{"as_of":"2026-08-16T15:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:66fc82421469ff5f6b342136976d04d79a36e71d3da3575ae2afbf1fa0430529","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T19:49:44.111230Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.09107/citation-record","integrity":"/paper/2509.09107/integrity","json":"/paper/2509.09107/citation-record.json","paper":"/paper/2509.09107"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:49:41.991537Z","title":null,"venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:41.991537Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:1663fe75ba07cda5e14b4e8ae9c73969a3e0620bb343f9146840af3f4aa3a896","observation_id":"e0adecc4-789e-4ad3-b4c4-f7f7688726c4","resolution":{"observed_at":"2026-08-04T19:49:41.991537Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-04T19:49:42.068445Z","title":null,"venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:42.068445Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:f9f8d0e95e5a748edc18e172de46a52c82f7a960cab17d994de88acac653555d","observation_id":"44d9d399-f4f2-475a-a1d1-78214fe38d75","resolution":{"observed_at":"2026-08-04T19:49:42.068445Z","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":"10.1007/978-3-030-57808-4_19","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Lecture notes in computer science","work_id":"01d2b9f4-cd50-4729-9def-07a626fc2a48","year":2020},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:42.151513Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:ba82ba2abe6a4faadf721a30e32d26edd408d4e0183641dc68e83840c86a2fee","observation_id":"2463afd0-dca2-4b99-a5b3-ec57e2236e07","resolution":{"observed_at":"2026-08-04T19:53:41.929023Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T19:49:42.227165Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:42.227165Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:1e4c54ed2318569f3403e9df712a78811406e56944a62ad5d2b97d6bc2386072","observation_id":"79198dcc-9958-4ec9-bb3e-c678438326a2","resolution":{"observed_at":"2026-08-04T19:49:42.227165Z","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":"2026-08-04T19:49:42.287186Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:42.287186Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:1906e572c6338c00eecb86ce58b4dce8aa640136796c703e357d97fe0ac0e2d5","observation_id":"3e80f6fe-ed68-4e82-b9e1-e81530cf0c29","resolution":{"observed_at":"2026-08-04T19:49:42.287186Z","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":"2026-08-04T19:49:42.342246Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:42.342246Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:89a6cbc3b25720f1e69ebcaa7fcac33aeb4d3ad0408415d5854d9ca9025005f8","observation_id":"5dea88fb-8581-4b56-824f-ed18a265614c","resolution":{"observed_at":"2026-08-04T19:49:42.342246Z","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":"10.1007/978-3-319-78381-9_12","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Lecture notes in computer science","work_id":"a1d48063-dbca-47c7-8675-5efc92ca5d1e","year":2018},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:42.433167Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:02ae333abd4e64e6182e338626ee1132ef66044ce78a9a58e21c2253b39daba1","observation_id":"864f0411-264c-4a38-a905-2bf3856b0f40","resolution":{"observed_at":"2026-08-04T19:53:41.692707Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-319-70503-3_20","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Lecture notes in computer science","work_id":"9cd0c20c-a2f0-4df8-869a-f597d0f201c3","year":2017},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:42.491219Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:209e116579e32c5cde7a118f119648150ba3c17c6b66bed81e108b555925f59a","observation_id":"1d507684-b426-451f-ab2f-403feca54817","resolution":{"observed_at":"2026-08-04T19:53:41.458058Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T19:49:42.547899Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:42.547899Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:20d03cd278360f8c0b1fedf3db765ea58e812419d84006776264bcad6bfb0b5c","observation_id":"afa1aa2b-57d7-4977-933a-0bb82d526ab7","resolution":{"observed_at":"2026-08-04T19:49:42.547899Z","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":"2026-08-04T19:49:42.603912Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:42.603912Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:9cbf82629661ad7537b07b84d35caf9fc724538fc1fab7a037b86787e8fc9339","observation_id":"0f7a1bbf-ede3-448f-aec1-9919ef3f22aa","resolution":{"observed_at":"2026-08-04T19:49:42.603912Z","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":"2026-08-04T19:49:42.655716Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:42.655716Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:1ae34740f7756cf0b86c833ca115689844776e5a577b0324b9397aa48edfd521","observation_id":"4b8ea472-08a7-4db0-b32b-009d3b697d41","resolution":{"observed_at":"2026-08-04T19:49:42.655716Z","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":"2026-08-04T19:49:42.671932Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:42.671932Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:6a6c8d21aca5bfbb9223213f623e76f23ed05c01c5e1375f23ffbfb8f4463736","observation_id":"10a00a1a-39c1-4de3-96f8-1d198c65374c","resolution":{"observed_at":"2026-08-04T19:49:42.671932Z","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":"2026-08-04T19:49:42.843009Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:42.843009Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:c0ee65332e96b505752903fe0bf7d2f712bb35dbd6093bef6e1783c148d24158","observation_id":"697c4bdd-1e44-409e-a533-6b905ab73b8a","resolution":{"observed_at":"2026-08-04T19:49:42.843009Z","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":"2026-08-04T19:49:43.031966Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:43.031966Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:1be86f1e6d1c7a7c473e9f5364dfe5643447035ce9be63d0b35636cff9a9980d","observation_id":"a44c4fe8-fc1d-467c-8b83-5536462b6576","resolution":{"observed_at":"2026-08-04T19:49:43.031966Z","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":"2026-08-04T19:49:43.205598Z","title":"Hamilton, Rex Ying, and Jure Leskovec","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:43.205598Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:87d3d003b7b1aea7facb0a3db76293bf38e0f9fbb16bb23688409af4a23c592a","observation_id":"9503f204-09a8-4bf7-9aa2-3ebfecb93670","resolution":{"observed_at":"2026-08-04T19:49:43.205598Z","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":"2026-08-04T19:49:43.324398Z","title":"Hamilton, Zhitao Ying, and Jure Leskovec","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:43.324398Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:1333ae91107d7298af95a8e6e353e7d403b11fa9f26f7deb051aa26247630963","observation_id":"f749431a-eafb-41bc-8996-3602a1181c32","resolution":{"observed_at":"2026-08-04T19:49:43.324398Z","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":"2026-08-04T19:49:43.436100Z","title":"Ozkaptan, Attila A","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:43.436100Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:df8712a43cb4a785940f081749b4684c902beb5229a6af8ca492480d2cb580cb","observation_id":"6b94c3f8-5102-4113-9783-f1c523e18075","resolution":{"observed_at":"2026-08-04T19:49:43.436100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.12091","last_updated":"2019-10-31T16:14:17Z","snapshot_observed_at":"2026-08-02T22:38:12.443280Z","submitted_at":"2019-10-26T15:52:42Z","title":"Understanding Isomorphism Bias in Graph Data Sets","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.12091","snapshot_observed_at":"2026-08-04T19:49:43.586961Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:43.586961Z"},"links":{"cited_paper":"/paper/1910.12091","citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:61e5f18913355f8dbf26f5ec829cec7b06b8f86f14f446c63a3971ef3285863e","observation_id":"6419b2bd-e6be-46b5-86c2-aec1971bcbb7","resolution":{"observed_at":"2026-08-04T19:49:43.586961Z","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":"2026-08-04T19:49:43.649543Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:43.649543Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:27ac99e44e0cdec0b6a87b6b6ba2de2bda659cb43b8d78047706bfc728284c97","observation_id":"b95a6a77-2398-4aff-a522-97eff55aa555","resolution":{"observed_at":"2026-08-04T19:49:43.649543Z","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":"2026-08-04T19:49:43.807693Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:43.807693Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:dbe99daf95971d99333e40c1649c60e3c9d67264709d08d6ff5ffac894fdc837","observation_id":"6b4db99a-b371-46f9-abd8-4bdde5afd440","resolution":{"observed_at":"2026-08-04T19:49:43.807693Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-08-13T11:38:10.906031Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-04T19:49:43.905758Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:43.905758Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