{"as_of":"2026-08-08T03:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:af53812bc8b72655c792cdd616c29c6d9529e176679bb3d5b8686c9e0d729da1","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":"2026-08-07T11:31:43.605507Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T15:43:46.621365Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-01T22:06:16.721786Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"cited_work":{"arxiv_id":"2506.02243","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.02243","snapshot_observed_at":"2026-07-01T22:06:16.721786Z","title":"no\", 25]) regression_y_preprocess_transforms Choice([None, (None,","venue":null,"work_id":"455eb11e-8210-4e0c-9576-27701ee4d130","year":2025},"citing_paper":{"arxiv_id":"2606.02384","last_updated":"2026-06-01T15:33:43Z","snapshot_observed_at":"2026-07-06T23:42:49.173711Z","submitted_at":"2026-06-01T15:33:43Z","title":"TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-06-28T15:43:46.621365Z"},"links":{"cited_paper":"/paper/2506.02243","citing_paper":"/paper/2606.02384"},"observation_digest":"sha256:3d55006430e3989a3044c61d3491ee619bd56fc0cbcceb4437e2b99931f7a04e","observation_id":"82ec5eef-e7f9-4eca-8d4b-1dcbc6a3fd4e","resolution":{"observed_at":"2026-07-01T22:06:16.723719Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.02243/citation-record","integrity":"/paper/2506.02243/integrity","json":"/paper/2506.02243/citation-record.json","paper":"/paper/2506.02243"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:31:41.973685Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:41.973685Z"},"links":{"citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:6c769c61e0d6fdc918ad538948d767268c809e6dbb6485f43855d3d2d2e751d6","observation_id":"b556c0bb-a85b-4940-9d10-8b34746d4c04","resolution":{"observed_at":"2026-08-07T11:31:41.973685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.02046","last_updated":"2020-02-06T00:57:39Z","snapshot_observed_at":"2026-07-06T08:55:12.169755Z","submitted_at":"2020-02-06T00:57:39Z","title":"Supervised Learning on Relational Databases with Graph Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.02046","snapshot_observed_at":"2026-08-07T11:31:42.054459Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:42.054459Z"},"links":{"cited_paper":"/paper/2002.02046","citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:67b5f85a733c8e49013f50288f85bf1b8dd0c397036f11cc1a3fee4f9a745c9f","observation_id":"de2f074e-a042-411f-8ad3-7a94e35d1bc4","resolution":{"observed_at":"2026-08-07T11:31:42.054459Z","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":"2026-08-07T11:31:45.589996Z","title":null,"venue":null,"work_id":"3288b5fe-ffc7-4893-acd0-02c9c407cee5","year":2022},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:42.118557Z"},"links":{"citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:998ee9ab77837cb6dbaa8ec856a785376c409010d0ee5545a834388bf4469a16","observation_id":"f68db605-542b-4770-b04f-1242159437cb","resolution":{"observed_at":"2026-08-07T11:31:45.662413Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T11:31:42.225303Z","title":"Kanatsoulis, Rishi Puri, Matthias Fey, and Jure Leskovec","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:42.225303Z"},"links":{"citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:73a68cb15e08e1867970a1af66e092da688c0e126f4ec33a68c3251808aad79f","observation_id":"a6c75619-0c73-4eef-9fcf-8d7862a5bd74","resolution":{"observed_at":"2026-08-07T11:31:42.225303Z","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":"2026-08-07T11:31:45.421212Z","title":null,"venue":null,"work_id":"372b4904-9e26-408e-9026-8972b0e89a78","year":2023},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:42.283093Z"},"links":{"citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:7b6c1e0d9eccf231a35f7426f3b7a16acbdd618d8edc6d12352461e1736052a0","observation_id":"03daea2d-61dc-4a7d-977c-0e22c057354f","resolution":{"observed_at":"2026-08-07T11:31:45.496033Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T11:31:45.245600Z","title":null,"venue":null,"work_id":"9abc6ca2-fb34-4c02-ab09-969df83dac8f","year":2024},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:42.323282Z"},"links":{"citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:86136cf08a79d51fb9d009fb42bdab85a9ac3d4b4795b2ca5a60a76516e1ef24","observation_id":"48434326-c440-4a02-991d-ab62fd349c39","resolution":{"observed_at":"2026-08-07T11:31:45.346706Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T11:31:45.156018Z","title":null,"venue":null,"work_id":"172a81de-0ec0-4c05-ab7e-406d96b2e906","year":null},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:42.399861Z"},"links":{"citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:8bf1209b8eb3a9e14c0390acea8315a584395d519b8164a686e87d60ac88cdbf","observation_id":"a4272010-76ea-418b-8718-c618f6ef1d85","resolution":{"observed_at":"2026-08-07T11:31:45.209040Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.02428","last_updated":"2019-04-25T10:06:09Z","snapshot_observed_at":"2026-08-02T18:54:43.326912Z","submitted_at":"2019-03-06T14:50:02Z","title":"Fast