{"as_of":"2026-08-09T18:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2c1ccad9dfc3529c352212888dbe16239136115ea7a30b824da0973634e15e06","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T15:31:48.982126Z","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":"2026-08-06T16:43:04.788572Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.01613","last_updated":"2022-10-04T13:54:29Z","snapshot_observed_at":"2026-08-05T14:36:24.813251Z","submitted_at":"2022-10-04T13:54:29Z","title":"Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.01613","snapshot_observed_at":"2026-08-07T15:31:48.982126Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.21512","last_updated":"2025-05-20T18:54:59Z","snapshot_observed_at":"2026-08-07T15:26:40.408076Z","submitted_at":"2025-05-20T18:54:59Z","title":"The Role of Visualization in LLM-Assisted Knowledge Graph Systems: Effects on User Trust, Exploration, and Workflows","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:48.982126Z"},"links":{"cited_paper":"/paper/2210.01613","citing_paper":"/paper/2505.21512"},"observation_digest":"sha256:ebc5789b5213d9213fbfb0244bd99fdc06f5a3df02f9c6723bf3784737915dd2","observation_id":"72f06f35-7db5-4e47-adc5-d581d237122f","resolution":{"observed_at":"2026-08-07T15:31:48.982126Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.01613","last_updated":"2022-10-04T13:54:29Z","snapshot_observed_at":"2026-08-05T14:36:24.813251Z","submitted_at":"2022-10-04T13:54:29Z","title":"Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.01613","snapshot_observed_at":"2026-08-06T22:46:42.192719Z","title":"Mintaka: A complex, natural, and multilingual dataset for end-to-end question answering, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.20920","last_updated":"2025-06-26T01:01:47Z","snapshot_observed_at":"2026-08-07T23:54:52.849436Z","submitted_at":"2025-06-26T01:01:47Z","title":"FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-08-06T22:46:42.192719Z"},"links":{"cited_paper":"/paper/2210.01613","citing_paper":"/paper/2506.20920"},"observation_digest":"sha256:c8054649b5cabf27ee8dd5072399a8cf5d6f938a9b26b364165aeda42dddc264","observation_id":"8f76eddb-8eb6-4b46-a375-2dc8251a7cbd","resolution":{"observed_at":"2026-08-06T22:46:42.192719Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.01613","last_updated":"2022-10-04T13:54:29Z","snapshot_observed_at":"2026-08-05T14:36:24.813251Z","submitted_at":"2022-10-04T13:54:29Z","title":"Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering","version":1},"cited_work":{"arxiv_id":"2210.01613","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.01613","snapshot_observed_at":"2026-08-06T16:43:04.788572Z","title":"Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering","venue":"cs.CL","work_id":"43290c8d-7e3c-48fd-b251-1b8f484e165f","year":2022},"citing_paper":{"arxiv_id":"2507.13411","last_updated":"2025-07-17T08:15:50Z","snapshot_observed_at":"2026-08-09T03:45:29.465492Z","submitted_at":"2025-07-17T08:15:50Z","title":"Aligning Knowledge Graphs and Language Models for Factual Accuracy","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T16:43:03.206243Z"},"links":{"cited_paper":"/paper/2210.01613","citing_paper":"/paper/2507.13411"},"observation_digest":"sha256:9b5099c80139832497ca1316cecad47989a97c80674198859b3d63c7bc7c4725","observation_id":"aabe7ffb-3628-4978-a9b8-7e684ec291c5","resolution":{"observed_at":"2026-08-06T16:43:04.847746Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.01613","last_updated":"2022-10-04T13:54:29Z","snapshot_observed_at":"2026-08-05T14:36:24.813251Z","submitted_at":"2022-10-04T13:54:29Z","title":"Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.01613","snapshot_observed_at":"2026-08-04T09:18:05.725787Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.16302","last_updated":"2026-06-02T13:42:15Z","snapshot_observed_at":"2026-08-08T00:38:02.707591Z","submitted_at":"2025-10-18T02:19:11Z","title":"DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T09:18:05.725787Z"},"links":{"cited_paper":"/paper/2210.01613","citing_paper":"/paper/2510.16302"},"observation_digest":"sha256:5dfdbf0e6d2009bd353eeb5d9856187d8a47f1840b9e2798c9f614e501031619","observation_id":"06d81b2d-a84c-4d06-b128-3d448843dc60","resolution":{"observed_at":"2026-08-04T09:18:05.725787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2210.01613/citation-record","integrity":"/paper/2210.01613/integrity","json":"/paper/2210.01613/citation-record.json","paper":"/paper/2210.01613"},"outbound":[],"paper":{"arxiv_id":"2210.01613","last_updated":"2022-10-04T13:54:29Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-05T14:36:24.813251Z","submitted_at":"2022-10-04T13:54:29Z","title":"Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2210.01613."}