{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:U3QACPLUIQXESFR6DULGQ62NZ2","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":"0d7844329dbe46e5a124cc01fae4465569d014a7460820839a5d197b21c9a60b","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-23T09:47:27Z","title_canon_sha256":"6aab042dfdab0d60e29c481aef804d6fec03f3db23e4f6419b9966efd1eb43cf"},"schema_version":"1.0","source":{"id":"2402.15231","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.15231","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"arxiv_version","alias_value":"2402.15231v1","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.15231","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"pith_short_12","alias_value":"U3QACPLUIQXE","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"pith_short_16","alias_value":"U3QACPLUIQXESFR6","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"pith_short_8","alias_value":"U3QACPLU","created_at":"2026-07-05T07:48:37Z"}],"graph_snapshots":[{"event_id":"sha256:b70656f76f37789b3096b97b34b1b15e7704cfa4ecb0677e26bd48ab5e4499ff","target":"graph","created_at":"2026-07-05T07:48:37Z","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/2402.15231/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transfer learning methods endeavor to leverage relevant knowledge from existing source pre-trained models or datasets to solve downstream target tasks. With the increase in the scale and quantity of available pre-trained models nowadays, it becomes critical to assess in advance whether they are suitable for a specific target task. Model transferability estimation is an emerging and growing area of interest, aiming to propose a metric to quantify this suitability without training them individually, which is computationally prohibitive. Despite extensive recent advances already devoted to this a","authors_text":"Aihua Zheng, Aijing Yu, Bo Jiang, Jian Liang, Yuhe Ding","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-23T09:47:27Z","title":"Which Model to Transfer? A Survey on Transferability Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.15231","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":"sha256:87a6ffcd21e32ed0bbd37bb620d89aee503c32e01f5ae9cb984a7007cad3aa2d","target":"record","created_at":"2026-07-05T07:48:37Z","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":"0d7844329dbe46e5a124cc01fae4465569d014a7460820839a5d197b21c9a60b","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-23T09:47:27Z","title_canon_sha256":"6aab042dfdab0d60e29c481aef804d6fec03f3db23e4f6419b9966efd1eb43cf"},"schema_version":"1.0","source":{"id":"2402.15231","kind":"arxiv","version":1}},"canonical_sha256":"a6e0013d74442e49163e1d16687b4dce8e8e5cc06c158733c0edad6e73c13a21","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a6e0013d74442e49163e1d16687b4dce8e8e5cc06c158733c0edad6e73c13a21","first_computed_at":"2026-07-05T07:48:37.815748Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:48:37.815748Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XQQ4S9kKH4ybxTuo44t225MQgyTtaohoaldzd11pHji9bQ+rqg2OXBvtVpuyuXEJG3GvdEGR1J1N76wilkE1DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:48:37.816216Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.15231","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:87a6ffcd21e32ed0bbd37bb620d89aee503c32e01f5ae9cb984a7007cad3aa2d","sha256:b70656f76f37789b3096b97b34b1b15e7704cfa4ecb0677e26bd48ab5e4499ff"],"state_sha256":"b14b49bb75385058e7506e222fa755e52ed69ab6eb97d388b68a813a85d3fef2"}