{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:KERQLOVFBH366TD5IVHIEOHH3W","short_pith_number":"pith:KERQLOVF","canonical_record":{"source":{"id":"2309.13186","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.optics","submitted_at":"2023-09-22T21:24:50Z","cross_cats_sorted":["cs.ET"],"title_canon_sha256":"90d196e91140d11b426902c7f80bef9a6751d924f2cdae31d0b14ae6e401b65b","abstract_canon_sha256":"0f0a3649db537d23eb9fcd33c9911bac18a69db773bd2eb4d6ba2277e0c0c2b8"},"schema_version":"1.0"},"canonical_sha256":"512305baa509f7ef4c7d454e8238e7ddb91d891a58c5b579b01ff4919d2dcd90","source":{"kind":"arxiv","id":"2309.13186","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.13186","created_at":"2026-07-05T06:53:48Z"},{"alias_kind":"arxiv_version","alias_value":"2309.13186v1","created_at":"2026-07-05T06:53:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.13186","created_at":"2026-07-05T06:53:48Z"},{"alias_kind":"pith_short_12","alias_value":"KERQLOVFBH36","created_at":"2026-07-05T06:53:48Z"},{"alias_kind":"pith_short_16","alias_value":"KERQLOVFBH366TD5","created_at":"2026-07-05T06:53:48Z"},{"alias_kind":"pith_short_8","alias_value":"KERQLOVF","created_at":"2026-07-05T06:53:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:KERQLOVFBH366TD5IVHIEOHH3W","target":"record","payload":{"canonical_record":{"source":{"id":"2309.13186","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.optics","submitted_at":"2023-09-22T21:24:50Z","cross_cats_sorted":["cs.ET"],"title_canon_sha256":"90d196e91140d11b426902c7f80bef9a6751d924f2cdae31d0b14ae6e401b65b","abstract_canon_sha256":"0f0a3649db537d23eb9fcd33c9911bac18a69db773bd2eb4d6ba2277e0c0c2b8"},"schema_version":"1.0"},"canonical_sha256":"512305baa509f7ef4c7d454e8238e7ddb91d891a58c5b579b01ff4919d2dcd90","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:53:48.458293Z","signature_b64":"YMUCBK/b57q3YCr2ArIjl+cRTx+5sVmTVDZ1NUGwPBhLC/T+KbaNzRC8nHjyftGGFSG1X5hKcg6kU7NqVdjHAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"512305baa509f7ef4c7d454e8238e7ddb91d891a58c5b579b01ff4919d2dcd90","last_reissued_at":"2026-07-05T06:53:48.457880Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:53:48.457880Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.13186","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:53:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dQ2ehyWkXlmqNRcFngzy8QItJ+GP746gCBI5xJipDHvKoLhWKWEvOsIiLtbhttffZ+xBleSENCoVZw8OIsf1Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-17T02:19:52.131596Z"},"content_sha256":"6642566d886ba56f36c03d70dfcddd2cb3f096b63943a89d9b5c4969df9ef570","schema_version":"1.0","event_id":"sha256:6642566d886ba56f36c03d70dfcddd2cb3f096b63943a89d9b5c4969df9ef570"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:KERQLOVFBH366TD5IVHIEOHH3W","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning with Photonic Neural Cellular Automata","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.ET"],"primary_cat":"physics.optics","authors_text":"Alireza Marandi, Christian R. Leefmans, Gordon H.Y. Li, James Williams, Midya Parto, Robert M. Gray","submitted_at":"2023-09-22T21:24:50Z","abstract_excerpt":"Rapid advancements in deep learning over the past decade have fueled an insatiable demand for efficient and scalable hardware. Photonics offers a promising solution by leveraging the unique properties of light. However, conventional neural network architectures, which typically require dense programmable connections, pose several practical challenges for photonic realizations. To overcome these limitations, we propose and experimentally demonstrate Photonic Neural Cellular Automata (PNCA) for photonic deep learning with sparse connectivity. PNCA harnesses the speed and interconnectivity of pho"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.13186","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2309.13186/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":"2026-07-05T06:53:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eqv8HYQaZ4mSCNI6C8PKIw59J4+vAnStxPGsDaFqKKcFQTDyB9GJvivlapMPQNqh6LKOaSNwfIGCLA2n65/GDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-17T02:19:52.131964Z"},"content_sha256":"fb574821231c963fe2f5c41b2c9d16854e0c35773797fb0c8726d1f3fad49cc2","schema_version":"1.0","event_id":"sha256:fb574821231c963fe2f5c41b2c9d16854e0c35773797fb0c8726d1f3fad49cc2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KERQLOVFBH366TD5IVHIEOHH3W/bundle.json","state_url":"https://pith.science/pith/KERQLOVFBH366TD5IVHIEOHH3W/