{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:AXZ2BXY25PPZCE4EJYO3YSRMJS","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":"32670b34146ce4d80ec3454cef03f1c3596f9b311944e180036004d1695d08ee","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.app-ph","submitted_at":"2018-10-31T10:32:58Z","title_canon_sha256":"86cc9b5479927148d781c665e5af9b748b0a68d47016b4b88b869ef35fdb59a0"},"schema_version":"1.0","source":{"id":"1811.10381","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.10381","created_at":"2026-05-17T23:59:56Z"},{"alias_kind":"arxiv_version","alias_value":"1811.10381v1","created_at":"2026-05-17T23:59:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.10381","created_at":"2026-05-17T23:59:56Z"},{"alias_kind":"pith_short_12","alias_value":"AXZ2BXY25PPZ","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"AXZ2BXY25PPZCE4E","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"AXZ2BXY2","created_at":"2026-05-18T12:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:c00c111d1cc6eef9278ef75ced512f91230f992f1cf984e1c0c16f5c9f8e88dc","target":"graph","created_at":"2026-05-17T23:59:56Z","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":"A multi-layer neural network is employed to learn the mapping between Raman gain profile and pump powers and wavelengths. The learned model predicts with high-accuracy, low-latency and low-complexity the pumping setup for any gain profile.","authors_text":"A. Carena, A. Ferrari, D. Zibar, V. Curri","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.app-ph","submitted_at":"2018-10-31T10:32:58Z","title":"Machine learning-based Raman amplifier design"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.10381","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:aaa13e8363328321b05c15d68c4a100f4fa08dafd647cac49f6c3eb3f0168d24","target":"record","created_at":"2026-05-17T23:59:56Z","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":"32670b34146ce4d80ec3454cef03f1c3596f9b311944e180036004d1695d08ee","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.app-ph","submitted_at":"2018-10-31T10:32:58Z","title_canon_sha256":"86cc9b5479927148d781c665e5af9b748b0a68d47016b4b88b869ef35fdb59a0"},"schema_version":"1.0","source":{"id":"1811.10381","kind":"arxiv","version":1}},"canonical_sha256":"05f3a0df1aebdf9113844e1dbc4a2c4c8e962e601c4b28bd61919d2b78fcdf78","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"05f3a0df1aebdf9113844e1dbc4a2c4c8e962e601c4b28bd61919d2b78fcdf78","first_computed_at":"2026-05-17T23:59:56.626780Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:56.626780Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dP6yvi/8uCmNOyp65nfHCbMcabtLnsuReNydVDic2gjTAa67RJUl/DpD1ygeRA1O71gFAUOS4eTYl9B1jn1xDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:56.627380Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.10381","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aaa13e8363328321b05c15d68c4a100f4fa08dafd647cac49f6c3eb3f0168d24","sha256:c00c111d1cc6eef9278ef75ced512f91230f992f1cf984e1c0c16f5c9f8e88dc"],"state_sha256":"2001898acae92d98a73e009473d2db041f787c2ff0d343e31c490fc389494397"}