{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:DFPIDT2JYFKNK34NVDZO7GMGK4","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":"23940eec2f113a7daf34fc1172c26455f201d021bf20102416cbbe003fb4320d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-18T02:20:18Z","title_canon_sha256":"4fae4c66ec5f69154f7c599cca9dd74f55259dcbdef8ca2a2f7ebda1b7313346"},"schema_version":"1.0","source":{"id":"1907.07844","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.07844","created_at":"2026-05-17T23:40:16Z"},{"alias_kind":"arxiv_version","alias_value":"1907.07844v1","created_at":"2026-05-17T23:40:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.07844","created_at":"2026-05-17T23:40:16Z"},{"alias_kind":"pith_short_12","alias_value":"DFPIDT2JYFKN","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"DFPIDT2JYFKNK34N","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"DFPIDT2J","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:e1c7782d82bd825ebc04c5c2fb7cc49dea267b750e1db3b97b4154a99f9b116b","target":"graph","created_at":"2026-05-17T23:40:16Z","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"},"paper":{"abstract_excerpt":"CNNs have made an undeniable impact on computer vision through the ability to learn high-capacity models with large annotated training sets. One of their remarkable properties is the ability to transfer knowledge from a large source dataset to a (typically smaller) target dataset. This is usually accomplished through fine-tuning a fixed-size network on new target data. Indeed, virtually every contemporary visual recognition system makes use of fine-tuning to transfer knowledge from ImageNet. In this work, we analyze what components and parameters change during fine-tuning, and discover that in","authors_text":"Deva Ramanan, Martial Hebert, Yu-Xiong Wang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-18T02:20:18Z","title":"Growing a Brain: Fine-Tuning by Increasing Model Capacity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.07844","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:e770cc244bbc412b60e423be0a2266d78e1e2553a25b7ffec6955836212649f3","target":"record","created_at":"2026-05-17T23:40:16Z","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":"23940eec2f113a7daf34fc1172c26455f201d021bf20102416cbbe003fb4320d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-18T02:20:18Z","title_canon_sha256":"4fae4c66ec5f69154f7c599cca9dd74f55259dcbdef8ca2a2f7ebda1b7313346"},"schema_version":"1.0","source":{"id":"1907.07844","kind":"arxiv","version":1}},"canonical_sha256":"195e81cf49c154d56f8da8f2ef9986573bf4527f511f0fad5d472b1f73d7448d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"195e81cf49c154d56f8da8f2ef9986573bf4527f511f0fad5d472b1f73d7448d","first_computed_at":"2026-05-17T23:40:16.013815Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:40:16.013815Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NDsln3MbuxNFVBk0QEoHYRE2yMJWMtawnH/SfChPfGmMf9Q7XR/ZtXE4nL9p+AQ+n1pEcR8dgejE2GIFiBvbCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:40:16.014621Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.07844","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e770cc244bbc412b60e423be0a2266d78e1e2553a25b7ffec6955836212649f3","sha256:e1c7782d82bd825ebc04c5c2fb7cc49dea267b750e1db3b97b4154a99f9b116b"],"state_sha256":"43f28c333bac9a6e3c680ecfb71c3d706a6de0da9e597c7f8953d6d3efae5574"}