{"as_of":"2026-08-08T14:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ff1a00ae9076af808dadb3f5a188b6398b807a07e0fb89355e3ebafc4561a400","coverage":[{"denominator":63,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":63,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:05:27.126542Z","state":"measured"},{"denominator":63,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":63,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.09100/citation-record","integrity":"/paper/2506.09100/integrity","json":"/paper/2506.09100/citation-record.json","paper":"/paper/2506.09100"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.747080Z","title":"Mapping astrogliosis in the individual human brain using multidimensional MRI,","venue":null,"work_id":"66c37315-119c-458f-8086-742c647972d1","year":2022},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.945231Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:674a2c8a9a211d06496e26816b9638feb4c3daef1bdb2640727d8127a410bc69","observation_id":"6c137d55-db97-4d30-87e7-f7ac225af5a6","resolution":{"observed_at":"2026-08-07T05:05:27.750293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.736734Z","title":"V oxel-based quantitative susceptibility mapping in Parkinson’s disease with mild cognitive impairment,","venue":null,"work_id":"c6e2d796-9087-4578-88b7-d11c6da32152","year":2019},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.949567Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:57fc08a7fc3e79be64ac51b6c4f4128cd802b979b1cca07759915e083732fab0","observation_id":"de9b8214-bcea-4317-9095-a5e139ddc204","resolution":{"observed_at":"2026-08-07T05:05:27.739680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.726961Z","title":"Multiparametric MRI: practical approach and pictorial review of a useful tool in the evaluation of brain tumours and tumour-like lesions,","venue":null,"work_id":"4222f30d-fb06-4ead-ba1c-c48b7acc5cf1","year":2020},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.953474Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:6ce971b3dfa26fa4932f16d65e4915445eac161c1ae4f53bb0d8945773a86b90","observation_id":"d4b1a840-3698-4090-a839-03afe3e06472","resolution":{"observed_at":"2026-08-07T05:05:27.729981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.718009Z","title":"MRI biomarkers in neuro-oncology,","venue":null,"work_id":"353ad688-f0c6-4083-a43d-4d8e828196e3","year":2021},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.956992Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:0f420b2063ac56e9eb1a0f00fb0cb6492e57219873316993e7210c7ba86446bd","observation_id":"8608dbe2-58ad-4c88-8d74-6ceda81fb059","resolution":{"observed_at":"2026-08-07T05:05:27.720496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.708773Z","title":"Simultaneous quantitative mri mapping of t1, t2* and magnetic susceptibility with multi-echo MP2RAGE,","venue":null,"work_id":"8c2a877f-7fd8-424a-837a-d81567c40930","year":2017},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.960331Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:9c0b4a24d67b9f6e290deda46e9c4dbd760d85a2c82858de29eadb7a15cb0e36","observation_id":"12d10ab6-ea57-4c34-9cc5-0260750a4de8","resolution":{"observed_at":"2026-08-07T05:05:27.711530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.699743Z","title":"Fast 3d magnetic resonance fingerprinting for a whole- brain coverage,","venue":null,"work_id":"2d73ba8b-c5f2-4f76-b064-c6feac54d4e5","year":2017},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.963474Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:c0a8946687458445f45ffe24f37bdfc6e1ca468835d66c9a158ca86852a353ef","observation_id":"cec1f860-b293-4973-a10a-7369ea49d1bc","resolution":{"observed_at":"2026-08-07T05:05:27.702674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.689526Z","title":"Magnetic resonance multitasking for motion-resolved quan- titative cardiovascular imaging,","venue":null,"work_id":"18186ab7-f5b2-46d5-904b-ae6fc13c203b","year":2018},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.966938Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:62e6ef6069114aa99841c12d70ee83d5891a719b2c8854863cd1be76b67dc01b","observation_id":"410e9992-8049-458a-847b-22b6564098fe","resolution":{"observed_at":"2026-08-07T05:05:27.692603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.680004Z","title":"Echo planar time-resolved imaging (EPTI),","venue":null,"work_id":"5c330d8a-80d1-4ab4-9bdd-056b25fc4294","year":2019},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.970362Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:c5a8e89f454d9c497d3c4b69745310c6ceb3b06cd42b9b943e01619264b37fae","observation_id":"75b990b6-0cb6-4c37-95da-2b0ab6bcaf6a","resolution":{"observed_at":"2026-08-07T05:05:27.682933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.671573Z","title":"Blip up-down acquisition for spin- and gradient-echo imaging with self-supervised denoising enables efficient t2, t2*, para- and dia-magnetic susceptibility mapping,","venue":null,"work_id":"8365fa06-b956-4da5-a91d-d27a07fd1d64","year":2022},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.973512Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:843fe1c9f7f8080c93c52ffb87762935c98c36c98c060370c2b819a6091c6bd1","observation_id":"0c8f0506-2931-4e07-8974-858b24dd92f0","resolution":{"observed_at":"2026-08-07T05:05:27.674608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.661701Z","title":"Extracting more for less: multi-echo MP2RAGE for simultaneous t1-weighted imaging, t1 mapping, r2* mapping, SWI, and QSM from a single acquisition,","venue":null,"work_id":"925fe357-8e16-46d8-bfbd-27637c2830bc","year":2019},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.976198Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:2f45954c88c26191641ef03a7c11d39cf7e7748d3b04c6b9bb8589ef77ea7198","observation_id":"84c98b24-100b-4629-8d12-66d6ce8a42ae","resolution":{"observed_at":"2026-08-07T05:05:27.665444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.653523Z","title":"Free-breathing multitasking multi-echo MRI for whole-liver water-specific t1, proton density fat fraction, and r2* quantification,","venue":null,"work_id":"b216d452-ba09-42bd-8953-c53471043392","year":2021},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.978921Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:ae2414b6ed517915161e202ab7e2d9708a7d48fb342007ef367704cf42664c39","observation_id":"eb869f3d-4087-450d-ad0e-2ec53c1fdf0c","resolution":{"observed_at":"2026-08-07T05:05:27.656342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.643480Z","title":"High-resolution myelin-water fraction and quantitative relaxation mapping using 3d ViSTa-MR fin- gerprinting,","venue":null,"work_id":"0ac1ab83-ddca-455a-b0d9-e90fabb0b29c","year":2023},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.981760Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:5788d782aaf3ca1ad96a6d39b384e84635a738f8a6cb519dd0669ee98506cb22","observation_id":"e57caa9d-9ddb-4121-95a2-e03bf9351eb8","resolution":{"observed_at":"2026-08-07T05:05:27.647192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.634520Z","title":null,"venue":null,"work_id":"03020ae6-503a-44aa-950e-1f2fef93e342","year":2018},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.984730Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:0ffbdc6657fc7154ee475e360a43eb89a031619f179c87cbdfa6bf90e263e8b3","observation_id":"be49b4ee-7fcb-4f25-867a-8be546b3ae56","resolution":{"observed_at":"2026-08-07T05:05:27.637707Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.624639Z","title":"Three-dimensional simultaneous brain mapping of t1, t2, and magnetic susceptibility with MR multitasking,","venue":null,"work_id":"89f50d6d-747e-4acc-9ac7-f52700d4daef","year":2021},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.987319Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:e15d9824e7b303c40ac26af255c08f790548072f4de4e31272a2971f40156b79","observation_id":"6ff9ecc0-93ad-422a-802a-28541b6e9a1d","resolution":{"observed_at":"2026-08-07T05:05:27.627923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.616121Z","title":"Magnetic resonance fingerprinting,","venue":null,"work_id":"c45129f0-544b-4b58-bc4c-e64b6f2f0d08","year":2013},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.989840Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:e412ab278a11850103933382480669432fe7857b1a55ff9a584d895dfcb423d3","observation_id":"35111bb5-3180-4495-854e-3b38316ca289","resolution":{"observed_at":"2026-08-07T05:05:27.619358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.605693Z","title":"Magnetic resonance fingerprinting: a technical review,","venue":null,"work_id":"e0fdd73d-96ca-4c65-b55e-4abf1b27c8b9","year":2018},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.992377Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:52febaca79bd6cee41a408c4ace07a17b3507d90b6a1c5a673b0de719a74fd39","observation_id":"38870dd8-8776-4414-b815-bbc5067fe5f6","resolution":{"observed_at":"2026-08-07T05:05:27.609063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.595610Z","title":"Accelerating