{"as_of":"2026-08-14T23:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:38ef3cbbc54c10be39db07f8e32026a0ae99e9cbc2c58cb9e8f1c446c0df0f60","coverage":[{"denominator":7,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T10:43:37.420294Z","state":"measured"},{"denominator":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T13:20:28.221191Z","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":"2026-05-10T13:25:26.813189Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2601.09305","last_updated":"2026-05-25T01:14:11Z","snapshot_observed_at":"2026-08-03T23:45:53.096090Z","submitted_at":"2026-01-14T09:16:42Z","title":"Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling","version":2},"cited_work":{"arxiv_id":"2601.09305","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2601.09305","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e79dbee4-46bc-410b-bccf-7773e19e8c3a","year":2026},"citing_paper":{"arxiv_id":"2604.14375","last_updated":"2026-04-15T19:48:40Z","snapshot_observed_at":"2026-07-06T23:02:09.426599Z","submitted_at":"2026-04-15T19:48:40Z","title":"Modular Continual Learning via Zero-Leakage Reconstruction Routing and Autonomous Task Discovery","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T13:20:28.221191Z"},"links":{"cited_paper":"/paper/2601.09305","citing_paper":"/paper/2604.14375"},"observation_digest":"sha256:2a7c27c132a6bb69d8f8a18e3c40e49e51df5e24439938ed277831ee3ca18db5","observation_id":"4bc832d5-bf5b-4544-bf5c-174e64014448","resolution":{"observed_at":"2026-05-26T03:04:09.830734Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2601.09305/citation-record","integrity":"/paper/2601.09305/integrity","json":"/paper/2601.09305/citation-record.json","paper":"/paper/2601.09305"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:43:37.403244Z","title":"& Abkar, M.2023 Progressive augmentation of turbulence models for flow separation by multi-case computational fluid dynamics driven surrogate optimization.Phys","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.09305","last_updated":"2026-05-25T01:14:11Z","snapshot_observed_at":"2026-08-03T23:45:53.096090Z","submitted_at":"2026-01-14T09:16:42Z","title":"Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T10:43:37.403244Z"},"links":{"citing_paper":"/paper/2601.09305"},"observation_digest":"sha256:a12561efcb46243293d3c883adb900a9b71040961c1be642b4f3f16754e3c964","observation_id":"47cc5114-def4-4d53-9f55-1e0ffa730b04","resolution":{"observed_at":"2026-08-03T10:43:37.403244Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:43:37.415127Z","title":"Mandler, H","venue":null,"work_id":null,"year":1936},"citing_paper":{"arxiv_id":"2601.09305","last_updated":"2026-05-25T01:14:11Z","snapshot_observed_at":"2026-08-03T23:45:53.096090Z","submitted_at":"2026-01-14T09:16:42Z","title":"Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T10:43:37.415127Z"},"links":{"citing_paper":"/paper/2601.09305"},"observation_digest":"sha256:69c4826219c564356e2655044f892bb3d26d727f7fe41a1b7424e98c188d7ab5","observation_id":"1a6889da-de7a-44b1-9da0-a819757db87b","resolution":{"observed_at":"2026-08-03T10:43:37.415127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:43:37.406525Z","title":"& Yang, X.I.A.2023 Data-enabled recalibration of the Spalart–Allmaras model.AIAA J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.09305","last_updated":"2026-05-25T01:14:11Z","snapshot_observed_at":"2026-08-03T23:45:53.096090Z","submitted_at":"2026-01-14T09:16:42Z","title":"Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling","version":2},"reference_index":127,"source":"pdf_text","source_observed_at":"2026-08-03T10:43:37.406525Z"},"links":{"citing_paper":"/paper/2601.09305"},"observation_digest":"sha256:97e913808154a9660576ebc8fea21644541d8a781829fd3f28692320c8d4c209","observation_id":"e1743e90-a864-4752-9994-d6b53fd8217a","resolution":{"observed_at":"2026-08-03T10:43:37.406525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:43:37.417651Z","title":"& Coleman, G.N.2022 