{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4T7WIFDDOTEBYFEGYVCADJCU3S","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":"11aa516a5eb2dd63b8fd555d22ce84057c8d9f1f2fd268fff33fc4fa49007278","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-01T17:38:03Z","title_canon_sha256":"4d4b6b4cf77a06707abaae76ea1581e5c2b31fb6400eb944667d93e04a480d4c"},"schema_version":"1.0","source":{"id":"2303.00690","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.00690","created_at":"2026-07-05T05:47:11Z"},{"alias_kind":"arxiv_version","alias_value":"2303.00690v1","created_at":"2026-07-05T05:47:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.00690","created_at":"2026-07-05T05:47:11Z"},{"alias_kind":"pith_short_12","alias_value":"4T7WIFDDOTEB","created_at":"2026-07-05T05:47:11Z"},{"alias_kind":"pith_short_16","alias_value":"4T7WIFDDOTEBYFEG","created_at":"2026-07-05T05:47:11Z"},{"alias_kind":"pith_short_8","alias_value":"4T7WIFDD","created_at":"2026-07-05T05:47:11Z"}],"graph_snapshots":[{"event_id":"sha256:a85b6d3b86da6dd3fc6acb9bce6c67fbf01a4d89ab877030c5586e9e1f3bfe08","target":"graph","created_at":"2026-07-05T05:47:11Z","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/2303.00690/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Parameter-efficient transfer learning (PETL) based on large-scale pre-trained foundation models has achieved great success in various downstream applications. Existing tuning methods, such as prompt, prefix, and adapter, perform task-specific lightweight adjustments to different parts of the original architecture. However, they take effect on only some parts of the pre-trained models, i.e., only the feed-forward layers or the self-attention layers, which leaves the remaining frozen structures unable to adapt to the data distributions of downstream tasks. Further, the existing structures are st","authors_text":"Chaojie Mao, Deli Zhao, Jingren Zhou, Yiliang Lv, Zeyinzi Jiang, Ziyuan Huang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-01T17:38:03Z","title":"Rethinking Efficient Tuning Methods from a Unified Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.00690","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:cd3f6602006269f81643e7ddce6f709d168582c75b0b75f9e209ece15b6b0477","target":"record","created_at":"2026-07-05T05:47:11Z","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":"11aa516a5eb2dd63b8fd555d22ce84057c8d9f1f2fd268fff33fc4fa49007278","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-01T17:38:03Z","title_canon_sha256":"4d4b6b4cf77a06707abaae76ea1581e5c2b31fb6400eb944667d93e04a480d4c"},"schema_version":"1.0","source":{"id":"2303.00690","kind":"arxiv","version":1}},"canonical_sha256":"e4ff64146374c81c1486c54401a454dc9ccb90c254c560f04358e1dd08634484","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e4ff64146374c81c1486c54401a454dc9ccb90c254c560f04358e1dd08634484","first_computed_at":"2026-07-05T05:47:11.662488Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:47:11.662488Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fZbtGgbpPj2UDYCALKrCD1Q8ksX4U1HVtmehCPQOn0y8Gbbr8K6APnyGgzCth0evsjvUltpzanN8T1A6x3gzBw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:47:11.662981Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.00690","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cd3f6602006269f81643e7ddce6f709d168582c75b0b75f9e209ece15b6b0477","sha256:a85b6d3b86da6dd3fc6acb9bce6c67fbf01a4d89ab877030c5586e9e1f3bfe08"],"state_sha256":"2fcf8b0bcdd6d0913198792c1dc7cb9c01de73ce378147e2a53be55ec79d7a88"}