{"as_of":"2026-08-09T12:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a35062a429692d34822120214b85f0f60533d50983ce56dadcad4f1b6e5d2ea8","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T02:57:52.552176Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2607.25273/citation-record","integrity":"/paper/2607.25273/integrity","json":"/paper/2607.25273/citation-record.json","paper":"/paper/2607.25273"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T02:57:52.460251Z","title":"Classification with valid and adaptive coverage,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.460251Z"},"links":{"citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:3ff195d483ae9165a496c90de1a128ce354f5e154bf237fd4cc356385c2e6e96","observation_id":"f76f0182-3264-409f-9f14-4e07e13ae14f","resolution":{"observed_at":"2026-08-01T02:57:52.460251Z","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":"2026-08-01T02:57:52.465469Z","title":"Least ambiguous set-valued classifiers with bounded error levels,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.465469Z"},"links":{"citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:98a2e5cc40eddaf6e5e90e871f329532a5a1e05693396d26a966060b8ea90c78","observation_id":"ec46a49a-075e-45ff-8335-6fdc433c0f60","resolution":{"observed_at":"2026-08-01T02:57:52.465469Z","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":"2026-08-01T02:57:52.469912Z","title":"Conformal prediction: A gentle introduction,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.469912Z"},"links":{"citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:17da6eb909243011e2ac76b1422bf21e121fd33c669aecf478ce6b50a9e6fc2b","observation_id":"8c7fb725-c099-4d29-a499-96b50586933b","resolution":{"observed_at":"2026-08-01T02:57:52.469912Z","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":"2026-08-01T02:57:52.474346Z","title":"Conformal pre- diction sets for graph neural networks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.474346Z"},"links":{"citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:19dc645fe0806099c2f329a0bf6b1a763d3fc5990a5638b72c02f45627f55ab4","observation_id":"ec61b242-f48c-431f-9c5d-8593e80c78a1","resolution":{"observed_at":"2026-08-01T02:57:52.474346Z","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":"2026-08-01T02:57:52.479000Z","title":"Similarity- navigated conformal prediction for graph neural networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.479000Z"},"links":{"citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:5806bb8623d1a7d401f2e36cc76a0949c6ed06fa51528e14efb12f73ab8a0d28","observation_id":"bef8be34-86e5-4368-b81a-c22733ee1466","resolution":{"observed_at":"2026-08-01T02:57:52.479000Z","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":"2026-08-01T02:57:52.483165Z","title":"Uncertainty quantifica- tion over graph with conformalized graph neural networks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.483165Z"},"links":{"citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:8ababcdb27dff81bf516b957d2099e84906ffe5b98f9926fe6c0a1312bf4e569","observation_id":"8822d155-6bb9-47d4-88eb-c5d02be97be2","resolution":{"observed_at":"2026-08-01T02:57:52.483165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.07854","last_updated":"2025-06-09T15:19:17Z","snapshot_observed_at":"2026-08-07T05:21:40.204103Z","submitted_at":"2025-06-09T15:19:17Z","title":"Residual Reweighted Conformal Prediction for Graph Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.07854","snapshot_observed_at":"2026-08-01T02:57:52.488144Z","title":"Residual reweighted conformal prediction for graph neural networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.488144Z"},"links":{"cited_paper":"/paper/2506.07854","citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:e798b876d51edaab39ef7eff82af0b9b3f9306b8a0dc7b6c32bc4b1515d1266c","observation_id":"17be7e6e-de27-4d0f-b15e-e16980c91e18","resolution":{"observed_at":"2026-08-01T02:57:52.488144Z","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":"2026-08-01T02:57:52.492642Z","title":"V ovk, A","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.492642Z"},"links":{"citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:ee9e6f12b02463802c02d12d2592e9c6d6ad127f7f4cd715e1ff62f86c681433","observation_id":"014d62c0-6f32-4180-8b2e-f02e5a8f849e","resolution":{"observed_at":"2026-08-01T02:57:52.492642Z","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":"2026-08-01T02:57:52.496620Z","title":"Distribution-free predictive inference for regression,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.496620Z"},"links":{"citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:35f88df102119dd7c0cd7eb69e71a16d0f5239d49eb22cb1d23442c8149cf06f","observation_id":"34bf955b-8eb0-43b4-97d2-d8bf777eb45d","resolution":{"observed_at":"2026-08-01T02:57:52.496620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.05287","last_updated":"2020-02-14T01:47:35Z","snapshot_observed_at":"2026-08-07T18:28:55.768202Z","submitted_at":"2020-02-13T00:03:09Z","title":"Geom-GCN: Geometric Graph Convolutional Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.05287","snapshot_observed_at":"2026-08-01T02:57:52.500897Z","title":"Geom-gcn: Geo- metric graph convolutional networks,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.500897Z"},"links":{"cited_paper":"/paper/2002.05287","citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:56bd5b8d23334e39724a853447d417b9e8df255d18bb6a65bc6b64cd565d57e2","observation_id":"11f25e31-eaef-4780-af24-10cb7e058621","resolution":{"observed_at":"2026-08-01T02:57:52.500897Z","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":"2026-08-01T02:57:52.505068Z","title":"Beyond homophily in graph neural networks: Current limitations and effective designs,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.505068Z"},"links":{"citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:00cc14eaf48b1bb8d31c8556e0000f96d8cef15eddbfb65b9b0d969a5b8dc1ce","observation_id":"63e2fd46-c508-409c-831e-60f3cadc3df8","resolution":{"observed_at":"2026-08-01T02:57:52.505068Z","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":"2026-08-01T02:57:52.509145Z","title":"Beyond low-frequency infor- mation in graph convolutional