{"as_of":"2026-08-13T16:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:441b7771bf7bfb7b5cea3a59b193a2b2a4f9e9197d32975ad97b098af090d995","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T14:56:08.441983Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":11,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2208.04052","last_updated":"2022-08-08T10:49:06Z","snapshot_observed_at":"2026-08-13T14:49:04.963573Z","submitted_at":"2022-08-08T10:49:06Z","title":"Dataset of Industrial Metal Objects","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.04052","snapshot_observed_at":"2026-08-12T14:56:08.441983Z","title":"CoRR abs/2208.04052 (2022) 3","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.14807","last_updated":"2024-11-22T09:08:36Z","snapshot_observed_at":"2026-08-13T04:35:22.209137Z","submitted_at":"2024-11-22T09:08:36Z","title":"Harlequin: Color-driven Generation of Synthetic Data for Referring Expression Comprehension","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T14:56:08.441983Z"},"links":{"cited_paper":"/paper/2208.04052","citing_paper":"/paper/2411.14807"},"observation_digest":"sha256:c351ee1f65e47c1555d95f15cb2034be0a421af6f6792be67baae2c958c238cb","observation_id":"1bb5e13b-b744-4673-a95c-5096959e9efc","resolution":{"observed_at":"2026-08-12T14:56:08.441983Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.04052","last_updated":"2022-08-08T10:49:06Z","snapshot_observed_at":"2026-08-13T14:49:04.963573Z","submitted_at":"2022-08-08T10:49:06Z","title":"Dataset of Industrial Metal Objects","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.04052","snapshot_observed_at":"2026-08-07T12:06:46.018795Z","title":"Dataset of industrial metal objects,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.00599","last_updated":"2026-06-29T11:29:24Z","snapshot_observed_at":"2026-08-12T06:01:50.964985Z","submitted_at":"2025-05-31T15:15:27Z","title":"XYZ-IBD: Benchmarking Robust 6D Object Pose Estimation under Real-World Industrial Complexity","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:06:46.018795Z"},"links":{"cited_paper":"/paper/2208.04052","citing_paper":"/paper/2506.00599"},"observation_digest":"sha256:f54398c34655993ff4d38cd12dc8a354be5ed24d08a30ca8ef4302139fd37be9","observation_id":"2fee655e-6d8e-491f-ac47-0008ea279935","resolution":{"observed_at":"2026-08-07T12:06:46.018795Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.04052","last_updated":"2022-08-08T10:49:06Z","snapshot_observed_at":"2026-08-13T14:49:04.963573Z","submitted_at":"2022-08-08T10:49:06Z","title":"Dataset of Industrial Metal Objects","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.04052","snapshot_observed_at":"2026-08-06T21:28:35.140745Z","title":"https://doi.org/10.48550/ARXIV.2208.04052","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.24093","last_updated":"2025-06-30T17:48:14Z","snapshot_observed_at":"2026-08-12T06:01:48.721683Z","submitted_at":"2025-06-30T17:48:14Z","title":"Development of Hybrid Artificial Intelligence Training on Real and Synthetic Data: Benchmark on Two Mixed Training Strategies","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:28:35.140745Z"},"links":{"cited_paper":"/paper/2208.04052","citing_paper":"/paper/2506.24093"},"observation_digest":"sha256:ce665753ef1700df724a88346f67004d41b03ca64007da29527908162f2a944a","observation_id":"f8740d05-30c4-497e-926c-0d280c8b3ec4","resolution":{"observed_at":"2026-08-06T21:28:35.140745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.04052","last_updated":"2022-08-08T10:49:06Z","snapshot_observed_at":"2026-08-13T14:49:04.963573Z","submitted_at":"2022-08-08T10:49:06Z","title":"Dataset of Industrial Metal Objects","version":1},"cited_work":{"arxiv_id":"2208.04052","doi":"10.48550/arxiv.2208.04052","metadata_source":"pith","pith_arxiv_id":"2208.04052","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Dataset of Industrial Metal Objects","venue":"cs.CV","work_id":"ec5ec37f-2099-4ecf-85c4-3bd51b077ae5","year":2022},"citing_paper":{"arxiv_id":"2510.06596","last_updated":"2026-06-10T01:28:46Z","snapshot_observed_at":"2026-08-12T06:00:47.228970Z","submitted_at":"2025-10-08T03:01:26Z","title":"SDQM: Synthetic Data Quality Metric for Object Detection Dataset Evaluation","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-04T11:12:59.283539Z"},"links":{"cited_paper":"/paper/2208.04052","citing_paper":"/paper/2510.06596"},"observation_digest":"sha256:7ef14e4ee2fa67599bb755d31472749e63959f426d1ede7fa0ebb78a48d39064","observation_id":"432fa26c-fbdf-4749-ac40-b1a2c40c1331","resolution":{"observed_at":"2026-08-04T11:13:26.906302Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2208.04052/citation-record","integrity":"/paper/2208.04052/integrity","json":"/paper/2208.04052/citation-record.json","paper":"/paper/2208.04052"},"outbound":[],"paper":{"arxiv_id":"2208.04052","last_updated":"2022-08-08T10:49:06Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T14:49:04.963573Z","submitted_at":"2022-08-08T10:49:06Z","title":"Dataset of Industrial Metal Objects"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2208.04052."}