{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:PGBRACGMQWQHZBY53F54AFP2K5","short_pith_number":"pith:PGBRACGM","canonical_record":{"source":{"id":"2606.01784","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-06-01T07:04:12Z","cross_cats_sorted":[],"title_canon_sha256":"0b977996c6442288c843c252c60283d811b8fbe71aa12bb608d28b01309e4885","abstract_canon_sha256":"9842252afaa551f1df8d07e72951c66e91d5684189e61cae2e1d51e0855bba4d"},"schema_version":"1.0"},"canonical_sha256":"79831008cc85a07c871dd97bc015fa575cf1450dafb04efe62b4a7c03c728d21","source":{"kind":"arxiv","id":"2606.01784","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01784","created_at":"2026-06-02T02:04:56Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01784v1","created_at":"2026-06-02T02:04:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01784","created_at":"2026-06-02T02:04:56Z"},{"alias_kind":"pith_short_12","alias_value":"PGBRACGMQWQH","created_at":"2026-06-02T02:04:56Z"},{"alias_kind":"pith_short_16","alias_value":"PGBRACGMQWQHZBY5","created_at":"2026-06-02T02:04:56Z"},{"alias_kind":"pith_short_8","alias_value":"PGBRACGM","created_at":"2026-06-02T02:04:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:PGBRACGMQWQHZBY53F54AFP2K5","target":"record","payload":{"canonical_record":{"source":{"id":"2606.01784","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-06-01T07:04:12Z","cross_cats_sorted":[],"title_canon_sha256":"0b977996c6442288c843c252c60283d811b8fbe71aa12bb608d28b01309e4885","abstract_canon_sha256":"9842252afaa551f1df8d07e72951c66e91d5684189e61cae2e1d51e0855bba4d"},"schema_version":"1.0"},"canonical_sha256":"79831008cc85a07c871dd97bc015fa575cf1450dafb04efe62b4a7c03c728d21","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:04:56.685879Z","signature_b64":"v5U5YlvYJYNit5S4YcwfA7+H5CvLv4QLLM0jea+Zvk/43b6aIoQsxAGGMbw+SIEebgt+zgsBMbo3Mhz0Qo5jDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"79831008cc85a07c871dd97bc015fa575cf1450dafb04efe62b4a7c03c728d21","last_reissued_at":"2026-06-02T02:04:56.685527Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:04:56.685527Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.01784","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":"2026-06-02T02:04:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XYHRQsyLnEH/Mg5P51f5MdKj81RnsbX9SZMPnrdm2v6zxZ1QEWUNcO+0IBMtAvqLptL1l9tZ127Hyfh/4VwZDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T16:49:57.292502Z"},"content_sha256":"6f2541cbc7dbe97e77932a9fe7a74bf0a8ccefb1b1aff5aec01248c89fbeae6e","schema_version":"1.0","event_id":"sha256:6f2541cbc7dbe97e77932a9fe7a74bf0a8ccefb1b1aff5aec01248c89fbeae6e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:PGBRACGMQWQHZBY53F54AFP2K5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MoRE: A Mixture-of-Experts-Based Task-Adaptive End-to-End Network for Multimodal MRI Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Juncen Wu, Peng Hu, Wenlei Shang, Xin Bai, Yipin Deng, Yuyang Li, Zijian Zhou","submitted_at":"2026-06-01T07:04:12Z","abstract_excerpt":"Although accelerated MRI reconstruction has advanced rapidly through end-to-end learning, deploying a single unified network that generalizes across diverse anatomies and contrasts under constrained computational resources remains challenging. In this paper, we introduce MoRE, a sparsely activated mixture-of-experts (MoE) module integrated into an end-to-end variational network. MoRE couples a shared encoder with sample-wise, unsupervised routing to activate a minimal subset of expert decoders while strictly preserving physics-based data consistency. Evaluated on the fastMRI multi-coil brain a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01784","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/2606.01784/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":"2026-06-02T02:04:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Arxz1z5NtJbttq3HHymKzqhijWtLSkRsPH1yd/HT78sH0Sx59QiRKt3BigUrv3sUyb7TU3NZAAb5TlaL4HxuDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T16:49:57.292865Z"},"content_sha256":"1fa44dc9f9d494a482173c83283415a4e3fd78aa8d63e5877a6f34d5bb0697d2","schema_version":"1.0","event_id":"sha256:1fa44dc9f9d494a482173c83283415a4e3fd78aa8d63e5877a6f34d5bb0697d2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PGBRACGMQWQHZBY53F54AFP2K5/bundle.json","state_url":"https://pith.science