{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:BI5KMJW6DUKXBVAOFZ3TI4C2CD","short_pith_number":"pith:BI5KMJW6","canonical_record":{"source":{"id":"2204.12390","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2022-04-26T15:47:19Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a1f6cde5958a27d6e70a082c02213a3b00aad3970838173a0e2659df945e75ad","abstract_canon_sha256":"85787593050eed39f00c644b8d8858f41ac0179ab3e952ced395582817d91066"},"schema_version":"1.0"},"canonical_sha256":"0a3aa626de1d1570d40e2e7734705a10d437ed55fd817d466116be0d48af9214","source":{"kind":"arxiv","id":"2204.12390","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.12390","created_at":"2026-07-05T04:47:58Z"},{"alias_kind":"arxiv_version","alias_value":"2204.12390v2","created_at":"2026-07-05T04:47:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.12390","created_at":"2026-07-05T04:47:58Z"},{"alias_kind":"pith_short_12","alias_value":"BI5KMJW6DUKX","created_at":"2026-07-05T04:47:58Z"},{"alias_kind":"pith_short_16","alias_value":"BI5KMJW6DUKXBVAO","created_at":"2026-07-05T04:47:58Z"},{"alias_kind":"pith_short_8","alias_value":"BI5KMJW6","created_at":"2026-07-05T04:47:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:BI5KMJW6DUKXBVAOFZ3TI4C2CD","target":"record","payload":{"canonical_record":{"source":{"id":"2204.12390","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2022-04-26T15:47:19Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a1f6cde5958a27d6e70a082c02213a3b00aad3970838173a0e2659df945e75ad","abstract_canon_sha256":"85787593050eed39f00c644b8d8858f41ac0179ab3e952ced395582817d91066"},"schema_version":"1.0"},"canonical_sha256":"0a3aa626de1d1570d40e2e7734705a10d437ed55fd817d466116be0d48af9214","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:47:58.037749Z","signature_b64":"902O8SJp6irkcZUZ+RIEdzPzW7HFtGtBDl15FdffgD5J3dLI1FqUcOoi43aKXNnD403dMEwxubBb2HqICpHHDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0a3aa626de1d1570d40e2e7734705a10d437ed55fd817d466116be0d48af9214","last_reissued_at":"2026-07-05T04:47:58.037232Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:47:58.037232Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.12390","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":"2026-07-05T04:47:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2S9ZT6D3ND6GfsnkO77AbR02m+lRoF4YxO9+RqezGoT6VZk/CDeRq0BnQxJYqHw1zTlWVHPgkaMvbfrGWqADBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:13:04.511085Z"},"content_sha256":"5c2ef8e752f17612d4843249133caefd53432a2373e1bada304aafff5f7f63a3","schema_version":"1.0","event_id":"sha256:5c2ef8e752f17612d4843249133caefd53432a2373e1bada304aafff5f7f63a3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:BI5KMJW6DUKXBVAOFZ3TI4C2CD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantum-classical convolutional neural networks in radiological image classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"quant-ph","authors_text":"Andrea Matic, Balthasar Schachtner, Jeanette Miriam Lorenz, Maureen Monnet, Thomas Messerer","submitted_at":"2022-04-26T15:47:19Z","abstract_excerpt":"Quantum machine learning is receiving significant attention currently, but its usefulness in comparison to classical machine learning techniques for practical applications remains unclear. However, there are indications that certain quantum machine learning algorithms might result in improved training capabilities with respect to their classical counterparts -- which might be particularly beneficial in situations with little training data available. Such situations naturally arise in medical classification tasks. Within this paper, different hybrid quantum-classical convolutional neural networ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.12390","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/2204.12390/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":"2026-07-05T04:47:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zM64lUUIkqx9gSeshazC34nu0IxAfq4aU7aAlPYCaIYwwNmx3zezpCDi0exbxJA4GFDJHyUTNRqNMNGwmk3RBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:13:04.511476Z"},"content_sha256":"8bc0446085c9af5f23d5bfcfb46d731b391e11b546a5443a7a9219dd45961129","schema_version":"1.0","event_id":"sha256:8bc0446085c9af5f23d5bfcfb46d731b391e11b546a5443a7a9219dd45961129"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BI5KMJW6DUKXBVAOFZ3TI4C2CD/bundle.json","state_url":"https