{"as_of":"2026-08-18T20:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ffe764c85ae79a36b79d2abaf99532702350b2eebbde90ee6d37cb447a114e76","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":"2026-08-11T12:41:32.893003Z","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":"2026-08-11T12:41:33.041817Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1912.01730","last_updated":"2020-02-18T03:44:43Z","snapshot_observed_at":"2026-08-16T07:10:12.610495Z","submitted_at":"2019-12-03T22:51:51Z","title":"Distance-Based Learning from Errors for Confidence Calibration","version":2},"cited_work":{"arxiv_id":"1912.01730","doi":null,"metadata_source":"pith","pith_arxiv_id":"1912.01730","snapshot_observed_at":"2026-08-11T12:41:33.041817Z","title":"Distance-Based Learning from Errors for Confidence Calibration","venue":"cs.LG","work_id":"e5f99ab7-5e15-437f-bfc6-95b3c5843aeb","year":2019},"citing_paper":{"arxiv_id":"2412.14223","last_updated":"2025-02-23T13:40:26Z","snapshot_observed_at":"2026-08-15T21:35:31.429148Z","submitted_at":"2024-12-18T15:39:57Z","title":"Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy","version":2},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-11T12:41:32.893003Z"},"links":{"cited_paper":"/paper/1912.01730","citing_paper":"/paper/2412.14223"},"observation_digest":"sha256:c9cb11a4b3520f6a5147908e38f503e98cb5aa965d808fa3d6502be2c1360bf5","observation_id":"f9c4b31a-cd65-40ee-8d18-3756db5ed368","resolution":{"observed_at":"2026-08-11T12:41:33.047648Z","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/1912.01730/citation-record","integrity":"/paper/1912.01730/integrity","json":"/paper/1912.01730/citation-record.json","paper":"/paper/1912.01730"},"outbound":[],"paper":{"arxiv_id":"1912.01730","last_updated":"2020-02-18T03:44:43Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T07:10:12.610495Z","submitted_at":"2019-12-03T22:51:51Z","title":"Distance-Based Learning from Errors for Confidence Calibration"},"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:1912.01730."}