{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:QJFCYQZFZTPJTRL6ERBLYTRQFR","short_pith_number":"pith:QJFCYQZF","canonical_record":{"source":{"id":"2310.01234","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"physics.optics","submitted_at":"2023-10-02T14:23:50Z","cross_cats_sorted":[],"title_canon_sha256":"fa3caab7d7b2fa62698998d0bc661e8b7dafc6152f26a6d4069912c24c2afc8f","abstract_canon_sha256":"1659e6b56b160a688b49578988ebecc555ec3e8104a0a6f58116d396a4a8c9f5"},"schema_version":"1.0"},"canonical_sha256":"824a2c4325ccde99c57e2442bc4e302c7e65375e1b3811d887c845f0e5b22162","source":{"kind":"arxiv","id":"2310.01234","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.01234","created_at":"2026-07-05T07:12:54Z"},{"alias_kind":"arxiv_version","alias_value":"2310.01234v3","created_at":"2026-07-05T07:12:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.01234","created_at":"2026-07-05T07:12:54Z"},{"alias_kind":"pith_short_12","alias_value":"QJFCYQZFZTPJ","created_at":"2026-07-05T07:12:54Z"},{"alias_kind":"pith_short_16","alias_value":"QJFCYQZFZTPJTRL6","created_at":"2026-07-05T07:12:54Z"},{"alias_kind":"pith_short_8","alias_value":"QJFCYQZF","created_at":"2026-07-05T07:12:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:QJFCYQZFZTPJTRL6ERBLYTRQFR","target":"record","payload":{"canonical_record":{"source":{"id":"2310.01234","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"physics.optics","submitted_at":"2023-10-02T14:23:50Z","cross_cats_sorted":[],"title_canon_sha256":"fa3caab7d7b2fa62698998d0bc661e8b7dafc6152f26a6d4069912c24c2afc8f","abstract_canon_sha256":"1659e6b56b160a688b49578988ebecc555ec3e8104a0a6f58116d396a4a8c9f5"},"schema_version":"1.0"},"canonical_sha256":"824a2c4325ccde99c57e2442bc4e302c7e65375e1b3811d887c845f0e5b22162","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:12:54.007996Z","signature_b64":"pZwoJ8Oxn4PyK/sqOc/YO6umw2PxrGgf2CUoVsyEx0ev64u5GuH+RPAt5P3dZSIYUkRD4F/DGk/gJbu7qdz6AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"824a2c4325ccde99c57e2442bc4e302c7e65375e1b3811d887c845f0e5b22162","last_reissued_at":"2026-07-05T07:12:54.007493Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:12:54.007493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.01234","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:12:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"09oPInTCagq+XBPxhiYK6+4GOTEmgBw2pTCdEp39CzX4O3W700XN69mQdw8vHv3HfTwBO4NTylkNTQVD4gpzDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T03:39:24.915136Z"},"content_sha256":"e4e6d41b9b36dc06eb4ad526da0ad1b7e7c367a6b12253c8770fff7d66e924ae","schema_version":"1.0","event_id":"sha256:e4e6d41b9b36dc06eb4ad526da0ad1b7e7c367a6b12253c8770fff7d66e924ae"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:QJFCYQZFZTPJTRL6ERBLYTRQFR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Back-Propagation Optimization and Multi-Valued Artificial Neural Networks for Highly Vivid Structural Color Filter Metasurfaces","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"physics.optics","authors_text":"Arthur Clini de Souza, Badre Kerzabi, David Grosso, Hugo Enrique Hernandez-Figueroa, Mahmoud Elsawy, Marco Abbarchi, St\\'ephane Lanteri","submitted_at":"2023-10-02T14:23:50Z","abstract_excerpt":"We introduce a novel technique for designing color filter metasurfaces using a data-driven approach based on deep learning. Our innovative approach employs inverse design principles to identify highly efficient designs that outperform all the configurations in the dataset, which consists of 585 distinct geometries solely. By combining Multi-Valued Artificial Neural Networks and back-propagation optimization, we overcome the limitations of previous approaches, such as poor performance due to extrapolation and undesired local minima. Consequently, we successfully create reliable and highly effic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.01234","kind":"arxiv","version":3},"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/2310.01234/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:12:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qJYtJDGLoZ6afW2p0HeKSQRI4ja38rmjHgMQgswTJvshyyFLGXGsImaQhnEWLM7hi7fV3j3cZX29b8xfoM1XAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T03:39:24.915843Z"},"content_sha256":"482e0d5f2eecd259c66f90faafa45680c4304567767e90972e13c550cca236d0","schema_version":"1.0","event_id":"sha256:482e0d5f2eecd259c66f90faafa45680c4304567767e90972e13c550cca236d0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QJFCYQZFZTPJTRL6ERBLYTRQFR/bundle.json","state_url":"https://pith.science