{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MOLY44VGHX3JWSK2JHUVGG54O5","short_pith_number":"pith:MOLY44VG","canonical_record":{"source":{"id":"2506.21835","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-27T00:50:15Z","cross_cats_sorted":[],"title_canon_sha256":"c13cddf39f88479d115f4c7e97fc8bd4bc87b86b9d88ca1cae54265d7364f4f3","abstract_canon_sha256":"65f3d70cb5f70b3bea5164c761e07da1c27e87e8732d014989a02da2ea3b4465"},"schema_version":"1.0"},"canonical_sha256":"63978e72a63df69b495a49e9531bbc7751f1c9ad4f20de32d27ef89537a4eb29","source":{"kind":"arxiv","id":"2506.21835","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.21835","created_at":"2026-07-05T11:47:25Z"},{"alias_kind":"arxiv_version","alias_value":"2506.21835v3","created_at":"2026-07-05T11:47:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.21835","created_at":"2026-07-05T11:47:25Z"},{"alias_kind":"pith_short_12","alias_value":"MOLY44VGHX3J","created_at":"2026-07-05T11:47:25Z"},{"alias_kind":"pith_short_16","alias_value":"MOLY44VGHX3JWSK2","created_at":"2026-07-05T11:47:25Z"},{"alias_kind":"pith_short_8","alias_value":"MOLY44VG","created_at":"2026-07-05T11:47:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MOLY44VGHX3JWSK2JHUVGG54O5","target":"record","payload":{"canonical_record":{"source":{"id":"2506.21835","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-27T00:50:15Z","cross_cats_sorted":[],"title_canon_sha256":"c13cddf39f88479d115f4c7e97fc8bd4bc87b86b9d88ca1cae54265d7364f4f3","abstract_canon_sha256":"65f3d70cb5f70b3bea5164c761e07da1c27e87e8732d014989a02da2ea3b4465"},"schema_version":"1.0"},"canonical_sha256":"63978e72a63df69b495a49e9531bbc7751f1c9ad4f20de32d27ef89537a4eb29","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:47:25.259224Z","signature_b64":"IQMmbMrP/Z6X4CCmHLCGIAXFGU2s/Q6fKBSowgcwW0hKc1a9cvA9k68fAN98w6xxyG714aOV4zVx6ctiwdAIAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"63978e72a63df69b495a49e9531bbc7751f1c9ad4f20de32d27ef89537a4eb29","last_reissued_at":"2026-07-05T11:47:25.258779Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:47:25.258779Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.21835","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:47:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I5s3zAeQQVCfF3CSPsVujxSsa3KqjD/BGvO44TyO485O0Eqtc/m9LK3fRBhgwyretYOLCqWSmUgofSOjSQ0nBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T11:46:34.386225Z"},"content_sha256":"928c525b162b639db86269385643fcb75d3f746ccf0be61e576c17478d7652ab","schema_version":"1.0","event_id":"sha256:928c525b162b639db86269385643fcb75d3f746ccf0be61e576c17478d7652ab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MOLY44VGHX3JWSK2JHUVGG54O5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Clint Sebastian, Liu Ren, WenBin He, Xiaoqi Wang","submitted_at":"2025-06-27T00:50:15Z","abstract_excerpt":"The recent advancements in large foundation models have driven the success of open-set image segmentation, a task focused on segmenting objects beyond predefined categories. Among various prompt types (such as points, boxes, texts, and visual references), visual reference segmentation stands out for its unique flexibility and strong zero-shot capabilities. Recently, several SAM-based methods have made notable progress in this task by automatically generating prompts to guide SAM. However, these methods often generate prompts at boundaries of target regions due to suboptimal prompt encoder, whi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.21835","kind":"arxiv","version":3},"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/2506.21835/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":"2026-07-05T11:47:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Zl1oBaoVDDEmzVzi76J0O8j3plnH5s9X8nb/ncMEVK9VZZAz2+hUX/JSpsIgRuHA+PZzD8EI7j9WzmiWe8hMCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T11:46:34.386761Z"},"content_sha256":"9df70140e365364d01492f9c30d15d85250a9e75ef1145b832599ce6b16e8a7e","schema_version":"1.0","event_id":"sha256:9df70140e365364d01492f9c30d15d85250a9e75ef1145b832599ce6b16e8a7e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MOLY44VGHX3JWSK2JHUVGG54O5/bundle.json","state_url":"https://pith.science/pith/MOLY44VGHX3JWSK2JHUVGG