{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6CKSOQSY7BMTJSXPUWJWJFMPBZ","short_pith_number":"pith:6CKSOQSY","canonical_record":{"source":{"id":"2507.17239","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-23T06:15:54Z","cross_cats_sorted":[],"title_canon_sha256":"813ab1ee225bdfb2f1acc428c05ee6b13659b8da6d1b7ff73aa062c2731e41a0","abstract_canon_sha256":"efb9f0b21eb828ece32e8438a8610743c3022c90d82beab7bd54e612d9707a3c"},"schema_version":"1.0"},"canonical_sha256":"f095274258f85934caefa59364958f0e7fab1843f5cd22de3f6bd531ab0d5fc5","source":{"kind":"arxiv","id":"2507.17239","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.17239","created_at":"2026-07-05T11:42:04Z"},{"alias_kind":"arxiv_version","alias_value":"2507.17239v1","created_at":"2026-07-05T11:42:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.17239","created_at":"2026-07-05T11:42:04Z"},{"alias_kind":"pith_short_12","alias_value":"6CKSOQSY7BMT","created_at":"2026-07-05T11:42:04Z"},{"alias_kind":"pith_short_16","alias_value":"6CKSOQSY7BMTJSXP","created_at":"2026-07-05T11:42:04Z"},{"alias_kind":"pith_short_8","alias_value":"6CKSOQSY","created_at":"2026-07-05T11:42:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6CKSOQSY7BMTJSXPUWJWJFMPBZ","target":"record","payload":{"canonical_record":{"source":{"id":"2507.17239","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-23T06:15:54Z","cross_cats_sorted":[],"title_canon_sha256":"813ab1ee225bdfb2f1acc428c05ee6b13659b8da6d1b7ff73aa062c2731e41a0","abstract_canon_sha256":"efb9f0b21eb828ece32e8438a8610743c3022c90d82beab7bd54e612d9707a3c"},"schema_version":"1.0"},"canonical_sha256":"f095274258f85934caefa59364958f0e7fab1843f5cd22de3f6bd531ab0d5fc5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:42:04.191708Z","signature_b64":"rPJjxdyzAVYX+ybq2/9O7LqSey/4PiYHs06djM68hCAt1zxjIzwXpRQd/BEj1Q7eB0XC2ic7xVWx90rftKZ6Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f095274258f85934caefa59364958f0e7fab1843f5cd22de3f6bd531ab0d5fc5","last_reissued_at":"2026-07-05T11:42:04.191174Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:42:04.191174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.17239","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":"2026-07-05T11:42:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Njj30ypV+7bi+FfwTe8/X0o6gp9u0+mxrMTKGWZYXotWDDOWSgg1U5bxZ69Sb/wdxf8H9672pe+eD26nHTQpDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T16:44:29.870240Z"},"content_sha256":"a3ab8d66f0fe63db0bbb36741950422b3c606ef10b9fbbc74eb585f77107bebd","schema_version":"1.0","event_id":"sha256:a3ab8d66f0fe63db0bbb36741950422b3c606ef10b9fbbc74eb585f77107bebd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6CKSOQSY7BMTJSXPUWJWJFMPBZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MaskedCLIP: Bridging the Masked and CLIP Space for Semi-Supervised Medical Vision-Language Pre-training","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jun Zhou, Lei Zhu, Rick Siow Mong Goh, Yong Liu","submitted_at":"2025-07-23T06:15:54Z","abstract_excerpt":"Foundation models have recently gained tremendous popularity in medical image analysis. State-of-the-art methods leverage either paired image-text data via vision-language pre-training or unpaired image data via self-supervised pre-training to learn foundation models with generalizable image features to boost downstream task performance. However, learning foundation models exclusively on either paired or unpaired image data limits their ability to learn richer and more comprehensive image features. In this paper, we investigate a novel task termed semi-supervised vision-language pre-training, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.17239","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/2507.17239/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":"2026-07-05T11:42:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HieTkzxkRphzVrr8TPOa9WmOWroTIfpP/ZPsS+eDDUPdK07AHmmttgNMm85OtjbteizTZhXIykVfG8yyODELCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T16:44:29.870942Z"},"content_sha256":"a29502fd812fadd8855caedfaf4360533fdcc567ed48d63ff6218b9fa0554e10","schema_version":"1.0","event_id":"sha256:a29502fd812fadd8855caedfaf4360533fdcc567ed48d63ff6218b9fa0554e10"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6CKSOQSY7BMTJSXPUWJWJFMPBZ/bundle.json","state_url":"https