{"as_of":"2026-08-13T08:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:31165c3f13184100339d8fcea67aeab3bcc3b45cf6c9a8aa38df2dc8c5df630e","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T16:51:53.864303Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2411.13137/citation-record","integrity":"/paper/2411.13137/integrity","json":"/paper/2411.13137/citation-record.json","paper":"/paper/2411.13137"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:53.724893Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.724893Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:2a29a35def5a1cbb751db728222ab1d981c0c31669e7fd75754990448d624050","observation_id":"2ea925e0-aaea-4671-bab0-f3f18bb18d15","resolution":{"observed_at":"2026-08-12T16:51:53.724893Z","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":"2026-08-12T16:51:53.728100Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.728100Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:ff3c110b03fc94942a947a0c181f0254afbd80ba8b392c6547ffdfc0727166a6","observation_id":"6aadb918-e340-4998-be71-470882673cf2","resolution":{"observed_at":"2026-08-12T16:51:53.728100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.11081","last_updated":"2022-10-21T01:49:43Z","snapshot_observed_at":"2026-08-07T17:55:11.005280Z","submitted_at":"2022-06-22T13:48:08Z","title":"Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks","version":4},"cited_work":{"arxiv_id":"2206.11081","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.11081","snapshot_observed_at":"2026-08-12T16:51:53.958876Z","title":"Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks","venue":"cs.LG","work_id":"b9f2eb80-3faa-472e-967b-621d5f07c380","year":2022},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.731036Z"},"links":{"cited_paper":"/paper/2206.11081","citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:28f3b41e92572cc9ae8390f7ca1d90ed70ee761a5972ab470cf115029cacc5ed","observation_id":"585f948b-5f6f-4bfe-b442-8c748f97b50f","resolution":{"observed_at":"2026-08-12T16:51:53.961816Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.213203Z","title":null,"venue":null,"work_id":"4da8cbaa-6424-4805-82e3-6e9900985c29","year":2024},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.734242Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:f505db77f228c80dd4c6a2f93c55edeb3db871a1b03b44f43f1ec5ffee63dbd7","observation_id":"afec8e92-d539-42cb-944a-f07d8595782a","resolution":{"observed_at":"2026-08-12T16:51:54.215856Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.205786Z","title":null,"venue":null,"work_id":"06db32d9-cc75-44dd-b830-e46bd8afb0b4","year":2013},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.736942Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:dcb792b2dbba05f75144799650706ba8b2a3600499328ed28bbb11822309dc4b","observation_id":"23c66b65-21fc-4a2a-8875-7ff5b09f13d4","resolution":{"observed_at":"2026-08-12T16:51:54.208687Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.199002Z","title":null,"venue":null,"work_id":"c30955a4-e75f-4479-99fa-51c1c6b1c780","year":2022},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.739467Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:08c5a926cf58b52372b4fd1ef671cc29e3c3b2642cf53f657d2b7bb6b75756e8","observation_id":"9d9fbfcc-e16e-4fad-bc7e-1ca3840cc380","resolution":{"observed_at":"2026-08-12T16:51:54.201491Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:53.742630Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.742630Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:ef94564d2f8a6bc3af932e7cc2da29859a226cb20b266117d9b3bda58e623070","observation_id":"1a6dfb31-0b5e-4de3-ab17-a2fa124c8d4f","resolution":{"observed_at":"2026-08-12T16:51:53.742630Z","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":"2026-08-12T16:51:53.745156Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.745156Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:358b2e6c6d5cb54535f0ef50eb956d98ca46e92422ff4dc1a532d498eafb54fd","observation_id":"54999cb5-1b7d-42e5-a030-f3a97c0e021d","resolution":{"observed_at":"2026-08-12T16:51:53.745156Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.14934","last_updated":"2024-11-09T08:07:42Z","snapshot_observed_at":"2026-08-13T05:18:03.299181Z","submitted_at":"2023-11-25T05:34:36Z","title":"Robust Graph Neural Networks via Unbiased