{"as_of":"2026-08-11T17:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:eaf95d7777463d8e4d7ddd5c88961434669184a5a024e75f7955d955c42da862","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":"2026-08-11T06:34:44.6726+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":"2026-07-11T16:03:27.165252Z","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":"2026-07-02T17:07:12.096282Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1709.07223","last_updated":"2017-09-21T09:17:47Z","snapshot_observed_at":"2026-08-04T14:41:34.011018Z","submitted_at":"2017-09-21T09:17:47Z","title":"Convolutional neural networks that teach microscopes how to image","version":1},"cited_work":{"arxiv_id":"1709.07223","doi":null,"metadata_source":"pith","pith_arxiv_id":"1709.07223","snapshot_observed_at":"2026-07-02T17:07:12.096282Z","title":"Convolutional neural networks that teach microscopes how to image","venue":"cs.CV","work_id":"1fde1b49-39ea-4b9a-ac15-bff414e2e222","year":2017},"citing_paper":{"arxiv_id":"2607.00253","last_updated":"2026-06-30T23:01:38Z","snapshot_observed_at":"2026-08-06T03:28:36.619941Z","submitted_at":"2026-06-30T23:01:38Z","title":"ADC-Aware End-to-End Optimization of a Dynamic Metasurface Antenna with Strong Mutual Coupling for Monostatic Scene Classification","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-02T17:06:23.621935Z"},"links":{"cited_paper":"/paper/1709.07223","citing_paper":"/paper/2607.00253"},"observation_digest":"sha256:04d270f38e70774060b2c33f1cd851df72060fc80fa4cc8c6dc1d43ed0ec1f57","observation_id":"4d7cb32d-0d3a-485d-b5a4-0a2ab01091b5","resolution":{"observed_at":"2026-07-02T17:07:12.097616Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1709.07223","last_updated":"2017-09-21T09:17:47Z","snapshot_observed_at":"2026-08-04T14:41:34.011018Z","submitted_at":"2017-09-21T09:17:47Z","title":"Convolutional neural networks that teach microscopes how to image","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.07223","snapshot_observed_at":"2026-07-11T16:03:27.165252Z","title":"Convolutional neural networks that teach microscopes how to image,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.04635","last_updated":"2026-07-06T03:37:16Z","snapshot_observed_at":"2026-08-02T08:25:54.702683Z","submitted_at":"2026-07-06T03:37:16Z","title":"Aperture-aware Dispersion 5-D Light-field Imaging Spectrometer","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-07-11T16:03:27.165252Z"},"links":{"cited_paper":"/paper/1709.07223","citing_paper":"/paper/2607.04635"},"observation_digest":"sha256:8ed00047bcc0827574b525d9675bc2dccb17ed2e6e6e69a2640cf25af62409e7","observation_id":"a01236c4-f534-4ac0-911d-0ed43c36d686","resolution":{"observed_at":"2026-07-11T16:03:27.165252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1709.07223/citation-record","integrity":"/paper/1709.07223/integrity","json":"/paper/1709.07223/citation-record.json","paper":"/paper/1709.07223"},"outbound":[],"paper":{"arxiv_id":"1709.07223","last_updated":"2017-09-21T09:17:47Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T14:41:34.011018Z","submitted_at":"2017-09-21T09:17:47Z","title":"Convolutional neural networks that teach microscopes how to image"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:1709.07223."}