{"as_of":"2026-08-08T13:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0ebe53a30d5c064e73f637102e05592ee1734cc59854e0029f023904f0d1d10d","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:10:58.965568Z","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":"2026-06-29T13:33:27.909193Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1903.03894","last_updated":"2019-11-13T22:36:57Z","snapshot_observed_at":"2026-07-06T07:38:12.821583Z","submitted_at":"2019-03-10T00:56:26Z","title":"GNNExplainer: Generating Explanations for Graph Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.03894","snapshot_observed_at":"2026-08-07T12:10:58.965568Z","title":"Ad- vances in neural information processing systems 32 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.00437","last_updated":"2025-05-31T07:34:54Z","snapshot_observed_at":"2026-08-07T12:02:58.122246Z","submitted_at":"2025-05-31T07:34:54Z","title":"Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T12:10:58.965568Z"},"links":{"cited_paper":"/paper/1903.03894","citing_paper":"/paper/2506.00437"},"observation_digest":"sha256:1100e47a47c2e9ea48f5e79247dee9def3b547fd2ede3c4c3f84a6583601fdcc","observation_id":"cad40f66-3b6b-4b2a-9d69-b601af0223df","resolution":{"observed_at":"2026-08-07T12:10:58.965568Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.03894","last_updated":"2019-11-13T22:36:57Z","snapshot_observed_at":"2026-07-06T07:38:12.821583Z","submitted_at":"2019-03-10T00:56:26Z","title":"GNNExplainer: Generating Explanations for Graph Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.03894","snapshot_observed_at":"2026-08-07T11:25:15.248409Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.17234","last_updated":"2025-06-03T07:28:02Z","snapshot_observed_at":"2026-08-07T11:19:37.498404Z","submitted_at":"2025-06-03T07:28:02Z","title":"Graph Neural Networks in Multi-Omics Cancer Research: A Structured Survey","version":1},"reference_index":128,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:15.248409Z"},"links":{"cited_paper":"/paper/1903.03894","citing_paper":"/paper/2506.17234"},"observation_digest":"sha256:2afd3a3d44411152e504063b191f7729a2a1fd7ed4e545b17031fe7118fc94ce","observation_id":"b667216e-5200-470a-96d8-ad0ffae51a26","resolution":{"observed_at":"2026-08-07T11:25:15.248409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.03894","last_updated":"2019-11-13T22:36:57Z","snapshot_observed_at":"2026-07-06T07:38:12.821583Z","submitted_at":"2019-03-10T00:56:26Z","title":"GNNExplainer: Generating Explanations for Graph Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.03894","snapshot_observed_at":"2026-08-06T20:22:01.422720Z","title":"GNNExplainer: Generating explanations for graph neural networks","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.03318","last_updated":"2026-06-22T15:00:32Z","snapshot_observed_at":"2026-08-08T08:27:49.098280Z","submitted_at":"2025-07-04T06:12:18Z","title":"Structure-Aware Compound-Protein Affinity Prediction via Graph Neural Networks with Group Lasso Regularization","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:22:01.422720Z"},"links":{"cited_paper":"/paper/1903.03894","citing_paper":"/paper/2507.03318"},"observation_digest":"sha256:a4b0601e568835cc6fc1f1c3fec850f9c31b77b4a601d2d924a5b93781680baa","observation_id":"8344ce8e-30e6-42bd-aadf-0c77916fd2a0","resolution":{"observed_at":"2026-08-06T20:22:01.422720Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.03894","last_updated":"2019-11-13T22:36:57Z","snapshot_observed_at":"2026-07-06T07:38:12.821583Z","submitted_at":"2019-03-10T00:56:26Z","title":"GNNExplainer: Generating Explanations for Graph Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.03894","snapshot_observed_at":"2026-08-06T18:47:25.462383Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.07373","last_updated":"2025-09-12T01:02:28Z","snapshot_observed_at":"2026-08-06T18:40:16.415440Z","submitted_at":"2025-07-10T01:51:53Z","title":"Atherosclerosis through Hierarchical Explainable Neural Network