{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:E5ETLXGEHA6CZXUG7AF42DBMDG","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":"0dc783cdd1cce25d877662e742123c4ebb6718851813c797a98966884749ff49","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-08-05T02:30:13Z","title_canon_sha256":"df21a7b757efc1cbf6c1701135ca919599e396c3bfddac9d500dae54ec548f69"},"schema_version":"1.0","source":{"id":"2108.02340","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.02340","created_at":"2026-07-05T03:03:31Z"},{"alias_kind":"arxiv_version","alias_value":"2108.02340v1","created_at":"2026-07-05T03:03:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.02340","created_at":"2026-07-05T03:03:31Z"},{"alias_kind":"pith_short_12","alias_value":"E5ETLXGEHA6C","created_at":"2026-07-05T03:03:31Z"},{"alias_kind":"pith_short_16","alias_value":"E5ETLXGEHA6CZXUG","created_at":"2026-07-05T03:03:31Z"},{"alias_kind":"pith_short_8","alias_value":"E5ETLXGE","created_at":"2026-07-05T03:03:31Z"}],"graph_snapshots":[{"event_id":"sha256:3d9797f60e8bfa6bb0dbe5e34f702d788f1066fcab4fbe2675747c3a294f1d37","target":"graph","created_at":"2026-07-05T03:03:31Z","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/2108.02340/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transfer learning with large pretrained transformer-based language models like BERT has become a dominating approach for most NLP tasks. Simply fine-tuning those large language models on downstream tasks or combining it with task-specific pretraining is often not robust. In particular, the performance considerably varies as the random seed changes or the number of pretraining and/or fine-tuning iterations varies, and the fine-tuned model is vulnerable to adversarial attack. We propose a simple yet effective adapter-based approach to mitigate these issues. Specifically, we insert small bottlene","authors_text":"Bo Pang, Wenjuan Han, Yingnian Wu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-08-05T02:30:13Z","title":"Robust Transfer Learning with Pretrained Language Models through Adapters"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.02340","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:b1b86562de9be892ceccc2fca4031206f74d8c0376d59cb64c125cc63093faea","target":"record","created_at":"2026-07-05T03:03:31Z","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":"0dc783cdd1cce25d877662e742123c4ebb6718851813c797a98966884749ff49","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-08-05T02:30:13Z","title_canon_sha256":"df21a7b757efc1cbf6c1701135ca919599e396c3bfddac9d500dae54ec548f69"},"schema_version":"1.0","source":{"id":"2108.02340","kind":"arxiv","version":1}},"canonical_sha256":"274935dcc4383c2cde86f80bcd0c2c19800dcfd4950bd9e5dff8cabb5197de33","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"274935dcc4383c2cde86f80bcd0c2c19800dcfd4950bd9e5dff8cabb5197de33","first_computed_at":"2026-07-05T03:03:31.923801Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:03:31.923801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fNZln6KvRk6BQKHSv/k8prneKq+Wpg/q2bDziplutjjUO7brMVB+Z4kRPre7NxwaM8f+jwqIE5/ibrH1xFBXDg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:03:31.924193Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.02340","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b1b86562de9be892ceccc2fca4031206f74d8c0376d59cb64c125cc63093faea","sha256:3d9797f60e8bfa6bb0dbe5e34f702d788f1066fcab4fbe2675747c3a294f1d37"],"state_sha256":"f4502f48263b34699e9c9bc7024139f5d19ea1445f423f94f7d3393ca064b48f"}