{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2ZALNSVAE5STCVDOEJY3DKZ5X7","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":"0544e63b6193fe78bcf2e875f9163c7a0ff6b6c2a3d662e61a9beb5cf740ec97","cross_cats_sorted":["cs.AI","cs.PL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AR","submitted_at":"2024-11-01T17:33:28Z","title_canon_sha256":"7b8d0606f2366f53f51dcd127e55d583178d680417a49292048306be81eeafc8"},"schema_version":"1.0","source":{"id":"2411.11856","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.11856","created_at":"2026-07-05T10:24:27Z"},{"alias_kind":"arxiv_version","alias_value":"2411.11856v3","created_at":"2026-07-05T10:24:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.11856","created_at":"2026-07-05T10:24:27Z"},{"alias_kind":"pith_short_12","alias_value":"2ZALNSVAE5ST","created_at":"2026-07-05T10:24:27Z"},{"alias_kind":"pith_short_16","alias_value":"2ZALNSVAE5STCVDO","created_at":"2026-07-05T10:24:27Z"},{"alias_kind":"pith_short_8","alias_value":"2ZALNSVA","created_at":"2026-07-05T10:24:27Z"}],"graph_snapshots":[{"event_id":"sha256:0b50b7e40c46ae27d971c465903690b226ce0c4295d7e435254a456011ae1ad5","target":"graph","created_at":"2026-07-05T10:24:27Z","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/2411.11856/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Traditionally, digital hardware designs are written in the Verilog hardware description language (HDL) and debugged manually by engineers. This can be time-consuming and error-prone for complex designs. Large Language Models (LLMs) are emerging as a potential tool to help generate fully functioning HDL code, but most works have focused on generation in the single-shot capacity: i.e., run and evaluate, a process that does not leverage debugging and, as such, does not adequately reflect a realistic development process. In this work, we evaluate the ability of LLMs to leverage feedback from elect","authors_text":"Benjamin Tan, Hammond Pearce, Jason Blocklove, Ramesh Karri, Shailja Thakur, Siddharth Garg","cross_cats":["cs.AI","cs.PL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AR","submitted_at":"2024-11-01T17:33:28Z","title":"Automatically Improving LLM-based Verilog Generation using EDA Tool Feedback"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.11856","kind":"arxiv","version":3},"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":"sha256:3253394952c7a3b05cdc51564d42c233f44a2bc62d07631385c19b489bd7e7a0","target":"record","created_at":"2026-07-05T10:24:27Z","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":"0544e63b6193fe78bcf2e875f9163c7a0ff6b6c2a3d662e61a9beb5cf740ec97","cross_cats_sorted":["cs.AI","cs.PL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AR","submitted_at":"2024-11-01T17:33:28Z","title_canon_sha256":"7b8d0606f2366f53f51dcd127e55d583178d680417a49292048306be81eeafc8"},"schema_version":"1.0","source":{"id":"2411.11856","kind":"arxiv","version":3}},"canonical_sha256":"d640b6caa0276531546e2271b1ab3dbfc1880be90ae3b6edd046a12fa448dc19","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d640b6caa0276531546e2271b1ab3dbfc1880be90ae3b6edd046a12fa448dc19","first_computed_at":"2026-07-05T10:24:27.822543Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:24:27.822543Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0hXErruOVAtty8nLzCHNemSCawd1AMS+xZ+ApNNY6RpsomLRbKEAu9U52EYWOo/Lmr20SfS0CjUQdSAOaDW9Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:24:27.823137Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.11856","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3253394952c7a3b05cdc51564d42c233f44a2bc62d07631385c19b489bd7e7a0","sha256:0b50b7e40c46ae27d971c465903690b226ce0c4295d7e435254a456011ae1ad5"],"state_sha256":"70f22d016a212d81414e7ac37c35abb9c0541cc7d0186d274005f07fa09a6560"}