{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:3UZ4IVBLFJZS3GTVWYKZUZJGC4","short_pith_number":"pith:3UZ4IVBL","canonical_record":{"source":{"id":"2606.21194","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-19T08:06:09Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"fc562d9c4e9611b63d41d748ddce7358af27fbc45fe76506502ebeccf3123c33","abstract_canon_sha256":"f648d74b1b2447858eb5df1b2660760473afb505e1e36c4b4e26b5aba1192b2d"},"schema_version":"1.0"},"canonical_sha256":"dd33c4542b2a732d9a75b6159a652617283cb76dc64b16cf9f474ca763bf7c77","source":{"kind":"arxiv","id":"2606.21194","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.21194","created_at":"2026-06-23T01:12:33Z"},{"alias_kind":"arxiv_version","alias_value":"2606.21194v1","created_at":"2026-06-23T01:12:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.21194","created_at":"2026-06-23T01:12:33Z"},{"alias_kind":"pith_short_12","alias_value":"3UZ4IVBLFJZS","created_at":"2026-06-23T01:12:33Z"},{"alias_kind":"pith_short_16","alias_value":"3UZ4IVBLFJZS3GTV","created_at":"2026-06-23T01:12:33Z"},{"alias_kind":"pith_short_8","alias_value":"3UZ4IVBL","created_at":"2026-06-23T01:12:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:3UZ4IVBLFJZS3GTVWYKZUZJGC4","target":"record","payload":{"canonical_record":{"source":{"id":"2606.21194","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-19T08:06:09Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"fc562d9c4e9611b63d41d748ddce7358af27fbc45fe76506502ebeccf3123c33","abstract_canon_sha256":"f648d74b1b2447858eb5df1b2660760473afb505e1e36c4b4e26b5aba1192b2d"},"schema_version":"1.0"},"canonical_sha256":"dd33c4542b2a732d9a75b6159a652617283cb76dc64b16cf9f474ca763bf7c77","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T01:12:33.051826Z","signature_b64":"ZMafv8Si2Exlfsc17oDt5yJ/vlrA5eymWwHbQkvRGIWCZ8O5SAcxgJ/b2MwaJHkecM5HAOC6Agisox2rbw8RDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd33c4542b2a732d9a75b6159a652617283cb76dc64b16cf9f474ca763bf7c77","last_reissued_at":"2026-06-23T01:12:33.051379Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T01:12:33.051379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.21194","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":"2026-06-23T01:12:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ejyeIRTmB5q57UnjpM6xmztsJzIaSOL4le1JNkN8UGicw9NX7tdrPpiyGza3TGF7MuYj94epPPJXfutppcyvBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T04:42:45.959278Z"},"content_sha256":"b103e73f086f9e3e0b6c0c2a07af2c55ec517af14629fbd86a1a7f5d02827a65","schema_version":"1.0","event_id":"sha256:b103e73f086f9e3e0b6c0c2a07af2c55ec517af14629fbd86a1a7f5d02827a65"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:3UZ4IVBLFJZS3GTVWYKZUZJGC4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MEDLAYXPLAIN: Benchmarking the Expert-Lay Gap in Medical Vision-Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.CV","authors_text":"Chae Young Lim, Han Jang, Heeseong Eum, Hyeonjin Goh, Junhyeok Lee, Kyu Sung Choi, Songsoo Kim","submitted_at":"2026-06-19T08:06:09Z","abstract_excerpt":"Medical Vision-Language Models (Med-VLMs) achieve strong expert-level performance, yet their ability to generate patient-accessible descriptions remains underexplored. With the 21st Century Cures Act now mandating immediate patient access to diagnostic imaging results, evaluating whether Med-VLMs can bridge this Expert-Lay Gap is both urgent and clinically consequential for patient education and shared decision-making. To this end, we introduce MedLayXPlain, the first large-scale multimodal benchmark and evaluation framework for Medical Lay Language Generation (MLLG). MedLayXPlain-122K provide"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.21194","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/2606.21194/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":"2026-06-23T01:12:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8d3d3bKzZ5h9bcnLsZcLWav9m93xNM/FKjuAt7Fk0nfUodGsf4sjl/HgFHe4p2XzPVk9ZWHHQaRMnLo7RB9oBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T04:42:45.959956Z"},"content_sha256":"c87288aabfb6c56ad3fa69a2f099481df1bfdb054fe553d5895bb218df183648","schema_version":"1.0","event_id":"sha256:c87288aabfb6c56ad3fa69a2f099481df1bfdb054fe553d5895bb218df183648"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3UZ4IVBLFJZS3GTVWYKZUZJGC4/bundle.json","state