{"as_of":"2026-08-07T20:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:efcfe279a23d4afdb9cb76da0f82a0dae2cb296e971bccee9971dbe7a9077dee","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:25:20.521520Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.06692","last_updated":"2024-07-08T02:52:05Z","snapshot_observed_at":"2026-07-06T17:14:53.706063Z","submitted_at":"2024-01-12T16:56:54Z","title":"An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06692","snapshot_observed_at":"2026-08-07T14:25:20.521520Z","title":"An experimental design framework for label-efficient supervised finetuning of large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19051","last_updated":"2025-05-25T09:08:00Z","snapshot_observed_at":"2026-08-07T14:18:53.273210Z","submitted_at":"2025-05-25T09:08:00Z","title":"Efficient Data Selection at Scale via Influence Distillation","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T14:25:20.521520Z"},"links":{"cited_paper":"/paper/2401.06692","citing_paper":"/paper/2505.19051"},"observation_digest":"sha256:7bcb05e5e11c6a48af56eead3fe8be87bf6f42336bc4733210edffb782454007","observation_id":"17ea860b-5e66-4673-a0b5-82171a40dc6a","resolution":{"observed_at":"2026-08-07T14:25:20.521520Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06692","last_updated":"2024-07-08T02:52:05Z","snapshot_observed_at":"2026-07-06T17:14:53.706063Z","submitted_at":"2024-01-12T16:56:54Z","title":"An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06692","snapshot_observed_at":"2026-08-06T21:49:47.486653Z","title":"Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23342","last_updated":"2025-06-29T17:27:48Z","snapshot_observed_at":"2026-08-06T21:42:54.445264Z","submitted_at":"2025-06-29T17:27:48Z","title":"ATGen: A Framework for Active Text Generation","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T21:49:47.486653Z"},"links":{"cited_paper":"/paper/2401.06692","citing_paper":"/paper/2506.23342"},"observation_digest":"sha256:4827727a2b1e11b7d31cfdb7086668d0eec047eb9dbac08b160f928f57a0cc1b","observation_id":"0d995afe-0be7-454a-860a-0930a3d909bf","resolution":{"observed_at":"2026-08-06T21:49:47.486653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06692","last_updated":"2024-07-08T02:52:05Z","snapshot_observed_at":"2026-07-06T17:14:53.706063Z","submitted_at":"2024-01-12T16:56:54Z","title":"An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06692","snapshot_observed_at":"2026-08-06T12:47:42.920123Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21482","last_updated":"2025-07-29T03:51:00Z","snapshot_observed_at":"2026-08-07T03:35:51.321234Z","submitted_at":"2025-07-29T03:51:00Z","title":"Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T12:47:42.920123Z"},"links":{"cited_paper":"/paper/2401.06692","citing_paper":"/paper/2507.21482"},"observation_digest":"sha256:ed489280aa1d7c56834d333319e864f611c2a03a1a7531c2d717c75da8a98e92","observation_id":"ae3c261c-8784-4f6e-99ba-7bda28ee84e1","resolution":{"observed_at":"2026-08-06T12:47:42.920123Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06692","last_updated":"2024-07-08T02:52:05Z","snapshot_observed_at":"2026-07-06T17:14:53.706063Z","submitted_at":"2024-01-12T16:56:54Z","title":"An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models","version":3},"cited_work":{"arxiv_id":"2401.06692","doi":"10.48550/arxiv.2401.06692","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.06692","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Das, Jifan Zhang, Sang T","venue":"arXiv (Cornell University)","work_id":"127dbb9b-0595-4a2e-85c1-12d97907e420","year":2024},"citing_paper":{"arxiv_id":"2604.11810","last_updated":"2026-04-09T14:08:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-09T14:08:01Z","title":"GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T18:06:46.131725Z"},"links":{"cited_paper":"/paper/2401.06692","citing_paper":"/paper/2604.11810"},"observation_digest":"sha256:41c650319536e9d3ee7dcad4bef64664118fadb0ff53f99f347826316d6a3c65","observation_id":"7058df37-d16b-4192-9ad6-7000d6e7b9d7","resolution":{"observed_at":"2026-05-10T20:30:48.939567Z","resolver_source":"arxiv_id","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/2401.06692/citation-record","integrity":"/paper/2401.06692/integrity","json":"/paper/2401.06692/citation-record.json","paper":"/paper/2401.06692"},"outbound":[],"paper":{"arxiv_id":"2401.06692","last_updated":"2024-07-08T02:52:05Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T17:14:53.706063Z","submitted_at":"2024-01-12T16:56:54Z","title":"An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language 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":"2026-08-07T06:34:17.273281+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 4 inbound Pith citation observations for arXiv:2401.06692."}