{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:2ZONJN4TRSM7VMIGTKNVSKH7XJ","short_pith_number":"pith:2ZONJN4T","schema_version":"1.0","canonical_sha256":"d65cd4b7938c99fab1069a9b5928ffba4ab248ec8adb5caa22b80d0e40c44ec4","source":{"kind":"arxiv","id":"1409.4831","version":1},"attestation_state":"computed","paper":{"title":"Stochastic Testing Method for Transistor-Level Uncertainty Quantification Based on Generalized Polynomial Chaos","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Ibrahim (Abe) M. Elfadel, Luca Daniel, Tarek A. El-Moselhy, Zheng Zhang","submitted_at":"2014-09-16T23:32:44Z","abstract_excerpt":"Uncertainties have become a major concern in integrated circuit design. In order to avoid the huge number of repeated simulations in conventional Monte Carlo flows, this paper presents an intrusive spectral simulator for statistical circuit analysis. Our simulator employs the recently developed generalized polynomial chaos expansion to perform uncertainty quantification of nonlinear transistor circuits with both Gaussian and non-Gaussian random parameters. We modify the nonintrusive stochastic collocation (SC) method and develop an intrusive variant called stochastic testing (ST) method to acc"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1409.4831","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2014-09-16T23:32:44Z","cross_cats_sorted":[],"title_canon_sha256":"32984d3456999c2e3c54bc2fc3926af60e5a5dbb86f42dfcf4a5e847734f4fee","abstract_canon_sha256":"4376c4701025efdfd30e08aee981111beba52f1b3d3b8882151cb5cfd5e21525"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:57:51.509649Z","signature_b64":"8CZJ2giRE3JHMmXt/QJHiRhEiZYy9UAT/3rh8z3dvX3VFhtO0kF9/llZzHUE5vnu9UBeqGrMxu+sxyTVuvtdAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d65cd4b7938c99fab1069a9b5928ffba4ab248ec8adb5caa22b80d0e40c44ec4","last_reissued_at":"2026-05-18T00:57:51.508985Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:57:51.508985Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Stochastic Testing Method for Transistor-Level Uncertainty Quantification Based on Generalized Polynomial Chaos","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Ibrahim (Abe) M. Elfadel, Luca Daniel, Tarek A. El-Moselhy, Zheng Zhang","submitted_at":"2014-09-16T23:32:44Z","abstract_excerpt":"Uncertainties have become a major concern in integrated circuit design. In order to avoid the huge number of repeated simulations in conventional Monte Carlo flows, this paper presents an intrusive spectral simulator for statistical circuit analysis. Our simulator employs the recently developed generalized polynomial chaos expansion to perform uncertainty quantification of nonlinear transistor circuits with both Gaussian and non-Gaussian random parameters. We modify the nonintrusive stochastic collocation (SC) method and develop an intrusive variant called stochastic testing (ST) method to acc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1409.4831","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1409.4831","created_at":"2026-05-18T00:57:51.509101+00:00"},{"alias_kind":"arxiv_version","alias_value":"1409.4831v1","created_at":"2026-05-18T00:57:51.509101+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1409.4831","created_at":"2026-05-18T00:57:51.509101+00:00"},{"alias_kind":"pith_short_12","alias_value":"2ZONJN4TRSM7","created_at":"2026-05-18T12:28:11.866339+00:00"},{"alias_kind":"pith_short_16","alias_value":"2ZONJN4TRSM7VMIG","created_at":"2026-05-18T12:28:11.866339+00:00"},{"alias_kind":"pith_short_8","alias_value":"2ZONJN4T","created_at":"2026-05-18T12:28:11.866339+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2ZONJN4TRSM7VMIGTKNVSKH7XJ","json":"https://pith.science/pith/2ZONJN4TRSM7VMIGTKNVSKH7XJ.json","graph_json":"https://pith.science/api/pith-number/2ZONJN4TRSM7VMIGTKNVSKH7XJ/graph.json","events_json":"https://pith.science/api/pith-number/2ZONJN4TRSM7VMIGTKNVSKH7XJ/events.json","paper":"https://pith.science/paper/2ZONJN4T"},"agent_actions":{"view_html":"https://pith.science/pith/2ZONJN4TRSM7VMIGTKNVSKH7XJ","download_json":"https://pith.science/pith/2ZONJN4TRSM7VMIGTKNVSKH7XJ.json","view_paper":"https://pith.science/paper/2ZONJN4T","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1409.4831&json=true","fetch_graph":"https://pith.science/api/pith-number/2ZONJN4TRSM7VMIGTKNVSKH7XJ/graph.json","fetch_events":"https://pith.science/api/pith-number/2ZONJN4TRSM7VMIGTKNVSKH7XJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2ZONJN4TRSM7VMIGTKNVSKH7XJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2ZONJN4TRSM7VMIGTKNVSKH7XJ/action/storage_attestation","attest_author":"https://pith.science/pith/2ZONJN4TRSM7VMIGTKNVSKH7XJ/action/author_attestation","sign_citation":"https://pith.science/pith/2ZONJN4TRSM7VMIGTKNVSKH7XJ/action/citation_signature","submit_replication":"https://pith.science/pith/2ZONJN4TRSM7VMIGTKNVSKH7XJ/action/replication_record"}},"created_at":"2026-05-18T00:57:51.509101+00:00","updated_at":"2026-05-18T00:57:51.509101+00:00"}