{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:EZW7NB6JTC3Q5FJG3RZRVL2L6D","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":"769993c8cd159b79824e76e375a44d8424e05cf60b68fb7b715eeb6e98841458","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2016-03-14T08:30:54Z","title_canon_sha256":"461755deb9a879ce613cfcc234fb89f5f20a0f28db787f3d9a832eb87ee3f38e"},"schema_version":"1.0","source":{"id":"1603.04163","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.04163","created_at":"2026-05-18T01:05:43Z"},{"alias_kind":"arxiv_version","alias_value":"1603.04163v1","created_at":"2026-05-18T01:05:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.04163","created_at":"2026-05-18T01:05:43Z"},{"alias_kind":"pith_short_12","alias_value":"EZW7NB6JTC3Q","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"EZW7NB6JTC3Q5FJG","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"EZW7NB6J","created_at":"2026-05-18T12:30:15Z"}],"graph_snapshots":[{"event_id":"sha256:b486c7c220c66c7704c505bfb6a0bc2ab122894a22254ca19a36d609f96366e6","target":"graph","created_at":"2026-05-18T01:05:43Z","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 work, with combined belief propagation (BP), mean field (MF) and expectation propagation (EP), an iterative receiver is designed for joint phase noise (PN) estimation, equalization and decoding in a coded communication system. The presence of the PN results in a nonlinear observation model. Conventionally, the nonlinear model is directly linearized by using the first-order Taylor approximation, e.g., in the state-of-the-art soft-input extended Kalman smoothing approach (soft-in EKS). In this work, MF is used to handle the factor due to the nonlinear model, and a second-order Taylor app","authors_text":"Chuanzong Zhang, Peng Sun, Qinghua Guo, Wei Wang, Xingye Wang, Zhongyong Wang","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2016-03-14T08:30:54Z","title":"A BP-MF-EP Based Iterative Receiver for Joint Phase Noise Estimation, Equalization and Decoding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.04163","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":"sha256:2225d887f6ee4a506572a87088a0352af8a02636483d74031bfcacbcb6aff145","target":"record","created_at":"2026-05-18T01:05:43Z","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":"769993c8cd159b79824e76e375a44d8424e05cf60b68fb7b715eeb6e98841458","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2016-03-14T08:30:54Z","title_canon_sha256":"461755deb9a879ce613cfcc234fb89f5f20a0f28db787f3d9a832eb87ee3f38e"},"schema_version":"1.0","source":{"id":"1603.04163","kind":"arxiv","version":1}},"canonical_sha256":"266df687c998b70e9526dc731aaf4bf0ccc6810d9ddc42ce64d82c4f847b11a9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"266df687c998b70e9526dc731aaf4bf0ccc6810d9ddc42ce64d82c4f847b11a9","first_computed_at":"2026-05-18T01:05:43.778779Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:05:43.778779Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Vtxrg0IkIHwIjDdsiaR9ijJcfK8jN180NMrOVEpfYazEx28B/lRkfULgpHyizu2kVkMBMbSQA3hlpsToLNh1DQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:05:43.779370Z","signed_message":"canonical_sha256_bytes"},"source_id":"1603.04163","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2225d887f6ee4a506572a87088a0352af8a02636483d74031bfcacbcb6aff145","sha256:b486c7c220c66c7704c505bfb6a0bc2ab122894a22254ca19a36d609f96366e6"],"state_sha256":"1512d0e5b899a49552910b902393bdcf8face8b241ec7e75e5bf4db3d9c92730"}