{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DTZDAXO5U56WZG4E6FVYV2MOKQ","short_pith_number":"pith:DTZDAXO5","canonical_record":{"source":{"id":"2503.16514","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AR","submitted_at":"2025-03-15T23:43:06Z","cross_cats_sorted":["cs.AI","cs.LG","cs.PL"],"title_canon_sha256":"60058c48dedee00ad68bc4804a677de73b09f26044900742793806322302f2b3","abstract_canon_sha256":"b14b98871726db7a21a01085fa90a2bf080c673f20719d975295dcc333e878d1"},"schema_version":"1.0"},"canonical_sha256":"1cf2305ddda77d6c9b84f16b8ae98e5431218aacf404fe6c9f1bec6f5b1be04c","source":{"kind":"arxiv","id":"2503.16514","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.16514","created_at":"2026-07-05T10:49:52Z"},{"alias_kind":"arxiv_version","alias_value":"2503.16514v3","created_at":"2026-07-05T10:49:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.16514","created_at":"2026-07-05T10:49:52Z"},{"alias_kind":"pith_short_12","alias_value":"DTZDAXO5U56W","created_at":"2026-07-05T10:49:52Z"},{"alias_kind":"pith_short_16","alias_value":"DTZDAXO5U56WZG4E","created_at":"2026-07-05T10:49:52Z"},{"alias_kind":"pith_short_8","alias_value":"DTZDAXO5","created_at":"2026-07-05T10:49:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DTZDAXO5U56WZG4E6FVYV2MOKQ","target":"record","payload":{"canonical_record":{"source":{"id":"2503.16514","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AR","submitted_at":"2025-03-15T23:43:06Z","cross_cats_sorted":["cs.AI","cs.LG","cs.PL"],"title_canon_sha256":"60058c48dedee00ad68bc4804a677de73b09f26044900742793806322302f2b3","abstract_canon_sha256":"b14b98871726db7a21a01085fa90a2bf080c673f20719d975295dcc333e878d1"},"schema_version":"1.0"},"canonical_sha256":"1cf2305ddda77d6c9b84f16b8ae98e5431218aacf404fe6c9f1bec6f5b1be04c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:49:52.409768Z","signature_b64":"XpuyWHamdN+PcJ1Jv73Icmr+Rk4c+Zzd8BLsnC8n4IiUJHUNsLtnhBT88d5El4iFoTgjdbLfaRjkdMBgT/PFBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1cf2305ddda77d6c9b84f16b8ae98e5431218aacf404fe6c9f1bec6f5b1be04c","last_reissued_at":"2026-07-05T10:49:52.409274Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:49:52.409274Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.16514","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:49:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P+9bzPHVsvadKXFN9nG/zXIBlNc34af2Vm7/xzitQsp7B7BD/wXljuCQ2ireKmNYIIR5Qop99Gv/S/uZsrQxAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:57:43.179934Z"},"content_sha256":"bfd98570e25c39e1940d9d8f47e9d75663db2a480a64d534cb8a539c03abf05d","schema_version":"1.0","event_id":"sha256:bfd98570e25c39e1940d9d8f47e9d75663db2a480a64d534cb8a539c03abf05d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DTZDAXO5U56WZG4E6FVYV2MOKQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VeriMind: Agentic LLM for Automated Verilog Generation with a Novel Evaluation Metric","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.PL"],"primary_cat":"cs.AR","authors_text":"Bardia Nadimi, Ghali Omar Boutaib, Hao Zheng","submitted_at":"2025-03-15T23:43:06Z","abstract_excerpt":"Designing Verilog modules requires meticulous attention to correctness, efficiency, and adherence to design specifications. However, manually writing Verilog code remains a complex and time-consuming task that demands both expert knowledge and iterative refinement. Leveraging recent advancements in large language models (LLMs) and their structured text generation capabilities, we propose VeriMind, an agentic LLM framework for Verilog code generation that significantly automates and optimizes the synthesis process. Unlike traditional LLM-based code generators, VeriMind employs a structured reas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.16514","kind":"arxiv","version":3},"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/2503.16514/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:49:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"egZBTIKeW1LukN4iR6OH1GT3VMmZmtYpbHfb3yx73a+2XjThuov9eY+qNWL0ggeUEChEUZcZPcFzOkUm/wTXDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:57:43.180923Z"},"content_sha256":"f7f791393099104b2c2f57af316863c30ce6f7a599feb4dc6012635a0cde629e","schema_version":"1.0","event_id":"sha256:f7f791393099104b2c2f57af316863c30ce6f7a599feb4dc6012635a0cde629e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DTZDAXO5U56WZG4E6FVYV2MOKQ/bundle.json","state_url":"https://pith.science/pith/DTZDAXO5U56