{"as_of":"2026-08-07T17:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0f8b6135d735995d5e2bb63dc6ead2dd9ccb8bbec4fdd427b2536e19a84dacc0","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":"2026-08-05T05:33:03.260199Z","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":"2026-08-05T05:33:03.306665Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.01277","last_updated":"2023-03-02T14:02:39Z","snapshot_observed_at":"2026-07-06T14:57:51.700253Z","submitted_at":"2023-03-02T14:02:39Z","title":"Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication","version":1},"cited_work":{"arxiv_id":"2303.01277","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.01277","snapshot_observed_at":"2026-08-05T05:33:03.306665Z","title":"Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication","venue":"cs.DC","work_id":"3b1bbd8b-c64e-4c0a-89ca-ef8327e82059","year":2023},"citing_paper":{"arxiv_id":"2509.05207","last_updated":"2025-09-05T16:10:20Z","snapshot_observed_at":"2026-08-06T22:51:22.930035Z","submitted_at":"2025-09-05T16:10:20Z","title":"RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T05:33:03.260199Z"},"links":{"cited_paper":"/paper/2303.01277","citing_paper":"/paper/2509.05207"},"observation_digest":"sha256:e24091de0f459cdb17ed25e8e70564a4cc1ee1fd001753569934ac33f9d42178","observation_id":"e514c172-a1d5-4f23-a143-177b25467d57","resolution":{"observed_at":"2026-08-05T05:33:03.312614Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2303.01277/citation-record","integrity":"/paper/2303.01277/integrity","json":"/paper/2303.01277/citation-record.json","paper":"/paper/2303.01277"},"outbound":[],"paper":{"arxiv_id":"2303.01277","last_updated":"2023-03-02T14:02:39Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-07-06T14:57:51.700253Z","submitted_at":"2023-03-02T14:02:39Z","title":"Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication"},"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:2303.01277."}