{"as_of":"2026-08-07T18:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:993e1c089a62218ee7f28f383993fcd6305c040f0e1d5beb7d39e4e64f8a4c64","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":"2026-08-07T06:34:17.273281+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":"2026-08-01T19:46:55.895081Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.03563","last_updated":"2024-11-25T20:22:27Z","snapshot_observed_at":"2026-07-06T18:26:05.938067Z","submitted_at":"2024-06-05T18:23:05Z","title":"Equivariant Graph Neural Networks for Prediction of Tensor Material Properties of Crystals","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03563","snapshot_observed_at":"2026-08-01T19:46:55.895081Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16871","last_updated":"2026-07-18T16:24:03Z","snapshot_observed_at":"2026-08-06T16:38:33.622934Z","submitted_at":"2026-07-18T16:24:03Z","title":"Point Group Equivariant Graph Neural Networks for Materials","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T19:46:55.895081Z"},"links":{"cited_paper":"/paper/2406.03563","citing_paper":"/paper/2607.16871"},"observation_digest":"sha256:8ce7dc46e7c33fcdabe13bcaab4f56c788bacd80f25a7d202c9d50da5d51d694","observation_id":"87199649-0f5f-43f5-991f-4bb791bacaf1","resolution":{"observed_at":"2026-08-01T19:46:55.895081Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.03563/citation-record","integrity":"/paper/2406.03563/integrity","json":"/paper/2406.03563/citation-record.json","paper":"/paper/2406.03563"},"outbound":[],"paper":{"arxiv_id":"2406.03563","last_updated":"2024-11-25T20:22:27Z","latest_version":2,"primary_category":"physics.comp-ph","snapshot_observed_at":"2026-07-06T18:26:05.938067Z","submitted_at":"2024-06-05T18:23:05Z","title":"Equivariant Graph Neural Networks for Prediction of Tensor Material Properties of Crystals"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2406.03563."}