WZG4E6FVYV2MOKQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DTZDAXO5U56WZG4E6FVYV2MOKQ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T04:57:43Z","links":{"resolver":"https://pith.science/pith/DTZDAXO5U56WZG4E6FVYV2MOKQ","bundle":"https://pith.science/pith/DTZDAXO5U56WZG4E6FVYV2MOKQ/bundle.json","state":"https://pith.science/pith/DTZDAXO5U56WZG4E6FVYV2MOKQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DTZDAXO5U56WZG4E6FVYV2MOKQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DTZDAXO5U56WZG4E6FVYV2MOKQ","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":"b14b98871726db7a21a01085fa90a2bf080c673f20719d975295dcc333e878d1","cross_cats_sorted":["cs.AI","cs.LG","cs.PL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AR","submitted_at":"2025-03-15T23:43:06Z","title_canon_sha256":"60058c48dedee00ad68bc4804a677de73b09f26044900742793806322302f2b3"},"schema_version":"1.0","source":{"id":"2503.16514","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.16514","created_at":"2026-07-05T10:49:52Z"},{"alias_kind":"arxiv_version","alias_value":"2503.16514v3","created_at":"2026-07-05T10:49:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.16514","created_at":"2026-07-05T10:49:52Z"},{"alias_kind":"pith_short_12","alias_value":"DTZDAXO5U56W","created_at":"2026-07-05T10:49:52Z"},{"alias_kind":"pith_short_16","alias_value":"DTZDAXO5U56WZG4E","created_at":"2026-07-05T10:49:52Z"},{"alias_kind":"pith_short_8","alias_value":"DTZDAXO5","created_at":"2026-07-05T10:49:52Z"}],"graph_snapshots":[{"event_id":"sha256:f7f791393099104b2c2f57af316863c30ce6f7a599feb4dc6012635a0cde629e","target":"graph","created_at":"2026-07-05T10:49:52Z","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/2503.16514/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Designing Verilog modules requires meticulous attention to correctness, efficiency, and adherence to design specifications. However, manually writing Verilog code remains a complex and time-consuming task that demands both expert knowledge and iterative refinement. Leveraging recent advancements in large language models (LLMs) and their structured text generation capabilities, we propose VeriMind, an agentic LLM framework for Verilog code generation that significantly automates and optimizes the synthesis process. Unlike traditional LLM-based code generators, VeriMind employs a structured reas","authors_text":"Bardia Nadimi, Ghali Omar Boutaib, Hao Zheng","cross_cats":["cs.AI","cs.LG","cs.PL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AR","submitted_at":"2025-03-15T23:43:06Z","title":"VeriMind: Agentic LLM for Automated Verilog Generation with a Novel Evaluation Metric"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.16514","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:bfd98570e25c39e1940d9d8f47e9d75663db2a480a64d534cb8a539c03abf05d","target":"record","created_at":"2026-07-05T10:49:52Z","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":"b14b98871726db7a21a01085fa90a2bf080c673f20719d975295dcc333e878d1","cross_cats_sorted":["cs.AI","cs.LG","cs.PL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AR","submitted_at":"2025-03-15T23:43:06Z","title_canon_sha256":"60058c48dedee00ad68bc4804a677de73b09f26044900742793806322302f2b3"},"schema_version":"1.0","source":{"id":"2503.16514","kind":"arxiv","version":3}},"canonical_sha256":"1cf2305ddda77d6c9b84f16b8ae98e5431218aacf404fe6c9f1bec6f5b1be04c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1cf2305ddda77d6c9b84f16b8ae98e5431218aacf404fe6c9f1bec6f5b1be04c","first_computed_at":"2026-07-05T10:49:52.409274Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:49:52.409274Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XpuyWHamdN+PcJ1Jv73Icmr+Rk4c+Zzd8BLsnC8n4IiUJHUNsLtnhBT88d5El4iFoTgjdbLfaRjkdMBgT/PFBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:49:52.409768Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.16514","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bfd98570e25c39e1940d9d8f47e9d75663db2a480a64d534cb8a539c03abf05d","sha256:f7f791393099104b2c2f57af316863c30ce6f7a599feb4dc6012635a0cde629e"],"state_sha256":"ec5f96a4e11e4547477692ca71a04c7baec21d165cf1c1254038cfccec5cb634"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Co0YjlFJsX9Ss3/2HM15FSsqIVDwruhvSXTQKtI1UItsJW+oSUjjIdzOlE65kKGQt9eAVrRHuH0t1WMj21pDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T04:57:43.187048Z","bundle_sha256":"61ed4421feba16eabb7f36ec63fbf0e395e21c7cf5526788c811c0af07d0e2cd"}}