{"as_of":"2026-08-08T20:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cd3bdaef2cb924e502604ee4bfbbe7429279c210082a0432abbca85ab5fdb6f2","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:41:23.534443Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T15:05:36.887419Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.07428","snapshot_observed_at":"2026-08-01T15:05:36.887419Z","title":"Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI) , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18567","last_updated":"2026-07-20T23:03:26Z","snapshot_observed_at":"2026-08-08T16:17:43.321230Z","submitted_at":"2026-07-20T23:03:26Z","title":"Attacking Graph Foundation Models Through Their Shared Representation","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-01T15:05:36.887419Z"},"links":{"cited_paper":"/paper/2506.07428","citing_paper":"/paper/2607.18567"},"observation_digest":"sha256:47cb60b8459441df665edd26b2fdb27266eec16c86f452bafa31d1da6a1855a8","observation_id":"ef33e4dc-a817-4bf1-b5fe-40b71ed58fc2","resolution":{"observed_at":"2026-08-01T15:05:36.887419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.07428/citation-record","integrity":"/paper/2506.07428/integrity","json":"/paper/2506.07428/citation-record.json","paper":"/paper/2506.07428"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:23.818352Z","title":"Towards evaluating the robustness of neural networks","venue":null,"work_id":"61f7f05a-3aa3-4a0a-a64f-9bf0336c9333","year":2017},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.451453Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:71926fe4f51c29cba93dc51dcbc2d003516ede2338de317d215b1779b9c9ced3","observation_id":"1677a403-88fc-40ae-8f02-c0488722a236","resolution":{"observed_at":"2026-08-07T05:41:23.821007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"4650.2879","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:23.602446Z","title":null,"venue":null,"work_id":"cfe17cab-875f-414a-a58b-3dd831136992","year":1973},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.531578Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:81bfdac9bcebaac41b5d21a0d11573b8719ef6b64a24a44f402efdb740df5174","observation_id":"8987e0d5-8170-4a4f-9ac7-e58a56b88530","resolution":{"observed_at":"2026-08-07T05:41:23.608184Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.654785Z","title":"This is likely related to the degree distribution [Zhanget al., 2024; Zouet al., 2021 ], as DBLP has a high proportion of nodes with low degrees","venue":null,"work_id":"060e2fa8-9df2-4d00-ac11-72ce76c2d1cb","year":2024},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.534443Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:589e907a0adf263313e4242d4fffcdb6c62326bf6b53f8d6c0bfa0589b6ff606","observation_id":"72bbb462-0993-431f-9a28-1060e68eb9e2","resolution":{"observed_at":"2026-08-07T05:41:23.658240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.789090Z","title":"Let graph be the go board: gradient-free node injection attack for graph neural networks via reinforce- ment learning","venue":null,"work_id":"7d0748df-60f8-4b9b-8a1b-83c3f575326f","year":2023},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.471811Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:122fd1b75f15d9cc06343fa8ec03b4ed2c0c1c52e2005ecd19e946cc837e0e0e","observation_id":"813a0365-d3bc-4b12-af58-363a15517611","resolution":{"observed_at":"2026-08-07T05:41:23.791908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.774271Z","title":"Are we really mak- ing much progress? revisiting, benchmarking and refining heterogeneous graph neural networks","venue":null,"work_id":"f331ffcb-038a-43b8-be88-88d1b9f48507","year":2021},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.477863Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:6b1ef2819261ef058affdb83294050edaaabf14c65c7a33673c81d5b5fdf7d22","observation_id":"57ab42e3-5b50-4347-8468-84d56c2d70e3","resolution":{"observed_at":"2026-08-07T05:41:23.776951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.758595Z","title":"Is chatgpt a general-purpose natural language processing task solver?,","venue":null,"work_id":"ee246643-19d2-4204-9eb1-4f9179f16ab6","year":2023},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.482981Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:75abb38746d69ec3c4916f778ad6430daf0cce9a411de6ed475aab3c0f948e3a","observation_id":"c3072063-5b00-4926-ab4f-85d1bafd0c22","resolution":{"observed_at":"2026-08-07T05:41:23.761444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.12035","last_updated":"2024-05-20T14:03:05Z","snapshot_observed_at":"2026-08-07T19:56:46.685901Z","submitted_at":"2024-05-20T14:03:05Z","title":"KG-RAG: Bridging the Gap Between Knowledge and