{"as_of":"2026-08-10T22:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aa0d8d0db073b544c3c0d2e0e8bb1f5bcd434f1aa88d982f3b0ef6e46a0c2983","coverage":[{"denominator":75,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":75,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T16:49:41.953358Z","state":"measured"},{"denominator":75,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":75,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2502.01057/citation-record","integrity":"/paper/2502.01057/integrity","json":"/paper/2502.01057/citation-record.json","paper":"/paper/2502.01057"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T16:49:43.291746Z","title":"Quantitative magnetic resonance imaging of brain development in premature and mature newborns","venue":null,"work_id":"b5800008-1b5a-4264-a3a5-0167aa00b792","year":1998},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.574086Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:0b18dc6584ade37926d9eda77fa615f443bfe0064daeb05c63acfedec66adc6e","observation_id":"c2a6778a-1225-44b6-bd47-91f9099ace76","resolution":{"observed_at":"2026-08-09T16:49:43.296795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:43.275363Z","title":"As- sessment of cortical gyrus and sulcus formation using mr images in normal fetuses","venue":null,"work_id":"e57fab76-7c93-44a4-8df9-8e4770886686","year":2003},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.579827Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:73adf0579d4203c979e9bb657b11870c48406d233121da8fd916161274e96709","observation_id":"a583f9fb-1287-4d26-a13e-1110842f764a","resolution":{"observed_at":"2026-08-09T16:49:43.280766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:43.259457Z","title":"Brugger, Gerda Ricken, Gerlinde M","venue":null,"work_id":"8a1ece3e-99c2-471d-bfe2-8f6e7e6e322a","year":2015},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.584660Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:3513c5bd406aa4e405c368526088982ca3307bd764bc55f5b567c8b164acf643","observation_id":"aaeeae20-e764-494c-bebf-7034af15e829","resolution":{"observed_at":"2026-08-09T16:49:43.264425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:43.242827Z","title":"Tract-specific group analysis in fetal cohorts using in utero diffusion tensor imaging","venue":null,"work_id":"4e9995c4-33a0-47fc-9be4-b507238c52b9","year":2018},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.589484Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:91840a7294bd36cf8713f248deb5c71460e15fc754bd2ee91a29e4294148a37f","observation_id":"bdc0de35-6eee-470c-9b81-84b92c2c37fc","resolution":{"observed_at":"2026-08-09T16:49:43.248631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:43.226390Z","title":"Prohl, B","venue":null,"work_id":"0bc3b17a-ae7b-4fe5-8d54-99644cd9c9f7","year":2019},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.595729Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:d9b1e9fe7da20b71bb23fd7aa980f473a1c815d8e3b00fa39d47a284e70946af","observation_id":"fec4e824-e76f-4369-9d4b-809cafdc4414","resolution":{"observed_at":"2026-08-09T16:49:43.231187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:43.207795Z","title":"Wilson, M","venue":null,"work_id":"4627b809-8f4b-418d-ba83-4061a9ff1f97","year":2021},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.600706Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:bf74f5d85557e254157fae2f6e92be51c4e9666e04c274e45eba237138c8da93","observation_id":"60ef9e35-b6c1-49bd-a264-44c7fe0951fa","resolution":{"observed_at":"2026-08-09T16:49:43.213131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:43.189318Z","title":"Ashburner and K.J","venue":null,"work_id":"3a2a0294-5894-4dfa-bf20-7a191977658a","year":2000},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.606252Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:1754a4808a82ae96da3d7868b40d18f995f3f8c73d42588f09c5f5d4da493147","observation_id":"9c63dda0-f119-46f4-b22e-4a7427b0076f","resolution":{"observed_at":"2026-08-09T16:49:43.195046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:43.171299Z","title":"Smith, M","venue":null,"work_id":"e165e1f0-6f93-47a0-a727-59b98d3eea71","year":2006},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.610911Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:bb77a083fec2a3d58a81fd032779ace9be5df85d8340de28f81d54529210a29c","observation_id":"e275f333-ed44-4fcf-ba81-1b708bbbfae8","resolution":{"observed_at":"2026-08-09T16:49:43.176931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:43.155045Z","title":"Smith, M","venue":null,"work_id":"92586a3d-66ef-4333-b55b-603ee594abd1","year":2004},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.615490Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