{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:VXECEYAIGGXLYIMILK4BETG7TJ","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":"bc7819d57116351efd040122d19c1b8049ddf9cc142acc6304c6f57bf0dbc1e6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-12T01:29:37Z","title_canon_sha256":"a4ce46d49db72060c29473b12716f371106d8c9e5c6175ecec151067ce8161e0"},"schema_version":"1.0","source":{"id":"2309.05904","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.05904","created_at":"2026-07-05T09:02:54Z"},{"alias_kind":"arxiv_version","alias_value":"2309.05904v3","created_at":"2026-07-05T09:02:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.05904","created_at":"2026-07-05T09:02:54Z"},{"alias_kind":"pith_short_12","alias_value":"VXECEYAIGGXL","created_at":"2026-07-05T09:02:54Z"},{"alias_kind":"pith_short_16","alias_value":"VXECEYAIGGXLYIMI","created_at":"2026-07-05T09:02:54Z"},{"alias_kind":"pith_short_8","alias_value":"VXECEYAI","created_at":"2026-07-05T09:02:54Z"}],"graph_snapshots":[{"event_id":"sha256:6170295b9ba2156cd937ae42b831481c01ebfd7a1a4795156d59d3bc32dc0fcf","target":"graph","created_at":"2026-07-05T09:02:54Z","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/2309.05904/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, multi-modal vision-language foundation models have gained significant attention in the medical field. While these models offer great opportunities, they still face crucial challenges, such as the requirement for fine-grained knowledge understanding in computer-aided diagnosis and the capability of utilizing very limited or even no task-specific labeled data in real-world clinical applications. In this study, we present MaCo, a masked contrastive chest X-ray foundation model that tackles these challenges. MaCo explores masked contrastive learning to simultaneously achieve fine-grained","authors_text":"Cheng Li, Hairong Zheng, Hao Yang, Hong-Yu Zhou, Jiarun Liu, Shanshan Wang, Shaoting Zhang, Weijian Huang, Yong Liang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-12T01:29:37Z","title":"Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.05904","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":"sha256:022c8f0e0567b7a7eb26ae089c8eff4c9f782bff46994e9a465243580881c97d","target":"record","created_at":"2026-07-05T09:02:54Z","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":"bc7819d57116351efd040122d19c1b8049ddf9cc142acc6304c6f57bf0dbc1e6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-12T01:29:37Z","title_canon_sha256":"a4ce46d49db72060c29473b12716f371106d8c9e5c6175ecec151067ce8161e0"},"schema_version":"1.0","source":{"id":"2309.05904","kind":"arxiv","version":3}},"canonical_sha256":"adc822600831aebc21885ab8124cdf9a5d4c4a9efcb949da6c4f3571f4c97f4c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"adc822600831aebc21885ab8124cdf9a5d4c4a9efcb949da6c4f3571f4c97f4c","first_computed_at":"2026-07-05T09:02:54.087636Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:02:54.087636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1CbGlZVAzmyj/RCkkXQVmnFYR3Hde0UBLfvv3Z552ETTQAMrm0kS/B2bAVKKGi8X9wkf7Y2fELlZY7rJD46ECw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:02:54.088039Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.05904","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:022c8f0e0567b7a7eb26ae089c8eff4c9f782bff46994e9a465243580881c97d","sha256:6170295b9ba2156cd937ae42b831481c01ebfd7a1a4795156d59d3bc32dc0fcf"],"state_sha256":"c58ce76a1eecfe58d769148cde4832f5e8458192b4093afcd02661a4cc0d00f5"}