{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MZPNCN2IDFTZETUXHPCHTTD3GL","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":"f66a4447744af110551dd09bcdb00797f35473e50ac7d2991276b20d14839278","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-20T18:57:41Z","title_canon_sha256":"6ffd1f3284ff030aab5343398e523a0e72bc887ec13c18b4f965721c36d080ab"},"schema_version":"1.0","source":{"id":"2311.12023","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.12023","created_at":"2026-07-05T08:59:24Z"},{"alias_kind":"arxiv_version","alias_value":"2311.12023v4","created_at":"2026-07-05T08:59:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.12023","created_at":"2026-07-05T08:59:24Z"},{"alias_kind":"pith_short_12","alias_value":"MZPNCN2IDFTZ","created_at":"2026-07-05T08:59:24Z"},{"alias_kind":"pith_short_16","alias_value":"MZPNCN2IDFTZETUX","created_at":"2026-07-05T08:59:24Z"},{"alias_kind":"pith_short_8","alias_value":"MZPNCN2I","created_at":"2026-07-05T08:59:24Z"}],"graph_snapshots":[{"event_id":"sha256:53bebb25a6e15184f742ba028621db1a9448e7f73af3ad1cea9712223819b502","target":"graph","created_at":"2026-07-05T08:59:24Z","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/2311.12023/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a simple approach for memory-efficient adaptation of pretrained language models. Our approach uses an iterative algorithm to decompose each pretrained matrix into a high-precision low-rank component and a memory-efficient quantized component. During finetuning, the quantized component remains fixed and only the low-rank component is updated. We present an integer linear programming formulation of the quantization component which enables dynamic configuration of quantization parameters (e.g., bit-width, block size) for each matrix given an overall target memory budget. We further exp","authors_text":"Eric P. Xing, Han Guo, Philip Greengard, Yoon Kim","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-20T18:57:41Z","title":"LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.12023","kind":"arxiv","version":4},"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:f52b690a220873679b98e3baa63dc05ce1b912c76193ef367bf9d7ff91f4faf1","target":"record","created_at":"2026-07-05T08:59:24Z","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":"f66a4447744af110551dd09bcdb00797f35473e50ac7d2991276b20d14839278","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-20T18:57:41Z","title_canon_sha256":"6ffd1f3284ff030aab5343398e523a0e72bc887ec13c18b4f965721c36d080ab"},"schema_version":"1.0","source":{"id":"2311.12023","kind":"arxiv","version":4}},"canonical_sha256":"665ed137481967924e973bc479cc7b32f96e2d1667bba467314b6cdcf7a77295","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"665ed137481967924e973bc479cc7b32f96e2d1667bba467314b6cdcf7a77295","first_computed_at":"2026-07-05T08:59:24.658217Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:59:24.658217Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eJlJQX5WMu7vQzEgVUPIosoWZLP1iv6f+xsh/JsiCFvqDz389ne09w5jNUWQ6CNdtIG72PXDTuIM3R9oBhJNDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:59:24.658801Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.12023","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f52b690a220873679b98e3baa63dc05ce1b912c76193ef367bf9d7ff91f4faf1","sha256:53bebb25a6e15184f742ba028621db1a9448e7f73af3ad1cea9712223819b502"],"state_sha256":"33a97b5d539786f14ff6a74eb54d6463daa68fe071337f69e0f8f736861deb4e"}