{"as_of":"2026-08-20T09:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a4f749b962f02de4efb1ee74e7d6c56bbed7355a3f88aebff5576d17fbbdf66b","coverage":[{"denominator":102,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:27:17.043294Z","state":"measured"},{"denominator":102,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":102,"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":"2026-05-19T02:47:37.470291Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"cited_work":{"arxiv_id":"2501.08547","doi":"10.48550/arxiv.2501.08547","metadata_source":"arxiv_reference","pith_arxiv_id":"2501.08547","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Omega: A low-latency gnn serving system for large graphs","venue":"ArXiv.org","work_id":"823ade61-88ed-4a72-bd37-7e85d24ff4d0","year":2025},"citing_paper":{"arxiv_id":"2507.19205","last_updated":"2026-04-18T12:46:44Z","snapshot_observed_at":"2026-08-14T18:04:49.346722Z","submitted_at":"2025-07-25T12:19:57Z","title":"Physics-Informed Graph Neural Networks for Transverse Momentum Estimation in CMS Trigger Systems","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-19T02:47:37.470291Z"},"links":{"cited_paper":"/paper/2501.08547","citing_paper":"/paper/2507.19205"},"observation_digest":"sha256:7e177af5bc997890c1036ca6ad06eafb1c736132e04a8489efb22a049e907fd8","observation_id":"96e0c264-9d65-4470-89a4-b46d68b7a7be","resolution":{"observed_at":"2026-05-19T02:51:59.726560Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"cited_work":{"arxiv_id":"2501.08547","doi":"10.48550/arxiv.2501.08547","metadata_source":"arxiv_reference","pith_arxiv_id":"2501.08547","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Omega: A low-latency gnn serving system for large graphs","venue":"ArXiv.org","work_id":"823ade61-88ed-4a72-bd37-7e85d24ff4d0","year":2025},"citing_paper":{"arxiv_id":"2603.22149","last_updated":"2026-07-08T16:16:33Z","snapshot_observed_at":"2026-08-12T21:37:52.284315Z","submitted_at":"2026-03-23T16:14:52Z","title":"Low Latency GNN Accelerator for Quantum Error Correction","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-15T00:45:43.311644Z"},"links":{"cited_paper":"/paper/2501.08547","citing_paper":"/paper/2603.22149"},"observation_digest":"sha256:0cda40488d68d48cc213fa16c958f21ce5a213551d0250c7b85e492019af9eec","observation_id":"cb8ec223-b5b9-4a94-a03a-430b714673cf","resolution":{"observed_at":"2026-05-15T00:48:24.992915Z","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/2501.08547/citation-record","integrity":"/paper/2501.08547/integrity","json":"/paper/2501.08547/citation-record.json","paper":"/paper/2501.08547"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.515994Z","title":"https : / / www.nvidia.com/en- us/data- center/a100/","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.515994Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:9b3d199d14a343dd5f8f717f48a9a50ad28d2d5ffa17a5d16f4b8a4654b29e51","observation_id":"8264b01f-3033-4536-82ed-859dd4f42657","resolution":{"observed_at":"2026-08-10T20:27:16.515994Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.520066Z","title":"https://www.nvidia.com/ en - us / networking / ethernet / connectx - 4 - lx/","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.520066Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:5def065475ff3fb70c7620f5e59bcbd7a6ad66d997f14f29b166386ac9a0eb94","observation_id":"5f6a5fe9-e8f1-4a92-adda-d2cf239e7149","resolution":{"observed_at":"2026-08-10T20:27:16.520066Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.526243Z","title":"https://www.nvidia.com/en- us/networking/ethernet/connectx-5/","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.526243Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:d4ddd447f3826231965c22e4b18810e1f32338494f9f6e585684ccf98a2d1569","observation_id":"20d1d340-d18c-42fb-b971-8bc4d2a16b70","resolution":{"observed_at":"2026-08-10T20:27:16.526243Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.529775Z","title":"https://www.nvidia.com/ en - us / networking / ethernet / connectx - 6 - dx/","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.529775Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:baf99e72c549da02a22ce468e497f7a9d9d49ae818102eef1d6991f28b650593","observation_id":"4864c152-f3f7-49c7-84a0-fed2c428b2f1","resolution":{"observed_at":"2026-08-10T20:27:16.529775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.533651Z","title":"https : / / www.nvidia.com/en- us/data- center/h100/","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.533651Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:e16754b6c6e2c85a17c6f6eb5dfe37e5c0f314d83da6e23eaa304df14657f1fb","observation_id":"612132fb-3dce-40ec-b829-672399d5079e","resolution":{"observed_at":"2026-08-10T20:27:16.533651Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.537421Z","title":"https://www.nvidia.com/en- us/data- center/tesla- p100/","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.537421Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:c26e5192baf1d611128633a4e9e0f510e73d6cd43f2f1bacf3e0bfb2b97cc586","observation_id":"8335dff8-5675-42e9-842b-2793dcec5abf","resolution":{"observed_at":"2026-08-10T20:27:16.537421Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.541924Z","title":"https : / / www.nvidia.com/en- us/data- center/v100/","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.541924Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:1cb1935186556aa569b647c7a43cc2dbb1e6381b6f4b26dd6baa8bd670f66873","observation_id":"3dc2f558-16ef-4cd3-90dd-9eed88958311","resolution":{"observed_at":"2026-08-10T20:27:16.541924Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.544695Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.544695Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:b18746f554585aa8661b664834f090a644838c985110202b40856c4f74588a1b","observation_id":"32363953-4594-4fda-99a3-7c6d307d237b","resolution":{"observed_at":"2026-08-10T20:27:16.544695Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.557918Z","title":"https: //github.com/facebookincubator/gloo, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.557918Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:f164cb39c9e49d309a96ed51e18ac5b5e82f336cad9f2b412cc3d13e5a5a55d7","observation_id":"3c9349d5-45ec-4ae5-974f-acbc77445a5e","resolution":{"observed_at":"2026-08-10T20:27:16.557918Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.560913Z","title":"https://github.com/NVIDIA/nccl,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.560913Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:b0ad8680d548d5ad5947702340eb77ce9ee6b3a05f7ae580c2c366707d912e93","observation_id":"eb936d42-0972-4c4d-b7c6-19002d32432a","resolution":{"observed_at":"2026-08-10T20:27:16.560913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.566671Z","title":"Abdine, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.566671Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:f8bd0c4bcc8b5d0b8a475d000af9bd1f3b694d7ada83965c97502a2d22f85dc3","observation_id":"d24e99da-cbce-463f-b127-6a496096af1b","resolution":{"observed_at":"2026-08-10T20:27:16.566671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-17T09:58:46.058102Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-10T20:27:16.569060Z","title":"Achiam, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.569060Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:370748fcd2d97682d06fc82813bcd478ab4f17dcd34c170631cf54b59d8f0687","observation_id":"3c90a39f-9ea0-4b43-aa57-08c882f94c12","resolution":{"observed_at":"2026-08-10T20:27:16.569060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.575450Z","title":"Atkinson, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.575450Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:d349c59a6bc1ad7fe5d8faa4f715aba3cec9099989cbde2e9e96ea7c08c24504","observation_id":"4c699c6a-060e-4a0b-83fa-cc7c7232795b","resolution":{"observed_at":"2026-08-10T20:27:16.575450Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.578784Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.578784Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:9efff04e9281580382dbad823489d779dd950047653b6763202913ca0991f0b1","observation_id":"c01f209a-c5cf-4e54-85eb-9e20954f4cfd","resolution":{"observed_at":"2026-08-10T20:27:16.578784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.582944Z","title":"Battaglia, J","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.582944Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:aef25ee2fd01ccdc06a50a5f67b8146fe9b92003a51bf000d9b99703f1e78720","observation_id":"8bffdf1b-d141-4f7d-bb61-3daf74effd87","resolution":{"observed_at":"2026-08-10T20:27:16.582944Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.587234Z","title":null,"venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.587234Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:396e43e22e24edb7c80e3b1ca7d9852d43123affc4eb18ed6c026b9a466f9b18","observation_id":"5564fb60-bfb1-4a0e-90d7-b4e21d0e476d","resolution":{"observed_at":"2026-08-10T20:27:16.587234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14491","last_updated":"2022-01-31T07:20:20Z","snapshot_observed_at":"2026-07-06T11:14:04.454155Z","submitted_at":"2021-05-30T10:17:58Z","title":"How Attentive are Graph Attention Networks?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14491","snapshot_observed_at":"2026-08-10T20:27:16.591552Z","title":"Brody, U","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.591552Z"},"links":{"cited_paper":"/paper/2105.14491","citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:299564b2e23e9ea300791daaf416ee8618a98fc97a2965a7b535fb0c9a4ae88a","observation_id":"7c1461b8-2b79-415a-9e1b-25ab216f27ab","resolution":{"observed_at":"2026-08-10T20:27:16.591552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.595789Z","title":"Brown, B","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.595789Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:f47950fbc367ab2eace8a1e9b0f949842b49edef5d697d5c9a54a91e565680af","observation_id":"4bef00cd-0e93-4c7c-8295-c948042d05a7","resolution":{"observed_at":"2026-08-10T20:27:16.595789Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.599257Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.599257Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:46b1c38237b40a62f23dcf8ba9b8b4e692431da8b9dd5bfcec807624cb910a7f","observation_id":"341c95b5-f2b5-445d-bbf0-919d1028205b","resolution":{"observed_at":"2026-08-10T20:27:16.599257Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.602063Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.602063Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:cd2c416d979e176a10fb2d33cf8341a3cfc25966a2daf8c1283684e9689746bb","observation_id":"1f036cf4-e2cc-4fce-9ba3-0d0cf80d7bd1","resolution":{"observed_at":"2026-08-10T20:27:16.602063Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.605495Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.605495Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:5fc7216dbb8fe069933fea4cc1e70a1d647a94f5a89f3d20ee9c55f289a6e69d","observation_id":"d4b09b4b-f8c1-4bf1-9120-a6aab60dd424","resolution":{"observed_at":"2026-08-10T20:27:16.605495Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.608134Z","title":"Chiang, X","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.608134Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:b8dc92dd47176f8d0f01c6a23feb4877821b0479acee9491d4b3310a25457d9e","observation_id":"76d9a294-dbaa-425f-ba90-a1ed9446cce9","resolution":{"observed_at":"2026-08-10T20:27:16.608134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.616420Z","title":"Chien, W.