{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RE6BS3PTY5FTFQWT3UZRTDIEDR","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":"375ceeecffa2bfc9d5ef56d484bb3a01bfcc3ae9da49ea2872cc478cfcec229b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-05T09:45:18Z","title_canon_sha256":"3f05c24cfde9a54c8d94d74f342c869a0558252c03e74bc7fb7bc40ad96cc701"},"schema_version":"1.0","source":{"id":"2607.04199","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.04199","created_at":"2026-07-07T02:19:02Z"},{"alias_kind":"arxiv_version","alias_value":"2607.04199v1","created_at":"2026-07-07T02:19:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.04199","created_at":"2026-07-07T02:19:02Z"},{"alias_kind":"pith_short_12","alias_value":"RE6BS3PTY5FT","created_at":"2026-07-07T02:19:02Z"},{"alias_kind":"pith_short_16","alias_value":"RE6BS3PTY5FTFQWT","created_at":"2026-07-07T02:19:02Z"},{"alias_kind":"pith_short_8","alias_value":"RE6BS3PT","created_at":"2026-07-07T02:19:02Z"}],"graph_snapshots":[{"event_id":"sha256:ad7b76c1f8ede472626847de7f01f3fc701f271973e9e6e058ca1a3a67b80425","target":"graph","created_at":"2026-07-07T02:19:02Z","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/2607.04199/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The growing number of medical vision foundation models highlights the need for effective model selection. However, mainstream selection methods rely on exhaustive fine-tuning, which is computationally expensive. Most of the existing Transferability Estimation (TE) metrics are primarily designed for image-level classification. They fail to preserve spatial relationships and fine-grained boundary details, which are crucial for the segmentation task. Additionally, while image-level tasks typically process a single feature vector per input, dense prediction tasks in 3D medical imaging require voxe","authors_text":"Fandong Zhang, Jiaqi Tang, Qingchao Chen, Shaoyang Zhang, Shu Zhang, Yang Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-05T09:45:18Z","title":"Topology-Driven Transferability Estimation for 3D Medical Vision Foundation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.04199","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:c170c070b9c9f29fcb66d68735758283edf9e61b38665c3a1dda8db502a46477","target":"record","created_at":"2026-07-07T02:19:02Z","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":"375ceeecffa2bfc9d5ef56d484bb3a01bfcc3ae9da49ea2872cc478cfcec229b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-05T09:45:18Z","title_canon_sha256":"3f05c24cfde9a54c8d94d74f342c869a0558252c03e74bc7fb7bc40ad96cc701"},"schema_version":"1.0","source":{"id":"2607.04199","kind":"arxiv","version":1}},"canonical_sha256":"893c196df3c74b32c2d3dd33198d041c73713ce3b8a7ccebe9f37b5a1d3ffe17","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"893c196df3c74b32c2d3dd33198d041c73713ce3b8a7ccebe9f37b5a1d3ffe17","first_computed_at":"2026-07-07T02:19:02.272112Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:19:02.272112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Dbpg89sjHAdEk6cIsYm1rZ85ciRLH4uII65EAksD0dg5YXAUWMCM6SeTF1AgwdDKfyqb0ksfT8PYGcaY0wDxBw==","signature_status":"signed_v1","signed_at":"2026-07-07T02:19:02.272931Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.04199","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c170c070b9c9f29fcb66d68735758283edf9e61b38665c3a1dda8db502a46477","sha256:ad7b76c1f8ede472626847de7f01f3fc701f271973e9e6e058ca1a3a67b80425"],"state_sha256":"1015a724fce0da3dbbb8c63694c3d2404f86799f41ecbde19c4c070ebe90acb5"}