{"as_of":"2026-08-23T11:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:606418fb0fd51328a22bb8e24eedff6e961c6a7c8159112bdd82c28a2862a869","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":"2026-08-23T06:30:58.430688+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":"2026-08-15T14:56:08.350983Z","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":"2026-07-04T10:49:46.892028Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.06172","last_updated":"2025-02-26T21:53:59Z","snapshot_observed_at":"2026-08-19T21:01:54.758174Z","submitted_at":"2024-07-08T17:48:42Z","title":"On Speeding Up Language Model Evaluation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.06172","snapshot_observed_at":"2026-08-07T05:34:27.015178Z","title":"Belardi, Ruihan Wu, Travis Zhang, Carla P","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07673","last_updated":"2026-07-21T11:15:43Z","snapshot_observed_at":"2026-08-20T00:01:27.052071Z","submitted_at":"2025-06-09T11:50:41Z","title":"How Benchmark Prediction from Fewer Data Misses the Mark","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T05:34:27.015178Z"},"links":{"cited_paper":"/paper/2407.06172","citing_paper":"/paper/2506.07673"},"observation_digest":"sha256:5958bebd3bf77950103d1b6ab4d1dc4281c8575ae8918a086d2630198693490b","observation_id":"e8a454e4-155c-44a6-93ef-63ffc29a4e1c","resolution":{"observed_at":"2026-08-07T05:34:27.015178Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.06172","last_updated":"2025-02-26T21:53:59Z","snapshot_observed_at":"2026-08-19T21:01:54.758174Z","submitted_at":"2024-07-08T17:48:42Z","title":"On Speeding Up Language Model Evaluation","version":3},"cited_work":{"arxiv_id":"2407.06172","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.06172","snapshot_observed_at":"2026-07-04T10:49:46.892028Z","title":"On speeding up language model evaluation.arXiv preprint arXiv:2407.06172","venue":null,"work_id":"41adc7ea-4f4f-4cf3-8fa3-0b94ffb9a3f5","year":null},"citing_paper":{"arxiv_id":"2604.06296","last_updated":"2026-04-15T22:45:43Z","snapshot_observed_at":"2026-08-16T05:23:34.054944Z","submitted_at":"2026-04-07T17:13:47Z","title":"AgentOpt v0.1 Technical Report: Client-Side Optimization for LLM-Based Agent","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T19:51:39.564680Z"},"links":{"cited_paper":"/paper/2407.06172","citing_paper":"/paper/2604.06296"},"observation_digest":"sha256:ceca612b8cdd6a94f833702183cc6b48ed124f74c1112e036e4d29ffff58877a","observation_id":"6846db83-9dc0-43c6-9dc2-a3bdefda44f5","resolution":{"observed_at":"2026-05-10T22:25:52.457717Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.06172","last_updated":"2025-02-26T21:53:59Z","snapshot_observed_at":"2026-08-19T21:01:54.758174Z","submitted_at":"2024-07-08T17:48:42Z","title":"On Speeding Up Language Model Evaluation","version":3},"cited_work":{"arxiv_id":"2407.06172","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.06172","snapshot_observed_at":"2026-07-04T10:49:46.892028Z","title":"On speeding up language model evaluation.arXiv preprint arXiv:2407.06172","venue":null,"work_id":"41adc7ea-4f4f-4cf3-8fa3-0b94ffb9a3f5","year":null},"citing_paper":{"arxiv_id":"2606.24020","last_updated":"2026-06-22T23:54:00Z","snapshot_observed_at":"2026-08-12T12:12:38.409836Z","submitted_at":"2026-06-22T23:54:00Z","title":"You Don't Need to Run Every Eval","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-06-26T08:23:12.145516Z"},"links":{"cited_paper":"/paper/2407.06172","citing_paper":"/paper/2606.24020"},"observation_digest":"sha256:c278cfb603048926ce6be4bdbcb128b089ef087152bdcc6c02eb26792d1978a9","observation_id":"1b767ecb-7cb9-4747-9957-2aa48253ca9b","resolution":{"observed_at":"2026-07-04T10:49:46.893880Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.06172","last_updated":"2025-02-26T21:53:59Z","snapshot_observed_at":"2026-08-19T21:01:54.758174Z","submitted_at":"2024-07-08T17:48:42Z","title":"On Speeding Up Language Model Evaluation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.06172","snapshot_observed_at":"2026-08-15T14:56:08.350983Z","title":"Advances in neural information pro ­ cessing systems 36:46595–46623","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.03437","last_updated":"2026-08-04T10:33:04Z","snapshot_observed_at":"2026-08-20T06:03:14.325775Z","submitted_at":"2026-08-04T10:33:04Z","title":"Dynamically Allocating Evaluation Effort for Model Ranking","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:08.350983Z"},"links":{"cited_paper":"/paper/2407.06172","citing_paper":"/paper/2608.03437"},"observation_digest":"sha256:c508bc1c37cc996cdf8806bd610f01720065de08929c211e58126905b4b324b7","observation_id":"e694aa7b-e7d9-4cac-84b6-701bafa4fab4","resolution":{"observed_at":"2026-08-15T14:56:08.350983Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.06172/citation-record","integrity":"/paper/2407.06172/integrity","json":"/paper/2407.06172/citation-record.json","paper":"/paper/2407.06172"},"outbound":[],"paper":{"arxiv_id":"2407.06172","last_updated":"2025-02-26T21:53:59Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-19T21:01:54.758174Z","submitted_at":"2024-07-08T17:48:42Z","title":"On Speeding Up Language Model Evaluation"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.06172."}