Creativity","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.12035","snapshot_observed_at":"2026-08-07T05:41:23.485577Z","title":"Kg-rag: Bridging the gap between knowledge and creativity.arXiv preprint arXiv:2405.12035,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.485577Z"},"links":{"cited_paper":"/paper/2405.12035","citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:f56fad294b5a60ccee3bd8848b972558877393229b956b360a28bcfb2615e1b8","observation_id":"13e02293-b2ad-4194-ba54-3b7449c13d16","resolution":{"observed_at":"2026-08-07T05:41:23.485577Z","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":"2026-08-07T05:41:23.750794Z","title":"Modeling relational data with graph con- volutional networks","venue":null,"work_id":"f025bf23-df53-4b85-a775-480e2c6d1603","year":2018},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.488563Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:a3b3eb6ceada6d74d1648085c362505efae7ffaa0081d654ddd4bdd089d05c8e","observation_id":"fb37300d-1343-4777-ba3f-490f13bd922e","resolution":{"observed_at":"2026-08-07T05:41:23.753764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.743249Z","title":"Transferable structure- based adversarial attack of heterogeneous graph neural network","venue":null,"work_id":"385daae9-a387-49b6-89e6-331100e119d3","year":2023},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.491159Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:77f90c3f4a8c9bb73608016813f668aa4ef8c8baa8f888fe33da2cef581fd549","observation_id":"cbc5abd7-f153-429c-9988-7e513aa63768","resolution":{"observed_at":"2026-08-07T05:41:23.746048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.735877Z","title":"Adversarial attack and defense on graph data: A survey","venue":null,"work_id":"3fd0fe4a-d5b9-4019-8443-72db8c958ba7","year":2022},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.493946Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:b0db0712c694f14b2c3d3c14cc834c232bbfde46a6ceedaae2f57f7e1f77bd08","observation_id":"e60844d2-c3b9-4a34-a702-299e1749ad17","resolution":{"observed_at":"2026-08-07T05:41:23.738630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.499439Z","title":"Hetero- geneous graph attention network","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.499439Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:becf4c310c36981a793cbc17387e3ee6d4286edc602d5cac3fe2bae4464bad5d","observation_id":"3882de92-ba4e-43ee-a756-2bab348fd1c7","resolution":{"observed_at":"2026-08-07T05:41:23.499439Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.12076","last_updated":"2022-05-24T13:52:41Z","snapshot_observed_at":"2026-07-06T13:13:22.359120Z","submitted_at":"2022-05-24T13:52:41Z","title":"Ensemble Multi-Relational Graph Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.12076","snapshot_observed_at":"2026-08-07T05:41:23.504528Z","title":"Ensemble multi-relational graph neural networks.arXiv preprint arXiv:2205.12076,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.504528Z"},"links":{"cited_paper":"/paper/2205.12076","citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:0556386076043eb3135d887aebb32c913bf34711d9e497870bb18951c764aca7","observation_id":"d2b3e446-c387-45bc-a31f-48af7031f4b5","resolution":{"observed_at":"2026-08-07T05:41:23.504528Z","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":"2026-08-07T05:41:23.716814Z","title":"Unsupervised heterogeneous graph rewriting attack via node clustering","venue":null,"work_id":"80c08895-8cef-4e9c-a865-381cba89fc08","year":2024},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.507414Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:6a51a7e1c6f541c75ba275b13a88399ea7929fcdf5f50bd6ce4b5319d96bb5f6","observation_id":"907fb5c4-c527-4fee-95ed-3ed4725bb0dc","resolution":{"observed_at":"2026-08-07T05:41:23.719573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.709400Z","title":"Anygraph: Graph foundation model in the wild,","venue":null,"work_id":"b5ab215a-b08b-4534-b043-8829e2572a8c","year":2024},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.509995Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:ebe763e9370761dd18a6da63fb2124147f217429e0c5738ef6a4eb08ccd93bfc","observation_id":"9f78f23b-fc28-4a11-b992-00cc9b3fff53","resolution":{"observed_at":"2026-08-07T05:41:23.712158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.702070Z","title":"Simple and efficient heterogeneous graph neural network","venue":null,"work_id":"4b83cc7c-8d99-4106-8a75-e16a61a4b2ef","year":2023},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.512675Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:85783e43bdba179653f07c201119fdd082c1d5cb8cd54702d59b54f1f2068ea3","observation_id":"758e30e4-4f9f-4b56-95e2-5278e685f69f","resolution":{"observed_at":"2026-08-07T05:41:23.704863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.694241Z","title":"Multi- plex