{"as_of":"2026-08-11T04:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5840e4864f34029a4d23e7755ffeb9d1343612ccd46d60f2be0951b64a580d63","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T08:50:38.683183Z","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":"2026-05-15T02:39:33.496687Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.00588","last_updated":"2024-06-05T06:43:16Z","snapshot_observed_at":"2026-08-06T16:38:25.539639Z","submitted_at":"2023-12-31T21:15:54Z","title":"Fairness in Serving Large Language Models","version":2},"cited_work":{"arxiv_id":"2401.00588","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.00588","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fairness in serving large language models","venue":null,"work_id":"42305fb9-e647-4aab-b47e-de0c9558dfc2","year":2024},"citing_paper":{"arxiv_id":"2312.07104","last_updated":"2024-06-06T00:10:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-12T09:34:27Z","title":"SGLang: Efficient Execution of Structured Language Model Programs","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-12T08:20:01.011625Z"},"links":{"cited_paper":"/paper/2401.00588","citing_paper":"/paper/2312.07104"},"observation_digest":"sha256:13d3874f3cc6b372f34e42a54e3281572d53132f59c4b8ea731fcfd487775f38","observation_id":"d50df4e9-57fb-45d3-a95e-ca3f44752149","resolution":{"observed_at":"2026-05-12T08:20:01.089977Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.00588","last_updated":"2024-06-05T06:43:16Z","snapshot_observed_at":"2026-08-06T16:38:25.539639Z","submitted_at":"2023-12-31T21:15:54Z","title":"Fairness in Serving Large Language Models","version":2},"cited_work":{"arxiv_id":"2401.00588","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.00588","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fairness in serving large language models","venue":null,"work_id":"42305fb9-e647-4aab-b47e-de0c9558dfc2","year":2024},"citing_paper":{"arxiv_id":"2404.14294","last_updated":"2024-07-19T04:47:36Z","snapshot_observed_at":"2026-07-06T18:03:47.096406Z","submitted_at":"2024-04-22T15:53:08Z","title":"A Survey on Efficient Inference for Large Language Models","version":3},"reference_index":281,"source":"pdf_text","source_observed_at":"2026-05-15T02:39:33.007894Z"},"links":{"cited_paper":"/paper/2401.00588","citing_paper":"/paper/2404.14294"},"observation_digest":"sha256:037040fceda1bb808f2673d4a6323ded6ac3402deabb1b250e56cdeba0518683","observation_id":"2da878d7-ca31-4376-94ea-3a608ead07be","resolution":{"observed_at":"2026-05-15T02:39:33.500590Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.00588","last_updated":"2024-06-05T06:43:16Z","snapshot_observed_at":"2026-08-06T16:38:25.539639Z","submitted_at":"2023-12-31T21:15:54Z","title":"Fairness in Serving Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.00588","snapshot_observed_at":"2026-08-02T08:50:38.683183Z","title":"Liangjie Su et al","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21623","last_updated":"2026-07-04T01:39:59Z","snapshot_observed_at":"2026-08-10T13:04:30.002026Z","submitted_at":"2026-07-04T01:39:59Z","title":"Cloud-Native Evaluation-as-a-Service: A Microservices Architecture for Scalable AI Monitoring with Conformal Guarantees","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T08:50:38.683183Z"},"links":{"cited_paper":"/paper/2401.00588","citing_paper":"/paper/2607.21623"},"observation_digest":"sha256:8dea3a0603ff742ffabb71ac27f12d3010dc0d4f4268e2d289f583e56cf5ec4f","observation_id":"1c3914df-d865-4428-a381-3904f6a48783","resolution":{"observed_at":"2026-08-02T08:50:38.683183Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.00588/citation-record","integrity":"/paper/2401.00588/integrity","json":"/paper/2401.00588/citation-record.json","paper":"/paper/2401.00588"},"outbound":[],"paper":{"arxiv_id":"2401.00588","last_updated":"2024-06-05T06:43:16Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-06T16:38:25.539639Z","submitted_at":"2023-12-31T21:15:54Z","title":"Fairness in Serving 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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.00588."}