{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:7WE5FABO2IBZFFFHVOWBSRNX3V","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":"c4948bd84fe668d36d629eae5083c19e64b8a532e1c749897ae084ffd226ad46","cross_cats_sorted":["cs.AI","cs.IT","math.IT","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-04-22T12:01:39Z","title_canon_sha256":"e394c199310abe6a85f29a7e6496d1eda5bcaca75d73bec4a5b97940aaa820c6"},"schema_version":"1.0","source":{"id":"1904.09807","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.09807","created_at":"2026-05-17T23:48:03Z"},{"alias_kind":"arxiv_version","alias_value":"1904.09807v1","created_at":"2026-05-17T23:48:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.09807","created_at":"2026-05-17T23:48:03Z"},{"alias_kind":"pith_short_12","alias_value":"7WE5FABO2IBZ","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"7WE5FABO2IBZFFFH","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"7WE5FABO","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:5ab9dea43cf859bb8b1036c7d5b88064e29693fb9a87a50196d52eb036d98187","target":"graph","created_at":"2026-05-17T23:48:03Z","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":"For the efficient compensation of fiber nonlinearity, one of the guiding principles appears to be: fewer steps are better and more efficient. We challenge this assumption and show that carefully designed multi-step approaches can lead to better performance-complexity trade-offs than their few-step counterparts.","authors_text":"Alex Alvarado, Christian H\\\"ager, Gabriele Liga, Henry D. Pfister, Rick M. B\\\"utler","cross_cats":["cs.AI","cs.IT","math.IT","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-04-22T12:01:39Z","title":"Revisiting Multi-Step Nonlinearity Compensation with Machine Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.09807","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":"sha256:6b4bd5f513c380428d6075673895382f72ce2dfeb943178d431e788dde60f343","target":"record","created_at":"2026-05-17T23:48:03Z","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":"c4948bd84fe668d36d629eae5083c19e64b8a532e1c749897ae084ffd226ad46","cross_cats_sorted":["cs.AI","cs.IT","math.IT","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-04-22T12:01:39Z","title_canon_sha256":"e394c199310abe6a85f29a7e6496d1eda5bcaca75d73bec4a5b97940aaa820c6"},"schema_version":"1.0","source":{"id":"1904.09807","kind":"arxiv","version":1}},"canonical_sha256":"fd89d2802ed2039294a7abac1945b7dd676bb741321609c504da9157b7a648df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fd89d2802ed2039294a7abac1945b7dd676bb741321609c504da9157b7a648df","first_computed_at":"2026-05-17T23:48:03.257269Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:03.257269Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9OQwcWu2ZfbhA9eynvGCJKM0mB/tqtp0PVsJvfpjYpn8N0XGDF9Eu5EOcFloADfLi+GQKKeYkkS/FgeCaLMXDQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:03.257913Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.09807","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b4bd5f513c380428d6075673895382f72ce2dfeb943178d431e788dde60f343","sha256:5ab9dea43cf859bb8b1036c7d5b88064e29693fb9a87a50196d52eb036d98187"],"state_sha256":"887da6a08f52b7f87db0bfb9085c9cf6035b3e39ce15dd04d7f03b4151e37b2f"}