{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:IXHRUVE5AKOSWXGGU2FEBWKCZ2","short_pith_number":"pith:IXHRUVE5","schema_version":"1.0","canonical_sha256":"45cf1a549d029d2b5cc6a68a40d942ce85dc2e7ed878a3a5423d11d05758cfcd","source":{"kind":"arxiv","id":"1910.12741","version":2},"attestation_state":"computed","paper":{"title":"Machine-Learning-Assisted Metasurface Design for High-Efficiency Thermal Emitter Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"physics.optics","authors_text":"Alexander V. Kildishev, Alexandra Boltasseva, Vladimir M. Shalaev, Zhaxylyk A. Kudyshev","submitted_at":"2019-10-28T15:09:36Z","abstract_excerpt":"With the emergence of new photonic and plasmonic materials with optimized properties as well as advanced nanofabrication techniques, nanophotonic devices are now capable of providing solutions to global challenges in energy conversion, information technologies, chemical/biological sensing, space exploration, quantum computing, and secure communication. Addressing grand challenges poses inherently complex, multi-disciplinary problems with a manifold of stringent constraints in conjunction with the required system's performance. Conventional optimization techniques have long been utilized as pow"},"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":"1910.12741","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.optics","submitted_at":"2019-10-28T15:09:36Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"c0defe861f7031379c33c59e0fdc6f59c5be214fa095121319185bfd0c4c7d39","abstract_canon_sha256":"167dfd503d779b5045d44105cb9f832a3d82554e0e5045cdd776016f3449f46a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:16:41.480433Z","signature_b64":"RyfCJExIzgNrsgNrvSGv7OHatXUlEiZYHER6fZDoyjcLSwEG58gwk/DUwv9hIw3qYzlaoFvnPw1d7rM+bNPtBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"45cf1a549d029d2b5cc6a68a40d942ce85dc2e7ed878a3a5423d11d05758cfcd","last_reissued_at":"2026-07-05T01:16:41.479957Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:16:41.479957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Machine-Learning-Assisted Metasurface Design for High-Efficiency Thermal Emitter Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"physics.optics","authors_text":"Alexander V. Kildishev, Alexandra Boltasseva, Vladimir M. Shalaev, Zhaxylyk A. Kudyshev","submitted_at":"2019-10-28T15:09:36Z","abstract_excerpt":"With the emergence of new photonic and plasmonic materials with optimized properties as well as advanced nanofabrication techniques, nanophotonic devices are now capable of providing solutions to global challenges in energy conversion, information technologies, chemical/biological sensing, space exploration, quantum computing, and secure communication. Addressing grand challenges poses inherently complex, multi-disciplinary problems with a manifold of stringent constraints in conjunction with the required system's performance. Conventional optimization techniques have long been utilized as pow"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.12741","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1910.12741/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"1910.12741","created_at":"2026-07-05T01:16:41.480040+00:00"},{"alias_kind":"arxiv_version","alias_value":"1910.12741v2","created_at":"2026-07-05T01:16:41.480040+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.12741","created_at":"2026-07-05T01:16:41.480040+00:00"},{"alias_kind":"pith_short_12","alias_value":"IXHRUVE5AKOS","created_at":"2026-07-05T01:16:41.480040+00:00"},{"alias_kind":"pith_short_16","alias_value":"IXHRUVE5AKOSWXGG","created_at":"2026-07-05T01:16:41.480040+00:00"},{"alias_kind":"pith_short_8","alias_value":"IXHRUVE5","created_at":"2026-07-05T01:16:41.480040+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/IXHRUVE5AKOSWXGGU2FEBWKCZ2","json":"https://pith.science/pith/IXHRUVE5AKOSWXGGU2FEBWKCZ2.json","graph_json":"https://pith.science/api/pith-number/IXHRUVE5AKOSWXGGU2FEBWKCZ2/graph.json","events_json":"https://pith.science/api/pith-number/IXHRUVE5AKOSWXGGU2FEBWKCZ2/events.json","paper":"https://pith.science/paper/IXHRUVE5"},"agent_actions":{"view_html":"https://pith.science/pith/IXHRUVE5AKOSWXGGU2FEBWKCZ2","download_json":"https://pith.science/pith/IXHRUVE5AKOSWXGGU2FEBWKCZ2.json","view_paper":"https://pith.science/paper/IXHRUVE5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1910.12741&json=true","fetch_graph":"https://pith.science/api/pith-number/IXHRUVE5AKOSWXGGU2FEBWKCZ2/graph.json","fetch_events":"https://pith.science/api/pith-number/IXHRUVE5AKOSWXGGU2FEBWKCZ2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IXHRUVE5AKOSWXGGU2FEBWKCZ2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IXHRUVE5AKOSWXGGU2FEBWKCZ2/action/storage_attestation","attest_author":"https://pith.science/pith/IXHRUVE5AKOSWXGGU2FEBWKCZ2/action/author_attestation","sign_citation":"https://pith.science/pith/IXHRUVE5AKOSWXGGU2FEBWKCZ2/action/citation_signature","submit_replication":"https://pith.science/pith/IXHRUVE5AKOSWXGGU2FEBWKCZ2/action/replication_record"}},"created_at":"2026-07-05T01:16:41.480040+00:00","updated_at":"2026-07-05T01:16:41.480040+00:00"}