Aggregation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.14934","snapshot_observed_at":"2026-08-12T16:51:53.748116Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.748116Z"},"links":{"cited_paper":"/paper/2311.14934","citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:8c62d58f4c0b2e5c948562dc4948969d3981b87bd92f108bcdf6007173bf5140","observation_id":"af78977c-a9a8-434e-9de3-bb53fd827d9f","resolution":{"observed_at":"2026-08-12T16:51:53.748116Z","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":"2026-08-12T16:51:54.184476Z","title":null,"venue":null,"work_id":"dd35642a-a298-46bf-8db9-faffd586f7c6","year":2022},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.751497Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:ddf40a43adfae3a3e1726eec6185d1984ec48ccbc72c874cfccd979065dddda7","observation_id":"21a92874-e511-41c3-8050-527d73653dd4","resolution":{"observed_at":"2026-08-12T16:51:54.187215Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:53.753959Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.753959Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:571244f3b80114aeca6d69d72bdb598b080a01dd6de708c91c0bc3034ac910d7","observation_id":"7724e501-5725-4750-8b01-a932c86891c6","resolution":{"observed_at":"2026-08-12T16:51:53.753959Z","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":"2026-08-12T16:51:53.757240Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.757240Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:62221aed0d6f7f68af94ee1abd2f9669cbc924c6a276ca941fd10ea6b537b884","observation_id":"48dc0578-7d70-402a-ac3b-fc349e017cd3","resolution":{"observed_at":"2026-08-12T16:51:53.757240Z","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":"2026-08-12T16:51:53.759761Z","title":"M.; Rasch, M","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.759761Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:c8683c9459f4b359b5126d1c20570152128f41721d036403bc3580af9abc8385","observation_id":"6f0621b3-faeb-49ea-88f1-c104dc74f1c0","resolution":{"observed_at":"2026-08-12T16:51:53.759761Z","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":"2026-08-12T16:51:54.166947Z","title":null,"venue":null,"work_id":"9c50dd32-b142-439d-a88a-e02621e4fab9","year":2016},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.762270Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:a705cbf71e7183e3336cc3859d319730c201d0538c085329319f6ff080ad0132","observation_id":"60cbfd70-4d1e-45c0-8925-e43d3a11fdc0","resolution":{"observed_at":"2026-08-12T16:51:54.169313Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.160261Z","title":null,"venue":null,"work_id":"ba29089f-383f-4db2-9db5-6b02509eff69","year":2023},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.764938Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:48bf1fdaea51a1db40ef7323b185c2fc8453395c736587d2fa099265244e1866","observation_id":"739970b8-f5eb-4ad7-9230-51cb69ecce67","resolution":{"observed_at":"2026-08-12T16:51:54.162730Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.08228","last_updated":"2024-02-14T16:26:09Z","snapshot_observed_at":"2026-08-13T04:20:04.034621Z","submitted_at":"2024-02-13T05:38:45Z","title":"Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective","version":2},"cited_work":{"arxiv_id":"2402.08228","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.08228","snapshot_observed_at":"2026-08-12T16:51:53.943672Z","title":"Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective","venue":"cs.LG","work_id":"e46b5ad1-1855-4960-bc29-0b86fd76a5da","year":2024},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.767414Z"},"links":{"cited_paper":"/paper/2402.08228","citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:5bf1f7eed3885b8822f626ba72e831e9f1e3c01064e54da8e3579d52f4be23b1","observation_id":"9f5f3113-72a8-4bfe-9080-0b938c558d29","resolution":{"observed_at":"2026-08-12T16:51:53.946551Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.153146Z","title":null,"venue":null,"work_id":"659e94e7-4e86-41de-85ce-5e073860e80e","year":2023},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.770793Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:9a69265a4d2df56e896bb6982323293983084bbbdf3e04cd42f2060b4a22d095","observation_id":"9599888b-f03e-4fa6-9e6f-1790b7e6dc7c","resolution":{"observed_at":"2026-08-12T16:51:54.155746Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.146007Z","title":null,"venue":null,"work_id":"989a5ac0-9cfa-4411-926d-1ae5896c4e83","year":2024},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.773236Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:e442a8baf23beea93ce4997e8e502aae667dad7df162e807e1f9b4f7340438d7","observation_id":"727a2ec7-f6f9-4475-a327-7e7d2d41ab3d","resolution":{"observed_at":"2026-08-12T16:51:54.148596Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.138972Z","title":null,"venue":null,"work_id":"3a660a0a-6055-40c1-a680-1778f3595bc9","year":2015},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.775614Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:a23f31af305f00719648b1a10aca98afa5c178d3f1fe0847fdbaf101ae41a56d","observation_id":"5ac4fbe0-2329-4096-8432-b2ab0ddf5521","resolution":{"observed_at":"2026-08-12T16:51:54.141532Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.131899Z","title":"N.; and