{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:HNCLBYOKVKVDTPC5DVFWWMEIU7","short_pith_number":"pith:HNCLBYOK","schema_version":"1.0","canonical_sha256":"3b44b0e1caaaaa39bc5d1d4b6b3088a7c28e18e4b97db8c068bf307998f2e95c","source":{"kind":"arxiv","id":"1806.04601","version":1},"attestation_state":"computed","paper":{"title":"Efficiently Modeling the Noise Performance of Short-Pulse Lasers with a Computational Implementation of Dynamical Methods","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph","physics.optics"],"primary_cat":"physics.app-ph","authors_text":"Curtis R. Menyuk, Shaokang Wang, Thomas F. Carruthers","submitted_at":"2018-05-27T13:47:05Z","abstract_excerpt":"Lowering the noise level of short pulse lasers has been a long-standing effort for decades. Modeling the noise performance plays a crucial role in isolating the noise sources and reducing them. Modeling to date has either used analytical or semi-analytical implementation of dynamical methods or Monte Carlo simulations. The former approach is too simplified to accurately assess the noise performance in real laser systems, while the latter approach is too computationally slow to optimize the performance as parameters vary over a wide range. Here, we describe a computational implementation of dyn"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1806.04601","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.app-ph","submitted_at":"2018-05-27T13:47:05Z","cross_cats_sorted":["physics.comp-ph","physics.optics"],"title_canon_sha256":"4bd44694b511f2ede9b791513432f6ce29557d34e0dd64ce6a846c6f92471da9","abstract_canon_sha256":"e0fd86841a1325332ec82b07651058f717b8f7d9d8e8dab0c5155b42f51146d6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:03:16.254939Z","signature_b64":"Nx81hLIdjna6GXG6sPOOAfLcc/6q/wnFsamXFTvTKAImerelX8ECvu9MkTkskZzlQVjhoUYILlBZuHffKBaqBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b44b0e1caaaaa39bc5d1d4b6b3088a7c28e18e4b97db8c068bf307998f2e95c","last_reissued_at":"2026-05-18T00:03:16.254436Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:03:16.254436Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Efficiently Modeling the Noise Performance of Short-Pulse Lasers with a Computational Implementation of Dynamical Methods","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph","physics.optics"],"primary_cat":"physics.app-ph","authors_text":"Curtis R. Menyuk, Shaokang Wang, Thomas F. Carruthers","submitted_at":"2018-05-27T13:47:05Z","abstract_excerpt":"Lowering the noise level of short pulse lasers has been a long-standing effort for decades. Modeling the noise performance plays a crucial role in isolating the noise sources and reducing them. Modeling to date has either used analytical or semi-analytical implementation of dynamical methods or Monte Carlo simulations. The former approach is too simplified to accurately assess the noise performance in real laser systems, while the latter approach is too computationally slow to optimize the performance as parameters vary over a wide range. Here, we describe a computational implementation of dyn"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.04601","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1806.04601","created_at":"2026-05-18T00:03:16.254510+00:00"},{"alias_kind":"arxiv_version","alias_value":"1806.04601v1","created_at":"2026-05-18T00:03:16.254510+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.04601","created_at":"2026-05-18T00:03:16.254510+00:00"},{"alias_kind":"pith_short_12","alias_value":"HNCLBYOKVKVD","created_at":"2026-05-18T12:32:28.185984+00:00"},{"alias_kind":"pith_short_16","alias_value":"HNCLBYOKVKVDTPC5","created_at":"2026-05-18T12:32:28.185984+00:00"},{"alias_kind":"pith_short_8","alias_value":"HNCLBYOK","created_at":"2026-05-18T12:32:28.185984+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HNCLBYOKVKVDTPC5DVFWWMEIU7","json":"https://pith.science/pith/HNCLBYOKVKVDTPC5DVFWWMEIU7.json","graph_json":"https://pith.science/api/pith-number/HNCLBYOKVKVDTPC5DVFWWMEIU7/graph.json","events_json":"https://pith.science/api/pith-number/HNCLBYOKVKVDTPC5DVFWWMEIU7/events.json","paper":"https://pith.science/paper/HNCLBYOK"},"agent_actions":{"view_html":"https://pith.science/pith/HNCLBYOKVKVDTPC5DVFWWMEIU7","download_json":"https://pith.science/pith/HNCLBYOKVKVDTPC5DVFWWMEIU7.json","view_paper":"https://pith.science/paper/HNCLBYOK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1806.04601&json=true","fetch_graph":"https://pith.science/api/pith-number/HNCLBYOKVKVDTPC5DVFWWMEIU7/graph.json","fetch_events":"https://pith.science/api/pith-number/HNCLBYOKVKVDTPC5DVFWWMEIU7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HNCLBYOKVKVDTPC5DVFWWMEIU7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HNCLBYOKVKVDTPC5DVFWWMEIU7/action/storage_attestation","attest_author":"https://pith.science/pith/HNCLBYOKVKVDTPC5DVFWWMEIU7/action/author_attestation","sign_citation":"https://pith.science/pith/HNCLBYOKVKVDTPC5DVFWWMEIU7/action/citation_signature","submit_replication":"https://pith.science/pith/HNCLBYOKVKVDTPC5DVFWWMEIU7/action/replication_record"}},"created_at":"2026-05-18T00:03:16.254510+00:00","updated_at":"2026-05-18T00:03:16.254510+00:00"}