{"as_of":"2026-08-08T02:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:629987406d81f20a90db569c186963468a68838ac50d2609738662fbc1aa8491","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":"2026-08-07T06:34:17.273281+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":"2026-08-07T01:08:47.081454Z","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":"2026-08-07T01:08:52.656861Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.10198","last_updated":"2025-02-14T03:28:34Z","snapshot_observed_at":"2026-08-07T10:38:10.828749Z","submitted_at":"2024-05-16T15:39:09Z","title":"Comprehensive Causal Machine Learning","version":2},"cited_work":{"arxiv_id":"2405.10198","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.10198","snapshot_observed_at":"2026-08-07T01:08:52.656861Z","title":"Comprehensive Causal Machine Learning","venue":"econ.EM","work_id":"9e241cd9-9ebf-4562-89c9-3feb45024aa2","year":2024},"citing_paper":{"arxiv_id":"2506.11960","last_updated":"2025-06-13T17:11:14Z","snapshot_observed_at":"2026-08-07T00:57:35.444003Z","submitted_at":"2025-06-13T17:11:14Z","title":"Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T01:08:47.081454Z"},"links":{"cited_paper":"/paper/2405.10198","citing_paper":"/paper/2506.11960"},"observation_digest":"sha256:d21b3ea1e8135e63d058d7154b84ff79c6562ae13ea5ead1bf2b62480a46051a","observation_id":"6103f550-187b-48fc-868d-8c67a92995eb","resolution":{"observed_at":"2026-08-07T01:08:52.844654Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.10198/citation-record","integrity":"/paper/2405.10198/integrity","json":"/paper/2405.10198/citation-record.json","paper":"/paper/2405.10198"},"outbound":[],"paper":{"arxiv_id":"2405.10198","last_updated":"2025-02-14T03:28:34Z","latest_version":2,"primary_category":"econ.EM","snapshot_observed_at":"2026-08-07T10:38:10.828749Z","submitted_at":"2024-05-16T15:39:09Z","title":"Comprehensive Causal Machine Learning"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2405.10198."}