{"as_of":"2026-08-18T13:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4910c04b3c15091eb8e33cb83c215697261a0b11c7ee947a94c2cc5819122ad7","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T12:36:24.747752Z","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":"2026-05-12T05:31:24.343787Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.01589","last_updated":"2024-10-08T12:23:23Z","snapshot_observed_at":"2026-08-17T05:43:19.773037Z","submitted_at":"2024-06-03T17:59:33Z","title":"Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks","version":2},"cited_work":{"arxiv_id":"2406.01589","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01589","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2406.01589 , year=","venue":null,"work_id":"920fbf79-dc1c-4dc1-a129-0166031887af","year":null},"citing_paper":{"arxiv_id":"2605.10237","last_updated":"2026-05-11T09:11:20Z","snapshot_observed_at":"2026-08-11T08:29:59.040807Z","submitted_at":"2026-05-11T09:11:20Z","title":"The Benefits of Temporal Correlations: SGD Learns k-Juntas from Random Walks Efficiently","version":1},"reference_index":127,"source":"arxiv_source","source_observed_at":"2026-05-12T05:27:11.761971Z"},"links":{"cited_paper":"/paper/2406.01589","citing_paper":"/paper/2605.10237"},"observation_digest":"sha256:df20fbb3c9e87cee85c14806fe32650b393236e41f5728bcbebbe73ef3fdb910","observation_id":"912a02b1-c8c4-46b9-9f9d-91fb4af6e756","resolution":{"observed_at":"2026-05-12T05:31:24.346114Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01589","last_updated":"2024-10-08T12:23:23Z","snapshot_observed_at":"2026-08-17T05:43:19.773037Z","submitted_at":"2024-06-03T17:59:33Z","title":"Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01589","snapshot_observed_at":"2026-07-11T12:36:24.747752Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.04846","last_updated":"2026-07-06T09:18:35Z","snapshot_observed_at":"2026-08-10T17:45:35.878665Z","submitted_at":"2026-07-06T09:18:35Z","title":"Pretraining Curricula Enable Selective Fine-tuning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-11T12:36:24.747752Z"},"links":{"cited_paper":"/paper/2406.01589","citing_paper":"/paper/2607.04846"},"observation_digest":"sha256:3ecba830b0be9b88256c9e2785032b6457dbcd1a91ca637edb0565667a1e93ed","observation_id":"3ebf95e5-2bec-4859-bf43-f417ef6b642b","resolution":{"observed_at":"2026-07-11T12:36:24.747752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.01589/citation-record","integrity":"/paper/2406.01589/integrity","json":"/paper/2406.01589/citation-record.json","paper":"/paper/2406.01589"},"outbound":[],"paper":{"arxiv_id":"2406.01589","last_updated":"2024-10-08T12:23:23Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-17T05:43:19.773037Z","submitted_at":"2024-06-03T17:59:33Z","title":"Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks"},"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 2 inbound Pith citation observations for arXiv:2406.01589."}