{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:7QCVV6OYHBG4HGNPKXMQLTNGOF","short_pith_number":"pith:7QCVV6OY","canonical_record":{"source":{"id":"2407.21284","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-31T02:16:28Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"822084dcefe367474e8e8b6bc3c27b07166aa1c391ff183a4246e6524b8361cd","abstract_canon_sha256":"08f73112711d6fe544b0b24f6a379e796cde4b34730b225c9dc3e1f907786330"},"schema_version":"1.0"},"canonical_sha256":"fc055af9d8384dc399af55d905cda67162a71b357d5eca23ca214bbc2ff5d77e","source":{"kind":"arxiv","id":"2407.21284","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.21284","created_at":"2026-07-05T08:50:37Z"},{"alias_kind":"arxiv_version","alias_value":"2407.21284v1","created_at":"2026-07-05T08:50:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.21284","created_at":"2026-07-05T08:50:37Z"},{"alias_kind":"pith_short_12","alias_value":"7QCVV6OYHBG4","created_at":"2026-07-05T08:50:37Z"},{"alias_kind":"pith_short_16","alias_value":"7QCVV6OYHBG4HGNP","created_at":"2026-07-05T08:50:37Z"},{"alias_kind":"pith_short_8","alias_value":"7QCVV6OY","created_at":"2026-07-05T08:50:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:7QCVV6OYHBG4HGNPKXMQLTNGOF","target":"record","payload":{"canonical_record":{"source":{"id":"2407.21284","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-31T02:16:28Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"822084dcefe367474e8e8b6bc3c27b07166aa1c391ff183a4246e6524b8361cd","abstract_canon_sha256":"08f73112711d6fe544b0b24f6a379e796cde4b34730b225c9dc3e1f907786330"},"schema_version":"1.0"},"canonical_sha256":"fc055af9d8384dc399af55d905cda67162a71b357d5eca23ca214bbc2ff5d77e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:50:37.030257Z","signature_b64":"FUO/elY/syj2TwHdTiBtvF83WJTrbxF3pplJw+0hBkcKPKP1kbjLehsaMh/X00ZrmlpLDm7UswOZom8tfZaFCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fc055af9d8384dc399af55d905cda67162a71b357d5eca23ca214bbc2ff5d77e","last_reissued_at":"2026-07-05T08:50:37.029857Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:50:37.029857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.21284","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":"2026-07-05T08:50:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f2U/ZEZOEV/N3Fzmjec54eKI449TQJRUqiFwQHOiaZMoTg8Bo6oYBagVjr143L1PyakJrVr8Ikrdv0DwZfSZDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:58:22.222034Z"},"content_sha256":"bd00a36fc0c8175dce319680723ddd89d7472ed9cb75db9e3baa29759ddc1877","schema_version":"1.0","event_id":"sha256:bd00a36fc0c8175dce319680723ddd89d7472ed9cb75db9e3baa29759ddc1877"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:7QCVV6OYHBG4HGNPKXMQLTNGOF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust Box Prompt based SAM for Medical Image Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Dong Ni, Fajin Dong, Han Zhou, Haoran Dou, Xin Yang, Yan Cao, Yuhao Huang","submitted_at":"2024-07-31T02:16:28Z","abstract_excerpt":"The Segment Anything Model (SAM) can achieve satisfactory segmentation performance under high-quality box prompts. However, SAM's robustness is compromised by the decline in box quality, limiting its practicality in clinical reality. In this study, we propose a novel Robust Box prompt based SAM (\\textbf{RoBox-SAM}) to ensure SAM's segmentation performance under prompts with different qualities. Our contribution is three-fold. First, we propose a prompt refinement module to implicitly perceive the potential targets, and output the offsets to directly transform the low-quality box prompt into a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.21284","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/2407.21284/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":"2026-07-05T08:50:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"awqdkywUi5mKC1RdMeVLPFA5TGUuS8G13t4RdGUcecXuzshcm1QaVrZB4QY708TmEhAMzBrhfnA0GVPz9pbsCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:58:22.222729Z"},"content_sha256":"d9370b9f3f642701bcfc919cc5591264ef6cff9a767a4e7a2dcb05adf8187a83","schema_version":"1.0","event_id":"sha256:d9370b9f3f642701bcfc919cc5591264ef6cff9a767a4e7a2dcb05adf8187a83"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7QCVV6OYHBG4HGNPKXMQLTNGOF/bundle.json","state_url