-C","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.616420Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:df3664f0e810121c630f9fa08087c10b6fd83231f09adc63e2e0a7505783ba7f","observation_id":"3aa4909a-283b-4412-8dcf-6520d6a4c3b5","resolution":{"observed_at":"2026-08-10T20:27:16.616420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.408210Z","title":"Corso, L","venue":null,"work_id":"87e441ab-9c49-4995-82d2-2846b0af0ef6","year":2020},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.620221Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:9538d5410cc6a5ab43800d1ecbde5d96c51a4e0147147ff3ebb2b59684c374a1","observation_id":"e6e0658e-0aca-4878-a38b-9cc312e853ff","resolution":{"observed_at":"2026-08-10T20:27:18.416028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.395639Z","title":"Damania, S","venue":null,"work_id":"b7e96db2-89e9-4722-8248-a979e6817fcd","year":2023},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.627576Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:d14cbc49f01590f311fa63dd3e50e62447d2a73999faa65291a6b2bd86b5b247","observation_id":"a83a070f-bf9c-4ecb-a730-8e2b187bec6b","resolution":{"observed_at":"2026-08-10T20:27:18.400006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.384800Z","title":null,"venue":null,"work_id":"ae7a4e37-7979-4ede-939e-f96de9b3d99b","year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.631639Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:2ba91e9776e044956945fb085d6428a0252f02b036577594e51232ea32a1a325","observation_id":"db112a6c-151c-4f27-a3a5-6b92839314c4","resolution":{"observed_at":"2026-08-10T20:27:18.388622Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.371543Z","title":null,"venue":null,"work_id":"f17abcfc-0085-4e46-93f2-32ee68dd39a7","year":2019},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.634826Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:1f4397755ebf2c252568657fe4a43ab02e5b4d4818090e6e3046a87927504078","observation_id":"2b10511d-ab6d-4d57-8c5b-10b33578bdba","resolution":{"observed_at":"2026-08-10T20:27:18.375587Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.353077Z","title":"Derrow-Pinion, J","venue":null,"work_id":"4eb0f806-5325-4141-9423-bae5b02c8825","year":2021},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.638261Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:462b4b2a3098d0109da9060bf2524af28634f9d00a83ab0d28a06e98c0f403b4","observation_id":"52c6a081-77c6-48ef-87f8-a759cebbd2ba","resolution":{"observed_at":"2026-08-10T20:27:18.362364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.339180Z","title":"Edunov, D","venue":null,"work_id":"b601a2b9-6643-4448-8545-28ae39b054eb","year":2018},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.642895Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:c5eeab5682c523968d84d9cf7caf0bfb9df7c582cf405648e6e85614c6c1b016","observation_id":"9f7af8d2-4c23-4c03-beda-4e365355479e","resolution":{"observed_at":"2026-08-10T20:27:18.344863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.320660Z","title":null,"venue":null,"work_id":"8e6f6289-35e2-476c-8734-c246670af209","year":2019},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.656529Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:3de5db95c26cdcd5aa4ff92bb376f5f390c1eed0a17f729bf3e583284702163e","observation_id":"9114862a-777c-486b-b3f7-377dd7464203","resolution":{"observed_at":"2026-08-10T20:27:18.326346Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.660305Z","title":"Fey and J","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.660305Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:370c8f06c79b89a295a7f7eab3d3af86404b75d7c51ef48d8ae7294fe5b1b604","observation_id":"50b74321-222a-4e6c-9af0-0cca50c112d5","resolution":{"observed_at":"2026-08-10T20:27:16.660305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.302233Z","title":null,"venue":null,"work_id":"7a5013ca-222d-47c1-923e-18b68ed1d642","year":2021},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.664927Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:e1fbde620e6d1b516c5b86db27d13cfb672b073a4f89d56b7eb98195fd493906","observation_id":"99c69bf0-680e-44f9-b229-23ec102b5b49","resolution":{"observed_at":"2026-08-10T20:27:18.305026Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.291701Z","title":null,"venue":null,"work_id":"cd014a9b-21fe-42d6-853b-a17b67fdb8cd","year":2017},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.668743Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:eefc470b137c2ffa469bd0781ed912a937f59975528cd154faa49c65cee03750","observation_id":"10253737-19a2-4441-b2b6-acf305d14386","resolution":{"observed_at":"2026-08-10T20:27:18.295188Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.281331Z","title":"Gandhi and A","venue":null,"work_id":"af5b17b1-9fa3-4a34-8f5d-1193be0a4369","year":2021},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.672146Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:9215dd70ef36e643182dc9aeff5e1f4c827ef4f133763c65db071c17050799f5","observation_id":"35f44e2c-06d2-42cf-8197-5a29dd3ba30f","resolution":{"observed_at":"2026-08-10T20:27:18.284424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.271324Z","title":"Geyer and S","venue":null,"work_id":"2133a88f-abee-4c56-b34a-249e6dda1e37","year":2019},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.676228Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:f8684b013b8828aaaf19599eebb87ff35ae64ccfe79815fefbaeb2a35093ae67","observation_id":"1bea2551-685a-4bbc-8256-2a911e91c90a","resolution":{"observed_at":"2026-08-10T20:27:18.275193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.260627Z","title":"Gilmer, S","venue":null,"work_id":"13d49b10-f7e0-443e-99bf-4175d19d5a74","year":2017},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.680327Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:063bc4a75400d7a2359c0ffed635219123d2152aa97df636c32d8179eeae5009","observation_id":"fcfd90e6-1f81-4cde-8939-b70a3ded32b8","resolution":{"observed_at":"2026-08-10T20:27:18.263994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.250853Z","title":null,"venue":null,"work_id":"ba1dbd07-4984-4195-87cc-984a5b74137e","year":2017},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.685960Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:4723a35c66f419442a5bcae4943beb2777d4f3439ef9dde23f793dae83739a25","observation_id":"552f7703-85be-415b-b852-a8770b06054b","resolution":{"observed_at":"2026-08-10T20:27:18.254339Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"1709.05584","last_updated":"2018-04-10T15:26:32Z","snapshot_observed_at":"2026-08-18T09:21:00.680683Z","submitted_at":"2017-09-17T00:19:33Z","title":"Representation