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Paper Citation Record · LEDGER

Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling

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.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2601.09305 v2

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:43:37.420294Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:20:28.221191Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-10T13:25:26.813189Z

Reference resolution

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 47cc5114-def4-4d53-9f55-1e0ffa730b04 · outbound

This paper cites & Abkar, M.2023 Progressive augmentation of turbulence models for flow separation by multi-case computational fluid dynamics driven surrogate optimization.Phys.

Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling & Abkar, M.2023 Progressive augmentation of turbulence models for flow separation by multi-case computational fluid dynamics driven surrogate optimization.Phys

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T10:43:37.403244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:43:37.403244Z digest=sha256:a12561efcb46243293d3c883adb900a9b71040961c1be642b4f3f16754e3c964

Observation 1a6889da-de7a-44b1-9da0-a819757db87b · outbound

This paper cites Mandler, H.

Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling Mandler, H

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T10:43:37.415127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:43:37.415127Z digest=sha256:69c4826219c564356e2655044f892bb3d26d727f7fe41a1b7424e98c188d7ab5

Observation e1743e90-a864-4752-9994-d6b53fd8217a · outbound

This paper cites & Yang, X.I.A.2023 Data-enabled recalibration of the Spalart–Allmaras model.AIAA J.

Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling & Yang, X.I.A.2023 Data-enabled recalibration of the Spalart–Allmaras model.AIAA J

Reference 127

Resolution
unresolved
no resolver link, observed 2026-08-03T10:43:37.406525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:43:37.406525Z digest=sha256:97e913808154a9660576ebc8fea21644541d8a781829fd3f28692320c8d4c209

Observation d4bdddc0-2fef-457d-b1d2-9703974ebb8d · outbound

This paper cites & Coleman, G.N.2022 NASA symposium on turbulence modeling: Roadblocks, and the potential for machine learning.

Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling & Coleman, G.N.2022 NASA symposium on turbulence modeling: Roadblocks, and the potential for machine learning

Reference 201

Resolution
unresolved
no resolver link, observed 2026-08-03T10:43:37.417651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:43:37.417651Z digest=sha256:d8563b68110d3dff6288af1a47ee36f0f1f3e29835bd69966e712b820c0cb713

Observation d4eb0fda-9b45-49b0-a796-266f6018059e · outbound

This paper cites & Gloerfelt, X.2025 Space-dependent aggregation of stochastic data-driven turbulence models.J.

Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling & Gloerfelt, X.2025 Space-dependent aggregation of stochastic data-driven turbulence models.J

Reference 317

Resolution
unresolved
no resolver link, observed 2026-08-03T10:43:37.409065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:43:37.409065Z digest=sha256:261056c89ae345a2293be549063f8525068a5a4b286e11171b6124eedefa6251

Observation a0f333d4-aa74-493e-8848-39c151c0593e · outbound

This paper cites The information bottleneck method.

Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling The information bottleneck method

Reference 439

Resolution
unresolved
no resolver link, observed 2026-08-03T10:43:37.420294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:43:37.420294Z digest=sha256:71b6cf1f86c05d2b67cfc1558fff3de072e17de5e86d0ed0576c8aeffff29145

Observation 7e40de6a-f406-46a0-b20f-2a54f4996e33 · outbound

This paper cites & Sandberg, R.D.2023 Toward more general turbulence models via multicase computational-fluid-dynamics-driven training.AIAA J.61(5), 2100–2115.

Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling & Sandberg, R.D.2023 Toward more general turbulence models via multicase computational-fluid-dynamics-driven training.AIAA J.61(5), 2100–2115

Reference 1284

Resolution
unresolved
no resolver link, observed 2026-08-03T10:43:37.412473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:43:37.412473Z digest=sha256:fc9d783ec7c1e3ddec424866c97db238a12db169641d1b94a7c1f644c661d949

Pith citing papers

Observation 4bc832d5-bf5b-4544-bf5c-174e64014448 · inbound

Modular Continual Learning via Zero-Leakage Reconstruction Routing and Autonomous Task Discovery cites this paper.

Modular Continual Learning via Zero-Leakage Reconstruction Routing and Autonomous Task Discovery Progressive Mixture-of-Experts with autoencoder routing for continual RANS turbulence modelling

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-26T03:04:09.830734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T13:20:28.221191Z digest=sha256:2a7c27c132a6bb69d8f8a18e3c40e49e51df5e24439938ed277831ee3ca18db5