{"as_of":"2026-08-11T02:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3428b15fe06b876eb875d711512008fbd3fddffe097f9a3f0ba7ede928e28a48","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":"2026-08-02T08:50:38.271598Z","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":"2026-05-25T03:00:15.906029Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2205.12706","last_updated":"2025-02-12T09:33:52Z","snapshot_observed_at":"2026-07-06T13:13:48.138379Z","submitted_at":"2022-05-25T12:02:59Z","title":"Maximum Mean Discrepancy on Exponential Windows for Online Change Detection","version":4},"cited_work":{"arxiv_id":"2205.12706","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.12706","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Maximum mean discrepancy on exponential windows for online change detection","venue":null,"work_id":"34e06428-893e-478e-bbe1-51d49ee7f082","year":2022},"citing_paper":{"arxiv_id":"2605.22886","last_updated":"2026-05-21T02:34:31Z","snapshot_observed_at":"2026-07-06T23:33:09.561760Z","submitted_at":"2026-05-21T02:34:31Z","title":"Resilience Characterization of AI-Native Wireless Receivers via Persistent Homology","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-25T02:58:09.347474Z"},"links":{"cited_paper":"/paper/2205.12706","citing_paper":"/paper/2605.22886"},"observation_digest":"sha256:bcdd56c55f6e2004f702c6bcf4a3645572ac00ec3ca71ba56ce2a78c82de4e80","observation_id":"baadcfbf-cd6b-455f-a2e4-58a393ecea92","resolution":{"observed_at":"2026-05-25T03:00:15.909139Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2205.12706","last_updated":"2025-02-12T09:33:52Z","snapshot_observed_at":"2026-07-06T13:13:48.138379Z","submitted_at":"2022-05-25T12:02:59Z","title":"Maximum Mean Discrepancy on Exponential Windows for Online Change Detection","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.12706","snapshot_observed_at":"2026-08-02T08:50:38.271598Z","title":"MMDEW: Maximum mean discrepancy on exponential windows for online change detection.arXiv preprint arXiv:2205.12706,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21623","last_updated":"2026-07-04T01:39:59Z","snapshot_observed_at":"2026-08-10T13:04:30.002026Z","submitted_at":"2026-07-04T01:39:59Z","title":"Cloud-Native Evaluation-as-a-Service: A Microservices Architecture for Scalable AI Monitoring with Conformal Guarantees","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-02T08:50:38.271598Z"},"links":{"cited_paper":"/paper/2205.12706","citing_paper":"/paper/2607.21623"},"observation_digest":"sha256:582cd5b73c0a495532d492bbd532c081b7b40134643bf6e3f3b8bed15f419ce0","observation_id":"5d48e01a-b058-4dc9-8902-226a153f9444","resolution":{"observed_at":"2026-08-02T08:50:38.271598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2205.12706/citation-record","integrity":"/paper/2205.12706/integrity","json":"/paper/2205.12706/citation-record.json","paper":"/paper/2205.12706"},"outbound":[],"paper":{"arxiv_id":"2205.12706","last_updated":"2025-02-12T09:33:52Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T13:13:48.138379Z","submitted_at":"2022-05-25T12:02:59Z","title":"Maximum Mean Discrepancy on Exponential Windows for Online Change Detection"},"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 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.12706."}