{"as_of":"2026-08-07T19:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:636aeb33cd5a0ec6d9d16a17cc970fc430c0f75bde9e70969f85ca1b25d452c0","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:52:37.566925Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T18:52:38.937181Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.09277","last_updated":"2024-02-14T16:08:33Z","snapshot_observed_at":"2026-07-06T17:30:03.953345Z","submitted_at":"2024-02-14T16:08:33Z","title":"A Modular Deep Learning-based Approach for Diffuse Optical Tomography Reconstruction","version":1},"cited_work":{"arxiv_id":"2402.09277","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.09277","snapshot_observed_at":"2026-08-06T18:52:38.937181Z","title":"A Modular Deep Learning-based Approach for Diffuse Optical Tomography Reconstruction","venue":"math.NA","work_id":"499e3cdb-841a-4a6d-b5af-4fe69d59c8ec","year":2024},"citing_paper":{"arxiv_id":"2507.07291","last_updated":"2025-07-09T21:22:59Z","snapshot_observed_at":"2026-08-06T18:42:20.236031Z","submitted_at":"2025-07-09T21:22:59Z","title":"Estimating Dataset Dimension via Singular Metrics under the Manifold Hypothesis: Application to Inverse Problems","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-06T18:52:37.566925Z"},"links":{"cited_paper":"/paper/2402.09277","citing_paper":"/paper/2507.07291"},"observation_digest":"sha256:5150f98c9d39f0a81bbdb016385dc3d88750f2b4e4012f80e751ac2ef7575480","observation_id":"38444ce2-ed7f-4586-89a1-967b19f5b2d8","resolution":{"observed_at":"2026-08-06T18:52:38.943149Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.09277/citation-record","integrity":"/paper/2402.09277/integrity","json":"/paper/2402.09277/citation-record.json","paper":"/paper/2402.09277"},"outbound":[],"paper":{"arxiv_id":"2402.09277","last_updated":"2024-02-14T16:08:33Z","latest_version":1,"primary_category":"math.NA","snapshot_observed_at":"2026-07-06T17:30:03.953345Z","submitted_at":"2024-02-14T16:08:33Z","title":"A Modular Deep Learning-based Approach for Diffuse Optical Tomography Reconstruction"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2402.09277."}