{"as_of":"2026-08-14T16:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:276e458d4a21744ccc948bcbdc23f1effd66879383fc1050aa483d1e4932cfcc","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":"2026-08-14T06:32:32.682623+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":"2026-08-12T20:20:16.149426Z","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":"2026-08-12T20:20:16.506012Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.00257","last_updated":"2023-04-29T13:33:21Z","snapshot_observed_at":"2026-08-13T11:52:40.568174Z","submitted_at":"2023-04-29T13:33:21Z","title":"Brain Tumor Segmentation from MRI Images using Deep Learning Techniques","version":1},"cited_work":{"arxiv_id":"2305.00257","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.00257","snapshot_observed_at":"2026-08-12T20:20:16.506012Z","title":"Brain Tumor Segmentation from MRI Images using Deep Learning Techniques","venue":"eess.IV","work_id":"4a20d8eb-a119-43d6-9f1d-ec65ef097f41","year":2023},"citing_paper":{"arxiv_id":"2411.09838","last_updated":"2024-11-14T23:11:45Z","snapshot_observed_at":"2026-08-12T20:13:08.442323Z","submitted_at":"2024-11-14T23:11:45Z","title":"OneNet: A Channel-Wise 1D Convolutional U-Net","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T20:20:16.149426Z"},"links":{"cited_paper":"/paper/2305.00257","citing_paper":"/paper/2411.09838"},"observation_digest":"sha256:b65140f049a649d044746e2162092223f860aeacd718c1f985d25197b91df101","observation_id":"88737ac1-ab4c-496f-bfb9-09415953f211","resolution":{"observed_at":"2026-08-12T20:20:16.512559Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.00257/citation-record","integrity":"/paper/2305.00257/integrity","json":"/paper/2305.00257/citation-record.json","paper":"/paper/2305.00257"},"outbound":[],"paper":{"arxiv_id":"2305.00257","last_updated":"2023-04-29T13:33:21Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-13T11:52:40.568174Z","submitted_at":"2023-04-29T13:33:21Z","title":"Brain Tumor Segmentation from MRI Images using Deep Learning Techniques"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2305.00257."}