{"as_of":"2026-08-18T06:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f12fae317975595d48774f53b1b423c7193a18e7bf2b30b2b98c3406023cd20e","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:13:28.836649Z","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":"2026-08-07T14:13:34.207346Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1907.06490","last_updated":"2020-01-15T10:49:54Z","snapshot_observed_at":"2026-08-17T23:46:14.274081Z","submitted_at":"2019-07-15T13:21:43Z","title":"DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images","version":2},"cited_work":{"arxiv_id":"1907.06490","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.06490","snapshot_observed_at":"2026-08-07T14:13:34.207346Z","title":"DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images","venue":"eess.IV","work_id":"204a3e39-f16b-4e5a-8066-682435acd154","year":2019},"citing_paper":{"arxiv_id":"2505.19668","last_updated":"2025-05-26T08:24:33Z","snapshot_observed_at":"2026-08-14T09:42:01.291610Z","submitted_at":"2025-05-26T08:24:33Z","title":"Burst Image Super-Resolution via Multi-Cross Attention Encoding and Multi-Scan State-Space Decoding","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:13:28.836649Z"},"links":{"cited_paper":"/paper/1907.06490","citing_paper":"/paper/2505.19668"},"observation_digest":"sha256:004cb44c254380b68376b2ccd829adaa2abfb162525404f5b58e08ac0e952ecc","observation_id":"e2801f75-889c-40fa-9569-f321aa56e845","resolution":{"observed_at":"2026-08-07T14:13:34.295194Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/1907.06490/citation-record","integrity":"/paper/1907.06490/integrity","json":"/paper/1907.06490/citation-record.json","paper":"/paper/1907.06490"},"outbound":[],"paper":{"arxiv_id":"1907.06490","last_updated":"2020-01-15T10:49:54Z","latest_version":2,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-17T23:46:14.274081Z","submitted_at":"2019-07-15T13:21:43Z","title":"DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images"},"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 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1907.06490."}