Learning on Graphs: Methods and Applications","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.05584","snapshot_observed_at":"2026-08-10T20:27:16.694625Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.694625Z"},"links":{"cited_paper":"/paper/1709.05584","citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:8e1e06fc91ec8f12a0d5d24517aeac79f154abb9fed971faf083b95aa6b7d99b","observation_id":"f6557ac1-c06a-491c-b931-4329ff0adb65","resolution":{"observed_at":"2026-08-10T20:27:16.694625Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.700413Z","title":"Hochreiter and J","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.700413Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:55ea549d6e1bfa2b95c09e6d880c7d392bc2904f1370a6c3c55452ce4c9971b6","observation_id":"eb7f5527-c2e7-4c10-bd70-ba0e41e28b81","resolution":{"observed_at":"2026-08-10T20:27:16.700413Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.15556","last_updated":"2022-03-29T13:38:03Z","snapshot_observed_at":"2026-08-09T19:52:33.533277Z","submitted_at":"2022-03-29T13:38:03Z","title":"Training Compute-Optimal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.15556","snapshot_observed_at":"2026-08-10T20:27:16.715754Z","title":"Hoffmann, S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.715754Z"},"links":{"cited_paper":"/paper/2203.15556","citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:e1040fe09a0f5efbcfe48550657ef9d6008da1942970ed40e3d00d606f29f11e","observation_id":"e9477af1-d448-45e2-8ddf-c61f82296b52","resolution":{"observed_at":"2026-08-10T20:27:16.715754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.230082Z","title":null,"venue":null,"work_id":"fee47305-d398-4831-b64a-d2cee07f32b3","year":2024},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.719784Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:ce7cf9af6a1d8426d1832e84406f6209a4fb19c6436c4331e443df49e0eefb72","observation_id":"059fb3a6-2d0e-4931-8431-aa6ef9913153","resolution":{"observed_at":"2026-08-10T20:27:18.237129Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.211466Z","title":null,"venue":null,"work_id":"bcfd6b4b-2996-402a-a6b9-6652407773a9","year":2021},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.723125Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:619144e30edc732e091afcc58fc364f4c5846d4f1dbeda6edac66c13f0f56861","observation_id":"4ea14880-3263-490b-b070-e6e0b8966b04","resolution":{"observed_at":"2026-08-10T20:27:18.216568Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.199550Z","title":null,"venue":null,"work_id":"d31b8fdb-8c3c-4e06-b979-88e3495c7be2","year":2020},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.726918Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:620659c8d0b98485f54c91088eacf150c78fb9d8c540cf7674163ddece2dc973","observation_id":"a0577c86-d3e3-4a3d-8fda-991ab508c42b","resolution":{"observed_at":"2026-08-10T20:27:18.203156Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.161715Z","title":"Huang, T","venue":null,"work_id":"ae7f81ff-8a9e-44b4-bae1-d963f5fdc368","year":2018},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.731013Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:2d0322f69074b6fe47e35a2c19e562449a430b5e58a975055c45296354d133b5","observation_id":"177beedb-969c-4c2f-a637-99c58d2883c9","resolution":{"observed_at":"2026-08-10T20:27:18.185546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.147107Z","title":null,"venue":null,"work_id":"a6024c5c-2ca2-4435-b297-4da69150391c","year":2020},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.737027Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:be553521e3257f19aaec4cc1d0292ed98fe293788ba0844ed1d42134d82ac6a2","observation_id":"b3441d80-778e-4f54-b413-4e1440e07abf","resolution":{"observed_at":"2026-08-10T20:27:18.150619Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.129183Z","title":null,"venue":null,"work_id":"fd918b71-c7fe-4091-8c16-a49a15357ad2","year":null},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.740647Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:2c6481b68c7602534b16319df57d232a54f41f504aaf898162edd513d8b1d8ad","observation_id":"dc304077-633f-46a8-a0a9-d1ce5a32f5f3","resolution":{"observed_at":"2026-08-10T20:27:18.136284Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.101049Z","title":"Jiang and J","venue":null,"work_id":"46eb53e8-9991-4f4f-8ac6-3127062814e6","year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.750836Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:912a2692d062d5ed4525c1c85acf2ce1c544c6689a54a24291a0a906d7580a7d","observation_id":"779d86a8-9bc3-427a-a4f6-575718e185b2","resolution":{"observed_at":"2026-08-10T20:27:18.106135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.080690Z","title":null,"venue":null,"work_id":"ad149d48-65f6-466b-bbdd-24fe49699220","year":2021},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.756148Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:4c50b0d8ef170c6ea4962e1b0147649c48bcde64a588ee1245b2b29b680db44b","observation_id":"0d3a8433-858c-4a8f-a5a3-c4ba633eaa85","resolution":{"observed_at":"2026-08-10T20:27:18.083895Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.068612Z","title":"Kaler, N","venue":null,"work_id":"4f274299-8318-4b75-ba4b-766c2152126c","year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.759756Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:619a242a4ec52bd30d52f08ae6eb45c55f073732ab38d5bac7f6406db2e37b60","observation_id":"2e46a9f6-ee83-498c-aafc-c01f682306ad","resolution":{"observed_at":"2026-08-10T20:27:18.072781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.051573Z","title":"Karypis