{"as_of":"2026-08-18T12:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f37264ccadcf6a7a7ac018c5e26ec29c373378d1c0e6354f3ef23a045069c72b","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":"2026-08-18T06:34:40.430872+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":"2026-08-09T21:05:49.109728Z","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":"2026-08-07T14:00:55.958595Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1907.12349","last_updated":"2019-07-29T11:53:46Z","snapshot_observed_at":"2026-08-14T16:01:08.694842Z","submitted_at":"2019-07-29T11:53:46Z","title":"PyLops -- A Linear-Operator Python Library for large scale optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.12349","snapshot_observed_at":"2026-08-09T21:05:49.109728Z","title":"and Vasconcelos, I","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2501.19183","last_updated":"2025-01-31T14:46:30Z","snapshot_observed_at":"2026-08-10T15:38:43.386908Z","submitted_at":"2025-01-31T14:46:30Z","title":"Position: Curvature Matrices Should Be Democratized via Linear Operators","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-09T21:05:49.109728Z"},"links":{"cited_paper":"/paper/1907.12349","citing_paper":"/paper/2501.19183"},"observation_digest":"sha256:56cc12950623114fa5b2f94b9c9dbb9450c8ced43f1b7d17b94648b1eed36ddc","observation_id":"189092fe-1ce0-46d3-9e5f-092023ed9722","resolution":{"observed_at":"2026-08-09T21:05:49.109728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.12349","last_updated":"2019-07-29T11:53:46Z","snapshot_observed_at":"2026-08-14T16:01:08.694842Z","submitted_at":"2019-07-29T11:53:46Z","title":"PyLops -- A Linear-Operator Python Library for large scale optimization","version":1},"cited_work":{"arxiv_id":"1907.12349","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.12349","snapshot_observed_at":"2026-08-07T14:00:55.958595Z","title":"PyLops -- A Linear-Operator Python Library for large scale optimization","venue":"cs.MS","work_id":"3913fd02-6974-4388-bccb-95ef920313c3","year":2019},"citing_paper":{"arxiv_id":"2505.20160","last_updated":"2025-06-17T12:45:51Z","snapshot_observed_at":"2026-08-09T02:00:31.933557Z","submitted_at":"2025-05-26T16:04:17Z","title":"DeepInverse: A Python package for solving imaging inverse problems with deep learning","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:48.651120Z"},"links":{"cited_paper":"/paper/1907.12349","citing_paper":"/paper/2505.20160"},"observation_digest":"sha256:8f395feacd1d8f634602afb5184424c38b711c1036ca581339007b13a7718a13","observation_id":"6e55ab37-13d5-4a99-b4f6-b72ad359c169","resolution":{"observed_at":"2026-08-07T14:00:56.059161Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1907.12349/citation-record","integrity":"/paper/1907.12349/integrity","json":"/paper/1907.12349/citation-record.json","paper":"/paper/1907.12349"},"outbound":[],"paper":{"arxiv_id":"1907.12349","last_updated":"2019-07-29T11:53:46Z","latest_version":1,"primary_category":"cs.MS","snapshot_observed_at":"2026-08-14T16:01:08.694842Z","submitted_at":"2019-07-29T11:53:46Z","title":"PyLops -- A Linear-Operator Python Library for large scale optimization"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1907.12349."}