{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:D6BKNX5BLNN7DWL2RFRI5AEL6S","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":"d26cb5dc3669d2c68e5d2969ccadb9fcc3267e0257003ac55a39204e604a0ac9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-15T20:44:21Z","title_canon_sha256":"7e2c75c0cc17b5f59cf80f207c1cd34c004df142ace3861fe321e13ac9a5bb32"},"schema_version":"1.0","source":{"id":"2501.09138","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09138","created_at":"2026-07-05T10:01:42Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09138v1","created_at":"2026-07-05T10:01:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09138","created_at":"2026-07-05T10:01:42Z"},{"alias_kind":"pith_short_12","alias_value":"D6BKNX5BLNN7","created_at":"2026-07-05T10:01:42Z"},{"alias_kind":"pith_short_16","alias_value":"D6BKNX5BLNN7DWL2","created_at":"2026-07-05T10:01:42Z"},{"alias_kind":"pith_short_8","alias_value":"D6BKNX5B","created_at":"2026-07-05T10:01:42Z"}],"graph_snapshots":[{"event_id":"sha256:a3d31175e66cbf880255b4fcf5261f092c4bb4bfd5dc74072a7f4922bf124e7d","target":"graph","created_at":"2026-07-05T10:01:42Z","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/2501.09138/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision foundation models have achieved remarkable progress across various image analysis tasks. In the image segmentation task, foundation models like the Segment Anything Model (SAM) enable generalizable zero-shot segmentation through user-provided prompts. However, SAM primarily trained on natural images, lacks the domain-specific expertise of medical imaging. This limitation poses challenges when applying SAM to medical image segmentation, including the need for extensive fine-tuning on specialized medical datasets and a dependency on manual prompts, which are both labor-intensive and requi","authors_text":"Fang Liu, Mohamed Jarraya, Xingxin He, Yifan Hu, Zhaoye Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-15T20:44:21Z","title":"Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09138","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":"sha256:27ef7c69631f68d5f9ceff8eaaeb6eafc0718b4e6538b9f1a0fa62e9b5608f08","target":"record","created_at":"2026-07-05T10:01:42Z","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":"d26cb5dc3669d2c68e5d2969ccadb9fcc3267e0257003ac55a39204e604a0ac9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-15T20:44:21Z","title_canon_sha256":"7e2c75c0cc17b5f59cf80f207c1cd34c004df142ace3861fe321e13ac9a5bb32"},"schema_version":"1.0","source":{"id":"2501.09138","kind":"arxiv","version":1}},"canonical_sha256":"1f82a6dfa15b5bf1d97a89628e808bf487c01fffe2215b6bdfa31031cde42a71","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f82a6dfa15b5bf1d97a89628e808bf487c01fffe2215b6bdfa31031cde42a71","first_computed_at":"2026-07-05T10:01:42.402509Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:01:42.402509Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jnJg7Y7KrjTuFvXTqK3uSSOrXW/QFXGuJGIpi8j1B8meDmMqdoELoUct3zWXozCRR5ixvQ/Pd13m+X8LOcZaCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:01:42.403032Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.09138","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:27ef7c69631f68d5f9ceff8eaaeb6eafc0718b4e6538b9f1a0fa62e9b5608f08","sha256:a3d31175e66cbf880255b4fcf5261f092c4bb4bfd5dc74072a7f4922bf124e7d"],"state_sha256":"d9caddb23ffc2c6881b71661b8c82a1c471eaa7ce52dbc65b38b84849b96abec"}