:cdd7f313087923129eb8862608a1d85625b15e852114380d00466befe1cc887d","observation_id":"dbe4d2a1-70dc-4dd7-8a1d-a4377462068d","resolution":{"observed_at":"2026-08-09T16:49:43.161196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:43.134339Z","title":"Jones, M.R","venue":null,"work_id":"bbed8774-401b-4a6d-bd2d-ab9830dd16b5","year":2005},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.620244Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:9b8159d4b9e37c6504571371dc2b96caf8d9c87e092e7194dd071af8ce85b76d","observation_id":"fbdd44a0-a59b-427f-b1cc-8f09277a6938","resolution":{"observed_at":"2026-08-09T16:49:43.140828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:43.115239Z","title":"Smith, G","venue":null,"work_id":"0b955d1d-2e09-462c-9b44-d43024b0049a","year":2014},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.624764Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:ca3d89dd7ecb4b21e96017be4fc95b547eaefaf903af26585a10ecb8d2a1952b","observation_id":"b3baf93b-b535-4368-afe8-d971596d77fb","resolution":{"observed_at":"2026-08-09T16:49:43.121196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:43.094423Z","title":null,"venue":null,"work_id":"4512c7d5-6553-4aba-b874-866e218b8fc0","year":2011},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.629626Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:b0fc5af062603a0005a6c8ef658b01f01f3aa8e2c6fc7ea33eebe8201984e69a","observation_id":"b9bc4820-8af7-4b11-a7a8-799c38e445fc","resolution":{"observed_at":"2026-08-09T16:49:43.103491Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:43.078524Z","title":"Bach, F.B","venue":null,"work_id":"8408fc66-a09c-4209-a7a6-5231fb2f711f","year":2014},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.634370Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:de6264eb29516707c7df9855fcd183d5ef95a6bc45f7a7c8cbba66a08a8498bf","observation_id":"8973b768-e852-4b0d-8d4f-8a8d0a6faaf2","resolution":{"observed_at":"2026-08-09T16:49:43.083432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:43.063324Z","title":null,"venue":null,"work_id":"5afe3381-edf0-49a5-9b81-884e4d5880e9","year":2005},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.639021Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:eda876072b9fdf37acfccdb51e0634a92303516067aeea4fce174487ddb75e27","observation_id":"553a0d40-35b6-4004-9266-79c425b42d20","resolution":{"observed_at":"2026-08-09T16:49:43.068222Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:43.047161Z","title":"Corouge, P.T","venue":null,"work_id":"e5173b82-712a-43a2-b896-333396bf3066","year":2006},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.643897Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:888bcd2261597d9271a579bef56622b80084c53882f697157b18f8279f8a98f1","observation_id":"e07b8263-8c6b-4834-9fe6-538034dc4499","resolution":{"observed_at":"2026-08-09T16:49:43.052195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:43.031587Z","title":"O’Donnell, C.F","venue":null,"work_id":"15d760f2-9149-4c22-aae5-52daa487ef59","year":2009},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.649578Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:622b0a641f6e8f556100aee4a781c38a56e99ca191aefd1419005e54a5d011ae","observation_id":"e887699c-0fb5-468a-91ee-0cb484099eeb","resolution":{"observed_at":"2026-08-09T16:49:43.036339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:43.014311Z","title":"Yushkevich, H","venue":null,"work_id":"80fd338b-cd0a-4da2-b926-a8f4e3982e6b","year":2009},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.654977Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:868d4d42c7f60afd9733e79d9e636c2db3ea9e1d836818925f47e5d20c45270d","observation_id":"43a457b0-132b-46f2-98c6-e0ce923d14ec","resolution":{"observed_at":"2026-08-09T16:49:43.020299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.998093Z","title":"Pecheva, P","venue":null,"work_id":"aedaff64-a91a-4e8a-9f44-85914d907f28","year":2017},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.660059Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:05620642863b0c864523dfb2fe4ddd718b8d5190e864fdb93928ddfea30898e9","observation_id":"8093cac0-3659-4cf2-be3b-a2dccaf8f165","resolution":{"observed_at":"2026-08-09T16:49:43.002966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.983018Z","title":"Nonrigid registration of 3D tensor medical