{"as_of":"2026-08-18T19:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9b658616ca58cc7bf8af509c258d2132c2b5066db0812dfd3ac8be5b3c0e262b","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":"2026-08-18T06:34:40.430872+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":"2026-08-07T19:57:35.463787Z","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":"2026-05-12T08:36:26.616073Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.15471","last_updated":"2024-06-15T14:44:43Z","snapshot_observed_at":"2026-08-16T13:42:41.953896Z","submitted_at":"2024-06-15T14:44:43Z","title":"Improving Large Models with Small models: Lower Costs and Better Performance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15471","snapshot_observed_at":"2026-08-07T19:57:35.463787Z","title":"Improving large models with small models: Lower costs and better performance,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.14880","last_updated":"2025-02-14T07:46:49Z","snapshot_observed_at":"2026-08-13T22:19:29.906297Z","submitted_at":"2025-02-14T07:46:49Z","title":"KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T19:57:35.463787Z"},"links":{"cited_paper":"/paper/2406.15471","citing_paper":"/paper/2502.14880"},"observation_digest":"sha256:e9aa3825f18e44738be34d54c8d978bcbe77b45f215c2e5b1c9c889e15587704","observation_id":"a6fb19a8-c12d-45a4-94f7-f30ffb3c6d0d","resolution":{"observed_at":"2026-08-07T19:57:35.463787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15471","last_updated":"2024-06-15T14:44:43Z","snapshot_observed_at":"2026-08-16T13:42:41.953896Z","submitted_at":"2024-06-15T14:44:43Z","title":"Improving Large Models with Small models: Lower Costs and Better Performance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15471","snapshot_observed_at":"2026-08-07T12:16:55.141972Z","title":"arXiv e-prints, pages arXiv–2405","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00200","last_updated":"2025-07-14T09:19:59Z","snapshot_observed_at":"2026-08-13T11:19:24.707998Z","submitted_at":"2025-05-30T20:12:51Z","title":"Structuring Radiology Reports: Challenging LLMs with Lightweight Models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:16:55.141972Z"},"links":{"cited_paper":"/paper/2406.15471","citing_paper":"/paper/2506.00200"},"observation_digest":"sha256:9ccb212b3af3ed8d3b4150448d1a24994a5a9fa338abe55ee5f84ed1583c380d","observation_id":"218db902-3217-4857-8c21-337f085349d6","resolution":{"observed_at":"2026-08-07T12:16:55.141972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15471","last_updated":"2024-06-15T14:44:43Z","snapshot_observed_at":"2026-08-16T13:42:41.953896Z","submitted_at":"2024-06-15T14:44:43Z","title":"Improving Large Models with Small models: Lower Costs and Better Performance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15471","snapshot_observed_at":"2026-08-06T23:11:49.088672Z","title":"Improving Large Models with Small models: Lower Costs and Better Performance[J]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.19567","last_updated":"2025-06-24T12:28:38Z","snapshot_observed_at":"2026-08-09T12:15:18.322826Z","submitted_at":"2025-06-24T12:28:38Z","title":"FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T23:11:49.088672Z"},"links":{"cited_paper":"/paper/2406.15471","citing_paper":"/paper/2506.19567"},"observation_digest":"sha256:0ae495be50056d5d47fbac9c106322108ab7cbc7a50d14dc11926c0f187c4684","observation_id":"f67d2010-7b5e-4e6b-8be6-647660dc659e","resolution":{"observed_at":"2026-08-06T23:11:49.088672Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15471","last_updated":"2024-06-15T14:44:43Z","snapshot_observed_at":"2026-08-16T13:42:41.953896Z","submitted_at":"2024-06-15T14:44:43Z","title":"Improving Large Models with Small models: Lower Costs and Better Performance","version":1},"cited_work":{"arxiv_id":"2406.15471","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.15471","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"397a4eb4-5264-44a1-a583-9f06cb730e22","year":2024},"citing_paper":{"arxiv_id":"2605.08599","last_updated":"2026-05-09T01:41:05Z","snapshot_observed_at":"2026-08-16T08:38:46.822029Z","submitted_at":"2026-05-09T01:41:05Z","title":"What Will Happen Next: Large Models-Driven Deduction for Emergency Instances","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-12T00:53:23.159707Z"},"links":{"cited_paper":"/paper/2406.15471","citing_paper":"/paper/2605.08599"},"observation_digest":"sha256:5bf873582b8c533faa52c2409d6ec0760d572a106260d947e180d346f53de3c0","observation_id":"67c6d40d-f7d0-4a07-b9b6-6e5e88ef0aeb","resolution":{"observed_at":"2026-05-12T08:36:26.619058Z","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/2406.15471/citation-record","integrity":"/paper/2406.15471/integrity","json":"/paper/2406.15471/citation-record.json","paper":"/paper/2406.15471"},"outbound":[],"paper":{"arxiv_id":"2406.15471","last_updated":"2024-06-15T14:44:43Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T13:42:41.953896Z","submitted_at":"2024-06-15T14:44:43Z","title":"Improving Large Models with Small models: Lower Costs and Better Performance"},"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 4 inbound Pith citation observations for arXiv:2406.15471."}