{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:5C42CXTUJN6VH3NASZJ5H3KYBT","short_pith_number":"pith:5C42CXTU","canonical_record":{"source":{"id":"2504.04235","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-04-05T17:25:26Z","cross_cats_sorted":[],"title_canon_sha256":"8e02f60768af703abffa560936910b1e64f7026ef9e111484e0eb0583a81f307","abstract_canon_sha256":"623f8f275c9c633ae793dd89a49735cac3b807bbfac2346947b609a0a92d432e"},"schema_version":"1.0"},"canonical_sha256":"e8b9a15e744b7d53eda09653d3ed580ceedd1697278c2d5a5e585c0a4b7845a4","source":{"kind":"arxiv","id":"2504.04235","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.04235","created_at":"2026-07-05T10:44:56Z"},{"alias_kind":"arxiv_version","alias_value":"2504.04235v1","created_at":"2026-07-05T10:44:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.04235","created_at":"2026-07-05T10:44:56Z"},{"alias_kind":"pith_short_12","alias_value":"5C42CXTUJN6V","created_at":"2026-07-05T10:44:56Z"},{"alias_kind":"pith_short_16","alias_value":"5C42CXTUJN6VH3NA","created_at":"2026-07-05T10:44:56Z"},{"alias_kind":"pith_short_8","alias_value":"5C42CXTU","created_at":"2026-07-05T10:44:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:5C42CXTUJN6VH3NASZJ5H3KYBT","target":"record","payload":{"canonical_record":{"source":{"id":"2504.04235","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-04-05T17:25:26Z","cross_cats_sorted":[],"title_canon_sha256":"8e02f60768af703abffa560936910b1e64f7026ef9e111484e0eb0583a81f307","abstract_canon_sha256":"623f8f275c9c633ae793dd89a49735cac3b807bbfac2346947b609a0a92d432e"},"schema_version":"1.0"},"canonical_sha256":"e8b9a15e744b7d53eda09653d3ed580ceedd1697278c2d5a5e585c0a4b7845a4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:44:56.311609Z","signature_b64":"2q1/mQ/yUWOChEmGgCSUl4NjFRCCf8YqRUYxixJifYNBuqFUP0bLsBVzuvYpwWrWDbJitEVmYgv/Ig8+zLXUDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e8b9a15e744b7d53eda09653d3ed580ceedd1697278c2d5a5e585c0a4b7845a4","last_reissued_at":"2026-07-05T10:44:56.311113Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:44:56.311113Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.04235","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":"2026-07-05T10:44:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v4hehvolnxOQMMS63nNGXe+u2d1SIKeGKoswjK0Q/kHHkuGZe88sPGkfNM0S9XuQ6uGFu+LVNnU1Rdu2kyDxBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T05:12:30.834247Z"},"content_sha256":"8dc09f51723898ddd50d85a4d8004fc83b9211984395aa161406a2809a46a64a","schema_version":"1.0","event_id":"sha256:8dc09f51723898ddd50d85a4d8004fc83b9211984395aa161406a2809a46a64a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:5C42CXTUJN6VH3NASZJ5H3KYBT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantum parallel information exchange (QPIE) hybrid network with transfer learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Alex Khan, Shabnam Jabeen, Victor S. Sheng, Ziqing Guo, Ziwen Pan","submitted_at":"2025-04-05T17:25:26Z","abstract_excerpt":"Quantum machine learning (QML) has emerged as an innovative framework with the potential to uncover complex patterns by leveraging quantum systems ability to simulate and exploit high-dimensional latent spaces, particularly in learning tasks. Quantum neural network (QNN) frameworks are inherently sensitive to the precision of gradient calculations and the computational limitations of current quantum hardware as unitary rotations introduce overhead from complex number computations, and the quantum gate operation speed remains a bottleneck for practical implementations. In this study, we introdu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.04235","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/2504.04235/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":"2026-07-05T10:44:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CD/SpqIxGprQgq74en1t4ecwOxyQ0qt2Dydc+Wxj+IPPT05ZZRogNipZN/+9EZcw+KI8XlxNtfa5MLz4ZLYoBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T05:12:30.834828Z"},"content_sha256":"96b0522583aa167150e70dacfafaf66ed64e439d575e875ef5817aa229d917e1","schema_version":"1.0","event_id":"sha256:96b0522583aa167150e70dacfafaf66ed64e439d575e875ef5817aa229d917e1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5C42CXTUJN6VH3NASZJ5H3KYBT/bundle.json","state_url":"https://pith.