{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:IPKTZBFLN6HT3POGQKTZQL5J3T","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":"74899426ea8aa6a5121181572a4ecb1abec5bd7d70aad54e1fff36c20fbd8c41","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2019-11-29T11:06:53Z","title_canon_sha256":"decd1cf761a432dd1c5bb0a7adff72843df72ea83cff1584cae1b4feae6860c6"},"schema_version":"1.0","source":{"id":"1911.13055","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.13055","created_at":"2026-07-05T01:08:10Z"},{"alias_kind":"arxiv_version","alias_value":"1911.13055v2","created_at":"2026-07-05T01:08:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.13055","created_at":"2026-07-05T01:08:10Z"},{"alias_kind":"pith_short_12","alias_value":"IPKTZBFLN6HT","created_at":"2026-07-05T01:08:10Z"},{"alias_kind":"pith_short_16","alias_value":"IPKTZBFLN6HT3POG","created_at":"2026-07-05T01:08:10Z"},{"alias_kind":"pith_short_8","alias_value":"IPKTZBFL","created_at":"2026-07-05T01:08:10Z"}],"graph_snapshots":[{"event_id":"sha256:eea696de9f65999dbb07e343f21d10e2f4335ce07bf97a672c591d78129465b4","target":"graph","created_at":"2026-07-05T01:08:10Z","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/1911.13055/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We consider a trainable point-to-point communication system, where both transmitter and receiver are implemented as neural networks (NNs), and demonstrate that training on the bit-wise mutual information (BMI) allows seamless integration with practical bit-metric decoding (BMD) receivers, as well as joint optimization of constellation shaping and labeling. Moreover, we present a fully differentiable neural iterative demapping and decoding (IDD) structure which achieves significant gains on additive white Gaussian noise (AWGN) channels using a standard 802.11n low-density parity-check (LDPC) co","authors_text":"Fay\\c{c}al Ait Aoudia, Jakob Hoydis, Maximilian Stark, Sebastian Cammerer, Sebastian D\\\"orner, Stephan ten Brink","cross_cats":["eess.SP","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2019-11-29T11:06:53Z","title":"Trainable Communication Systems: Concepts and Prototype"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.13055","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":"sha256:82ddd71eb1dda55a8350a88fd9bc003b75888c0551e4266e365712407e246564","target":"record","created_at":"2026-07-05T01:08:10Z","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":"74899426ea8aa6a5121181572a4ecb1abec5bd7d70aad54e1fff36c20fbd8c41","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2019-11-29T11:06:53Z","title_canon_sha256":"decd1cf761a432dd1c5bb0a7adff72843df72ea83cff1584cae1b4feae6860c6"},"schema_version":"1.0","source":{"id":"1911.13055","kind":"arxiv","version":2}},"canonical_sha256":"43d53c84ab6f8f3dbdc682a7982fa9dcc5c5d963ca798ddb5ffbbc407d1898b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"43d53c84ab6f8f3dbdc682a7982fa9dcc5c5d963ca798ddb5ffbbc407d1898b6","first_computed_at":"2026-07-05T01:08:10.905516Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:08:10.905516Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"G2x9968nE9kjj/pUXY1he7X+NyRU5HzIgsuQhfhvc549CUogl7bbX+ZDTsbSZuWZbva5mC4c4Fti++0h3NsfCg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:08:10.905898Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.13055","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:82ddd71eb1dda55a8350a88fd9bc003b75888c0551e4266e365712407e246564","sha256:eea696de9f65999dbb07e343f21d10e2f4335ce07bf97a672c591d78129465b4"],"state_sha256":"f897005356019c72527127f13a2c73ef0a310be30d4d4b907ba6f9cc70913163"}