{"as_of":"2026-08-18T11:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:29d9986e71348c78132cdef83e003bea83ea41a464cbdf820f6093717449cb58","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":"2026-08-18T06:34:40.430872+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":"2026-08-16T00:14:32.355445Z","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":"2026-08-16T00:14:32.645900Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2211.01478","last_updated":"2022-12-14T20:17:10Z","snapshot_observed_at":"2026-08-18T07:57:30.325948Z","submitted_at":"2022-10-25T01:22:41Z","title":"A machine learning model to identify corruption in M\\'exico's public procurement contracts","version":2},"cited_work":{"arxiv_id":"2211.01478","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.01478","snapshot_observed_at":"2026-08-16T00:14:32.645900Z","title":"A machine learning model to identify corruption in M\\'exico's public procurement contracts","venue":"cs.CY","work_id":"9d1d408a-a9b4-43d2-88f8-bfd71e78ce2b","year":2022},"citing_paper":{"arxiv_id":"2608.12269","last_updated":"2026-08-12T17:09:14Z","snapshot_observed_at":"2026-08-17T22:34:50.222415Z","submitted_at":"2026-08-12T17:09:14Z","title":"A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T00:14:32.355445Z"},"links":{"cited_paper":"/paper/2211.01478","citing_paper":"/paper/2608.12269"},"observation_digest":"sha256:8960aefd4aa781e15dd6ae11353122f800411d74e287248bd4d9bc15e0c19559","observation_id":"c14f82dd-8035-4420-951e-b01fc9e77274","resolution":{"observed_at":"2026-08-16T00:14:32.654814Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2211.01478/citation-record","integrity":"/paper/2211.01478/integrity","json":"/paper/2211.01478/citation-record.json","paper":"/paper/2211.01478"},"outbound":[],"paper":{"arxiv_id":"2211.01478","last_updated":"2022-12-14T20:17:10Z","latest_version":2,"primary_category":"cs.CY","snapshot_observed_at":"2026-08-18T07:57:30.325948Z","submitted_at":"2022-10-25T01:22:41Z","title":"A machine learning model to identify corruption in M\\'exico's public procurement contracts"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2211.01478."}