{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ALRJ23LNX6DRGST6M46NMEKFQE","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":"acaff18c13aa5420cd409db0ff8e906665e3bec4b3bd588593e16373f7b2cd60","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-06T06:51:15Z","title_canon_sha256":"486534fb677b41f68773067a5915a9e8678d6037b4f8c316104239cfcb7370a8"},"schema_version":"1.0","source":{"id":"2309.02784","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.02784","created_at":"2026-07-05T07:23:28Z"},{"alias_kind":"arxiv_version","alias_value":"2309.02784v2","created_at":"2026-07-05T07:23:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.02784","created_at":"2026-07-05T07:23:28Z"},{"alias_kind":"pith_short_12","alias_value":"ALRJ23LNX6DR","created_at":"2026-07-05T07:23:28Z"},{"alias_kind":"pith_short_16","alias_value":"ALRJ23LNX6DRGST6","created_at":"2026-07-05T07:23:28Z"},{"alias_kind":"pith_short_8","alias_value":"ALRJ23LN","created_at":"2026-07-05T07:23:28Z"}],"graph_snapshots":[{"event_id":"sha256:d64afc537446c52424ce9a8c1d967eff9ee1ad4ca1fdea54b2d3796d61d63a7d","target":"graph","created_at":"2026-07-05T07:23:28Z","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/2309.02784/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As the size of large language models (LLMs) continues to grow, model compression without sacrificing accuracy has become a crucial challenge for deployment. While some quantization methods, such as GPTQ, have made progress in achieving acceptable 4-bit weight-only quantization, attempts at lower-bit quantization often result in severe performance degradation. In this paper, we introduce a technique called norm tweaking, which can be used as a plugin in current PTQ methods to achieve high precision while being cost-efficient. Our approach is inspired by the observation that rectifying the quant","authors_text":"Bo Zhang, Liang Li, Qingyuan Li, Xiangxiang Chu","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-06T06:51:15Z","title":"Norm Tweaking: High-performance Low-bit Quantization of Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.02784","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:d84aa44be6e0dcc85c58e35f9fc7f74f2250c849d36bbd22393568b38627a977","target":"record","created_at":"2026-07-05T07:23:28Z","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":"acaff18c13aa5420cd409db0ff8e906665e3bec4b3bd588593e16373f7b2cd60","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-06T06:51:15Z","title_canon_sha256":"486534fb677b41f68773067a5915a9e8678d6037b4f8c316104239cfcb7370a8"},"schema_version":"1.0","source":{"id":"2309.02784","kind":"arxiv","version":2}},"canonical_sha256":"02e29d6d6dbf87134a7e673cd611458103b58a9b9b3db96fb5b8bc47b742f7df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"02e29d6d6dbf87134a7e673cd611458103b58a9b9b3db96fb5b8bc47b742f7df","first_computed_at":"2026-07-05T07:23:28.623580Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:23:28.623580Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XEmE+203Mj/jNU2IoK0nGi6L06coJq1Ws6iZAxt/ghmLdw6oLe0NH7KxATPtHQWVQ8Zgsp4GvGs1VIEzjIt7Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:23:28.624135Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.02784","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d84aa44be6e0dcc85c58e35f9fc7f74f2250c849d36bbd22393568b38627a977","sha256:d64afc537446c52424ce9a8c1d967eff9ee1ad4ca1fdea54b2d3796d61d63a7d"],"state_sha256":"58a1f091941ae70a73e400f7ec6a32cab4357c4c33c521264583cbba9516bc57"}