{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:OCTFXKVTY7W4O3Y47FWKZP4MTQ","short_pith_number":"pith:OCTFXKVT","canonical_record":{"source":{"id":"2411.14299","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-11-21T16:50:11Z","cross_cats_sorted":[],"title_canon_sha256":"5bf4d1ee2a907c8abe78866954dd47283e4a2eabc269b7c7261cf8ea8a2f9573","abstract_canon_sha256":"9790a0007968fb9e006faff71f28e5bff2fb6eb83688c473e62a556fa0796815"},"schema_version":"1.0"},"canonical_sha256":"70a65baab3c7edc76f1cf96cacbf8c9c36bde7cb20d98c87ae5188679e3f2b26","source":{"kind":"arxiv","id":"2411.14299","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.14299","created_at":"2026-07-05T10:37:38Z"},{"alias_kind":"arxiv_version","alias_value":"2411.14299v5","created_at":"2026-07-05T10:37:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.14299","created_at":"2026-07-05T10:37:38Z"},{"alias_kind":"pith_short_12","alias_value":"OCTFXKVTY7W4","created_at":"2026-07-05T10:37:38Z"},{"alias_kind":"pith_short_16","alias_value":"OCTFXKVTY7W4O3Y4","created_at":"2026-07-05T10:37:38Z"},{"alias_kind":"pith_short_8","alias_value":"OCTFXKVT","created_at":"2026-07-05T10:37:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:OCTFXKVTY7W4O3Y47FWKZP4MTQ","target":"record","payload":{"canonical_record":{"source":{"id":"2411.14299","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-11-21T16:50:11Z","cross_cats_sorted":[],"title_canon_sha256":"5bf4d1ee2a907c8abe78866954dd47283e4a2eabc269b7c7261cf8ea8a2f9573","abstract_canon_sha256":"9790a0007968fb9e006faff71f28e5bff2fb6eb83688c473e62a556fa0796815"},"schema_version":"1.0"},"canonical_sha256":"70a65baab3c7edc76f1cf96cacbf8c9c36bde7cb20d98c87ae5188679e3f2b26","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:37:38.172927Z","signature_b64":"qNAGgOvnvP3aRJNesNoD7vhMMtPks2qfBD4nWHLbBWGMqUO8CmHVzdOoRCIkvJhupdGN8MaVShBMc9DHu6GwBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"70a65baab3c7edc76f1cf96cacbf8c9c36bde7cb20d98c87ae5188679e3f2b26","last_reissued_at":"2026-07-05T10:37:38.172264Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:37:38.172264Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.14299","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:37:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rxpJ2E1Gi3XgpoENWUU4xsAoBwDTBtdT3dKFCuGoMeA6BfK/rJr28dVboPw4usng9dFSSTCeXDR+rMI51NK/Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T23:52:02.350811Z"},"content_sha256":"0d90973fba94c48ba3fd7fe083a52a2a32d1510f60eb7a1809be599fddd83302","schema_version":"1.0","event_id":"sha256:0d90973fba94c48ba3fd7fe083a52a2a32d1510f60eb7a1809be599fddd83302"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:OCTFXKVTY7W4O3Y47FWKZP4MTQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Masala-CHAI: A Large-Scale SPICE Netlist Dataset for Analog Circuits by Harnessing AI","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AR","authors_text":"Hamed Rahmani, Jitendra Bhandari, Ramesh Karri, Siddharth Garg, Vineet Bhat, Yuheng He","submitted_at":"2024-11-21T16:50:11Z","abstract_excerpt":"Masala-CHAI is a fully automated framework leveraging large language models (LLMs) to generate Simulation Programs with Integrated Circuit Emphasis (SPICE) netlists. It addresses a long-standing challenge in circuit design automation: automating netlist generation for analog circuits. Automating this workflow could accelerate the creation of fine-tuned LLMs for analog circuit design and verification. In this work, we identify key challenges in automated netlist generation and evaluate multimodal capabilities of state-of-the-art LLMs, particularly GPT-4, in addressing them. We propose a three-s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.14299","kind":"arxiv","version":5},"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/2411.14299/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":"2026-07-05T10:37:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1fCQz3pRRuLt7NxvL37KamZLzDNUQN3NyTUD4r8x9j7hEcmGMD8kQluAfcQAMP32EyMuWdTTussE/V7K/6kCAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T23:52:02.351317Z"},"content_sha256":"2245dee9c3a2df1c4c5849355ad3e05152e5cf31a839501b1c642785f46d46b1","schema_version":"1.0","event_id":"sha256:2245dee9c3a2df1c4c5849355ad3e05152e5cf31a839501b1c642785f46d46b1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OCTFXKVTY7W4O3Y47FWKZP4MTQ/bundle.json","state_url":"https://pith.science