networks,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.509145Z"},"links":{"citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:32682350ccb5135edb7404aec3ba5c45628acf271a43c40985c00094c7211fed","observation_id":"81bc1683-7429-41b6-ab73-c5b3f2ca3472","resolution":{"observed_at":"2026-08-01T02:57:52.509145Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07988","last_updated":"2021-10-26T20:07:59Z","snapshot_observed_at":"2026-07-06T09:28:59.431672Z","submitted_at":"2020-06-14T19:27:39Z","title":"Adaptive Universal Generalized PageRank Graph Neural Network","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07988","snapshot_observed_at":"2026-08-01T02:57:52.513534Z","title":"Adaptive universal general- ized pagerank graph neural network,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.513534Z"},"links":{"cited_paper":"/paper/2006.07988","citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:b5916d37f6927ec4a265d2b2b14122fc178a9c66ac0684fa3b99dec056b182b7","observation_id":"d8c6afdf-ed9b-4855-831e-bfdd0c8f58f9","resolution":{"observed_at":"2026-08-01T02:57:52.513534Z","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":"2026-08-01T02:57:52.518157Z","title":"Large scale learning on non-homophilous graphs: New benchmarks and strong simple methods,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.518157Z"},"links":{"citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:8d33be06132823ed0cff1f397d3f67c7a4886e02ea4edc5e041f13d47150d9e6","observation_id":"6564f268-d695-43be-8e6c-6eca5baa33f9","resolution":{"observed_at":"2026-08-01T02:57:52.518157Z","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":"2026-08-01T02:57:52.522365Z","title":"Graph posterior network: Bayesian predictive uncertainty for node classification,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.522365Z"},"links":{"citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:933f58bb3f612540fcc41f4f4d277094cfe99978b75546d9584711c4d9eb0ac5","observation_id":"4925a9a8-8bd5-4551-be3e-993a2d49ea0e","resolution":{"observed_at":"2026-08-01T02:57:52.522365Z","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":"2026-08-01T02:57:52.526467Z","title":"Be confident! towards trust- worthy graph neural networks via confidence calibration,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.526467Z"},"links":{"citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:622c1116409c55cb3e9a9c538b6052165bdd1e1319a61dc22366014141d008fe","observation_id":"5aa6ca52-8420-4257-a758-6d80a1d482d1","resolution":{"observed_at":"2026-08-01T02:57:52.526467Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.11640","last_updated":"2024-03-02T21:17:13Z","snapshot_observed_at":"2026-08-06T06:30:03.262182Z","submitted_at":"2023-02-22T20:32:59Z","title":"A critical look at the evaluation of GNNs under heterophily: Are we really making progress?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.11640","snapshot_observed_at":"2026-08-01T02:57:52.530442Z","title":"A critical look at the evaluation of gnns under heterophily: Are we really making progress?","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.530442Z"},"links":{"cited_paper":"/paper/2302.11640","citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:de99b95ee0b9d7123ca748a7d5e7a182c8ed4fe2fe73a64640f4797da301c2f6","observation_id":"f720221c-ba08-4b36-a425-a9c4977f2f92","resolution":{"observed_at":"2026-08-01T02:57:52.530442Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-07-06T05:10:16.862707Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-01T02:57:52.534823Z","title":"Semi-supervised classification with graph convolutional networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.534823Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:ef75490bb597ff0984917c19ab4ad49aa5581ee4c8a6a9c545541545beb10bed","observation_id":"bcf645ae-fbef-4dcc-afc7-b9258b1a600e","resolution":{"observed_at":"2026-08-01T02:57:52.534823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.10903","last_updated":"2018-02-04T19:13:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-10-30T12:41:12Z","title":"Graph Attention Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.10903","snapshot_observed_at":"2026-08-01T02:57:52.539240Z","title":"Graph attention networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.539240Z"},"links":{"cited_paper":"/paper/1710.10903","citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:ed2b5ae994e4f094218d4a3e79aa5c01aa86298f804d108d10b5bdf00a2a432d","observation_id":"937fb413-2ebd-41e0-a851-b0ec4cfe362f","resolution":{"observed_at":"2026-08-01T02:57:52.539240Z","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":"2026-08-01T02:57:52.543811Z","title":"Inductive representation learning on large graphs,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.543811Z"},"links":{"citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:334865b9842d01502b411ad84cafe7b56a1185eab563da66af6c957f84aca3f1","observation_id":"9766cf16-05e2-4d4c-ba85-eaf03d75b9d0","resolution":{"observed_at":"2026-08-01T02:57:52.543811Z","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":"2026-08-01T02:57:52.548058Z","title":"Contextual stochastic block models,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.548058Z"},"links":{"citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:b5582e9fb82851e2bb609724b720843d11af2a990309e1c05d135b8099c83b9c","observation_id":"20917693-4213-4528-a7b7-4d3ced14ebe4","resolution":{"observed_at":"2026-08-01T02:57:52.548058Z","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":"2026-08-01T02:57:52.552176Z","title":"Con- formal prediction under covariate shift,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T02:57:52.552176Z"},"links":{"citing_paper":"/paper/2607.25273"},"observation_digest":"sha256:7ef39b8009a7ce4ea0306be88fdf46ea2e9a6a0487108f15651c15956a255048","observation_id":"5069b59b-8627-4f5f-b687-6b3bcdcca88d","resolution":{"observed_at":"2026-08-01T02:57:52.552176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.25273","last_updated":"2026-07-28T04:20:34Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T10:36:26.620712Z","submitted_at":"2026-07-28T04:20:34Z","title":"HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":22},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.25273."}