{"as_of":"2026-08-12T05:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:91d7d6f05c3b91b6a3ca5574e0b930aa6d1832f0a0d2cfcc0b2560d43a73d198","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":"2026-08-11T06:34:44.6726+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":"2026-08-10T13:36:16.031850Z","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":"2026-08-10T13:36:17.145842Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1905.05301","last_updated":"2019-11-15T21:15:22Z","snapshot_observed_at":"2026-07-06T07:52:43.720801Z","submitted_at":"2019-05-13T21:56:37Z","title":"Hierarchically Structured Meta-learning","version":2},"cited_work":{"arxiv_id":"1905.05301","doi":null,"metadata_source":"pith","pith_arxiv_id":"1905.05301","snapshot_observed_at":"2026-08-10T13:36:17.145842Z","title":"Hierarchically Structured Meta-learning","venue":"cs.LG","work_id":"e5167b09-87e1-442c-83b9-b57e1fc92158","year":2019},"citing_paper":{"arxiv_id":"2501.16325","last_updated":"2025-07-31T06:57:11Z","snapshot_observed_at":"2026-08-11T02:47:56.892726Z","submitted_at":"2025-01-27T18:58:04Z","title":"Tailored Forecasting from Short Time Series via Meta-learning","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T13:36:16.031850Z"},"links":{"cited_paper":"/paper/1905.05301","citing_paper":"/paper/2501.16325"},"observation_digest":"sha256:3665936f2f7de9b4d8061df6f15526d18b3aa180cd39e71a7947a04965c3481e","observation_id":"7890cc1b-bd34-43a5-b2c9-218be14aa124","resolution":{"observed_at":"2026-08-10T13:36:17.152141Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1905.05301/citation-record","integrity":"/paper/1905.05301/integrity","json":"/paper/1905.05301/citation-record.json","paper":"/paper/1905.05301"},"outbound":[],"paper":{"arxiv_id":"1905.05301","last_updated":"2019-11-15T21:15:22Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T07:52:43.720801Z","submitted_at":"2019-05-13T21:56:37Z","title":"Hierarchically Structured Meta-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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1905.05301."}