{"as_of":"2026-08-19T13:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1c3a47e875cc267951fc3bfd2cca10e73cd61edc4865bf5ae67764a77583c45d","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":"2026-08-19T06:32:44.657259+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":"2026-08-09T00:56:03.890208Z","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":"2026-08-09T00:56:03.939318Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1709.01006","last_updated":"2017-09-04T15:34:59Z","snapshot_observed_at":"2026-08-16T06:37:42.337309Z","submitted_at":"2017-09-04T15:34:59Z","title":"Learning Implicit Generative Models Using Differentiable Graph Tests","version":1},"cited_work":{"arxiv_id":"1709.01006","doi":null,"metadata_source":"pith","pith_arxiv_id":"1709.01006","snapshot_observed_at":"2026-08-09T00:56:03.939318Z","title":"Learning Implicit Generative Models Using Differentiable Graph Tests","venue":"stat.ML","work_id":"8824e8f3-c28e-499e-8746-0b4fa1a35677","year":2017},"citing_paper":{"arxiv_id":"2502.03755","last_updated":"2025-02-06T03:37:35Z","snapshot_observed_at":"2026-08-15T23:47:06.791295Z","submitted_at":"2025-02-06T03:37:35Z","title":"Regularization via f-Divergence: An Application to Multi-Oxide Spectroscopic Analysis","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-09T00:56:03.890208Z"},"links":{"cited_paper":"/paper/1709.01006","citing_paper":"/paper/2502.03755"},"observation_digest":"sha256:5d38eadeafc3bcb5ee975c63b056ffaa86af5e3fd4f388a9c27436dad2b10f86","observation_id":"ca602ba8-4b9a-4d6d-8ca9-6ba3db7ed0c4","resolution":{"observed_at":"2026-08-09T00:56:03.944292Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1709.01006/citation-record","integrity":"/paper/1709.01006/integrity","json":"/paper/1709.01006/citation-record.json","paper":"/paper/1709.01006"},"outbound":[],"paper":{"arxiv_id":"1709.01006","last_updated":"2017-09-04T15:34:59Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-16T06:37:42.337309Z","submitted_at":"2017-09-04T15:34:59Z","title":"Learning Implicit Generative Models Using Differentiable Graph Tests"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1709.01006."}