{"as_of":"2026-08-08T19:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ae06b9cb0d7f52590e6897f7ba7b8593cb72a3cfc4340d14d59a55ab3ae893c5","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T13:38:40.281206Z","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":"2026-05-20T19:48:57.263531Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.09899","last_updated":"2023-02-20T10:54:03Z","snapshot_observed_at":"2026-07-06T14:53:38.559350Z","submitted_at":"2023-02-20T10:54:03Z","title":"A Survey on Semi-Supervised Semantic Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09899","snapshot_observed_at":"2026-08-08T13:38:40.281206Z","title":"arXiv preprint arXiv:2302.09899 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07172","last_updated":"2025-02-20T01:17:01Z","snapshot_observed_at":"2026-08-08T13:32:07.757970Z","submitted_at":"2025-02-11T01:39:11Z","title":"SemiHMER: Semi-supervised Handwritten Mathematical Expression Recognition using pseudo-labels","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T13:38:40.281206Z"},"links":{"cited_paper":"/paper/2302.09899","citing_paper":"/paper/2502.07172"},"observation_digest":"sha256:41bfbe2d9e6069c84d3cd7e7edf3f867f033f5e9b5d9dec7ae9a788006a0d3ff","observation_id":"46fb81e6-4af4-46a1-b2e3-8f654a8c7f0c","resolution":{"observed_at":"2026-08-08T13:38:40.281206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09899","last_updated":"2023-02-20T10:54:03Z","snapshot_observed_at":"2026-07-06T14:53:38.559350Z","submitted_at":"2023-02-20T10:54:03Z","title":"A Survey on Semi-Supervised Semantic Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09899","snapshot_observed_at":"2026-08-07T12:51:32.721700Z","title":"A survey on semi- supervised semantic segmentation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23438","last_updated":"2025-05-29T13:35:48Z","snapshot_observed_at":"2026-08-07T12:43:34.079368Z","submitted_at":"2025-05-29T13:35:48Z","title":"Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T12:51:32.721700Z"},"links":{"cited_paper":"/paper/2302.09899","citing_paper":"/paper/2505.23438"},"observation_digest":"sha256:c8e2593ae3aefa4dd3b72497d9faf6ed0f988932cb5c5dc77c333ab53eebd369","observation_id":"3ff5daaf-5143-4497-a760-b8a00c0d87a8","resolution":{"observed_at":"2026-08-07T12:51:32.721700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09899","last_updated":"2023-02-20T10:54:03Z","snapshot_observed_at":"2026-07-06T14:53:38.559350Z","submitted_at":"2023-02-20T10:54:03Z","title":"A Survey on Semi-Supervised Semantic Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09899","snapshot_observed_at":"2026-08-07T10:18:59.813718Z","title":"arXiv preprint arXiv:2302.09899 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05917","last_updated":"2025-06-06T09:37:45Z","snapshot_observed_at":"2026-08-07T10:10:52.101000Z","submitted_at":"2025-06-06T09:37:45Z","title":"Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T10:18:59.813718Z"},"links":{"cited_paper":"/paper/2302.09899","citing_paper":"/paper/2506.05917"},"observation_digest":"sha256:71c8777f911b7e2fc19f165cd35857440e338e633b77c8c333aabb09e04ef069","observation_id":"47a5c58f-6ebf-4e31-a64a-4c2ebe2ca1f3","resolution":{"observed_at":"2026-08-07T10:18:59.813718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09899","last_updated":"2023-02-20T10:54:03Z","snapshot_observed_at":"2026-07-06T14:53:38.559350Z","submitted_at":"2023-02-20T10:54:03Z","title":"A Survey on Semi-Supervised Semantic Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09899","snapshot_observed_at":"2026-08-07T05:09:33.273865Z","title":", author Mesejo, P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08772","last_updated":"2025-06-11T16:46:53Z","snapshot_observed_at":"2026-08-08T18:35:22.281497Z","submitted_at":"2025-06-10T13:15:15Z","title":"RS-MTDF: Multi-Teacher Distillation and Fusion for Remote Sensing Semi-Supervised Semantic