{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:LXI5WCQM535D6JLZ25UEFDX2T7","short_pith_number":"pith:LXI5WCQM","canonical_record":{"source":{"id":"2606.14957","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-12T21:02:09Z","cross_cats_sorted":[],"title_canon_sha256":"da8048332eda0fbab58e9f78a12c3f3cc2a55d6776348ede8a69a513c39d04c5","abstract_canon_sha256":"d645b57bd6175870e509471fd733c1add3543946a6cfc6ae9af86e3641802193"},"schema_version":"1.0"},"canonical_sha256":"5dd1db0a0ceefa3f2579d768428efa9fd88b27d66db11e8c278bdfd9d7387e0c","source":{"kind":"arxiv","id":"2606.14957","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.14957","created_at":"2026-06-19T16:12:56Z"},{"alias_kind":"arxiv_version","alias_value":"2606.14957v2","created_at":"2026-06-19T16:12:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.14957","created_at":"2026-06-19T16:12:56Z"},{"alias_kind":"pith_short_12","alias_value":"LXI5WCQM535D","created_at":"2026-06-19T16:12:56Z"},{"alias_kind":"pith_short_16","alias_value":"LXI5WCQM535D6JLZ","created_at":"2026-06-19T16:12:56Z"},{"alias_kind":"pith_short_8","alias_value":"LXI5WCQM","created_at":"2026-06-19T16:12:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:LXI5WCQM535D6JLZ25UEFDX2T7","target":"record","payload":{"canonical_record":{"source":{"id":"2606.14957","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-12T21:02:09Z","cross_cats_sorted":[],"title_canon_sha256":"da8048332eda0fbab58e9f78a12c3f3cc2a55d6776348ede8a69a513c39d04c5","abstract_canon_sha256":"d645b57bd6175870e509471fd733c1add3543946a6cfc6ae9af86e3641802193"},"schema_version":"1.0"},"canonical_sha256":"5dd1db0a0ceefa3f2579d768428efa9fd88b27d66db11e8c278bdfd9d7387e0c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:12:56.025618Z","signature_b64":"7hsdq3FG1Mt1alEtamcf06ZGkpg9wSkQQsuc/coi37EZrn0gReMB3JEkRs4EiYeeIrrQUKCNVi7vvBDtPZuHDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5dd1db0a0ceefa3f2579d768428efa9fd88b27d66db11e8c278bdfd9d7387e0c","last_reissued_at":"2026-06-19T16:12:56.025212Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:12:56.025212Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.14957","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":"2026-06-19T16:12:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dYKQM1etIXRwB0VDupaoPMJHCbrDofLayxR8PqXgJ7abyK9ctA4Jb86MJOq2eBOSAwdXcfXHOr6qrleBvIixDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T23:44:57.846358Z"},"content_sha256":"9ee259262042cd2188cea50a3e2bb2669906d0df5233da465b6feb9e82fd117a","schema_version":"1.0","event_id":"sha256:9ee259262042cd2188cea50a3e2bb2669906d0df5233da465b6feb9e82fd117a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:LXI5WCQM535D6JLZ25UEFDX2T7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Sparse Latent Predictive Foundation Model for Multimodal Neuroimaging","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Arjun Masurkar, Daniel Orringer, Haoxu Huang, James Ryan Loftus, Jennifer Frontera, Jingyun Chen, Jinu Hyun, Kara Melmed, Long Chen, Narges Razavian, Seena Dehkharghani","submitted_at":"2026-06-12T21:02:09Z","abstract_excerpt":"Brain MRIs are routinely acquired as multiple complementary sequences with unique contrast weighting, including T1-weighed imaging (T1w) anatomic and fluid-sensitive T2-weighted (T2w) contrasts. However, methods for learning unified representations across the multitude of MRI contrast mechanisms at health-system scale are lacking. In this study, we introduce Neuro-JEPA, a sparse multimodal neuroimaging foundation model that combines a latent predictive objective with a Mixture-of-Experts architecture to encode brain MRI across core T1w, T2w, and fluid-suppressed FLAIR imaging (FLAIR). We furth"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.14957","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/2606.14957/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":"2026-06-19T16:12:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E3ZjclROEPPW7t/j9LHpMoIkPC3Sm8BKsMqMrzem1FG+cxq27lyjSq6tcFrPj7O62B9226lMJ5l42vPfkXWYCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T23:44:57.846737Z"},"content_sha256":"6c3ec9f37d4a934f0f658efa4a433438fdb6a5155fa5b90c6d2060e760c595c0","schema_version":"1.0","event_id":"sha256:6c3ec9f37d4a934f0f658efa4a433438fdb6a5155fa5b90c6d2060e760c595c0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LXI5WCQM535D6JLZ25UEFDX2T7/bundle.json","state_url":"https://pith.science/