{"as_of":"2026-08-08T09:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8dbf57a9615f824f6f5ee2940e5a45a1d5ae21f5884ffe6253413013f8049672","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T13:40:17.661066Z","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":"2026-08-07T18:16:16.850658Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.12056","last_updated":"2024-07-09T08:22:44Z","snapshot_observed_at":"2026-07-06T18:47:25.751118Z","submitted_at":"2024-07-09T08:22:44Z","title":"Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding","version":1},"cited_work":{"arxiv_id":"2407.12056","doi":"10.48550/arxiv.2407.12056","metadata_source":"pith","pith_arxiv_id":"2407.12056","snapshot_observed_at":"2026-08-07T18:16:16.850658Z","title":"Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding","venue":"eess.IV","work_id":"db3acabe-f8f6-4636-94ea-47958c045b29","year":2024},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-07T13:28:11.259893Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:17.661066Z"},"links":{"cited_paper":"/paper/2407.12056","citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:7bdcd41bb9958fb41f206404dee41b905a18d8d75c41617571e64ca914aecd2f","observation_id":"8817c171-421a-4345-ab5d-120f393fe3ab","resolution":{"observed_at":"2026-08-07T13:40:22.167885Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.12056/citation-record","integrity":"/paper/2407.12056/integrity","json":"/paper/2407.12056/citation-record.json","paper":"/paper/2407.12056"},"outbound":[],"paper":{"arxiv_id":"2407.12056","last_updated":"2024-07-09T08:22:44Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-07-06T18:47:25.751118Z","submitted_at":"2024-07-09T08:22:44Z","title":"Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.12056."}