{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WHHPFFNT5YHRQZCDJLBFEJVZZJ","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":"0a10a16d7e18ca7c59fa0c7bb4aacc2bcadef60bacc3bbe4006e92f7853e839b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-21T19:04:02Z","title_canon_sha256":"8fb2cb8b168880bdc373cddb8e727d3b201f8b55bade58191ae237f10913e658"},"schema_version":"1.0","source":{"id":"2411.15231","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.15231","created_at":"2026-07-05T10:49:11Z"},{"alias_kind":"arxiv_version","alias_value":"2411.15231v2","created_at":"2026-07-05T10:49:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.15231","created_at":"2026-07-05T10:49:11Z"},{"alias_kind":"pith_short_12","alias_value":"WHHPFFNT5YHR","created_at":"2026-07-05T10:49:11Z"},{"alias_kind":"pith_short_16","alias_value":"WHHPFFNT5YHRQZCD","created_at":"2026-07-05T10:49:11Z"},{"alias_kind":"pith_short_8","alias_value":"WHHPFFNT","created_at":"2026-07-05T10:49:11Z"}],"graph_snapshots":[{"event_id":"sha256:4796d7c6079f1466d8c21f47b0df79690faba4a4a9fa812d03835d943734d4e7","target":"graph","created_at":"2026-07-05T10:49:11Z","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/2411.15231/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Low-rank adaptations (LoRA) are widely used to fine-tune large models across various domains for specific downstream tasks. While task-specific LoRAs are often available, concerns about data privacy and intellectual property can restrict access to training data, limiting the acquisition of a multi-task model through gradient-based training. In response, LoRA merging presents an effective solution by combining multiple LoRAs into a unified adapter while maintaining data privacy. Prior works on LoRA merging primarily frame it as an optimization problem, yet these approaches face several limitati","authors_text":"Bowei Zhu, Hongxu Chen, Long Chen, Runshi Li, Zhen Wang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-21T19:04:02Z","title":"IterIS: Iterative Inference-Solving Alignment for LoRA Merging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.15231","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":"sha256:9bd25af5f5510165181bb1fc4b954e9c477ced4d74eeea482ebdc8cec924d774","target":"record","created_at":"2026-07-05T10:49:11Z","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":"0a10a16d7e18ca7c59fa0c7bb4aacc2bcadef60bacc3bbe4006e92f7853e839b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-21T19:04:02Z","title_canon_sha256":"8fb2cb8b168880bdc373cddb8e727d3b201f8b55bade58191ae237f10913e658"},"schema_version":"1.0","source":{"id":"2411.15231","kind":"arxiv","version":2}},"canonical_sha256":"b1cef295b3ee0f1864434ac25226b9ca69d66cb15b7624e1fdbf346429515b04","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b1cef295b3ee0f1864434ac25226b9ca69d66cb15b7624e1fdbf346429515b04","first_computed_at":"2026-07-05T10:49:11.294917Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:49:11.294917Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gckXNYAJp47CtvDRtgjFSz+sbFBtOuJ79i9TlLlHmjeomkz69kEzRQRwo0Vk9DGAbxBoRlm1QEZGGhAjohyLBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:49:11.295366Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.15231","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9bd25af5f5510165181bb1fc4b954e9c477ced4d74eeea482ebdc8cec924d774","sha256:4796d7c6079f1466d8c21f47b0df79690faba4a4a9fa812d03835d943734d4e7"],"state_sha256":"a2be785b99a018c7218f919b514e04a3a99f2180943a6fd0fb145c6b7c929096"}