{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:J4ZG5S7WAL4EL7MIJNZZODDMFR","short_pith_number":"pith:J4ZG5S7W","canonical_record":{"source":{"id":"2508.17524","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-24T21:11:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f176135b1783d137d0139cb400676678750d9d5c526ef886e6b9a0fd34256445","abstract_canon_sha256":"6043a330b6c79c2f1ef4174178b2adcf23b26a442fd8343a6d813f40ae7ad5c3"},"schema_version":"1.0"},"canonical_sha256":"4f326ecbf602f845fd884b73970c6c2c5698e027a7f77c37baa69ce279e4c277","source":{"kind":"arxiv","id":"2508.17524","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.17524","created_at":"2026-07-05T11:58:42Z"},{"alias_kind":"arxiv_version","alias_value":"2508.17524v1","created_at":"2026-07-05T11:58:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.17524","created_at":"2026-07-05T11:58:42Z"},{"alias_kind":"pith_short_12","alias_value":"J4ZG5S7WAL4E","created_at":"2026-07-05T11:58:42Z"},{"alias_kind":"pith_short_16","alias_value":"J4ZG5S7WAL4EL7MI","created_at":"2026-07-05T11:58:42Z"},{"alias_kind":"pith_short_8","alias_value":"J4ZG5S7W","created_at":"2026-07-05T11:58:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:J4ZG5S7WAL4EL7MIJNZZODDMFR","target":"record","payload":{"canonical_record":{"source":{"id":"2508.17524","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-24T21:11:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f176135b1783d137d0139cb400676678750d9d5c526ef886e6b9a0fd34256445","abstract_canon_sha256":"6043a330b6c79c2f1ef4174178b2adcf23b26a442fd8343a6d813f40ae7ad5c3"},"schema_version":"1.0"},"canonical_sha256":"4f326ecbf602f845fd884b73970c6c2c5698e027a7f77c37baa69ce279e4c277","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:58:42.784830Z","signature_b64":"ER1k6742h6yJjQvoFGvaD0M+rJnzQJdIxV9XKOWRL8GHstNQVgrmZ/qls22fA3vNgl5D9UKvhkaPaM6tA4mAAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4f326ecbf602f845fd884b73970c6c2c5698e027a7f77c37baa69ce279e4c277","last_reissued_at":"2026-07-05T11:58:42.784366Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:58:42.784366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.17524","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":"2026-07-05T11:58:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zBi8+AWhhKk9A/8Q+TQyd7Zud2eKEFjkZH+u/pGsVGpQom9nSrYqcHlPC+Qanos8AIktUGLuV078rD+W4PSiBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T00:43:22.738641Z"},"content_sha256":"328df78ca7add241e2069bb4c67d8f1c578c9e8d5174f714840baa198e617f6d","schema_version":"1.0","event_id":"sha256:328df78ca7add241e2069bb4c67d8f1c578c9e8d5174f714840baa198e617f6d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:J4ZG5S7WAL4EL7MIJNZZODDMFR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OmniMRI: A Unified Vision--Language Foundation Model for Generalist MRI Interpretation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Albert Jang, Aurora Rofena, Fang Liu, Haozhe Liao, Ruimin Feng, Xingxin He, Zhaoye Zhou","submitted_at":"2025-08-24T21:11:28Z","abstract_excerpt":"Magnetic Resonance Imaging (MRI) is indispensable in clinical practice but remains constrained by fragmented, multi-stage workflows encompassing acquisition, reconstruction, segmentation, detection, diagnosis, and reporting. While deep learning has achieved progress in individual tasks, existing approaches are often anatomy- or application-specific and lack generalizability across diverse clinical settings. Moreover, current pipelines rarely integrate imaging data with complementary language information that radiologists rely on in routine practice. Here, we introduce OmniMRI, a unified vision"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.17524","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/2508.17524/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":"2026-07-05T11:58:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EySNn9yHSff8fIlax6i6UBVOgnzaGu/8UZ0CREExI4JpFtLOL8jijfEl1x2X+iHVTL+hardL9WzRkXY5BGs1AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T00:43:22.739274Z"},"content_sha256":"4627fe6c8ded1c816687df99b151ed59d1208f497ecdd2d40bfc58a786b9b1f8","schema_version":"1.0","event_id":"sha256:4627fe6c8ded1c816687df99b151ed59d1208f497ecdd2d40bfc58a786b9b1f8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J4ZG5S7WAL4EL7MIJNZZODDMFR/bundle.json","state_url":"https://pith