{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:24PU33SBAPSID55LSUXLF5LPCP","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":"e0697add9299ef2bb7d70baad2e338f0c9024fd5220bc09e60106ae86e511ec0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-02T02:24:00Z","title_canon_sha256":"f705dc5277c6ce6efb6b2d7af9a72b0ed7948bba758a447c4d85e88e7f2448da"},"schema_version":"1.0","source":{"id":"2607.01609","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01609","created_at":"2026-07-03T01:17:03Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01609v1","created_at":"2026-07-03T01:17:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01609","created_at":"2026-07-03T01:17:03Z"},{"alias_kind":"pith_short_12","alias_value":"24PU33SBAPSI","created_at":"2026-07-03T01:17:03Z"},{"alias_kind":"pith_short_16","alias_value":"24PU33SBAPSID55L","created_at":"2026-07-03T01:17:03Z"},{"alias_kind":"pith_short_8","alias_value":"24PU33SB","created_at":"2026-07-03T01:17:03Z"}],"graph_snapshots":[{"event_id":"sha256:19192f6dbf8e4cfde4be8d274fc431150b01863f6285419d8468de25d34adc31","target":"graph","created_at":"2026-07-03T01:17:03Z","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/2607.01609/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in Artificial Intelligence (AI) have revolutionized Electronic Design Automation (EDA), particularly through Large Language Models (LLMs) for circuit design tasks. However, their application to analog and mixed-signal domains remains limited by the lack of machine-readable representations of existing circuit design knowledge. Circuit schematic images found in research manuscripts, textbooks, and websites constitute a vast repository of validated designs; however, these visual representations cannot be directly processed by EDA tools. Converting them into machine-readable netlis","authors_text":"Finn Murphy, Kai-Chen Chiang, Mohammed Ayman Habib, Morteza Fayazi, Rishen Cao, Saoud Aldowaish, Yashwanth Karumanchi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-02T02:24:00Z","title":"SINA: A Fully Automated Circuit Schematic Image to Netlist Generator Using Artificial Intelligence"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01609","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":"sha256:697b796b08e948856a199208963b49bef2090397732e0dfe11724d3e04fafbf6","target":"record","created_at":"2026-07-03T01:17:03Z","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":"e0697add9299ef2bb7d70baad2e338f0c9024fd5220bc09e60106ae86e511ec0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-02T02:24:00Z","title_canon_sha256":"f705dc5277c6ce6efb6b2d7af9a72b0ed7948bba758a447c4d85e88e7f2448da"},"schema_version":"1.0","source":{"id":"2607.01609","kind":"arxiv","version":1}},"canonical_sha256":"d71f4dee4103e481f7ab952eb2f56f13cac13ea5111ac3f12c9e1859150f4fcf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d71f4dee4103e481f7ab952eb2f56f13cac13ea5111ac3f12c9e1859150f4fcf","first_computed_at":"2026-07-03T01:17:03.282672Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T01:17:03.282672Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xx36EtbvFoyVyziuHbAS9pJ2UzVo2WPGcqlzbmuyKkGCyGBzrkT1OYm6Vok/+OtvTUvZ//V5br0wUn2oHa+zDA==","signature_status":"signed_v1","signed_at":"2026-07-03T01:17:03.283071Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.01609","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:697b796b08e948856a199208963b49bef2090397732e0dfe11724d3e04fafbf6","sha256:19192f6dbf8e4cfde4be8d274fc431150b01863f6285419d8468de25d34adc31"],"state_sha256":"6de269986899a37a84b5a2184286818a54570e52e7e7578a4d894846ed06822e"}