{"as_of":"2026-08-18T12:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ba2aeda858a5f888d34663c407d30e484104224ba1f0097faeb56286875ba534","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":"2026-08-18T06:34:40.430872+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":"2026-08-07T12:27:09.125087Z","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":"2026-08-07T12:27:10.673374Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.21105","last_updated":"2025-03-27T02:58:28Z","snapshot_observed_at":"2026-08-16T12:46:26.834941Z","submitted_at":"2025-03-27T02:58:28Z","title":"AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification","version":1},"cited_work":{"arxiv_id":"2503.21105","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.21105","snapshot_observed_at":"2026-08-07T12:27:10.673374Z","title":"AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification","venue":"cs.LG","work_id":"7b759b53-add4-4216-9c4b-5e9930fba6ed","year":2025},"citing_paper":{"arxiv_id":"2505.24421","last_updated":"2026-07-13T06:56:25Z","snapshot_observed_at":"2026-08-18T02:28:59.718544Z","submitted_at":"2025-05-30T10:01:23Z","title":"pyMEAL: A Multi-Encoder Augmentation-Aware-Learning Toolbox for Robust Medical Image Translation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T12:27:09.125087Z"},"links":{"cited_paper":"/paper/2503.21105","citing_paper":"/paper/2505.24421"},"observation_digest":"sha256:0da95301d0221b51d5c122b22e467b991922c614fcafdecbcc49cc24a79e244d","observation_id":"b6d30e21-2d14-4f47-a976-4fa36d57d174","resolution":{"observed_at":"2026-08-07T12:27:10.728596Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.21105/citation-record","integrity":"/paper/2503.21105/integrity","json":"/paper/2503.21105/citation-record.json","paper":"/paper/2503.21105"},"outbound":[],"paper":{"arxiv_id":"2503.21105","last_updated":"2025-03-27T02:58:28Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T12:46:26.834941Z","submitted_at":"2025-03-27T02:58:28Z","title":"AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:2503.21105."}