{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6JT5GEMK65CTYOTQRLCDT5MXDM","short_pith_number":"pith:6JT5GEMK","canonical_record":{"source":{"id":"2507.06585","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-07-09T06:33:43Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"cc086986b24c2cac5e3ba22b55a180d1505819410ef796c414f6ea2b22059c76","abstract_canon_sha256":"6376f1448b311897951468feac7237a4c8c585da21699d773727e9822d4abeac"},"schema_version":"1.0"},"canonical_sha256":"f267d3118af7453c3a708ac439f5971b3a33358d42ed0371707c3e74fbe1a505","source":{"kind":"arxiv","id":"2507.06585","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.06585","created_at":"2026-07-05T11:34:18Z"},{"alias_kind":"arxiv_version","alias_value":"2507.06585v1","created_at":"2026-07-05T11:34:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.06585","created_at":"2026-07-05T11:34:18Z"},{"alias_kind":"pith_short_12","alias_value":"6JT5GEMK65CT","created_at":"2026-07-05T11:34:18Z"},{"alias_kind":"pith_short_16","alias_value":"6JT5GEMK65CTYOTQ","created_at":"2026-07-05T11:34:18Z"},{"alias_kind":"pith_short_8","alias_value":"6JT5GEMK","created_at":"2026-07-05T11:34:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6JT5GEMK65CTYOTQRLCDT5MXDM","target":"record","payload":{"canonical_record":{"source":{"id":"2507.06585","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-07-09T06:33:43Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"cc086986b24c2cac5e3ba22b55a180d1505819410ef796c414f6ea2b22059c76","abstract_canon_sha256":"6376f1448b311897951468feac7237a4c8c585da21699d773727e9822d4abeac"},"schema_version":"1.0"},"canonical_sha256":"f267d3118af7453c3a708ac439f5971b3a33358d42ed0371707c3e74fbe1a505","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:34:18.929745Z","signature_b64":"P+ZwDi2wr9jmVuDoB7R0/8yTXl/h73kgxXZqKBtJ6Bq6csDUNs6Iw78KfbtHu4/wX8cipqCX9MFpbN4ll+VOAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f267d3118af7453c3a708ac439f5971b3a33358d42ed0371707c3e74fbe1a505","last_reissued_at":"2026-07-05T11:34:18.929186Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:34:18.929186Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.06585","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":"2026-07-05T11:34:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xZXD0tbFjEI/3Z+GzNNfAZzusQ4EdKw5BduvO4xFe0XZtGvVH01onyyiEq6h6oXs3FkClTCrcqEL6ihZdrIYCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T00:29:07.046601Z"},"content_sha256":"12dd8341cbfd2e9d6dd113e17b3f5ed030310da0e30e3e0d62cfd2e5d0fd3685","schema_version":"1.0","event_id":"sha256:12dd8341cbfd2e9d6dd113e17b3f5ed030310da0e30e3e0d62cfd2e5d0fd3685"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6JT5GEMK65CTYOTQRLCDT5MXDM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hybrid Quantum Convolutional Neural Network-Aided Pilot Assignment in Cell-Free Massive MIMO Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP","math.IT"],"primary_cat":"cs.IT","authors_text":"Doan Hieu Nguyen, Lajos Hanzo, Seon-Geun Jeong, Trinh Van Chien, Won Joo Hwang, Xuan Tung Nguyen","submitted_at":"2025-07-09T06:33:43Z","abstract_excerpt":"A sophisticated hybrid quantum convolutional neural network (HQCNN) is conceived for handling the pilot assignment task in cell-free massive MIMO systems, while maximizing the total ergodic sum throughput. The existing model-based solutions found in the literature are inefficient and/or computationally demanding. Similarly, conventional deep neural networks may struggle in the face of high-dimensional inputs, require complex architectures, and their convergence is slow due to training numerous hyperparameters. The proposed HQCNN leverages parameterized quantum circuits (PQCs) relying on superp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.06585","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/2507.06585/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":"2026-07-05T11:34:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6No1oxUKU4LWNUsYyHVIKMvFp2t92UcVAoS4ZhWz+RfdRFc+uUkWuhi/G+C/I+4BbiBHOVpkuiH82r2M2kKdDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T00:29:07.047416Z"},"content_sha256":"1b0b2c55860bbf64937357a7a93491b4eceb9a36a71533746e00e61700e70698","schema_version":"1.0","event_id":"sha256:1b0b2c55860bbf64937357a7a93491b4eceb9a36a71533746e00e61700e70698"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6JT5GEMK65CTYOTQRLCDT5MXDM/bundle.json","state_url":