data","venue":null,"work_id":"50cc5170-5474-41ff-9aa0-88cc10e70b98","year":2002},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.664818Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:3c8d4e0fe7268f0a413b9bac6d1db77395b7d6b324345e2c7e5a491a75de698f","observation_id":"2452670f-1bb7-45a4-82a1-9e680aadfd60","resolution":{"observed_at":"2026-08-09T16:49:42.987977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.966377Z","title":"Ball, S.J","venue":null,"work_id":"2d732044-d663-4b96-8409-dbdd7c286cfe","year":2010},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.669760Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:c0c55c5a10959780b441c74a8198e40427e88d72a2f84b82bd1bf305de8a0988","observation_id":"0187e331-05a3-442a-a7ac-92e713687351","resolution":{"observed_at":"2026-08-09T16:49:42.973011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.950152Z","title":"de Groot, M.W","venue":null,"work_id":"98c9577d-cada-47f8-bc1c-0d02bd568c9c","year":2013},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.674787Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:52fd130f608c83ed22d0ac4e6efa5432b73c69c0cd690b857b0452da9428226d","observation_id":"3b1a9a36-b33f-4d3d-ac9f-b961c0fae364","resolution":{"observed_at":"2026-08-09T16:49:42.955366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.932330Z","title":"Schwarz, R.I","venue":null,"work_id":"2dc181f0-3609-4345-9230-67841db11f12","year":2014},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.679450Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:05aa2b5f9b7f44399c4592343dc6d072ec3e47b6ada305fc170afc2806b6892e","observation_id":"c2cf2e2a-f50d-4d3f-a659-7d88bc78026e","resolution":{"observed_at":"2026-08-09T16:49:42.938342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.915102Z","title":"Diffusion tensor image regis- tration using hybrid connectivity and tensor features","venue":null,"work_id":"a873024f-18fc-40e4-a099-463addb14285","year":2014},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.684220Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:8a1a0c07acaa704e61ffeb2246a56be59e6fb5df1bb00da09b492fe3d025e98e","observation_id":"2b615dde-beb0-4117-a20b-ef094c943a59","resolution":{"observed_at":"2026-08-09T16:49:42.921452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.893341Z","title":null,"venue":null,"work_id":"457e7943-9cec-4447-9da5-b26c84240959","year":2021},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.688767Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:73379f021bb54207980629254e2114a3a8cfc722b36a9989e2d1f8a155c31d1c","observation_id":"dce5083e-4bc0-463d-989c-afe07096f4f4","resolution":{"observed_at":"2026-08-09T16:49:42.898820Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.877508Z","title":"Elastic matching of diffusion tensor images","venue":null,"work_id":"30310933-8c86-443e-a2c6-f12f123143ce","year":2000},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.693973Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:fdbbf44f9ee33daf6e8dfb60b8558e8a2dfe2bb132a081a830c311b1a3c66152","observation_id":"b31d0c57-9ad5-49cb-84f4-6dbc54961412","resolution":{"observed_at":"2026-08-09T16:49:42.882460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.862274Z","title":"Spatial transforma- tions of diffusion tensor magnetic resonance images","venue":null,"work_id":"0f05fd94-8e95-4513-bb0c-5cd01629ff63","year":2001},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.698435Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:8e0f18d4cec3fce49c9634381b57ceade85a22cad93a2344bc5ecbae42efcec3","observation_id":"2cdf52d1-ab38-4ebd-a9b6-4b01544da538","resolution":{"observed_at":"2026-08-09T16:49:42.867268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.847056Z","title":"Zhang, B.B","venue":null,"work_id":"e996baf5-ad06-4d65-8781-4dbf47e5fd98","year":2007},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.702960Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:df5dc45faee5a2e21758cf9f17d92da251a7d6aebb3938890020bddbe848f041","observation_id":"ae4f3708-00f0-4ed9-aa72-f0633f983723","resolution":{"observed_at":"2026-08-09T16:49:42.852112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.831084Z","title":"Irfanoglu, A","venue":null,"work_id":"7ceb4bf5-f677-4aaf-b225-915b2686ca09","year":2016},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.707909Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:8d54486a65efb225527fae00a06f2274dfdf93b38b5df8d4780c5fcf70d01c14","observation_id":"ecfc32c6-e9c4-45ff-957e-7f47ff04934f","resolution":{"observed_at":"2026-08-09T16:49:42.835809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.815507Z","title":"A continuous staple for scalar, vector, and tensor images: an application to dti analysis","venue":null,"work_id":"e7a90c52-50f8-4ce2-9cd4-d8ef4c80ba01","year":2008},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.712695Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:501a2349b51ac05cfc3bc68b4a2631918579107f661dac4ddf41495e47162a39","observation_id":"ac7dbe64-2306-4750-8732-1cac1a50c643","resolution":{"observed_at":"2026-08-09T16:49:42.821231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.799131Z","title":"Unbiased