heterogeneous graph convolutional network","venue":null,"work_id":"0d9a12c7-07ba-487e-81cf-2268d0a84042","year":2022},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.515040Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:7df37a7ac314512e405534978a86e0075c8c8c17ed2a15f9d12dd7bb3ec0d1f2","observation_id":"3acc12c1-04cb-4d3d-b53f-a13e6eca57bc","resolution":{"observed_at":"2026-08-07T05:41:23.697307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.686531Z","title":"Robust heterogeneous graph neural networks against adversarial attacks","venue":null,"work_id":"c862e14d-b54d-421d-8e30-5d254770e688","year":2022},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.517516Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:3bd62599beb0e1a06e28449e094ff6e9529135ad752240e0b7f61c831a45f25e","observation_id":"a52aaeb7-c3b8-42fe-97b3-ad32b17e1e0a","resolution":{"observed_at":"2026-08-07T05:41:23.689324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.678792Z","title":"Maximizing malicious influence in node injection attack","venue":null,"work_id":"88358c80-e022-46d9-b9d8-80eff217df4f","year":2024},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.520019Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:d96eaa59d6c2038db7fdae025a8bf8c36c736ad0da182da50d02ebe6bcbf5878","observation_id":"f87a1465-73c8-4cc0-be52-60b05116d97c","resolution":{"observed_at":"2026-08-07T05:41:23.681706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09945","last_updated":"2024-01-18T12:47:13Z","snapshot_observed_at":"2026-08-03T09:26:21.868541Z","submitted_at":"2024-01-18T12:47:13Z","title":"HGAttack: Transferable Heterogeneous Graph Adversarial Attack","version":1},"cited_work":{"arxiv_id":"2401.09945","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.09945","snapshot_observed_at":"2026-08-07T05:41:23.615860Z","title":"HGAttack: Transferable Heterogeneous Graph Adversarial Attack","venue":"cs.LG","work_id":"5d3673a3-cfe8-40fe-85b6-ba37df5cdaf0","year":2024},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.522548Z"},"links":{"cited_paper":"/paper/2401.09945","citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:e80ad3f6fe1b90d4e668dcacc0af0f5babaa3318031d4a7666368b7f54d5df31","observation_id":"bb6ef98f-5ba1-43e8-936e-c2e4d2fe4379","resolution":{"observed_at":"2026-08-07T05:41:23.619932Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.670993Z","title":"Tdgia: Effective injection attacks on graph neural networks","venue":null,"work_id":"9526b449-9636-4e35-8545-65038993930e","year":2021},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.526241Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:66a5ed4a9783ffeb7b1b37b99459dad9166363992db0fc9c7601c959a46793d3","observation_id":"844f96aa-592d-4a9c-9af5-54a2eddb8b6e","resolution":{"observed_at":"2026-08-07T05:41:23.673867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.663122Z","title":"Input: Clean graphG, the attack unitsA={A r, r∈ R}and relation weightµ={µ 1, µ2...µ|R|}from surrogate model","venue":null,"work_id":"33760c0a-008e-4082-ab87-4d30c9c259ed","year":2020},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.528767Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:874d51613c2b74ee86d31a149fd0a5faf5a8b524d41acd3c2fa7598f56ef1ce6","observation_id":"2f8341e7-976e-481d-98ac-50ad872ad769","resolution":{"observed_at":"2026-08-07T05:41:23.666053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.803874Z","title":"Heterogeneous graph transformer","venue":null,"work_id":"8a3fab59-2c6e-42a3-8168-c55cecba6239","year":2020},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.465366Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:d56b398c28fb9dea09187d03b169d21b5587038527ffb7076c136fa08b658ac8","observation_id":"49da9d8b-15c7-482a-a2de-64f5f6886210","resolution":{"observed_at":"2026-08-07T05:41:23.806545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1809.02797","last_updated":"2018-09-15T08:31:50Z","snapshot_observed_at":"2026-07-06T06:59:57.168051Z","submitted_at":"2018-09-08T13:08:26Z","title":"Fast Gradient Attack on Network Embedding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.02797","snapshot_observed_at":"2026-08-07T05:41:23.454937Z","title":"Fast gradient attack on network embedding.arXiv preprint arXiv:1809.02797,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.454937Z"},"links":{"cited_paper":"/paper/1809.02797","citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:fba0616cff4430319158d32fbb93d4d5c2fada711d9d529b9e99a944a7c9e9e5","observation_id":"383dfc09-b7f6-4d90-881c-9fd5af2833fd","resolution":{"observed_at":"2026-08-07T05:41:23.454937Z","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":"2026-08-07T05:41:23.810996Z","title":"Mecch: metapath context convolution-based heterogeneous graph neural networks.Neural Networks, 170:266–275,","venue":null,"work_id":"9943da5d-c77d-439a-814c-3b1e586b7b74","year":2024},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.458564Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:f380d2c14c5a1894d3507a5fbfdf1e4bb746b2f9bdc1de8f2a9d22eb16adce5a","observation_id":"bfdbb5b0-1c99-48fb-93bd-cfe874aa519e","resolution":{"observed_at":"2026-08-07T05:41:23.813992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.724042Z","title":"Scalable attack on graph data by injecting vicious nodes.Data Min- ing and Knowledge Discovery, 34:1363–1389,","venue":null,"work_id":"4246e7f0-48d7-4dae-86b4-b6040edcdff8","year":2020},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.502024Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:5403a98a24832b1be1d5053451676ad11fc110147bea41d20009048acf269a3d","observation_id":"fef0dad4-71a8-4a54-b95a-57651661e650","resolution":{"observed_at":"2026-08-07T05:41:23.726826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.796579Z","title":"Kullback–leibler diver- gence metric learning.IEEE transactions on cybernetics, 52(4):2047–2058,","venue":null,"work_id":"b82374a9-335a-470f-8b7f-6f204d26c85a","year":2020},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.468576Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:1a778cb25583d4a39a76f580a821f153c4cecec4badd867ec030312dd399fdd3","observation_id":"9e66f1e8-e154-4186-96b4-75a776c13c9b","resolution":{"observed_at":"2026-08-07T05:41:23.799392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:23.766177Z","title":"Single-cell biolog- ical network inference using a heterogeneous graph trans- former.Nature Communications, 14(1):964,","venue":null,"work_id":"6b9cd0da-1461-4f96-9a5d-7651ec457e19","year":2023},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.480473Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:7df33aeba1ee21c05915f933423fe6cdf033531a5437ea7da85df6a0bb5d98f5","observation_id":"ad27b089-130c-43f2-8811-ea93620128ce","resolution":{"observed_at":"2026-08-07T05:41:23.769107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16024","last_updated":"2024-05-19T02:28:56Z","snapshot_observed_at":"2026-07-06T17:35:06.195492Z","submitted_at":"2024-02-25T08:07:22Z","title":"HiGPT: Heterogeneous Graph Language Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16024","snapshot_observed_at":"2026-08-07T05:41:23.496636Z","title":"Higpt: Heterogeneous graph language model.arXiv preprint arXiv:2402.16024,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.496636Z"},"links":{"cited_paper":"/paper/2402.16024","citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:08cf81a52f4e2987e1dc846b07062226c93f68f7ede9f66658e2e514635e9b5e","observation_id":"a11a8f3d-4591-46f7-8a01-f3f50718acd3","resolution":{"observed_at":"2026-08-07T05:41:23.496636Z","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":"2026-08-07T05:41:23.781720Z","title":"Sora: A review on background, technology, limita- tions, and opportunities of large vision models,","venue":null,"work_id":"e855f671-4e83-4109-85db-9d3c6e391e77","year":2024},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.474828Z"},"links":{"citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:80341d8da2fb5e56aceaa1c562a8cbe8e0c6c7bb9dcd376375c53a6d5871d96c","observation_id":"a0e1c416-06e8-4a4c-9d92-4dd54a59e502","resolution":{"observed_at":"2026-08-07T05:41:23.784562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6572","last_updated":"2015-03-20T20:19:16Z","snapshot_observed_at":"2026-07-06T04:04:16.777653Z","submitted_at":"2014-12-20T01:17:12Z","title":"Explaining and Harnessing Adversarial Examples","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6572","snapshot_observed_at":"2026-08-07T05:41:23.461659Z","title":"Explaining and harnessing adversarial examples.arXiv preprint arXiv:1412.6572,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:23.461659Z"},"links":{"cited_paper":"/paper/1412.6572","citing_paper":"/paper/2506.07428"},"observation_digest":"sha256:3cc50e3cb5ad26c03c1a108183368e38e6c103d48be9b8771b6974973b5cb2b9","observation_id":"b9b585c7-caa4-49e1-8240-348453d2413f","resolution":{"observed_at":"2026-08-07T05:41:23.461659Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.07428","last_updated":"2025-06-09T04:59:14Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-08T19:46:42.815203Z","submitted_at":"2025-06-09T04:59:14Z","title":"HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":2,"verified_fuzzy":22},"total_outbound_references":30},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2506.07428."}