/pith/OCTFXKVTY7W4O3Y47FWKZP4MTQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OCTFXKVTY7W4O3Y47FWKZP4MTQ/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":"2026-08-08T23:52:02Z","links":{"resolver":"https://pith.science/pith/OCTFXKVTY7W4O3Y47FWKZP4MTQ","bundle":"https://pith.science/pith/OCTFXKVTY7W4O3Y47FWKZP4MTQ/bundle.json","state":"https://pith.science/pith/OCTFXKVTY7W4O3Y47FWKZP4MTQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OCTFXKVTY7W4O3Y47FWKZP4MTQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OCTFXKVTY7W4O3Y47FWKZP4MTQ","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":"9790a0007968fb9e006faff71f28e5bff2fb6eb83688c473e62a556fa0796815","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-11-21T16:50:11Z","title_canon_sha256":"5bf4d1ee2a907c8abe78866954dd47283e4a2eabc269b7c7261cf8ea8a2f9573"},"schema_version":"1.0","source":{"id":"2411.14299","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.14299","created_at":"2026-07-05T10:37:38Z"},{"alias_kind":"arxiv_version","alias_value":"2411.14299v5","created_at":"2026-07-05T10:37:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.14299","created_at":"2026-07-05T10:37:38Z"},{"alias_kind":"pith_short_12","alias_value":"OCTFXKVTY7W4","created_at":"2026-07-05T10:37:38Z"},{"alias_kind":"pith_short_16","alias_value":"OCTFXKVTY7W4O3Y4","created_at":"2026-07-05T10:37:38Z"},{"alias_kind":"pith_short_8","alias_value":"OCTFXKVT","created_at":"2026-07-05T10:37:38Z"}],"graph_snapshots":[{"event_id":"sha256:2245dee9c3a2df1c4c5849355ad3e05152e5cf31a839501b1c642785f46d46b1","target":"graph","created_at":"2026-07-05T10:37:38Z","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/2411.14299/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Masala-CHAI is a fully automated framework leveraging large language models (LLMs) to generate Simulation Programs with Integrated Circuit Emphasis (SPICE) netlists. It addresses a long-standing challenge in circuit design automation: automating netlist generation for analog circuits. Automating this workflow could accelerate the creation of fine-tuned LLMs for analog circuit design and verification. In this work, we identify key challenges in automated netlist generation and evaluate multimodal capabilities of state-of-the-art LLMs, particularly GPT-4, in addressing them. We propose a three-s","authors_text":"Hamed Rahmani, Jitendra Bhandari, Ramesh Karri, Siddharth Garg, Vineet Bhat, Yuheng He","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-11-21T16:50:11Z","title":"Masala-CHAI: A Large-Scale SPICE Netlist Dataset for Analog Circuits by Harnessing AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.14299","kind":"arxiv","version":5},"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":"sha256:0d90973fba94c48ba3fd7fe083a52a2a32d1510f60eb7a1809be599fddd83302","target":"record","created_at":"2026-07-05T10:37:38Z","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":"9790a0007968fb9e006faff71f28e5bff2fb6eb83688c473e62a556fa0796815","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-11-21T16:50:11Z","title_canon_sha256":"5bf4d1ee2a907c8abe78866954dd47283e4a2eabc269b7c7261cf8ea8a2f9573"},"schema_version":"1.0","source":{"id":"2411.14299","kind":"arxiv","version":5}},"canonical_sha256":"70a65baab3c7edc76f1cf96cacbf8c9c36bde7cb20d98c87ae5188679e3f2b26","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"70a65baab3c7edc76f1cf96cacbf8c9c36bde7cb20d98c87ae5188679e3f2b26","first_computed_at":"2026-07-05T10:37:38.172264Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:37:38.172264Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qNAGgOvnvP3aRJNesNoD7vhMMtPks2qfBD4nWHLbBWGMqUO8CmHVzdOoRCIkvJhupdGN8MaVShBMc9DHu6GwBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:37:38.172927Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.14299","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0d90973fba94c48ba3fd7fe083a52a2a32d1510f60eb7a1809be599fddd83302","sha256:2245dee9c3a2df1c4c5849355ad3e05152e5cf31a839501b1c642785f46d46b1"],"state_sha256":"f4903ed69350630db7eafc41cbf578efae67da0bc80d708a5beff7e864519d05"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2XiutcUHFtJbAUBMxcNqnEzfc8yXT5LSOAxq3ZJYmgs7vWAhVXgoA8FznPD3GrKkaXmTo86CISsjXXg6Gp4ACA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T23:52:02.354944Z","bundle_sha256":"18e84d20492212e9d607f2f4f8c6182c497b7191e606d127873e459c4397f990"}}