white matter atlas construction using diffusion tensor images","venue":null,"work_id":"01375c49-7db7-40e9-bb67-11444c3e8225","year":2007},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.717309Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:8a6a15cfea05a95e586ee40ed1d31119915cb2ac94722024379a94e69fd47742","observation_id":"aea162e1-bd00-4734-b041-28de9ce54c06","resolution":{"observed_at":"2026-08-09T16:49:42.804487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.782474Z","title":"Raffelt, J.D","venue":null,"work_id":"e5be4ec0-3ff7-474c-892c-815b99dce745","year":2011},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.722747Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:dbe70ea7a2e19b02125c7cd9584b9c42b012914d292287bcedc7d9aa7263d31c","observation_id":"b78902b8-7a2b-49bd-ac85-256822cf5545","resolution":{"observed_at":"2026-08-09T16:49:42.787338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.766582Z","title":"Zhang, W.M","venue":null,"work_id":"68127836-61d5-4247-8f26-5f9728c2870f","year":2021},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.727133Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:f2da631cd72c56ba7e303a126554253dea2b21429901dbd10f645cd34f3058ff","observation_id":"566a2039-40b9-495e-9571-a5ccced5274b","resolution":{"observed_at":"2026-08-09T16:49:42.771883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.751164Z","title":"Commowick, A","venue":null,"work_id":"360a869b-37d0-4878-8e8b-395da250b29c","year":2015},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.731505Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:28070fb37b65f7f9b40415c83c65af69337ff3c4bed4709ac2a94984c6a160a1","observation_id":"4af2f5be-1d5c-496a-b2cc-dbeb8a6ea6b2","resolution":{"observed_at":"2026-08-09T16:49:42.756009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.735671Z","title":"Karimi, H","venue":null,"work_id":"3cb5e029-3b1f-4334-9d0b-bd351aba190e","year":null},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.735901Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:407994db03afcc6c722fb05dedfef07c1c403be3eb7c363a84c3318d73ddbeb9","observation_id":"d7d5788d-510a-468f-9371-6e05e3c2c6ed","resolution":{"observed_at":"2026-08-09T16:49:42.740563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.720664Z","title":"Garyfallidis, O","venue":null,"work_id":"e4787a34-b575-42dc-ba89-856abd29bb85","year":2015},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.740402Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:6087b325b68458db5f20a94a456f7e63d17eac9e8a5630c9c670b8d69f38bf1a","observation_id":"3a8e87e0-0132-46c0-bc8f-d09332c5f4fd","resolution":{"observed_at":"2026-08-09T16:49:42.725469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.701432Z","title":"Garyfallidis, M.A","venue":null,"work_id":"5c40674e-cfb4-4fd5-b6f0-11843a7ab40c","year":2018},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.744964Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:9408d3f2f24c40fd6c180ac6391e88935981f3dbd938e697ac473b79e02975a3","observation_id":"d72b4343-eb86-401c-bf6b-43892b1d306d","resolution":{"observed_at":"2026-08-09T16:49:42.709038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.684770Z","title":"Unbi- ased groupwise registration of white matter tractography","venue":null,"work_id":"a27c7778-fa3d-4e59-9b85-589cdf3f1eb5","year":2012},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.749705Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:b759f8d28ef491b077bbd8b48532667c43393856eb782c354eb9db3fe7c8428d","observation_id":"1e85a6ea-1d42-4a1e-99e9-66c9cdbe94c5","resolution":{"observed_at":"2026-08-09T16:49:42.690007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.668406Z","title":"Taquet, B","venue":null,"work_id":"1a2ece74-8b5d-4628-8ce2-569227cde3b0","year":2013},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.755037Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:f6ea59575d2cb1e1241882294831fd55179a809643bb867fc65efd35d7755e2c","observation_id":"1d93f14d-5263-4f8b-bf58-8f71085d7634","resolution":{"observed_at":"2026-08-09T16:49:42.673523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.651973Z","title":"Jbabdi, T.E","venue":null,"work_id":"0bff88f9-5fee-4cd3-80fd-4589e45072cc","year":2010},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.759955Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:763779421d8ad77a4c43aa1a08a920ff877ea9522addeacf49c0fa5e8699e8b0","observation_id":"98311819-a53e-4310-9b22-8114d2b1fdd0","resolution":{"observed_at":"2026-08-09T16:49:42.657033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.636767Z","title":"Keihaninejad, N.S","venue":null,"work_id":"c5d70ea7-594b-485b-8ef2-2f38cd8e71cf","year":2012},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.765943Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:4a5c3b0eb9c73934f99963f2d3136e23f5658a5abe84854c79a727f3c1052bf1","observation_id":"81fc1850-e07f-40be-acdd-4e560705d514","resolution":{"observed_at":"2026-08-09T16:49:42.641537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.621914Z","title":null,"venue":null,"work_id":"54f1dfbf-6c0b-4b24-9c1a-9182c2237f58","year":2021},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.771163Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:320ba38a03bb7843503ad57eb139445d416504c1bbb77547509540b0834b993d","observation_id":"732e5882-8980-4467-8732-db7300da566d","resolution":{"observed_at":"2026-08-09T16:49:42.626400Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.606676Z","title":"Longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging","venue":null,"work_id":"4fe42115-35cc-49d1-aaad-00326c48f3cc","year":2014},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.775840Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:883b12fe6ae76c38b1f4c3069b863961929a5224cb53442fa28b6e471c31416c","observation_id":"f01f9234-b224-4863-85ab-7eca6372af55","resolution":{"observed_at":"2026-08-09T16:49:42.611542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.591474Z","title":"Toward a quantitative assessment of diffusion anisotropy","venue":null,"work_id":"85bde5a7-9187-4d7e-836a-829dbbd6ab82","year":1996},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.780441Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:4133b63a98b15347f5f64be282ebb498fc072cfe774f731650123bc4a32a3387","observation_id":"d67e38e7-153d-4923-9810-a0a2b1b51714","resolution":{"observed_at":"2026-08-09T16:49:42.596578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.575271Z","title":"Estimation of the effective self-diffusion tensor from the nmr spin echo","venue":null,"work_id":"5a90d1ef-4e80-49de-9216-88b4e7120103","year":1994},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.785391Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:12e9144c5eb6177a31f78dae58ce2452287f268291b39f4c81238bfafd783d2b","observation_id":"a38a439c-edaa-4698-8b60-c6408b603c82","resolution":{"observed_at":"2026-08-09T16:49:42.580792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.554981Z","title":"Non-linear registration, aka spatial normalisation fmrib technical report tr07ja2","venue":null,"work_id":"14b2c95a-730a-4945-afb4-74b04132d208","year":2007},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.791387Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:df4277e0e5a1f8a07244933035ecb6182f6f8ed7332f51a5e898353ba5bd25e9","observation_id":"052f00a8-068e-4895-af00-25d45ab7bd4f","resolution":{"observed_at":"2026-08-09T16:49:42.563981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.535181Z","title":"Accurate and robust brain image alignment using boundary- based registration","venue":null,"work_id":"cb11007a-bc22-41ae-80e1-b96f744febc6","year":2009},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.796492Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:397d6fa65edeed6dbb766f12887ff10f335799dd2d75b80ebba2171d68086144","observation_id":"9d971e33-916b-4d30-a892-19a9dbb53711","resolution":{"observed_at":"2026-08-09T16:49:42.540323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.518585Z","title":null,"venue":null,"work_id":"e72e3f1a-4724-4648-9a4b-ad67ac63bb3b","year":2015},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.802169Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:bd49fa0cd68e6ffa6db6671a190dfaa8efc0323edf9d5215ff8f12983f818ed6","observation_id":"b1a00bde-ce0f-4d41-8413-19190ca3ce49","resolution":{"observed_at":"2026-08-09T16:49:42.523235Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.492137Z","title":"Zhang, P","venue":null,"work_id":"652c64de-0c8d-4d18-aab1-dbaab6ba9804","year":2006},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.807865Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:6e211c80f8afb42b2ffb8e30bb61b22d20122d980ef0c2739fd79f44932c950c","observation_id":"d1751810-86f7-4e6e-acfa-13bd888c0031","resolution":{"observed_at":"2026-08-09T16:49:42.497517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.474225Z","title":"Detailed anatomic segmentations of a fetal brain diffusion tensor imaging atlas between 23 and 30 weeks of gestation","venue":null,"work_id":"ceee640f-013a-43b7-8fcb-e517b0b6ac5c","year":2023},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.813018Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:14a766b252f0cfb83a397ab1884b6d8efdbcc5e01ada996f821201870ad6f5a0","observation_id":"79168c88-ffef-4311-9b2b-84fe04f59fe9","resolution":{"observed_at":"2026-08-09T16:49:42.480642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.456512Z","title":"Elastix: a toolbox for intensity-based medical image registration","venue":null,"work_id":"10c26ab0-029d-4a08-ac96-c412e860bbc0","year":2009},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.819149Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:b61b6cca5003d5b519e0e0dd9ad412a88b09d152245f843cc1a2669fb80b37b2","observation_id":"9a20163a-992a-479a-922c-63b64d9bdca2","resolution":{"observed_at":"2026-08-09T16:49:42.462225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T16:49:41.825234Z","title":"Rectifier nonlinearities improve neural network acoustic models","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.825234Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:be94e3b1c3671db13e4fe18d5ea7185072ceda194a7b32c983c15057e2a4d379","observation_id":"62be4e3d-3f76-4fb2-ad3c-5f889e2fa90d","resolution":{"observed_at":"2026-08-09T16:49:41.825234Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T16:49:41.830096Z","title":"Gradient-based learning applied to document recognition","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.830096Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:cdd21897603b8bc3f5374c11a05dd042f82d7991d8a6511cfcfcd4d80a53c2c8","observation_id":"1a19ffb5-8f7d-40ef-88a7-c566886d4733","resolution":{"observed_at":"2026-08-09T16:49:41.830096Z","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":"2026-08-09T16:49:42.416473Z","title":"Anatomy-aware and acquisition-agnostic joint registration with synthmorph","venue":null,"work_id":"e69d511e-05f9-40fd-b750-67e8015ca802","year":2024},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.835079Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:6f9f6e23ea5530d4b458a759797cf4d559b2b540f0ee106f2e161b7c11b491a1","observation_id":"b911e8ec-02c3-4517-b76b-31fa981885ff","resolution":{"observed_at":"2026-08-09T16:49:42.421333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14019","last_updated":"2025-06-06T18:23:04Z","snapshot_observed_at":"2026-07-06T18:18:12.096996Z","submitted_at":"2024-05-22T21:52:30Z","title":"BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14019","snapshot_observed_at":"2026-08-09T16:49:41.839857Z","title":"Brainmorph: A foundational keypoint model for robust and flexible brain MRI registration","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.839857Z"},"links":{"cited_paper":"/paper/2405.14019","citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:005696585b07037af041cbc4c5c25b5d585da56715c592873e6eed2d6bf01bf5","observation_id":"39853b82-2fbc-4788-954b-e9e2b00596c1","resolution":{"observed_at":"2026-08-09T16:49:41.839857Z","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":"2026-08-09T16:49:42.400726Z","title":"Mathematical methods and algorithms for signal processing","venue":null,"work_id":"63ae65ee-e76e-4212-b92c-2e7db9c00113","year":2000},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.845412Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:3018282cfddbe395e8770b97a8f11f9853efa193f992d51f7fc6f3866e8fb54a","observation_id":"f9289c58-aa62-4a0e-bebc-5fa05c74cfba","resolution":{"observed_at":"2026-08-09T16:49:42.406156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.380004Z","title":"Hammer: hierarchical attribute matching mechanism for elastic registration","venue":null,"work_id":"3dd1fb4a-1da7-431e-b708-31a4b2fbfbdc","year":2002},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.852798Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:bb97232a3eaf134dbbc18dad5e6f05387046fb74532d021a001055a042f5087a","observation_id":"e2cc1abd-56ec-4a4e-a982-7ab380be4bf5","resolution":{"observed_at":"2026-08-09T16:49:42.386770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.355281Z","title":"Correlation-aware coarse-to-fine mlps for deformable medical image registration","venue":null,"work_id":"c1486538-40a7-4ac4-b9bc-71f5478f7bbb","year":2024},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.857993Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:10ce74aca21c484a31dc7fc820782216d326c8f5eab620f4dbc1161724932476","observation_id":"c33478e4-cb54-4318-8bd7-156164ad943f","resolution":{"observed_at":"2026-08-09T16:49:42.362373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.338299Z","title":"Fetal diffusion mri acquisition and analysis in the developing human connectome project","venue":null,"work_id":"bff538aa-e87b-4588-809b-11b1eae3b1cf","year":2019},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.863275Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:3e416545273ce4d432a35e62a866950329c924178c6cc94668d85f71d71f38a0","observation_id":"642729e0-7eab-4c34-8ef8-b0ace318c28a","resolution":{"observed_at":"2026-08-09T16:49:42.343107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.321215Z","title":"Motion-robust