{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:JHO6IR6QGVYJ754YCY33WKZMRT","short_pith_number":"pith:JHO6IR6Q","canonical_record":{"source":{"id":"1811.12436","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.optics","submitted_at":"2018-11-29T19:14:13Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ef60386025047e13263ebc01ab94ac6b2c5924f7be084d897da23e1775fe6a53","abstract_canon_sha256":"e7af40f5b73e2f383f643678c7733c62acfd86502ddacb0a256381f429be28eb"},"schema_version":"1.0"},"canonical_sha256":"49dde447d035709ff7981637bb2b2c8cdddde86357a3bf3b0e5e10a0a3f087a0","source":{"kind":"arxiv","id":"1811.12436","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.12436","created_at":"2026-05-17T23:39:57Z"},{"alias_kind":"arxiv_version","alias_value":"1811.12436v2","created_at":"2026-05-17T23:39:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.12436","created_at":"2026-05-17T23:39:57Z"},{"alias_kind":"pith_short_12","alias_value":"JHO6IR6QGVYJ","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JHO6IR6QGVYJ754Y","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JHO6IR6Q","created_at":"2026-05-18T12:32:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:JHO6IR6QGVYJ754YCY33WKZMRT","target":"record","payload":{"canonical_record":{"source":{"id":"1811.12436","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.optics","submitted_at":"2018-11-29T19:14:13Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ef60386025047e13263ebc01ab94ac6b2c5924f7be084d897da23e1775fe6a53","abstract_canon_sha256":"e7af40f5b73e2f383f643678c7733c62acfd86502ddacb0a256381f429be28eb"},"schema_version":"1.0"},"canonical_sha256":"49dde447d035709ff7981637bb2b2c8cdddde86357a3bf3b0e5e10a0a3f087a0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:39:57.780730Z","signature_b64":"H1ePVK6G/vPAKSG/ywjI5yuUOjfJBohGaGC1Rxqyx1XtaLqNukievE6G6cczQNA7n/AbkWZW+mJlNnobRQv4Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"49dde447d035709ff7981637bb2b2c8cdddde86357a3bf3b0e5e10a0a3f087a0","last_reissued_at":"2026-05-17T23:39:57.780175Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:39:57.780175Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.12436","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:39:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EEwGH+FvYqkk0jnlWF5lDKVG1Irf565KyQAw4fi6QEs7/s1rolEyuw92qAcZCphmRD1DNOVbqQI9WqaFfvKqDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T14:48:03.591739Z"},"content_sha256":"eb36d5728c241fe3cd0f63db411523302d69e3ec8750eec7eb43b20deaf1d3e8","schema_version":"1.0","event_id":"sha256:eb36d5728c241fe3cd0f63db411523302d69e3ec8750eec7eb43b20deaf1d3e8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:JHO6IR6QGVYJ754YCY33WKZMRT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Freeform Diffractive Metagrating Design Based on Generative Adversarial Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"physics.optics","authors_text":"David Sell, Jason Hickey, Jianji Yang, Jiaqi Jiang, Jonathan A. Fan, Stephan Hoyer","submitted_at":"2018-11-29T19:14:13Z","abstract_excerpt":"A key challenge in metasurface design is the development of algorithms that can effectively and efficiently produce high performance devices. Design methods based on iterative optimization can push the performance limits of metasurfaces, but they require extensive computational resources that limit their implementation to small numbers of microscale devices. We show that generative neural networks can train from images of periodic, topology-optimized metagratings to produce high-efficiency, topologically complex devices operating over a broad range of deflection angles and wavelengths. Further"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.12436","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":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:39:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pIwhGmmrU/6lrOFuDEFcPk+4UXtzj04f5NZ46+hDMD/GubmjKjuBwjUt75JnmBuzhQvxaVR1hUOL0VC25g16CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T14:48:03.592342Z"},"content_sha256":"cef7133d0d5d54d655a1480e082238f9d16ee3f960b95a4186347f66ea779d78","schema_version":"1.0","event_id":"sha256:cef7133d0d5d54d655a1480e082238f9d16ee3f960b95a4186347f66ea779d78"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JHO6IR6QGVYJ754YCY33WKZMRT/bundle.json","state