{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YPJKJ7KC6NLVBXB2KDIPD3DF6A","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":"ec0f2bf087809b8a8bb502f613dd36dffb0d4cc1d0dcb3d5bc998a401a5cf268","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-01T12:39:17Z","title_canon_sha256":"3ccbcc56c0c9a97d919991e4992cbd9079f54ed0586b668a285a769958313a68"},"schema_version":"1.0","source":{"id":"2502.00418","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.00418","created_at":"2026-07-05T11:14:03Z"},{"alias_kind":"arxiv_version","alias_value":"2502.00418v2","created_at":"2026-07-05T11:14:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.00418","created_at":"2026-07-05T11:14:03Z"},{"alias_kind":"pith_short_12","alias_value":"YPJKJ7KC6NLV","created_at":"2026-07-05T11:14:03Z"},{"alias_kind":"pith_short_16","alias_value":"YPJKJ7KC6NLVBXB2","created_at":"2026-07-05T11:14:03Z"},{"alias_kind":"pith_short_8","alias_value":"YPJKJ7KC","created_at":"2026-07-05T11:14:03Z"}],"graph_snapshots":[{"event_id":"sha256:27aae8267fa20a271197931849f4285307fec79f7b66d03bf30ee382f0fa86dd","target":"graph","created_at":"2026-07-05T11:14:03Z","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/2502.00418/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Segmentation is an important analysis task for biomedical images, enabling the study of individual organelles, cells or organs. Deep learning has massively improved segmentation methods, but challenges remain in generalization to new conditions, requiring costly data annotation. Vision foundation models, such as Segment Anything Model (SAM), address this issue through improved generalization. However, these models still require finetuning on annotated data, although with less annotations, to achieve optimal results for new conditions. As a downside, they require more computational resources. T","authors_text":"Anwai Archit, Carolin Teuber, Constantin Pape","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-01T12:39:17Z","title":"Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.00418","kind":"arxiv","version":2},"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:cd959b60d7a0a4ebb8cc9be43dbda283b2704bc20ce81a7794eb8b08d2203a6a","target":"record","created_at":"2026-07-05T11:14:03Z","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":"ec0f2bf087809b8a8bb502f613dd36dffb0d4cc1d0dcb3d5bc998a401a5cf268","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-01T12:39:17Z","title_canon_sha256":"3ccbcc56c0c9a97d919991e4992cbd9079f54ed0586b668a285a769958313a68"},"schema_version":"1.0","source":{"id":"2502.00418","kind":"arxiv","version":2}},"canonical_sha256":"c3d2a4fd42f35750dc3a50d0f1ec65f02affe9348ab936884f54dcd6cd147c8c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c3d2a4fd42f35750dc3a50d0f1ec65f02affe9348ab936884f54dcd6cd147c8c","first_computed_at":"2026-07-05T11:14:03.148151Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:14:03.148151Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l+UMUnFfprhD7dtbv7JYfALKVGNNfc5h+r6bk0cghbIR3nXT+ZIPENErGAZEQKaaQwmH2Bi5Zr4IkAsnP90HBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:14:03.148737Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.00418","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cd959b60d7a0a4ebb8cc9be43dbda283b2704bc20ce81a7794eb8b08d2203a6a","sha256:27aae8267fa20a271197931849f4285307fec79f7b66d03bf30ee382f0fa86dd"],"state_sha256":"44bb8b4660faec4e27159ffe6018f18e2ae9aded925e01bf4797392d7c4ba8d0"}