/pith/QJFCYQZFZTPJTRL6ERBLYTRQFR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QJFCYQZFZTPJTRL6ERBLYTRQFR/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":"2026-08-09T03:39:24Z","links":{"resolver":"https://pith.science/pith/QJFCYQZFZTPJTRL6ERBLYTRQFR","bundle":"https://pith.science/pith/QJFCYQZFZTPJTRL6ERBLYTRQFR/bundle.json","state":"https://pith.science/pith/QJFCYQZFZTPJTRL6ERBLYTRQFR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QJFCYQZFZTPJTRL6ERBLYTRQFR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:QJFCYQZFZTPJTRL6ERBLYTRQFR","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":"1659e6b56b160a688b49578988ebecc555ec3e8104a0a6f58116d396a4a8c9f5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"physics.optics","submitted_at":"2023-10-02T14:23:50Z","title_canon_sha256":"fa3caab7d7b2fa62698998d0bc661e8b7dafc6152f26a6d4069912c24c2afc8f"},"schema_version":"1.0","source":{"id":"2310.01234","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.01234","created_at":"2026-07-05T07:12:54Z"},{"alias_kind":"arxiv_version","alias_value":"2310.01234v3","created_at":"2026-07-05T07:12:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.01234","created_at":"2026-07-05T07:12:54Z"},{"alias_kind":"pith_short_12","alias_value":"QJFCYQZFZTPJ","created_at":"2026-07-05T07:12:54Z"},{"alias_kind":"pith_short_16","alias_value":"QJFCYQZFZTPJTRL6","created_at":"2026-07-05T07:12:54Z"},{"alias_kind":"pith_short_8","alias_value":"QJFCYQZF","created_at":"2026-07-05T07:12:54Z"}],"graph_snapshots":[{"event_id":"sha256:482e0d5f2eecd259c66f90faafa45680c4304567767e90972e13c550cca236d0","target":"graph","created_at":"2026-07-05T07:12:54Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2310.01234/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce a novel technique for designing color filter metasurfaces using a data-driven approach based on deep learning. Our innovative approach employs inverse design principles to identify highly efficient designs that outperform all the configurations in the dataset, which consists of 585 distinct geometries solely. By combining Multi-Valued Artificial Neural Networks and back-propagation optimization, we overcome the limitations of previous approaches, such as poor performance due to extrapolation and undesired local minima. Consequently, we successfully create reliable and highly effic","authors_text":"Arthur Clini de Souza, Badre Kerzabi, David Grosso, Hugo Enrique Hernandez-Figueroa, Mahmoud Elsawy, Marco Abbarchi, St\\'ephane Lanteri","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"physics.optics","submitted_at":"2023-10-02T14:23:50Z","title":"Back-Propagation Optimization and Multi-Valued Artificial Neural Networks for Highly Vivid Structural Color Filter Metasurfaces"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.01234","kind":"arxiv","version":3},"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:e4e6d41b9b36dc06eb4ad526da0ad1b7e7c367a6b12253c8770fff7d66e924ae","target":"record","created_at":"2026-07-05T07:12:54Z","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":"1659e6b56b160a688b49578988ebecc555ec3e8104a0a6f58116d396a4a8c9f5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"physics.optics","submitted_at":"2023-10-02T14:23:50Z","title_canon_sha256":"fa3caab7d7b2fa62698998d0bc661e8b7dafc6152f26a6d4069912c24c2afc8f"},"schema_version":"1.0","source":{"id":"2310.01234","kind":"arxiv","version":3}},"canonical_sha256":"824a2c4325ccde99c57e2442bc4e302c7e65375e1b3811d887c845f0e5b22162","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"824a2c4325ccde99c57e2442bc4e302c7e65375e1b3811d887c845f0e5b22162","first_computed_at":"2026-07-05T07:12:54.007493Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:12:54.007493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pZwoJ8Oxn4PyK/sqOc/YO6umw2PxrGgf2CUoVsyEx0ev64u5GuH+RPAt5P3dZSIYUkRD4F/DGk/gJbu7qdz6AA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:12:54.007996Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.01234","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e4e6d41b9b36dc06eb4ad526da0ad1b7e7c367a6b12253c8770fff7d66e924ae","sha256:482e0d5f2eecd259c66f90faafa45680c4304567767e90972e13c550cca236d0"],"state_sha256":"fd70c40c947d4b990355679a2c4ccfb26a36cbbcfce326662fcd8c3167a37511"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iLYp3sGnSrb0Qf/v/tx+Be+/szNfOhDrx2JaiUpwZuKNnegmsTyq1ouy3QjwCASLqVykbL+nt9TiVFQJpDY/CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T03:39:24.921705Z","bundle_sha256":"f24de26d65342759c71c94722b88d97711652a28d058143f7f237c5a013c5590"}}