{"as_of":"2026-08-21T05:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0018bd1c34fb15959b0cee38463150242f32067d6d8ffdda889a8d38037e7ebc","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":"2026-08-20T06:33:59.587034+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":"2026-08-15T22:16:06.911318Z","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":"2026-08-06T22:46:43.585516Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.04359","last_updated":"2024-05-20T06:59:20Z","snapshot_observed_at":"2026-08-17T04:37:00.065577Z","submitted_at":"2024-05-20T06:59:20Z","title":"Naming the Pain in Machine Learning-Enabled Systems Engineering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04359","snapshot_observed_at":"2026-08-15T22:16:06.911318Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.07553","last_updated":"2025-05-12T13:30:44Z","snapshot_observed_at":"2026-08-15T22:11:52.098849Z","submitted_at":"2025-05-12T13:30:44Z","title":"Towards Requirements Engineering for RAG Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T22:16:06.911318Z"},"links":{"cited_paper":"/paper/2406.04359","citing_paper":"/paper/2505.07553"},"observation_digest":"sha256:374372c157da091e032facf10c27b7e3939d6d5898aebad7db7dcc95e5f45c25","observation_id":"9e2eddf8-4eb4-4e78-b044-722c7fa51c1c","resolution":{"observed_at":"2026-08-15T22:16:06.911318Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04359","last_updated":"2024-05-20T06:59:20Z","snapshot_observed_at":"2026-08-17T04:37:00.065577Z","submitted_at":"2024-05-20T06:59:20Z","title":"Naming the Pain in Machine Learning-Enabled Systems Engineering","version":1},"cited_work":{"arxiv_id":"2406.04359","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.04359","snapshot_observed_at":"2026-08-06T22:46:43.585516Z","title":"Naming the Pain in Machine Learning-Enabled Systems Engineering","venue":"cs.SE","work_id":"3c99d34a-762e-457b-9a43-46bbaadb7299","year":2024},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:42.769625Z"},"links":{"cited_paper":"/paper/2406.04359","citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:0d3cd18bee43a15934504dd4385bdc546fab3e1255488d0203ab4e97e38e79c0","observation_id":"59c36f87-b45d-45ea-a2b1-ca94a321f475","resolution":{"observed_at":"2026-08-06T22:46:43.645532Z","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/2406.04359/citation-record","integrity":"/paper/2406.04359/integrity","json":"/paper/2406.04359/citation-record.json","paper":"/paper/2406.04359"},"outbound":[],"paper":{"arxiv_id":"2406.04359","last_updated":"2024-05-20T06:59:20Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-17T04:37:00.065577Z","submitted_at":"2024-05-20T06:59:20Z","title":"Naming the Pain in Machine Learning-Enabled Systems Engineering"},"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 2 inbound Pith citation observations for arXiv:2406.04359."}