{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:T7WIMI5N2FMH3UYG6CTXVPOK5E","short_pith_number":"pith:T7WIMI5N","canonical_record":{"source":{"id":"2410.04172","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-10-05T14:36:43Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"03d00763361754a36ab2729ac50defa80c74f7d6369dfbafa0f24df25b8ef751","abstract_canon_sha256":"0f45360a32fe1ec9fea5c08efc6e7479d2796371e8d066ec2b2ca90f4eb0f0f9"},"schema_version":"1.0"},"canonical_sha256":"9fec8623add1587dd306f0a77abdcae92985e7e2a4ae2072e4738c79f8c1407d","source":{"kind":"arxiv","id":"2410.04172","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.04172","created_at":"2026-07-05T09:16:29Z"},{"alias_kind":"arxiv_version","alias_value":"2410.04172v1","created_at":"2026-07-05T09:16:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.04172","created_at":"2026-07-05T09:16:29Z"},{"alias_kind":"pith_short_12","alias_value":"T7WIMI5N2FMH","created_at":"2026-07-05T09:16:29Z"},{"alias_kind":"pith_short_16","alias_value":"T7WIMI5N2FMH3UYG","created_at":"2026-07-05T09:16:29Z"},{"alias_kind":"pith_short_8","alias_value":"T7WIMI5N","created_at":"2026-07-05T09:16:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:T7WIMI5N2FMH3UYG6CTXVPOK5E","target":"record","payload":{"canonical_record":{"source":{"id":"2410.04172","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-10-05T14:36:43Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"03d00763361754a36ab2729ac50defa80c74f7d6369dfbafa0f24df25b8ef751","abstract_canon_sha256":"0f45360a32fe1ec9fea5c08efc6e7479d2796371e8d066ec2b2ca90f4eb0f0f9"},"schema_version":"1.0"},"canonical_sha256":"9fec8623add1587dd306f0a77abdcae92985e7e2a4ae2072e4738c79f8c1407d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:16:29.934914Z","signature_b64":"eRJg313PWFf4NiOmCe9teHXSjveulMce7l1daHFM4E5esCXj96NPgZem87bMs6pc4mgv/9Iwy3uN3/s3+B+7AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9fec8623add1587dd306f0a77abdcae92985e7e2a4ae2072e4738c79f8c1407d","last_reissued_at":"2026-07-05T09:16:29.934409Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:16:29.934409Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.04172","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":"2026-07-05T09:16:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2SlHOUqtnVknKF8pX4WCwYhs6+Yuw3By7anaeGTlfHpDbkGLnqNj4gaq4uXepZXt0RFp1ffHOCB/Lf2puauaAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T06:18:54.279542Z"},"content_sha256":"b3a00d4337cda56feee9655ede82143f8d7854de199d14a9adbe389e9942ced7","schema_version":"1.0","event_id":"sha256:b3a00d4337cda56feee9655ede82143f8d7854de199d14a9adbe389e9942ced7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:T7WIMI5N2FMH3UYG6CTXVPOK5E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DB-SAM: Delving into High Quality Universal Medical Image Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Chao Qin, Fahad Shahbaz Khan, Huazhu Fu, Jiale Cao, Rao Muhammad Anwer","submitted_at":"2024-10-05T14:36:43Z","abstract_excerpt":"Recently, the Segment Anything Model (SAM) has demonstrated promising segmentation capabilities in a variety of downstream segmentation tasks. However in the context of universal medical image segmentation there exists a notable performance discrepancy when directly applying SAM due to the domain gap between natural and 2D/3D medical data. In this work, we propose a dual-branch adapted SAM framework, named DB-SAM, that strives to effectively bridge this domain gap. Our dual-branch adapted SAM contains two branches in parallel: a ViT branch and a convolution branch. The ViT branch incorporates "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.04172","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/2410.04172/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":"2026-07-05T09:16:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qj+kzhOZOGtTiYMcIj2mE6FWmw3idjeDHhqk1K4bAmYZJV/ulRw+RxRRsTvk2qBG58fnw2oz7U5+VTMXpaXnCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T06:18:54.280116Z"},"content_sha256":"13de36b85db176638dfbb61ec1c5d1f276a1601525a26b0082966cde3fdfa70f","schema_version":"1.0","event_id":"sha256:13de36b85db176638dfbb61ec1c5d1f276a1601525a26b0082966cde3fdfa70f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T7WIMI5N2FMH3UYG6CTXVPOK5E/bundle.json","state_url