Graph Representation Learning with PyTorch Geometric","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.02428","snapshot_observed_at":"2026-08-07T11:31:42.587304Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:42.587304Z"},"links":{"cited_paper":"/paper/1903.02428","citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:b3d4c4e9700cd5b7fd999ac0ac7d1dd3f5cf0343fdf47e15a3d11cee51106180","observation_id":"f1d79d37-5f06-43cd-b539-62971b676cf4","resolution":{"observed_at":"2026-08-07T11:31:42.587304Z","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":"2026-08-07T11:31:44.842159Z","title":null,"venue":null,"work_id":"f8d7f694-073c-404a-a5c5-9ef61d898774","year":null},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:42.659930Z"},"links":{"citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:5af384d4136a3e1da1ece6140aac54eca31b3194d3f8a3060786a436931fa9c5","observation_id":"3936d46b-26f3-409d-85ce-9ae1a3249814","resolution":{"observed_at":"2026-08-07T11:31:44.910446Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T11:31:44.648489Z","title":"Hamilton, Zhitao Ying, and Jure Leskovec","venue":null,"work_id":"cf5f4b7c-6bbd-4dc6-aea8-7e076b1a6151","year":2017},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:42.827935Z"},"links":{"citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:c2bc8f0c54bc39d325136631afc87e4709fdce943a6bf7cd2fa8aa26b190355c","observation_id":"4464061b-247b-4d27-84b1-281653c4c0e6","resolution":{"observed_at":"2026-08-07T11:31:44.765979Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T11:31:44.465762Z","title":"Kipf and Max Welling","venue":null,"work_id":"f0846c62-ea1e-479c-ad31-244df141468a","year":2017},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:42.961085Z"},"links":{"citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:3d587348e09790f5c380a18eb0805fb843d6bd6b9c84757af3b66990b8b6067c","observation_id":"e9ef408e-ab54-4085-9f64-eb1a07abac20","resolution":{"observed_at":"2026-08-07T11:31:44.568652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.02143","last_updated":"2024-01-04T08:49:10Z","snapshot_observed_at":"2026-08-05T00:02:08.028590Z","submitted_at":"2024-01-04T08:49:10Z","title":"Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.02143","snapshot_observed_at":"2026-08-07T11:31:43.043038Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:43.043038Z"},"links":{"cited_paper":"/paper/2401.02143","citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:e4e03abd018fab35f802fbd8cd4179824f59837245f92e2f3ff50099620b2b04","observation_id":"414fa82a-5f35-4322-b60a-b7ebb64340f8","resolution":{"observed_at":"2026-08-07T11:31:43.043038Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1511.03086","last_updated":"2025-03-26T23:32:07Z","snapshot_observed_at":"2026-07-06T04:35:58.720530Z","submitted_at":"2015-11-10T12:30:42Z","title":"The CTU Prague Relational Learning Repository","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.03086","snapshot_observed_at":"2026-08-07T11:31:43.118565Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:43.118565Z"},"links":{"cited_paper":"/paper/1511.03086","citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:25bd1ebfb257fa7dee8cd6b02bf94f146ebae8b312d18a3136bcb40a52519b12","observation_id":"82a257dd-9933-4406-bfe5-7a95ce8a0e3a","resolution":{"observed_at":"2026-08-07T11:31:43.118565Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/d19-1603","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:31:43.700250Z","title":null,"venue":null,"work_id":"8be9121e-445c-4def-a704-5bb802d5fdc2","year":2019},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:43.188838Z"},"links":{"citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:64c65507c91ff33cb77b0d8ea1054eddc88aeee919c24743a54a97c5177a9b0f","observation_id":"de9c585a-4bff-45b6-b593-bc679c79756c","resolution":{"observed_at":"2026-08-07T11:31:43.776928Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T11:31:43.250419Z","title":"Pu, and Renée