{"as_of":"2026-08-08T11:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:61b69ad3c978640bbd7678dd5ce5424d293a697796c0dc213f7e21ef515a5b93","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":"2026-08-07T15:09:13.372471Z","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":"2026-08-06T13:29:15.945755Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.06177","last_updated":"2024-04-11T15:57:52Z","snapshot_observed_at":"2026-07-06T17:57:40.022710Z","submitted_at":"2024-04-09T09:58:10Z","title":"Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.06177","snapshot_observed_at":"2026-08-07T15:09:13.372471Z","title":"arXiv preprint arXiv:2404.06177 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16283","last_updated":"2025-05-22T06:25:32Z","snapshot_observed_at":"2026-08-07T15:02:07.832219Z","submitted_at":"2025-05-22T06:25:32Z","title":"Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:13.372471Z"},"links":{"cited_paper":"/paper/2404.06177","citing_paper":"/paper/2505.16283"},"observation_digest":"sha256:5aae6660424102f1c34c661de696a70dc862e6a0797c5143d4e6ca251d618a80","observation_id":"221ce345-ee34-4a7f-94c3-ee8ef64a20a1","resolution":{"observed_at":"2026-08-07T15:09:13.372471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.06177","last_updated":"2024-04-11T15:57:52Z","snapshot_observed_at":"2026-07-06T17:57:40.022710Z","submitted_at":"2024-04-09T09:58:10Z","title":"Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.06177","snapshot_observed_at":"2026-08-07T11:29:54.875407Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02492","last_updated":"2025-06-03T06:13:19Z","snapshot_observed_at":"2026-08-07T11:20:24.050983Z","submitted_at":"2025-06-03T06:13:19Z","title":"Co-Evidential Fusion with Information Volume for Medical Image Segmentation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T11:29:54.875407Z"},"links":{"cited_paper":"/paper/2404.06177","citing_paper":"/paper/2506.02492"},"observation_digest":"sha256:ff2b0d93de5f896a224438726e84ee77f20be3690820411564a89f234e24d5cd","observation_id":"a6ee7b98-f729-46dc-932c-442387130434","resolution":{"observed_at":"2026-08-07T11:29:54.875407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.06177","last_updated":"2024-04-11T15:57:52Z","snapshot_observed_at":"2026-07-06T17:57:40.022710Z","submitted_at":"2024-04-09T09:58:10Z","title":"Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.06177","snapshot_observed_at":"2026-08-06T17:24:39.217615Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11085","last_updated":"2025-07-15T08:27:29Z","snapshot_observed_at":"2026-08-07T11:00:57.958058Z","submitted_at":"2025-07-15T08:27:29Z","title":"Atmos-Bench: 3D Atmospheric Structures for Climate Insight","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T17:24:39.217615Z"},"links":{"cited_paper":"/paper/2404.06177","citing_paper":"/paper/2507.11085"},"observation_digest":"sha256:8b7649c71002f3f9b81ea80a8095063cdd7bb7d27091263ae28ed72428f9c14e","observation_id":"65df666d-3d21-461d-810c-31bb85110469","resolution":{"observed_at":"2026-08-06T17:24:39.217615Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.06177","last_updated":"2024-04-11T15:57:52Z","snapshot_observed_at":"2026-07-06T17:57:40.022710Z","submitted_at":"2024-04-09T09:58:10Z","title":"Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.06177","snapshot_observed_at":"2026-08-06T13:29:58.280327Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20620","last_updated":"2025-07-28T08:35:11Z","snapshot_observed_at":"2026-08-06T13:29:57.446848Z","submitted_at":"2025-07-28T08:35:11Z","title":"Complementarity-driven Representation Learning for Multi-modal Knowledge Graph Completion","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T13:29:58.280327Z"},"links":{"cited_paper":"/paper/2404.06177","citing_paper":"/paper/2507.20620"},"observation_digest":"sha256:8abe7852eab18a812ab7cc549c27af80834e12ff5ba2c11cb22d7c391b2bf7e2","observation_id":"f96c403e-3b23-4361-9822-c4047aa06170","resolution":{"observed_at":"2026-08-06T13:29:58.280327Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.06177","last_updated":"2024-04-11T15:57:52Z","snapshot_observed_at":"2026-07-06T17:57:40.022710Z","submitted_at":"2024-04-09T09:58:10Z","title":"Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation","version":2},"cited_work":{"arxiv_id":"2404.06177","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.06177","snapshot_observed_at":"2026-08-06T13:29:15.945755Z","title":"Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation","venue":"cs.CV","work_id":"b47d4808-245a-4abe-b286-84ab05505ef3","year":2024},"citing_paper":{"arxiv_id":"2507.20641","last_updated":"2025-07-28T08:58:25Z","snapshot_observed_at":"2026-08-07T05:38:09.029167Z","submitted_at":"2025-07-28T08:58:25Z","title":"Adaptive Fuzzy Time Series Forecasting via Partially Asymmetric Convolution and Sub-Sliding Window Fusion","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T13:29:15.000644Z"},"links":{"cited_paper":"/paper/2404.06177","citing_paper":"/paper/2507.20641"},"observation_digest":"sha256:59f057bbd764ad284413a8bd2fa3198c87a1c750164bfe82d62af0f61922ab36","observation_id":"9add95d0-4e7f-42c5-87ef-83f860c245ff","resolution":{"observed_at":"2026-08-06T13:29:15.952866Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2404.06177/citation-record","integrity":"/paper/2404.06177/integrity","json":"/paper/2404.06177/citation-record.json","paper":"/paper/2404.06177"},"outbound":[],"paper":{"arxiv_id":"2404.06177","last_updated":"2024-04-11T15:57:52Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T17:57:40.022710Z","submitted_at":"2024-04-09T09:58:10Z","title":"Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.06177."}