{"as_of":"2026-08-17T12:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b18f5117eb03b82ecfe08580ee1354b1f264fac50492c934129f1c6f3a818a06","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":"2026-08-17T06:30:58.91139+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":"2026-08-15T20:28:21.696083Z","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":"2026-08-15T20:28:24.151763Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2102.04883","last_updated":"2022-06-22T09:45:26Z","snapshot_observed_at":"2026-08-16T18:47:00.437218Z","submitted_at":"2021-02-08T16:25:46Z","title":"Introduction to Machine Learning for the Sciences","version":2},"cited_work":{"arxiv_id":"2102.04883","doi":null,"metadata_source":"pith","pith_arxiv_id":"2102.04883","snapshot_observed_at":"2026-08-15T20:28:24.151763Z","title":"Introduction to Machine Learning for the Sciences","venue":"physics.comp-ph","work_id":"059320ed-9f37-4da7-8ccd-c88d699d37b8","year":2021},"citing_paper":{"arxiv_id":"2505.13042","last_updated":"2025-05-19T12:32:28Z","snapshot_observed_at":"2026-08-15T20:19:00.717105Z","submitted_at":"2025-05-19T12:32:28Z","title":"An introduction to Neural Networks for Physicists","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:21.696083Z"},"links":{"cited_paper":"/paper/2102.04883","citing_paper":"/paper/2505.13042"},"observation_digest":"sha256:62e1d5403ed567ebc4f5c839d4d3688041a67a860e4d4e1059fd8bb860e45306","observation_id":"d0f2d89f-804e-45b1-a21f-f07f2445d72c","resolution":{"observed_at":"2026-08-15T20:28:24.184239Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.04883","last_updated":"2022-06-22T09:45:26Z","snapshot_observed_at":"2026-08-16T18:47:00.437218Z","submitted_at":"2021-02-08T16:25:46Z","title":"Introduction to Machine Learning for the Sciences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.04883","snapshot_observed_at":"2026-08-15T16:17:08.167301Z","title":"Michael Denner","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.08011","last_updated":"2025-09-08T17:07:40Z","snapshot_observed_at":"2026-08-17T02:06:37.021924Z","submitted_at":"2025-09-08T17:07:40Z","title":"Machine learning applications in cold atom quantum simulators","version":1},"reference_index":127,"source":"arxiv_source","source_observed_at":"2026-08-15T16:17:08.167301Z"},"links":{"cited_paper":"/paper/2102.04883","citing_paper":"/paper/2509.08011"},"observation_digest":"sha256:53a1c3020367610fa55da7cffc7334332d5ff36824561401d696c3da5ed4471c","observation_id":"5e9cc572-20a2-46d7-98b3-f040aca46ab7","resolution":{"observed_at":"2026-08-15T16:17:08.167301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2102.04883/citation-record","integrity":"/paper/2102.04883/integrity","json":"/paper/2102.04883/citation-record.json","paper":"/paper/2102.04883"},"outbound":[],"paper":{"arxiv_id":"2102.04883","last_updated":"2022-06-22T09:45:26Z","latest_version":2,"primary_category":"physics.comp-ph","snapshot_observed_at":"2026-08-16T18:47:00.437218Z","submitted_at":"2021-02-08T16:25:46Z","title":"Introduction to Machine Learning for the Sciences"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.04883."}