{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2KXU6VFC3EDZHOHZIFMT5SDYIO","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":"ff70b79ba6b8c2ecfe4ee7403b832deb6a3ccf3f3e0b1151fbc4ff516c909a1d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-09T05:32:21Z","title_canon_sha256":"c0759b987dc6192d69c2231e70e914e5a06814c79973aa3c4614040b1bb85c02"},"schema_version":"1.0","source":{"id":"2505.05799","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.05799","created_at":"2026-07-05T11:00:47Z"},{"alias_kind":"arxiv_version","alias_value":"2505.05799v1","created_at":"2026-07-05T11:00:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.05799","created_at":"2026-07-05T11:00:47Z"},{"alias_kind":"pith_short_12","alias_value":"2KXU6VFC3EDZ","created_at":"2026-07-05T11:00:47Z"},{"alias_kind":"pith_short_16","alias_value":"2KXU6VFC3EDZHOHZ","created_at":"2026-07-05T11:00:47Z"},{"alias_kind":"pith_short_8","alias_value":"2KXU6VFC","created_at":"2026-07-05T11:00:47Z"}],"graph_snapshots":[{"event_id":"sha256:072a8b4119a389dd0efa7a37ec31e6cb80f44b92e927c8611042b84a8e4d1e63","target":"graph","created_at":"2026-07-05T11:00:47Z","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/2505.05799/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mixture-of-Experts (MoE) models face deployment challenges due to their large parameter counts and computational demands. We explore quantization for MoE models and highlight two key insights: 1) linear blocks exhibit varying quantization sensitivity, and 2) divergent expert activation frequencies create heterogeneous computational characteristics. Based on these observations, we introduce MxMoE, a mixed-precision optimization framework for MoE models that considers both algorithmic and system perspectives. MxMoE navigates the design space defined by parameter sensitivity, expert activation dy","authors_text":"Dahua Lin, Haojie Duanmu, Jiangfei Duan, Size Zheng, Xingcheng Zhang, Xiuhong Li, Zhihang Yuan","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-09T05:32:21Z","title":"MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.05799","kind":"arxiv","version":1},"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":"sha256:47280da5ce034926524d6b0d28922eb1b9b15bffe21ed8d234b47b2387249ea2","target":"record","created_at":"2026-07-05T11:00:47Z","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":"ff70b79ba6b8c2ecfe4ee7403b832deb6a3ccf3f3e0b1151fbc4ff516c909a1d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-09T05:32:21Z","title_canon_sha256":"c0759b987dc6192d69c2231e70e914e5a06814c79973aa3c4614040b1bb85c02"},"schema_version":"1.0","source":{"id":"2505.05799","kind":"arxiv","version":1}},"canonical_sha256":"d2af4f54a2d90793b8f941593ec878438304153c11a81512bd886f32bc870877","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d2af4f54a2d90793b8f941593ec878438304153c11a81512bd886f32bc870877","first_computed_at":"2026-07-05T11:00:47.838462Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:00:47.838462Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"B+KXYVBRiNvL85rg1AErAovzVK/MjvUGSbeRd/Ep+FIsDe/91+HdVyydY7Zct52st/1NVRJIBSbltcm/9YCzDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:00:47.838949Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.05799","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:47280da5ce034926524d6b0d28922eb1b9b15bffe21ed8d234b47b2387249ea2","sha256:072a8b4119a389dd0efa7a37ec31e6cb80f44b92e927c8611042b84a8e4d1e63"],"state_sha256":"74e4cc489e0abf4fb4b3cf820460d6bfdd6e4bc1fb4ee86e83af386066d9e387"}