{"as_of":"2026-08-21T13:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:63ad9055680ef0daab2aa0f4c126cec116dfbcc984e9aefd5be5300d4ec935cc","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":"2026-08-21T06:32:19.484+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":"2026-08-16T04:14:19.514476Z","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":"2026-05-22T02:20:56.211117Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.03844","last_updated":"2023-09-07T16:58:15Z","snapshot_observed_at":"2026-08-20T03:25:56.805355Z","submitted_at":"2023-09-07T16:58:15Z","title":"Experimental Study of Adversarial Attacks on ML-based xApps in O-RAN","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.03844","snapshot_observed_at":"2026-08-16T04:14:19.514476Z","title":"Experimental study of ad- versarial attacks on ml-based xapps in o-ran.arXiv preprint arXiv:2309.03844, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.01816","last_updated":"2025-05-03T13:19:44Z","snapshot_observed_at":"2026-08-20T06:21:50.176937Z","submitted_at":"2025-05-03T13:19:44Z","title":"Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering xApp","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-16T04:14:19.514476Z"},"links":{"cited_paper":"/paper/2309.03844","citing_paper":"/paper/2505.01816"},"observation_digest":"sha256:75b1ae6fe8125cf174341687346f70e728ab9df968ca6edafe5d6d6b60cacf75","observation_id":"951cc7f1-08bd-483a-a780-529586bce13e","resolution":{"observed_at":"2026-08-16T04:14:19.514476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.03844","last_updated":"2023-09-07T16:58:15Z","snapshot_observed_at":"2026-08-20T03:25:56.805355Z","submitted_at":"2023-09-07T16:58:15Z","title":"Experimental Study of Adversarial Attacks on ML-based xApps in O-RAN","version":1},"cited_work":{"arxiv_id":"2309.03844","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.03844","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2309.03844 , archivePrefix=","venue":null,"work_id":"e8a94b06-3df6-4f98-acdd-cb01f71c17c6","year":null},"citing_paper":{"arxiv_id":"2605.22306","last_updated":"2026-05-21T10:54:57Z","snapshot_observed_at":"2026-08-15T11:32:39.205234Z","submitted_at":"2026-05-21T10:54:57Z","title":"ACCoRD: Actor-Critic Conflict Resolution with Deep learning for O-RAN xApps","version":1},"reference_index":142,"source":"arxiv_source","source_observed_at":"2026-05-22T02:16:37.897274Z"},"links":{"cited_paper":"/paper/2309.03844","citing_paper":"/paper/2605.22306"},"observation_digest":"sha256:c2d37e1b12c1694de308f112a0f5bc452cd94e62c0dc69de00c11fb8d104f4bb","observation_id":"a5787720-2890-4ea2-a522-3284cab680a1","resolution":{"observed_at":"2026-05-22T02:20:56.214011Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.03844/citation-record","integrity":"/paper/2309.03844/integrity","json":"/paper/2309.03844/citation-record.json","paper":"/paper/2309.03844"},"outbound":[],"paper":{"arxiv_id":"2309.03844","last_updated":"2023-09-07T16:58:15Z","latest_version":1,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-20T03:25:56.805355Z","submitted_at":"2023-09-07T16:58:15Z","title":"Experimental Study of Adversarial Attacks on ML-based xApps in O-RAN"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.03844."}