{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:Q7E6CRWOQ35B5OYHG33WQWYFQS","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":"57a0e3a51fcb368e91d48addfb9b751aea6238027b2d843d04937f9a8b52d784","cross_cats_sorted":["cs.IT","cs.LG","math.IT","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-06-04T10:51:08Z","title_canon_sha256":"f631ce8856434e089fdd36ec4cb6e6f32695cd80538f5844671f2f5e08d00785"},"schema_version":"1.0","source":{"id":"1906.03169","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.03169","created_at":"2026-05-17T23:42:58Z"},{"alias_kind":"arxiv_version","alias_value":"1906.03169v2","created_at":"2026-05-17T23:42:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.03169","created_at":"2026-05-17T23:42:58Z"},{"alias_kind":"pith_short_12","alias_value":"Q7E6CRWOQ35B","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"Q7E6CRWOQ35B5OYH","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"Q7E6CRWO","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:5c66c649bc3916f20ef05e8995d46360195da3606ac28bc7c99e65a4192ac6e6","target":"graph","created_at":"2026-05-17T23:42:58Z","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":"Sparse code multiple access (SCMA) has been one of non-orthogonal multiple access (NOMA) schemes aiming to support high spectral efficiency and ubiquitous access requirements for 5G wireless communication networks. Conventional SCMA approaches are confronting remarkable challenges in designing low complexity high accuracy decoding algorithm and constructing optimum codebooks. Fortunately, the recent spotlighted deep learning technologies are of significant potentials in solving many communication engineering problems. Inspired by this, we explore approaches to improve SCMA performances with th","authors_text":"Jinzhi Lin, Shengzhong Feng, Yong Zhang, Yun Zhang, Zhile Yang","cross_cats":["cs.IT","cs.LG","math.IT","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-06-04T10:51:08Z","title":"A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.03169","kind":"arxiv","version":2},"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":"sha256:119f1187f0000c8dd9b6b0bffe1925ed953276081b086f083e0332278e89037c","target":"record","created_at":"2026-05-17T23:42:58Z","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":"57a0e3a51fcb368e91d48addfb9b751aea6238027b2d843d04937f9a8b52d784","cross_cats_sorted":["cs.IT","cs.LG","math.IT","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-06-04T10:51:08Z","title_canon_sha256":"f631ce8856434e089fdd36ec4cb6e6f32695cd80538f5844671f2f5e08d00785"},"schema_version":"1.0","source":{"id":"1906.03169","kind":"arxiv","version":2}},"canonical_sha256":"87c9e146ce86fa1ebb0736f7685b0584b3ad945bb95ee73012ebb951546736d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"87c9e146ce86fa1ebb0736f7685b0584b3ad945bb95ee73012ebb951546736d0","first_computed_at":"2026-05-17T23:42:58.055656Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:58.055656Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EprtK7NDTcpm/LBl8UryUT9CRbkN8o0REPiOnIetE6VEWQ2ncWpEdzjFWQDcQ8mwSW5AqQJ8PYpkwmFhVqSfAg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:58.056220Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.03169","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:119f1187f0000c8dd9b6b0bffe1925ed953276081b086f083e0332278e89037c","sha256:5c66c649bc3916f20ef05e8995d46360195da3606ac28bc7c99e65a4192ac6e6"],"state_sha256":"3e13bbf6794877b5d0a58225190ff2dd8a123626eb04376ce43c13934215bbe1"}