{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ZZC6IAHP4TOX236L4K2G5IH6TX","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":"a94d19e37c7abb8c0d6cfe4b88db145e46f617a6baf192d518f4356e1d142d9c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-09T09:11:33Z","title_canon_sha256":"a7662fa0bb6115522d6eb580dc2fd5766425cc855c5a8d41005bcb2116f72cbf"},"schema_version":"1.0","source":{"id":"2606.10610","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.10610","created_at":"2026-06-10T01:10:29Z"},{"alias_kind":"arxiv_version","alias_value":"2606.10610v1","created_at":"2026-06-10T01:10:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.10610","created_at":"2026-06-10T01:10:29Z"},{"alias_kind":"pith_short_12","alias_value":"ZZC6IAHP4TOX","created_at":"2026-06-10T01:10:29Z"},{"alias_kind":"pith_short_16","alias_value":"ZZC6IAHP4TOX236L","created_at":"2026-06-10T01:10:29Z"},{"alias_kind":"pith_short_8","alias_value":"ZZC6IAHP","created_at":"2026-06-10T01:10:29Z"}],"graph_snapshots":[{"event_id":"sha256:b04cedf2160fde0a3e4b849b036e9055c37cde45386eea8f3f724d2119f10a48","target":"graph","created_at":"2026-06-10T01:10:29Z","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/2606.10610/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Parameter-Efficient Fine-Tuning (PEFT) has become essential for adapting foundation models to downstream NLP tasks. However, current PEFT methods often struggle with robustness to noise and performance degradation on limited training data. We propose SDBN (Small Data Big Noise), a unified framework that brings adversarial training to PEFT - a combination that remains less studied in the PEFT setting despite its complementary strengths - to enhance model robustness and generalization, outperforming alternative approaches. We also introduce two variants of the method that use discrete uncertaint","authors_text":"Eitan Cohen, Idan Simai, Uri Shaham","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-09T09:11:33Z","title":"Small Data, Big Noise: Adversarial Training for Robust Parameter-Efficient Fine-Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.10610","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":"sha256:7d69832c564a2d1809aebc07e27c30c7a3e85e508e28dbdf97519086a3887f74","target":"record","created_at":"2026-06-10T01:10:29Z","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":"a94d19e37c7abb8c0d6cfe4b88db145e46f617a6baf192d518f4356e1d142d9c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-09T09:11:33Z","title_canon_sha256":"a7662fa0bb6115522d6eb580dc2fd5766425cc855c5a8d41005bcb2116f72cbf"},"schema_version":"1.0","source":{"id":"2606.10610","kind":"arxiv","version":1}},"canonical_sha256":"ce45e400efe4dd7d6fcbe2b46ea0fe9dd4e9fcfc3a40596e8f07db64f07a9aa9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ce45e400efe4dd7d6fcbe2b46ea0fe9dd4e9fcfc3a40596e8f07db64f07a9aa9","first_computed_at":"2026-06-10T01:10:29.363654Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-10T01:10:29.363654Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4sGzHZWz5Tov4p8BWSYBGPwiyzXqa0IrIdA0uctYCiKg7fUFUTR0jIHgXjPQVjTaWdWTjjF//ckXWxtK/WATAw==","signature_status":"signed_v1","signed_at":"2026-06-10T01:10:29.364152Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.10610","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7d69832c564a2d1809aebc07e27c30c7a3e85e508e28dbdf97519086a3887f74","sha256:b04cedf2160fde0a3e4b849b036e9055c37cde45386eea8f3f724d2119f10a48"],"state_sha256":"266872d5dba2853f7f1acf0f821d72c34572c1f11c3ed4e4179b00d71119eea5"}