{"as_of":"2026-08-20T14:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0940fd2da44115febe31630014396270acb05fff1206e823fe60217ae0e7f6e6","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":"2026-08-20T06:33:59.587034+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":"2026-08-06T15:51:37.125268Z","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":"2026-06-29T13:13:27.445024Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.03468","last_updated":"2024-01-24T07:56:04Z","snapshot_observed_at":"2026-08-18T08:33:02.204885Z","submitted_at":"2023-04-07T04:10:26Z","title":"Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03468","snapshot_observed_at":"2026-08-06T15:51:37.125268Z","title":"Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.22914","last_updated":"2025-07-20T07:46:55Z","snapshot_observed_at":"2026-08-07T07:23:11.794617Z","submitted_at":"2025-07-20T07:46:55Z","title":"Full Triple Matcher: Integrating all triple elements between heterogeneous Knowledge Graphs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:51:37.125268Z"},"links":{"cited_paper":"/paper/2304.03468","citing_paper":"/paper/2507.22914"},"observation_digest":"sha256:d0927b5f8ce246ce4698dadc403f6a850c81ae8cd9bd7e177545f820f5152deb","observation_id":"66c5b83c-0b72-48a1-968c-0b60b462c6f2","resolution":{"observed_at":"2026-08-06T15:51:37.125268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03468","last_updated":"2024-01-24T07:56:04Z","snapshot_observed_at":"2026-08-18T08:33:02.204885Z","submitted_at":"2023-04-07T04:10:26Z","title":"Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets","version":3},"cited_work":{"arxiv_id":"2304.03468","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.03468","snapshot_observed_at":"2026-06-29T13:13:27.445024Z","title":null,"venue":null,"work_id":"693de722-eec2-4433-bd62-7ef81aabb164","year":2021},"citing_paper":{"arxiv_id":"2605.28308","last_updated":"2026-05-27T11:04:12Z","snapshot_observed_at":"2026-08-11T11:13:50.731729Z","submitted_at":"2026-05-27T11:04:12Z","title":"HELEA: Hard-Negative Benchmark and LLM-based Reranking for Robust Entity Alignment","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-29T13:07:16.185085Z"},"links":{"cited_paper":"/paper/2304.03468","citing_paper":"/paper/2605.28308"},"observation_digest":"sha256:7e1b0de4c8bbb7a6637243c04757d5b5a8d889d31fbc59547a6f603eee8461a8","observation_id":"e1e45d13-ad72-4355-9843-39b19a66c61f","resolution":{"observed_at":"2026-06-29T13:13:27.446288Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2304.03468/citation-record","integrity":"/paper/2304.03468/integrity","json":"/paper/2304.03468/citation-record.json","paper":"/paper/2304.03468"},"outbound":[],"paper":{"arxiv_id":"2304.03468","last_updated":"2024-01-24T07:56:04Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T08:33:02.204885Z","submitted_at":"2023-04-07T04:10:26Z","title":"Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.03468."}