{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:Z4R7COY6AJFRRACW5LD6VDZC33","short_pith_number":"pith:Z4R7COY6","schema_version":"1.0","canonical_sha256":"cf23f13b1e024b188056eac7ea8f22dec04c447d20676e30530bc40f816ccd26","source":{"kind":"arxiv","id":"2602.15762","version":2},"attestation_state":"computed","paper":{"title":"PRISM: Photonics-Informed Inverse Lithography for Manufacturable Inverse-Designed Photonic Integrated Circuits","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.ET"],"primary_cat":"physics.optics","authors_text":"Haoyu Yang, Hongjian Zhou, Jiaqi Gu, Nicholas Gangi, Rena Huang, Tianle Xu","submitted_at":"2026-02-17T17:48:44Z","abstract_excerpt":"Recent advances in photonic inverse design have demonstrated the ability to automatically synthesize compact, high-performance photonic components that surpass conventional, hand-designed structures, offering a promising path toward scalable and functionality-rich photonic hardware. However, the practical deployment of inverse-designed PICs is bottlenecked by manufacturability: their irregular, subwavelength geometries are highly sensitive to fabrication variations, leading to large performance degradation, low yield, and a persistent gap between simulated optimality and fabricated performance"},"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":"2602.15762","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.optics","submitted_at":"2026-02-17T17:48:44Z","cross_cats_sorted":["cs.ET"],"title_canon_sha256":"30e8218cf18813f4913e1a1447707622c519e26ac27e18d3e3ec3d3cdb8ff54f","abstract_canon_sha256":"30c33bd5272d5fb8f6ccbf154d538ed45bb49ecb5ea270a9f27717b6d3103fbe"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-03T01:05:10.743737Z","signature_b64":"nwMy1o9ILr6E2ksJ3vi/t4GEO3YwgrO3Wk3GlDrl4DfiHPiiILtf/GsyeepImJuV0Ag/7S/m4XF0cO36lFC1DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cf23f13b1e024b188056eac7ea8f22dec04c447d20676e30530bc40f816ccd26","last_reissued_at":"2026-06-03T01:05:10.743294Z","signature_status":"signed_v1","first_computed_at":"2026-06-03T01:05:10.743294Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PRISM: Photonics-Informed Inverse Lithography for Manufacturable Inverse-Designed Photonic Integrated Circuits","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.ET"],"primary_cat":"physics.optics","authors_text":"Haoyu Yang, Hongjian Zhou, Jiaqi Gu, Nicholas Gangi, Rena Huang, Tianle Xu","submitted_at":"2026-02-17T17:48:44Z","abstract_excerpt":"Recent advances in photonic inverse design have demonstrated the ability to automatically synthesize compact, high-performance photonic components that surpass conventional, hand-designed structures, offering a promising path toward scalable and functionality-rich photonic hardware. However, the practical deployment of inverse-designed PICs is bottlenecked by manufacturability: their irregular, subwavelength geometries are highly sensitive to fabrication variations, leading to large performance degradation, low yield, and a persistent gap between simulated optimality and fabricated performance"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.15762","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/2602.15762/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":"2602.15762","created_at":"2026-06-03T01:05:10.743366+00:00"},{"alias_kind":"arxiv_version","alias_value":"2602.15762v2","created_at":"2026-06-03T01:05:10.743366+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.15762","created_at":"2026-06-03T01:05:10.743366+00:00"},{"alias_kind":"pith_short_12","alias_value":"Z4R7COY6AJFR","created_at":"2026-06-03T01:05:10.743366+00:00"},{"alias_kind":"pith_short_16","alias_value":"Z4R7COY6AJFRRACW","created_at":"2026-06-03T01:05:10.743366+00:00"},{"alias_kind":"pith_short_8","alias_value":"Z4R7COY6","created_at":"2026-06-03T01:05:10.743366+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2604.15493","citing_title":"End-to-End Physical Design Automation Flow for Yield-Optimized Inverse-Designed Large-Scale Electronic-Photonic Integrated Circuits","ref_index":8,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Z4R7COY6AJFRRACW5LD6VDZC33","json":"https://pith.science/pith/Z4R7COY6AJFRRACW5LD6VDZC33.json","graph_json":"https://pith.science/api/pith-number/Z4R7COY6AJFRRACW5LD6VDZC33/graph.json","events_json":"https://pith.science/api/pith-number/Z4R7COY6AJFRRACW5LD6VDZC33/events.json","paper":"https://pith.science/paper/Z4R7COY6"},"agent_actions":{"view_html":"https://pith.science/pith/Z4R7COY6AJFRRACW5LD6VDZC33","download_json":"https://pith.science/pith/Z4R7COY6AJFRRACW5LD6VDZC33.json","view_paper":"https://pith.science/paper/Z4R7COY6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2602.15762&json=true","fetch_graph":"https://pith.science/api/pith-number/Z4R7COY6AJFRRACW5LD6VDZC33/graph.json","fetch_events":"https://pith.science/api/pith-number/Z4R7COY6AJFRRACW5LD6VDZC33/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Z4R7COY6AJFRRACW5LD6VDZC33/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Z4R7COY6AJFRRACW5LD6VDZC33/action/storage_attestation","attest_author":"https://pith.science/pith/Z4R7COY6AJFRRACW5LD6VDZC33/action/author_attestation","sign_citation":"https://pith.science/pith/Z4R7COY6AJFRRACW5LD6VDZC33/action/citation_signature","submit_replication":"https://pith.science/pith/Z4R7COY6AJFRRACW5LD6VDZC33/action/replication_record"}},"created_at":"2026-06-03T01:05:10.743366+00:00","updated_at":"2026-06-03T01:05:10.743366+00:00"}