{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:TP4BYMFY7IKR32L46I3YBKATM4","short_pith_number":"pith:TP4BYMFY","canonical_record":{"source":{"id":"2504.09485","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-13T08:56:22Z","cross_cats_sorted":["cs.AR"],"title_canon_sha256":"6da80e4598eb341df5816777f30f4ac41a7568841bbc8a868aa32088ed7a84ca","abstract_canon_sha256":"e91967f1ead57bc0eedc4279a8c463190d6c69ffc1e5a1b5d7a93df6fd49b57a"},"schema_version":"1.0"},"canonical_sha256":"9bf81c30b8fa151de97cf23780a813670df4dced9498178162631c35a41661c5","source":{"kind":"arxiv","id":"2504.09485","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.09485","created_at":"2026-07-05T11:49:09Z"},{"alias_kind":"arxiv_version","alias_value":"2504.09485v2","created_at":"2026-07-05T11:49:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.09485","created_at":"2026-07-05T11:49:09Z"},{"alias_kind":"pith_short_12","alias_value":"TP4BYMFY7IKR","created_at":"2026-07-05T11:49:09Z"},{"alias_kind":"pith_short_16","alias_value":"TP4BYMFY7IKR32L4","created_at":"2026-07-05T11:49:09Z"},{"alias_kind":"pith_short_8","alias_value":"TP4BYMFY","created_at":"2026-07-05T11:49:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:TP4BYMFY7IKR32L46I3YBKATM4","target":"record","payload":{"canonical_record":{"source":{"id":"2504.09485","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-13T08:56:22Z","cross_cats_sorted":["cs.AR"],"title_canon_sha256":"6da80e4598eb341df5816777f30f4ac41a7568841bbc8a868aa32088ed7a84ca","abstract_canon_sha256":"e91967f1ead57bc0eedc4279a8c463190d6c69ffc1e5a1b5d7a93df6fd49b57a"},"schema_version":"1.0"},"canonical_sha256":"9bf81c30b8fa151de97cf23780a813670df4dced9498178162631c35a41661c5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:49:09.311875Z","signature_b64":"Bnm5NmRQA9adyrGSx+daxOY3yhFDxtpORrLfojO6nR25F/74cRSKF1ECdBrHH6tuCAJadPK9pwSChEaPROv0BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9bf81c30b8fa151de97cf23780a813670df4dced9498178162631c35a41661c5","last_reissued_at":"2026-07-05T11:49:09.311361Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:49:09.311361Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.09485","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":"2026-07-05T11:49:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M4lg/MMBCp/GfZjJs5rq8uydl4RfIGqazq+814ZN5F7m5EYUpzMBJvALyy6z7sMpll4A9mJ7QE7Q+rlnqa23DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T07:19:05.925573Z"},"content_sha256":"04c40d544c7007f0f52dfdd704659c5e6b1318ca23664b3fdd0246b70fadc17f","schema_version":"1.0","event_id":"sha256:04c40d544c7007f0f52dfdd704659c5e6b1318ca23664b3fdd0246b70fadc17f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:TP4BYMFY7IKR32L46I3YBKATM4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GenEDA: Towards Generative Netlist Functional Reasoning via Cross-Modal Circuit Encoder-Decoder Alignment","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AR"],"primary_cat":"cs.LG","authors_text":"Jing Wang, Shang Liu, Wenji Fang, Yao Lu, Zhiyao Xie","submitted_at":"2025-04-13T08:56:22Z","abstract_excerpt":"The success of foundation AI has motivated the research of circuit foundation models, which are customized to assist the integrated circuit (IC) design process. However, existing pre-trained circuit foundation models are typically limited to standalone encoders for predictive tasks or decoders for generative tasks. These two model types are developed independently, operate on different circuit modalities, and reside in separate latent spaces. This restricts their ability to complement each other for more advanced capabilities. In this work, we present GenEDA, the first framework that cross-mod"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.09485","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/2504.09485/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":"2026-07-05T11:49:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LENRbj9pKflwTzO1zz0wNC4WOI3gWYGpTlECCCWb5XWJdPAuw34r3eVJnfvFSdSfYXvAQOPXfQAU2kcibJK5CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T07:19:05.926055Z"},"content_sha256":"9174cd12ed1009a619d4d8dbd2d6aa9d7bb9f220792020e7ebdd5999f6e3dd44","schema_version":"1.0","event_id":"sha256:9174cd12ed1009a619d4d8dbd2d6aa9d7bb9f220792020e7ebdd5999f6e3dd44"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TP4BYMFY7IKR32L46I3YBKATM4/bundle.json","state_url":"https://pith.science