{"as_of":"2026-08-19T18:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:44ad90fb39e376f0fecdf7961506cad2d7e65c2744bbd1cfebc6bedbbb458846","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:02:00.997673Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-21T10:25:00.039768Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.03865","last_updated":"2023-11-29T18:11:49Z","snapshot_observed_at":"2026-08-16T17:36:23.711802Z","submitted_at":"2021-12-07T17:59:10Z","title":"Universalizing Weak Supervision","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.03865","snapshot_observed_at":"2026-08-10T21:02:00.997673Z","title":"Universalizing weak supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.06708","last_updated":"2026-05-25T22:00:48Z","snapshot_observed_at":"2026-08-17T03:31:02.136201Z","submitted_at":"2025-01-12T04:28:14Z","title":"Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights","version":5},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T21:02:00.997673Z"},"links":{"cited_paper":"/paper/2112.03865","citing_paper":"/paper/2501.06708"},"observation_digest":"sha256:40e7431ccf9f80cddcd421a9279269235fa34bb43109e0f6c5a665ca58f60572","observation_id":"b6bce6e5-cd90-404a-88f8-189af4358464","resolution":{"observed_at":"2026-08-10T21:02:00.997673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.03865","last_updated":"2023-11-29T18:11:49Z","snapshot_observed_at":"2026-08-16T17:36:23.711802Z","submitted_at":"2021-12-07T17:59:10Z","title":"Universalizing Weak Supervision","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.03865","snapshot_observed_at":"2026-08-07T00:15:25.630891Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.14912","last_updated":"2025-06-17T18:44:21Z","snapshot_observed_at":"2026-08-08T23:47:54.808989Z","submitted_at":"2025-06-17T18:44:21Z","title":"CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T00:15:25.630891Z"},"links":{"cited_paper":"/paper/2112.03865","citing_paper":"/paper/2506.14912"},"observation_digest":"sha256:bb8fe0121b571f247d18e62fc6d72cc2e87fd85c11785571304448017ccd089d","observation_id":"dc49b69f-0508-4a6f-8ddb-80adf0e63eee","resolution":{"observed_at":"2026-08-07T00:15:25.630891Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.03865","last_updated":"2023-11-29T18:11:49Z","snapshot_observed_at":"2026-08-16T17:36:23.711802Z","submitted_at":"2021-12-07T17:59:10Z","title":"Universalizing Weak Supervision","version":3},"cited_work":{"arxiv_id":"2112.03865","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.03865","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"67b5c9d3-5689-4167-b686-df5770af1ba6","year":null},"citing_paper":{"arxiv_id":"2604.05002","last_updated":"2026-05-19T16:35:24Z","snapshot_observed_at":"2026-08-09T23:40:33.698702Z","submitted_at":"2026-04-05T23:46:49Z","title":"Learning Stable Predictors from Weak Supervision under Distribution Shift","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-14T21:33:38.025113Z"},"links":{"cited_paper":"/paper/2112.03865","citing_paper":"/paper/2604.05002"},"observation_digest":"sha256:d4438c063b721c5aadb17d8536e642325e524477f76cc3a7434965e16cde5067","observation_id":"01e530c5-6b82-4bcf-8b1d-f860553da5bc","resolution":{"observed_at":"2026-05-14T21:38:01.150783Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2112.03865","last_updated":"2023-11-29T18:11:49Z","snapshot_observed_at":"2026-08-16T17:36:23.711802Z","submitted_at":"2021-12-07T17:59:10Z","title":"Universalizing Weak Supervision","version":3},"cited_work":{"arxiv_id":"2112.03865","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.03865","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"67b5c9d3-5689-4167-b686-df5770af1ba6","year":null},"citing_paper":{"arxiv_id":"2604.05002","last_updated":"2026-05-19T16:35:24Z","snapshot_observed_at":"2026-08-09T23:40:33.698702Z","submitted_at":"2026-04-05T23:46:49Z","title":"Learning Stable Predictors from Weak Supervision under Distribution Shift","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-21T10:24:11.232390Z"},"links":{"cited_paper":"/paper/2112.03865","citing_paper":"/paper/2604.05002"},"observation_digest":"sha256:b81904bb55d450cd2ae521b7144f7490b279e746d3a58123d44137f62015dc6e","observation_id":"cccdd7c6-8ffd-4d6d-a748-bf38a73f8f99","resolution":{"observed_at":"2026-05-21T10:25:00.043966Z","resolver_source":"arxiv_id","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/2112.03865/citation-record","integrity":"/paper/2112.03865/integrity","json":"/paper/2112.03865/citation-record.json","paper":"/paper/2112.03865"},"outbound":[],"paper":{"arxiv_id":"2112.03865","last_updated":"2023-11-29T18:11:49Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T17:36:23.711802Z","submitted_at":"2021-12-07T17:59:10Z","title":"Universalizing Weak Supervision"},"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 4 inbound Pith citation observations for arXiv:2112.03865."}