Segmentation","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T05:09:33.273865Z"},"links":{"cited_paper":"/paper/2302.09899","citing_paper":"/paper/2506.08772"},"observation_digest":"sha256:f44e3e6d74809bcfe0cd18236f7074c3b1358e67241bc9d2b93b8ca92df96922","observation_id":"cf8096f1-cad1-4e32-b3f4-3eccab5d616f","resolution":{"observed_at":"2026-08-07T05:09:33.273865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09899","last_updated":"2023-02-20T10:54:03Z","snapshot_observed_at":"2026-07-06T14:53:38.559350Z","submitted_at":"2023-02-20T10:54:03Z","title":"A Survey on Semi-Supervised Semantic Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09899","snapshot_observed_at":"2026-08-06T14:37:27.945603Z","title":"A survey on semi-supervised semantic segmentation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.18323","last_updated":"2025-08-05T08:06:11Z","snapshot_observed_at":"2026-08-06T14:37:25.874304Z","submitted_at":"2025-07-24T11:49:46Z","title":"SemiSegECG: A Multi-Dataset Benchmark for Semi-Supervised Semantic Segmentation in ECG Delineation","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T14:37:27.945603Z"},"links":{"cited_paper":"/paper/2302.09899","citing_paper":"/paper/2507.18323"},"observation_digest":"sha256:2349b89d1dbc97b77d512e3aace8c3d3fb0b7f3ce19247da68d09adb5b7d112f","observation_id":"9b375efd-8ea1-4838-a3a4-1a127c0954a7","resolution":{"observed_at":"2026-08-06T14:37:27.945603Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09899","last_updated":"2023-02-20T10:54:03Z","snapshot_observed_at":"2026-07-06T14:53:38.559350Z","submitted_at":"2023-02-20T10:54:03Z","title":"A Survey on Semi-Supervised Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"2302.09899","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.09899","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey on semi- supervised semantic segmentation","venue":null,"work_id":"d97e0a50-5c48-470a-a6f6-18cd4cb28a01","year":2023},"citing_paper":{"arxiv_id":"2605.01775","last_updated":"2026-05-03T08:26:20Z","snapshot_observed_at":"2026-08-02T08:36:06.807121Z","submitted_at":"2026-05-03T08:26:20Z","title":"A Semi-Supervised Kernel Two-Sample Test","version":1},"reference_index":142,"source":"arxiv_source","source_observed_at":"2026-05-09T17:11:00.403911Z"},"links":{"cited_paper":"/paper/2302.09899","citing_paper":"/paper/2605.01775"},"observation_digest":"sha256:c067e36fd18ae940d13aa0d10603c45e696315bf26048e2e36313fb633456339","observation_id":"e3840254-1dbb-43f6-9d3f-757643c181d5","resolution":{"observed_at":"2026-05-11T16:26:05.688442Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2302.09899","last_updated":"2023-02-20T10:54:03Z","snapshot_observed_at":"2026-07-06T14:53:38.559350Z","submitted_at":"2023-02-20T10:54:03Z","title":"A Survey on Semi-Supervised Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"2302.09899","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.09899","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey on semi- supervised semantic segmentation","venue":null,"work_id":"d97e0a50-5c48-470a-a6f6-18cd4cb28a01","year":2023},"citing_paper":{"arxiv_id":"2605.15722","last_updated":"2026-05-15T08:18:42Z","snapshot_observed_at":"2026-07-06T23:26:56.013191Z","submitted_at":"2026-05-15T08:18:42Z","title":"Bidirectional Fusion Guided by Cardiac Patterns for Semi-Supervised ECG Segmentation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-20T19:48:28.913654Z"},"links":{"cited_paper":"/paper/2302.09899","citing_paper":"/paper/2605.15722"},"observation_digest":"sha256:bbe94df7bf93d506a60948815d98ac35028ffa9bf8c23b379cd417e4b8176c12","observation_id":"a7c5b4aa-b7a3-41b8-97d4-394cd9c513f9","resolution":{"observed_at":"2026-05-20T19:48:57.265921Z","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/2302.09899/citation-record","integrity":"/paper/2302.09899/integrity","json":"/paper/2302.09899/citation-record.json","paper":"/paper/2302.09899"},"outbound":[],"paper":{"arxiv_id":"2302.09899","last_updated":"2023-02-20T10:54:03Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T14:53:38.559350Z","submitted_at":"2023-02-20T10:54:03Z","title":"A Survey on Semi-Supervised Semantic 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 7 inbound Pith citation observations for arXiv:2302.09899."}