{"as_of":"2026-08-08T21:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a479aeea8f2e6120f3a30a8591f05d6a2f4fd94a90f2a44ce608f92a131660c9","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T04:54:50.949266Z","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":"2026-08-07T11:01:31.970908Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.14568","last_updated":"2024-02-22T14:19:56Z","snapshot_observed_at":"2026-08-05T15:00:18.918436Z","submitted_at":"2024-02-22T14:19:56Z","title":"LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14568","snapshot_observed_at":"2026-08-08T04:54:50.949266Z","title":"Llm-da: Data augmentation via large language models for few-shot named entity recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08512","last_updated":"2025-08-14T07:15:48Z","snapshot_observed_at":"2026-08-08T04:46:02.235147Z","submitted_at":"2025-02-12T15:46:34Z","title":"Measuring Diversity in Synthetic Datasets","version":3},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-08T04:54:50.949266Z"},"links":{"cited_paper":"/paper/2402.14568","citing_paper":"/paper/2502.08512"},"observation_digest":"sha256:802f0bb818822aafeb0b0d607b796338ba3880dfbe0489b6cf9ba3383ac63755","observation_id":"3b8dba37-0569-4a98-a88e-6db513a20450","resolution":{"observed_at":"2026-08-08T04:54:50.949266Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14568","last_updated":"2024-02-22T14:19:56Z","snapshot_observed_at":"2026-08-05T15:00:18.918436Z","submitted_at":"2024-02-22T14:19:56Z","title":"LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition","version":1},"cited_work":{"arxiv_id":"2402.14568","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.14568","snapshot_observed_at":"2026-08-07T11:01:31.970908Z","title":"LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition","venue":"cs.CL","work_id":"9c65808c-2407-431f-915e-acbde6294769","year":2024},"citing_paper":{"arxiv_id":"2506.03857","last_updated":"2025-06-04T11:42:37Z","snapshot_observed_at":"2026-08-07T10:51:27.814181Z","submitted_at":"2025-06-04T11:42:37Z","title":"Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T11:01:31.698896Z"},"links":{"cited_paper":"/paper/2402.14568","citing_paper":"/paper/2506.03857"},"observation_digest":"sha256:a0077b6007850f9b9982565584b1360be84f899931dfe4f6bb9953d3bc8089df","observation_id":"110aa6e9-78fb-4ec5-8c1f-5228c68bf326","resolution":{"observed_at":"2026-08-07T11:01:32.025563Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14568","last_updated":"2024-02-22T14:19:56Z","snapshot_observed_at":"2026-08-05T15:00:18.918436Z","submitted_at":"2024-02-22T14:19:56Z","title":"LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14568","snapshot_observed_at":"2026-08-03T00:55:00.014770Z","title":"arXiv preprint arXiv:2402.14568 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.28635","last_updated":"2026-05-19T08:33:01Z","snapshot_observed_at":"2026-08-07T09:02:15.332616Z","submitted_at":"2026-05-19T08:33:01Z","title":"Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T00:55:00.014770Z"},"links":{"cited_paper":"/paper/2402.14568","citing_paper":"/paper/2607.28635"},"observation_digest":"sha256:60b12445e327d5669a76e0272912d10389f28843523ccacc2917ce08c1f76fdf","observation_id":"5922a9a9-8648-4cf7-b116-e7b7d874fc53","resolution":{"observed_at":"2026-08-03T00:55:00.014770Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.14568/citation-record","integrity":"/paper/2402.14568/integrity","json":"/paper/2402.14568/citation-record.json","paper":"/paper/2402.14568"},"outbound":[],"paper":{"arxiv_id":"2402.14568","last_updated":"2024-02-22T14:19:56Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-05T15:00:18.918436Z","submitted_at":"2024-02-22T14:19:56Z","title":"LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition"},"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 3 inbound Pith citation observations for arXiv:2402.14568."}