54O5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MOLY44VGHX3JWSK2JHUVGG54O5/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":"2026-08-14T11:46:34Z","links":{"resolver":"https://pith.science/pith/MOLY44VGHX3JWSK2JHUVGG54O5","bundle":"https://pith.science/pith/MOLY44VGHX3JWSK2JHUVGG54O5/bundle.json","state":"https://pith.science/pith/MOLY44VGHX3JWSK2JHUVGG54O5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MOLY44VGHX3JWSK2JHUVGG54O5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MOLY44VGHX3JWSK2JHUVGG54O5","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":"65f3d70cb5f70b3bea5164c761e07da1c27e87e8732d014989a02da2ea3b4465","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-27T00:50:15Z","title_canon_sha256":"c13cddf39f88479d115f4c7e97fc8bd4bc87b86b9d88ca1cae54265d7364f4f3"},"schema_version":"1.0","source":{"id":"2506.21835","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.21835","created_at":"2026-07-05T11:47:25Z"},{"alias_kind":"arxiv_version","alias_value":"2506.21835v3","created_at":"2026-07-05T11:47:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.21835","created_at":"2026-07-05T11:47:25Z"},{"alias_kind":"pith_short_12","alias_value":"MOLY44VGHX3J","created_at":"2026-07-05T11:47:25Z"},{"alias_kind":"pith_short_16","alias_value":"MOLY44VGHX3JWSK2","created_at":"2026-07-05T11:47:25Z"},{"alias_kind":"pith_short_8","alias_value":"MOLY44VG","created_at":"2026-07-05T11:47:25Z"}],"graph_snapshots":[{"event_id":"sha256:9df70140e365364d01492f9c30d15d85250a9e75ef1145b832599ce6b16e8a7e","target":"graph","created_at":"2026-07-05T11:47:25Z","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/2506.21835/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The recent advancements in large foundation models have driven the success of open-set image segmentation, a task focused on segmenting objects beyond predefined categories. Among various prompt types (such as points, boxes, texts, and visual references), visual reference segmentation stands out for its unique flexibility and strong zero-shot capabilities. Recently, several SAM-based methods have made notable progress in this task by automatically generating prompts to guide SAM. However, these methods often generate prompts at boundaries of target regions due to suboptimal prompt encoder, whi","authors_text":"Clint Sebastian, Liu Ren, WenBin He, Xiaoqi Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-27T00:50:15Z","title":"ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.21835","kind":"arxiv","version":3},"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":"sha256:928c525b162b639db86269385643fcb75d3f746ccf0be61e576c17478d7652ab","target":"record","created_at":"2026-07-05T11:47:25Z","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":"65f3d70cb5f70b3bea5164c761e07da1c27e87e8732d014989a02da2ea3b4465","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-27T00:50:15Z","title_canon_sha256":"c13cddf39f88479d115f4c7e97fc8bd4bc87b86b9d88ca1cae54265d7364f4f3"},"schema_version":"1.0","source":{"id":"2506.21835","kind":"arxiv","version":3}},"canonical_sha256":"63978e72a63df69b495a49e9531bbc7751f1c9ad4f20de32d27ef89537a4eb29","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"63978e72a63df69b495a49e9531bbc7751f1c9ad4f20de32d27ef89537a4eb29","first_computed_at":"2026-07-05T11:47:25.258779Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:47:25.258779Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IQMmbMrP/Z6X4CCmHLCGIAXFGU2s/Q6fKBSowgcwW0hKc1a9cvA9k68fAN98w6xxyG714aOV4zVx6ctiwdAIAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:47:25.259224Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.21835","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:928c525b162b639db86269385643fcb75d3f746ccf0be61e576c17478d7652ab","sha256:9df70140e365364d01492f9c30d15d85250a9e75ef1145b832599ce6b16e8a7e"],"state_sha256":"9385e23aca6c9eca1339edf046c9ad9ae640ac47058cff577c0e8b00ac325ebd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iWsd50GHhViDlPhjAOh8fQ1yYLO+kmoY03HaGMFNw4ZQsov67r2L3dJEnPjojIOE9LcXoZVYiLlnrEQ/EUn8AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T11:46:34.391728Z","bundle_sha256":"db9ba2afd77610778a6317de5ca69cbfa17ccfa85369f89f55f508700ef3b988"}}