{"as_of":"2026-08-09T02:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:71c7005e7ea4b93ff5cd8bbe35f4268b54f7643205a39bd4ec949d252b782b90","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T11:32:31.777475Z","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":"2026-05-12T03:11:19.194252Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.17157","last_updated":"2024-02-27T02:44:40Z","snapshot_observed_at":"2026-08-03T04:11:25.250801Z","submitted_at":"2024-02-27T02:44:40Z","title":"Generative Learning for Forecasting the Dynamics of Complex Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17157","snapshot_observed_at":"2026-08-07T11:32:31.777475Z","title":"Generative learning for forecasting the dynamics of complex systems.arXiv preprint arXiv:2402.17157, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02254","last_updated":"2025-06-02T20:58:49Z","snapshot_observed_at":"2026-08-07T11:25:20.412920Z","submitted_at":"2025-06-02T20:58:49Z","title":"Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:32:31.777475Z"},"links":{"cited_paper":"/paper/2402.17157","citing_paper":"/paper/2506.02254"},"observation_digest":"sha256:aa8b5e563224e6aed2ecd80e78fcda3fabfd63b3e68b3ac708f66a24c31bd66b","observation_id":"81080dd7-d490-479e-8ad4-aa0470133467","resolution":{"observed_at":"2026-08-07T11:32:31.777475Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17157","last_updated":"2024-02-27T02:44:40Z","snapshot_observed_at":"2026-08-03T04:11:25.250801Z","submitted_at":"2024-02-27T02:44:40Z","title":"Generative Learning for Forecasting the Dynamics of Complex Systems","version":1},"cited_work":{"arxiv_id":"2402.17157","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.17157","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Nature Communications , month =","venue":null,"work_id":"111aa8c0-9b65-4d0d-aaed-915845c170ed","year":null},"citing_paper":{"arxiv_id":"2605.09495","last_updated":"2026-05-10T12:00:21Z","snapshot_observed_at":"2026-08-02T05:22:24.784198Z","submitted_at":"2026-05-10T12:00:21Z","title":"Enabling Structure-Only Initialization and Out-of-Distribution Generalization in GNN-based Molecular Dynamics Simulators","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-05-12T03:08:27.746140Z"},"links":{"cited_paper":"/paper/2402.17157","citing_paper":"/paper/2605.09495"},"observation_digest":"sha256:21ac48d5b790f3a418f9ebb3517f7d24c87764c0288d41bbcd7bca750f104d6d","observation_id":"a0d3c6fb-36eb-487b-9cca-dad2825a38b1","resolution":{"observed_at":"2026-05-12T03:11:19.195567Z","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/2402.17157/citation-record","integrity":"/paper/2402.17157/integrity","json":"/paper/2402.17157/citation-record.json","paper":"/paper/2402.17157"},"outbound":[],"paper":{"arxiv_id":"2402.17157","last_updated":"2024-02-27T02:44:40Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-03T04:11:25.250801Z","submitted_at":"2024-02-27T02:44:40Z","title":"Generative Learning for Forecasting the Dynamics of Complex Systems"},"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 2 inbound Pith citation observations for arXiv:2402.17157."}