{"as_of":"2026-08-11T07:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:be16766cd5bf1f52443177a5849d77bcd55b1861135b83e0ed745b3f915821e1","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:51:52.750466Z","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":"2026-07-02T02:36:27.434263Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.08808","last_updated":"2024-08-20T02:32:58Z","snapshot_observed_at":"2026-07-06T19:01:36.868186Z","submitted_at":"2024-08-16T15:41:43Z","title":"Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge","version":3},"cited_work":{"arxiv_id":"2408.08808","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.08808","snapshot_observed_at":"2026-07-02T02:36:27.434263Z","title":"arXiv:2408.08808","venue":null,"work_id":"db939339-860b-4d0f-b33f-a10350aeddec","year":2024},"citing_paper":{"arxiv_id":"2411.15594","last_updated":"2025-10-19T10:32:43Z","snapshot_observed_at":"2026-08-02T10:23:50.881300Z","submitted_at":"2024-11-23T16:03:35Z","title":"A Survey on LLM-as-a-Judge","version":6},"reference_index":120,"source":"pdf_text","source_observed_at":"2026-05-23T17:33:13.394338Z"},"links":{"cited_paper":"/paper/2408.08808","citing_paper":"/paper/2411.15594"},"observation_digest":"sha256:9cf52e7d941af8766d6b7e06e621f21b3863f59e6793a3f7049eb8ff86571c28","observation_id":"851c67ec-feeb-488c-aea2-44d22c07a26c","resolution":{"observed_at":"2026-05-23T17:35:43.951672Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08808","last_updated":"2024-08-20T02:32:58Z","snapshot_observed_at":"2026-07-06T19:01:36.868186Z","submitted_at":"2024-08-16T15:41:43Z","title":"Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge","version":3},"cited_work":{"arxiv_id":"2408.08808","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.08808","snapshot_observed_at":"2026-07-02T02:36:27.434263Z","title":"arXiv:2408.08808","venue":null,"work_id":"db939339-860b-4d0f-b33f-a10350aeddec","year":2024},"citing_paper":{"arxiv_id":"2412.05579","last_updated":"2024-12-10T05:49:12Z","snapshot_observed_at":"2026-07-31T01:42:39.468673Z","submitted_at":"2024-12-07T08:07:24Z","title":"LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods","version":2},"reference_index":191,"source":"pdf_text","source_observed_at":"2026-05-11T23:08:34.312466Z"},"links":{"cited_paper":"/paper/2408.08808","citing_paper":"/paper/2412.05579"},"observation_digest":"sha256:d9797117de4b7ed9e0076bbfb425c6364bb913ca8674b7ac70c2d9335c5d3621","observation_id":"4aec9680-629e-4283-b8bc-45e09261fb09","resolution":{"observed_at":"2026-05-11T23:08:34.651161Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08808","last_updated":"2024-08-20T02:32:58Z","snapshot_observed_at":"2026-07-06T19:01:36.868186Z","submitted_at":"2024-08-16T15:41:43Z","title":"Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.08808","snapshot_observed_at":"2026-08-10T20:51:52.750466Z","title":"Constructi ng domain-speciﬁc evaluation sets for llm-as-a-judge,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.03472","last_updated":"2025-01-12T16:20:40Z","snapshot_observed_at":"2026-08-11T05:26:52.815062Z","submitted_at":"2025-01-12T16:20:40Z","title":"Powering LLM Regulation through Data: Bridging the Gap from Compute Thresholds to Customer Experiences","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T20:51:52.750466Z"},"links":{"cited_paper":"/paper/2408.08808","citing_paper":"/paper/2502.03472"},"observation_digest":"sha256:06458f10a4d54fdec924b13014cdf0e507a59872ffd2dd3f94c033bfffc24b03","observation_id":"6c8d3e87-a505-4894-8225-8bfc32a0d4bb","resolution":{"observed_at":"2026-08-10T20:51:52.750466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08808","last_updated":"2024-08-20T02:32:58Z","snapshot_observed_at":"2026-07-06T19:01:36.868186Z","submitted_at":"2024-08-16T15:41:43Z","title":"Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.08808","snapshot_observed_at":"2026-08-08T16:14:57.479008Z","title":"Constructing domain-specific evalua- tion sets for llm-as-a-judge","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.10441","last_updated":"2025-02-10T09:19:52Z","snapshot_observed_at":"2026-08-09T03:38:18.194039Z","submitted_at":"2025-02-10T09:19:52Z","title":"AI