://pith.science/pith/BI5KMJW6DUKXBVAOFZ3TI4C2CD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BI5KMJW6DUKXBVAOFZ3TI4C2CD/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":"2026-07-07T11:13:04Z","links":{"resolver":"https://pith.science/pith/BI5KMJW6DUKXBVAOFZ3TI4C2CD","bundle":"https://pith.science/pith/BI5KMJW6DUKXBVAOFZ3TI4C2CD/bundle.json","state":"https://pith.science/pith/BI5KMJW6DUKXBVAOFZ3TI4C2CD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BI5KMJW6DUKXBVAOFZ3TI4C2CD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:BI5KMJW6DUKXBVAOFZ3TI4C2CD","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":"85787593050eed39f00c644b8d8858f41ac0179ab3e952ced395582817d91066","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2022-04-26T15:47:19Z","title_canon_sha256":"a1f6cde5958a27d6e70a082c02213a3b00aad3970838173a0e2659df945e75ad"},"schema_version":"1.0","source":{"id":"2204.12390","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.12390","created_at":"2026-07-05T04:47:58Z"},{"alias_kind":"arxiv_version","alias_value":"2204.12390v2","created_at":"2026-07-05T04:47:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.12390","created_at":"2026-07-05T04:47:58Z"},{"alias_kind":"pith_short_12","alias_value":"BI5KMJW6DUKX","created_at":"2026-07-05T04:47:58Z"},{"alias_kind":"pith_short_16","alias_value":"BI5KMJW6DUKXBVAO","created_at":"2026-07-05T04:47:58Z"},{"alias_kind":"pith_short_8","alias_value":"BI5KMJW6","created_at":"2026-07-05T04:47:58Z"}],"graph_snapshots":[{"event_id":"sha256:8bc0446085c9af5f23d5bfcfb46d731b391e11b546a5443a7a9219dd45961129","target":"graph","created_at":"2026-07-05T04:47:58Z","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/2204.12390/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantum machine learning is receiving significant attention currently, but its usefulness in comparison to classical machine learning techniques for practical applications remains unclear. However, there are indications that certain quantum machine learning algorithms might result in improved training capabilities with respect to their classical counterparts -- which might be particularly beneficial in situations with little training data available. Such situations naturally arise in medical classification tasks. Within this paper, different hybrid quantum-classical convolutional neural networ","authors_text":"Andrea Matic, Balthasar Schachtner, Jeanette Miriam Lorenz, Maureen Monnet, Thomas Messerer","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2022-04-26T15:47:19Z","title":"Quantum-classical convolutional neural networks in radiological image classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.12390","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":"sha256:5c2ef8e752f17612d4843249133caefd53432a2373e1bada304aafff5f7f63a3","target":"record","created_at":"2026-07-05T04:47:58Z","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":"85787593050eed39f00c644b8d8858f41ac0179ab3e952ced395582817d91066","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2022-04-26T15:47:19Z","title_canon_sha256":"a1f6cde5958a27d6e70a082c02213a3b00aad3970838173a0e2659df945e75ad"},"schema_version":"1.0","source":{"id":"2204.12390","kind":"arxiv","version":2}},"canonical_sha256":"0a3aa626de1d1570d40e2e7734705a10d437ed55fd817d466116be0d48af9214","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0a3aa626de1d1570d40e2e7734705a10d437ed55fd817d466116be0d48af9214","first_computed_at":"2026-07-05T04:47:58.037232Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:47:58.037232Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"902O8SJp6irkcZUZ+RIEdzPzW7HFtGtBDl15FdffgD5J3dLI1FqUcOoi43aKXNnD403dMEwxubBb2HqICpHHDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:47:58.037749Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.12390","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5c2ef8e752f17612d4843249133caefd53432a2373e1bada304aafff5f7f63a3","sha256:8bc0446085c9af5f23d5bfcfb46d731b391e11b546a5443a7a9219dd45961129"],"state_sha256":"deaec088b0987da79d9faf59cfb62cecece8a2bb99aed9e4a0f1531dfb18db1c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sL79lRY0mAh7vJ2Pkl/LpAq7xBX+SNbpvv9aW21fV0pacYIAOZeuMjgVFuGsi45rw9g6L/sx7NkVUlPz0671Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:13:04.513573Z","bundle_sha256":"2462ef1b5a660ccb7768af18df7c9db42b2b27879d43b673ea03044950da83cb"}}