.science/pith/J4ZG5S7WAL4EL7MIJNZZODDMFR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J4ZG5S7WAL4EL7MIJNZZODDMFR/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":"2026-08-09T00:43:22Z","links":{"resolver":"https://pith.science/pith/J4ZG5S7WAL4EL7MIJNZZODDMFR","bundle":"https://pith.science/pith/J4ZG5S7WAL4EL7MIJNZZODDMFR/bundle.json","state":"https://pith.science/pith/J4ZG5S7WAL4EL7MIJNZZODDMFR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J4ZG5S7WAL4EL7MIJNZZODDMFR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:J4ZG5S7WAL4EL7MIJNZZODDMFR","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":"6043a330b6c79c2f1ef4174178b2adcf23b26a442fd8343a6d813f40ae7ad5c3","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-24T21:11:28Z","title_canon_sha256":"f176135b1783d137d0139cb400676678750d9d5c526ef886e6b9a0fd34256445"},"schema_version":"1.0","source":{"id":"2508.17524","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.17524","created_at":"2026-07-05T11:58:42Z"},{"alias_kind":"arxiv_version","alias_value":"2508.17524v1","created_at":"2026-07-05T11:58:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.17524","created_at":"2026-07-05T11:58:42Z"},{"alias_kind":"pith_short_12","alias_value":"J4ZG5S7WAL4E","created_at":"2026-07-05T11:58:42Z"},{"alias_kind":"pith_short_16","alias_value":"J4ZG5S7WAL4EL7MI","created_at":"2026-07-05T11:58:42Z"},{"alias_kind":"pith_short_8","alias_value":"J4ZG5S7W","created_at":"2026-07-05T11:58:42Z"}],"graph_snapshots":[{"event_id":"sha256:4627fe6c8ded1c816687df99b151ed59d1208f497ecdd2d40bfc58a786b9b1f8","target":"graph","created_at":"2026-07-05T11:58:42Z","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/2508.17524/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Magnetic Resonance Imaging (MRI) is indispensable in clinical practice but remains constrained by fragmented, multi-stage workflows encompassing acquisition, reconstruction, segmentation, detection, diagnosis, and reporting. While deep learning has achieved progress in individual tasks, existing approaches are often anatomy- or application-specific and lack generalizability across diverse clinical settings. Moreover, current pipelines rarely integrate imaging data with complementary language information that radiologists rely on in routine practice. Here, we introduce OmniMRI, a unified vision","authors_text":"Albert Jang, Aurora Rofena, Fang Liu, Haozhe Liao, Ruimin Feng, Xingxin He, Zhaoye Zhou","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-24T21:11:28Z","title":"OmniMRI: A Unified Vision--Language Foundation Model for Generalist MRI Interpretation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.17524","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":"sha256:328df78ca7add241e2069bb4c67d8f1c578c9e8d5174f714840baa198e617f6d","target":"record","created_at":"2026-07-05T11:58:42Z","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":"6043a330b6c79c2f1ef4174178b2adcf23b26a442fd8343a6d813f40ae7ad5c3","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-24T21:11:28Z","title_canon_sha256":"f176135b1783d137d0139cb400676678750d9d5c526ef886e6b9a0fd34256445"},"schema_version":"1.0","source":{"id":"2508.17524","kind":"arxiv","version":1}},"canonical_sha256":"4f326ecbf602f845fd884b73970c6c2c5698e027a7f77c37baa69ce279e4c277","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f326ecbf602f845fd884b73970c6c2c5698e027a7f77c37baa69ce279e4c277","first_computed_at":"2026-07-05T11:58:42.784366Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:58:42.784366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ER1k6742h6yJjQvoFGvaD0M+rJnzQJdIxV9XKOWRL8GHstNQVgrmZ/qls22fA3vNgl5D9UKvhkaPaM6tA4mAAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:58:42.784830Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.17524","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:328df78ca7add241e2069bb4c67d8f1c578c9e8d5174f714840baa198e617f6d","sha256:4627fe6c8ded1c816687df99b151ed59d1208f497ecdd2d40bfc58a786b9b1f8"],"state_sha256":"cecdf5af7e2bc079ffeee2090a60c32dea32cf9e04159dcd2709f8af0a0390ee"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U2R2aMrq5h2WTq+eEmzaxcW4njp6akC+uVymXroRGqKFxEB+ZCdm0XE9eFAND5536by464uTATx+e+WWxFK0Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T00:43:22.743997Z","bundle_sha256":"b465d92be54415eaeeb0c8a4db64dbb990260ccd71acc0b817d6c305a9de9aea"}}