{"as_of":"2026-08-06T18:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:399bf0b91cf126ce38ab41153add60b31b53f8bf742026ba69ab076422b8d8d9","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":"2026-08-06T06:34:29.942622+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":"2026-05-21T18:20:02.115402Z","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":"2026-05-21T18:20:29.002879Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1807.03361","last_updated":"2018-07-09T19:53:16Z","snapshot_observed_at":"2026-07-06T06:49:14.753521Z","submitted_at":"2018-07-09T19:53:16Z","title":"Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration","version":1},"cited_work":{"arxiv_id":"1807.03361","doi":null,"metadata_source":"pith","pith_arxiv_id":"1807.03361","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration","venue":"cs.CV","work_id":"ef2b16e2-83ed-4ddc-9b05-c5b24019c205","year":2018},"citing_paper":{"arxiv_id":"2511.17392","last_updated":"2026-05-17T12:58:38Z","snapshot_observed_at":"2026-08-02T22:23:28.777332Z","submitted_at":"2025-11-21T16:52:20Z","title":"MorphSeek: Fine-grained Latent Representation-Level Policy Optimization for Deformable Image Registration","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-21T18:20:02.115402Z"},"links":{"cited_paper":"/paper/1807.03361","citing_paper":"/paper/2511.17392"},"observation_digest":"sha256:5d6fbb3111f02a370d24dc818ebc25f0501025766ef8a3a459eb087ecd0d2491","observation_id":"eff07685-e08e-4426-919f-46af42f6e858","resolution":{"observed_at":"2026-05-21T18:20:29.005255Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1807.03361/citation-record","integrity":"/paper/1807.03361/integrity","json":"/paper/1807.03361/citation-record.json","paper":"/paper/1807.03361"},"outbound":[],"paper":{"arxiv_id":"1807.03361","last_updated":"2018-07-09T19:53:16Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T06:49:14.753521Z","submitted_at":"2018-07-09T19:53:16Z","title":"Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1807.03361."}