://pith.science/pith/6CKSOQSY7BMTJSXPUWJWJFMPBZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6CKSOQSY7BMTJSXPUWJWJFMPBZ/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":"2026-08-07T16:44:29Z","links":{"resolver":"https://pith.science/pith/6CKSOQSY7BMTJSXPUWJWJFMPBZ","bundle":"https://pith.science/pith/6CKSOQSY7BMTJSXPUWJWJFMPBZ/bundle.json","state":"https://pith.science/pith/6CKSOQSY7BMTJSXPUWJWJFMPBZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6CKSOQSY7BMTJSXPUWJWJFMPBZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6CKSOQSY7BMTJSXPUWJWJFMPBZ","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":"efb9f0b21eb828ece32e8438a8610743c3022c90d82beab7bd54e612d9707a3c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-23T06:15:54Z","title_canon_sha256":"813ab1ee225bdfb2f1acc428c05ee6b13659b8da6d1b7ff73aa062c2731e41a0"},"schema_version":"1.0","source":{"id":"2507.17239","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.17239","created_at":"2026-07-05T11:42:04Z"},{"alias_kind":"arxiv_version","alias_value":"2507.17239v1","created_at":"2026-07-05T11:42:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.17239","created_at":"2026-07-05T11:42:04Z"},{"alias_kind":"pith_short_12","alias_value":"6CKSOQSY7BMT","created_at":"2026-07-05T11:42:04Z"},{"alias_kind":"pith_short_16","alias_value":"6CKSOQSY7BMTJSXP","created_at":"2026-07-05T11:42:04Z"},{"alias_kind":"pith_short_8","alias_value":"6CKSOQSY","created_at":"2026-07-05T11:42:04Z"}],"graph_snapshots":[{"event_id":"sha256:a29502fd812fadd8855caedfaf4360533fdcc567ed48d63ff6218b9fa0554e10","target":"graph","created_at":"2026-07-05T11:42:04Z","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/2507.17239/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Foundation models have recently gained tremendous popularity in medical image analysis. State-of-the-art methods leverage either paired image-text data via vision-language pre-training or unpaired image data via self-supervised pre-training to learn foundation models with generalizable image features to boost downstream task performance. However, learning foundation models exclusively on either paired or unpaired image data limits their ability to learn richer and more comprehensive image features. In this paper, we investigate a novel task termed semi-supervised vision-language pre-training, ","authors_text":"Jun Zhou, Lei Zhu, Rick Siow Mong Goh, Yong Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-23T06:15:54Z","title":"MaskedCLIP: Bridging the Masked and CLIP Space for Semi-Supervised Medical Vision-Language Pre-training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.17239","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:a3ab8d66f0fe63db0bbb36741950422b3c606ef10b9fbbc74eb585f77107bebd","target":"record","created_at":"2026-07-05T11:42:04Z","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":"efb9f0b21eb828ece32e8438a8610743c3022c90d82beab7bd54e612d9707a3c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-23T06:15:54Z","title_canon_sha256":"813ab1ee225bdfb2f1acc428c05ee6b13659b8da6d1b7ff73aa062c2731e41a0"},"schema_version":"1.0","source":{"id":"2507.17239","kind":"arxiv","version":1}},"canonical_sha256":"f095274258f85934caefa59364958f0e7fab1843f5cd22de3f6bd531ab0d5fc5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f095274258f85934caefa59364958f0e7fab1843f5cd22de3f6bd531ab0d5fc5","first_computed_at":"2026-07-05T11:42:04.191174Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:42:04.191174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rPJjxdyzAVYX+ybq2/9O7LqSey/4PiYHs06djM68hCAt1zxjIzwXpRQd/BEj1Q7eB0XC2ic7xVWx90rftKZ6Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:42:04.191708Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.17239","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a3ab8d66f0fe63db0bbb36741950422b3c606ef10b9fbbc74eb585f77107bebd","sha256:a29502fd812fadd8855caedfaf4360533fdcc567ed48d63ff6218b9fa0554e10"],"state_sha256":"ee702020c86abbd4b7ed6376f4ea0c03f4421c2d3a154d935df143df6e9e6095"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vxAJaHbTWo0incKg/AkdbCZYmhOwFPCtETeluhKY+f0gry7x6b7/9YGPaEFgqL/oeqX/0gHRZOqKd48+sbxcCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T16:44:29.877473Z","bundle_sha256":"27a6833ebdf51d155088a6c72440f5670d57511973f15c67d837bd7b91b8a85b"}}