_url":"https://pith.science/pith/3UZ4IVBLFJZS3GTVWYKZUZJGC4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3UZ4IVBLFJZS3GTVWYKZUZJGC4/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":"2026-07-04T04:42:45Z","links":{"resolver":"https://pith.science/pith/3UZ4IVBLFJZS3GTVWYKZUZJGC4","bundle":"https://pith.science/pith/3UZ4IVBLFJZS3GTVWYKZUZJGC4/bundle.json","state":"https://pith.science/pith/3UZ4IVBLFJZS3GTVWYKZUZJGC4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3UZ4IVBLFJZS3GTVWYKZUZJGC4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3UZ4IVBLFJZS3GTVWYKZUZJGC4","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":"f648d74b1b2447858eb5df1b2660760473afb505e1e36c4b4e26b5aba1192b2d","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-19T08:06:09Z","title_canon_sha256":"fc562d9c4e9611b63d41d748ddce7358af27fbc45fe76506502ebeccf3123c33"},"schema_version":"1.0","source":{"id":"2606.21194","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.21194","created_at":"2026-06-23T01:12:33Z"},{"alias_kind":"arxiv_version","alias_value":"2606.21194v1","created_at":"2026-06-23T01:12:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.21194","created_at":"2026-06-23T01:12:33Z"},{"alias_kind":"pith_short_12","alias_value":"3UZ4IVBLFJZS","created_at":"2026-06-23T01:12:33Z"},{"alias_kind":"pith_short_16","alias_value":"3UZ4IVBLFJZS3GTV","created_at":"2026-06-23T01:12:33Z"},{"alias_kind":"pith_short_8","alias_value":"3UZ4IVBL","created_at":"2026-06-23T01:12:33Z"}],"graph_snapshots":[{"event_id":"sha256:c87288aabfb6c56ad3fa69a2f099481df1bfdb054fe553d5895bb218df183648","target":"graph","created_at":"2026-06-23T01:12:33Z","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/2606.21194/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Medical Vision-Language Models (Med-VLMs) achieve strong expert-level performance, yet their ability to generate patient-accessible descriptions remains underexplored. With the 21st Century Cures Act now mandating immediate patient access to diagnostic imaging results, evaluating whether Med-VLMs can bridge this Expert-Lay Gap is both urgent and clinically consequential for patient education and shared decision-making. To this end, we introduce MedLayXPlain, the first large-scale multimodal benchmark and evaluation framework for Medical Lay Language Generation (MLLG). MedLayXPlain-122K provide","authors_text":"Chae Young Lim, Han Jang, Heeseong Eum, Hyeonjin Goh, Junhyeok Lee, Kyu Sung Choi, Songsoo Kim","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-19T08:06:09Z","title":"MEDLAYXPLAIN: Benchmarking the Expert-Lay Gap in Medical Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.21194","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:b103e73f086f9e3e0b6c0c2a07af2c55ec517af14629fbd86a1a7f5d02827a65","target":"record","created_at":"2026-06-23T01:12:33Z","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":"f648d74b1b2447858eb5df1b2660760473afb505e1e36c4b4e26b5aba1192b2d","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-19T08:06:09Z","title_canon_sha256":"fc562d9c4e9611b63d41d748ddce7358af27fbc45fe76506502ebeccf3123c33"},"schema_version":"1.0","source":{"id":"2606.21194","kind":"arxiv","version":1}},"canonical_sha256":"dd33c4542b2a732d9a75b6159a652617283cb76dc64b16cf9f474ca763bf7c77","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd33c4542b2a732d9a75b6159a652617283cb76dc64b16cf9f474ca763bf7c77","first_computed_at":"2026-06-23T01:12:33.051379Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T01:12:33.051379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZMafv8Si2Exlfsc17oDt5yJ/vlrA5eymWwHbQkvRGIWCZ8O5SAcxgJ/b2MwaJHkecM5HAOC6Agisox2rbw8RDg==","signature_status":"signed_v1","signed_at":"2026-06-23T01:12:33.051826Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.21194","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b103e73f086f9e3e0b6c0c2a07af2c55ec517af14629fbd86a1a7f5d02827a65","sha256:c87288aabfb6c56ad3fa69a2f099481df1bfdb054fe553d5895bb218df183648"],"state_sha256":"b85d85f9cb24737d6ab4d8eca77de6b6b66db7158a0c4edb00a585e178ebe7c4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CvUEOWNIkxGibTimBRZOjJWx/ylM3XY8x82wn5sVRh3RwYfTsznRTdYufnqK1gA98dJ6QEoOH0VoMsbIfl0iAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T04:42:45.963008Z","bundle_sha256":"ee3f461429be0bd3df0bc90dd5eb9c4424d6be79a030d9875bac5756160d01fd"}}