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KERQLOVFBH366TD5IVHIEOHH3W/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":"2026-07-17T02:19:52Z","links":{"resolver":"https://pith.science/pith/KERQLOVFBH366TD5IVHIEOHH3W","bundle":"https://pith.science/pith/KERQLOVFBH366TD5IVHIEOHH3W/bundle.json","state":"https://pith.science/pith/KERQLOVFBH366TD5IVHIEOHH3W/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KERQLOVFBH366TD5IVHIEOHH3W/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KERQLOVFBH366TD5IVHIEOHH3W","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":"0f0a3649db537d23eb9fcd33c9911bac18a69db773bd2eb4d6ba2277e0c0c2b8","cross_cats_sorted":["cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.optics","submitted_at":"2023-09-22T21:24:50Z","title_canon_sha256":"90d196e91140d11b426902c7f80bef9a6751d924f2cdae31d0b14ae6e401b65b"},"schema_version":"1.0","source":{"id":"2309.13186","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.13186","created_at":"2026-07-05T06:53:48Z"},{"alias_kind":"arxiv_version","alias_value":"2309.13186v1","created_at":"2026-07-05T06:53:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.13186","created_at":"2026-07-05T06:53:48Z"},{"alias_kind":"pith_short_12","alias_value":"KERQLOVFBH36","created_at":"2026-07-05T06:53:48Z"},{"alias_kind":"pith_short_16","alias_value":"KERQLOVFBH366TD5","created_at":"2026-07-05T06:53:48Z"},{"alias_kind":"pith_short_8","alias_value":"KERQLOVF","created_at":"2026-07-05T06:53:48Z"}],"graph_snapshots":[{"event_id":"sha256:fb574821231c963fe2f5c41b2c9d16854e0c35773797fb0c8726d1f3fad49cc2","target":"graph","created_at":"2026-07-05T06:53:48Z","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/2309.13186/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Rapid advancements in deep learning over the past decade have fueled an insatiable demand for efficient and scalable hardware. Photonics offers a promising solution by leveraging the unique properties of light. However, conventional neural network architectures, which typically require dense programmable connections, pose several practical challenges for photonic realizations. To overcome these limitations, we propose and experimentally demonstrate Photonic Neural Cellular Automata (PNCA) for photonic deep learning with sparse connectivity. PNCA harnesses the speed and interconnectivity of pho","authors_text":"Alireza Marandi, Christian R. Leefmans, Gordon H.Y. Li, James Williams, Midya Parto, Robert M. Gray","cross_cats":["cs.ET"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.optics","submitted_at":"2023-09-22T21:24:50Z","title":"Deep Learning with Photonic Neural Cellular Automata"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.13186","kind":"arxiv","version":1},"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":"sha256:6642566d886ba56f36c03d70dfcddd2cb3f096b63943a89d9b5c4969df9ef570","target":"record","created_at":"2026-07-05T06:53:48Z","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":"0f0a3649db537d23eb9fcd33c9911bac18a69db773bd2eb4d6ba2277e0c0c2b8","cross_cats_sorted":["cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.optics","submitted_at":"2023-09-22T21:24:50Z","title_canon_sha256":"90d196e91140d11b426902c7f80bef9a6751d924f2cdae31d0b14ae6e401b65b"},"schema_version":"1.0","source":{"id":"2309.13186","kind":"arxiv","version":1}},"canonical_sha256":"512305baa509f7ef4c7d454e8238e7ddb91d891a58c5b579b01ff4919d2dcd90","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"512305baa509f7ef4c7d454e8238e7ddb91d891a58c5b579b01ff4919d2dcd90","first_computed_at":"2026-07-05T06:53:48.457880Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:53:48.457880Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YMUCBK/b57q3YCr2ArIjl+cRTx+5sVmTVDZ1NUGwPBhLC/T+KbaNzRC8nHjyftGGFSG1X5hKcg6kU7NqVdjHAA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:53:48.458293Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.13186","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6642566d886ba56f36c03d70dfcddd2cb3f096b63943a89d9b5c4969df9ef570","sha256:fb574821231c963fe2f5c41b2c9d16854e0c35773797fb0c8726d1f3fad49cc2"],"state_sha256":"f9d20747ed0df0c4b61b0fdc15475515fb9891dddd8d0186cfcc1a8a2c782fae"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s+xO3gjgTzr6O6cGLXvccqeWU0BZSfpVL0XSGvgNV44HgaUqxwVy8FxG0AGYf9LI0yFBpZoJ5DzlTQghsaBrAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-17T02:19:52.134041Z","bundle_sha256":"34e141939a83a5fe937fe3a312ac0a66a85417b1eea546d8df970f2c2bd47518"}}