{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:QNZUFCNFYOYTZPP6RAZZN6E46B","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":"b65b90264f655de816038743948abdcd5a4d1aa210c70619d68305b2cf567e5f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.NE","submitted_at":"2023-07-11T15:56:00Z","title_canon_sha256":"17b995899a839568da2e8085de6eae227502ad97edf87bf232fded4c6dd8d4cc"},"schema_version":"1.0","source":{"id":"2307.05657","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.05657","created_at":"2026-07-05T10:45:49Z"},{"alias_kind":"arxiv_version","alias_value":"2307.05657v2","created_at":"2026-07-05T10:45:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.05657","created_at":"2026-07-05T10:45:49Z"},{"alias_kind":"pith_short_12","alias_value":"QNZUFCNFYOYT","created_at":"2026-07-05T10:45:49Z"},{"alias_kind":"pith_short_16","alias_value":"QNZUFCNFYOYTZPP6","created_at":"2026-07-05T10:45:49Z"},{"alias_kind":"pith_short_8","alias_value":"QNZUFCNF","created_at":"2026-07-05T10:45:49Z"}],"graph_snapshots":[{"event_id":"sha256:9b4e7842d61c52c7cac9f2f6edd98f854b53b8b1f2f0eb0936b63a060cf36257","target":"graph","created_at":"2026-07-05T10:45:49Z","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/2307.05657/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantization is a widely used technique to compress neural networks. Assigning uniform bit-widths across all layers can result in significant accuracy degradation at low precision and inefficiency at high precision. Mixed-precision quantization (MPQ) addresses this by assigning varied bit-widths to layers, optimizing the accuracy-efficiency trade-off. Existing sensitivity-based methods for MPQ assume that quantization errors across layers are independent, which leads to suboptimal choices. We introduce CLADO, a practical sensitivity-based MPQ algorithm that captures cross-layer dependency of q","authors_text":"Michael Orshansky, Sayeh Sharify, Xin Wang, Zihao Deng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.NE","submitted_at":"2023-07-11T15:56:00Z","title":"Mixed-Precision Quantization for Deep Vision Models with Integer Quadratic Programming"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.05657","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":"sha256:6937b17d797a1c45108732b2ce0df1a19fdbd37c44be8bc4f0056d65db39eaf7","target":"record","created_at":"2026-07-05T10:45:49Z","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":"b65b90264f655de816038743948abdcd5a4d1aa210c70619d68305b2cf567e5f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.NE","submitted_at":"2023-07-11T15:56:00Z","title_canon_sha256":"17b995899a839568da2e8085de6eae227502ad97edf87bf232fded4c6dd8d4cc"},"schema_version":"1.0","source":{"id":"2307.05657","kind":"arxiv","version":2}},"canonical_sha256":"83734289a5c3b13cbdfe883396f89cf05f3751b82b408ee08fe2a4eee75e411c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"83734289a5c3b13cbdfe883396f89cf05f3751b82b408ee08fe2a4eee75e411c","first_computed_at":"2026-07-05T10:45:49.626224Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:45:49.626224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LC79PULRSkiLl5KlzusNMu3zboQ+DRobBfEXyogZiGt4NGA0EJ2j9ENrdHVV+c5nZ5yMldtW9Ka1sARX5a5yDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:45:49.626643Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.05657","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6937b17d797a1c45108732b2ce0df1a19fdbd37c44be8bc4f0056d65db39eaf7","sha256:9b4e7842d61c52c7cac9f2f6edd98f854b53b8b1f2f0eb0936b63a060cf36257"],"state_sha256":"2ed8e8b07cfc0fcfed603eae85447f028e06f1da989b92af118451f42bd5c059"}