{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WLAJL6XTTQQ2WUCKBDXQYDPBGG","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":"fa79d67cc7431ab618519ba99f7bb2f585bb3a4ceb63623222119d3fbcc2bf5e","cross_cats_sorted":["cs.LG","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-04-22T09:13:47Z","title_canon_sha256":"4884e12d44477f777e7185e2a58f7b1cc8a793786f322f4e9da7fc23952873fe"},"schema_version":"1.0","source":{"id":"2405.02323","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.02323","created_at":"2026-07-05T08:15:13Z"},{"alias_kind":"arxiv_version","alias_value":"2405.02323v1","created_at":"2026-07-05T08:15:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.02323","created_at":"2026-07-05T08:15:13Z"},{"alias_kind":"pith_short_12","alias_value":"WLAJL6XTTQQ2","created_at":"2026-07-05T08:15:13Z"},{"alias_kind":"pith_short_16","alias_value":"WLAJL6XTTQQ2WUCK","created_at":"2026-07-05T08:15:13Z"},{"alias_kind":"pith_short_8","alias_value":"WLAJL6XT","created_at":"2026-07-05T08:15:13Z"}],"graph_snapshots":[{"event_id":"sha256:b8be660abf32ca94852ba67a8a6479dddf98bbc65a29b0947fb1e68e73df8b2b","target":"graph","created_at":"2026-07-05T08:15:13Z","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/2405.02323/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To satisfy the growing throughput demand of data-intensive applications, the performance of optical communication systems increased dramatically in recent years. With higher throughput, more advanced equalizers are crucial, to compensate for impairments caused by inter-symbol interference (ISI). The latest research shows that artificial neural network (ANN)-based equalizers are promising candidates to replace traditional algorithms for high-throughput communications. On the other hand, not only throughput but also flexibility is a main objective of beyond-5G and 6G communication systems. A pla","authors_text":"Christoph F\\\"ullner, Jonas Ney, Laurent Schmalen, Norbert Wehn, Sebastian Randel, Vincent Lauinger","cross_cats":["cs.LG","eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-04-22T09:13:47Z","title":"CNN-Based Equalization for Communications: Achieving Gigabit Throughput with a Flexible FPGA Hardware Architecture"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.02323","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":"sha256:45cadd3bbaaf8420fc53bdacf1815dd5dad255ec55bc1125d1430b571c4318c1","target":"record","created_at":"2026-07-05T08:15:13Z","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":"fa79d67cc7431ab618519ba99f7bb2f585bb3a4ceb63623222119d3fbcc2bf5e","cross_cats_sorted":["cs.LG","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-04-22T09:13:47Z","title_canon_sha256":"4884e12d44477f777e7185e2a58f7b1cc8a793786f322f4e9da7fc23952873fe"},"schema_version":"1.0","source":{"id":"2405.02323","kind":"arxiv","version":1}},"canonical_sha256":"b2c095faf39c21ab504a08ef0c0de131a08ce0e3665a98d1a8370e3cc2cdfa37","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2c095faf39c21ab504a08ef0c0de131a08ce0e3665a98d1a8370e3cc2cdfa37","first_computed_at":"2026-07-05T08:15:13.938204Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:15:13.938204Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IaXhwEt09c58Eh4djvpDAMp1FKT94GcmCIE7NNydWNY4mO3wrt+ZgHZd3o9Cx/oAWhjMLIAmQfQ7A8e7CTjyCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:15:13.938636Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.02323","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:45cadd3bbaaf8420fc53bdacf1815dd5dad255ec55bc1125d1430b571c4318c1","sha256:b8be660abf32ca94852ba67a8a6479dddf98bbc65a29b0947fb1e68e73df8b2b"],"state_sha256":"14046c31e1d3b2b97b71e3261605871f6a8ff49cacb62fd5d30c44838d942829"}