and V","venue":null,"work_id":"33f037bd-e3ac-48c0-94cd-1813370868d6","year":1998},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.765123Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:2a96cf135af9fd46c6782fb6ca4ef42c7e602a013a859ca7eada1abe839e70a7","observation_id":"58651820-84c8-40db-bf33-073583715a59","resolution":{"observed_at":"2026-08-10T20:27:18.056898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-10T20:27:16.768129Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.768129Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:6d3e4cc097a12285fabf063a352236d83684ca56c6ce68f0f399018b27463c99","observation_id":"75709067-346a-4bc2-a46d-70419f53817c","resolution":{"observed_at":"2026-08-10T20:27:16.768129Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.035190Z","title":null,"venue":null,"work_id":"b7c17c7d-ddc2-4a87-86fd-f118ce91ae13","year":2017},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.772308Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:9d34df00c37d1a85eef5757c304ac6541f98f595e9bd307d5775fb875f448858","observation_id":"75f4de65-7267-42e8-8da8-4d1fd2f2c72e","resolution":{"observed_at":"2026-08-10T20:27:18.040666Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:18.009524Z","title":null,"venue":null,"work_id":"9a257e47-7a36-48e0-bfe1-f19b9f6a94a1","year":2019},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.776332Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:751e6bb7c29279450e1d17e63150722e778686bcaa151fba90f7d0751aa6e380","observation_id":"f920d95b-a38a-4d86-b56e-1ebfdc6ff230","resolution":{"observed_at":"2026-08-10T20:27:18.017324Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07739","last_updated":"2020-06-13T23:00:22Z","snapshot_observed_at":"2026-08-16T06:19:36.364672Z","submitted_at":"2020-06-13T23:00:22Z","title":"DeeperGCN: All You Need to Train Deeper GCNs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07739","snapshot_observed_at":"2026-08-10T20:27:16.780089Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.780089Z"},"links":{"cited_paper":"/paper/2006.07739","citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:84822a0f9fc470a967a6a12f9d42f51281beb7f975f98fad228e226741425242","observation_id":"0180001a-de57-44b0-8a56-cf40ca1e756a","resolution":{"observed_at":"2026-08-10T20:27:16.780089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.992174Z","title":null,"venue":null,"work_id":"0710fb18-e48a-4508-a5d9-abff25400564","year":2018},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.783873Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:339e83cc351aed67575a5439985007d14b0cdb90edc4c703bb7614def29f9004","observation_id":"71586955-f700-4193-ab5b-c5075518f7d2","resolution":{"observed_at":"2026-08-10T20:27:17.995867Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.978200Z","title":null,"venue":null,"work_id":"3d4e6c91-7c1e-49d8-af84-4ab886c7aa58","year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.786941Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:6217d6597f713db44847a5fb9b5e313242628f06ffc46691b04068cc5eaf4aa6","observation_id":"d65d4b9d-2b87-4ce5-b518-db6913271aa4","resolution":{"observed_at":"2026-08-10T20:27:17.984757Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.958132Z","title":null,"venue":null,"work_id":"73002d78-a9a0-40ea-9aed-9a2df35e5a85","year":2020},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.790248Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:28919f12cae35558492b3e92960135d0a2ed0d72f24c2767e744fd8f7eb4e3ab","observation_id":"c15c735b-7721-4cfd-8ade-dddc7139bf26","resolution":{"observed_at":"2026-08-10T20:27:17.963837Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.934752Z","title":null,"venue":null,"work_id":"5b8ce13e-fdd1-4da2-92fc-ab7f6387b0b0","year":2023},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.793135Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:cb93dd7e8378dcf99742d94469d286d14cdcb4605185c81943c0e4b20b640ef5","observation_id":"eae61e32-97df-4c1a-b290-ecafac6dcdf9","resolution":{"observed_at":"2026-08-10T20:27:17.947501Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.920871Z","title":null,"venue":null,"work_id":"2f85daec-86a0-4a6a-8a61-71d8f0624b46","year":2018},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.808994Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:fbe0dfbd9814d0d277765b4b00cd91cd5979d258d2d25b264e05281693f7ac10","observation_id":"94c4154f-acb6-4417-97bc-bdc0e0702685","resolution":{"observed_at":"2026-08-10T20:27:17.925125Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.874291Z","title":null,"venue":null,"work_id":"46bc71e6-3ebe-4204-a6f6-1dd7a41223df","year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.819186Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:4ffc44b9e502f0fd4d705300f6e790ed5b663b9bd141bceeb85f8726e9f4b8f1","observation_id":"d148fb46-6e26-4c65-8e88-76e9bb9b5056","resolution":{"observed_at":"2026-08-10T20:27:17.890370Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.864749Z","title":null,"venue":null,"work_id":"dd70aea0-3bb7-49a2-a97d-8663deb8ab2c","year":2019},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.822034Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:c50776efd0318defce72a6f9ff30687c82f4b3b20e9d895facd221875692b8ad","observation_id":"88452000-ab0d-4cfe-b183-a35a36617a17","resolution":{"observed_at":"2026-08-10T20:27:17.867807Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.842403Z","title":null,"venue":null,"work_id":"270a66be-45e5-4d6e-b7e0-ad418b3d052e","year":2021},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.834747Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:d7635bf8edc71625f3e26ac6f0a9b7df5496b5a50a96eb08542705a11b4770f9","observation_id":"f17d7a55-bdfe-40f8-9fe6-9ebcbc0e26c0","resolution":{"observed_at":"2026-08-10T20:27:17.846208Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.822570Z","title":"Ong and