diffusion-weighted brain MRI reconstruction through slice-level registration-based motion tracking","venue":null,"work_id":"c5370c04-b300-4c74-bc17-cbc8185aa50e","year":2016},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.869484Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:e4a2ada18237d2633359f958d9f7ba996d11ed5dcc1fe066dab680a43223583c","observation_id":"be0268fa-a5a9-424b-98a1-74f852e7cf6a","resolution":{"observed_at":"2026-08-09T16:49:42.327166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.301133Z","title":"A detailed spatiotemporal atlas of the white matter tracts for the fetal brain","venue":null,"work_id":"db775df8-8827-4538-9a3a-129596c5048f","year":2025},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.874421Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:c58d2a16b4d01997960f5098511fcee305d36f22b418668ee52474778a5227e2","observation_id":"079a136b-2453-43bb-9026-56e796ebe916","resolution":{"observed_at":"2026-08-09T16:49:42.307257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.277730Z","title":"Anatomically constrained tractography of the fetal brain","venue":null,"work_id":"e9543b88-978c-4f58-970b-744fe3d67f95","year":2024},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.879711Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:f91630829e829ec325f2c6589a73a3455be7f5da63df87f9b2048e2c82433239","observation_id":"ac2b4df8-a683-446e-b2f6-34e739c71897","resolution":{"observed_at":"2026-08-09T16:49:42.282571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.262365Z","title":"The white matter query language: a novel approach for describ- ing human white matter anatomy","venue":null,"work_id":"93370cc0-41cb-4781-ba15-193e635a8c31","year":2016},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.884624Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:7589ee98b3ee30aaf03ca282a8fb94745b86743d71ac411278a31c913c75e5e0","observation_id":"7bf6605e-3fd3-4499-a95a-8845b8bf2096","resolution":{"observed_at":"2026-08-09T16:49:42.268089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.247287Z","title":"Scat- tered slice shard reconstruction for motion correction in multi-shell diffusion mri","venue":null,"work_id":"c8ca5311-5bfc-47a6-949a-6e731367f1da","year":2021},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.889335Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:86e3be2a5c99a6b2faca4b12de3f10b2e019662ca571267d80e31d1ac70ddf99","observation_id":"983aa299-55b4-4da0-9030-a9249d39a7b2","resolution":{"observed_at":"2026-08-09T16:49:42.252092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.231633Z","title":"A unifying theoretical and algorithmic framework for least squares methods of estimation in diffusion tensor imaging","venue":null,"work_id":"4762be97-8338-4d5b-9a89-2e513abda3ae","year":2006},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.894051Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:a28badb0b954b7be9a1cd61e28114f8180f58a2b93eec1a261a6a4f1e729c714","observation_id":"e9e4668f-c6eb-44fb-997b-d1dc29f441a1","resolution":{"observed_at":"2026-08-09T16:49:42.236367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.215910Z","title":"Itk-snap: An interactive tool for semi- automatic segmentation of multi-modality biomedical images","venue":null,"work_id":"410696f1-c6f7-4d41-b105-efcd325a28ce","year":2016},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.898720Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:683f2e453382ab4dcb5c372647470add61d8b1be4cadcec17404ff816dd04881","observation_id":"1031f10e-aa20-4354-921e-7f0c534942c8","resolution":{"observed_at":"2026-08-09T16:49:42.221136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.198547Z","title":"Fetal-bet: Brain extraction tool for fetal mri","venue":null,"work_id":"20742324-57d3-4e47-801c-94eb3083c17c","year":2024},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.905067Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:1b0e3666c1cb6e0f8426c590ab3f43615c4467818b85c3de16f00f871ed55b1b","observation_id":"edf964ea-cf5b-478f-8c2f-fbff6ea98f16","resolution":{"observed_at":"2026-08-09T16:49:42.203483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.181691Z","title":"Haitch: A framework for distortion and motion correction in fetal multi-shell diffusion-weighted mri","venue":null,"work_id":"fb3d7310-5297-4f4c-9c17-d83f5cd1fa1f","year":2024},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.912947Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:38c56d4c138ee8eb93c044353f4dd5c29863d105e575a5ed6c1380a5af5f26da","observation_id":"2dd452cc-b897-4377-9bad-ce162c539be5","resolution":{"observed_at":"2026-08-09T16:49:42.187162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.164889Z","title":"Analysis