{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:UHZY3X2NEPHCKOWCK3QAWKAUQ6","short_pith_number":"pith:UHZY3X2N","canonical_record":{"source":{"id":"2506.08356","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-10T02:14:15Z","cross_cats_sorted":[],"title_canon_sha256":"c6368c9c084f48facd072f1b12f8a898c50ff1dc9c4e838c596755fd066657ad","abstract_canon_sha256":"c090129b2eecec7b53d5da41aff9ff98b8742de5b37cf0383931db7075a2a36e"},"schema_version":"1.0"},"canonical_sha256":"a1f38ddf4d23ce253ac256e00b281487855ae97daeac3159322cb45e91b624f8","source":{"kind":"arxiv","id":"2506.08356","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.08356","created_at":"2026-07-05T11:19:53Z"},{"alias_kind":"arxiv_version","alias_value":"2506.08356v2","created_at":"2026-07-05T11:19:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.08356","created_at":"2026-07-05T11:19:53Z"},{"alias_kind":"pith_short_12","alias_value":"UHZY3X2NEPHC","created_at":"2026-07-05T11:19:53Z"},{"alias_kind":"pith_short_16","alias_value":"UHZY3X2NEPHCKOWC","created_at":"2026-07-05T11:19:53Z"},{"alias_kind":"pith_short_8","alias_value":"UHZY3X2N","created_at":"2026-07-05T11:19:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:UHZY3X2NEPHCKOWCK3QAWKAUQ6","target":"record","payload":{"canonical_record":{"source":{"id":"2506.08356","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-10T02:14:15Z","cross_cats_sorted":[],"title_canon_sha256":"c6368c9c084f48facd072f1b12f8a898c50ff1dc9c4e838c596755fd066657ad","abstract_canon_sha256":"c090129b2eecec7b53d5da41aff9ff98b8742de5b37cf0383931db7075a2a36e"},"schema_version":"1.0"},"canonical_sha256":"a1f38ddf4d23ce253ac256e00b281487855ae97daeac3159322cb45e91b624f8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:19:53.759803Z","signature_b64":"OPvDGbGC2MVATTdWQaOekkNLglPgtWLLcIAU7RHdkmUTS1tyig5nlwM/bC/jxAxbwcB5ICc191VLfST9LrejDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a1f38ddf4d23ce253ac256e00b281487855ae97daeac3159322cb45e91b624f8","last_reissued_at":"2026-07-05T11:19:53.759348Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:19:53.759348Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.08356","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:19:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2YANe8Zx9pxXKjTAPd8xBBG9pMqg5Rf1oUkSrya88M2XpRFbj1PJwfdk6kY6lr5dmaLYpIGFjvPFi3H8ukhGDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T07:21:42.626608Z"},"content_sha256":"3dbe689f02972ab533dec68a7e266326787ef93f8aecd3b0db800e040848d29c","schema_version":"1.0","event_id":"sha256:3dbe689f02972ab533dec68a7e266326787ef93f8aecd3b0db800e040848d29c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:UHZY3X2NEPHCKOWCK3QAWKAUQ6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andrew J Feola, Gabriela Sanchez-Rodriguez, Jing Li, Lingchao Mao, Shivang Chopra, Zsolt Kira","submitted_at":"2025-06-10T02:14:15Z","abstract_excerpt":"Different medical imaging modalities capture diagnostic information at varying spatial resolutions, from coarse global patterns to fine-grained localized structures. However, most existing vision-language frameworks in the medical domain apply a uniform strategy for local feature extraction, overlooking the modality-specific demands. In this work, we present MedMoE, a modular and extensible vision-language processing framework that dynamically adapts visual representation based on the diagnostic context. MedMoE incorporates a Mixture-of-Experts (MoE) module conditioned on the report type, whic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.08356","kind":"arxiv","version":2},"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/2506.08356/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":"2026-07-05T11:19:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g5GWFq7OeP1csHwCl1GD/ynfVR7EvNL0cWKi4uoKJ9ok+K6NEiVk9dnb/kUKuQQcxihbKzVJY0vFYBTyoSwuAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T07:21:42.626984Z"},"content_sha256":"9d7f05f9e85c78d3f54373da95bd1ff28c0668504edd7565b848463a9d4c7160","schema_version":"1.0","event_id":"sha256:9d7f05f9e85c78d3f54373da95bd1ff28c0668504edd7565b848463a9d4c7160"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UHZY3X2NEPHCKOWCK3QAWKAUQ6/bundle.json","state_url":"https://pith.science/pith/UHZY3X2NEPHCKOWCK