a detailed and comprehensive manner.\n  In this survey, we investigate a variety of QML algorithms, discussing their applicability across different domains. We examine quantum datasets,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10315","kind":"arxiv","version":4},"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/2310.10315/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":"2026-07-05T11:18:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PSI/ttpdGNclklGtqYZg/BGNcU8D9VmuS5Db1xIPYqH0OUQgcB9+7iRfvrUiin5Dileww1dUkyhTvSU71gbxBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T16:02:32.765128Z"},"content_sha256":"53dc96f4e4c6ee47ad3cdc031a4c53dbbb2a4461e203d35e0b14bbd888eb4534","schema_version":"1.0","event_id":"sha256:53dc96f4e4c6ee47ad3cdc031a4c53dbbb2a4461e203d35e0b14bbd888eb4534"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KUQV46WCCYMOLJDXZNZLELYQPL/bundle.json","state_url":"https://pith.science/pith/KUQV46WCCYMOLJDXZNZLELYQPL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KUQV46WCCYMOLJDXZNZLELYQPL/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":"2026-08-07T16:02:32Z","links":{"resolver":"https://pith.science/pith/KUQV46WCCYMOLJDXZNZLELYQPL","bundle":"https://pith.science/pith/KUQV46WCCYMOLJDXZNZLELYQPL/bundle.json","state":"https://pith.science/pith/KUQV46WCCYMOLJDXZNZLELYQPL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KUQV46WCCYMOLJDXZNZLELYQPL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KUQV46WCCYMOLJDXZNZLELYQPL","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":"f5655f7f40789e50a4165c5d86748bb7f2e560198588fd1c06f21e7f1c0174a6","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-10-16T11:52:54Z","title_canon_sha256":"d07e20a7f78d670e6d5e826326b9a6430e6091247c862b635400d1d00e5f1074"},"schema_version":"1.0","source":{"id":"2310.10315","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10315","created_at":"2026-07-05T11:18:57Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10315v4","created_at":"2026-07-05T11:18:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10315","created_at":"2026-07-05T11:18:57Z"},{"alias_kind":"pith_short_12","alias_value":"KUQV46WCCYMO","created_at":"2026-07-05T11:18:57Z"},{"alias_kind":"pith_short_16","alias_value":"KUQV46WCCYMOLJDX","created_at":"2026-07-05T11:18:57Z"},{"alias_kind":"pith_short_8","alias_value":"KUQV46WC","created_at":"2026-07-05T11:18:57Z"}],"graph_snapshots":[{"event_id":"sha256:53dc96f4e4c6ee47ad3cdc031a4c53dbbb2a4461e203d35e0b14bbd888eb4534","target":"graph","created_at":"2026-07-05T11:18:57Z","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/2310.10315/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantum Computing (QC) claims to improve the efficiency of solving complex problems, compared to classical computing. When QC is integrated with Machine Learning (ML), it creates a Quantum Machine Learning (QML) system. This paper aims to provide a thorough understanding of the foundational concepts of QC and its notable advantages over classical computing. Following this, we delve into the key aspects of QML in a detailed and comprehensive manner.\n  In this survey, we investigate a variety of QML algorithms, discussing their applicability across different domains. We examine quantum datasets,","authors_text":"Alberto Marchisio, Kamila Zaman, Muhammad Abdullah Hanif, Muhammad Shafique","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-10-16T11:52:54Z","title":"A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10315","kind":"arxiv","version":4},"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":"sha256:6b9bd5329dd5e92e6983347f9f91c4a20f5e1e390e09e5a661a87c36f2127333","target":"record","created_at":"2026-07-05T11:18:57Z","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":"f5655f7f40789e50a4165c5d86748bb7f2e560198588fd1c06f21e7f1c0174a6","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-10-16T11:52:54Z","title_canon_sha256":"d07e20a7f78d670e6d5e826326b9a6430e6091247c862b635400d1d00e5f1074"},"schema_version":"1.0","source":{"id":"2310.10315","kind":"arxiv","version":4}},"canonical_sha256":"55215e7ac21618e5a477cb72b22f107afab99de34ae6a5b3eca21680810c875d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"55215e7ac21618e5a477cb72b22f107afab99de34ae6a5b3eca21680810c875d","first_computed_at":"2026-07-05T11:18:57.281800Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:18:57.281800Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lifJlRfXxyTwTeJJWbjoHx2ly6j2qoaP5fuxdI6pOyD9LJHKepv+y9rUFHD9CSiufLvef0cAmM4piziRW7FvDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:18:57.282284Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.10315","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b9bd5329dd5e92e6983347f9f91c4a20f5e1e390e09e5a661a87c36f2127333","sha256:53dc96f4e4c6ee47ad3cdc031a4c53dbbb2a4461e203d35e0b14bbd888eb4534"],"state_sha256":"5cdb8e6abb93e1e0f49c2c21a5c6e7c272e2cce1b3a0090a14474d393bd557c5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tw9CRmFsSFrJY2ajeE2llVlXggmBUitnc6f3tsrGCHv14clysxbW986RQlgkAziUzQ5n+nQGQm5jRwbWZihvBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T16:02:32.780735Z","bundle_sha256":"afb6185f518375a62c12f3ac904ec758711191fd647e0836b655a2da59487485"}}