{"as_of":"2026-08-07T20:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0b4c3b454ec3627622e910af8df1f33d33927718eb49a0150df7f2a2922e70ce","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":"2026-08-07T06:34:17.273281+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":"2026-08-07T04:43:38.064927Z","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":"2026-08-07T04:43:49.142015Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.09879","last_updated":"2025-06-18T19:19:17Z","snapshot_observed_at":"2026-07-06T18:45:52.286287Z","submitted_at":"2024-07-13T13:03:45Z","title":"sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting","version":4},"cited_work":{"arxiv_id":"2407.09879","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.09879","snapshot_observed_at":"2026-08-07T04:43:49.142015Z","title":"sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting","venue":"cs.CL","work_id":"52d3dba2-b187-4461-bcce-08f61bd95c9e","year":2024},"citing_paper":{"arxiv_id":"2506.09890","last_updated":"2025-06-11T16:00:54Z","snapshot_observed_at":"2026-08-07T04:35:45.359522Z","submitted_at":"2025-06-11T16:00:54Z","title":"The Emergence of Abstract Thought in Large Language Models Beyond Any Language","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T04:43:38.064927Z"},"links":{"cited_paper":"/paper/2407.09879","citing_paper":"/paper/2506.09890"},"observation_digest":"sha256:5ddb3aa0b22870da4041bff3609884091261c66fc69daa43c8011d50d9d8060c","observation_id":"9e3f0367-0bbc-450a-ae1f-5d903a2299a2","resolution":{"observed_at":"2026-08-07T04:43:49.300020Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.09879/citation-record","integrity":"/paper/2407.09879/integrity","json":"/paper/2407.09879/citation-record.json","paper":"/paper/2407.09879"},"outbound":[],"paper":{"arxiv_id":"2407.09879","last_updated":"2025-06-18T19:19:17Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T18:45:52.286287Z","submitted_at":"2024-07-13T13:03:45Z","title":"sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.09879."}