Alignment at Your Discretion","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-08T16:14:57.479008Z"},"links":{"cited_paper":"/paper/2408.08808","citing_paper":"/paper/2502.10441"},"observation_digest":"sha256:e29cb5c61b75a312d1a8f300edfc230b626a1bd9be6e3aa8666b0db9f9e01a2b","observation_id":"4f27e840-ed48-4081-b638-a4dbc9f94157","resolution":{"observed_at":"2026-08-08T16:14:57.479008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08808","last_updated":"2024-08-20T02:32:58Z","snapshot_observed_at":"2026-07-06T19:01:36.868186Z","submitted_at":"2024-08-16T15:41:43Z","title":"Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.08808","snapshot_observed_at":"2026-08-06T22:56:34.674305Z","title":"Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.20274","last_updated":"2025-06-25T09:34:25Z","snapshot_observed_at":"2026-08-07T12:25:51.783364Z","submitted_at":"2025-06-25T09:34:25Z","title":"Enterprise Large Language Model Evaluation Benchmark","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T22:56:34.674305Z"},"links":{"cited_paper":"/paper/2408.08808","citing_paper":"/paper/2506.20274"},"observation_digest":"sha256:f24b88ac141cba8afe28a1212ab00eec2b93e4cb8a2a9d1c708042dd8c7cc248","observation_id":"4fdc0035-c199-4ab5-a018-885e7c3b3cd1","resolution":{"observed_at":"2026-08-06T22:56:34.674305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08808","last_updated":"2024-08-20T02:32:58Z","snapshot_observed_at":"2026-07-06T19:01:36.868186Z","submitted_at":"2024-08-16T15:41:43Z","title":"Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge","version":3},"cited_work":{"arxiv_id":"2408.08808","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.08808","snapshot_observed_at":"2026-07-02T02:36:27.434263Z","title":"arXiv:2408.08808","venue":null,"work_id":"db939339-860b-4d0f-b33f-a10350aeddec","year":2024},"citing_paper":{"arxiv_id":"2508.05452","last_updated":"2026-04-15T14:48:07Z","snapshot_observed_at":"2026-07-06T22:09:28.204393Z","submitted_at":"2025-08-07T14:46:30Z","title":"LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models","version":7},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-19T00:39:02.015913Z"},"links":{"cited_paper":"/paper/2408.08808","citing_paper":"/paper/2508.05452"},"observation_digest":"sha256:100193de77cf40e66f7595148263739e7be38f7f822a8cd3d53aafc2ecd9b159","observation_id":"f6561b71-fc11-4d01-bc47-dcf706c93cf2","resolution":{"observed_at":"2026-05-19T00:41:55.985356Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08808","last_updated":"2024-08-20T02:32:58Z","snapshot_observed_at":"2026-07-06T19:01:36.868186Z","submitted_at":"2024-08-16T15:41:43Z","title":"Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge","version":3},"cited_work":{"arxiv_id":"2408.08808","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.08808","snapshot_observed_at":"2026-07-02T02:36:27.434263Z","title":"arXiv:2408.08808","venue":null,"work_id":"db939339-860b-4d0f-b33f-a10350aeddec","year":2024},"citing_paper":{"arxiv_id":"2606.03650","last_updated":"2026-06-04T10:01:47Z","snapshot_observed_at":"2026-08-06T12:17:15.155456Z","submitted_at":"2026-06-02T13:41:43Z","title":"CoEval: Ranking Language Models for Custom Tasks Without Labeled Data or Trustworthy Benchmarks","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-28T10:46:24.554332Z"},"links":{"cited_paper":"/paper/2408.08808","citing_paper":"/paper/2606.03650"},"observation_digest":"sha256:7a73a22876c1c4a444aa9965af522c4c4b8919b348cc7305f81311a3d5ad3843","observation_id":"615fee28-b7c6-4363-a9b4-0f3914f2d9c3","resolution":{"observed_at":"2026-07-02T02:36:27.435589Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.08808/citation-record","integrity":"/paper/2408.08808/integrity","json":"/paper/2408.08808/citation-record.json","paper":"/paper/2408.08808"},"outbound":[],"paper":{"arxiv_id":"2408.08808","last_updated":"2024-08-20T02:32:58Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T19:01:36.868186Z","submitted_at":"2024-08-16T15:41:43Z","title":"Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.08808."}