NASA symposium on turbulence modeling: Roadblocks, and the potential for machine learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.09305","last_updated":"2026-05-25T01:14:11Z","snapshot_observed_at":"2026-08-03T23:45:53.096090Z","submitted_at":"2026-01-14T09:16:42Z","title":"Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling","version":2},"reference_index":201,"source":"pdf_text","source_observed_at":"2026-08-03T10:43:37.417651Z"},"links":{"citing_paper":"/paper/2601.09305"},"observation_digest":"sha256:d8563b68110d3dff6288af1a47ee36f0f1f3e29835bd69966e712b820c0cb713","observation_id":"d4bdddc0-2fef-457d-b1d2-9703974ebb8d","resolution":{"observed_at":"2026-08-03T10:43:37.417651Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:43:37.409065Z","title":"& Gloerfelt, X.2025 Space-dependent aggregation of stochastic data-driven turbulence models.J","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09305","last_updated":"2026-05-25T01:14:11Z","snapshot_observed_at":"2026-08-03T23:45:53.096090Z","submitted_at":"2026-01-14T09:16:42Z","title":"Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling","version":2},"reference_index":317,"source":"pdf_text","source_observed_at":"2026-08-03T10:43:37.409065Z"},"links":{"citing_paper":"/paper/2601.09305"},"observation_digest":"sha256:261056c89ae345a2293be549063f8525068a5a4b286e11171b6124eedefa6251","observation_id":"d4eb0fda-9b45-49b0-a796-266f6018059e","resolution":{"observed_at":"2026-08-03T10:43:37.409065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"physics/0004057","last_updated":"2000-04-24T15:22:30Z","snapshot_observed_at":"2026-08-12T16:03:20.142135Z","submitted_at":"2000-04-24T15:22:30Z","title":"The information bottleneck method","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"physics/0004057","snapshot_observed_at":"2026-08-03T10:43:37.420294Z","title":"& Bialek, W.2000 The information bottleneck method.arXiv preprint physics/0004057","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2601.09305","last_updated":"2026-05-25T01:14:11Z","snapshot_observed_at":"2026-08-03T23:45:53.096090Z","submitted_at":"2026-01-14T09:16:42Z","title":"Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling","version":2},"reference_index":439,"source":"pdf_text","source_observed_at":"2026-08-03T10:43:37.420294Z"},"links":{"cited_paper":"/paper/physics/0004057","citing_paper":"/paper/2601.09305"},"observation_digest":"sha256:71b6cf1f86c05d2b67cfc1558fff3de072e17de5e86d0ed0576c8aeffff29145","observation_id":"a0f333d4-aa74-493e-8848-39c151c0593e","resolution":{"observed_at":"2026-08-03T10:43:37.420294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:43:37.412473Z","title":"& Sandberg, R.D.2023 Toward more general turbulence models via multicase computational-fluid-dynamics-driven training.AIAA J.61(5), 2100–2115","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.09305","last_updated":"2026-05-25T01:14:11Z","snapshot_observed_at":"2026-08-03T23:45:53.096090Z","submitted_at":"2026-01-14T09:16:42Z","title":"Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling","version":2},"reference_index":1284,"source":"pdf_text","source_observed_at":"2026-08-03T10:43:37.412473Z"},"links":{"citing_paper":"/paper/2601.09305"},"observation_digest":"sha256:fc9d783ec7c1e3ddec424866c97db238a12db169641d1b94a7c1f644c661d949","observation_id":"7e40de6a-f406-46a0-b20f-2a54f4996e33","resolution":{"observed_at":"2026-08-03T10:43:37.412473Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2601.09305","last_updated":"2026-05-25T01:14:11Z","latest_version":2,"primary_category":"physics.flu-dyn","snapshot_observed_at":"2026-08-03T23:45:53.096090Z","submitted_at":"2026-01-14T09:16:42Z","title":"Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling"},"reference_resolution":{"displayed":7,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":7},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 1 inbound Pith citation observation for arXiv:2601.09305."}