{"as_of":"2026-08-11T21:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6e549fec255fb677bd355d639d42f7a44c01e594e3a67736fa0787cc35b71c52","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T06:00:51.674004Z","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":"2026-08-11T06:00:00.273840Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.08499","last_updated":"2024-11-17T10:58:50Z","snapshot_observed_at":"2026-08-11T18:11:31.061567Z","submitted_at":"2024-03-13T13:07:14Z","title":"Improved YOLOv5 Based on Attention Mechanism and FasterNet for Foreign Object Detection on Railway and Airway tracks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.08499","snapshot_observed_at":"2026-08-11T06:00:51.674004Z","title":"Improved YOLOv5 Based on Attention Mechanism and FasterNet for Foreign Object Detection on Railway and Airway tracks[J]","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.16935","last_updated":"2024-12-22T09:14:01Z","snapshot_observed_at":"2026-08-11T05:55:45.410692Z","submitted_at":"2024-12-22T09:14:01Z","title":"Detecting and Classifying Defective Products in Images Using YOLO","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T06:00:51.674004Z"},"links":{"cited_paper":"/paper/2403.08499","citing_paper":"/paper/2412.16935"},"observation_digest":"sha256:62e81a1ee7a9e55ebaaf02a5aa1c25f889d7f2179022692b9d7ab267830beac6","observation_id":"22091b65-317b-4014-b64d-3ecee4b7ad27","resolution":{"observed_at":"2026-08-11T06:00:51.674004Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.08499","last_updated":"2024-11-17T10:58:50Z","snapshot_observed_at":"2026-08-11T18:11:31.061567Z","submitted_at":"2024-03-13T13:07:14Z","title":"Improved YOLOv5 Based on Attention Mechanism and FasterNet for Foreign Object Detection on Railway and Airway tracks","version":2},"cited_work":{"arxiv_id":"2403.08499","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.08499","snapshot_observed_at":"2026-08-11T06:00:00.273840Z","title":"Improved YOLOv5 Based on Attention Mechanism and FasterNet for Foreign Object Detection on Railway and Airway tracks","venue":"cs.CV","work_id":"67947d2e-b485-4d4e-9590-54d662528303","year":2024},"citing_paper":{"arxiv_id":"2412.16948","last_updated":"2024-12-22T09:49:48Z","snapshot_observed_at":"2026-08-11T05:54:57.827900Z","submitted_at":"2024-12-22T09:49:48Z","title":"DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T05:59:59.778191Z"},"links":{"cited_paper":"/paper/2403.08499","citing_paper":"/paper/2412.16948"},"observation_digest":"sha256:668f95e21cde2cf75f26499ad422e171ed03a413d7b8c11c1bdc71c264d14a6d","observation_id":"8b2be5b2-a99f-410a-b037-dc71c125bda9","resolution":{"observed_at":"2026-08-11T06:00:00.279840Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.08499/citation-record","integrity":"/paper/2403.08499/integrity","json":"/paper/2403.08499/citation-record.json","paper":"/paper/2403.08499"},"outbound":[],"paper":{"arxiv_id":"2403.08499","last_updated":"2024-11-17T10:58:50Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T18:11:31.061567Z","submitted_at":"2024-03-13T13:07:14Z","title":"Improved YOLOv5 Based on Attention Mechanism and FasterNet for Foreign Object Detection on Railway and Airway tracks"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.08499."}