{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T07:24:23Z","timestamp":1760081063952,"version":"build-2065373602"},"reference-count":11,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T00:00:00Z","timestamp":1757289600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T00:00:00Z","timestamp":1757289600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,8]]},"DOI":"10.1109\/mlcad65511.2025.11189127","type":"proceedings-article","created":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:51:22Z","timestamp":1760032282000},"page":"1-9","source":"Crossref","is-referenced-by-count":1,"title":["BugGen: A Self-Correcting Multi-Agent LLM Pipeline for Realistic RTL Bug Synthesis"],"prefix":"10.1109","author":[{"given":"Surya","family":"Jasper","sequence":"first","affiliation":[{"name":"AMD,San Jose,California,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minh","family":"Luu","sequence":"additional","affiliation":[{"name":"Infineon Technologies,Hanoi,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Evan","family":"Pan","sequence":"additional","affiliation":[{"name":"Texas A&#x0026;M University,College Station,Texas,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aakash","family":"Tyagi","sequence":"additional","affiliation":[{"name":"Texas A&#x0026;M University,College Station,Texas,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Quinn","sequence":"additional","affiliation":[{"name":"Texas A&#x0026;M University,College Station,Texas,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiang","family":"Hu","sequence":"additional","affiliation":[{"name":"Texas A&#x0026;M University,College Station,Texas,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Houngninou","sequence":"additional","affiliation":[{"name":"Texas A&#x0026;M University,College Station,Texas,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Part 3: The 2020 Wilson Research Group Functional Verification Study - Verification Horizons \u2014 blogs.sw.siemens.com"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2006.41"},{"article-title":"Review of machine learning for micro-electronic design verification","year":"2025","author":"Bennett","key":"ref3"},{"author":"Bolcskei","key":"ref4","article-title":"Encarsia: Evaluating cpu fuzzers via automatic bug injection"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3660526"},{"key":"ref6","article-title":"Opentitan: Open source silicon root of trust"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ISSRE.2014.40"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/DAC56929.2023.10247962"},{"article-title":"Verigen: A large language model for verilog code generation","year":"2023","author":"Thakur","key":"ref10"},{"article-title":"Autochip: Automating hdl generation using llm feedback","year":"2024","author":"Thakur","key":"ref11"},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.1109\/MLCAD65511.2025.11189168","article-title":"Vcdiag: Classifying erroneous waveforms for failure triage acceleration","author":"Luu","year":"2025"}],"event":{"name":"2025 ACM\/IEEE 7th Symposium on Machine Learning for CAD (MLCAD)","start":{"date-parts":[[2025,9,8]]},"location":"Santa Cruz, CA, USA","end":{"date-parts":[[2025,9,10]]}},"container-title":["2025 ACM\/IEEE 7th Symposium on Machine Learning for CAD (MLCAD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11189084\/11189054\/11189127.pdf?arnumber=11189127","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T05:24:32Z","timestamp":1760073872000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11189127\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,8]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/mlcad65511.2025.11189127","relation":{},"subject":[],"published":{"date-parts":[[2025,9,8]]}}}