parameter mapping with a locally low rank constraint,","venue":null,"work_id":"1edd531d-618f-41c7-9a82-9cc6e246b19a","year":2014},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.995659Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:0c613474546702e31be68226750ea0f891b357212d1954e46199ef822bd6340b","observation_id":"1e548253-58f5-480d-8c19-9da123936e3d","resolution":{"observed_at":"2026-08-07T05:05:27.598941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.585302Z","title":"Accelerated high-dimensional MR imaging with sparse sampling using low-rank tensors,","venue":null,"work_id":"7260ca47-130e-4a94-8073-5e0300a3f6f1","year":2016},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:26.999231Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:a6ef56208059fa63422638ad3739c84729aba2fefff93a33607752af1a7cc4c3","observation_id":"681bf9a0-fc30-4e8b-b151-280de00f5b93","resolution":{"observed_at":"2026-08-07T05:05:27.588758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.573737Z","title":"Optimized multi-axis spiral projection MR fingerprinting with subspace reconstruction for rapid whole-brain high-isotropic-resolution quantita- tive imaging,","venue":null,"work_id":"0a874c7d-ca1f-4da6-8b79-004d12154e8b","year":2022},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.001813Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:f4864dbdea73d138138be9a2d541a692a42612a58a5c6fdaa87482d6b32180f6","observation_id":"04c37268-1009-41c7-aa92-8221f34e9668","resolution":{"observed_at":"2026-08-07T05:05:27.577993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.564925Z","title":"Accelerating magnetic resonance imaging via deep learning,","venue":null,"work_id":"cfcf6a5e-6558-4b53-9ab6-1f7df2c585ea","year":2016},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.004606Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:ca97dbfba19a728c2bfe2ec69bce8b4cbc72580e4bddb35d2a6f96ea96bc4563","observation_id":"52674ddf-fe42-4f44-aed7-4ccb4c678b47","resolution":{"observed_at":"2026-08-07T05:05:27.567757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.556443Z","title":"DIMENSION: Dynamic mr imaging with both k-space and spatial prior knowledge obtained via multi-supervised network training,","venue":null,"work_id":"52f2ddd4-3b15-4c3f-bfcc-059a4e382cf2","year":2019},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.008563Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:1dc86acbb2b04718f2c55ef19caeceb01b21a3409b04cf0b787e16eeab4efa17","observation_id":"6148e615-f300-46f6-bb38-d14b12f9d1d1","resolution":{"observed_at":"2026-08-07T05:05:27.559697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.547094Z","title":"Deep magnetic resonance image reconstruction: Inverse problems meet neural networks,","venue":null,"work_id":"a598a984-331b-4a49-8901-d8289c31bd61","year":2020},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.011061Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:b234c0865baded8b3b5f29691724b5f4e391b2d36d285480c8c69d91dca8f512","observation_id":"ee1aa9d5-1c4f-427f-a123-aee5ddd9a6c0","resolution":{"observed_at":"2026-08-07T05:05:27.550172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.536575Z","title":"High-frequency space diffusion model for accelerated MRI,","venue":null,"work_id":"f6f8260d-c03b-4669-b021-18fa4798f09e","year":2024},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.013961Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:79c4d3c502418f27a69803c1e785a6f12d1ce41afdd63345e12fc6d0afe0f2a5","observation_id":"b78120c2-663a-45c0-9a60-aabd5f253ba1","resolution":{"observed_at":"2026-08-07T05:05:27.540003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.526199Z","title":"Machine learning for rapid magnetic resonance fingerprinting tissue property quantification,","venue":null,"work_id":"ded046f3-b0e1-49e9-aaa8-9d229fd7c63e","year":2020},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.016643Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:580707ad236401af5dc9afe39d473a533d4bee16ad0e001e212b598d0b99bfc6","observation_id":"35e6de25-c1e3-4610-8eb0-9f7242be7405","resolution":{"observed_at":"2026-08-07T05:05:27.529846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.516278Z","title":"Ac- celerating quantitative susceptibility