{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:F6TYRYVQPVXMLFHYONZPLOYQZY","short_pith_number":"pith:F6TYRYVQ","canonical_record":{"source":{"id":"2006.15265","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-06-27T02:52:34Z","cross_cats_sorted":[],"title_canon_sha256":"b3ec2a880dde4a6a70685835ba6963a191c836a9c9e9cbc545020d6e6a15c217","abstract_canon_sha256":"31f5603b2d528d3e89072d08cfb2772c639e04cb114b33a936c17aa42fd16cfd"},"schema_version":"1.0"},"canonical_sha256":"2fa788e2b07d6ec594f87372f5bb10ce2cec3bf7080674e287784889a28ed07b","source":{"kind":"arxiv","id":"2006.15265","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.15265","created_at":"2026-07-05T01:14:03Z"},{"alias_kind":"arxiv_version","alias_value":"2006.15265v1","created_at":"2026-07-05T01:14:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.15265","created_at":"2026-07-05T01:14:03Z"},{"alias_kind":"pith_short_12","alias_value":"F6TYRYVQPVXM","created_at":"2026-07-05T01:14:03Z"},{"alias_kind":"pith_short_16","alias_value":"F6TYRYVQPVXMLFHY","created_at":"2026-07-05T01:14:03Z"},{"alias_kind":"pith_short_8","alias_value":"F6TYRYVQ","created_at":"2026-07-05T01:14:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:F6TYRYVQPVXMLFHYONZPLOYQZY","target":"record","payload":{"canonical_record":{"source":{"id":"2006.15265","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-06-27T02:52:34Z","cross_cats_sorted":[],"title_canon_sha256":"b3ec2a880dde4a6a70685835ba6963a191c836a9c9e9cbc545020d6e6a15c217","abstract_canon_sha256":"31f5603b2d528d3e89072d08cfb2772c639e04cb114b33a936c17aa42fd16cfd"},"schema_version":"1.0"},"canonical_sha256":"2fa788e2b07d6ec594f87372f5bb10ce2cec3bf7080674e287784889a28ed07b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:14:03.884723Z","signature_b64":"ihbhbSg8OLpo6W0SPmF8o2pu62nSHibqUPtYdphmXcwXH2slKhPk90tg7XE+fNLRVlmoKXaDLtpu/9cBF2CpDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2fa788e2b07d6ec594f87372f5bb10ce2cec3bf7080674e287784889a28ed07b","last_reissued_at":"2026-07-05T01:14:03.884312Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:14:03.884312Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.15265","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":"2026-07-05T01:14:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CmVFQqGvUEK+tcXFOboNaFUjZeuzTJj3DRfHX/U+NFVMyggc7KI8Ecg0PsMokcmKlFF27F3HL/leVSy7SkknCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T12:25:40.022139Z"},"content_sha256":"d6b239e4897545073f852671f0a19ed5b3e41e145eb538cf4d30a4c1f24e2e73","schema_version":"1.0","event_id":"sha256:d6b239e4897545073f852671f0a19ed5b3e41e145eb538cf4d30a4c1f24e2e73"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:F6TYRYVQPVXMLFHYONZPLOYQZY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Model-Driven Deep Learning for Massive Multiuser MIMO Constant Envelope Precoding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Chao-Kai Wen, He, Hengtao, Shi Jin, Yunfeng He","submitted_at":"2020-06-27T02:52:34Z","abstract_excerpt":"Constant envelope (CE) precoding design is of great interest for massive multiuser multi-input multi-output systems because it can significantly reduce hardware cost and power consumption. However, existing CE precoding algorithms are hindered by excessive computational overhead. In this letter, a novel model-driven deep learning (DL)-based network that combines DL with conjugate gradient algorithm is proposed for CE precoding. Specifically, the original iterative algorithm is unfolded and parameterized by trainable variables. With the proposed architecture, the variables can be learned effici"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.15265","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/2006.15265/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":"2026-07-05T01:14:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vZzZxvk+Gfe74EWMfjZJYi3sWLSp1ibXXNDO+T+4aWprWrOUBXIun4j5QNz2ThF746aqXfrAAcdSir0PP+R/CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T12:25:40.022536Z"},"content_sha256":"36435cf6c05043063264df714dd06426ce340c08328e9655b919deb1bb11b8be","schema_version":"1.0","event_id":"sha256:36435cf6c05043063264df714dd06426ce340c08328e9655b919deb1bb11b8be"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F6TYRYVQPVXMLFHYONZPLOYQZY/bundle.json","state_url":"https://pith.science/pith/F6TYRYVQPVXMLFHYONZPLOYQZY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F6TYRYVQPVXMLFHYONZPLOYQZY/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":"2026-07-08T12:25:40Z","links":{"resolver":"https://pith.science/pith/F6TYRYVQPVXMLFHYONZPLOYQZY","bundle":"https://pith.science/pith/F6TYRYVQPVXMLFHYONZPLOYQZY/bundle.json","state":"https://pith.science/pith/F6TYRYVQPVXMLFHYONZPLOYQZY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F6TYRYVQPVXMLFHYONZPLOYQZY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:F6TYRYVQPVXMLFHYONZPLOYQZY","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":"31f5603b2d528d3e89072d08cfb2772c639e04cb114b33a936c17aa42fd16cfd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-06-27T02:52:34Z","title_canon_sha256":"b3ec2a880dde4a6a70685835ba6963a191c836a9c9e9cbc545020d6e6a15c217"},"schema_version":"1.0","source":{"id":"2006.15265","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.15265","created_at":"2026-07-05T01:14:03Z"},{"alias_kind":"arxiv_version","alias_value":"2006.15265v1","created_at":"2026-07-05T01:14:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.15265","created_at":"2026-07-05T01:14:03Z"},{"alias_kind":"pith_short_12","alias_value":"F6TYRYVQPVXM","created_at":"2026-07-05T01:14:03Z"},{"alias_kind":"pith_short_16","alias_value":"F6TYRYVQPVXMLFHY","created_at":"2026-07-05T01:14:03Z"},{"alias_kind":"pith_short_8","alias_value":"F6TYRYVQ","created_at":"2026-07-05T01:14:03Z"}],"graph_snapshots":[{"event_id":"sha256:36435cf6c05043063264df714dd06426ce340c08328e9655b919deb1bb11b8be","target":"graph","created_at":"2026-07-05T01:14:03Z","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/2006.15265/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Constant envelope (CE) precoding design is of great interest for massive multiuser multi-input multi-output systems because it can significantly reduce hardware cost and power consumption. However, existing CE precoding algorithms are hindered by excessive computational overhead. In this letter, a novel model-driven deep learning (DL)-based network that combines DL with conjugate gradient algorithm is proposed for CE precoding. Specifically, the original iterative algorithm is unfolded and parameterized by trainable variables. With the proposed architecture, the variables can be learned effici","authors_text":"Chao-Kai Wen, He, Hengtao, Shi Jin, Yunfeng He","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-06-27T02:52:34Z","title":"Model-Driven Deep Learning for Massive Multiuser MIMO Constant Envelope Precoding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.15265","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:d6b239e4897545073f852671f0a19ed5b3e41e145eb538cf4d30a4c1f24e2e73","target":"record","created_at":"2026-07-05T01:14:03Z","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":"31f5603b2d528d3e89072d08cfb2772c639e04cb114b33a936c17aa42fd16cfd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-06-27T02:52:34Z","title_canon_sha256":"b3ec2a880dde4a6a70685835ba6963a191c836a9c9e9cbc545020d6e6a15c217"},"schema_version":"1.0","source":{"id":"2006.15265","kind":"arxiv","version":1}},"canonical_sha256":"2fa788e2b07d6ec594f87372f5bb10ce2cec3bf7080674e287784889a28ed07b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2fa788e2b07d6ec594f87372f5bb10ce2cec3bf7080674e287784889a28ed07b","first_computed_at":"2026-07-05T01:14:03.884312Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:14:03.884312Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ihbhbSg8OLpo6W0SPmF8o2pu62nSHibqUPtYdphmXcwXH2slKhPk90tg7XE+fNLRVlmoKXaDLtpu/9cBF2CpDw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:14:03.884723Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.15265","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d6b239e4897545073f852671f0a19ed5b3e41e145eb538cf4d30a4c1f24e2e73","sha256:36435cf6c05043063264df714dd06426ce340c08328e9655b919deb1bb11b8be"],"state_sha256":"2bff42d7da4567e24de292ab449ad080a3b833c2f470a9729e1b1571f0cb7778"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JtWmmn3x1Xe1xD9BHyfk3kD3Hzt0wyJcOGp/SSLwXlP+4Dh75LJ09ocQNaEYhOCTdPtJFEkkry42OlcIFRVIBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T12:25:40.024741Z","bundle_sha256":"65be3e63b889871c28c989cecd8b7fe98caca20fa1d2f9f57616b97cb7981494"}}