{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:A5HD77RTALHB5UKXBW4BNCKGFZ","short_pith_number":"pith:A5HD77RT","schema_version":"1.0","canonical_sha256":"074e3ffe3302ce1ed1570db81689462e7846218145f17eb22acef13254b2893c","source":{"kind":"arxiv","id":"2607.09616","version":1},"attestation_state":"computed","paper":{"title":"LLM for EDA in Front-End Design: Challenges and Opportunities","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AR","cs.LG","cs.SY","eess.SY"],"primary_cat":"cs.ET","authors_text":"Bing Li, Kangwei Xu, Ulf Schlichtmann","submitted_at":"2026-07-10T17:15:54Z","abstract_excerpt":"As chip complexity increases and time-to-market pressures grow, front-end design has become a critical bottleneck in chip development. Recently, Large Language Models (LLMs) have shown great potential in Electronic Design Automation (EDA). Beyond specification understanding, LLMs show the potential to serve as a unified intelligent interface for hardware description language (HDL) generation, testbench construction, and design space exploration. The rise of agentic AI, represented by pioneering systems such as OpenClaw, offers a strategic roadmap for the next generation EDA. From this perspect"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.09616","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.ET","submitted_at":"2026-07-10T17:15:54Z","cross_cats_sorted":["cs.AR","cs.LG","cs.SY","eess.SY"],"title_canon_sha256":"fb1f327c2e142ee4dc8e0d0597d60ebb4574861ccb766d0e8b2c10115e70babb","abstract_canon_sha256":"acafe25ce52ac957218f11131eda105efaed9af677c47a150727bfcfd9cd761b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-13T01:20:24.380755Z","signature_b64":"TwERFWYLUvBFsYRDeqO0LeuHBlWMrJuxz1uR3OJ9M/yvPXu+uGAzrqwsyGuF8sONR5JqoHqoKqV0wpujl2pSDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"074e3ffe3302ce1ed1570db81689462e7846218145f17eb22acef13254b2893c","last_reissued_at":"2026-07-13T01:20:24.379568Z","signature_status":"signed_v1","first_computed_at":"2026-07-13T01:20:24.379568Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"LLM for EDA in Front-End Design: Challenges and Opportunities","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AR","cs.LG","cs.SY","eess.SY"],"primary_cat":"cs.ET","authors_text":"Bing Li, Kangwei Xu, Ulf Schlichtmann","submitted_at":"2026-07-10T17:15:54Z","abstract_excerpt":"As chip complexity increases and time-to-market pressures grow, front-end design has become a critical bottleneck in chip development. Recently, Large Language Models (LLMs) have shown great potential in Electronic Design Automation (EDA). Beyond specification understanding, LLMs show the potential to serve as a unified intelligent interface for hardware description language (HDL) generation, testbench construction, and design space exploration. The rise of agentic AI, represented by pioneering systems such as OpenClaw, offers a strategic roadmap for the next generation EDA. From this perspect"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.09616","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/2607.09616/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.09616","created_at":"2026-07-13T01:20:24.380179+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.09616v1","created_at":"2026-07-13T01:20:24.380179+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.09616","created_at":"2026-07-13T01:20:24.380179+00:00"},{"alias_kind":"pith_short_12","alias_value":"A5HD77RTALHB","created_at":"2026-07-13T01:20:24.380179+00:00"},{"alias_kind":"pith_short_16","alias_value":"A5HD77RTALHB5UKX","created_at":"2026-07-13T01:20:24.380179+00:00"},{"alias_kind":"pith_short_8","alias_value":"A5HD77RT","created_at":"2026-07-13T01:20:24.380179+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/A5HD77RTALHB5UKXBW4BNCKGFZ","json":"https://pith.science/pith/A5HD77RTALHB5UKXBW4BNCKGFZ.json","graph_json":"https://pith.science/api/pith-number/A5HD77RTALHB5UKXBW4BNCKGFZ/graph.json","events_json":"https://pith.science/api/pith-number/A5HD77RTALHB5UKXBW4BNCKGFZ/events.json","paper":"https://pith.science/paper/A5HD77RT"},"agent_actions":{"view_html":"https://pith.science/pith/A5HD77RTALHB5UKXBW4BNCKGFZ","download_json":"https://pith.science/pith/A5HD77RTALHB5UKXBW4BNCKGFZ.json","view_paper":"https://pith.science/paper/A5HD77RT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.09616&json=true","fetch_graph":"https://pith.science/api/pith-number/A5HD77RTALHB5UKXBW4BNCKGFZ/graph.json","fetch_events":"https://pith.science/api/pith-number/A5HD77RTALHB5UKXBW4BNCKGFZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/A5HD77RTALHB5UKXBW4BNCKGFZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/A5HD77RTALHB5UKXBW4BNCKGFZ/action/storage_attestation","attest_author":"https://pith.science/pith/A5HD77RTALHB5UKXBW4BNCKGFZ/action/author_attestation","sign_citation":"https://pith.science/pith/A5HD77RTALHB5UKXBW4BNCKGFZ/action/citation_signature","submit_replication":"https://pith.science/pith/A5HD77RTALHB5UKXBW4BNCKGFZ/action/replication_record"}},"created_at":"2026-07-13T01:20:24.380179+00:00","updated_at":"2026-07-13T01:20:24.380179+00:00"}