{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:Q5VMTRJ3LELWU22UGROI636VQO","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":"85c239f23d601287787b49a70cee6d3ef2fe8100126919b9370b9e4b0b253089","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-11-30T19:07:57Z","title_canon_sha256":"24e513890f92bfbef47d050fa5f0995fe7248cda08527bdffe8651d2cb6a372c"},"schema_version":"1.0","source":{"id":"1812.00023","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.00023","created_at":"2026-05-17T23:59:27Z"},{"alias_kind":"arxiv_version","alias_value":"1812.00023v1","created_at":"2026-05-17T23:59:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.00023","created_at":"2026-05-17T23:59:27Z"},{"alias_kind":"pith_short_12","alias_value":"Q5VMTRJ3LELW","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"Q5VMTRJ3LELWU22U","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"Q5VMTRJ3","created_at":"2026-05-18T12:32:46Z"}],"graph_snapshots":[{"event_id":"sha256:7797eb7b983019d521d7fbb97593eb1e2bd54b6500b78b639e07c7ed5c35aea4","target":"graph","created_at":"2026-05-17T23:59:27Z","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"},"paper":{"abstract_excerpt":"In this paper, we consider using deep neural network for OFDM symbol detection and demonstrate its performance advantages in combating large Doppler Shift. In particular, a new architecture named Cascade-Net is proposed for detection, where deep neural network is cascading with a zero-forcing preprocessor to prevent the network stucking in a saddle point or a local minimum point. In addition, we propose a sliding detection approach in order to detect OFDM symbols with large number of subcarriers. We evaluate this new architecture, as well as the sliding algorithm, using the Rayleigh channel wi","authors_text":"Chunming Zhao, Jing Liang, Ming Jiang, Qisheng Huang, Xiaoming Li","cross_cats":["cs.IT","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-11-30T19:07:57Z","title":"Cascade-Net: a New Deep Learning Architecture for OFDM Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.00023","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":"sha256:1f0d5ab6bcc26875cf4c14ae0264505b9bb041beb706a3333bfad07304ad71ba","target":"record","created_at":"2026-05-17T23:59:27Z","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":"85c239f23d601287787b49a70cee6d3ef2fe8100126919b9370b9e4b0b253089","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-11-30T19:07:57Z","title_canon_sha256":"24e513890f92bfbef47d050fa5f0995fe7248cda08527bdffe8651d2cb6a372c"},"schema_version":"1.0","source":{"id":"1812.00023","kind":"arxiv","version":1}},"canonical_sha256":"876ac9c53b59176a6b54345c8f6fd5838fa4e224c836d0b47840ac6897d1c362","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"876ac9c53b59176a6b54345c8f6fd5838fa4e224c836d0b47840ac6897d1c362","first_computed_at":"2026-05-17T23:59:27.547243Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:27.547243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NHV6fTc4o39k/Hy7Wrh35NztP4Z1plTykpSnEMfiFTSYye31HfDxEzd3VaUN/9yEWlFABmBwSftX6Fy43NJ9Ag==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:27.547793Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.00023","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f0d5ab6bcc26875cf4c14ae0264505b9bb041beb706a3333bfad07304ad71ba","sha256:7797eb7b983019d521d7fbb97593eb1e2bd54b6500b78b639e07c7ed5c35aea4"],"state_sha256":"b199f2c161b0937226f99361b5dd290e2ba250b5a6a1a67b88a21f0aa8095e4a"}