{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:6QJIQPFSFMOCPIJOBWSQ7GORZE","short_pith_number":"pith:6QJIQPFS","canonical_record":{"source":{"id":"1705.10459","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-05-30T05:33:23Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"4fb74002f8bf86b2079cbd18c308f9ad0eb23838daee4bab86df3e62d93be83f","abstract_canon_sha256":"088cc6c280c230384143c8d33d27a4ffdb9eb2424904dd770017b99678de12da"},"schema_version":"1.0"},"canonical_sha256":"f412883cb22b1c27a12e0da50f99d1c9308fa5921fcc0a26d950762be953d6f1","source":{"kind":"arxiv","id":"1705.10459","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.10459","created_at":"2026-05-18T00:43:24Z"},{"alias_kind":"arxiv_version","alias_value":"1705.10459v1","created_at":"2026-05-18T00:43:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.10459","created_at":"2026-05-18T00:43:24Z"},{"alias_kind":"pith_short_12","alias_value":"6QJIQPFSFMOC","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6QJIQPFSFMOCPIJO","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6QJIQPFS","created_at":"2026-05-18T12:31:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:6QJIQPFSFMOCPIJOBWSQ7GORZE","target":"record","payload":{"canonical_record":{"source":{"id":"1705.10459","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-05-30T05:33:23Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"4fb74002f8bf86b2079cbd18c308f9ad0eb23838daee4bab86df3e62d93be83f","abstract_canon_sha256":"088cc6c280c230384143c8d33d27a4ffdb9eb2424904dd770017b99678de12da"},"schema_version":"1.0"},"canonical_sha256":"f412883cb22b1c27a12e0da50f99d1c9308fa5921fcc0a26d950762be953d6f1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:24.515134Z","signature_b64":"kJfFJsGWWWnUHiHbj5g/Ge4haM2rD4ycAnGlPZeUcjiZ8jdAjdCUm08WRKaax7e6KpyXP0OBPUCAKXmexWf7DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f412883cb22b1c27a12e0da50f99d1c9308fa5921fcc0a26d950762be953d6f1","last_reissued_at":"2026-05-18T00:43:24.514624Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:24.514624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.10459","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":"2026-05-18T00:43:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QwM6UGKDwFNZRzf9bh1cKxJQ5MKUmq33f9EBNUzVf3fo/QfstR0Vj1avic4AwcVj2+fHaEU+bczFweMeamCYCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T08:06:37.301468Z"},"content_sha256":"a605fa4a77e6364e494d8a96a487d6aa3914485c1df8e67f7e7793cae9b65de3","schema_version":"1.0","event_id":"sha256:a605fa4a77e6364e494d8a96a487d6aa3914485c1df8e67f7e7793cae9b65de3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:6QJIQPFSFMOCPIJOBWSQ7GORZE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep-LMS for gigabit transmission over unshielded twisted pair cables","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Amir Leshem, Avi Zanko, Itsik Bergel","submitted_at":"2017-05-30T05:33:23Z","abstract_excerpt":"In this paper we propose a rapidly converging LMS algorithm for crosstalk cancellation. The architecture is similar to deep neural networks, where multiple layers are adapted sequentially. The application motivating this approach is gigabit rate transmission over unshielded twisted pairs using a vectored system. The crosstalk cancellation algorithm uses an adaptive non-diagonal preprocessing matrix prior to a conventional LMS crosstalk canceler. The update of the preprocessing matrix is inspired by deep neural networks. However, since most the operations in the Deep-LMS algorithm are linear, w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.10459","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":""},"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":"2026-05-18T00:43:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"okn9IrloNyb48vlr5lWCHhVF9tEbpj3/nRs+O6RJGxKzwLmds2FCrcZ3K6KITQlasIr5XRR48ItG4jct0PcQCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T08:06:37.301815Z"},"content_sha256":"f9c216feab93e7772fc79402b0bd6e65721266c7ed1ca63b4b834bfd6e7521f5","schema_version":"1.0","event_id":"sha256:f9c216feab93e7772fc79402b0bd6e65721266c7ed1ca63b4b834bfd6e7521f5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6QJIQPFSFMOCPIJOBWSQ7GORZE/bundle.json","state_url":"https://pith.science/pith/6QJIQPFSFMOCPIJOBWSQ7GORZE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6QJIQPFSFMOCPIJOBWSQ7GORZE/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":"2026-05-30T08:06:37Z","links":{"resolver":"https://pith.science/pith/6QJIQPFSFMOCPIJOBWSQ7GORZE","bundle":"https://pith.science/pith/6QJIQPFSFMOCPIJOBWSQ7GORZE/bundle.json","state":"https://pith.science/pith/6QJIQPFSFMOCPIJOBWSQ7GORZE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6QJIQPFSFMOCPIJOBWSQ7GORZE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:6QJIQPFSFMOCPIJOBWSQ7GORZE","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":"088cc6c280c230384143c8d33d27a4ffdb9eb2424904dd770017b99678de12da","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-05-30T05:33:23Z","title_canon_sha256":"4fb74002f8bf86b2079cbd18c308f9ad0eb23838daee4bab86df3e62d93be83f"},"schema_version":"1.0","source":{"id":"1705.10459","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.10459","created_at":"2026-05-18T00:43:24Z"},{"alias_kind":"arxiv_version","alias_value":"1705.10459v1","created_at":"2026-05-18T00:43:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.10459","created_at":"2026-05-18T00:43:24Z"},{"alias_kind":"pith_short_12","alias_value":"6QJIQPFSFMOC","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6QJIQPFSFMOCPIJO","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6QJIQPFS","created_at":"2026-05-18T12:31:03Z"}],"graph_snapshots":[{"event_id":"sha256:f9c216feab93e7772fc79402b0bd6e65721266c7ed1ca63b4b834bfd6e7521f5","target":"graph","created_at":"2026-05-18T00:43:24Z","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 paper we propose a rapidly converging LMS algorithm for crosstalk cancellation. The architecture is similar to deep neural networks, where multiple layers are adapted sequentially. The application motivating this approach is gigabit rate transmission over unshielded twisted pairs using a vectored system. The crosstalk cancellation algorithm uses an adaptive non-diagonal preprocessing matrix prior to a conventional LMS crosstalk canceler. The update of the preprocessing matrix is inspired by deep neural networks. However, since most the operations in the Deep-LMS algorithm are linear, w","authors_text":"Amir Leshem, Avi Zanko, Itsik Bergel","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-05-30T05:33:23Z","title":"Deep-LMS for gigabit transmission over unshielded twisted pair cables"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.10459","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:a605fa4a77e6364e494d8a96a487d6aa3914485c1df8e67f7e7793cae9b65de3","target":"record","created_at":"2026-05-18T00:43:24Z","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":"088cc6c280c230384143c8d33d27a4ffdb9eb2424904dd770017b99678de12da","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-05-30T05:33:23Z","title_canon_sha256":"4fb74002f8bf86b2079cbd18c308f9ad0eb23838daee4bab86df3e62d93be83f"},"schema_version":"1.0","source":{"id":"1705.10459","kind":"arxiv","version":1}},"canonical_sha256":"f412883cb22b1c27a12e0da50f99d1c9308fa5921fcc0a26d950762be953d6f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f412883cb22b1c27a12e0da50f99d1c9308fa5921fcc0a26d950762be953d6f1","first_computed_at":"2026-05-18T00:43:24.514624Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:24.514624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kJfFJsGWWWnUHiHbj5g/Ge4haM2rD4ycAnGlPZeUcjiZ8jdAjdCUm08WRKaax7e6KpyXP0OBPUCAKXmexWf7DA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:24.515134Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.10459","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a605fa4a77e6364e494d8a96a487d6aa3914485c1df8e67f7e7793cae9b65de3","sha256:f9c216feab93e7772fc79402b0bd6e65721266c7ed1ca63b4b834bfd6e7521f5"],"state_sha256":"8c294107ff71610696e7ba94c82d417a352151c1315267a5493de24a0fd442d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s/q++k7AO/0OkneS83tOACMuIEUm55w4KBhahXXzEqW81Jr22TYHuNSPWcc3blmvJANKJ5Mlr2NgYfrreF1QAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T08:06:37.304038Z","bundle_sha256":"c12df7bca823a7610d96e38c6909317cb304ac7912dc7df3d47533e1c217aafe"}}