science/pith/5C42CXTUJN6VH3NASZJ5H3KYBT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5C42CXTUJN6VH3NASZJ5H3KYBT/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":"2026-08-07T05:12:30Z","links":{"resolver":"https://pith.science/pith/5C42CXTUJN6VH3NASZJ5H3KYBT","bundle":"https://pith.science/pith/5C42CXTUJN6VH3NASZJ5H3KYBT/bundle.json","state":"https://pith.science/pith/5C42CXTUJN6VH3NASZJ5H3KYBT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5C42CXTUJN6VH3NASZJ5H3KYBT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5C42CXTUJN6VH3NASZJ5H3KYBT","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":"623f8f275c9c633ae793dd89a49735cac3b807bbfac2346947b609a0a92d432e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-04-05T17:25:26Z","title_canon_sha256":"8e02f60768af703abffa560936910b1e64f7026ef9e111484e0eb0583a81f307"},"schema_version":"1.0","source":{"id":"2504.04235","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.04235","created_at":"2026-07-05T10:44:56Z"},{"alias_kind":"arxiv_version","alias_value":"2504.04235v1","created_at":"2026-07-05T10:44:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.04235","created_at":"2026-07-05T10:44:56Z"},{"alias_kind":"pith_short_12","alias_value":"5C42CXTUJN6V","created_at":"2026-07-05T10:44:56Z"},{"alias_kind":"pith_short_16","alias_value":"5C42CXTUJN6VH3NA","created_at":"2026-07-05T10:44:56Z"},{"alias_kind":"pith_short_8","alias_value":"5C42CXTU","created_at":"2026-07-05T10:44:56Z"}],"graph_snapshots":[{"event_id":"sha256:96b0522583aa167150e70dacfafaf66ed64e439d575e875ef5817aa229d917e1","target":"graph","created_at":"2026-07-05T10:44:56Z","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/2504.04235/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantum machine learning (QML) has emerged as an innovative framework with the potential to uncover complex patterns by leveraging quantum systems ability to simulate and exploit high-dimensional latent spaces, particularly in learning tasks. Quantum neural network (QNN) frameworks are inherently sensitive to the precision of gradient calculations and the computational limitations of current quantum hardware as unitary rotations introduce overhead from complex number computations, and the quantum gate operation speed remains a bottleneck for practical implementations. In this study, we introdu","authors_text":"Alex Khan, Shabnam Jabeen, Victor S. Sheng, Ziqing Guo, Ziwen Pan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-04-05T17:25:26Z","title":"Quantum parallel information exchange (QPIE) hybrid network with transfer learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.04235","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":"sha256:8dc09f51723898ddd50d85a4d8004fc83b9211984395aa161406a2809a46a64a","target":"record","created_at":"2026-07-05T10:44:56Z","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":"623f8f275c9c633ae793dd89a49735cac3b807bbfac2346947b609a0a92d432e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-04-05T17:25:26Z","title_canon_sha256":"8e02f60768af703abffa560936910b1e64f7026ef9e111484e0eb0583a81f307"},"schema_version":"1.0","source":{"id":"2504.04235","kind":"arxiv","version":1}},"canonical_sha256":"e8b9a15e744b7d53eda09653d3ed580ceedd1697278c2d5a5e585c0a4b7845a4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e8b9a15e744b7d53eda09653d3ed580ceedd1697278c2d5a5e585c0a4b7845a4","first_computed_at":"2026-07-05T10:44:56.311113Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:44:56.311113Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2q1/mQ/yUWOChEmGgCSUl4NjFRCCf8YqRUYxixJifYNBuqFUP0bLsBVzuvYpwWrWDbJitEVmYgv/Ig8+zLXUDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:44:56.311609Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.04235","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8dc09f51723898ddd50d85a4d8004fc83b9211984395aa161406a2809a46a64a","sha256:96b0522583aa167150e70dacfafaf66ed64e439d575e875ef5817aa229d917e1"],"state_sha256":"a80063652d92db99df997eaa2b4595dfb646e2c7b20156c49982ff994f2f9f30"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"87U6pka8dyAWM66iqRKcrdywV6a89FBAe3ZPv4z2Y3p0AlEsIzE++9CDgar6tFBTT508SM9MRoguOTXemNSaBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T05:12:30.838891Z","bundle_sha256":"fc240d200a59698b4ddd2a25241f5359ea6a5f47351463f77eea6ab3388385c9"}}