{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RJ7GDQZZG5DP4QIUYHP6QZ5OYB","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":"c7d63089077c91320f59fc9a1e531ca35b345b999f95797f4af63259cbc578b6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-07T02:41:05Z","title_canon_sha256":"6e9148a8fc446a62feb8a2874bc86aa9c69162e87b433bc2ee944bc0394ec803"},"schema_version":"1.0","source":{"id":"2606.08420","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.08420","created_at":"2026-06-09T01:05:36Z"},{"alias_kind":"arxiv_version","alias_value":"2606.08420v1","created_at":"2026-06-09T01:05:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.08420","created_at":"2026-06-09T01:05:36Z"},{"alias_kind":"pith_short_12","alias_value":"RJ7GDQZZG5DP","created_at":"2026-06-09T01:05:36Z"},{"alias_kind":"pith_short_16","alias_value":"RJ7GDQZZG5DP4QIU","created_at":"2026-06-09T01:05:36Z"},{"alias_kind":"pith_short_8","alias_value":"RJ7GDQZZ","created_at":"2026-06-09T01:05:36Z"}],"graph_snapshots":[{"event_id":"sha256:e14d619b25badb8e5b71798a44710f4fae5257e2461dc14c8fb8652a516bbaa3","target":"graph","created_at":"2026-06-09T01:05:36Z","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/2606.08420/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-language models (VLMs) pretrained on large-scale image-text pairs demonstrate strong image-level understanding, but are primarily optimized for global alignment and do not explicitly encode fine-grained anatomical structure, limiting their suitability for spatially precise tasks such as segmentation. We introduce CheXanatomy, a framework that integrates explicit anatomical knowledge into a pretrained VLM through autoregressive token-space supervision. Instead of adding task-specific decoder heads, the model is trained to generate anatomical segmentation masks via next-token prediction. ","authors_text":"Christian Bluethgen, Curtis Langlotz, Sergios Gatidis","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-07T02:41:05Z","title":"CheXanatomy: Anatomy-Aware Vision-Language Modeling for Chest Radiographs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.08420","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":"sha256:9954872528aba86695106ea3d9718e42475f2c3e56e352604667ce5a6fc2f6c6","target":"record","created_at":"2026-06-09T01:05:36Z","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":"c7d63089077c91320f59fc9a1e531ca35b345b999f95797f4af63259cbc578b6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-07T02:41:05Z","title_canon_sha256":"6e9148a8fc446a62feb8a2874bc86aa9c69162e87b433bc2ee944bc0394ec803"},"schema_version":"1.0","source":{"id":"2606.08420","kind":"arxiv","version":1}},"canonical_sha256":"8a7e61c3393746fe4114c1dfe867aec042a69033d24f36406e817cc18d0a4cdc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8a7e61c3393746fe4114c1dfe867aec042a69033d24f36406e817cc18d0a4cdc","first_computed_at":"2026-06-09T01:05:36.196618Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T01:05:36.196618Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Jeflgrm/AdUVMuSJRHUQHZ2hBgf88Mo6QrrNJgRg/NQhJFYZr8Bz8vBYwsj16EF1n0iBVGnr7j9Yu3bv1V0GDQ==","signature_status":"signed_v1","signed_at":"2026-06-09T01:05:36.197035Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.08420","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9954872528aba86695106ea3d9718e42475f2c3e56e352604667ce5a6fc2f6c6","sha256:e14d619b25badb8e5b71798a44710f4fae5257e2461dc14c8fb8652a516bbaa3"],"state_sha256":"2507f2276e0b1ecc89aa845ad9037d68e21cfd7ea0921a99b7e7ec257d5cbead"}