{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BQ33AVXKQOY7W47ZLCIUI6ODU4","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":"450d72066b2c594b8a3a9424bf8cd1de77aeaa878ce26b2c9f8dc0799173c1ea","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T09:45:01Z","title_canon_sha256":"9764f2db7e756141f25326cb279f44bf09515502ae11292d1b2788d8a3927fa1"},"schema_version":"1.0","source":{"id":"2410.06722","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.06722","created_at":"2026-07-05T11:49:47Z"},{"alias_kind":"arxiv_version","alias_value":"2410.06722v3","created_at":"2026-07-05T11:49:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.06722","created_at":"2026-07-05T11:49:47Z"},{"alias_kind":"pith_short_12","alias_value":"BQ33AVXKQOY7","created_at":"2026-07-05T11:49:47Z"},{"alias_kind":"pith_short_16","alias_value":"BQ33AVXKQOY7W47Z","created_at":"2026-07-05T11:49:47Z"},{"alias_kind":"pith_short_8","alias_value":"BQ33AVXK","created_at":"2026-07-05T11:49:47Z"}],"graph_snapshots":[{"event_id":"sha256:1411b0f3ed72f7c55a2b6d4e22a4fba079dd8a2c991b1a0fc80b34562fe6d3c4","target":"graph","created_at":"2026-07-05T11:49:47Z","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/2410.06722/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Post-training quantization of Large Language Models (LLMs) has proven effective in reducing the memory and computational requirements for inference. In this study, we focus on a straightforward question: When aiming for a target accuracy or perplexity with low-precision quantization, how much high-precision computation needs to be preserved, and how fine-grained this quantization would need to be as we scale LLMs to larger sizes? We first introduce two critical metrics, named the quantization ratio ($Q_r$) and quantization block size ($Q_b$). The former measures the number of parameters quanti","authors_text":"Boyang Gu, Cheng Zhang, Jianqiao Lu, Jianyi Cheng, Pedro Gimenes, Xitong Gao, Yiren Zhao, Zeyu Cao","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T09:45:01Z","title":"Scaling Laws For Mixed Quantization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.06722","kind":"arxiv","version":3},"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":"sha256:6cf3fe76bee1413753e0bb7032cd11bb795afe9dce83457da382a8abad49dff4","target":"record","created_at":"2026-07-05T11:49:47Z","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":"450d72066b2c594b8a3a9424bf8cd1de77aeaa878ce26b2c9f8dc0799173c1ea","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T09:45:01Z","title_canon_sha256":"9764f2db7e756141f25326cb279f44bf09515502ae11292d1b2788d8a3927fa1"},"schema_version":"1.0","source":{"id":"2410.06722","kind":"arxiv","version":3}},"canonical_sha256":"0c37b056ea83b1fb73f958914479c3a738717859377c7d0a1be78d0fa417e024","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0c37b056ea83b1fb73f958914479c3a738717859377c7d0a1be78d0fa417e024","first_computed_at":"2026-07-05T11:49:47.464095Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:49:47.464095Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eGIMGU1IUbN4sPeavpGQPJqn5GJz7wcLxg/lW1uF2360ic68M2GJttBcF9aQlmoiTudAQHl8hOwSlkraa/zyDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:49:47.464578Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.06722","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6cf3fe76bee1413753e0bb7032cd11bb795afe9dce83457da382a8abad49dff4","sha256:1411b0f3ed72f7c55a2b6d4e22a4fba079dd8a2c991b1a0fc80b34562fe6d3c4"],"state_sha256":"e9602c721eb2052cebcc0c2ea647bafce33d6f2c751eb2365ee7a2a4bee4d64e"}