{"as_of":"2026-08-09T14:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:00d6d358c613fa968afac4e4f297f0acff04d83a5df0877d778bf188cc82296d","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":"2026-08-09T06:31:02.800959+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":"2026-08-06T18:24:51.367032Z","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":"2026-08-06T18:24:53.283304Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1811.04132","last_updated":"2018-11-09T21:00:46Z","snapshot_observed_at":"2026-07-06T07:13:49.181221Z","submitted_at":"2018-11-09T21:00:46Z","title":"Reasoning over RDF Knowledge Bases using Deep Learning","version":1},"cited_work":{"arxiv_id":"1811.04132","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.04132","snapshot_observed_at":"2026-08-06T18:24:53.283304Z","title":"Reasoning over RDF Knowledge Bases using Deep Learning","venue":"cs.LG","work_id":"547f4541-1e77-422e-b202-022ba607a0ac","year":2018},"citing_paper":{"arxiv_id":"2507.08432","last_updated":"2025-07-11T09:18:41Z","snapshot_observed_at":"2026-08-09T14:15:09.598647Z","submitted_at":"2025-07-11T09:18:41Z","title":"xpSHACL: Explainable SHACL Validation using Retrieval-Augmented Generation and Large Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.367032Z"},"links":{"cited_paper":"/paper/1811.04132","citing_paper":"/paper/2507.08432"},"observation_digest":"sha256:74b2fc8b54baa8e25e4ef512345e3fbf99379d600ca9b8a5dfc95a0af379b448","observation_id":"18b5b668-0332-4cc4-a630-eccf8a44b529","resolution":{"observed_at":"2026-08-06T18:24:53.363121Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1811.04132/citation-record","integrity":"/paper/1811.04132/integrity","json":"/paper/1811.04132/citation-record.json","paper":"/paper/1811.04132"},"outbound":[],"paper":{"arxiv_id":"1811.04132","last_updated":"2018-11-09T21:00:46Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T07:13:49.181221Z","submitted_at":"2018-11-09T21:00:46Z","title":"Reasoning over RDF Knowledge Bases using Deep 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1811.04132."}