{"as_of":"2026-08-09T19:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3f5672f993cf9c066b3e1080deb0ebe931f60848baf4c78c1285b33902bfa14c","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":"2026-08-09T06:31:02.800959+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":"2026-08-02T18:19:47.341582Z","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":"2026-05-21T11:40:03.402590Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.16410","last_updated":"2023-11-28T01:35:06Z","snapshot_observed_at":"2026-08-09T08:58:10.365533Z","submitted_at":"2023-11-28T01:35:06Z","title":"Reduced-order modeling for parameterized PDEs via implicit neural representations","version":1},"cited_work":{"arxiv_id":"2311.16410","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.16410","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Reduced-order mod- eling for parameterized pdes via implicit neural representations","venue":null,"work_id":"a8a99e2d-33e2-4529-923b-4766d88ff76e","year":2023},"citing_paper":{"arxiv_id":"2603.12676","last_updated":"2026-07-15T09:48:42Z","snapshot_observed_at":"2026-08-02T18:19:39.501104Z","submitted_at":"2026-03-13T05:46:01Z","title":"Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-21T11:37:48.433545Z"},"links":{"cited_paper":"/paper/2311.16410","citing_paper":"/paper/2603.12676"},"observation_digest":"sha256:4148fd17e9c5f4020e30747b3b50e09369b9471bec858e153c26c51382c71e8e","observation_id":"97bbe41c-9e78-4842-b94b-9c64dd9d16a4","resolution":{"observed_at":"2026-05-21T11:40:03.404608Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16410","last_updated":"2023-11-28T01:35:06Z","snapshot_observed_at":"2026-08-09T08:58:10.365533Z","submitted_at":"2023-11-28T01:35:06Z","title":"Reduced-order modeling for parameterized PDEs via implicit neural representations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16410","snapshot_observed_at":"2026-08-02T18:19:47.341582Z","title":"Reduced-order mod- eling for parameterized pdes via implicit neural representations.arXiv preprint arXiv:2311.16410, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.12676","last_updated":"2026-07-15T09:48:42Z","snapshot_observed_at":"2026-08-02T18:19:39.501104Z","submitted_at":"2026-03-13T05:46:01Z","title":"Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs","version":5},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-02T18:19:47.341582Z"},"links":{"cited_paper":"/paper/2311.16410","citing_paper":"/paper/2603.12676"},"observation_digest":"sha256:c974a0e6c60c1dd94f1d689648899cf8db87c62dda5efc6fece8bff29fcbbbdd","observation_id":"0d9989eb-f0f0-4812-9ffb-20accbc5826b","resolution":{"observed_at":"2026-08-02T18:19:47.341582Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16410","last_updated":"2023-11-28T01:35:06Z","snapshot_observed_at":"2026-08-09T08:58:10.365533Z","submitted_at":"2023-11-28T01:35:06Z","title":"Reduced-order modeling for parameterized PDEs via implicit neural representations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16410","snapshot_observed_at":"2026-07-14T08:02:00.306457Z","title":"Reduced-order modeling for parame- terized PDEs via implicit neural representations","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10965","last_updated":"2026-07-13T00:16:59Z","snapshot_observed_at":"2026-08-06T05:31:52.120895Z","submitted_at":"2026-07-13T00:16:59Z","title":"Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-14T08:02:00.306457Z"},"links":{"cited_paper":"/paper/2311.16410","citing_paper":"/paper/2607.10965"},"observation_digest":"sha256:4f35fa632c3d896cbff1d1ec1348a192b40c2976f04544ee396a4da2620dbad3","observation_id":"7af6343d-13c1-4b97-a121-4032f4b48868","resolution":{"observed_at":"2026-07-14T08:02:00.306457Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2311.16410/citation-record","integrity":"/paper/2311.16410/integrity","json":"/paper/2311.16410/citation-record.json","paper":"/paper/2311.16410"},"outbound":[],"paper":{"arxiv_id":"2311.16410","last_updated":"2023-11-28T01:35:06Z","latest_version":1,"primary_category":"math.NA","snapshot_observed_at":"2026-08-09T08:58:10.365533Z","submitted_at":"2023-11-28T01:35:06Z","title":"Reduced-order modeling for parameterized PDEs via implicit neural representations"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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:2311.16410."}