{"as_of":"2026-08-12T09:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e30654938e8f2f93f68c4c6e99643196bac12b5a7ee0d3c97974fba43fcfa6fe","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":"2026-08-12T06:34:41.77262+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":"2026-08-07T12:10:40.811000Z","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":3,"observed_at":"2026-08-10T05:30:23.456663Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.11299","last_updated":"2023-04-20T17:55:47Z","snapshot_observed_at":"2026-08-09T15:30:34.398264Z","submitted_at":"2021-06-21T17:56:07Z","title":"Boundary Graph Neural Networks for 3D Simulations","version":7},"cited_work":{"arxiv_id":"2106.11299","doi":"10.48550/arxiv.2106.11299","metadata_source":"pith","pith_arxiv_id":"2106.11299","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Boundary Graph Neural Networks for 3D Simulations","venue":"cs.LG","work_id":"b013d10a-97e5-4a5f-81ce-62b19c3f2d4c","year":2021},"citing_paper":{"arxiv_id":"2506.00328","last_updated":"2025-06-11T06:03:44Z","snapshot_observed_at":"2026-08-10T09:33:40.916057Z","submitted_at":"2025-05-31T00:47:24Z","title":"BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T12:10:40.811000Z"},"links":{"cited_paper":"/paper/2106.11299","citing_paper":"/paper/2506.00328"},"observation_digest":"sha256:3a26d7e277742783fb6cdfb08ec3904e2bed362357faf40ec395ebacd80c65a8","observation_id":"e1a39574-dcae-4d36-ab31-ef1efc0fc565","resolution":{"observed_at":"2026-08-07T12:10:41.068311Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2106.11299/citation-record","integrity":"/paper/2106.11299/integrity","json":"/paper/2106.11299/citation-record.json","paper":"/paper/2106.11299"},"outbound":[],"paper":{"arxiv_id":"2106.11299","last_updated":"2023-04-20T17:55:47Z","latest_version":7,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T15:30:34.398264Z","submitted_at":"2021-06-21T17:56:07Z","title":"Boundary Graph Neural Networks for 3D Simulations"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2106.11299."}