{"as_of":"2026-08-17T01:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d932f37f46c716c66f33b8bc840e6113b8204706604d816fa538894de37c397c","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T15:20:33.185056Z","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":"2026-08-14T12:55:35.337585Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1805.07640","last_updated":"2018-05-19T19:08:12Z","snapshot_observed_at":"2026-08-16T22:56:04.643384Z","submitted_at":"2018-05-19T19:08:12Z","title":"Comments on \"Momentum fractional LMS for power signal parameter estimation\"","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.07640","snapshot_observed_at":"2026-08-14T15:20:33.185056Z","title":"Comments on","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.01321","last_updated":"2019-08-04T11:47:31Z","snapshot_observed_at":"2026-08-16T10:45:23.438921Z","submitted_at":"2019-08-04T11:47:31Z","title":"Spatio-Temporal RBF Neural Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T15:20:33.185056Z"},"links":{"cited_paper":"/paper/1805.07640","citing_paper":"/paper/1908.01321"},"observation_digest":"sha256:4412a4f9a6eac9aad8b29b00c88b132cc7f5e7d58f8fa0c53f3b26920483efe1","observation_id":"b10f345b-ee75-4947-b274-4724739ee9cf","resolution":{"observed_at":"2026-08-14T15:20:33.185056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.07640","last_updated":"2018-05-19T19:08:12Z","snapshot_observed_at":"2026-08-16T22:56:04.643384Z","submitted_at":"2018-05-19T19:08:12Z","title":"Comments on \"Momentum fractional LMS for power signal parameter estimation\"","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.07640","snapshot_observed_at":"2026-08-14T14:50:14.290080Z","title":"Comments on","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.02510","last_updated":"2019-08-07T10:06:36Z","snapshot_observed_at":"2026-08-14T14:39:19.233387Z","submitted_at":"2019-08-07T10:06:36Z","title":"Quantum Calculus-based Volterra LMS for Nonlinear Channel Estimation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T14:50:14.290080Z"},"links":{"cited_paper":"/paper/1805.07640","citing_paper":"/paper/1908.02510"},"observation_digest":"sha256:5f6d22ecd8bc4addf24d803300426abaa20c3dee9bff6808603529e47c7bfd85","observation_id":"5815b119-6872-4b73-9bfd-f0c36c27f730","resolution":{"observed_at":"2026-08-14T14:50:14.290080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.07640","last_updated":"2018-05-19T19:08:12Z","snapshot_observed_at":"2026-08-16T22:56:04.643384Z","submitted_at":"2018-05-19T19:08:12Z","title":"Comments on \"Momentum fractional LMS for power signal parameter estimation\"","version":1},"cited_work":{"arxiv_id":"1805.07640","doi":null,"metadata_source":"pith","pith_arxiv_id":"1805.07640","snapshot_observed_at":"2026-08-14T12:55:35.337585Z","title":"Comments on \"Momentum fractional LMS for power signal parameter estimation\"","venue":"math.OC","work_id":"0f4c0ffa-8c0c-462d-ba04-6cb1f4506817","year":2018},"citing_paper":{"arxiv_id":"1908.08389","last_updated":"2019-08-17T08:49:42Z","snapshot_observed_at":"2026-08-16T22:34:09.076153Z","submitted_at":"2019-08-17T08:49:42Z","title":"Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T12:55:35.143493Z"},"links":{"cited_paper":"/paper/1805.07640","citing_paper":"/paper/1908.08389"},"observation_digest":"sha256:d5734cd84ce3b033b946cb662efb1ca2d743ced664176c37c7177cfa90612183","observation_id":"b85220c4-addf-4f9b-aa3b-0fbad8192491","resolution":{"observed_at":"2026-08-14T12:55:35.342401Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1805.07640/citation-record","integrity":"/paper/1805.07640/integrity","json":"/paper/1805.07640/citation-record.json","paper":"/paper/1805.07640"},"outbound":[],"paper":{"arxiv_id":"1805.07640","last_updated":"2018-05-19T19:08:12Z","latest_version":1,"primary_category":"math.OC","snapshot_observed_at":"2026-08-16T22:56:04.643384Z","submitted_at":"2018-05-19T19:08:12Z","title":"Comments on \"Momentum fractional LMS for power signal parameter estimation\""},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1805.07640."}