{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:5VMOCBGPQEVBOQLIUDM52SKP7L","short_pith_number":"pith:5VMOCBGP","schema_version":"1.0","canonical_sha256":"ed58e104cf812a174168a0d9dd494ffadcd6ef769bef77abafc042a83e3364d1","source":{"kind":"arxiv","id":"2605.29995","version":1},"attestation_state":"computed","paper":{"title":"Low-Overhead Receiver Design for Data-Dependent Superimposed Training via Deep Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP","math.IT"],"primary_cat":"cs.IT","authors_text":"Chao-Kai Wen, Jing Zhang, Shi Jin, Xiao Li, Xingyu Zhou, Xinjie Li","submitted_at":"2026-05-28T14:26:16Z","abstract_excerpt":"Superimposed pilot (SIP) transmission improves spectral efficiency by eliminating the dedicated pilot overhead required in orthogonal pilot (OP)-based schemes. However, SIP suffers from severe pilot-data coupling, which leads to a critical performance-complexity bottleneck at the receiver. To address this issue, this paper proposes a low-overhead transmission framework that revitalizes data-dependent superimposed training (DDST) with enhanced interference mitigation strategies. First, for quasi-static block-fading channels, an enhanced DDST receiver is developed to achieve non-iterative pilot-"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2605.29995","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2026-05-28T14:26:16Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"6105eaa47e424f5da5e76e6dae4f3edaa6d9d08979b64033d8c241d59033fd6f","abstract_canon_sha256":"bf0ab9ff04bb0917d549946be51d0b7319f07c54ff58992a3aa9df041ad9c40f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T02:06:05.941916Z","signature_b64":"+M1mIdc0MWqBvn+eN3w13nEZq9Wtrzyg1aGzLt+6qbdOEPXXaVqRgtxcfVqPMZIcX3XHk5aIFtaU0ZbSBYdRCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ed58e104cf812a174168a0d9dd494ffadcd6ef769bef77abafc042a83e3364d1","last_reissued_at":"2026-05-29T02:06:05.941204Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T02:06:05.941204Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Low-Overhead Receiver Design for Data-Dependent Superimposed Training via Deep Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP","math.IT"],"primary_cat":"cs.IT","authors_text":"Chao-Kai Wen, Jing Zhang, Shi Jin, Xiao Li, Xingyu Zhou, Xinjie Li","submitted_at":"2026-05-28T14:26:16Z","abstract_excerpt":"Superimposed pilot (SIP) transmission improves spectral efficiency by eliminating the dedicated pilot overhead required in orthogonal pilot (OP)-based schemes. However, SIP suffers from severe pilot-data coupling, which leads to a critical performance-complexity bottleneck at the receiver. To address this issue, this paper proposes a low-overhead transmission framework that revitalizes data-dependent superimposed training (DDST) with enhanced interference mitigation strategies. First, for quasi-static block-fading channels, an enhanced DDST receiver is developed to achieve non-iterative pilot-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29995","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/2605.29995/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2605.29995","created_at":"2026-05-29T02:06:05.941335+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.29995v1","created_at":"2026-05-29T02:06:05.941335+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29995","created_at":"2026-05-29T02:06:05.941335+00:00"},{"alias_kind":"pith_short_12","alias_value":"5VMOCBGPQEVB","created_at":"2026-05-29T02:06:05.941335+00:00"},{"alias_kind":"pith_short_16","alias_value":"5VMOCBGPQEVBOQLI","created_at":"2026-05-29T02:06:05.941335+00:00"},{"alias_kind":"pith_short_8","alias_value":"5VMOCBGP","created_at":"2026-05-29T02:06:05.941335+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/5VMOCBGPQEVBOQLIUDM52SKP7L","json":"https://pith.science/pith/5VMOCBGPQEVBOQLIUDM52SKP7L.json","graph_json":"https://pith.science/api/pith-number/5VMOCBGPQEVBOQLIUDM52SKP7L/graph.json","events_json":"https://pith.science/api/pith-number/5VMOCBGPQEVBOQLIUDM52SKP7L/events.json","paper":"https://pith.science/paper/5VMOCBGP"},"agent_actions":{"view_html":"https://pith.science/pith/5VMOCBGPQEVBOQLIUDM52SKP7L","download_json":"https://pith.science/pith/5VMOCBGPQEVBOQLIUDM52SKP7L.json","view_paper":"https://pith.science/paper/5VMOCBGP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.29995&json=true","fetch_graph":"https://pith.science/api/pith-number/5VMOCBGPQEVBOQLIUDM52SKP7L/graph.json","fetch_events":"https://pith.science/api/pith-number/5VMOCBGPQEVBOQLIUDM52SKP7L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5VMOCBGPQEVBOQLIUDM52SKP7L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5VMOCBGPQEVBOQLIUDM52SKP7L/action/storage_attestation","attest_author":"https://pith.science/pith/5VMOCBGPQEVBOQLIUDM52SKP7L/action/author_attestation","sign_citation":"https://pith.science/pith/5VMOCBGPQEVBOQLIUDM52SKP7L/action/citation_signature","submit_replication":"https://pith.science/pith/5VMOCBGPQEVBOQLIUDM52SKP7L/action/replication_record"}},"created_at":"2026-05-29T02:06:05.941335+00:00","updated_at":"2026-05-29T02:06:05.941335+00:00"}