{"as_of":"2026-08-13T13:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d4c6dcab965143197f868715b09ea5c6accff1c1bf7ce38cacec998dc05c2979","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":"2026-08-13T06:32:02.005865+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":"2026-08-09T22:34:45.179795Z","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":"2026-08-09T22:34:45.282165Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.01345","last_updated":"2024-03-31T09:52:25Z","snapshot_observed_at":"2026-08-13T03:20:30.082280Z","submitted_at":"2024-03-31T09:52:25Z","title":"Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques","version":1},"cited_work":{"arxiv_id":"2404.01345","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.01345","snapshot_observed_at":"2026-08-09T22:34:45.282165Z","title":"Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques","venue":"cs.CL","work_id":"331fc5da-6084-48f0-bc13-e893d2ff910d","year":2024},"citing_paper":{"arxiv_id":"2501.18766","last_updated":"2025-01-30T21:41:26Z","snapshot_observed_at":"2026-08-13T09:09:46.249439Z","submitted_at":"2025-01-30T21:41:26Z","title":"Breaking the Fake News Barrier: Deep Learning Approaches in Bangla Language","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T22:34:45.179795Z"},"links":{"cited_paper":"/paper/2404.01345","citing_paper":"/paper/2501.18766"},"observation_digest":"sha256:48118e7b393fbf7cdaa87cecfd277f5274e8b25fe7007465a43139b617dc571b","observation_id":"2a7f83ba-a3f9-498e-81fc-ba4dc1bf6b50","resolution":{"observed_at":"2026-08-09T22:34:45.288298Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2404.01345/citation-record","integrity":"/paper/2404.01345/integrity","json":"/paper/2404.01345/citation-record.json","paper":"/paper/2404.01345"},"outbound":[],"paper":{"arxiv_id":"2404.01345","last_updated":"2024-03-31T09:52:25Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-13T03:20:30.082280Z","submitted_at":"2024-03-31T09:52:25Z","title":"Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2404.01345."}