{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:UO7J7TPW6CDEKUHPR2P2QLXZE3","short_pith_number":"pith:UO7J7TPW","canonical_record":{"source":{"id":"2201.01388","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2021-12-29T18:09:23Z","cross_cats_sorted":["cs.AI","cs.LG","cs.NI","eess.SP","math.IT"],"title_canon_sha256":"edf15f9b26154b7176e683eb4db290d37d4ba5c4b98734c28a77f68ba8f63ba5","abstract_canon_sha256":"71d59531ff6bc3fa7d80aecf4afb6bd900cf322ae91f70974c5127504058f977"},"schema_version":"1.0"},"canonical_sha256":"a3be9fcdf6f0864550ef8e9fa82ef926dd98db039f850ba0eb926320eb657a7b","source":{"kind":"arxiv","id":"2201.01388","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.01388","created_at":"2026-07-05T03:46:05Z"},{"alias_kind":"arxiv_version","alias_value":"2201.01388v1","created_at":"2026-07-05T03:46:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.01388","created_at":"2026-07-05T03:46:05Z"},{"alias_kind":"pith_short_12","alias_value":"UO7J7TPW6CDE","created_at":"2026-07-05T03:46:05Z"},{"alias_kind":"pith_short_16","alias_value":"UO7J7TPW6CDEKUHP","created_at":"2026-07-05T03:46:05Z"},{"alias_kind":"pith_short_8","alias_value":"UO7J7TPW","created_at":"2026-07-05T03:46:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:UO7J7TPW6CDEKUHPR2P2QLXZE3","target":"record","payload":{"canonical_record":{"source":{"id":"2201.01388","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2021-12-29T18:09:23Z","cross_cats_sorted":["cs.AI","cs.LG","cs.NI","eess.SP","math.IT"],"title_canon_sha256":"edf15f9b26154b7176e683eb4db290d37d4ba5c4b98734c28a77f68ba8f63ba5","abstract_canon_sha256":"71d59531ff6bc3fa7d80aecf4afb6bd900cf322ae91f70974c5127504058f977"},"schema_version":"1.0"},"canonical_sha256":"a3be9fcdf6f0864550ef8e9fa82ef926dd98db039f850ba0eb926320eb657a7b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:46:05.239442Z","signature_b64":"37k34GhPuv/p68gpnon8SsrM59J2Y4tFGvn7un/fkybIfc5kuv5SySt/3GAE5yrPiFijvtN1zcL9+UZIFA2jAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a3be9fcdf6f0864550ef8e9fa82ef926dd98db039f850ba0eb926320eb657a7b","last_reissued_at":"2026-07-05T03:46:05.238965Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:46:05.238965Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2201.01388","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:46:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"40NwRE8jNLeSYWRAuGC9NFplbE65vPsOAXw6kWJV94n8ycuNbI/+Cz13DXldMv+5CgkxeuJb/QeyM2OZasemAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:46:15.350416Z"},"content_sha256":"439f79da61370059fc3d1986f98b3110798015d38e8cf4afb9474c412a4e5ab4","schema_version":"1.0","event_id":"sha256:439f79da61370059fc3d1986f98b3110798015d38e8cf4afb9474c412a4e5ab4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:UO7J7TPW6CDEKUHPR2P2QLXZE3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"End-to-End Autoencoder Communications with Optimized Interference Suppression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.NI","eess.SP","math.IT"],"primary_cat":"cs.IT","authors_text":"Kemal Davaslioglu, Tugba Erpek, Yalin E. Sagduyu","submitted_at":"2021-12-29T18:09:23Z","abstract_excerpt":"An end-to-end communications system based on Orthogonal Frequency Division Multiplexing (OFDM) is modeled as an autoencoder (AE) for which the transmitter (coding and modulation) and receiver (demodulation and decoding) are represented as deep neural networks (DNNs) of the encoder and decoder, respectively. This AE communications approach is shown to outperform conventional communications in terms of bit error rate (BER) under practical scenarios regarding channel and interference effects as well as training data and embedded implementation constraints. A generative adversarial network (GAN) i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.01388","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/2201.01388/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:46:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dWxLeRt3YsSKNahFD/FcohiOo/eiwqpSOAWJ1stnBYMFGL2Y6KYhe+IIV+PO4nJmyORxks6tc2+QW6qMi/VoAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:46:15.350789Z"},"content_sha256":"95d0191870f99426570f4aa98eb0ba080cf48bc092aadb71e9ca95cc2cc339da","schema_version":"1.0","event_id":"sha256:95d0191870f99426570f4aa98eb0ba080cf48bc092aadb71e9ca95cc2cc339da"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UO7J7TPW6CDEKUHPR2P2QLXZE3/bundle.json","state_url":"https://pith.science/pith/