{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SNJWB5M6ZBJLHER7PLA5VGIZ6Y","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":"654f5c70678f94702bf8219bb83d44c4745e6d8a0b7468ec0be4ff187e364b61","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-11T16:11:09Z","title_canon_sha256":"b878e58117072c06c44cfd05f0a7028706956e50ac7ea6bb7fa0ce6c7cba3a8c"},"schema_version":"1.0","source":{"id":"2508.08137","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.08137","created_at":"2026-07-05T11:52:08Z"},{"alias_kind":"arxiv_version","alias_value":"2508.08137v1","created_at":"2026-07-05T11:52:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.08137","created_at":"2026-07-05T11:52:08Z"},{"alias_kind":"pith_short_12","alias_value":"SNJWB5M6ZBJL","created_at":"2026-07-05T11:52:08Z"},{"alias_kind":"pith_short_16","alias_value":"SNJWB5M6ZBJLHER7","created_at":"2026-07-05T11:52:08Z"},{"alias_kind":"pith_short_8","alias_value":"SNJWB5M6","created_at":"2026-07-05T11:52:08Z"}],"graph_snapshots":[{"event_id":"sha256:5b12c3621d47eab466fb1077aabdc814439008d7be974df233e2a2b344f2ee39","target":"graph","created_at":"2026-07-05T11:52:08Z","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/2508.08137/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conducting a comprehensive literature review is crucial for advancing circuit design methodologies. However, the rapid influx of state-of-the-art research, inconsistent data representation, and the complexity of optimizing circuit design objectives make this task significantly challenging. In this paper, we propose MuaLLM, an open-source multimodal Large Language Model (LLM) agent for circuit design assistance that integrates a hybrid Retrieval-Augmented Generation (RAG) framework with an adaptive vector database of circuit design research papers. Unlike conventional LLMs, the MuaLLM agent emp","authors_text":"Ali Ghazizadeh, Colin Liechty, Morteza Fayazi, Pravallika Abbineni, Saoud Aldowaish, Soroosh Noorzad","cross_cats":["cs.AI","cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-11T16:11:09Z","title":"MuaLLM: A Multimodal Large Language Model Agent for Circuit Design Assistance with Hybrid Contextual Retrieval-Augmented Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.08137","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":"sha256:6fc781ecbee62426328e87c14fd76830b7024340d3061dcfb1f02d92ff25ffd6","target":"record","created_at":"2026-07-05T11:52:08Z","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":"654f5c70678f94702bf8219bb83d44c4745e6d8a0b7468ec0be4ff187e364b61","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-11T16:11:09Z","title_canon_sha256":"b878e58117072c06c44cfd05f0a7028706956e50ac7ea6bb7fa0ce6c7cba3a8c"},"schema_version":"1.0","source":{"id":"2508.08137","kind":"arxiv","version":1}},"canonical_sha256":"935360f59ec852b3923f7ac1da9919f61081dcef6165cedaa69269d6a5e3115f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"935360f59ec852b3923f7ac1da9919f61081dcef6165cedaa69269d6a5e3115f","first_computed_at":"2026-07-05T11:52:08.862657Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:52:08.862657Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A5QW6KjnSp+sqQQDn8H9vimB/eImCv+FGlDBP/P7v0mtk3LdLjks9/5geZhZs/rmiyreGq1ZcO5bAxXLQ/utCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:52:08.863204Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.08137","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6fc781ecbee62426328e87c14fd76830b7024340d3061dcfb1f02d92ff25ffd6","sha256:5b12c3621d47eab466fb1077aabdc814439008d7be974df233e2a2b344f2ee39"],"state_sha256":"dc48765a35bac36df93a0d4d3979a103026cfb45c739046c9dd8be548daff5fd"}