{"as_of":"2026-08-13T10:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0f0505b2cd87f1e4354d4a8cf054c1be9011eefd35c3acda791c1f45d5c1f8ce","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T23:21:24.165214Z","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":"2026-05-23T20:58:26.654997Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1903.07293","last_updated":"2021-01-20T06:23:37Z","snapshot_observed_at":"2026-08-06T10:54:47.478123Z","submitted_at":"2019-03-18T08:19:40Z","title":"Heterogeneous Graph Attention Network","version":2},"cited_work":{"arxiv_id":"1903.07293","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1903.07293","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Yu, and Yanfang Ye","venue":null,"work_id":"aefbe476-8349-4b10-a6db-50958121846c","year":2019},"citing_paper":{"arxiv_id":"2409.08036","last_updated":"2026-04-16T21:00:42Z","snapshot_observed_at":"2026-08-02T15:48:28.524877Z","submitted_at":"2024-09-12T13:38:08Z","title":"Heterogeneous Sheaf Neural Networks","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-23T20:57:34.082406Z"},"links":{"cited_paper":"/paper/1903.07293","citing_paper":"/paper/2409.08036"},"observation_digest":"sha256:821154ac515054590d452620842e93f24d5d01215a667f87892102085bfe4895","observation_id":"08f93f23-2ea3-4b41-8f32-6e472e51af33","resolution":{"observed_at":"2026-05-23T20:58:26.660974Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.07293","last_updated":"2021-01-20T06:23:37Z","snapshot_observed_at":"2026-08-06T10:54:47.478123Z","submitted_at":"2019-03-18T08:19:40Z","title":"Heterogeneous Graph Attention Network","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.07293","snapshot_observed_at":"2026-08-10T23:21:24.165214Z","title":"Yu, and Yanfang Ye","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.20678","last_updated":"2024-12-30T03:15:25Z","snapshot_observed_at":"2026-08-10T23:11:36.007421Z","submitted_at":"2024-12-30T03:15:25Z","title":"Attention-Driven Metapath Encoding in Heterogeneous Graphs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T23:21:24.165214Z"},"links":{"cited_paper":"/paper/1903.07293","citing_paper":"/paper/2412.20678"},"observation_digest":"sha256:25d7178c81dcf93b5bb87f4d87484d8006acdd6fde518facf09cd12d7195077b","observation_id":"9054bfb3-2a05-4f03-9c8f-96b1e56530df","resolution":{"observed_at":"2026-08-10T23:21:24.165214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.07293","last_updated":"2021-01-20T06:23:37Z","snapshot_observed_at":"2026-08-06T10:54:47.478123Z","submitted_at":"2019-03-18T08:19:40Z","title":"Heterogeneous Graph Attention Network","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.07293","snapshot_observed_at":"2026-08-07T11:22:38.758470Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.02834","last_updated":"2025-06-03T13:04:00Z","snapshot_observed_at":"2026-08-12T05:38:59.723332Z","submitted_at":"2025-06-03T13:04:00Z","title":"Combining social relations and interaction data in Recommender System with Graph Convolution Collaborative Filtering","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T11:22:38.758470Z"},"links":{"cited_paper":"/paper/1903.07293","citing_paper":"/paper/2506.02834"},"observation_digest":"sha256:6fba3aced61ba6b9a07541f76f9216c4a82d35a13383165a55065b0ceb15950f","observation_id":"4137dd29-d115-4c4d-90f1-92d69a1f61b5","resolution":{"observed_at":"2026-08-07T11:22:38.758470Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.07293","last_updated":"2021-01-20T06:23:37Z","snapshot_observed_at":"2026-08-06T10:54:47.478123Z","submitted_at":"2019-03-18T08:19:40Z","title":"Heterogeneous Graph Attention Network","version":2},"cited_work":{"arxiv_id":"1903.07293","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1903.07293","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Yu, and Yanfang Ye","venue":null,"work_id":"aefbe476-8349-4b10-a6db-50958121846c","year":2019},"citing_paper":{"arxiv_id":"2604.21093","last_updated":"2026-04-22T21:23:12Z","snapshot_observed_at":"2026-07-06T23:07:47.244208Z","submitted_at":"2026-04-22T21:23:12Z","title":"TRAVELFRAUDBENCH: A Configurable Evaluation Framework for GNN Fraud Ring Detection in Travel Networks","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-05-10T00:30:25.954515Z"},"links":{"cited_paper":"/paper/1903.07293","citing_paper":"/paper/2604.21093"},"observation_digest":"sha256:9bc65cc174bfbd8993324240efcf800ca449b8085fb74a4e6efba3cd393b9422","observation_id":"e17c2a16-edc1-4a54-8f3a-d38cd9096088","resolution":{"observed_at":"2026-05-11T13:51:02.459256Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.07293","last_updated":"2021-01-20T06:23:37Z","snapshot_observed_at":"2026-08-06T10:54:47.478123Z","submitted_at":"2019-03-18T08:19:40Z","title":"Heterogeneous Graph Attention Network","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.07293","snapshot_observed_at":"2026-07-12T03:06:24.801039Z","title":"Heterogeneous graph attention network,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03350","last_updated":"2026-07-03T14:05:54Z","snapshot_observed_at":"2026-08-13T10:01:45.935399Z","submitted_at":"2026-07-03T14:05:54Z","title":"LLM-Enhanced Hierarchical Heterogeneous Graph Representation Learning for Malicious Python Package Detection","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-12T03:06:24.801039Z"},"links":{"cited_paper":"/paper/1903.07293","citing_paper":"/paper/2607.03350"},"observation_digest":"sha256:a69e683ed01219ccc31c5c4a59ef9c8e5e17eed4d035e09da75888fc5e47ad4a","observation_id":"f5b56ae7-ad5c-43a2-9ee4-76a6aa0e4872","resolution":{"observed_at":"2026-07-12T03:06:24.801039Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1903.07293/citation-record","integrity":"/paper/1903.07293/integrity","json":"/paper/1903.07293/citation-record.json","paper":"/paper/1903.07293"},"outbound":[],"paper":{"arxiv_id":"1903.07293","last_updated":"2021-01-20T06:23:37Z","latest_version":2,"primary_category":"cs.SI","snapshot_observed_at":"2026-08-06T10:54:47.478123Z","submitted_at":"2019-03-18T08:19:40Z","title":"Heterogeneous Graph Attention Network"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1903.07293."}