and r2* mapping using incoherent undersampling and deep neural network reconstruction,","venue":null,"work_id":"415a1f72-e935-4f77-8bd9-08b932d2b83f","year":2021},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.019207Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:3c0e2a15679627cb89da1e2721be7b96c56847cc5f0940bc039d0ca66f7a5d3a","observation_id":"df87a9df-ce7b-46fb-b791-77b8ec19ad20","resolution":{"observed_at":"2026-08-07T05:05:27.519212Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.506209Z","title":"High-resolution 3d magnetic resonance fingerprinting with a graph convolutional network,","venue":null,"work_id":"b25d54a6-13f0-49ba-91e8-5aa191951073","year":2023},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.021585Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:d196f82d251952f11127088ca85bce667aab56febe8bc582fd01213d6bfec0e1","observation_id":"766448de-3e04-4e4c-85de-928d50b3928b","resolution":{"observed_at":"2026-08-07T05:05:27.509595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.496961Z","title":"SuperMAP: Deep ultrafast mr relax- ometry with joint spatiotemporal undersampling,","venue":null,"work_id":"83a01e59-eb3f-4e3b-b664-92435238f618","year":2022},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.024899Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:3e75febd9b806772622e53d8dd8f50f2bbd97588e99e08066e627fc7a4c4a644","observation_id":"d30e99b6-238e-46f0-95cf-b12a50939f4c","resolution":{"observed_at":"2026-08-07T05:05:27.499833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.487973Z","title":"PINQI: An end-to-end physics-informed approach to learned quantitative mri reconstruction,","venue":null,"work_id":"6905646a-d767-48e0-b92e-e335a1e51d75","year":2024},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.028370Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:d00507bf834dbd28233ee699cc1c35302cd176015fd05ee8a81175cef2b3e7d4","observation_id":"b396e135-c0e7-4674-be27-6d01e8162fdc","resolution":{"observed_at":"2026-08-07T05:05:27.490922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.478833Z","title":"Acceleration of simulta- neous multislice magnetic resonance fingerprinting with spatiotemporal convolutional neural network,","venue":null,"work_id":"231d2ae0-54f3-48fa-989f-8b048857d59d","year":2024},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.031267Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:db0a0767ed4d532b12a5259001477ad014221dc319d8cc979704d74e142e4570","observation_id":"3f9d1caf-0ba4-4a2c-9c13-bf32727650ba","resolution":{"observed_at":"2026-08-07T05:05:27.481645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.470184Z","title":"Joint-MAPLE: Accelerated joint t1 and t2* mapping with scan-specific self-supervised networks,","venue":null,"work_id":"035948aa-12fa-45ab-8955-bf8cf463da1c","year":2024},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.034248Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:16332214cc07983f5e374e77abc9fd0e200299b8ff6c116a169409571181901a","observation_id":"451601bb-664f-4887-8b16-d71a03af856e","resolution":{"observed_at":"2026-08-07T05:05:27.473367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.461089Z","title":"Zero-DeepSub: Zero-shot deep subspace reconstruction for rapid multiparametric quantitative mri using 3d-QALAS,","venue":null,"work_id":"0213d08b-1f97-497d-afb5-99b007f11995","year":2024},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.036813Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:01cdb520fcd3e743764f58d4bf6e35cb87805a179d0f5c240f95847b97df84eb","observation_id":"6fadcf75-85ce-4e2b-94d5-5731138cfe6f","resolution":{"observed_at":"2026-08-07T05:05:27.464458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.09661","last_updated":"2020-06-17T05:13:33Z","snapshot_observed_at":"2026-08-07T00:02:53.830267Z","submitted_at":"2020-06-17T05:13:33Z","title":"Implicit Neural Representations with Periodic Activation Functions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.09661","snapshot_observed_at":"2026-08-07T05:05:27.039316Z","title":"Implicit neural representations with periodic activation