{"as_of":"2026-08-16T13:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:61e736dc381b0442f66ab32a6fa0ae631873310d687d7f28cecd8988f41b39b1","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":"2026-08-16T06:30:59.297886+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":"2026-08-14T12:44:31.752054Z","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":"2026-08-14T12:44:32.044325Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1708.08000","last_updated":"2017-08-26T17:48:20Z","snapshot_observed_at":"2026-08-14T20:38:50.041601Z","submitted_at":"2017-08-26T17:48:20Z","title":"Mining the Demographics of Political Sentiment from Twitter Using Learning from Label Proportions","version":1},"cited_work":{"arxiv_id":"1708.08000","doi":null,"metadata_source":"pith","pith_arxiv_id":"1708.08000","snapshot_observed_at":"2026-08-14T12:44:32.044325Z","title":"Mining the Demographics of Political Sentiment from Twitter Using Learning from Label Proportions","venue":"cs.SI","work_id":"eae121ea-1f49-49fe-bad0-d389749aa004","year":2017},"citing_paper":{"arxiv_id":"1908.06603","last_updated":"2019-08-19T05:56:25Z","snapshot_observed_at":"2026-08-15T00:34:16.330863Z","submitted_at":"2019-08-19T05:56:25Z","title":"Transfer Learning-Based Label Proportions Method with Data of Uncertainty","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:31.752054Z"},"links":{"cited_paper":"/paper/1708.08000","citing_paper":"/paper/1908.06603"},"observation_digest":"sha256:e671c301682f6f7fe23d3e0380f7a2e05de151bdc88e7c6465de70e934bd93f8","observation_id":"9a11133c-5480-40e5-8dbc-4f5342019744","resolution":{"observed_at":"2026-08-14T12:44:32.051660Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1708.08000/citation-record","integrity":"/paper/1708.08000/integrity","json":"/paper/1708.08000/citation-record.json","paper":"/paper/1708.08000"},"outbound":[],"paper":{"arxiv_id":"1708.08000","last_updated":"2017-08-26T17:48:20Z","latest_version":1,"primary_category":"cs.SI","snapshot_observed_at":"2026-08-14T20:38:50.041601Z","submitted_at":"2017-08-26T17:48:20Z","title":"Mining the Demographics of Political Sentiment from Twitter Using Learning from Label Proportions"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1708.08000."}