{"as_of":"2026-08-12T08:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:786c9ac711b603e61ca5107685a31071ce179136ca37574f12734a2b07423080","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":"2026-08-12T06:34:41.77262+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":"2026-08-10T23:51:06.963076Z","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":"2026-08-10T23:51:07.161301Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1802.08797","last_updated":"2018-03-27T02:53:58Z","snapshot_observed_at":"2026-08-12T00:56:21.050169Z","submitted_at":"2018-02-24T04:40:06Z","title":"Residual Dense Network for Image Super-Resolution","version":2},"cited_work":{"arxiv_id":"1802.08797","doi":null,"metadata_source":"pith","pith_arxiv_id":"1802.08797","snapshot_observed_at":"2026-08-10T23:51:07.161301Z","title":"Residual Dense Network for Image Super-Resolution","venue":"cs.CV","work_id":"2be6a825-f69b-4aec-8f3f-23069a38f4cf","year":2018},"citing_paper":{"arxiv_id":"2412.19927","last_updated":"2024-12-27T21:22:18Z","snapshot_observed_at":"2026-08-10T23:44:06.057289Z","submitted_at":"2024-12-27T21:22:18Z","title":"Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T23:51:06.963076Z"},"links":{"cited_paper":"/paper/1802.08797","citing_paper":"/paper/2412.19927"},"observation_digest":"sha256:e3d81ba9d9bc7fde6aaf2f9d7f955fd493de1e05d54b404f8845c28a8d666c5b","observation_id":"83ea042b-10c2-443e-b6ba-ffd6297fb26a","resolution":{"observed_at":"2026-08-10T23:51:07.165204Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.08797","last_updated":"2018-03-27T02:53:58Z","snapshot_observed_at":"2026-08-12T00:56:21.050169Z","submitted_at":"2018-02-24T04:40:06Z","title":"Residual Dense Network for Image Super-Resolution","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.08797","snapshot_observed_at":"2026-08-03T16:55:04.979828Z","title":", author Tian, Y","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2512.11524","last_updated":"2026-05-27T10:00:17Z","snapshot_observed_at":"2026-08-11T15:05:55.446980Z","submitted_at":"2025-12-12T12:49:16Z","title":"Super-Resolved Canopy Height Mapping from Sentinel-2 Time Series Using Airborne LiDAR HD Reference Data across Metropolitan France","version":3},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-03T16:55:04.979828Z"},"links":{"cited_paper":"/paper/1802.08797","citing_paper":"/paper/2512.11524"},"observation_digest":"sha256:7668d57be940b13f7858f27928b1fd429fa23f28a8de915d20af8cbb8edefee7","observation_id":"14fb3dc7-3be6-4c18-92b2-d4d0a9a197c8","resolution":{"observed_at":"2026-08-03T16:55:04.979828Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1802.08797/citation-record","integrity":"/paper/1802.08797/integrity","json":"/paper/1802.08797/citation-record.json","paper":"/paper/1802.08797"},"outbound":[],"paper":{"arxiv_id":"1802.08797","last_updated":"2018-03-27T02:53:58Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T00:56:21.050169Z","submitted_at":"2018-02-24T04:40:06Z","title":"Residual Dense Network for Image Super-Resolution"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1802.08797."}