Welling, M","venue":null,"work_id":"c1eb1d7f-ddab-40d6-a2da-a99bd0d62c5d","year":2017},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.778070Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:68076a1481344e13319fd8e85e226b7af68c3a9e6d2bd9a8beffc194aed0f733","observation_id":"8e2c21bd-4b33-4caa-8fc2-be600da12c82","resolution":{"observed_at":"2026-08-12T16:51:54.134408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.122559Z","title":null,"venue":null,"work_id":"d4940625-bea4-44de-b577-8f2c630b66b5","year":2023},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.780452Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:6423bdb28cb48a76eec4d8a3409ba70af18d8d58c31f5465dd11f4f77de66795","observation_id":"2e3df2fd-5986-4229-b4ab-934571b1117e","resolution":{"observed_at":"2026-08-12T16:51:54.125114Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.115456Z","title":null,"venue":null,"work_id":"be315a3f-682e-4d07-896c-e76c6dd8a28e","year":2024},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.782960Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:4bd0a21a3e59d6c36a425244eb82fc9fbc10dab2b3f5bd12cb5da3d55a5edd22","observation_id":"9578a4e5-8841-4ed1-b04f-6e1947c40a0d","resolution":{"observed_at":"2026-08-12T16:51:54.118190Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:53.785328Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.785328Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:a03f7c0acd12192efe6d6e35ac35e4b7636dbf85c29f569a6d6bc0711ad25bdb","observation_id":"9277e922-10c4-4829-9cee-ddb1326c89ea","resolution":{"observed_at":"2026-08-12T16:51:53.785328Z","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":"2026-08-12T16:51:54.104855Z","title":null,"venue":null,"work_id":"de06777f-5083-4951-b1b2-f024b1720eb1","year":2021},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.788518Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:be9fd6e7d2ee66986e65af5d17a45011cb4bba17b6f6ca8d8db37617cd080a3c","observation_id":"e49208b0-4efa-458e-8c38-89f73d27d466","resolution":{"observed_at":"2026-08-12T16:51:54.107511Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.097732Z","title":null,"venue":null,"work_id":"7a2b4324-9bd8-484e-9428-719c6c1f348a","year":2011},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.790879Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:91a9944bea8bc47194f3b5a1f0002b62271599cb77e55348f91f69ca309177bd","observation_id":"1dfa697c-f9ad-4b30-96f5-3b820e10fc5e","resolution":{"observed_at":"2026-08-12T16:51:54.100406Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.090313Z","title":null,"venue":null,"work_id":"1aff2451-3c02-4cb2-baaf-fadc90975c22","year":2021},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.793146Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:ae7d67d5a93d97ab96b9fa4da3818c322415843c764563699234d13a22ac3c32","observation_id":"064e4471-9b31-4e24-aadb-a5e9e3f94337","resolution":{"observed_at":"2026-08-12T16:51:54.093212Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.083029Z","title":null,"venue":null,"work_id":"ec0d2591-d770-45b9-b225-fcc6ddeffbb9","year":2014},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.795767Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:a546d3cdeac137de9deeeb7c1f6636bd1907dd9d79ae0f0ac5ebae812b8a4cbb","observation_id":"24f14d20-a49d-4536-b0a7-afe2030e2d5f","resolution":{"observed_at":"2026-08-12T16:51:54.085784Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:53.798265Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.798265Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:459a76f25647e04a3ebf1a2569f3893e700c3910e168a4e69755ce0de886cda7","observation_id":"f1a7a542-bd5c-4dbe-bd4a-cccb5c26c254","resolution":{"observed_at":"2026-08-12T16:51:53.798265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.03091","last_updated":"2021-02-16T22:17:58Z","snapshot_observed_at":"2026-08-13T07:46:45.804906Z","submitted_at":"2021-01-08T16:40:37Z","title":"Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