/pith/TP4BYMFY7IKR32L46I3YBKATM4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TP4BYMFY7IKR32L46I3YBKATM4/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":"2026-08-07T07:19:05Z","links":{"resolver":"https://pith.science/pith/TP4BYMFY7IKR32L46I3YBKATM4","bundle":"https://pith.science/pith/TP4BYMFY7IKR32L46I3YBKATM4/bundle.json","state":"https://pith.science/pith/TP4BYMFY7IKR32L46I3YBKATM4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TP4BYMFY7IKR32L46I3YBKATM4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TP4BYMFY7IKR32L46I3YBKATM4","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":"e91967f1ead57bc0eedc4279a8c463190d6c69ffc1e5a1b5d7a93df6fd49b57a","cross_cats_sorted":["cs.AR"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-13T08:56:22Z","title_canon_sha256":"6da80e4598eb341df5816777f30f4ac41a7568841bbc8a868aa32088ed7a84ca"},"schema_version":"1.0","source":{"id":"2504.09485","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.09485","created_at":"2026-07-05T11:49:09Z"},{"alias_kind":"arxiv_version","alias_value":"2504.09485v2","created_at":"2026-07-05T11:49:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.09485","created_at":"2026-07-05T11:49:09Z"},{"alias_kind":"pith_short_12","alias_value":"TP4BYMFY7IKR","created_at":"2026-07-05T11:49:09Z"},{"alias_kind":"pith_short_16","alias_value":"TP4BYMFY7IKR32L4","created_at":"2026-07-05T11:49:09Z"},{"alias_kind":"pith_short_8","alias_value":"TP4BYMFY","created_at":"2026-07-05T11:49:09Z"}],"graph_snapshots":[{"event_id":"sha256:9174cd12ed1009a619d4d8dbd2d6aa9d7bb9f220792020e7ebdd5999f6e3dd44","target":"graph","created_at":"2026-07-05T11:49:09Z","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/2504.09485/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The success of foundation AI has motivated the research of circuit foundation models, which are customized to assist the integrated circuit (IC) design process. However, existing pre-trained circuit foundation models are typically limited to standalone encoders for predictive tasks or decoders for generative tasks. These two model types are developed independently, operate on different circuit modalities, and reside in separate latent spaces. This restricts their ability to complement each other for more advanced capabilities. In this work, we present GenEDA, the first framework that cross-mod","authors_text":"Jing Wang, Shang Liu, Wenji Fang, Yao Lu, Zhiyao Xie","cross_cats":["cs.AR"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-13T08:56:22Z","title":"GenEDA: Towards Generative Netlist Functional Reasoning via Cross-Modal Circuit Encoder-Decoder Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.09485","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":"sha256:04c40d544c7007f0f52dfdd704659c5e6b1318ca23664b3fdd0246b70fadc17f","target":"record","created_at":"2026-07-05T11:49:09Z","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":"e91967f1ead57bc0eedc4279a8c463190d6c69ffc1e5a1b5d7a93df6fd49b57a","cross_cats_sorted":["cs.AR"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-13T08:56:22Z","title_canon_sha256":"6da80e4598eb341df5816777f30f4ac41a7568841bbc8a868aa32088ed7a84ca"},"schema_version":"1.0","source":{"id":"2504.09485","kind":"arxiv","version":2}},"canonical_sha256":"9bf81c30b8fa151de97cf23780a813670df4dced9498178162631c35a41661c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9bf81c30b8fa151de97cf23780a813670df4dced9498178162631c35a41661c5","first_computed_at":"2026-07-05T11:49:09.311361Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:49:09.311361Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Bnm5NmRQA9adyrGSx+daxOY3yhFDxtpORrLfojO6nR25F/74cRSKF1ECdBrHH6tuCAJadPK9pwSChEaPROv0BA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:49:09.311875Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.09485","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:04c40d544c7007f0f52dfdd704659c5e6b1318ca23664b3fdd0246b70fadc17f","sha256:9174cd12ed1009a619d4d8dbd2d6aa9d7bb9f220792020e7ebdd5999f6e3dd44"],"state_sha256":"4c25a2ea223329c706881f1f656e91d09bd1e7a2c9bc9c92f08b16b4da91356e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ChLln/4vk2x5LCuAS723nb5gH+B4ZD2B80RpMCMfdPc//LYqmTfcfHhpc75H/pfATnLl+BY3uVZL1+GwP3vdAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T07:19:05.930333Z","bundle_sha256":"398f84d2e0cb764a35fd2e0ae13570f944f9e97477fb640155b9c59a0030c931"}}