P","venue":null,"work_id":"9c7e2092-cc7e-486b-8efa-13da6b3e4971","year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.863619Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:1d741c5afc390bc95ce5565c731e2ffae310a8651fb1496c6bc9a02a696d50ce","observation_id":"e2273748-c459-4617-9ae5-113272fdd5d0","resolution":{"observed_at":"2026-08-10T20:27:17.826704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:16.867164Z","title":"Paszke, S","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.867164Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:5ac7d06f6dc48d0ef2bad4edba5b6b4dd3ae226724206ec14d5c37a902b1be8b","observation_id":"08609b4a-adbc-480e-b260-817aad691a0f","resolution":{"observed_at":"2026-08-10T20:27:16.867164Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.807356Z","title":null,"venue":null,"work_id":"2480ba83-c568-437f-b186-d93d8b3ae276","year":1937},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.870350Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:cf0ba3a8103f7c18b2180514ec2737712fe1ad6a970c1092220114600fc76acd","observation_id":"e30cdb07-8f57-4786-a3b8-2df93fffec9c","resolution":{"observed_at":"2026-08-10T20:27:17.811648Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.797497Z","title":null,"venue":null,"work_id":"3959e8eb-0e7f-4aea-8dc0-38fc6bfa6aad","year":2023},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.874737Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:07cc6f303ba6130546866dbd4dbf5a23f5e744f55420db49f0c9f7b53cf77e4e","observation_id":"04971f10-5f86-4b8c-8e3a-4aadda4e4b25","resolution":{"observed_at":"2026-08-10T20:27:17.800489Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.788058Z","title":null,"venue":null,"work_id":"68fe40dd-91c9-493d-8cfd-1739a01cc35a","year":2023},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.878808Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:a4add0638f7fb5e3ff9619c0da86141b09da007b05d6b039ace0c12358ab2f97","observation_id":"c79a44f9-e8a9-4dce-948c-488d93e71bf9","resolution":{"observed_at":"2026-08-10T20:27:17.790928Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.763067Z","title":"Sinha, Z","venue":null,"work_id":"e255e9f0-4927-43bf-a406-6e849f48c219","year":2015},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.882814Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:b6b35dc96d3b51e69c16cc070e8f565c9cd740ccaf9b69b69c96ea418ee65932","observation_id":"01fafe27-e624-42c9-9346-84bbbab7f380","resolution":{"observed_at":"2026-08-10T20:27:17.767113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.733566Z","title":null,"venue":null,"work_id":"3b761f14-82b4-4e4c-8143-30296a7fe9d2","year":2020},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.890173Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:6ac2b3c61c8b745cc1d8cde1e9248c5a16bed2b7fd2c6b8743a97d4f9305e84f","observation_id":"3bd1f2c8-71ed-48b3-a750-14b167416da4","resolution":{"observed_at":"2026-08-10T20:27:17.744752Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.704756Z","title":"Suarez-Varela, P","venue":null,"work_id":"245db34c-accf-47f3-a8d3-4c6030f96a47","year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.896922Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:85840031fc3cb628da4c8aaca24931bf540c703e1adcee120346b4276a478263","observation_id":"b1f930a9-4713-46a3-80bc-a7e7b0100d95","resolution":{"observed_at":"2026-08-10T20:27:17.724198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.690913Z","title":null,"venue":null,"work_id":"5fb7eedb-56e1-4fea-8f0f-35d28a6e14bd","year":2023},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.902961Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:431411459b6920d83eba838bc9e54b3decfea2f08f48cf91d6bbdf9eae62fe3f","observation_id":"fe13f9fb-7c70-48ff-a006-6e32a4491ee9","resolution":{"observed_at":"2026-08-10T20:27:17.694097Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10863","last_updated":"2023-05-18T10:34:23Z","snapshot_observed_at":"2026-08-18T04:05:57.483982Z","submitted_at":"2023-05-18T10:34:23Z","title":"Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10863","snapshot_observed_at":"2026-08-10T20:27:16.914748Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.914748Z"},"links":{"cited_paper":"/paper/2305.10863","citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:d30f2d03e5f03a11448974bed83fce31ce970d81c99512adffb6679b0f4e4012","observation_id":"773bfda2-fc6a-42b4-8d29-8d420a5fdc86","resolution":{"observed_at":"2026-08-10T20:27:16.914748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.682612Z","title":"Thorpe, Y","venue":null,"work_id":"60dd28c3-7685-4f34-829e-d4e853ec9539","year":2021},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.940355Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:a260b5630b0b3ac2f3f5277accc4b7eeaffdbcb8aa7afca57747e74991622374","observation_id":"eb5ec17a-d2e7-41cd-b7f2-4058419278ec","resolution":{"observed_at":"2026-08-10T20:27:17.685787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.667201Z","title":null,"venue":null,"work_id":"7f84c11c-c6a5-45d4-bbd4-42d3bae949c3","year":2024},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.946415Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:5dd0245f7ba78a2935e02267b2d5ee590774b1bd2eb35095df089e7da3decffd","observation_id":"adf65c3e-234a-4362-bd38-33055a0422eb","resolution":{"observed_at":"2026-08-10T20:27:17.676157Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.658305Z","title":"Veliˇckovi´c, G","venue":null,"work_id":"5739a865-61be-4c79-9bdf-96dc9354a443","year":2018},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.949507Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:57c38c9ccb2ad76f5c5ffb4114c881c4977da4bffa98f76a5817f059d6fc0ff3","observation_id":"d7014d07-46a5-4163-b26c-77a67918a604","resolution":{"observed_at":"2026-08-10T20:27:17.661970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.630536Z","title":"Virinchi, A","venue":null,"work_id":"72bed11d-db44-4d36-8a68-eca01ec1556c","year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