{"as_of":"2026-08-18T08:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1b9e304307e741e56dcdbf58926da0f7366788fa531fd6b7d7e7f0e14aaaf98e","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":"2026-08-18T06:34:40.430872+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":"2026-08-15T16:54:14.575584Z","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":"2026-08-06T13:39:46.354824Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2308.06250","last_updated":"2024-03-01T12:57:41Z","snapshot_observed_at":"2026-08-17T16:13:23.045454Z","submitted_at":"2023-08-11T17:33:31Z","title":"Big AI Models for 6G Wireless Networks: Opportunities, Challenges, and Research Directions","version":2},"cited_work":{"arxiv_id":"2308.06250","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.06250","snapshot_observed_at":"2026-08-06T13:39:46.354824Z","title":"Big AI Models for 6G Wireless Networks: Opportunities, Challenges, and Research Directions","venue":"cs.NI","work_id":"18ebac4d-87ca-4c72-b125-c0a88ec4af62","year":2023},"citing_paper":{"arxiv_id":"2507.20444","last_updated":"2025-07-28T00:24:51Z","snapshot_observed_at":"2026-08-06T13:39:43.036663Z","submitted_at":"2025-07-28T00:24:51Z","title":"Enhancing QoS in Edge Computing through Federated Layering Techniques: A Pathway to Resilient AI Lifelong Learning Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:44.204901Z"},"links":{"cited_paper":"/paper/2308.06250","citing_paper":"/paper/2507.20444"},"observation_digest":"sha256:e5b4bcc46af9d9223d65173cf7c3e3c18d08eca149381286e65767461f690e26","observation_id":"fe4053de-745c-456e-8811-944b2b0cc025","resolution":{"observed_at":"2026-08-06T13:39:46.565579Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06250","last_updated":"2024-03-01T12:57:41Z","snapshot_observed_at":"2026-08-17T16:13:23.045454Z","submitted_at":"2023-08-11T17:33:31Z","title":"Big AI Models for 6G Wireless Networks: Opportunities, Challenges, and Research Directions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.06250","snapshot_observed_at":"2026-08-15T16:54:14.575584Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19495","last_updated":"2025-08-27T00:44:47Z","snapshot_observed_at":"2026-08-17T23:22:13.020358Z","submitted_at":"2025-08-27T00:44:47Z","title":"Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T16:54:14.575584Z"},"links":{"cited_paper":"/paper/2308.06250","citing_paper":"/paper/2508.19495"},"observation_digest":"sha256:b1eac6ab895631ac838085ea80a17d613b278c079de5ea2811b1e7f99aa96e7c","observation_id":"699d17cf-d6c6-4617-bef4-fc22aa94a875","resolution":{"observed_at":"2026-08-15T16:54:14.575584Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2308.06250/citation-record","integrity":"/paper/2308.06250/integrity","json":"/paper/2308.06250/citation-record.json","paper":"/paper/2308.06250"},"outbound":[],"paper":{"arxiv_id":"2308.06250","last_updated":"2024-03-01T12:57:41Z","latest_version":2,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-17T16:13:23.045454Z","submitted_at":"2023-08-11T17:33:31Z","title":"Big AI Models for 6G Wireless Networks: Opportunities, Challenges, and Research Directions"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.06250."}