{"as_of":"2026-08-13T18:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:23b02cd5a394b5b2a4d2f216a8ee4eb31c1ca173e82be05ce0d22ab8ef745be1","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:56:34.073212Z","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":"2026-05-21T22:54:24.619410Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.13507","last_updated":"2025-03-13T19:35:40Z","snapshot_observed_at":"2026-08-07T17:05:49.568835Z","submitted_at":"2025-03-13T19:35:40Z","title":"NeurIPS 2023 LLM Efficiency Fine-tuning Competition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.13507","snapshot_observed_at":"2026-08-07T11:56:34.073212Z","title":"NeurIPS 2023 LLM efficiency fine-tuning competition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.02058","last_updated":"2025-06-01T15:32:44Z","snapshot_observed_at":"2026-08-11T19:05:19.481948Z","submitted_at":"2025-06-01T15:32:44Z","title":"Evaluating the Unseen Capabilities: How Many Theorems Do LLMs Know?","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T11:56:34.073212Z"},"links":{"cited_paper":"/paper/2503.13507","citing_paper":"/paper/2506.02058"},"observation_digest":"sha256:b9f2fdd678ba0cd87f518221013ccafe8459c9de018b6908d5f054bdc2869670","observation_id":"af1bb3c2-8c34-48f4-ba7e-f3450f84ede4","resolution":{"observed_at":"2026-08-07T11:56:34.073212Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.13507","last_updated":"2025-03-13T19:35:40Z","snapshot_observed_at":"2026-08-07T17:05:49.568835Z","submitted_at":"2025-03-13T19:35:40Z","title":"NeurIPS 2023 LLM Efficiency Fine-tuning Competition","version":1},"cited_work":{"arxiv_id":"2503.13507","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.13507","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Neurips 2023 llm efficiency fine-tuning competition","venue":null,"work_id":"fed7a6f7-a7fe-42a4-8462-68a8f9aee2e1","year":2023},"citing_paper":{"arxiv_id":"2509.12266","last_updated":"2026-05-14T18:59:32Z","snapshot_observed_at":"2026-08-02T17:48:25.757044Z","submitted_at":"2025-09-13T03:31:55Z","title":"Genome-Factory: A Library for Tuning, Deploying, and Interpreting Genomic Foundation Models","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-05-21T22:53:17.022646Z"},"links":{"cited_paper":"/paper/2503.13507","citing_paper":"/paper/2509.12266"},"observation_digest":"sha256:1fee620420761b552e1f1e80c4155bb297ac2489925b86f7bd7b81962cc96d01","observation_id":"c58d737b-c175-44a5-beb3-cbe19375ddcf","resolution":{"observed_at":"2026-05-21T22:54:24.622639Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.13507/citation-record","integrity":"/paper/2503.13507/integrity","json":"/paper/2503.13507/citation-record.json","paper":"/paper/2503.13507"},"outbound":[],"paper":{"arxiv_id":"2503.13507","last_updated":"2025-03-13T19:35:40Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T17:05:49.568835Z","submitted_at":"2025-03-13T19:35:40Z","title":"NeurIPS 2023 LLM Efficiency Fine-tuning Competition"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.13507."}