/pith/PGBRACGMQWQHZBY53F54AFP2K5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PGBRACGMQWQHZBY53F54AFP2K5/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":"2026-06-28T16:49:57Z","links":{"resolver":"https://pith.science/pith/PGBRACGMQWQHZBY53F54AFP2K5","bundle":"https://pith.science/pith/PGBRACGMQWQHZBY53F54AFP2K5/bundle.json","state":"https://pith.science/pith/PGBRACGMQWQHZBY53F54AFP2K5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PGBRACGMQWQHZBY53F54AFP2K5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PGBRACGMQWQHZBY53F54AFP2K5","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":"9842252afaa551f1df8d07e72951c66e91d5684189e61cae2e1d51e0855bba4d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-06-01T07:04:12Z","title_canon_sha256":"0b977996c6442288c843c252c60283d811b8fbe71aa12bb608d28b01309e4885"},"schema_version":"1.0","source":{"id":"2606.01784","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01784","created_at":"2026-06-02T02:04:56Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01784v1","created_at":"2026-06-02T02:04:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01784","created_at":"2026-06-02T02:04:56Z"},{"alias_kind":"pith_short_12","alias_value":"PGBRACGMQWQH","created_at":"2026-06-02T02:04:56Z"},{"alias_kind":"pith_short_16","alias_value":"PGBRACGMQWQHZBY5","created_at":"2026-06-02T02:04:56Z"},{"alias_kind":"pith_short_8","alias_value":"PGBRACGM","created_at":"2026-06-02T02:04:56Z"}],"graph_snapshots":[{"event_id":"sha256:1fa44dc9f9d494a482173c83283415a4e3fd78aa8d63e5877a6f34d5bb0697d2","target":"graph","created_at":"2026-06-02T02:04:56Z","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/2606.01784/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although accelerated MRI reconstruction has advanced rapidly through end-to-end learning, deploying a single unified network that generalizes across diverse anatomies and contrasts under constrained computational resources remains challenging. In this paper, we introduce MoRE, a sparsely activated mixture-of-experts (MoE) module integrated into an end-to-end variational network. MoRE couples a shared encoder with sample-wise, unsupervised routing to activate a minimal subset of expert decoders while strictly preserving physics-based data consistency. Evaluated on the fastMRI multi-coil brain a","authors_text":"Juncen Wu, Peng Hu, Wenlei Shang, Xin Bai, Yipin Deng, Yuyang Li, Zijian Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-06-01T07:04:12Z","title":"MoRE: A Mixture-of-Experts-Based Task-Adaptive End-to-End Network for Multimodal MRI Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01784","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":"sha256:6f2541cbc7dbe97e77932a9fe7a74bf0a8ccefb1b1aff5aec01248c89fbeae6e","target":"record","created_at":"2026-06-02T02:04:56Z","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":"9842252afaa551f1df8d07e72951c66e91d5684189e61cae2e1d51e0855bba4d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-06-01T07:04:12Z","title_canon_sha256":"0b977996c6442288c843c252c60283d811b8fbe71aa12bb608d28b01309e4885"},"schema_version":"1.0","source":{"id":"2606.01784","kind":"arxiv","version":1}},"canonical_sha256":"79831008cc85a07c871dd97bc015fa575cf1450dafb04efe62b4a7c03c728d21","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"79831008cc85a07c871dd97bc015fa575cf1450dafb04efe62b4a7c03c728d21","first_computed_at":"2026-06-02T02:04:56.685527Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:04:56.685527Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v5U5YlvYJYNit5S4YcwfA7+H5CvLv4QLLM0jea+Zvk/43b6aIoQsxAGGMbw+SIEebgt+zgsBMbo3Mhz0Qo5jDw==","signature_status":"signed_v1","signed_at":"2026-06-02T02:04:56.685879Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.01784","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f2541cbc7dbe97e77932a9fe7a74bf0a8ccefb1b1aff5aec01248c89fbeae6e","sha256:1fa44dc9f9d494a482173c83283415a4e3fd78aa8d63e5877a6f34d5bb0697d2"],"state_sha256":"7c66597882cf0859fdfbe879e7c3ed00706152d429d415f14e8e55bc16cae810"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6Wrz8CHKrcLpKnzZFGw+yBS6ae9KIctNK+Bt9HF7qfk27SB4us7iuWqdqmaSIuoWqSzTG+M2SbloOnnJrdQvCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T16:49:57.294798Z","bundle_sha256":"f7d75e29d841a27e41ad1d6957af66e6fb80bdb730d054a3a51638d988b1f678"}}