{"as_of":"2026-08-09T03:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ec524a9085b20b733352ca4941aca8c06a364da76851daf3bad2153be853d1c4","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:31:42.728588Z","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":"2026-07-03T08:07:45.110989Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"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":"2108.09127","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.09127","snapshot_observed_at":"2026-07-03T08:07:45.110989Z","title":"Tabgnn: Multiplex graph neural network for tabular data prediction","venue":null,"work_id":"1da3b384-e809-497b-9ce5-25049aa00a88","year":2021},"citing_paper":{"arxiv_id":"2501.00309","last_updated":"2025-01-08T05:16:25Z","snapshot_observed_at":"2026-08-07T12:37:34.294206Z","submitted_at":"2024-12-31T06:59:35Z","title":"Retrieval-Augmented Generation with Graphs (GraphRAG)","version":2},"reference_index":136,"source":"pdf_text","source_observed_at":"2026-05-18T04:33:39.076517Z"},"links":{"cited_paper":"/paper/2108.09127","citing_paper":"/paper/2501.00309"},"observation_digest":"sha256:c8da5b2fc44848cc92b28fee9bf65055d8f73d1404e489a91eca4d2dcde7ccb9","observation_id":"0e3eb08e-aa81-4ce6-baeb-205789b0a0e7","resolution":{"observed_at":"2026-05-18T04:33:39.561982Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"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":"2026-08-08T19:11:45.466943Z","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":"sha256:40b7d42381eb8b94986e98c8a0a39509ab37b439bf6f55a38b3405e88c492b3b","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":{"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":"2108.09127","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.09127","snapshot_observed_at":"2026-07-03T08:07:45.110989Z","title":"Tabgnn: Multiplex graph neural network for tabular data prediction","venue":null,"work_id":"1da3b384-e809-497b-9ce5-25049aa00a88","year":2021},"citing_paper":{"arxiv_id":"2606.11640","last_updated":"2026-06-10T04:02:57Z","snapshot_observed_at":"2026-08-05T04:08:49.058336Z","submitted_at":"2026-06-10T04:02:57Z","title":"TAROT: Task-Adaptive Refinement of LLM-prior Graphs for Few-shot Tabular Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-27T11:10:13.811221Z"},"links":{"cited_paper":"/paper/2108.09127","citing_paper":"/paper/2606.11640"},"observation_digest":"sha256:9bdfbe207ec919591a2aaa5b4dd380f7b2f67f4ef4d282b141ca47b39875c312","observation_id":"24be611f-d5f8-489d-b1bb-937f47ea8b12","resolution":{"observed_at":"2026-07-03T08:07:45.114292Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2108.09127/citation-record","integrity":"/paper/2108.09127/integrity","json":"/paper/2108.09127/citation-record.json","paper":"/paper/2108.09127"},"outbound":[],"paper":{"arxiv_id":"2108.09127","last_updated":"2021-08-20T11:51:32Z","latest_version":1,"primary_category":"cs.LG","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"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2108.09127."}