{"as_of":"2026-08-10T17:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:58d216779db53bc884631a9d0e60d57e8a1d7e57eb53af86b8931b18d1a93384","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":"2026-08-10T06:31:04.303077+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":"2026-08-09T16:31:17.738170Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-04T23:34:32.353871Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.11493","last_updated":"2024-05-29T17:39:47Z","snapshot_observed_at":"2026-08-10T11:50:51.174632Z","submitted_at":"2024-02-18T07:48:15Z","title":"Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.11493","snapshot_observed_at":"2026-08-09T16:31:17.738170Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.01142","last_updated":"2025-06-08T17:17:01Z","snapshot_observed_at":"2026-08-09T23:46:19.631522Z","submitted_at":"2025-02-03T08:22:45Z","title":"DeepRAG: Thinking to Retrieve Step by Step for Large Language Models","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-09T16:31:17.738170Z"},"links":{"cited_paper":"/paper/2402.11493","citing_paper":"/paper/2502.01142"},"observation_digest":"sha256:0f0dc183a7fb601aa921d062e996eb0054f02d9bf9059473e9b687c8f5371ae3","observation_id":"c7eef821-329f-470b-81e7-932c3f3c5410","resolution":{"observed_at":"2026-08-09T16:31:17.738170Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11493","last_updated":"2024-05-29T17:39:47Z","snapshot_observed_at":"2026-08-10T11:50:51.174632Z","submitted_at":"2024-02-18T07:48:15Z","title":"Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation","version":2},"cited_work":{"arxiv_id":"2402.11493","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.11493","snapshot_observed_at":"2026-08-04T23:34:32.353871Z","title":"Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation","venue":"cs.CL","work_id":"391b3563-c8d7-4cc2-af79-671b672af9ea","year":2024},"citing_paper":{"arxiv_id":"2509.06472","last_updated":"2025-09-09T08:54:11Z","snapshot_observed_at":"2026-08-09T19:12:00.821489Z","submitted_at":"2025-09-08T09:37:20Z","title":"Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T23:34:29.219355Z"},"links":{"cited_paper":"/paper/2402.11493","citing_paper":"/paper/2509.06472"},"observation_digest":"sha256:3b9cf2479835ac9eb36d297d3c12bb18603d69f1d05e2679c0fbca4d34a35e6a","observation_id":"30222594-8da4-4c99-bff5-a8c74e2ba688","resolution":{"observed_at":"2026-08-04T23:34:32.358622Z","resolver_source":"local_arxiv","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"}}],"links":{"evidence":"/evidence","html":"/paper/2402.11493/citation-record","integrity":"/paper/2402.11493/integrity","json":"/paper/2402.11493/citation-record.json","paper":"/paper/2402.11493"},"outbound":[],"paper":{"arxiv_id":"2402.11493","last_updated":"2024-05-29T17:39:47Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-10T11:50:51.174632Z","submitted_at":"2024-02-18T07:48:15Z","title":"Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on 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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.11493."}