J","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:43.250419Z"},"links":{"citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:7aa3bfc9bded635faded70d3a97846109f8c69edf8685a48569caf81c5c88c88","observation_id":"9c28bcc8-d18e-4b16-a77c-dc6e45aa6614","resolution":{"observed_at":"2026-08-07T11:31:43.250419Z","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":"2026-08-07T11:31:43.336505Z","title":"Kipf, Peter Bloem, Rianne Van den Berg, Ivan Titov, and Max Welling","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:43.336505Z"},"links":{"citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:413e1d61ffdd0e9b52c83145011417e1305a5e424b46b4306e0b97da88e14ce7","observation_id":"5487b25b-2b19-439b-9478-35bf2d5351eb","resolution":{"observed_at":"2026-08-07T11:31:43.336505Z","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":"2026-08-07T11:31:44.309094Z","title":null,"venue":null,"work_id":"de0c66f4-6395-4f52-be71-8f7f693fd123","year":2024},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:43.388957Z"},"links":{"citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:380b70164c824aaa51a601682a944c3679aa11360491c3b2f25727808a0286dd","observation_id":"996d6f52-b3a5-429d-be02-b5a64ab73bf7","resolution":{"observed_at":"2026-08-07T11:31:44.387081Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T11:31:44.095358Z","title":null,"venue":null,"work_id":"457fd5ea-f693-43f2-b87d-78d206eb5af3","year":null},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:43.490439Z"},"links":{"citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:119dd2ee12b304d8538d2fa2f7b18f13f5282f29320997571a79a84fe57c2987","observation_id":"2f7d4172-61e1-4ea3-9996-8b78840a3ad5","resolution":{"observed_at":"2026-08-07T11:31:44.172451Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02037","last_updated":"2023-12-04T16:54:40Z","snapshot_observed_at":"2026-08-01T21:44:14.077646Z","submitted_at":"2023-12-04T16:54:40Z","title":"GFS: Graph-based Feature Synthesis for Prediction over Relational Databases","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02037","snapshot_observed_at":"2026-08-07T11:31:43.605507Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:43.605507Z"},"links":{"cited_paper":"/paper/2312.02037","citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:b31ca300dbeedd978e517b48f20f9024d62bde54abb2120f1acd552625e53934","observation_id":"6267dc01-95a1-46ec-88a3-550873055954","resolution":{"observed_at":"2026-08-07T11:31:43.605507Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.15650","last_updated":"2025-03-19T19:04:24Z","snapshot_observed_at":"2026-08-07T16:50:48.096411Z","submitted_at":"2025-03-19T19:04:24Z","title":"Survey on Generalization Theory for Graph Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.15650","snapshot_observed_at":"2026-08-07T11:31:43.556743Z","title":"https://doi.org/10.48550/arXiv.2503.15650 arXiv:2503.15650","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:43.556743Z"},"links":{"cited_paper":"/paper/2503.15650","citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:0da2bd46c5c06093a0cefce6e91abd4b69a26418156e486cc69530513e92f921","observation_id":"415aa303-8e2f-4105-b838-0182bc4b6ed8","resolution":{"observed_at":"2026-08-07T11:31:43.556743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.09127","last_updated":"2021-08-20T11:51:32Z","snapshot_observed_at":"2026-08-01T12:59:31.473672Z","submitted_at":"2021-08-20T11:51:32Z","title":"TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.09127","snapshot_observed_at":"2026-08-07T11:31:42.728588Z","title":"arXiv preprint arXiv:2108.09127(2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:42.728588Z"},"links":{"cited_paper":"/paper/2108.09127","citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:0fafbd84a5714074ec773a6a0abe3d6ad2fedb6ad92165b24723594a61d67a86","observation_id":"2cf64c5e-7b1d-47b3-afdf-d993432f5073","resolution":{"observed_at":"2026-08-07T11:31:42.728588Z","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":"2026-08-07T11:31:44.970820Z","title":"Kumo.ai whitepaper","venue":null,"work_id":"0616507c-c6b6-46b4-b287-ef414a197e6b","year":2025},"citing_paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:42.486562Z"},"links":{"citing_paper":"/paper/2506.02243"},"observation_digest":"sha256:55ef2a447c6c1ea7273c25bb270bab02d5b3aa653fcc08f8244e7e0baba1d593","observation_id":"744a414d-01b4-42e4-b3ff-6bc8d9d24e1b","resolution":{"observed_at":"2026-08-07T11:31:45.101225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.02243","last_updated":"2025-06-02T20:42:53Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T11:25:23.299203Z","submitted_at":"2025-06-02T20:42:53Z","title":"From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":1,"verified_fuzzy":3},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2506.02243."}