{"as_of":"2026-08-17T19:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bf36ec3ef87a299589ad0308fcfb4a4755e22b1086e6d4b4c453f5e88c4f66f1","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T05:31:06.983433Z","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":"2026-05-21T08:34:05.399226Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.06147","last_updated":"2023-07-24T17:58:45Z","snapshot_observed_at":"2026-08-17T13:58:14.044443Z","submitted_at":"2023-03-10T18:59:57Z","title":"Exphormer: Sparse Transformers for Graphs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.06147","snapshot_observed_at":"2026-08-16T05:31:06.983433Z","title":"Suther- land, and Ali Kemal Sinop","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20666","last_updated":"2025-04-29T11:45:24Z","snapshot_observed_at":"2026-08-16T05:20:59.657387Z","submitted_at":"2025-04-29T11:45:24Z","title":"SFi-Former: Sparse Flow Induced Attention for Graph Transformer","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T05:31:06.983433Z"},"links":{"cited_paper":"/paper/2303.06147","citing_paper":"/paper/2504.20666"},"observation_digest":"sha256:a43f9462b8f6ee608f1e9ae4235d7fdbf35c62662bc872b447bf4f067d2c3079","observation_id":"1e83061b-92de-4b0f-9253-9a19359ee684","resolution":{"observed_at":"2026-08-16T05:31:06.983433Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.06147","last_updated":"2023-07-24T17:58:45Z","snapshot_observed_at":"2026-08-17T13:58:14.044443Z","submitted_at":"2023-03-10T18:59:57Z","title":"Exphormer: Sparse Transformers for Graphs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.06147","snapshot_observed_at":"2026-08-15T22:07:36.828440Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.08098","last_updated":"2025-05-12T22:09:05Z","snapshot_observed_at":"2026-08-16T10:47:37.411417Z","submitted_at":"2025-05-12T22:09:05Z","title":"Fused3S: Fast Sparse Attention on Tensor Cores","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:36.828440Z"},"links":{"cited_paper":"/paper/2303.06147","citing_paper":"/paper/2505.08098"},"observation_digest":"sha256:e28f143957377d9015ebf840f2a8a4e5d879be2768fc0eb7936d83cbbbb881e3","observation_id":"cb6957e5-8bbc-4444-8a92-b460111dad60","resolution":{"observed_at":"2026-08-15T22:07:36.828440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.06147","last_updated":"2023-07-24T17:58:45Z","snapshot_observed_at":"2026-08-17T13:58:14.044443Z","submitted_at":"2023-03-10T18:59:57Z","title":"Exphormer: Sparse Transformers for Graphs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.06147","snapshot_observed_at":"2026-08-15T19:25:38.107642Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16654","last_updated":"2025-06-19T23:51:38Z","snapshot_observed_at":"2026-08-17T12:58:04.329086Z","submitted_at":"2025-06-19T23:51:38Z","title":"Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-15T19:25:38.107642Z"},"links":{"cited_paper":"/paper/2303.06147","citing_paper":"/paper/2506.16654"},"observation_digest":"sha256:43dd85bb1b9867657caf38106e929acee447fa2b2bff7e6c5eba64ae6adc747a","observation_id":"a9709ad3-1509-4365-b89b-906901a7608d","resolution":{"observed_at":"2026-08-15T19:25:38.107642Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.06147","last_updated":"2023-07-24T17:58:45Z","snapshot_observed_at":"2026-08-17T13:58:14.044443Z","submitted_at":"2023-03-10T18:59:57Z","title":"Exphormer: Sparse Transformers for Graphs","version":2},"cited_work":{"arxiv_id":"2303.06147","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.06147","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Exphormer: Sparse Transformers for Graphs","venue":null,"work_id":"c0cbddb6-dba0-4a24-be1d-0bfd361e36ca","year":2023},"citing_paper":{"arxiv_id":"2604.16715","last_updated":"2026-04-17T21:29:35Z","snapshot_observed_at":"2026-08-16T05:00:38.354091Z","submitted_at":"2026-04-17T21:29:35Z","title":"Scalable and Adaptive Parallel Training of Graph Transformer on Large Graphs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T06:54:30.798518Z"},"links":{"cited_paper":"/paper/2303.06147","citing_paper":"/paper/2604.16715"},"observation_digest":"sha256:504e95223051658c1d32fd53edadff8f31e5087ac284eb0b689394046f3d0449","observation_id":"94c5a557-81b6-47f1-8eb0-34fb6a3292c1","resolution":{"observed_at":"2026-05-10T06:56:47.469468Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.06147","last_updated":"2023-07-24T17:58:45Z","snapshot_observed_at":"2026-08-17T13:58:14.044443Z","submitted_at":"2023-03-10T18:59:57Z","title":"Exphormer: Sparse Transformers for Graphs","version":2},"cited_work":{"arxiv_id":"2303.06147","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.06147","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Exphormer: Sparse Transformers for Graphs","venue":null,"work_id":"c0cbddb6-dba0-4a24-be1d-0bfd361e36ca","year":2023},"citing_paper":{"arxiv_id":"2604.17324","last_updated":"2026-06-07T04:11:52Z","snapshot_observed_at":"2026-08-14T05:52:51.194943Z","submitted_at":"2026-04-19T08:33:48Z","title":"Capacity-Controlled Global Attention for Graph Transformers","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T06:27:24.557866Z"},"links":{"cited_paper":"/paper/2303.06147","citing_paper":"/paper/2604.17324"},"observation_digest":"sha256:f44983e820dd2baf1865b282226481dee95fd7b4a37855e0ec4b0eca1a871848","observation_id":"77593740-36de-49f5-bb12-c0fa15037404","resolution":{"observed_at":"2026-05-10T06:31:30.772558Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.06147","last_updated":"2023-07-24T17:58:45Z","snapshot_observed_at":"2026-08-17T13:58:14.044443Z","submitted_at":"2023-03-10T18:59:57Z","title":"Exphormer: Sparse Transformers for Graphs","version":2},"cited_work":{"arxiv_id":"2303.06147","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.06147","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Exphormer: Sparse Transformers for Graphs","venue":null,"work_id":"c0cbddb6-dba0-4a24-be1d-0bfd361e36ca","year":2023},"citing_paper":{"arxiv_id":"2605.20248","last_updated":"2026-05-18T06:47:41Z","snapshot_observed_at":"2026-08-17T17:29:58.157822Z","submitted_at":"2026-05-18T06:47:41Z","title":"Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-21T08:32:32.410473Z"},"links":{"cited_paper":"/paper/2303.06147","citing_paper":"/paper/2605.20248"},"observation_digest":"sha256:14054c9dd9a99abfc49d2c92b55b2667c388a1e082150693651f89b3c724c93c","observation_id":"034bb0e2-f37b-4321-88f2-9f0888bde703","resolution":{"observed_at":"2026-05-21T08:34:05.401042Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2303.06147/citation-record","integrity":"/paper/2303.06147/integrity","json":"/paper/2303.06147/citation-record.json","paper":"/paper/2303.06147"},"outbound":[],"paper":{"arxiv_id":"2303.06147","last_updated":"2023-07-24T17:58:45Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T13:58:14.044443Z","submitted_at":"2023-03-10T18:59:57Z","title":"Exphormer: Sparse Transformers for Graphs"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2303.06147."}