{"as_of":"2026-08-11T22:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4b4b22629856afbf5e16bf2349a38210b567d2a53c1988d4d53836956c69319e","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":"2026-08-11T06:34:44.6726+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":"2026-06-28T16:37:20.774251Z","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":"2026-07-01T21:36:15.531340Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.14898","last_updated":"2023-11-25T01:55:08Z","snapshot_observed_at":"2026-07-06T16:52:11.338048Z","submitted_at":"2023-11-25T01:55:08Z","title":"HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading)","version":1},"cited_work":{"arxiv_id":"2311.14898","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.14898","snapshot_observed_at":"2026-07-01T21:36:15.531340Z","title":"HongTu: scalable full-graph GNN training on multiple GPUs (via communication-optimized CPU data offloading)","venue":null,"work_id":"a369e890-f267-4747-9579-ac17129906cc","year":2023},"citing_paper":{"arxiv_id":"2606.01161","last_updated":"2026-05-31T11:08:51Z","snapshot_observed_at":"2026-08-03T09:12:52.643122Z","submitted_at":"2026-05-31T11:08:51Z","title":"AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-06-28T16:37:20.774251Z"},"links":{"cited_paper":"/paper/2311.14898","citing_paper":"/paper/2606.01161"},"observation_digest":"sha256:1d2576d66a8b474a4cb45b943b7e25ccab3412fc1beb60ebd6065b0923d83926","observation_id":"99c6cf8c-626d-4d7c-8b24-850e874a7495","resolution":{"observed_at":"2026-07-01T21:36:15.532929Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2311.14898/citation-record","integrity":"/paper/2311.14898/integrity","json":"/paper/2311.14898/citation-record.json","paper":"/paper/2311.14898"},"outbound":[],"paper":{"arxiv_id":"2311.14898","last_updated":"2023-11-25T01:55:08Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-07-06T16:52:11.338048Z","submitted_at":"2023-11-25T01:55:08Z","title":"HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading)"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2311.14898."}