{"as_of":"2026-08-22T03:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0e7d69363d40e8511707a3ac3a6db73fe3415430b9d6924d58aed3a6eaa1e931","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T15:57:43.274800Z","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":"2026-05-25T08:05:30.951793Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2202.07158","last_updated":"2022-02-15T03:07:46Z","snapshot_observed_at":"2026-08-16T17:21:17.091195Z","submitted_at":"2022-02-15T03:07:46Z","title":"Detecting Gravitational-waves from Extreme Mass Ratio Inspirals using Convolutional Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.07158","snapshot_observed_at":"2026-08-11T15:57:43.274800Z","title":"Zhang, C","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.10501","last_updated":"2025-02-16T22:09:02Z","snapshot_observed_at":"2026-08-18T08:01:20.716157Z","submitted_at":"2024-12-13T19:00:02Z","title":"Searching for stellar-origin binary black holes in LISA Data Challenge 1b: Yorsh","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T15:57:43.274800Z"},"links":{"cited_paper":"/paper/2202.07158","citing_paper":"/paper/2412.10501"},"observation_digest":"sha256:897a19adc5d8373ff8c7c818f3239ff71ba5552aea2bd09bfd2af646808820c7","observation_id":"b374a8a7-6cd2-4dd3-bc85-787fea6fffeb","resolution":{"observed_at":"2026-08-11T15:57:43.274800Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.07158","last_updated":"2022-02-15T03:07:46Z","snapshot_observed_at":"2026-08-16T17:21:17.091195Z","submitted_at":"2022-02-15T03:07:46Z","title":"Detecting Gravitational-waves from Extreme Mass Ratio Inspirals using Convolutional Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.07158","snapshot_observed_at":"2026-08-07T14:59:16.638150Z","title":"Zhang, C","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.16795","last_updated":"2026-06-16T15:56:02Z","snapshot_observed_at":"2026-08-14T09:16:03.826739Z","submitted_at":"2025-05-22T15:36:49Z","title":"Sequential simulation-based inference for extreme mass ratio inspirals","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-07T14:59:16.638150Z"},"links":{"cited_paper":"/paper/2202.07158","citing_paper":"/paper/2505.16795"},"observation_digest":"sha256:2bc5bbc21d432e83672d9de0191f96958bac2f8e073bdbf9a74b73b8a6738e34","observation_id":"91fdd36a-9d6e-4b4c-988f-f11318b01e30","resolution":{"observed_at":"2026-08-07T14:59:16.638150Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.07158","last_updated":"2022-02-15T03:07:46Z","snapshot_observed_at":"2026-08-16T17:21:17.091195Z","submitted_at":"2022-02-15T03:07:46Z","title":"Detecting Gravitational-waves from Extreme Mass Ratio Inspirals using Convolutional Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.07158","snapshot_observed_at":"2026-08-07T14:43:24.160550Z","title":"Zhang, C","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.17814","last_updated":"2025-05-23T12:29:46Z","snapshot_observed_at":"2026-08-19T17:11:04.976083Z","submitted_at":"2025-05-23T12:29:46Z","title":"Searching for extreme mass ratio inspirals in LISA: from identification to parameter estimation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:43:24.160550Z"},"links":{"cited_paper":"/paper/2202.07158","citing_paper":"/paper/2505.17814"},"observation_digest":"sha256:0705ef4dd87e027aee2275115df0105dc1c82f8f2e66281cec357d804817e41f","observation_id":"e40d7cfa-3050-4934-8ab1-41ba4a268cd3","resolution":{"observed_at":"2026-08-07T14:43:24.160550Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.07158","last_updated":"2022-02-15T03:07:46Z","snapshot_observed_at":"2026-08-16T17:21:17.091195Z","submitted_at":"2022-02-15T03:07:46Z","title":"Detecting Gravitational-waves from Extreme Mass Ratio Inspirals using Convolutional Neural Networks","version":1},"cited_work":{"arxiv_id":"2202.07158","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.07158","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Zhang, C","venue":null,"work_id":"1c16fe87-f4cf-46d5-916a-ceb06d0575f3","year":2022},"citing_paper":{"arxiv_id":"2510.19047","last_updated":"2026-05-22T11:56:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-21T20:04:46Z","title":"Global time-frequency search for stellar-mass binary black holes in LISA","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-25T08:01:49.461171Z"},"links":{"cited_paper":"/paper/2202.07158","citing_paper":"/paper/2510.19047"},"observation_digest":"sha256:e3d04d9a0cbe3c4ec91df3b9861a2fea3380c7db336be2364afdb0d08641b076","observation_id":"d082261b-7904-4ca0-bebe-5d9fe6da4606","resolution":{"observed_at":"2026-05-25T08:05:30.954217Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2202.07158","last_updated":"2022-02-15T03:07:46Z","snapshot_observed_at":"2026-08-16T17:21:17.091195Z","submitted_at":"2022-02-15T03:07:46Z","title":"Detecting Gravitational-waves from Extreme Mass Ratio Inspirals using Convolutional Neural Networks","version":1},"cited_work":{"arxiv_id":"2202.07158","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.07158","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Zhang, C","venue":null,"work_id":"1c16fe87-f4cf-46d5-916a-ceb06d0575f3","year":2022},"citing_paper":{"arxiv_id":"2604.24330","last_updated":"2026-04-27T11:21:04Z","snapshot_observed_at":"2026-08-11T06:43:12.707302Z","submitted_at":"2026-04-27T11:21:04Z","title":"Pre-localization of Massive Black Hole Binaries in the Millihertz Band","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-08T02:21:19.211958Z"},"links":{"cited_paper":"/paper/2202.07158","citing_paper":"/paper/2604.24330"},"observation_digest":"sha256:bff92d1cf04f155485e912266294888a6869462e0f358d1bb54367c08b481631","observation_id":"0bd81de2-cbea-439e-9572-a1bd71aa2d03","resolution":{"observed_at":"2026-05-11T22:51:22.544487Z","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/2202.07158/citation-record","integrity":"/paper/2202.07158/integrity","json":"/paper/2202.07158/citation-record.json","paper":"/paper/2202.07158"},"outbound":[],"paper":{"arxiv_id":"2202.07158","last_updated":"2022-02-15T03:07:46Z","latest_version":1,"primary_category":"astro-ph.HE","snapshot_observed_at":"2026-08-16T17:21:17.091195Z","submitted_at":"2022-02-15T03:07:46Z","title":"Detecting Gravitational-waves from Extreme Mass Ratio Inspirals using Convolutional Neural Networks"},"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 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2202.07158."}