{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EZVFTG5EWE7JYNM4GVZP22ZYSD","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":"c3c36463d5b87878334ef48029b038b0c44e7a5f58313c50ca99b28a64096d39","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-18T02:42:17Z","title_canon_sha256":"a41b5931e987ef1bd024fbcebd149c4dac6fb646de202fce92a316d8c1fd8085"},"schema_version":"1.0","source":{"id":"2310.11670","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.11670","created_at":"2026-07-05T07:11:36Z"},{"alias_kind":"arxiv_version","alias_value":"2310.11670v3","created_at":"2026-07-05T07:11:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.11670","created_at":"2026-07-05T07:11:36Z"},{"alias_kind":"pith_short_12","alias_value":"EZVFTG5EWE7J","created_at":"2026-07-05T07:11:36Z"},{"alias_kind":"pith_short_16","alias_value":"EZVFTG5EWE7JYNM4","created_at":"2026-07-05T07:11:36Z"},{"alias_kind":"pith_short_8","alias_value":"EZVFTG5E","created_at":"2026-07-05T07:11:36Z"}],"graph_snapshots":[{"event_id":"sha256:30137fb52c3d54f3cec4307f10ec6678699dada31679736f482f3dff6c1ae597","target":"graph","created_at":"2026-07-05T07:11:36Z","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/2310.11670/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Parameter-efficient fine-tuning (PEFT) has shown its effectiveness in adapting the pre-trained language models to downstream tasks while only updating a small number of parameters. Despite the success, most existing methods independently adapt to each task without considering knowledge transfer between tasks and are limited to low-data regimes. To overcome this issue, we propose Prototype-based HyperAdapter (PHA), a novel framework built on the adapter-tuning and hypernetwork. It introduces an instance-dense retriever and a prototypical hypernetwork to generate the conditional modules in a sam","authors_text":"Hao Zhao, Jie Fu, Zhaofeng He","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-18T02:42:17Z","title":"Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.11670","kind":"arxiv","version":3},"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":"sha256:15c167a38548e69951b47f26c95cca448e1fa0f6f15b1f0ea4593e8f7b103f06","target":"record","created_at":"2026-07-05T07:11:36Z","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":"c3c36463d5b87878334ef48029b038b0c44e7a5f58313c50ca99b28a64096d39","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-18T02:42:17Z","title_canon_sha256":"a41b5931e987ef1bd024fbcebd149c4dac6fb646de202fce92a316d8c1fd8085"},"schema_version":"1.0","source":{"id":"2310.11670","kind":"arxiv","version":3}},"canonical_sha256":"266a599ba4b13e9c359c3572fd6b3890e6afc4d49cf97497424333238f55ba8d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"266a599ba4b13e9c359c3572fd6b3890e6afc4d49cf97497424333238f55ba8d","first_computed_at":"2026-07-05T07:11:36.924486Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:11:36.924486Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OTHFH0MXER43u6I2qxENM44kgPEUQGIh7htio3k0Z9OJ6C08EDu5Us5eU0q30tbfic2WAw2pafnFsR/LI6nSCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:11:36.924964Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.11670","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:15c167a38548e69951b47f26c95cca448e1fa0f6f15b1f0ea4593e8f7b103f06","sha256:30137fb52c3d54f3cec4307f10ec6678699dada31679736f482f3dff6c1ae597"],"state_sha256":"0c31a39250ad40e53d162b2438cad25dcde23b9ef487da63def1806acbf77f50"}