of focus measure operators for shape-from-focus","venue":null,"work_id":"a6e54823-f68b-4e60-b21f-6d229cb46276","year":2013},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.917913Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:d5f7d65066a6f535d249826855ade180720da81a8468497b151905530f91b11b","observation_id":"50f50138-b8cf-4f74-aa2d-eab2fdb05b5b","resolution":{"observed_at":"2026-08-09T16:49:42.170450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.141695Z","title":"Voxel- morph: a learning framework for deformable medical image registration","venue":null,"work_id":"0d491a1b-e6e3-4598-b1a3-1c40987f2f07","year":2019},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.923049Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:e636c7b96306a3b24dc00e950264397d09f111ba89e72a8a030af9f4c3c3ff43","observation_id":"a8bdd924-5d2d-4501-9bec-3ee3677eead1","resolution":{"observed_at":"2026-08-09T16:49:42.152161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.119585Z","title":null,"venue":null,"work_id":"f28a70d6-8d09-451b-ba2c-c069e6f2ddfc","year":2019},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.928074Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:8fcc98acd9e126f30cb3835515815e88b3b8f44507c944430c7d46da49b05d18","observation_id":"1ec068e7-8671-46fb-88fe-af62db0e2c96","resolution":{"observed_at":"2026-08-09T16:49:42.124754Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-09T16:49:41.932804Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.932804Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:cf15e5dfb956aa66ade5fda4827402842b7b3446bd8329af034a42cc3d6c50b4","observation_id":"558d6d55-0cbd-4cda-9fb0-60b6e0f90091","resolution":{"observed_at":"2026-08-09T16:49:41.932804Z","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":"2026-08-09T16:49:42.098587Z","title":"Repro- ducibility of diffusion MRI-based tractography in the fetal brain.Journal of Magnetic Resonance Imaging, 2024","venue":null,"work_id":"75b26d40-98cd-4877-be0c-0d2d7f3493da","year":2024},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.937842Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:fc767e45a1b395a015e405574fe9771f512ba7cbd5e2a736c768c32db0da1f06","observation_id":"56939168-4f13-42a9-8602-91aa7408de22","resolution":{"observed_at":"2026-08-09T16:49:42.105925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.076254Z","title":"Radial organization of developing preterm human cerebral cortex revealed by non-invasive water diffu- sion anisotropy MRI","venue":null,"work_id":"4887a384-5147-4cc1-9d74-f4051f8f2ef3","year":2002},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.943302Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:e5b58387b1f223fb7e51cbc835a680e4c0a7684150f80382222395be26aef415","observation_id":"92ff2760-7e74-4351-a517-cfbaafa6cbb6","resolution":{"observed_at":"2026-08-09T16:49:42.082695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.058509Z","title":"Transmorph: Transformer for unsupervised medical image registration","venue":null,"work_id":"5acfe6f3-8a5b-480f-bcd5-46f53edbee96","year":2022},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.948618Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:b6c5d467a06f37ee2ab20b236362f12c191d04bf1fa0c4c1a128dc794b055b37","observation_id":"b61bfbaf-8d39-4e6d-a285-262fbb5ee8a3","resolution":{"observed_at":"2026-08-09T16:49:42.063829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T16:49:42.038899Z","title":"Affine medical image registration with coarse-to-fine vision transformer","venue":null,"work_id":"ec0fcba0-b00a-422d-9dff-725b8b400ee1","year":2022},"citing_paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI","version":3},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-09T16:49:41.953358Z"},"links":{"citing_paper":"/paper/2502.01057"},"observation_digest":"sha256:a3f5a95a54340b462fb59461b424d552446250991be33289d1d83a437b8afcbf","observation_id":"b5eb0c13-32d8-48bf-af70-179732b64b84","resolution":{"observed_at":"2026-08-09T16:49:42.046146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.01057","last_updated":"2025-02-24T17:55:45Z","latest_version":3,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-09T16:42:22.539761Z","submitted_at":"2025-02-03T05:10:00Z","title":"FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI"},"reference_resolution":{"displayed":75,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":0,"verified_fuzzy":65},"total_outbound_references":75},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2502.01057."}