functions,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.039316Z"},"links":{"cited_paper":"/paper/2006.09661","citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:cf101c7495f2e021eeb2044f9d190434aeae374612052ba25532ff598db28b76","observation_id":"71d5639f-1f68-4d8f-aac4-8a55c2e9d15b","resolution":{"observed_at":"2026-08-07T05:05:27.039316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.10739","last_updated":"2020-06-18T17:59:11Z","snapshot_observed_at":"2026-07-06T09:30:32.320227Z","submitted_at":"2020-06-18T17:59:11Z","title":"Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.10739","snapshot_observed_at":"2026-08-07T05:05:27.042285Z","title":"Fourier features let networks learn high frequency functions in low dimensional domains,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.042285Z"},"links":{"cited_paper":"/paper/2006.10739","citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:fb145edb0df46d2918cc0e397c14265920c23f6f5dbccb02670e3b2ca3d1652c","observation_id":"50cc908e-a05e-494e-8d14-8c3db0d3697d","resolution":{"observed_at":"2026-08-07T05:05:27.042285Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.450902Z","title":"Recovery of continuous 3d refractive index maps from discrete intensity-only measurements using neural fields,","venue":null,"work_id":"c90a6ff7-7d08-4413-a39d-c5123cb20eb8","year":2022},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.045314Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:68b191e918b2c161c7f1bd3dcc41b1f36d6cfef76ffabd8e78a2861124c99069","observation_id":"0363e11d-fa94-48aa-a535-b78a9c9f42f8","resolution":{"observed_at":"2026-08-07T05:05:27.454482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.441570Z","title":"NeRP: Implicit neural representation learning with prior embedding for sparsely sampled image reconstruc- tion,","venue":null,"work_id":"6849ef69-7529-445e-a172-eb92a5c7de9a","year":2024},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.048541Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:d2e2f1c24910b58f97f423d43857663b39809e4d572a1d3ed640289ebdaaa65f","observation_id":"306f9a91-6cdc-4faf-bc05-a751ffd99024","resolution":{"observed_at":"2026-08-07T05:05:27.444772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.432214Z","title":"IMJENSE: Scan-specific implicit representation for joint coil sensitivity and image estimation in parallel MRI,","venue":null,"work_id":"4afeeb22-a1e0-4535-b0f9-a65137aa837b","year":2024},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.051177Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:3e546b40c830f829808c950129ac2315fb907a77813e42a40c9e225516d4aedd","observation_id":"62e9cba6-c7c1-4371-be19-3b15ed907a87","resolution":{"observed_at":"2026-08-07T05:05:27.435085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.421609Z","title":"Self-supervised coordinate projection network for sparse-view computed tomography,","venue":null,"work_id":"5cf728cf-6977-4cd5-afd0-5faabf415c53","year":2023},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.054450Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:1e7d822435ab383063304a674185655450a0f965e48bd3f5f4df634b0886083a","observation_id":"c6bb0997-3f33-48d6-b05d-2b1065ab4a6a","resolution":{"observed_at":"2026-08-07T05:05:27.425001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.412098Z","title":"CuNeRF: Cube-based neural radiance field for zero-shot medical image arbitrary-scale super resolution,","venue":null,"work_id":"546c2d50-f3ba-4aa7-9231-8f75b8d0013d","year":2023},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.057726Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:99a0adb9601e2d27a497a63c1e67a1a130fc0d60647da346ffd67f899724562a","observation_id":"5cfc00b7-1df9-42d3-9371-08374366e763","resolution":{"observed_at":"2026-08-07T05:05:27.415718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.12742","last_updated":"2024-12-17T10:06:37Z","snapshot_observed_at":"2026-07-06T20:08:25.509132Z","submitted_at":"2024-12-17T10:06:37Z","title":"Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.12742","snapshot_observed_at":"2026-08-07T05:05:27.060175Z","title":"Subspace implicit neural representations for real-time cardiac cine MR imaging,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.060175Z"},"links":{"cited_paper":"/paper/2412.12742","citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:13e4ffa093b454ebaf7079c2286ade1ea8399abf48ad26a027a4a77bd34109c1","observation_id":"382b533d-ebe0-4967-b587-e0b20a2f08a2","resolution":{"observed_at":"2026-08-07T05:05:27.060175Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.402083Z","title":"Coordinate-based neural representation enabling zero-shot learning for fast 3d multiparametric quantitative