UO7J7TPW6CDEKUHPR2P2QLXZE3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UO7J7TPW6CDEKUHPR2P2QLXZE3/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-07T15:46:15Z","links":{"resolver":"https://pith.science/pith/UO7J7TPW6CDEKUHPR2P2QLXZE3","bundle":"https://pith.science/pith/UO7J7TPW6CDEKUHPR2P2QLXZE3/bundle.json","state":"https://pith.science/pith/UO7J7TPW6CDEKUHPR2P2QLXZE3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UO7J7TPW6CDEKUHPR2P2QLXZE3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:UO7J7TPW6CDEKUHPR2P2QLXZE3","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":"71d59531ff6bc3fa7d80aecf4afb6bd900cf322ae91f70974c5127504058f977","cross_cats_sorted":["cs.AI","cs.LG","cs.NI","eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2021-12-29T18:09:23Z","title_canon_sha256":"edf15f9b26154b7176e683eb4db290d37d4ba5c4b98734c28a77f68ba8f63ba5"},"schema_version":"1.0","source":{"id":"2201.01388","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.01388","created_at":"2026-07-05T03:46:05Z"},{"alias_kind":"arxiv_version","alias_value":"2201.01388v1","created_at":"2026-07-05T03:46:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.01388","created_at":"2026-07-05T03:46:05Z"},{"alias_kind":"pith_short_12","alias_value":"UO7J7TPW6CDE","created_at":"2026-07-05T03:46:05Z"},{"alias_kind":"pith_short_16","alias_value":"UO7J7TPW6CDEKUHP","created_at":"2026-07-05T03:46:05Z"},{"alias_kind":"pith_short_8","alias_value":"UO7J7TPW","created_at":"2026-07-05T03:46:05Z"}],"graph_snapshots":[{"event_id":"sha256:95d0191870f99426570f4aa98eb0ba080cf48bc092aadb71e9ca95cc2cc339da","target":"graph","created_at":"2026-07-05T03:46:05Z","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/2201.01388/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"An end-to-end communications system based on Orthogonal Frequency Division Multiplexing (OFDM) is modeled as an autoencoder (AE) for which the transmitter (coding and modulation) and receiver (demodulation and decoding) are represented as deep neural networks (DNNs) of the encoder and decoder, respectively. This AE communications approach is shown to outperform conventional communications in terms of bit error rate (BER) under practical scenarios regarding channel and interference effects as well as training data and embedded implementation constraints. A generative adversarial network (GAN) i","authors_text":"Kemal Davaslioglu, Tugba Erpek, Yalin E. Sagduyu","cross_cats":["cs.AI","cs.LG","cs.NI","eess.SP","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2021-12-29T18:09:23Z","title":"End-to-End Autoencoder Communications with Optimized Interference Suppression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.01388","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":"sha256:439f79da61370059fc3d1986f98b3110798015d38e8cf4afb9474c412a4e5ab4","target":"record","created_at":"2026-07-05T03:46:05Z","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":"71d59531ff6bc3fa7d80aecf4afb6bd900cf322ae91f70974c5127504058f977","cross_cats_sorted":["cs.AI","cs.LG","cs.NI","eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2021-12-29T18:09:23Z","title_canon_sha256":"edf15f9b26154b7176e683eb4db290d37d4ba5c4b98734c28a77f68ba8f63ba5"},"schema_version":"1.0","source":{"id":"2201.01388","kind":"arxiv","version":1}},"canonical_sha256":"a3be9fcdf6f0864550ef8e9fa82ef926dd98db039f850ba0eb926320eb657a7b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a3be9fcdf6f0864550ef8e9fa82ef926dd98db039f850ba0eb926320eb657a7b","first_computed_at":"2026-07-05T03:46:05.238965Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:46:05.238965Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"37k34GhPuv/p68gpnon8SsrM59J2Y4tFGvn7un/fkybIfc5kuv5SySt/3GAE5yrPiFijvtN1zcL9+UZIFA2jAw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:46:05.239442Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.01388","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:439f79da61370059fc3d1986f98b3110798015d38e8cf4afb9474c412a4e5ab4","sha256:95d0191870f99426570f4aa98eb0ba080cf48bc092aadb71e9ca95cc2cc339da"],"state_sha256":"0837cb5bae1f1145356b43f726a1a74f5035dc09b436a20dfba8a1cf1351976e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pogdTecJWa4dSBcUTyzXUvXagNMZ/ds8cmlKfHXb6XslFlEvdTpJMYghfndht7+WnBprgxFTNTrntGwrhD4LBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T15:46:15.352665Z","bundle_sha256":"eb1329794d51a7bdb645e0e76dab81b9921e491e77e35e7dcc25c3f2e84b9388"}}