{"as_of":"2026-08-09T05:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b93857dcd03737933f7a4061198b2fb39bd5d942a23e93f2ba21a7f5eb72ac45","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:51:40.767690Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-23T22:13:30.656267Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.03526","last_updated":"2024-03-10T07:13:49Z","snapshot_observed_at":"2026-07-06T17:25:53.950578Z","submitted_at":"2024-02-05T21:28:47Z","title":"nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model","version":2},"cited_work":{"arxiv_id":"2402.03526","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.03526","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2402.03526 (2024)","venue":null,"work_id":"b3b2d370-e277-4981-9106-fa4c491867ac","year":2024},"citing_paper":{"arxiv_id":"2408.01129","last_updated":"2026-04-06T02:10:55Z","snapshot_observed_at":"2026-07-30T06:31:55.204130Z","submitted_at":"2024-08-02T09:18:41Z","title":"A Survey of Mamba","version":8},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-23T22:09:19.917854Z"},"links":{"cited_paper":"/paper/2402.03526","citing_paper":"/paper/2408.01129"},"observation_digest":"sha256:94deb56a79503397332b3002868bf4942400788ea1c0bbd8854125e3d4c1b913","observation_id":"22f83903-439c-4d84-a777-2da498d1f205","resolution":{"observed_at":"2026-05-23T22:13:30.659879Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03526","last_updated":"2024-03-10T07:13:49Z","snapshot_observed_at":"2026-07-06T17:25:53.950578Z","submitted_at":"2024-02-05T21:28:47Z","title":"nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03526","snapshot_observed_at":"2026-08-07T04:51:40.767690Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11150","last_updated":"2025-07-27T14:17:10Z","snapshot_observed_at":"2026-08-07T04:42:26.539055Z","submitted_at":"2025-06-11T10:22:19Z","title":"ADAgent: LLM Agent for Alzheimer's Disease Analysis with Collaborative Coordinator","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T04:51:40.767690Z"},"links":{"cited_paper":"/paper/2402.03526","citing_paper":"/paper/2506.11150"},"observation_digest":"sha256:632b883623cfb95158b21cc23b7ee173f411a5f8e74d31b69523eb04d77cb2fd","observation_id":"ca7c4c8d-c259-49e0-98b8-42cf97c59ccb","resolution":{"observed_at":"2026-08-07T04:51:40.767690Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03526","last_updated":"2024-03-10T07:13:49Z","snapshot_observed_at":"2026-07-06T17:25:53.950578Z","submitted_at":"2024-02-05T21:28:47Z","title":"nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03526","snapshot_observed_at":"2026-08-05T22:19:05.743273Z","title":"nnmamba: 3d biomedical image segmentation, classification and landmark detection with state space model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07237","last_updated":"2025-08-10T08:33:03Z","snapshot_observed_at":"2026-08-08T14:27:47.118181Z","submitted_at":"2025-08-10T08:33:03Z","title":"ASM-UNet: Adaptive Scan Mamba Integrating Group Commonalities and Individual Variations for Fine-Grained Segmentation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:05.743273Z"},"links":{"cited_paper":"/paper/2402.03526","citing_paper":"/paper/2508.07237"},"observation_digest":"sha256:dccf89caee8d687023b6bfcc9349215cc6332ae210307401fb82959857c8fe79","observation_id":"0c1c8106-a398-4e6e-8695-c6209f375685","resolution":{"observed_at":"2026-08-05T22:19:05.743273Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03526","last_updated":"2024-03-10T07:13:49Z","snapshot_observed_at":"2026-07-06T17:25:53.950578Z","submitted_at":"2024-02-05T21:28:47Z","title":"nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model","version":2},"cited_work":{"arxiv_id":"2402.03526","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.03526","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2402.03526 (2024)","venue":null,"work_id":"b3b2d370-e277-4981-9106-fa4c491867ac","year":2024},"citing_paper":{"arxiv_id":"2605.00718","last_updated":"2026-05-01T15:07:14Z","snapshot_observed_at":"2026-07-06T23:14:06.327027Z","submitted_at":"2026-05-01T15:07:14Z","title":"Learning Coarse-to-Fine Osteoarthritis Representations under Noisy Hierarchical Labels","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-09T19:29:15.038089Z"},"links":{"cited_paper":"/paper/2402.03526","citing_paper":"/paper/2605.00718"},"observation_digest":"sha256:3371aebad3099b5c08b882473e1ebc7ec5f6809bf55c9c6e16b5b107a7d93e25","observation_id":"9d174189-e895-42d5-bd7c-86f523521860","resolution":{"observed_at":"2026-05-11T15:41:23.208393Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03526","last_updated":"2024-03-10T07:13:49Z","snapshot_observed_at":"2026-07-06T17:25:53.950578Z","submitted_at":"2024-02-05T21:28:47Z","title":"nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model","version":2},"cited_work":{"arxiv_id":"2402.03526","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.03526","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2402.03526 (2024)","venue":null,"work_id":"b3b2d370-e277-4981-9106-fa4c491867ac","year":2024},"citing_paper":{"arxiv_id":"2605.07142","last_updated":"2026-05-08T02:21:26Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:21:26Z","title":"AGA3DNet: Anatomy-Guided Gaussian Priors with Multi-view xLSTM for 3D Brain MRI Subtype Classification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-11T01:29:48.433348Z"},"links":{"cited_paper":"/paper/2402.03526","citing_paper":"/paper/2605.07142"},"observation_digest":"sha256:3d3f619d03a07da266b274af7a3562d519c527756748490e3ab6c6db352c8a06","observation_id":"e62fc2fd-740f-455e-b0f4-2a25b1b103f7","resolution":{"observed_at":"2026-05-11T01:45:51.779344Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.03526/citation-record","integrity":"/paper/2402.03526/integrity","json":"/paper/2402.03526/citation-record.json","paper":"/paper/2402.03526"},"outbound":[],"paper":{"arxiv_id":"2402.03526","last_updated":"2024-03-10T07:13:49Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T17:25:53.950578Z","submitted_at":"2024-02-05T21:28:47Z","title":"nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.03526."}