{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:OOVZK2B5JAICELNGZQIZ6J74S5","short_pith_number":"pith:OOVZK2B5","canonical_record":{"source":{"id":"2501.06836","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-12T15:08:29Z","cross_cats_sorted":[],"title_canon_sha256":"b1d944da9a44fa6a06ae09c5a78041ede2009cf51f17d5e0f0058e70658b73d5","abstract_canon_sha256":"6c1e803e414cb2c3401c302991c758da44c4a84e488faabb6f90762898769b3d"},"schema_version":"1.0"},"canonical_sha256":"73ab95683d4810222da6cc119f27fc977307bd8596cb7d8264849f2cdc7e4b58","source":{"kind":"arxiv","id":"2501.06836","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.06836","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"arxiv_version","alias_value":"2501.06836v1","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.06836","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"pith_short_12","alias_value":"OOVZK2B5JAIC","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"pith_short_16","alias_value":"OOVZK2B5JAICELNG","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"pith_short_8","alias_value":"OOVZK2B5","created_at":"2026-07-05T10:00:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:OOVZK2B5JAICELNGZQIZ6J74S5","target":"record","payload":{"canonical_record":{"source":{"id":"2501.06836","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-12T15:08:29Z","cross_cats_sorted":[],"title_canon_sha256":"b1d944da9a44fa6a06ae09c5a78041ede2009cf51f17d5e0f0058e70658b73d5","abstract_canon_sha256":"6c1e803e414cb2c3401c302991c758da44c4a84e488faabb6f90762898769b3d"},"schema_version":"1.0"},"canonical_sha256":"73ab95683d4810222da6cc119f27fc977307bd8596cb7d8264849f2cdc7e4b58","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:00:10.916922Z","signature_b64":"5AjKJz4An0eyRCdE/KUpG7e4iKZ45WaxyOzuFxkwVPLfbsVA4LapE9xNcC26mpvM0HENB0QQGSqYVZLr8HQlCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"73ab95683d4810222da6cc119f27fc977307bd8596cb7d8264849f2cdc7e4b58","last_reissued_at":"2026-07-05T10:00:10.916473Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:00:10.916473Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.06836","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:00:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JIdou3dM0YUqMbcPmBH11+/Pe5zBXSwzcCxUGF/QN7uT4Y6UIZdfA/vKT4h3VTK6uDZBnbbcO/iNC98IQf9GDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T19:58:21.869054Z"},"content_sha256":"79ba7f9ea3ae021b7ecb671a585ff1fcee7cc9fa627b737b6e7e7473df5701b4","schema_version":"1.0","event_id":"sha256:79ba7f9ea3ae021b7ecb671a585ff1fcee7cc9fa627b737b6e7e7473df5701b4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:OOVZK2B5JAICELNGZQIZ6J74S5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Javier Gamazo Tejero, Martin S. Zinkernagel, Moritz Schmid, Pablo M\\'arquez Neila, Raphael Sznitman, Sebastian Wolf","submitted_at":"2025-01-12T15:08:29Z","abstract_excerpt":"This paper addresses the domain adaptation challenge for semantic segmentation in medical imaging. Despite the impressive performance of recent foundational segmentation models like SAM on natural images, they struggle with medical domain images. Beyond this, recent approaches that perform end-to-end fine-tuning of models are simply not computationally tractable. To address this, we propose a novel SAM adapter approach that minimizes the number of trainable parameters while achieving comparable performances to full fine-tuning. The proposed SAM adapter is strategically placed in the mask decod"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.06836","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2501.06836/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:00:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l1Kswn2kK3G9md6blbzsnpFKad3aOLQyn1f6aVlXwqyvyFFjNsFR6Vug5v89+2ywFT4KAVHm0QjZ2qkaef0WCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T19:58:21.870202Z"},"content_sha256":"d4126381d421ff1573529eaab1849f0e0a890c8dd88fe87d38c5e9a09e391366","schema_version":"1.0","event_id":"sha256:d4126381d421ff1573529eaab1849f0e0a890c8dd88fe87d38c5e9a09e391366"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OOVZK2B5JAICELNGZQIZ6J74S5/bundle.json","state_url":"https://pith.science/pith/OOVZK2B5JAICELNGZQIZ6J74S5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OOVZK2B5JAICELNGZQIZ6J74S5/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-15T19:58:21Z","links":{"resolver":"https://pith.science/pith/OOVZK2B5JAICELNGZQIZ6J74S5","bundle":"https://pith.science/pith/OOVZK2B5JAICELNGZQIZ6J74S5/bundle.json","state":"https://pith.science/pith/OOVZK2B5JAICELNGZQIZ6J74S5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OOVZK2B5JAICELNGZQIZ6J74S5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OOVZK2B5JAICELNGZQIZ6J74S5","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":"6c1e803e414cb2c3401c302991c758da44c4a84e488faabb6f90762898769b3d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-12T15:08:29Z","title_canon_sha256":"b1d944da9a44fa6a06ae09c5a78041ede2009cf51f17d5e0f0058e70658b73d5"},"schema_version":"1.0","source":{"id":"2501.06836","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.06836","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"arxiv_version","alias_value":"2501.06836v1","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.06836","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"pith_short_12","alias_value":"OOVZK2B5JAIC","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"pith_short_16","alias_value":"OOVZK2B5JAICELNG","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"pith_short_8","alias_value":"OOVZK2B5","created_at":"2026-07-05T10:00:10Z"}],"graph_snapshots":[{"event_id":"sha256:d4126381d421ff1573529eaab1849f0e0a890c8dd88fe87d38c5e9a09e391366","target":"graph","created_at":"2026-07-05T10:00:10Z","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/2501.06836/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper addresses the domain adaptation challenge for semantic segmentation in medical imaging. Despite the impressive performance of recent foundational segmentation models like SAM on natural images, they struggle with medical domain images. Beyond this, recent approaches that perform end-to-end fine-tuning of models are simply not computationally tractable. To address this, we propose a novel SAM adapter approach that minimizes the number of trainable parameters while achieving comparable performances to full fine-tuning. The proposed SAM adapter is strategically placed in the mask decod","authors_text":"Javier Gamazo Tejero, Martin S. Zinkernagel, Moritz Schmid, Pablo M\\'arquez Neila, Raphael Sznitman, Sebastian Wolf","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-12T15:08:29Z","title":"SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.06836","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":"sha256:79ba7f9ea3ae021b7ecb671a585ff1fcee7cc9fa627b737b6e7e7473df5701b4","target":"record","created_at":"2026-07-05T10:00:10Z","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":"6c1e803e414cb2c3401c302991c758da44c4a84e488faabb6f90762898769b3d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-12T15:08:29Z","title_canon_sha256":"b1d944da9a44fa6a06ae09c5a78041ede2009cf51f17d5e0f0058e70658b73d5"},"schema_version":"1.0","source":{"id":"2501.06836","kind":"arxiv","version":1}},"canonical_sha256":"73ab95683d4810222da6cc119f27fc977307bd8596cb7d8264849f2cdc7e4b58","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"73ab95683d4810222da6cc119f27fc977307bd8596cb7d8264849f2cdc7e4b58","first_computed_at":"2026-07-05T10:00:10.916473Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:00:10.916473Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5AjKJz4An0eyRCdE/KUpG7e4iKZ45WaxyOzuFxkwVPLfbsVA4LapE9xNcC26mpvM0HENB0QQGSqYVZLr8HQlCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:00:10.916922Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.06836","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:79ba7f9ea3ae021b7ecb671a585ff1fcee7cc9fa627b737b6e7e7473df5701b4","sha256:d4126381d421ff1573529eaab1849f0e0a890c8dd88fe87d38c5e9a09e391366"],"state_sha256":"0f0cc90f4a2399254b992961fbb32338cb6b718f7b64d391755d3d68b05c8a9f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MYZJFJbJN3FoWQsuhl5uYGd6aUNtlzfxRZPtAx+Ko6N6WPjcOdtByz7xaBLUIqk2FI4iWDSWbUOpXd5xsIxRCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T19:58:21.875474Z","bundle_sha256":"8d5e937b52f8e73efea52b867f29d872d248975c4124ac8d82e1001950210381"}}