{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ADP3TZGSVNLORYMVXPR5ICTEC4","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":"34f94b85aad83f5b7390c2a072912c43221d41d5dbb2a1c0bb553be0bf32c881","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-11T04:19:32Z","title_canon_sha256":"69320925f6b9a27711ed1da8d4e1174b9f399f7efd1411fe0e52c778c0ee076e"},"schema_version":"1.0","source":{"id":"2606.12883","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12883","created_at":"2026-06-12T01:08:56Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12883v1","created_at":"2026-06-12T01:08:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12883","created_at":"2026-06-12T01:08:56Z"},{"alias_kind":"pith_short_12","alias_value":"ADP3TZGSVNLO","created_at":"2026-06-12T01:08:56Z"},{"alias_kind":"pith_short_16","alias_value":"ADP3TZGSVNLORYMV","created_at":"2026-06-12T01:08:56Z"},{"alias_kind":"pith_short_8","alias_value":"ADP3TZGS","created_at":"2026-06-12T01:08:56Z"}],"graph_snapshots":[{"event_id":"sha256:f26458a7b6ef1385e6262e6731118ad8c7eec3994c439bfab2541a258a93da05","target":"graph","created_at":"2026-06-12T01:08:56Z","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/2606.12883/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In Low-Rank Adaptation (LoRA), the scaling factor $\\alpha$ is often treated as a mere complement to the learning rate, yet its role in optimization remains poorly understood. In this paper, we reveal that the scaling factor $\\alpha$ and the learning rate function differently, with $\\alpha$ emerging as the dominant driver of effective optimization, delivering gains that cannot be replicated by learning rate scaling alone. Through the synergy of extensive empirical analysis and a theoretical Signal-Drift framework, we uncover three findings into LoRA's scaling mechanism: First, LoRA's spectral s","authors_text":"Anqi Li, Guoqiang Gong, Haoran Li, Jiaxing Wang, Junxing Hu, Pengzhang Liu, Qixia Jiang, Ting Xiong, Yifeng Zhang, Yudong Hu, Yurong Gao, Zhida Jiang, Zicheng Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-11T04:19:32Z","title":"The Hidden Power of Scaling Factor in LoRA Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12883","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":"sha256:6035763503d8aa1fb4b2698a65cf717e90ed84a324562179d48621fe1d5c787d","target":"record","created_at":"2026-06-12T01:08:56Z","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":"34f94b85aad83f5b7390c2a072912c43221d41d5dbb2a1c0bb553be0bf32c881","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-11T04:19:32Z","title_canon_sha256":"69320925f6b9a27711ed1da8d4e1174b9f399f7efd1411fe0e52c778c0ee076e"},"schema_version":"1.0","source":{"id":"2606.12883","kind":"arxiv","version":1}},"canonical_sha256":"00dfb9e4d2ab56e8e195bbe3d40a64171658aae0d98b08062bd89202f22430d1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"00dfb9e4d2ab56e8e195bbe3d40a64171658aae0d98b08062bd89202f22430d1","first_computed_at":"2026-06-12T01:08:56.677119Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-12T01:08:56.677119Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OX9t20oqERw39Mpkyln/NV8y2DQfrsK9H5Ud+FVbLUNJXK7yN75SRApWsfIreLQQtlC40gXEPQJtJX4b29EPCw==","signature_status":"signed_v1","signed_at":"2026-06-12T01:08:56.677998Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.12883","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6035763503d8aa1fb4b2698a65cf717e90ed84a324562179d48621fe1d5c787d","sha256:f26458a7b6ef1385e6262e6731118ad8c7eec3994c439bfab2541a258a93da05"],"state_sha256":"495bc08468cf270c83a08e31c91fb2444967e2333a8016ddaa94d8b2556c88fd"}