Analysis","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T18:47:25.462383Z"},"links":{"cited_paper":"/paper/1903.03894","citing_paper":"/paper/2507.07373"},"observation_digest":"sha256:c3c3707c82b3fe420fa74c085f50c498cebb5b6839f941b359236d0f07b00c1f","observation_id":"295753a3-cbe3-4d6c-a0a4-7892d0cfb85a","resolution":{"observed_at":"2026-08-06T18:47:25.462383Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.03894","last_updated":"2019-11-13T22:36:57Z","snapshot_observed_at":"2026-07-06T07:38:12.821583Z","submitted_at":"2019-03-10T00:56:26Z","title":"GNNExplainer: Generating Explanations for Graph Neural Networks","version":4},"cited_work":{"arxiv_id":"1903.03894","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1903.03894","snapshot_observed_at":"2026-06-29T13:33:27.909193Z","title":null,"venue":null,"work_id":"3b404fe7-5e2f-4467-8673-582bdb8733b2","year":2019},"citing_paper":{"arxiv_id":"2604.25885","last_updated":"2026-04-28T17:28:41Z","snapshot_observed_at":"2026-07-06T23:11:39.318906Z","submitted_at":"2026-04-28T17:28:41Z","title":"Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-07T15:56:37.996198Z"},"links":{"cited_paper":"/paper/1903.03894","citing_paper":"/paper/2604.25885"},"observation_digest":"sha256:a34edce2a0c8ace928548a023eef90e9778268115fcb90a004ec5ff2ee9b3b03","observation_id":"73614e62-83ef-41c4-9977-5b7c85375aae","resolution":{"observed_at":"2026-05-12T00:01:14.692046Z","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":"1903.03894","last_updated":"2019-11-13T22:36:57Z","snapshot_observed_at":"2026-07-06T07:38:12.821583Z","submitted_at":"2019-03-10T00:56:26Z","title":"GNNExplainer: Generating Explanations for Graph Neural Networks","version":4},"cited_work":{"arxiv_id":"1903.03894","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1903.03894","snapshot_observed_at":"2026-06-29T13:33:27.909193Z","title":null,"venue":null,"work_id":"3b404fe7-5e2f-4467-8673-582bdb8733b2","year":2019},"citing_paper":{"arxiv_id":"2605.28990","last_updated":"2026-05-27T18:48:31Z","snapshot_observed_at":"2026-08-03T08:48:49.512147Z","submitted_at":"2026-05-27T18:48:31Z","title":"Learning Robust and Task-Invariant Functional Representation from fMRI through Siamese Self-Supervised Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-29T13:31:36.276306Z"},"links":{"cited_paper":"/paper/1903.03894","citing_paper":"/paper/2605.28990"},"observation_digest":"sha256:c0b92f4234bf9c1980745201db53a34ffe65bdd85992aea9bcdfb5af9f39034c","observation_id":"45786a38-6fe7-4af7-8845-ac26cef69907","resolution":{"observed_at":"2026-06-29T13:33:27.910432Z","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":"1903.03894","last_updated":"2019-11-13T22:36:57Z","snapshot_observed_at":"2026-07-06T07:38:12.821583Z","submitted_at":"2019-03-10T00:56:26Z","title":"GNNExplainer: Generating Explanations for Graph Neural Networks","version":4},"cited_work":{"arxiv_id":"1903.03894","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1903.03894","snapshot_observed_at":"2026-06-29T13:33:27.909193Z","title":null,"venue":null,"work_id":"3b404fe7-5e2f-4467-8673-582bdb8733b2","year":2019},"citing_paper":{"arxiv_id":"2605.30470","last_updated":"2026-05-28T18:41:20Z","snapshot_observed_at":"2026-08-02T00:40:58.268658Z","submitted_at":"2026-05-28T18:41:20Z","title":"Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks?","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-29T08:32:47.166531Z"},"links":{"cited_paper":"/paper/1903.03894","citing_paper":"/paper/2605.30470"},"observation_digest":"sha256:a7dace3aa112e47478b3d335ddb6c86bd2420eb6222cac85e59a9a2aae8d1b56","observation_id":"9412c7c8-756a-4f95-9972-2dc193f71f0c","resolution":{"observed_at":"2026-06-29T08:33:14.853987Z","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/1903.03894/citation-record","integrity":"/paper/1903.03894/integrity","json":"/paper/1903.03894/citation-record.json","paper":"/paper/1903.03894"},"outbound":[],"paper":{"arxiv_id":"1903.03894","last_updated":"2019-11-13T22:36:57Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T07:38:12.821583Z","submitted_at":"2019-03-10T00:56:26Z","title":"GNNExplainer: Generating Explanations for Graph Neural Networks"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1903.03894."}