{"as_of":"2026-08-09T19:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:92a51cd64111742d39f3b3859b728bd8440c85ef069dd4008c62516a0da3a89a","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T14:52:18.887575Z","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":"2026-05-12T08:26:24.882715Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1802.04944","last_updated":"2018-05-20T14:28:06Z","snapshot_observed_at":"2026-07-06T06:23:19.106346Z","submitted_at":"2018-02-14T03:52:58Z","title":"Edge Attention-based Multi-Relational Graph Convolutional Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.04944","snapshot_observed_at":"2026-08-06T14:52:18.887575Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.17509","last_updated":"2025-07-23T13:47:38Z","snapshot_observed_at":"2026-08-09T12:10:53.008997Z","submitted_at":"2025-07-23T13:47:38Z","title":"Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T14:52:18.887575Z"},"links":{"cited_paper":"/paper/1802.04944","citing_paper":"/paper/2507.17509"},"observation_digest":"sha256:b852a91fe54e73fd8d96a51fa19c191a1b54dd625c4b22d667e3d9ed16c837a0","observation_id":"19980cc8-815f-4df6-9189-b5f4b3e0d8bf","resolution":{"observed_at":"2026-08-06T14:52:18.887575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.04944","last_updated":"2018-05-20T14:28:06Z","snapshot_observed_at":"2026-07-06T06:23:19.106346Z","submitted_at":"2018-02-14T03:52:58Z","title":"Edge Attention-based Multi-Relational Graph Convolutional Networks","version":2},"cited_work":{"arxiv_id":"1802.04944","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1802.04944","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:1802.04944 , year=","venue":null,"work_id":"331f49f5-01ba-409f-bb32-1781ff3c27d7","year":null},"citing_paper":{"arxiv_id":"2605.08679","last_updated":"2026-05-09T04:33:14Z","snapshot_observed_at":"2026-08-02T13:27:25.888990Z","submitted_at":"2026-05-09T04:33:14Z","title":"Attention-based graph neural networks: a survey","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-05-12T01:07:43.805485Z"},"links":{"cited_paper":"/paper/1802.04944","citing_paper":"/paper/2605.08679"},"observation_digest":"sha256:862fb4d3ca496d523a71b3c96644eef14311d1e764036362528f690752b9b69b","observation_id":"9bd7e25b-5636-4a44-9bf4-8e959c3f19c4","resolution":{"observed_at":"2026-05-12T08:26:24.884310Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1802.04944/citation-record","integrity":"/paper/1802.04944/integrity","json":"/paper/1802.04944/citation-record.json","paper":"/paper/1802.04944"},"outbound":[],"paper":{"arxiv_id":"1802.04944","last_updated":"2018-05-20T14:28:06Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-07-06T06:23:19.106346Z","submitted_at":"2018-02-14T03:52:58Z","title":"Edge Attention-based Multi-Relational Graph Convolutional Networks"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1802.04944."}