.03091","snapshot_observed_at":"2026-08-12T16:51:53.800701Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.800701Z"},"links":{"cited_paper":"/paper/2101.03091","citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:933f3ee6ccba4b7527c2dce32f56c8c1274e8bad21677372956199349a92eb4c","observation_id":"7b083bc5-5b52-4e09-9eab-a50e1edd4cb2","resolution":{"observed_at":"2026-08-12T16:51:53.800701Z","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":"2026-08-12T16:51:54.072203Z","title":null,"venue":null,"work_id":"3ec9faed-4677-44e8-97ef-f92de3ad85cc","year":2020},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.803439Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:294d49c8ad4c5941096640f8e50f78226f416c2e104d17a0b79c40282fca0266","observation_id":"52a92d0c-e5f4-4392-9b7f-ae1e81c3ed32","resolution":{"observed_at":"2026-08-12T16:51:54.074738Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.064912Z","title":null,"venue":null,"work_id":"3a424c7b-6678-49ab-b0b2-f5fa63e21d60","year":2021},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.805852Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:7f12118e1b110f1ef9749f29cf82b8c1ca122566ce69dd44e6e9e52dda4dbe4f","observation_id":"cbc508c6-fb75-4cf2-8c39-e72fb8462d16","resolution":{"observed_at":"2026-08-12T16:51:54.067695Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.057913Z","title":null,"venue":null,"work_id":"0f1dd86f-50fa-4908-aa3a-d9487939fb6e","year":2023},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.808223Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:d2a60bceb8474687da57c27603b2b523c8039209b2b4ea3684a5fd19684c7a29","observation_id":"b66ecfe4-4b2a-456b-b3e9-cd1fb73930a5","resolution":{"observed_at":"2026-08-12T16:51:54.060555Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.00904","last_updated":"2024-02-01T02:44:32Z","snapshot_observed_at":"2026-08-13T04:29:36.234667Z","submitted_at":"2024-02-01T02:44:32Z","title":"Graph Domain Adaptation: Challenges, Progress and Prospects","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.00904","snapshot_observed_at":"2026-08-12T16:51:53.810679Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.810679Z"},"links":{"cited_paper":"/paper/2402.00904","citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:b137367621997a7d082f82bc374d9c5dde41313fcc663e640bf6ab92821e0796","observation_id":"76231a58-a4ac-4b41-a231-e9ce718b07d1","resolution":{"observed_at":"2026-08-12T16:51:53.810679Z","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":"2026-08-12T16:51:53.813387Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.813387Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:2b3ec38520f28f21257c72b26b7a7f4df1f371335bf24d2ef3e8186a494ca065","observation_id":"a450ae15-6805-4674-b6e7-2a3c0fd59f1d","resolution":{"observed_at":"2026-08-12T16:51:53.813387Z","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":"2026-08-12T16:51:53.815848Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.815848Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:20a8797eb993b6fef88c057a460d9661edfa3733e5451e99a502481d08829c94","observation_id":"e772210c-f95b-4294-89cb-3f91d1896f89","resolution":{"observed_at":"2026-08-12T16:51:53.815848Z","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":"2026-08-12T16:51:54.043082Z","title":null,"venue":null,"work_id":"14d36bb6-3522-4e48-8635-f312252aa99c","year":2018},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.818677Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:85d95c9bd283a6b2d1ee4392f6a4c4a044083d4d5ef763111af61252b5c04c1f","observation_id":"278ae6fb-1cdf-4715-a237-c75f06ad565b","resolution":{"observed_at":"2026-08-12T16:51:54.045762Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.035929Z","title":null,"venue":null,"work_id":"fb7a0dd1-76f7-433c-ae86-3388eb073bbb","year":2023},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.820976Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:dc674f2fbc22473a3e52d60dc0d85f48bf2c79387bfd304355b89d750955336a","observation_id":"39624621-66ec-4b65-8550-37f4c0561964","resolution":{"observed_at":"2026-08-12T16:51:54.038546Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.09516","last_updated":"2024-12-30T13:53:16Z","snapshot_observed_at":"2026-08-13T05:49:26.808794Z","submitted_at":"2023-10-14T07:02:54Z","title":"Efficient Link Prediction via GNN Layers Induced by Negative Sampling","version":2},"cited_work":{"arxiv_id":"2310.09516","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.09516","snapshot_observed_at":"2026-08-12T16:51:53.923197Z","title":"Efficient