{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:3YVM7YZULOCX5FCBZLRTWFY5X6","short_pith_number":"pith:3YVM7YZU","schema_version":"1.0","canonical_sha256":"de2acfe3345b857e9441cae33b171dbf892feed335520dd005b183f208a9f772","source":{"kind":"arxiv","id":"1610.04272","version":1},"attestation_state":"computed","paper":{"title":"Tensor Computation: A New Framework for High-Dimensional Problems in EDA","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.NA","stat.CO"],"primary_cat":"cs.NA","authors_text":"Haotian Liu, Kim Batselier, Luca Daniel, Ngai Wong, Zheng Zhang","submitted_at":"2016-10-13T21:56:14Z","abstract_excerpt":"Many critical EDA problems suffer from the curse of dimensionality, i.e. the very fast-scaling computational burden produced by large number of parameters and/or unknown variables. This phenomenon may be caused by multiple spatial or temporal factors (e.g. 3-D field solvers discretizations and multi-rate circuit simulation), nonlinearity of devices and circuits, large number of design or optimization parameters (e.g. full-chip routing/placement and circuit sizing), or extensive process variations (e.g. variability/reliability analysis and design for manufacturability). The computational challe"},"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":"1610.04272","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NA","submitted_at":"2016-10-13T21:56:14Z","cross_cats_sorted":["math.NA","stat.CO"],"title_canon_sha256":"f0a816cf94c75700cc8d92e83adcb6f1a02d4cb9c642f82d0470130638e02daa","abstract_canon_sha256":"453c6171d0650fe50317287435c71c254c04a2cfdba004ab60e551e815134f76"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:57:45.386633Z","signature_b64":"WPIA7/EsXsvY0VuY65BkUB4tIOR0LPxHh3gb03wPfA7PFLzMpPxSkw8QpmR6x5o6q2InYGjNWUqOT6sYEHj7DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"de2acfe3345b857e9441cae33b171dbf892feed335520dd005b183f208a9f772","last_reissued_at":"2026-05-18T00:57:45.386133Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:57:45.386133Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Tensor Computation: A New Framework for High-Dimensional Problems in EDA","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.NA","stat.CO"],"primary_cat":"cs.NA","authors_text":"Haotian Liu, Kim Batselier, Luca Daniel, Ngai Wong, Zheng Zhang","submitted_at":"2016-10-13T21:56:14Z","abstract_excerpt":"Many critical EDA problems suffer from the curse of dimensionality, i.e. the very fast-scaling computational burden produced by large number of parameters and/or unknown variables. This phenomenon may be caused by multiple spatial or temporal factors (e.g. 3-D field solvers discretizations and multi-rate circuit simulation), nonlinearity of devices and circuits, large number of design or optimization parameters (e.g. full-chip routing/placement and circuit sizing), or extensive process variations (e.g. variability/reliability analysis and design for manufacturability). The computational challe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.04272","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":"1610.04272","created_at":"2026-05-18T00:57:45.386212+00:00"},{"alias_kind":"arxiv_version","alias_value":"1610.04272v1","created_at":"2026-05-18T00:57:45.386212+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.04272","created_at":"2026-05-18T00:57:45.386212+00:00"},{"alias_kind":"pith_short_12","alias_value":"3YVM7YZULOCX","created_at":"2026-05-18T12:29:58.707656+00:00"},{"alias_kind":"pith_short_16","alias_value":"3YVM7YZULOCX5FCB","created_at":"2026-05-18T12:29:58.707656+00:00"},{"alias_kind":"pith_short_8","alias_value":"3YVM7YZU","created_at":"2026-05-18T12:29:58.707656+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/3YVM7YZULOCX5FCBZLRTWFY5X6","json":"https://pith.science/pith/3YVM7YZULOCX5FCBZLRTWFY5X6.json","graph_json":"https://pith.science/api/pith-number/3YVM7YZULOCX5FCBZLRTWFY5X6/graph.json","events_json":"https://pith.science/api/pith-number/3YVM7YZULOCX5FCBZLRTWFY5X6/events.json","paper":"https://pith.science/paper/3YVM7YZU"},"agent_actions":{"view_html":"https://pith.science/pith/3YVM7YZULOCX5FCBZLRTWFY5X6","download_json":"https://pith.science/pith/3YVM7YZULOCX5FCBZLRTWFY5X6.json","view_paper":"https://pith.science/paper/3YVM7YZU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1610.04272&json=true","fetch_graph":"https://pith.science/api/pith-number/3YVM7YZULOCX5FCBZLRTWFY5X6/graph.json","fetch_events":"https://pith.science/api/pith-number/3YVM7YZULOCX5FCBZLRTWFY5X6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3YVM7YZULOCX5FCBZLRTWFY5X6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3YVM7YZULOCX5FCBZLRTWFY5X6/action/storage_attestation","attest_author":"https://pith.science/pith/3YVM7YZULOCX5FCBZLRTWFY5X6/action/author_attestation","sign_citation":"https://pith.science/pith/3YVM7YZULOCX5FCBZLRTWFY5X6/action/citation_signature","submit_replication":"https://pith.science/pith/3YVM7YZULOCX5FCBZLRTWFY5X6/action/replication_record"}},"created_at":"2026-05-18T00:57:45.386212+00:00","updated_at":"2026-05-18T00:57:45.386212+00:00"}