mri,","venue":null,"work_id":"585d45df-29af-4350-93cf-addb4e193642","year":2025},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.063275Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:3171d0e327f5828b083072aff2cc8c7452decfc0d0b83ce08fcd41117d6efa18","observation_id":"2de10daf-d7a7-4979-b592-76bc25a27f34","resolution":{"observed_at":"2026-08-07T05:05:27.405807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.392956Z","title":"Dynamic programming,","venue":null,"work_id":"3b6434e1-90cf-4a2e-aee8-d86592d74e54","year":1966},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.065834Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:0115e31f9d29f01b68e35398a4d71a75337076bce6e248789f135228ab34ec18","observation_id":"7b0dc38b-9f4f-4cc7-96ec-b95029d536e6","resolution":{"observed_at":"2026-08-07T05:05:27.396442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.384390Z","title":"Tackling the curse of dimensionality with physics-informed neural networks,","venue":null,"work_id":"f23ce6d0-116a-42f1-83a9-a77eb95a26f9","year":2024},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.068235Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:4970229b083d356e2d3c6c8902c320a694656cb94bc1bcb672877fe2103d1df9","observation_id":"4e062de9-ee8a-4c6b-922a-d507ef673131","resolution":{"observed_at":"2026-08-07T05:05:27.387247Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.374383Z","title":"Accel- erated MR parameter mapping with low-rank and sparsity constraints,","venue":null,"work_id":"046b442f-ab4f-4d64-a133-450093eaf51f","year":2014},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.070683Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:c5bff6fadada298f179f974a10ecf6be30024ed65341be824b2bde2f72d960a9","observation_id":"422a705b-87a4-4157-b698-a059c3a46fc3","resolution":{"observed_at":"2026-08-07T05:05:27.377806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.363806Z","title":"Tensor decompositions and applications,","venue":null,"work_id":"418fde1b-e1b9-44fb-b236-aac625574c3f","year":2009},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.073156Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:4893f879cdd1abc9faf755b63d3cd73cff73b9554d29c2947552d9db3158b01f","observation_id":"96a2378b-a2e5-4cb4-86ca-7eb192341221","resolution":{"observed_at":"2026-08-07T05:05:27.367347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.354204Z","title":"Robust recovery of subspace structures by low-rank representation,","venue":null,"work_id":"d0979584-6525-4c50-b4f0-3484138606b4","year":2013},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.075783Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:615dc8aeb03694ff193d59c91786246e7d2a37ebded3ca977e98b69379e939b5","observation_id":"987927ed-d47d-4294-848a-8ad497304ed0","resolution":{"observed_at":"2026-08-07T05:05:27.357753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.344317Z","title":"Low-rank tensor models for improved multidimensional MRI: Application to dynamic cardiac t1 mapping,","venue":null,"work_id":"b2e9d85a-0e63-497d-ad4e-efab2d114617","year":2020},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.078270Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:38070e6fa8fd889aad980ef68f83f1c73c205bb7c68d77a041656c26d052acd6","observation_id":"88ef47ae-0502-4e5d-b220-4e2075652f88","resolution":{"observed_at":"2026-08-07T05:05:27.347896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.335703Z","title":"Spatial-spectral structured sparse low-rank representation for hyper- spectral image super-resolution,","venue":null,"work_id":"1702338c-8663-474a-9605-0307d6050152","year":2021},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.080793Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:6937550e2d804e00a87558ffd5d0b636925dc10440b978a9d1177e593b84db89","observation_id":"961ab809-04d3-4190-8d0a-ad3e1fb65c9e","resolution":{"observed_at":"2026-08-07T05:05:27.338488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.326805Z","title":"NeRF: representing scenes as neural radiance fields for view synthesis,","venue":null,"work_id":"4cd2eb36-bcb2-46e4-ae17-971a7df9d6f5","year":2021},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.083247Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:6c57dfdc050197e139b6c337a505b06e5964bd38dcb4c00a16109970d6d5e030","observation_id":"a9ae508c-e9a9-4722-8f62-e82e36c195c7","resolution":{"observed_at":"2026-08-07T05:05:27.329656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.316601Z","title":"NeRF-SLAM: Real-time dense monocular SLAM with neural radiance fields,","venue":null,"work_id":"56328290-5b18-40f6-b7c8-9ca5f7b7f25e","year":2023},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.085810Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:c93cd32962a9642d4caa8f2e8682840335d32f490b1b0b07afcaa2f7c7f55e05","observation_id":"138bec82-71e1-4cc0-94c1-00c36e65cbce","resolution":{"observed_at":"2026-08-07T05:05:27.319448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.307018Z","title":"COLLATOR: Consistent spatial-temporal longitudinal atlas construction via implicit neural representation,","venue":null,"work_id":"80114a50-2ab7-4df9-af23-0d68b7282741","year":2025},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.088471Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:fac354b485b9064d285f61ebddaf5056760a537d6f12a6d2b289566c39e2c907","observation_id":"1c8db45e-9a4f-48a9-bcd6-17a596f3836e","resolution":{"observed_at":"2026-08-07T05:05:27.310326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.298455Z","title":"Spatiotemporal implicit neural representation for unsupervised dynamic mri reconstruction,","venue":null,"work_id":"e5f1ac82-f0ba-4ae1-894a-5c42f7717445","year":2025},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.091076Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:6f2dbc7103ad30c2f233f91455ef363ff0e56e33bd685b0c2106390035f0bd74","observation_id":"6cd1e3a3-83cd-46a3-b885-17bff55c90ee","resolution":{"observed_at":"2026-08-07T05:05:27.301399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.289320Z","title":"A subject-specific unsupervised deep learning method for quantitative susceptibility mapping using implicit neural representation,","venue":null,"work_id":"837cba8e-6a76-4288-bd1c-883b75570f6d","year":2024},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.093926Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:387b94d542062d6797ef2b7f2748a54c5685cc4f58463db43b1b4140155fc04e","observation_id":"b6ef1919-0d03-487b-8581-e648005ec116","resolution":{"observed_at":"2026-08-07T05:05:27.292461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.279584Z","title":"Highly accelerated mri via implicit neural representation guided pos- terior sampling of diffusion models,","venue":null,"work_id":"8f5fe0bd-b317-423c-81a1-136352b4cd78","year":2025},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.097498Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:437ae9cf525ff4bd07b0435f2ff4b00a9050f23ae037c8ab2e430b9ec78c58d7","observation_id":"5f4b64cc-a955-4bbb-8a0e-5085a1fd85c5","resolution":{"observed_at":"2026-08-07T05:05:27.282800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.270920Z","title":"Unsupervised reconstruction of accelerated cardiac cine MRI using neural fields,","venue":null,"work_id":"a4952f7a-3d6c-41e5-8ca0-ca668059897f","year":2025},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.100384Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:6fc2e05cb2f101736a8cb2adbe3fdff1d182e46487feab4bc1818a08fbdfc5f0","observation_id":"201a61f6-e76b-4cff-b213-b71322029664","resolution":{"observed_at":"2026-08-07T05:05:27.273862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.262589Z","title":"ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA,","venue":null,"work_id":"fe006854-7df0-44a2-98e8-87453ac0c147","year":2013},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.103049Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:4dd33edfda01a3413c53d851c348304529ad1f68acb219586041791b728fe048","observation_id":"7903a88e-5102-4e8a-83cf-400858b48984","resolution":{"observed_at":"2026-08-07T05:05:27.265353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.251722Z","title":"Variable flip angle echo planar time-resolved imaging (vFA-EPTI) for fast high-resolution gradient echo myelin water imaging,","venue":null,"work_id":"9989bd90-eb0f-4e1e-920a-0be47c76e1cc","year":2021},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.106461Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:cffd888b39a81ee3088da809381820f8271ad83150e1d5f7723d8d5402ad9e1f","observation_id":"fba049f5-f9ce-494b-b1f4-81dc9b71eae7","resolution":{"observed_at":"2026-08-07T05:05:27.255444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.241076Z","title":"Instant neural graphics primitives with a multiresolution hash