.952408Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:0de108723e1322de9f65ba62fb0393a75c6155be7b12bccbc16f9a38613648fb","observation_id":"487647f6-ec71-4048-927c-fa78e1d4af8e","resolution":{"observed_at":"2026-08-10T20:27:17.633796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.615253Z","title":null,"venue":null,"work_id":"cfd9359a-2a64-4de1-a391-6e9375f7c663","year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.955196Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:361b6db54bfa2a593802939b76b38acf1bb7f5a31964ec693d0cdc96e9cc7ab0","observation_id":"daef199b-ae57-43be-9887-5aafa3c7f524","resolution":{"observed_at":"2026-08-10T20:27:17.618316Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"1909.01315","last_updated":"2020-08-25T15:46:13Z","snapshot_observed_at":"2026-08-18T10:54:34.717319Z","submitted_at":"2019-09-03T17:10:28Z","title":"Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.01315","snapshot_observed_at":"2026-08-10T20:27:16.958390Z","title":null,"venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.958390Z"},"links":{"cited_paper":"/paper/1909.01315","citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:c771ae63fed86baeaa1c6d40078c2fae723d6fa7596832c062db126f9d12da85","observation_id":"914d767c-c188-4d7d-9718-b32611e5e7ea","resolution":{"observed_at":"2026-08-10T20:27:16.958390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.604443Z","title":null,"venue":null,"work_id":"1d01c37a-5ee6-439e-8dd1-4bd996a22a91","year":2021},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.961850Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:105ccd36c92dd976ff12bda9a937d7969c08e80df6cc7d0a7a6340d82abb39fa","observation_id":"d41797da-0d47-4852-984c-3cb09c5e4da9","resolution":{"observed_at":"2026-08-10T20:27:17.608087Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.590570Z","title":null,"venue":null,"work_id":"b00f3ccd-4a03-4bc2-9510-b5efb131f37f","year":2023},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.964595Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:4b9d364dddb454803ff8890c61611a47106ee01a85026fe3b043bf84feac4043","observation_id":"3173db39-f92e-45ce-baa1-9bd4da8ddb2d","resolution":{"observed_at":"2026-08-10T20:27:17.598638Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.577245Z","title":null,"venue":null,"work_id":"9d158744-dda8-4dc6-aa97-43617d42dd7c","year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.967186Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:ee1185d90627b9b68b81b399db0a11c9a5e432e58c6e281ce00147c03fdf89aa","observation_id":"89f15e35-0674-40bb-b170-6178b67672ab","resolution":{"observed_at":"2026-08-10T20:27:17.581240Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.567852Z","title":"Wen and Y","venue":null,"work_id":"c03bf134-6943-4867-bfe8-2afcf256d833","year":2023},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.969985Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:b84b95c29cc60e9f871d0d731ed0e04326e5bff0c59d13736cae798df367dc2c","observation_id":"c4be02e2-aef1-4154-aa19-0f8a99103974","resolution":{"observed_at":"2026-08-10T20:27:17.571470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.554416Z","title":null,"venue":null,"work_id":"0282899b-575a-46a8-bea8-0cda82c3a327","year":2020},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.973152Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:b78367630f1e9bce172773b4f618420e33dd05a1dc09f18922436ce0ac4acaee","observation_id":"d9b9dc25-442c-465b-8380-775f77321e0e","resolution":{"observed_at":"2026-08-10T20:27:17.558401Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.533918Z","title":null,"venue":null,"work_id":"9e300f4d-6816-4367-9da9-af32fe5c7937","year":2021},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.976641Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:e1f961359eddf5fd16a2193a9d73b55db88294bf59b715ea120524f7e11f9c7e","observation_id":"5ed8d96b-4ede-4ed9-895b-b32cf37df0a0","resolution":{"observed_at":"2026-08-10T20:27:17.545597Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.509610Z","title":null,"venue":null,"work_id":"b2b7fdfa-42e3-4e44-a134-2639f4c56d49","year":2018},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.979982Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:1c184474006f1960713a3233587cc9b404445a298795abc90f41e5b93a4fe7a5","observation_id":"c8f9b92d-0376-40ef-aedd-cd06782b36fa","resolution":{"observed_at":"2026-08-10T20:27:17.514756Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.493613Z","title":null,"venue":null,"work_id":"ed23e285-8839-46e2-a8fe-fc21fd156882","year":2019},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.983212Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:540e8083067a1cabc656d4fa71351658b347de0c37fa8da54449f4a31e45f1cb","observation_id":"d86d0be9-4b2b-4dbb-9db3-7651d8b724ad","resolution":{"observed_at":"2026-08-10T20:27:17.496881Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.485325Z","title":null,"venue":null,"work_id":"beaea6c2-80c3-4718-8d37-895a54ff20e8","year":null},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.987927Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:06ae37b58139a3712a1611f89c328e442799492c53269979c358bd799367bf5f","observation_id":"34f1bc4b-d0c4-495f-8fb0-4bc04f9bde4b","resolution":{"observed_at":"2026-08-10T20:27:17.488656Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.475626Z","title":null,"venue":null,"work_id":"8d6257f3-1328-4299-b990-371cbe142db3","year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.991989Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:46d59c9d5d928c1f245bbb0678122d55d7cbaeccee02cc648246606686d7bef9","observation_id":"f4ace21e-d1bf-40d0-88f4-28ac89edf827","resolution":{"observed_at":"2026-08-10T20:27:17.479116Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.464360Z","title":null,"venue":null,"work_id":"b5b71a1f-00f4-4646-a0cb-a59b71f6d96f","year":2018},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.996202Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:b0b4089f513b0bfb427883b4d76a59dfd90a2d46da9db4c275fb64ce0c28b0ff","observation_id":"db52cb46-d7e0-457a-a4e7-f9a585fbdff6","resolution":{"observed_at":"2026-08-10T20:27:17.468501Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.434748Z","title":null,"venue":null,"work_id":"90c669de-ea3f-4100-b412-e47a8b17a49a","year":2020},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:16.999920Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:67b70a6a9041eff48df56fdb89e2fdad859b67dcaff6983cb54d20740d0228b8","observation_id":"3e5a85c7-63fb-463c-9459-b2cc7f00df1b","resolution":{"observed_at":"2026-08-10T20:27:17.442946Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.408636Z","title":null,"venue":null,"work_id":"1e7a0645-5ea9-4c0d-b77a-6b429f2bf39f","year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:17.004024Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:bc41f96df1e3a8be5a158df8f07a508ee6316d7c26fdd8c7ba30b653547c8efe","observation_id":"f8b98b47-f904-4122-8618-1bbbb7f3eea2","resolution":{"observed_at":"2026-08-10T20:27:17.414670Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.398079Z","title":"Zhang, X","venue":null,"work_id":"33cd249e-424b-486d-98d4-3b72f5ee0913","year":2020},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:17.007415Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:9ce6b88f0a1afb7f5dc499020e1edd8b7d88e50418726c1385b2477eb65dea63","observation_id":"ec6ce680-4fb2-4797-938c-04f5266caebb","resolution":{"observed_at":"2026-08-10T20:27:17.402073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.382039Z","title":"Zhang, Y","venue":null,"work_id":"e06e6df5-7633-4aa5-98f8-1de8d0e9dc23","year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:17.011866Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:9230bb5116d6904129665e20d7e94c397bb42a57c4e524f6deadfb61092772bb","observation_id":"8f156de8-6aad-4c89-8459-048501a672d2","resolution":{"observed_at":"2026-08-10T20:27:17.388077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.368879Z","title":"Zhang, A","venue":null,"work_id":"9b770b3b-d26c-4571-8e30-bdd0b07e1d09","year":2021},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:17.018395Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:22ecabd3140d872fb5922e73837e290154637ab37d0930e54c01b4aede60dcb9","observation_id":"d7e09a4b-630d-44c4-9d86-09ac48ba2ca2","resolution":{"observed_at":"2026-08-10T20:27:17.372207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.352893Z","title":"Zheng, H","venue":null,"work_id":"4b3c6076-0949-44b4-98cf-2f021416bb0f","year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:17.026964Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:d71fdfbadbd13f7905e29ece01170667de58a7da78d7956e403821e2df6dce64","observation_id":"f6e648b5-858a-4e25-ba40-d39b35344afa","resolution":{"observed_at":"2026-08-10T20:27:17.359772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.339180Z","title":"Zheng, C","venue":null,"work_id":"3636627e-9efd-4006-8e80-9e4ede1c9a75","year":2020},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:17.031133Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:854c204b05d30e7649b87f1857bffc7b6d15c352c3ce328731ef79dc2863b936","observation_id":"4cd5f4ba-e6c3-46aa-aa16-1d6e0a87572a","resolution":{"observed_at":"2026-08-10T20:27:17.343470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.302168Z","title":"Zheng, X","venue":null,"work_id":"750aa8a3-1afc-4772-9a6a-2c5e108aa131","year":2022},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:17.034511Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:8be908e76a95c61693ad11ddc6786ce8ee84047e0de9adf7d5548235c0cfda06","observation_id":"6b035d68-a803-4984-81c1-ede8aceaddbe","resolution":{"observed_at":"2026-08-10T20:27:17.315327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.287875Z","title":null,"venue":null,"work_id":"822996f9-49f5-4c5b-9aa0-473c0ef2a5a3","year":null},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:17.037043Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:ec344ece5eea9f377a8391d15b328e853a188c96cbe070a0a293d156e700213b","observation_id":"de6f2b27-031e-4002-a725-317cad651b96","resolution":{"observed_at":"2026-08-10T20:27:17.291954Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.262413Z","title":null,"venue":null,"work_id":"8cac0e6c-ed0a-4a3a-a2ce-d9a4ba40d85b","year":2020},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:17.039744Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:066f83933fd43d7ef249489fa23b7ff4408892be420ef114f7f78c53de242719","observation_id":"42f23579-59cc-4b2f-a900-b05d0729a6e3","resolution":{"observed_at":"2026-08-10T20:27:17.275458Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:27:17.241036Z","title":"B Evaluation on Recomputation Policies In this section, we evaluate the performance of OMEGA ’s recomputation policy against RANDOM and IS policies (§5.2.2)","venue":null,"work_id":"25515d72-c4c1-4f81-aad7-e23199e70c9b","year":null},"citing_paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs","version":1},"reference_index":102,"source":"pdf_text","source_observed_at":"2026-08-10T20:27:17.043294Z"},"links":{"citing_paper":"/paper/2501.08547"},"observation_digest":"sha256:952fca1418bd44f3f8c27cb2033e72fad220fb21fea656e0d099e2b3b4f691b7","observation_id":"c0f4ce08-531b-4c7b-9ee8-b62cb7317935","resolution":{"observed_at":"2026-08-10T20:27:17.249385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2501.08547","last_updated":"2025-01-15T03:14:18Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-18T09:26:32.661759Z","submitted_at":"2025-01-15T03:14:18Z","title":"OMEGA: A Low-Latency GNN Serving System for Large Graphs"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":75,"verified_exact":0,"verified_fuzzy":25},"total_outbound_references":102},"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 100 of 102 outbound references and 2 inbound Pith citation observations for arXiv:2501.08547."}