:80a750d3cf311970dc23691a31d71cfd94d384b420dcd958839bd82cbdf586bf","observation_id":"b04ebf5b-2b1f-4206-b39e-fcd7c0afc480","resolution":{"observed_at":"2026-08-04T19:49:43.905758Z","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":"2026-08-04T19:49:44.023497Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.023497Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:68423bdf2d693442c26a5cc75acdaeb3b350f7b21ef2eb166994431de8f32fd2","observation_id":"249b0998-db1e-4fc1-9492-4e31765d4bfe","resolution":{"observed_at":"2026-08-04T19:49:44.023497Z","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":"2026-08-04T19:49:44.065232Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.065232Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:d7bb8b297cb31b05e025cebd4579c2e61e525cec63041172f2ef5d1ae6f39f94","observation_id":"a01ffe00-afd0-44de-849e-fc927d9a4841","resolution":{"observed_at":"2026-08-04T19:49:44.065232Z","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":"2026-08-04T19:49:44.067923Z","title":"Sengamedu","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.067923Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:0b16cc55f206ada71d4e41d35dab054e1b591c08e0c0145f51d39b2f24303e99","observation_id":"28a70345-5422-4473-a150-e4eaa2151e8d","resolution":{"observed_at":"2026-08-04T19:49:44.067923Z","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":"2026-08-04T19:49:44.070633Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.070633Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:ce18af3565c719e1b32b4bcd75b045c80056f831e361c9f94dc5a774a8001e61","observation_id":"4ca59667-501f-4dc0-b183-908355b80cbb","resolution":{"observed_at":"2026-08-04T19:49:44.070633Z","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":"2026-08-04T19:49:44.073039Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.073039Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:262adfc64b336467d0e4bbcd8f23c19d366a9cde8785329e62cfe3e90d8f4d95","observation_id":"298fa762-8fa4-4252-8e6c-68ef67a9dec9","resolution":{"observed_at":"2026-08-04T19:49:44.073039Z","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":"2026-08-04T19:49:44.075626Z","title":"Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin Lauter, and Farinaz Koushanfar","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.075626Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:0819f1ec32c3f5ee3956cbdf4b6ea95d315da810865874a3814d4b32165aae8d","observation_id":"244ad4ad-c30a-4826-8a62-4a88078b9374","resolution":{"observed_at":"2026-08-04T19:49:44.075626Z","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":"2026-08-04T19:49:44.078280Z","title":"Sadegh Riazi, Christian Weinert, Oleksandr Tkachenko, Ebrahim M","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.078280Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:9b625c6f0ac916de70c13fb7a49a426eb9ccb612997537b64a5c6e116e396b79","observation_id":"7ea9bb87-2f93-4386-952e-5a6e38e776db","resolution":{"observed_at":"2026-08-04T19:49:44.078280Z","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":"10.1109/icmla.2015.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"32d64290-4cd2-4cfb-b2ed-1d3fc855cb73","year":2015},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.080697Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:c4e73e7a5c38cbc8f8d179777e349e52f7ee373a44852f24a5fdbc4fb280b88a","observation_id":"1f6b1503-f8f2-4930-98a4-0f889c061b47","resolution":{"observed_at":"2026-08-04T19:53:41.186054Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T19:49:44.083153Z","title":null,"venue":null,"work_id":null,"year":1979},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.083153Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:b0729dc153b1d9ea8b21cf1d6197dcc62bc39ab9d0004a3726431f0b06ddf672","observation_id":"3e9625c5-30b3-4580-be9c-d2e67e56ee7d","resolution":{"observed_at":"2026-08-04T19:49:44.083153Z","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":"2026-08-04T19:49:44.085498Z","title":"Hubert Chan, Christopher Fletcher, Ling Ren, Xiangyao Yu, and Srinivas