{"as_of":"2026-08-17T05:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:53fe92727d80ed5cc822043cc3df58def491df929c9ab6038d8ee95d6eb46260","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":"2026-08-16T06:30:59.297886+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":"2026-08-06T22:05:07.899580Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-10T05:30:23.456663Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-10T05:30:23.456663Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2105.13277","last_updated":"2021-05-27T16:22:44Z","snapshot_observed_at":"2026-08-16T18:21:44.845549Z","submitted_at":"2021-05-27T16:22:44Z","title":"MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representation","version":1},"cited_work":{"arxiv_id":"2105.13277","doi":"10.48550/arxiv.2105.13277","metadata_source":"pith","pith_arxiv_id":"2105.13277","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representation","venue":"cs.GR","work_id":"d0c57fc5-c5b4-4550-a815-c08a2d09bc0a","year":2021},"citing_paper":{"arxiv_id":"2506.22662","last_updated":"2025-06-27T22:07:54Z","snapshot_observed_at":"2026-08-08T18:05:02.874279Z","submitted_at":"2025-06-27T22:07:54Z","title":"AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T22:05:07.899580Z"},"links":{"cited_paper":"/paper/2105.13277","citing_paper":"/paper/2506.22662"},"observation_digest":"sha256:eef7122ae4dd64b3f165ea7c075ad078ea297e083f4c799838652b2792b4302b","observation_id":"515b78ea-e078-49b9-a57d-cfbeb6932b79","resolution":{"observed_at":"2026-08-06T22:05:08.475426Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2105.13277/citation-record","integrity":"/paper/2105.13277/integrity","json":"/paper/2105.13277/citation-record.json","paper":"/paper/2105.13277"},"outbound":[],"paper":{"arxiv_id":"2105.13277","last_updated":"2021-05-27T16:22:44Z","latest_version":1,"primary_category":"cs.GR","snapshot_observed_at":"2026-08-16T18:21:44.845549Z","submitted_at":"2021-05-27T16:22:44Z","title":"MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representation"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2105.13277."}