{"as_of":"2026-08-11T16:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8f591e81035518dae5f88fc50a138d7febad0ee41f5dfd717ff873469431a38d","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T14:46:06.956027Z","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":"2026-08-10T14:46:07.551275Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.07257","last_updated":"2024-06-11T13:36:19Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T13:36:19Z","title":"Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway","version":1},"cited_work":{"arxiv_id":"2406.07257","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07257","snapshot_observed_at":"2026-08-10T14:46:07.551275Z","title":"Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway","venue":"cs.CL","work_id":"1e94988d-d0c0-46f5-9201-0c3a629b7d09","year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.956027Z"},"links":{"cited_paper":"/paper/2406.07257","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:4b802945d8b098227a34a868b3cf7ce3960110a777f8b76a5adcdbde059a17a0","observation_id":"d623b17f-d524-41cb-b26e-e0a158d665ed","resolution":{"observed_at":"2026-08-10T14:46:07.558290Z","resolver_source":"local_arxiv","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/2406.07257/citation-record","integrity":"/paper/2406.07257/integrity","json":"/paper/2406.07257/citation-record.json","paper":"/paper/2406.07257"},"outbound":[],"paper":{"arxiv_id":"2406.07257","last_updated":"2024-06-11T13:36:19Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T13:36:19Z","title":"Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway"},"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 1 inbound Pith citation observation for arXiv:2406.07257."}