{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ETTBPFWXJA7T7PCBCTFZ5KAOEA","short_pith_number":"pith:ETTBPFWX","canonical_record":{"source":{"id":"2507.00444","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.ET","submitted_at":"2025-07-01T05:54:31Z","cross_cats_sorted":[],"title_canon_sha256":"747967c43882e8743f550442c2b92c74744a0797097cadb49c6874160d9ef4e5","abstract_canon_sha256":"eeab0ae8793e9ee668493a47f9029c0d6b0da354a8a8f1baee6599d10258ca5b"},"schema_version":"1.0"},"canonical_sha256":"24e61796d7483f3fbc4114cb9ea80e20095aefa1612c467b168437ab519a46ca","source":{"kind":"arxiv","id":"2507.00444","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.00444","created_at":"2026-07-05T11:39:55Z"},{"alias_kind":"arxiv_version","alias_value":"2507.00444v2","created_at":"2026-07-05T11:39:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.00444","created_at":"2026-07-05T11:39:55Z"},{"alias_kind":"pith_short_12","alias_value":"ETTBPFWXJA7T","created_at":"2026-07-05T11:39:55Z"},{"alias_kind":"pith_short_16","alias_value":"ETTBPFWXJA7T7PCB","created_at":"2026-07-05T11:39:55Z"},{"alias_kind":"pith_short_8","alias_value":"ETTBPFWX","created_at":"2026-07-05T11:39:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ETTBPFWXJA7T7PCBCTFZ5KAOEA","target":"record","payload":{"canonical_record":{"source":{"id":"2507.00444","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.ET","submitted_at":"2025-07-01T05:54:31Z","cross_cats_sorted":[],"title_canon_sha256":"747967c43882e8743f550442c2b92c74744a0797097cadb49c6874160d9ef4e5","abstract_canon_sha256":"eeab0ae8793e9ee668493a47f9029c0d6b0da354a8a8f1baee6599d10258ca5b"},"schema_version":"1.0"},"canonical_sha256":"24e61796d7483f3fbc4114cb9ea80e20095aefa1612c467b168437ab519a46ca","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:39:55.904346Z","signature_b64":"+/sSU8yP3KwtdE9kpTXvLovu4em28stLqJS94aS2kgua2a1cLV2pB59HdA+anjJvcqtRmWWSBudUgJKYapaQAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"24e61796d7483f3fbc4114cb9ea80e20095aefa1612c467b168437ab519a46ca","last_reissued_at":"2026-07-05T11:39:55.903892Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:39:55.903892Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.00444","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:39:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bizzMMv6zGZeDzylbZs3dNwrsifsYibOB8QMh986fIRNJhc+0XJLP3MKNvuCA6bC0dtfD1o+VW64FHSAYc8cBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:18:01.850848Z"},"content_sha256":"c7884b9cae0f281e2accee3822a895b633a0dcfe73cfa32285865661af1eded0","schema_version":"1.0","event_id":"sha256:c7884b9cae0f281e2accee3822a895b633a0dcfe73cfa32285865661af1eded0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ETTBPFWXJA7T7PCBCTFZ5KAOEA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.ET","authors_text":"Chengjie Liu, Jiajia Li, Jun Yang, Li Du, Weiyu Chen, Wenhao Huang, Yabing Feng, Yuan Du","submitted_at":"2025-07-01T05:54:31Z","abstract_excerpt":"Analog circuit design consists of the pre-layout and layout phases. Among them, the pre-layout phase directly decides the final circuit performance, but heavily depends on experienced engineers to do manual design according to specific application scenarios. To overcome these challenges and automate the analog circuit pre-layout design phase, we introduce DiffCkt: a diffusion model-based hybrid neural network framework for the automatic transistor-level generation of analog circuits, which can directly generate corresponding circuit structures and device parameters tailored to specific perform"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.00444","kind":"arxiv","version":2},"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/2507.00444/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":"2026-07-05T11:39:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iZaca3DERUw2k7w1d2GjR3wxv8ZthTmUw8Z8lLqy5J3HSeZUkKf6ibWk1eKcYwHszRnwpg/gD9EOSWLvK+xZAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:18:01.851221Z"},"content_sha256":"bf0e777d6612e249c71787363ddacc54cf9caae031535b62b0cafe6cf0977526","schema_version":"1.0","event_id":"sha256:bf0e777d6612e249c71787363ddacc54cf9caae031535b62b0cafe6cf0977526"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ETTBPFWXJA7T7PCBCTFZ5KAOEA/bundle.json","state_url":"https://pith.science/pith/ETTBPFWXJA7T7PCBCTFZ5KAOEA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ETTBPFWXJA7T7PCBCTFZ5KAOEA/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":"2026-08-03T15:18:01Z","links":{"resolver":"https://pith.science/pith/ETTBPFWXJA7T7PCBCTFZ5KAOEA","bundle":"https://pith.science/pith/ETTBPFWXJA7T7PCBCTFZ5KAOEA/bundle.json","state":"https://pith.science/pith/ETTBPFWXJA7T7PCBCTFZ5KAOEA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ETTBPFWXJA7T7PCBCTFZ5KAOEA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ETTBPFWXJA7T7PCBCTFZ5KAOEA","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":"eeab0ae8793e9ee668493a47f9029c0d6b0da354a8a8f1baee6599d10258ca5b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.ET","submitted_at":"2025-07-01T05:54:31Z","title_canon_sha256":"747967c43882e8743f550442c2b92c74744a0797097cadb49c6874160d9ef4e5"},"schema_version":"1.0","source":{"id":"2507.00444","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.00444","created_at":"2026-07-05T11:39:55Z"},{"alias_kind":"arxiv_version","alias_value":"2507.00444v2","created_at":"2026-07-05T11:39:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.00444","created_at":"2026-07-05T11:39:55Z"},{"alias_kind":"pith_short_12","alias_value":"ETTBPFWXJA7T","created_at":"2026-07-05T11:39:55Z"},{"alias_kind":"pith_short_16","alias_value":"ETTBPFWXJA7T7PCB","created_at":"2026-07-05T11:39:55Z"},{"alias_kind":"pith_short_8","alias_value":"ETTBPFWX","created_at":"2026-07-05T11:39:55Z"}],"graph_snapshots":[{"event_id":"sha256:bf0e777d6612e249c71787363ddacc54cf9caae031535b62b0cafe6cf0977526","target":"graph","created_at":"2026-07-05T11:39:55Z","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/2507.00444/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Analog circuit design consists of the pre-layout and layout phases. Among them, the pre-layout phase directly decides the final circuit performance, but heavily depends on experienced engineers to do manual design according to specific application scenarios. To overcome these challenges and automate the analog circuit pre-layout design phase, we introduce DiffCkt: a diffusion model-based hybrid neural network framework for the automatic transistor-level generation of analog circuits, which can directly generate corresponding circuit structures and device parameters tailored to specific perform","authors_text":"Chengjie Liu, Jiajia Li, Jun Yang, Li Du, Weiyu Chen, Wenhao Huang, Yabing Feng, Yuan Du","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.ET","submitted_at":"2025-07-01T05:54:31Z","title":"DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.00444","kind":"arxiv","version":2},"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:c7884b9cae0f281e2accee3822a895b633a0dcfe73cfa32285865661af1eded0","target":"record","created_at":"2026-07-05T11:39:55Z","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":"eeab0ae8793e9ee668493a47f9029c0d6b0da354a8a8f1baee6599d10258ca5b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.ET","submitted_at":"2025-07-01T05:54:31Z","title_canon_sha256":"747967c43882e8743f550442c2b92c74744a0797097cadb49c6874160d9ef4e5"},"schema_version":"1.0","source":{"id":"2507.00444","kind":"arxiv","version":2}},"canonical_sha256":"24e61796d7483f3fbc4114cb9ea80e20095aefa1612c467b168437ab519a46ca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"24e61796d7483f3fbc4114cb9ea80e20095aefa1612c467b168437ab519a46ca","first_computed_at":"2026-07-05T11:39:55.903892Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:39:55.903892Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+/sSU8yP3KwtdE9kpTXvLovu4em28stLqJS94aS2kgua2a1cLV2pB59HdA+anjJvcqtRmWWSBudUgJKYapaQAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:39:55.904346Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.00444","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c7884b9cae0f281e2accee3822a895b633a0dcfe73cfa32285865661af1eded0","sha256:bf0e777d6612e249c71787363ddacc54cf9caae031535b62b0cafe6cf0977526"],"state_sha256":"6e2d50eba0ebbb1e8df4be884f99385a5de4c7cbdb674e98616406ab6312055e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n5x+qGkkCXJkgnO5mUNFEgUOWSZRP5Pmi2nNYCIZKkVkkIS78zysHcKj6zeMXecdERgIAaneM7MiQHrGU2qlAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T15:18:01.853877Z","bundle_sha256":"24a4459eb88ee9593404f50cf8f0e05d13730a64f5ceeb833507f09632ab66f5"}}