Devadas","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.085498Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:478c0b3396b45106c57ba6c9e6e9b768968b9ccb60f85dab3ebce4f22a080e64","observation_id":"3c35b823-5b77-4b4a-afb9-b4e2921cf60b","resolution":{"observed_at":"2026-08-04T19:49:44.085498Z","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":"10.1016/j.neucom.2020.10.014","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Neurocomputing","work_id":"e6e4d948-bfda-45fc-b724-8f0b66242a5e","year":2021},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.088076Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:2f9e09f00493cd5ff19061cf881e8db1965389be26abc996a2abb323ee6464b6","observation_id":"4124241e-8e27-4144-bc97-d46f35f6174f","resolution":{"observed_at":"2026-08-04T19:53:40.948008Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T19:49:44.090637Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.090637Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:55e860fdb11db6bc3d20ddef61c115c0d31ee43d32c642b1956b68c2e5087242","observation_id":"37601df0-7847-421a-a51e-9fe5a7e535aa","resolution":{"observed_at":"2026-08-04T19:49:44.090637Z","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":"2026-08-04T19:49:44.093007Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.093007Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:5ba7fcb7188ecb2f770d47e32f25a0136a4b6ec255f3dbc5145e92cf2d8e71da","observation_id":"bf0122ee-0f99-4084-8061-ed5e244e6c59","resolution":{"observed_at":"2026-08-04T19:49:44.093007Z","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":"2026-08-04T19:49:44.095419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.095419Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:15176d1afc61a82d3709a63fcfc819babcc67b5cae6d5ed88ed9c5f8fea17657","observation_id":"b746c463-d572-4f44-9a21-35f1cd896437","resolution":{"observed_at":"2026-08-04T19:49:44.095419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.05356","last_updated":"2021-03-31T12:02:25Z","snapshot_observed_at":"2026-08-12T23:53:11.820316Z","submitted_at":"2020-09-11T11:50:37Z","title":"Efficient Privacy-Preserving Computation Based on Additive Secret Sharing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.05356","snapshot_observed_at":"2026-08-04T19:49:44.100571Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.100571Z"},"links":{"cited_paper":"/paper/2009.05356","citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:6959d466d9ac25788fb97c055430bf844eca9734a5798cacd185365620d01240","observation_id":"2df50143-4e2b-4eb4-905f-e29f70b0fcc7","resolution":{"observed_at":"2026-08-04T19:49:44.100571Z","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":"2026-08-04T19:49:44.103236Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.103236Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:f3011bbec9a75ae38f326caa2ba2045a3f8f7e7dd636498b6cdd0e95eb17253d","observation_id":"a7875122-0f47-43b3-a9e4-144bf650d6ca","resolution":{"observed_at":"2026-08-04T19:49:44.103236Z","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":"2026-08-04T19:49:44.106458Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.106458Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:d36398cfc8739e84df981d61aabb965c233dd6c326e81bd1f5710fe82b8b0c9c","observation_id":"7b40603e-3e80-43c8-86ca-940fb5e22af6","resolution":{"observed_at":"2026-08-04T19:49:44.106458Z","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":"2026-08-04T19:49:44.108810Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.108810Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:554f54c9a484a22ddc7d9739fb2f1d08e1ab5513d771d029be617d89f3456328","observation_id":"17d01d81-dd77-42cf-9b75-b0fe6bd9a428","resolution":{"observed_at":"2026-08-04T19:49:44.108810Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-04T19:49:44.111230Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.111230Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:4ba5ea7282946143fadada4f0aeddfdb92e0b042317539e97dd97e7038899239","observation_id":"5bc47192-70cd-4ce6-8872-98e74c232d3c","resolution":{"observed_at":"2026-08-04T19:49:44.111230Z","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":"2026-08-04T19:49:44.098124Z","title":"Comput.(2021), 1–1","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-04T19:49:44.098124Z"},"links":{"citing_paper":"/paper/2509.09107"},"observation_digest":"sha256:5c5a4360ef747f4069d0a62c68de7027a1fc1217004314f21195bf8241957bc7","observation_id":"7d027337-91f9-41b7-a213-cd4c9018b3e8","resolution":{"observed_at":"2026-08-04T19:49:44.098124Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.09107","last_updated":"2025-09-11T02:35:33Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-10T06:17:09.652344Z","submitted_at":"2025-09-11T02:35:33Z","title":"CryptGNN: Enabling Secure Inference for Graph Neural Networks"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":34,"verified_exact":5,"verified_fuzzy":0},"total_outbound_references":41},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2509.09107."}