3QAWKAUQ6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UHZY3X2NEPHCKOWCK3QAWKAUQ6/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":"2026-08-04T07:21:42Z","links":{"resolver":"https://pith.science/pith/UHZY3X2NEPHCKOWCK3QAWKAUQ6","bundle":"https://pith.science/pith/UHZY3X2NEPHCKOWCK3QAWKAUQ6/bundle.json","state":"https://pith.science/pith/UHZY3X2NEPHCKOWCK3QAWKAUQ6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UHZY3X2NEPHCKOWCK3QAWKAUQ6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UHZY3X2NEPHCKOWCK3QAWKAUQ6","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":"c090129b2eecec7b53d5da41aff9ff98b8742de5b37cf0383931db7075a2a36e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-10T02:14:15Z","title_canon_sha256":"c6368c9c084f48facd072f1b12f8a898c50ff1dc9c4e838c596755fd066657ad"},"schema_version":"1.0","source":{"id":"2506.08356","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.08356","created_at":"2026-07-05T11:19:53Z"},{"alias_kind":"arxiv_version","alias_value":"2506.08356v2","created_at":"2026-07-05T11:19:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.08356","created_at":"2026-07-05T11:19:53Z"},{"alias_kind":"pith_short_12","alias_value":"UHZY3X2NEPHC","created_at":"2026-07-05T11:19:53Z"},{"alias_kind":"pith_short_16","alias_value":"UHZY3X2NEPHCKOWC","created_at":"2026-07-05T11:19:53Z"},{"alias_kind":"pith_short_8","alias_value":"UHZY3X2N","created_at":"2026-07-05T11:19:53Z"}],"graph_snapshots":[{"event_id":"sha256:9d7f05f9e85c78d3f54373da95bd1ff28c0668504edd7565b848463a9d4c7160","target":"graph","created_at":"2026-07-05T11:19:53Z","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/2506.08356/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Different medical imaging modalities capture diagnostic information at varying spatial resolutions, from coarse global patterns to fine-grained localized structures. However, most existing vision-language frameworks in the medical domain apply a uniform strategy for local feature extraction, overlooking the modality-specific demands. In this work, we present MedMoE, a modular and extensible vision-language processing framework that dynamically adapts visual representation based on the diagnostic context. MedMoE incorporates a Mixture-of-Experts (MoE) module conditioned on the report type, whic","authors_text":"Andrew J Feola, Gabriela Sanchez-Rodriguez, Jing Li, Lingchao Mao, Shivang Chopra, Zsolt Kira","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-10T02:14:15Z","title":"MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.08356","kind":"arxiv","version":2},"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":"sha256:3dbe689f02972ab533dec68a7e266326787ef93f8aecd3b0db800e040848d29c","target":"record","created_at":"2026-07-05T11:19:53Z","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":"c090129b2eecec7b53d5da41aff9ff98b8742de5b37cf0383931db7075a2a36e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-10T02:14:15Z","title_canon_sha256":"c6368c9c084f48facd072f1b12f8a898c50ff1dc9c4e838c596755fd066657ad"},"schema_version":"1.0","source":{"id":"2506.08356","kind":"arxiv","version":2}},"canonical_sha256":"a1f38ddf4d23ce253ac256e00b281487855ae97daeac3159322cb45e91b624f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a1f38ddf4d23ce253ac256e00b281487855ae97daeac3159322cb45e91b624f8","first_computed_at":"2026-07-05T11:19:53.759348Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:53.759348Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OPvDGbGC2MVATTdWQaOekkNLglPgtWLLcIAU7RHdkmUTS1tyig5nlwM/bC/jxAxbwcB5ICc191VLfST9LrejDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:53.759803Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.08356","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3dbe689f02972ab533dec68a7e266326787ef93f8aecd3b0db800e040848d29c","sha256:9d7f05f9e85c78d3f54373da95bd1ff28c0668504edd7565b848463a9d4c7160"],"state_sha256":"336f8d02d3dec4999ef2a75f70f7c1562b5b85f355eb331f52a7fe22a3f034ff"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g0wTMr6CRvXIa4v6mo+iD48r6vcdTuAXmGt/oZS5++S4rWV33hSLljE/kWCqw8HIU4YTG+mMfP+2lHhJywpQAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T07:21:42.629680Z","bundle_sha256":"c52bba0d72161dac8189046ad45522b786d4fe1833a7c858e35854b49e669f39"}}