Link Prediction via GNN Layers Induced by Negative Sampling","venue":"cs.LG","work_id":"42a7f9ed-567b-43a3-92fa-24f08ca450c0","year":2023},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.823421Z"},"links":{"cited_paper":"/paper/2310.09516","citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:0394bc2e6130a78bd9a4b55eb7774b7a492239a909149d3447fe04bc25135e8b","observation_id":"dcadf439-d9af-44d2-93d8-fd9d518f6df8","resolution":{"observed_at":"2026-08-12T16:51:53.926142Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.028888Z","title":null,"venue":null,"work_id":"2b1115cc-4109-45e6-bff0-e5ef9cddf227","year":2023},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.826982Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:a33ec64329223dcaa9b69926264a6c8a05e43b4270145f5fcfc3fad1f52d5c42","observation_id":"94d0595e-256a-4516-8d67-1f79e0dbf9a8","resolution":{"observed_at":"2026-08-12T16:51:54.031448Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.021860Z","title":null,"venue":null,"work_id":"44e3c944-ec1c-42f7-84b7-83f46a61539c","year":2022},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.829488Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:234a5993d7d1f14d58212b53538f4081ac0d4bc8f0469d6bd297b2a933daa087","observation_id":"a2ffca27-3e69-4e1b-a96e-a7d9d3fa0ed8","resolution":{"observed_at":"2026-08-12T16:51:54.024536Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.014443Z","title":null,"venue":null,"work_id":"80cd829c-2e0d-4747-9464-24cad85af124","year":2020},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.831800Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:c40beb30d23d8df298813787d06f434514731512c77f09ce3f9008b6bc31675e","observation_id":"54f46176-753f-49b8-a491-a356c651c7d5","resolution":{"observed_at":"2026-08-12T16:51:54.017207Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:54.007473Z","title":null,"venue":null,"work_id":"7a9d0e2c-4841-4d17-a885-44fe1f2ff4e0","year":2020},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.833982Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:d20dd5e23301a1a76de20a57a4279403c4a91ceac3ebec2b2240bed2f24a080c","observation_id":"2b540771-8f88-4e47-aef0-52fbfd6f52df","resolution":{"observed_at":"2026-08-12T16:51:54.010052Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:53.836367Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.836367Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:42aa20f7ec6d2dca24c8f68bf63fbdae2031d24ac05c133bff070ea71cbd5618","observation_id":"4ab10616-0415-4d39-bdda-92bbb827d4ca","resolution":{"observed_at":"2026-08-12T16:51:53.836367Z","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":"2026-08-12T16:51:53.996883Z","title":null,"venue":null,"work_id":"5c71d886-c448-46af-929e-16ab0150f719","year":2023},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.839558Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:00efb9d84c22fd074b2fce3b86d6a27105a91560ef8898017301293e63f91952","observation_id":"f34e8def-b7c4-4b2f-b6d4-c5c9f59fe0e9","resolution":{"observed_at":"2026-08-12T16:51:53.999400Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:53.989593Z","title":null,"venue":null,"work_id":"29eefcb4-47df-477b-a385-03d22f210f13","year":2021},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.841941Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:8c292d13a4aea66da1ca070b24d4c0dbb6001306cb840dab4069bdec499d603d","observation_id":"215bf5c1-4dd7-4cdc-9e24-4557bb56c5ef","resolution":{"observed_at":"2026-08-12T16:51:53.992102Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:53.844335Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.844335Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:07aff9309b4f8f7caee62b87e270fd61c6ee42ab5bed281d2a167c1e246c14ce","observation_id":"dcc952c0-08d4-40ea-ae58-9ef93510d7d0","resolution":{"observed_at":"2026-08-12T16:51:53.844335Z","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":"2026-08-12T16:51:53.978714Z","title":null,"venue":null,"work_id":"f4ca675e-f60e-4fb1-b331-5a63cce74f21","year":2021},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.846824Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:f8d120b06d08ea6f5bc1fec70dab23ade13235d11989e29b21357afd50c89b5d","observation_id":"20e0b774-0f2a-4122-b572-bd21806f79b9","resolution":{"observed_at":"2026-08-12T16:51:53.981327Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.01002","last_updated":"2022-10-03T15:10:40Z","snapshot_observed_at":"2026-07-06T13:59:04.148900Z","submitted_at":"2022-10-03T15:10:40Z","title":"ASGNN: Graph Neural Networks with Adaptive Structure","version":1},"cited_work":{"arxiv_id":"2210.01002","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.01002","snapshot_observed_at":"2026-08-12T16:51:53.913649Z","title":"ASGNN: Graph Neural Networks with Adaptive Structure","venue":"cs.LG","work_id":"185217c7-6b5e-4b8a-86ed-fd2ed1f314e3","year":2022},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.849239Z"},"links":{"cited_paper":"/paper/2210.01002","citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:dd7ba5bb7af03a03d3e7b4b0bf66d323b4b1ee02e439cd3a19afc4e3ebddb0ee","observation_id":"ebc860ec-40bb-4fda-9e28-fe13c9683676","resolution":{"observed_at":"2026-08-12T16:51:53.916455Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04471","last_updated":"2022-06-09T12:54:03Z","snapshot_observed_at":"2026-07-06T13:19:04.567246Z","submitted_at":"2022-06-09T12:54:03Z","title":"Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective","version":1},"cited_work":{"arxiv_id":"2206.04471","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.04471","snapshot_observed_at":"2026-08-12T16:51:53.903086Z","title":"Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective","venue":"cs.LG","work_id":"e684ba07-8de3-41f7-a913-a96e2073a8b0","year":2022},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.852394Z"},"links":{"cited_paper":"/paper/2206.04471","citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:0855c380b97f24ed46f652d02fa9dc1d2bcd0a25a1c77b0916f1d91f9e0dace0","observation_id":"6219aad1-4677-45e5-8a8a-579643902837","resolution":{"observed_at":"2026-08-12T16:51:53.906892Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.04763","last_updated":"2024-03-07T18:57:46Z","snapshot_observed_at":"2026-08-13T07:31:56.395534Z","submitted_at":"2024-03-07T18:57:46Z","title":"BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization","version":1},"cited_work":{"arxiv_id":"2403.04763","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.04763","snapshot_observed_at":"2026-08-12T16:51:53.891223Z","title":"BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization","venue":"cs.LG","work_id":"dd7f13c3-b165-40a2-94fa-2ae2b4c06680","year":2024},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.855988Z"},"links":{"cited_paper":"/paper/2403.04763","citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:0595a42258511318d46440cf405a662c50398d8986564158122c237759c6baf4","observation_id":"949a9ba4-a77f-4353-acff-cfa4a7e6a38d","resolution":{"observed_at":"2026-08-12T16:51:53.895481Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:53.971070Z","title":null,"venue":null,"work_id":"5e7d04ee-3971-43ad-97da-e132168f932a","year":2020},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.858687Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:006f3c849325057f65e53c5ef3e14d94d9d4adae41c4da8641983483ec91a6fa","observation_id":"ecd5e36e-9da8-4381-a9a0-7d321f4e758c","resolution":{"observed_at":"2026-08-12T16:51:53.974131Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:51:53.861228Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.861228Z"},"links":{"citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:6fe63dabad3ecd53c78dc452f5677f2405f825fd17b5c396d64f9011a6570591","observation_id":"62c8ecc8-69a1-4393-8b98-2a231d5f0342","resolution":{"observed_at":"2026-08-12T16:51:53.861228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.03256","last_updated":"2023-06-05T21:17:48Z","snapshot_observed_at":"2026-07-06T15:38:54.127539Z","submitted_at":"2023-06-05T21:17:48Z","title":"Explaining and Adapting Graph Conditional Shift","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.03256","snapshot_observed_at":"2026-08-12T16:51:53.864303Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-12T16:51:53.864303Z"},"links":{"cited_paper":"/paper/2306.03256","citing_paper":"/paper/2411.13137"},"observation_digest":"sha256:bab1b7d9bea065f98c463218bb28022002966cda8d0e42fa88d1ca532cd3666e","observation_id":"1a90b745-7e40-48ed-94cc-b404037f00be","resolution":{"observed_at":"2026-08-12T16:51:53.864303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2411.13137","last_updated":"2024-11-20T09:05:36Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T16:45:18.465029Z","submitted_at":"2024-11-20T09:05:36Z","title":"Domain Adaptive Unfolded Graph Neural Networks"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":46,"verified_exact":5,"verified_fuzzy":1},"total_outbound_references":53},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2411.13137."}