{"as_of":"2026-08-10T07:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e07e9fbcb2c3239cd352e4279eb03ec7809ecc6f2cf9ed3eb4a47250c3c3a9f7","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T18:11:03.882214Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-04T23:54:01.106812Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.07482","last_updated":"2025-02-01T22:42:03Z","snapshot_observed_at":"2026-07-06T19:48:49.553384Z","submitted_at":"2024-11-12T02:08:19Z","title":"Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.07482","snapshot_observed_at":"2026-08-09T18:11:03.882214Z","title":"”Enhancing Link Prediction with Fuzzy Graph At- tention Networks and Dynamic Negative Sampling.” arXiv preprint arXiv:2411.07482 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00663","last_updated":"2025-02-02T04:32:25Z","snapshot_observed_at":"2026-08-09T18:07:06.349803Z","submitted_at":"2025-02-02T04:32:25Z","title":"Enhanced Convolutional Neural Networks for Improved Image Classification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T18:11:03.882214Z"},"links":{"cited_paper":"/paper/2411.07482","citing_paper":"/paper/2502.00663"},"observation_digest":"sha256:d4493c440bf638bea3001ab773fa07328b902724cef27bd5df1736a4853de2ab","observation_id":"01f98621-efb5-4514-a3eb-0116e57b69b8","resolution":{"observed_at":"2026-08-09T18:11:03.882214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.07482","last_updated":"2025-02-01T22:42:03Z","snapshot_observed_at":"2026-07-06T19:48:49.553384Z","submitted_at":"2024-11-12T02:08:19Z","title":"Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling","version":3},"cited_work":{"arxiv_id":"2411.07482","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.07482","snapshot_observed_at":"2026-08-04T23:54:01.106812Z","title":"Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling","venue":"cs.LG","work_id":"38e3120a-5eeb-4e23-b6bb-6185fb67a448","year":2024},"citing_paper":{"arxiv_id":"2509.06286","last_updated":"2025-09-08T02:15:55Z","snapshot_observed_at":"2026-08-09T00:52:28.912052Z","submitted_at":"2025-09-08T02:15:55Z","title":"RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T23:54:00.846952Z"},"links":{"cited_paper":"/paper/2411.07482","citing_paper":"/paper/2509.06286"},"observation_digest":"sha256:057f7bb0ed3003e1bb06894dcb700b3a4fc52dddce75a7956d9a60a609ef39ab","observation_id":"cc2e4043-ef1b-4e02-9c92-2e66006ef16f","resolution":{"observed_at":"2026-08-04T23:54:01.151499Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.07482/citation-record","integrity":"/paper/2411.07482/integrity","json":"/paper/2411.07482/citation-record.json","paper":"/paper/2411.07482"},"outbound":[],"paper":{"arxiv_id":"2411.07482","last_updated":"2025-02-01T22:42:03Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T19:48:49.553384Z","submitted_at":"2024-11-12T02:08:19Z","title":"Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.07482."}