{"as_of":"2026-08-21T01:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8450adf0eef49a30098f73bf4e0b2536257d8d12b0d95524e82a12163ea57e13","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":"2026-08-20T06:33:59.587034+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":"2026-08-10T17:37:19.205348Z","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":"2026-08-10T17:37:19.578315Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.02642","last_updated":"2024-05-29T18:13:03Z","snapshot_observed_at":"2026-08-19T20:33:47.402379Z","submitted_at":"2024-05-04T11:37:08Z","title":"Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation","version":2},"cited_work":{"arxiv_id":"2405.02642","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.02642","snapshot_observed_at":"2026-08-10T17:37:19.578315Z","title":"Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation","venue":"cs.LG","work_id":"66942b3b-732b-4441-a0fa-a9f14d381204","year":2024},"citing_paper":{"arxiv_id":"2501.12030","last_updated":"2025-01-21T10:48:13Z","snapshot_observed_at":"2026-08-14T04:58:00.773013Z","submitted_at":"2025-01-21T10:48:13Z","title":"Advancing Earth Observation: A Survey on AI-Powered Image Processing in Satellites","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T17:37:19.205348Z"},"links":{"cited_paper":"/paper/2405.02642","citing_paper":"/paper/2501.12030"},"observation_digest":"sha256:7ff7b8337ea964ab5e567b91919766daadc432fdc7ef82a49e8a683602e28972","observation_id":"a8a0ab65-96fc-4f3c-8856-de2e3463b636","resolution":{"observed_at":"2026-08-10T17:37:19.587418Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.02642/citation-record","integrity":"/paper/2405.02642/integrity","json":"/paper/2405.02642/citation-record.json","paper":"/paper/2405.02642"},"outbound":[],"paper":{"arxiv_id":"2405.02642","last_updated":"2024-05-29T18:13:03Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T20:33:47.402379Z","submitted_at":"2024-05-04T11:37:08Z","title":"Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2405.02642."}