{"as_of":"2026-08-18T14:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1c4d6113848fce17c42911b1d19baba1c2bb7f3df5102f9e4270aa68ce13779a","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":"2026-08-18T06:34:40.430872+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":"2026-06-26T05:24:03.268025Z","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":"2026-07-04T13:19:50.273441Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.06175","last_updated":"2023-01-30T12:37:58Z","snapshot_observed_at":"2026-08-16T16:25:38.772855Z","submitted_at":"2022-10-10T11:08:12Z","title":"Exploring Efficient-tuning Methods in Self-supervised Speech Models","version":3},"cited_work":{"arxiv_id":"2210.06175","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.06175","snapshot_observed_at":"2026-07-04T13:19:50.273441Z","title":"Exploring efficient-tuning methods in self-supervised speech models,","venue":null,"work_id":"e4e85dd6-2e69-4bed-96d3-82e96659c1d5","year":2022},"citing_paper":{"arxiv_id":"2606.26618","last_updated":"2026-06-25T05:27:18Z","snapshot_observed_at":"2026-08-14T10:11:42.221240Z","submitted_at":"2026-06-25T05:27:18Z","title":"Closing the Quality Gap in Low-Resource Text-to-Speech: LoRA Fine-Tuning of VoxCPM2 for Khmer and Korean","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-26T05:24:03.268025Z"},"links":{"cited_paper":"/paper/2210.06175","citing_paper":"/paper/2606.26618"},"observation_digest":"sha256:625d9db77e570c074fb602502fa8f468ad97792a19b21dc6ff7a31c9477dcf4d","observation_id":"c22409bb-a137-43c3-a05a-f735c4f74e2c","resolution":{"observed_at":"2026-07-04T13:19:50.274872Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2210.06175/citation-record","integrity":"/paper/2210.06175/integrity","json":"/paper/2210.06175/citation-record.json","paper":"/paper/2210.06175"},"outbound":[],"paper":{"arxiv_id":"2210.06175","last_updated":"2023-01-30T12:37:58Z","latest_version":3,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-16T16:25:38.772855Z","submitted_at":"2022-10-10T11:08:12Z","title":"Exploring Efficient-tuning Methods in Self-supervised Speech 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":"2026-08-18T06:34:40.430872+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 1 inbound Pith citation observation for arXiv:2210.06175."}