{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UQUV7JQ77MJK7PPRNCESCJPWQQ","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":"b33d26afc00e0f3f69bae79dab6c89639f99ebb64e081027783678e6ba7d331b","cross_cats_sorted":["cs.CL","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-23T22:00:56Z","title_canon_sha256":"eddc4d37aef2feac92698b1742d63af86f8cec3142b7f16a68cdf48af35293f5"},"schema_version":"1.0","source":{"id":"2503.18225","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.18225","created_at":"2026-07-05T11:04:47Z"},{"alias_kind":"arxiv_version","alias_value":"2503.18225v2","created_at":"2026-07-05T11:04:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.18225","created_at":"2026-07-05T11:04:47Z"},{"alias_kind":"pith_short_12","alias_value":"UQUV7JQ77MJK","created_at":"2026-07-05T11:04:47Z"},{"alias_kind":"pith_short_16","alias_value":"UQUV7JQ77MJK7PPR","created_at":"2026-07-05T11:04:47Z"},{"alias_kind":"pith_short_8","alias_value":"UQUV7JQ7","created_at":"2026-07-05T11:04:47Z"}],"graph_snapshots":[{"event_id":"sha256:d826527452b89ff24f961ab0c099d1de65a63697636767d045a139c30d9892cf","target":"graph","created_at":"2026-07-05T11:04:47Z","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/2503.18225/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Parameter-Efficient FineTuning (PEFT) methods have recently gained significant popularity thanks to the widespread availability of large-scale pretrained models. These methods allow for quick adaptation to downstream tasks with minimal computational cost. However, popular finetuning methods such as LoRA exhibit limited robustness when it comes to hyperparameter choices or extended training regimes, preventing optimal out-of-the-box performance. In contrast, bounded approaches, such as ETHER, provide greater robustness but are limited to extremely low-rank adaptations and fixed-strength transfo","authors_text":"Leander Girrbach, Massimo Bini, Zeynep Akata","cross_cats":["cs.CL","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-23T22:00:56Z","title":"DeLoRA: Decoupling Angles and Strength in Low-rank Adaptation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.18225","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":"sha256:8766c6905618491a46e67256b90ddf6abe9987877e40375bfe05b1717b768b16","target":"record","created_at":"2026-07-05T11:04:47Z","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":"b33d26afc00e0f3f69bae79dab6c89639f99ebb64e081027783678e6ba7d331b","cross_cats_sorted":["cs.CL","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-23T22:00:56Z","title_canon_sha256":"eddc4d37aef2feac92698b1742d63af86f8cec3142b7f16a68cdf48af35293f5"},"schema_version":"1.0","source":{"id":"2503.18225","kind":"arxiv","version":2}},"canonical_sha256":"a4295fa61ffb12afbdf168892125f68416e2957bb16a81fe967a800051b45f90","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a4295fa61ffb12afbdf168892125f68416e2957bb16a81fe967a800051b45f90","first_computed_at":"2026-07-05T11:04:47.618913Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:04:47.618913Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OgLAgm3Bjg/A8WgcTmIVJWP+VVPVmSjIbIBdK2Yu2rMfX7NNyVIfHLfwQHVKn11UhaXcT3octTohgdzJeDiJDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:04:47.619408Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.18225","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8766c6905618491a46e67256b90ddf6abe9987877e40375bfe05b1717b768b16","sha256:d826527452b89ff24f961ab0c099d1de65a63697636767d045a139c30d9892cf"],"state_sha256":"7f3e46f58b3f015333551185346fdbebaaf83bad082b37d0176b06dd5ea96e41"}