encoding,","venue":null,"work_id":"af45879f-4d48-4084-9abc-878f2e863620","year":2022},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.109769Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:4b2c950e7c54a63e76dd5dec31bacbc07c47b0f632ad5c0860e054a9aea02233","observation_id":"1f923699-3ced-45dc-872a-0677ef0d8dbe","resolution":{"observed_at":"2026-08-07T05:05:27.244351Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.231765Z","title":"Sensitivity of low-rank matrix recovery,","venue":null,"work_id":"49ff5a3c-7009-4d4e-8300-667f3c199668","year":2022},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.112131Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:8fbdc42fb8c41da11cf53c720bbe697a97139404bb399a673437bafe962e7b74","observation_id":"1b0de778-102e-41d8-9594-ff786eef2aeb","resolution":{"observed_at":"2026-08-07T05:05:27.234958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.221346Z","title":"Weighted nuclear norm minimization with application to image denoising,","venue":null,"work_id":"f1cc3c7a-9d84-4d19-9264-a8d5913b25e4","year":2014},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.115286Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:c2b23a677e23b4d65e5e022eca42216746b0047b424c774cda50516446ab8156","observation_id":"111f8bfa-a4c2-4d21-868b-efec3b7fc137","resolution":{"observed_at":"2026-08-07T05:05:27.225287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.05668","last_updated":"2018-02-15T17:18:49Z","snapshot_observed_at":"2026-07-06T06:23:42.900306Z","submitted_at":"2018-02-15T17:18:49Z","title":"Model compression via distillation and quantization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.05668","snapshot_observed_at":"2026-08-07T05:05:27.117793Z","title":"Model compression via distillation and quantization,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.117793Z"},"links":{"cited_paper":"/paper/1802.05668","citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:1f558da7318ca4eda273950538c2c1b1e340a8662c15771ba0b43233592a9aba","observation_id":"864da28f-82f4-4c70-ab77-2cc28816be37","resolution":{"observed_at":"2026-08-07T05:05:27.117793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.211778Z","title":"Tinyvit: Fast pretraining distillation for small vision transformers,","venue":null,"work_id":"a22ac0fc-0510-4d0d-a68c-e5cbe45a7a6e","year":2022},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.120623Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:acbbfdc1d7d898dce399f0c273a5b32a4d5e48f89a1847c9f9b7ecb5326cc5c8","observation_id":"3b259169-25c4-4a24-8fb6-980df6587704","resolution":{"observed_at":"2026-08-07T05:05:27.215338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:05:27.201469Z","title":"Learned initializations for optimizing coordinate- based neural representations,","venue":null,"work_id":"d73343af-e3c8-4bc9-ab38-95ec9ff9ba21","year":2021},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.123524Z"},"links":{"citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:1ed87bdbefae775751281a09611fdc88d8043c541e4dace323d86fba37aa2488","observation_id":"6da579c2-7e19-4b7f-bf66-208b5313a4ed","resolution":{"observed_at":"2026-08-07T05:05:27.205121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14678","last_updated":"2021-11-07T17:51:32Z","snapshot_observed_at":"2026-07-06T12:02:46.237292Z","submitted_at":"2021-10-27T18:02:53Z","title":"Meta-Learning Sparse Implicit Neural Representations","version":2},"cited_work":{"arxiv_id":"2110.14678","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.14678","snapshot_observed_at":"2026-08-07T05:05:27.151172Z","title":"Meta-Learning Sparse Implicit Neural Representations","venue":"cs.LG","work_id":"90a445fb-94f8-4907-b52e-26ca45f6dadc","year":2021},"citing_paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T05:05:27.126542Z"},"links":{"cited_paper":"/paper/2110.14678","citing_paper":"/paper/2506.09100"},"observation_digest":"sha256:cd62952b87ea8702ddb8750f72bbb6f927b96d68a7d723b324836ebc6e7c6a63","observation_id":"6a657ed2-aaad-409c-a807-2e60b51ade4c","resolution":{"observed_at":"2026-08-07T05:05:27.156823Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.09100","last_updated":"2025-06-10T15:02:09Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-07T04:57:23.235442Z","submitted_at":"2025-06-10T15:02:09Z","title":"Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction"},"reference_resolution":{"displayed":63,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":57},"total_outbound_references":63},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2506.09100."}