"https://pith.science/pith/6JT5GEMK65CTYOTQRLCDT5MXDM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6JT5GEMK65CTYOTQRLCDT5MXDM/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":"2026-08-05T00:29:07Z","links":{"resolver":"https://pith.science/pith/6JT5GEMK65CTYOTQRLCDT5MXDM","bundle":"https://pith.science/pith/6JT5GEMK65CTYOTQRLCDT5MXDM/bundle.json","state":"https://pith.science/pith/6JT5GEMK65CTYOTQRLCDT5MXDM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6JT5GEMK65CTYOTQRLCDT5MXDM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6JT5GEMK65CTYOTQRLCDT5MXDM","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":"6376f1448b311897951468feac7237a4c8c585da21699d773727e9822d4abeac","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-07-09T06:33:43Z","title_canon_sha256":"cc086986b24c2cac5e3ba22b55a180d1505819410ef796c414f6ea2b22059c76"},"schema_version":"1.0","source":{"id":"2507.06585","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.06585","created_at":"2026-07-05T11:34:18Z"},{"alias_kind":"arxiv_version","alias_value":"2507.06585v1","created_at":"2026-07-05T11:34:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.06585","created_at":"2026-07-05T11:34:18Z"},{"alias_kind":"pith_short_12","alias_value":"6JT5GEMK65CT","created_at":"2026-07-05T11:34:18Z"},{"alias_kind":"pith_short_16","alias_value":"6JT5GEMK65CTYOTQ","created_at":"2026-07-05T11:34:18Z"},{"alias_kind":"pith_short_8","alias_value":"6JT5GEMK","created_at":"2026-07-05T11:34:18Z"}],"graph_snapshots":[{"event_id":"sha256:1b0b2c55860bbf64937357a7a93491b4eceb9a36a71533746e00e61700e70698","target":"graph","created_at":"2026-07-05T11:34:18Z","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/2507.06585/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A sophisticated hybrid quantum convolutional neural network (HQCNN) is conceived for handling the pilot assignment task in cell-free massive MIMO systems, while maximizing the total ergodic sum throughput. The existing model-based solutions found in the literature are inefficient and/or computationally demanding. Similarly, conventional deep neural networks may struggle in the face of high-dimensional inputs, require complex architectures, and their convergence is slow due to training numerous hyperparameters. The proposed HQCNN leverages parameterized quantum circuits (PQCs) relying on superp","authors_text":"Doan Hieu Nguyen, Lajos Hanzo, Seon-Geun Jeong, Trinh Van Chien, Won Joo Hwang, Xuan Tung Nguyen","cross_cats":["eess.SP","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-07-09T06:33:43Z","title":"Hybrid Quantum Convolutional Neural Network-Aided Pilot Assignment in Cell-Free Massive MIMO Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.06585","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":"sha256:12dd8341cbfd2e9d6dd113e17b3f5ed030310da0e30e3e0d62cfd2e5d0fd3685","target":"record","created_at":"2026-07-05T11:34:18Z","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":"6376f1448b311897951468feac7237a4c8c585da21699d773727e9822d4abeac","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-07-09T06:33:43Z","title_canon_sha256":"cc086986b24c2cac5e3ba22b55a180d1505819410ef796c414f6ea2b22059c76"},"schema_version":"1.0","source":{"id":"2507.06585","kind":"arxiv","version":1}},"canonical_sha256":"f267d3118af7453c3a708ac439f5971b3a33358d42ed0371707c3e74fbe1a505","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f267d3118af7453c3a708ac439f5971b3a33358d42ed0371707c3e74fbe1a505","first_computed_at":"2026-07-05T11:34:18.929186Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:34:18.929186Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P+ZwDi2wr9jmVuDoB7R0/8yTXl/h73kgxXZqKBtJ6Bq6csDUNs6Iw78KfbtHu4/wX8cipqCX9MFpbN4ll+VOAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:34:18.929745Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.06585","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:12dd8341cbfd2e9d6dd113e17b3f5ed030310da0e30e3e0d62cfd2e5d0fd3685","sha256:1b0b2c55860bbf64937357a7a93491b4eceb9a36a71533746e00e61700e70698"],"state_sha256":"924e627422af73e1a803f0fcbe3e85670e5b7ac85f9e64e254ae3c0853272237"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2OzrtiCUoREK0Ugyni8sgfTISDQdTgj20n8UUUEf5Ja2/jJ6/d4UKFP+Fxe4RGt0YLWEFot2rw0xy66jmAXWCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T00:29:07.088555Z","bundle_sha256":"d83683a977285a7a45fe65960bcafce4f6cd0577077d230bb6308c5439a8fa40"}}