_url":"https://pith.science/pith/JHO6IR6QGVYJ754YCY33WKZMRT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JHO6IR6QGVYJ754YCY33WKZMRT/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-26T14:48:03Z","links":{"resolver":"https://pith.science/pith/JHO6IR6QGVYJ754YCY33WKZMRT","bundle":"https://pith.science/pith/JHO6IR6QGVYJ754YCY33WKZMRT/bundle.json","state":"https://pith.science/pith/JHO6IR6QGVYJ754YCY33WKZMRT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JHO6IR6QGVYJ754YCY33WKZMRT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:JHO6IR6QGVYJ754YCY33WKZMRT","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":"e7af40f5b73e2f383f643678c7733c62acfd86502ddacb0a256381f429be28eb","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.optics","submitted_at":"2018-11-29T19:14:13Z","title_canon_sha256":"ef60386025047e13263ebc01ab94ac6b2c5924f7be084d897da23e1775fe6a53"},"schema_version":"1.0","source":{"id":"1811.12436","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.12436","created_at":"2026-05-17T23:39:57Z"},{"alias_kind":"arxiv_version","alias_value":"1811.12436v2","created_at":"2026-05-17T23:39:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.12436","created_at":"2026-05-17T23:39:57Z"},{"alias_kind":"pith_short_12","alias_value":"JHO6IR6QGVYJ","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JHO6IR6QGVYJ754Y","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JHO6IR6Q","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:cef7133d0d5d54d655a1480e082238f9d16ee3f960b95a4186347f66ea779d78","target":"graph","created_at":"2026-05-17T23:39:57Z","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 key challenge in metasurface design is the development of algorithms that can effectively and efficiently produce high performance devices. Design methods based on iterative optimization can push the performance limits of metasurfaces, but they require extensive computational resources that limit their implementation to small numbers of microscale devices. We show that generative neural networks can train from images of periodic, topology-optimized metagratings to produce high-efficiency, topologically complex devices operating over a broad range of deflection angles and wavelengths. Further","authors_text":"David Sell, Jason Hickey, Jianji Yang, Jiaqi Jiang, Jonathan A. Fan, Stephan Hoyer","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.optics","submitted_at":"2018-11-29T19:14:13Z","title":"Freeform Diffractive Metagrating Design Based on Generative Adversarial Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.12436","kind":"arxiv","version":2},"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:eb36d5728c241fe3cd0f63db411523302d69e3ec8750eec7eb43b20deaf1d3e8","target":"record","created_at":"2026-05-17T23:39:57Z","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":"e7af40f5b73e2f383f643678c7733c62acfd86502ddacb0a256381f429be28eb","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.optics","submitted_at":"2018-11-29T19:14:13Z","title_canon_sha256":"ef60386025047e13263ebc01ab94ac6b2c5924f7be084d897da23e1775fe6a53"},"schema_version":"1.0","source":{"id":"1811.12436","kind":"arxiv","version":2}},"canonical_sha256":"49dde447d035709ff7981637bb2b2c8cdddde86357a3bf3b0e5e10a0a3f087a0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"49dde447d035709ff7981637bb2b2c8cdddde86357a3bf3b0e5e10a0a3f087a0","first_computed_at":"2026-05-17T23:39:57.780175Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:39:57.780175Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H1ePVK6G/vPAKSG/ywjI5yuUOjfJBohGaGC1Rxqyx1XtaLqNukievE6G6cczQNA7n/AbkWZW+mJlNnobRQv4Dw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:39:57.780730Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.12436","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb36d5728c241fe3cd0f63db411523302d69e3ec8750eec7eb43b20deaf1d3e8","sha256:cef7133d0d5d54d655a1480e082238f9d16ee3f960b95a4186347f66ea779d78"],"state_sha256":"c08263ad66818828e7b99ba1bc185671fed535489eefa0264cca676273951bb3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nqpjryky+6GEoW0Q6cHVq5YVaF8ZhBH2Pyf3k4e0sWZT1BoGv0934EYqP1GbzHuy8z2OFxHJeu+ruDubPTxlDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T14:48:03.595861Z","bundle_sha256":"5938aad7ae6f468ef91c35f44644f388d932f91423401ad47798024375606064"}}