pith/LXI5WCQM535D6JLZ25UEFDX2T7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LXI5WCQM535D6JLZ25UEFDX2T7/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":"2026-06-27T23:44:57Z","links":{"resolver":"https://pith.science/pith/LXI5WCQM535D6JLZ25UEFDX2T7","bundle":"https://pith.science/pith/LXI5WCQM535D6JLZ25UEFDX2T7/bundle.json","state":"https://pith.science/pith/LXI5WCQM535D6JLZ25UEFDX2T7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LXI5WCQM535D6JLZ25UEFDX2T7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LXI5WCQM535D6JLZ25UEFDX2T7","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":"d645b57bd6175870e509471fd733c1add3543946a6cfc6ae9af86e3641802193","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-12T21:02:09Z","title_canon_sha256":"da8048332eda0fbab58e9f78a12c3f3cc2a55d6776348ede8a69a513c39d04c5"},"schema_version":"1.0","source":{"id":"2606.14957","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.14957","created_at":"2026-06-19T16:12:56Z"},{"alias_kind":"arxiv_version","alias_value":"2606.14957v2","created_at":"2026-06-19T16:12:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.14957","created_at":"2026-06-19T16:12:56Z"},{"alias_kind":"pith_short_12","alias_value":"LXI5WCQM535D","created_at":"2026-06-19T16:12:56Z"},{"alias_kind":"pith_short_16","alias_value":"LXI5WCQM535D6JLZ","created_at":"2026-06-19T16:12:56Z"},{"alias_kind":"pith_short_8","alias_value":"LXI5WCQM","created_at":"2026-06-19T16:12:56Z"}],"graph_snapshots":[{"event_id":"sha256:6c3ec9f37d4a934f0f658efa4a433438fdb6a5155fa5b90c6d2060e760c595c0","target":"graph","created_at":"2026-06-19T16:12:56Z","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/2606.14957/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Brain MRIs are routinely acquired as multiple complementary sequences with unique contrast weighting, including T1-weighed imaging (T1w) anatomic and fluid-sensitive T2-weighted (T2w) contrasts. However, methods for learning unified representations across the multitude of MRI contrast mechanisms at health-system scale are lacking. In this study, we introduce Neuro-JEPA, a sparse multimodal neuroimaging foundation model that combines a latent predictive objective with a Mixture-of-Experts architecture to encode brain MRI across core T1w, T2w, and fluid-suppressed FLAIR imaging (FLAIR). We furth","authors_text":"Arjun Masurkar, Daniel Orringer, Haoxu Huang, James Ryan Loftus, Jennifer Frontera, Jingyun Chen, Jinu Hyun, Kara Melmed, Long Chen, Narges Razavian, Seena Dehkharghani","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-12T21:02:09Z","title":"Learning Sparse Latent Predictive Foundation Model for Multimodal Neuroimaging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.14957","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":"sha256:9ee259262042cd2188cea50a3e2bb2669906d0df5233da465b6feb9e82fd117a","target":"record","created_at":"2026-06-19T16:12:56Z","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":"d645b57bd6175870e509471fd733c1add3543946a6cfc6ae9af86e3641802193","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-12T21:02:09Z","title_canon_sha256":"da8048332eda0fbab58e9f78a12c3f3cc2a55d6776348ede8a69a513c39d04c5"},"schema_version":"1.0","source":{"id":"2606.14957","kind":"arxiv","version":2}},"canonical_sha256":"5dd1db0a0ceefa3f2579d768428efa9fd88b27d66db11e8c278bdfd9d7387e0c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5dd1db0a0ceefa3f2579d768428efa9fd88b27d66db11e8c278bdfd9d7387e0c","first_computed_at":"2026-06-19T16:12:56.025212Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:12:56.025212Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7hsdq3FG1Mt1alEtamcf06ZGkpg9wSkQQsuc/coi37EZrn0gReMB3JEkRs4EiYeeIrrQUKCNVi7vvBDtPZuHDA==","signature_status":"signed_v1","signed_at":"2026-06-19T16:12:56.025618Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.14957","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ee259262042cd2188cea50a3e2bb2669906d0df5233da465b6feb9e82fd117a","sha256:6c3ec9f37d4a934f0f658efa4a433438fdb6a5155fa5b90c6d2060e760c595c0"],"state_sha256":"1946378f9caaefe7bcdcf8eea610fb85d3b50f8f0e5b2b888814b8acd39f36f0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bV+dO+5k4mSh2cS8cCXF7tLozugcK7VAsWcC21f7xyIcxav5nq0g2ap7xGveY7mzeW3SiIGVF1xOjbrhZC9JCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T23:44:57.850648Z","bundle_sha256":"94a07c0e8d377a5b5398fa1999f359f9c2df5875c312483ff35570f680e6a276"}}