{"as_of":"2026-08-18T20:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a5545ded1ade590a74ad92f4901eab0698740ff79ab5d43fb9c2b08047a1195b","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":"2026-05-14T19:55:19.362468Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-14T19:57:53.646253Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.08005","last_updated":"2023-10-18T08:51:16Z","snapshot_observed_at":"2026-08-17T17:33:35.101047Z","submitted_at":"2022-06-16T09:01:53Z","title":"Evaluating Self-Supervised Learning for Molecular Graph Embeddings","version":3},"cited_work":{"arxiv_id":"2206.08005","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.08005","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sheng Wang, Yuzhi Guo, Yuhong Wang, Hongmao Sun, and Junzhou Huang","venue":null,"work_id":"7134c3bb-3856-4a89-854a-fb745d91e984","year":null},"citing_paper":{"arxiv_id":"2605.13262","last_updated":"2026-05-13T09:43:55Z","snapshot_observed_at":"2026-08-12T15:15:49.644872Z","submitted_at":"2026-05-13T09:43:55Z","title":"Chem-GMNet: A Sphere-Native Geometric Transformer for Molecular Property Prediction","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-14T19:55:19.362468Z"},"links":{"cited_paper":"/paper/2206.08005","citing_paper":"/paper/2605.13262"},"observation_digest":"sha256:df5df44f7efbfe338ff9194ce8239f19280909a77ac24a4bac7f8818b188d0f3","observation_id":"67cd7111-4258-45b0-a32c-09c4dc754b66","resolution":{"observed_at":"2026-05-14T19:57:53.649730Z","resolver_source":"arxiv_id","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/2206.08005/citation-record","integrity":"/paper/2206.08005/integrity","json":"/paper/2206.08005/citation-record.json","paper":"/paper/2206.08005"},"outbound":[],"paper":{"arxiv_id":"2206.08005","last_updated":"2023-10-18T08:51:16Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T17:33:35.101047Z","submitted_at":"2022-06-16T09:01:53Z","title":"Evaluating Self-Supervised Learning for Molecular Graph Embeddings"},"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:2206.08005."}