":"https://pith.science/pith/7QCVV6OYHBG4HGNPKXMQLTNGOF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7QCVV6OYHBG4HGNPKXMQLTNGOF/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":"2026-08-08T07:58:22Z","links":{"resolver":"https://pith.science/pith/7QCVV6OYHBG4HGNPKXMQLTNGOF","bundle":"https://pith.science/pith/7QCVV6OYHBG4HGNPKXMQLTNGOF/bundle.json","state":"https://pith.science/pith/7QCVV6OYHBG4HGNPKXMQLTNGOF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7QCVV6OYHBG4HGNPKXMQLTNGOF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7QCVV6OYHBG4HGNPKXMQLTNGOF","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":"08f73112711d6fe544b0b24f6a379e796cde4b34730b225c9dc3e1f907786330","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-31T02:16:28Z","title_canon_sha256":"822084dcefe367474e8e8b6bc3c27b07166aa1c391ff183a4246e6524b8361cd"},"schema_version":"1.0","source":{"id":"2407.21284","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.21284","created_at":"2026-07-05T08:50:37Z"},{"alias_kind":"arxiv_version","alias_value":"2407.21284v1","created_at":"2026-07-05T08:50:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.21284","created_at":"2026-07-05T08:50:37Z"},{"alias_kind":"pith_short_12","alias_value":"7QCVV6OYHBG4","created_at":"2026-07-05T08:50:37Z"},{"alias_kind":"pith_short_16","alias_value":"7QCVV6OYHBG4HGNP","created_at":"2026-07-05T08:50:37Z"},{"alias_kind":"pith_short_8","alias_value":"7QCVV6OY","created_at":"2026-07-05T08:50:37Z"}],"graph_snapshots":[{"event_id":"sha256:d9370b9f3f642701bcfc919cc5591264ef6cff9a767a4e7a2dcb05adf8187a83","target":"graph","created_at":"2026-07-05T08:50:37Z","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/2407.21284/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Segment Anything Model (SAM) can achieve satisfactory segmentation performance under high-quality box prompts. However, SAM's robustness is compromised by the decline in box quality, limiting its practicality in clinical reality. In this study, we propose a novel Robust Box prompt based SAM (\\textbf{RoBox-SAM}) to ensure SAM's segmentation performance under prompts with different qualities. Our contribution is three-fold. First, we propose a prompt refinement module to implicitly perceive the potential targets, and output the offsets to directly transform the low-quality box prompt into a ","authors_text":"Dong Ni, Fajin Dong, Han Zhou, Haoran Dou, Xin Yang, Yan Cao, Yuhao Huang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-31T02:16:28Z","title":"Robust Box Prompt based SAM for Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.21284","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:bd00a36fc0c8175dce319680723ddd89d7472ed9cb75db9e3baa29759ddc1877","target":"record","created_at":"2026-07-05T08:50:37Z","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":"08f73112711d6fe544b0b24f6a379e796cde4b34730b225c9dc3e1f907786330","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-31T02:16:28Z","title_canon_sha256":"822084dcefe367474e8e8b6bc3c27b07166aa1c391ff183a4246e6524b8361cd"},"schema_version":"1.0","source":{"id":"2407.21284","kind":"arxiv","version":1}},"canonical_sha256":"fc055af9d8384dc399af55d905cda67162a71b357d5eca23ca214bbc2ff5d77e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fc055af9d8384dc399af55d905cda67162a71b357d5eca23ca214bbc2ff5d77e","first_computed_at":"2026-07-05T08:50:37.029857Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:50:37.029857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FUO/elY/syj2TwHdTiBtvF83WJTrbxF3pplJw+0hBkcKPKP1kbjLehsaMh/X00ZrmlpLDm7UswOZom8tfZaFCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:50:37.030257Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.21284","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd00a36fc0c8175dce319680723ddd89d7472ed9cb75db9e3baa29759ddc1877","sha256:d9370b9f3f642701bcfc919cc5591264ef6cff9a767a4e7a2dcb05adf8187a83"],"state_sha256":"333bd324d8d1e256ffa8a2e2d215054166059215fe6120592a41faebe4c0880d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ytB/NUWuKzP7gZjWN/GagQLasgeIjADd9jDLX1wpvM0p2D+WGZ1VMII1nVeMpaNA82IVwTm3JHXDdbNs574hBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T07:58:22.227514Z","bundle_sha256":"1be636804529fad44576e5bbd3b86378b1993f4ab12b8fbfdcef6d260a752413"}}