{"as_of":"2026-08-16T01:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fb89d0bbd52aa8749eafa4145f3b8bc7e95f6bc8479822478d382340c9c6c6f1","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":"2026-08-15T06:32:42.880941+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":"2026-08-12T12:28:14.491767Z","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":"2026-08-12T12:28:14.568107Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2308.11578","last_updated":"2023-08-21T13:14:32Z","snapshot_observed_at":"2026-08-13T10:30:27.757155Z","submitted_at":"2023-08-21T13:14:32Z","title":"Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models","version":1},"cited_work":{"arxiv_id":"2308.11578","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.11578","snapshot_observed_at":"2026-08-12T12:28:14.568107Z","title":"Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models","venue":"cs.CL","work_id":"67df2d13-e238-40cb-af54-f58c4b3efe50","year":2023},"citing_paper":{"arxiv_id":"2411.17204","last_updated":"2024-11-28T01:04:40Z","snapshot_observed_at":"2026-08-12T18:21:48.089006Z","submitted_at":"2024-11-26T08:21:24Z","title":"Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks","version":2},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-12T12:28:14.491767Z"},"links":{"cited_paper":"/paper/2308.11578","citing_paper":"/paper/2411.17204"},"observation_digest":"sha256:bb96a81fd8ebccb7e7c5841ca7d8907aba7d08cb8ea2ecd9e46dcd045b0bb9f3","observation_id":"b0630ae1-7a69-41d3-bf94-f602f7489705","resolution":{"observed_at":"2026-08-12T12:28:14.575587Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2308.11578/citation-record","integrity":"/paper/2308.11578/integrity","json":"/paper/2308.11578/citation-record.json","paper":"/paper/2308.11578"},"outbound":[],"paper":{"arxiv_id":"2308.11578","last_updated":"2023-08-21T13:14:32Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-13T10:30:27.757155Z","submitted_at":"2023-08-21T13:14:32Z","title":"Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2308.11578."}