":"https://pith.science/pith/T7WIMI5N2FMH3UYG6CTXVPOK5E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T7WIMI5N2FMH3UYG6CTXVPOK5E/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":"2026-08-13T06:18:54Z","links":{"resolver":"https://pith.science/pith/T7WIMI5N2FMH3UYG6CTXVPOK5E","bundle":"https://pith.science/pith/T7WIMI5N2FMH3UYG6CTXVPOK5E/bundle.json","state":"https://pith.science/pith/T7WIMI5N2FMH3UYG6CTXVPOK5E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T7WIMI5N2FMH3UYG6CTXVPOK5E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:T7WIMI5N2FMH3UYG6CTXVPOK5E","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":"0f45360a32fe1ec9fea5c08efc6e7479d2796371e8d066ec2b2ca90f4eb0f0f9","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-10-05T14:36:43Z","title_canon_sha256":"03d00763361754a36ab2729ac50defa80c74f7d6369dfbafa0f24df25b8ef751"},"schema_version":"1.0","source":{"id":"2410.04172","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.04172","created_at":"2026-07-05T09:16:29Z"},{"alias_kind":"arxiv_version","alias_value":"2410.04172v1","created_at":"2026-07-05T09:16:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.04172","created_at":"2026-07-05T09:16:29Z"},{"alias_kind":"pith_short_12","alias_value":"T7WIMI5N2FMH","created_at":"2026-07-05T09:16:29Z"},{"alias_kind":"pith_short_16","alias_value":"T7WIMI5N2FMH3UYG","created_at":"2026-07-05T09:16:29Z"},{"alias_kind":"pith_short_8","alias_value":"T7WIMI5N","created_at":"2026-07-05T09:16:29Z"}],"graph_snapshots":[{"event_id":"sha256:13de36b85db176638dfbb61ec1c5d1f276a1601525a26b0082966cde3fdfa70f","target":"graph","created_at":"2026-07-05T09:16:29Z","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/2410.04172/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, the Segment Anything Model (SAM) has demonstrated promising segmentation capabilities in a variety of downstream segmentation tasks. However in the context of universal medical image segmentation there exists a notable performance discrepancy when directly applying SAM due to the domain gap between natural and 2D/3D medical data. In this work, we propose a dual-branch adapted SAM framework, named DB-SAM, that strives to effectively bridge this domain gap. Our dual-branch adapted SAM contains two branches in parallel: a ViT branch and a convolution branch. The ViT branch incorporates ","authors_text":"Chao Qin, Fahad Shahbaz Khan, Huazhu Fu, Jiale Cao, Rao Muhammad Anwer","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-10-05T14:36:43Z","title":"DB-SAM: Delving into High Quality Universal Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.04172","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:b3a00d4337cda56feee9655ede82143f8d7854de199d14a9adbe389e9942ced7","target":"record","created_at":"2026-07-05T09:16:29Z","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":"0f45360a32fe1ec9fea5c08efc6e7479d2796371e8d066ec2b2ca90f4eb0f0f9","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-10-05T14:36:43Z","title_canon_sha256":"03d00763361754a36ab2729ac50defa80c74f7d6369dfbafa0f24df25b8ef751"},"schema_version":"1.0","source":{"id":"2410.04172","kind":"arxiv","version":1}},"canonical_sha256":"9fec8623add1587dd306f0a77abdcae92985e7e2a4ae2072e4738c79f8c1407d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9fec8623add1587dd306f0a77abdcae92985e7e2a4ae2072e4738c79f8c1407d","first_computed_at":"2026-07-05T09:16:29.934409Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:16:29.934409Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eRJg313PWFf4NiOmCe9teHXSjveulMce7l1daHFM4E5esCXj96NPgZem87bMs6pc4mgv/9Iwy3uN3/s3+B+7AA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:16:29.934914Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.04172","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b3a00d4337cda56feee9655ede82143f8d7854de199d14a9adbe389e9942ced7","sha256:13de36b85db176638dfbb61ec1c5d1f276a1601525a26b0082966cde3fdfa70f"],"state_sha256":"e89cec58f0d8f2f3f49a8b1b1ac2e0fdc49cb5a226edfe1a26471b61509dca3b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WAapoZ43x/PgVB2Yyjmh2/QKlA9JGxFgksYv4htVHZtJyvEU3ciz59ug3NNfdABewQg4/+pt5yS36N/1s3EtBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T06:18:54.284009Z","bundle_sha256":"e48dab2df1b2429a4c35473bd6acbd5b561ba9b9c13440498483c1ab0e94782c"}}