{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GO7M6OFSFWMXMLLTDQ2W7WS7LH","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":"1f47c21d9a83a633a5c97ac5374eb2f81a9222219b92d995fa174b96de2611f6","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-11T19:15:06Z","title_canon_sha256":"95524fe2e15d3cd112f1b85980bc86acebd2c9b3168451174fc0a29c6a467857"},"schema_version":"1.0","source":{"id":"2508.08421","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.08421","created_at":"2026-07-05T11:52:27Z"},{"alias_kind":"arxiv_version","alias_value":"2508.08421v1","created_at":"2026-07-05T11:52:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.08421","created_at":"2026-07-05T11:52:27Z"},{"alias_kind":"pith_short_12","alias_value":"GO7M6OFSFWMX","created_at":"2026-07-05T11:52:27Z"},{"alias_kind":"pith_short_16","alias_value":"GO7M6OFSFWMXMLLT","created_at":"2026-07-05T11:52:27Z"},{"alias_kind":"pith_short_8","alias_value":"GO7M6OFS","created_at":"2026-07-05T11:52:27Z"}],"graph_snapshots":[{"event_id":"sha256:c8f3e64c99f4cdc52f5ebdfb51da50372ca529e0e1b3e0a312e2c4c9b93fb05e","target":"graph","created_at":"2026-07-05T11:52:27Z","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/2508.08421/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Hybrid Optical Neural Networks (ONNs, typically consisting of an optical frontend and a digital backend) offer an energy-efficient alternative to fully digital deep networks for real-time, power-constrained systems. However, their adoption is limited by two main challenges: the accuracy gap compared to large-scale networks during training, and discrepancies between simulated and fabricated systems that further degrade accuracy. While previous work has proposed end-to-end optimizations for specific datasets (e.g., MNIST) and optical systems, these approaches typically lack generalization across","authors_text":"Arka Majumdar, Eli Shlizerman, Jinlin Xiang, Minho Choi, Yubo Zhang, Zhihao Zhou","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-11T19:15:06Z","title":"Neural Tangent Knowledge Distillation for Optical Convolutional Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.08421","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":"sha256:93d779d035afafc80d7b0b6423dc5a8d7c8c01191768275ca462c711621f3198","target":"record","created_at":"2026-07-05T11:52:27Z","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":"1f47c21d9a83a633a5c97ac5374eb2f81a9222219b92d995fa174b96de2611f6","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-11T19:15:06Z","title_canon_sha256":"95524fe2e15d3cd112f1b85980bc86acebd2c9b3168451174fc0a29c6a467857"},"schema_version":"1.0","source":{"id":"2508.08421","kind":"arxiv","version":1}},"canonical_sha256":"33becf38b22d99762d731c356fda5f59f97f0f5b5159190d86957e8d59aa3fd2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"33becf38b22d99762d731c356fda5f59f97f0f5b5159190d86957e8d59aa3fd2","first_computed_at":"2026-07-05T11:52:27.938113Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:52:27.938113Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RKd1MMvzPSaG6gz1o6tEVc0kFu9mYzucY60iYDLBiRWB+QrQKvDx64JpsxtnSRTLL33UKY0bZ4O7UM39rzOnAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:52:27.938647Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.08421","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:93d779d035afafc80d7b0b6423dc5a8d7c8c01191768275ca462c711621f3198","sha256:c8f3e64c99f4cdc52f5ebdfb51da50372ca529e0e1b3e0a312e2c4c9b93fb05e"],"state_sha256":"70e7911278c16764ae5a5cfde9ab1f56eef852b0e338df670e2e8d397dd416de"}