Paper Citation Record · LEDGER

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding

As of 9 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.27093.

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

pith.paper-citation-record.v1
2607.27093 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T11:23:47.755397Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact12
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41ca8a4d-52a0-45a8-8807-c09618481e2a · outbound

This paper cites an unresolved cited work.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Unresolved cited work

Reference 1

Resolution: verified exact; doi, observed 2026-07-30T11:26:43.443649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3086f7ea-d16d-48b4-8164-d126f949dfd8 · outbound

This paper cites an unresolved cited work.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Unresolved cited work

Reference 2

Resolution: verified exact; doi, observed 2026-07-30T11:26:43.419223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6474193c-6eb5-455e-afef-726255009a12 · outbound

This paper cites Cutrina Vilalta, H.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Cutrina Vilalta, H

Reference 3

Resolution: verified exact; doi, observed 2026-07-30T11:26:43.406712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 88de5b60-0feb-4d2e-954d-985930ffed0f · outbound

This paper cites Li,C.Zhang, Y.Li, Machinelearning baseddesignoptimization ofcentrifugal impellers, Journal oftheGlobal Power and Propulsion Society 6 (2022) 124–134.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Li,C.Zhang, Y.Li, Machinelearning baseddesignoptimization ofcentrifugal impellers, Journal oftheGlobal Power and Propulsion Society 6 (2022) 124–134

Reference 4

Resolution: verified exact; doi, observed 2026-07-30T11:26:43.275658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f5859ee-80f3-4918-8287-76c3526c9ff3 · outbound

This paper cites doi:10.1115/1.4068386.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding doi:10.1115/1.4068386

Reference 5

Resolution: verified exact; doi, observed 2026-07-30T11:26:42.934736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f82201b2-acf3-40e8-af2a-9434721cd844 · outbound

This paper cites doi:10.1115/1.4052301.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding doi:10.1115/1.4052301

Reference 6

Resolution: verified exact; doi, observed 2026-07-30T11:26:42.671894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d4eb24a5-2db6-4872-9ef9-419eb2a9af1f · outbound

This paper cites Denoising Diffusion Probabilistic Models.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Denoising Diffusion Probabilistic Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-30T11:23:47.614050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59d7634d-5bb5-4dbc-a437-cd3b27a12ce9 · outbound

This paper cites an unresolved cited work.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Unresolved cited work

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-30T11:26:42.291662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 32b4236a-15ae-4ccb-be1a-a562193fe195 · outbound

This paper cites an unresolved cited work.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Unresolved cited work

Reference 9

Resolution: verified exact; doi, observed 2026-07-30T11:26:42.066809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9c94a117-bd6e-4157-8379-cee9ff692936 · outbound

This paper cites doi:10.1016/j.ast.2026.112049.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding doi:10.1016/j.ast.2026.112049

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-30T11:23:47.636332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f073bd2f-5ff8-466f-9aa0-229f67ba56d5 · outbound

This paper cites doi:10.1063/5.0266874.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding doi:10.1063/5.0266874

Reference 11

Resolution: verified exact; doi, observed 2026-07-30T11:26:41.821891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9d6b84a3-7e6c-451f-bb40-ae962dcfc97b · outbound

This paper cites doi:10.1115/1.4069801.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding doi:10.1115/1.4069801

Reference 12

Resolution: verified exact; doi, observed 2026-07-30T11:26:41.490409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fd713b92-7b1e-4caf-b4a7-2a852d8f0439 · outbound

This paper cites Elucidating the Design Space of Diffusion-Based Generative Models.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Elucidating the Design Space of Diffusion-Based Generative Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-30T11:23:47.656793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eca323f6-8286-4379-8d44-f132bdc4e56f · outbound

This paper cites an unresolved cited work.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-30T11:23:47.666198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9a4ac13-48d9-4ed1-b12e-7c641002a028 · outbound

This paper cites Papachristodoulou, R.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Papachristodoulou, R

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-30T11:23:47.672919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1dee7a9-248f-4060-b890-13cfc242d6be · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Score-Based Generative Modeling through Stochastic Differential Equations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-30T11:23:47.678465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50a40521-b96a-4f18-b6c9-bea211eb49c2 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-30T11:23:47.685097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78266a09-dfaa-49a2-8998-8f82881d7f02 · outbound

This paper cites MeshDiffusion: Score-based Generative 3D Mesh Modeling.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding MeshDiffusion: Score-based Generative 3D Mesh Modeling

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-30T11:23:47.691980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bffc82a1-a553-4391-bab1-106b9b15d9d7 · outbound

This paper cites Deep Residual Learning for Image Recognition.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Deep Residual Learning for Image Recognition

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-30T11:23:47.697680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39020630-d502-400a-81aa-01a9a65f9ac8 · outbound

This paper cites an unresolved cited work.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-30T11:23:47.704945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7520088e-37ef-4856-8951-f9e8444a53c7 · outbound

This paper cites an unresolved cited work.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-30T11:23:47.712188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17cc6a36-73b6-4399-988c-02766b8ece3e · outbound

This paper cites an unresolved cited work.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-30T11:23:47.718278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feacee99-de69-4434-9e41-d695ca445222 · outbound

This paper cites Enhancing Diffusion-based Point Cloud Generation with Smoothness Constraint.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Enhancing Diffusion-based Point Cloud Generation with Smoothness Constraint

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-30T11:26:41.111930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f7608673-82e7-440d-9686-6b4b7af78570 · outbound

This paper cites Juangphanich, Bio-Inspired Design of a Turbine Stage, Thesis, Purdue University, 2019.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Juangphanich, Bio-Inspired Design of a Turbine Stage, Thesis, Purdue University, 2019

Reference 24

Resolution: verified exact; doi, observed 2026-07-30T11:26:40.838104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9ec6ad99-1cee-4b06-a4d3-1fa94ad3ae0f · outbound

This paper cites an unresolved cited work.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-30T11:23:47.738003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 511042c1-e0aa-4eca-baa0-42b943eeb159 · outbound

This paper cites an unresolved cited work.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-30T11:23:47.743566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7392e625-0ab3-4fc8-a686-1830cd680c72 · outbound

This paper cites an unresolved cited work.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-30T11:23:47.750300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 188b5c87-28f5-45b0-aadf-5d52b704ce02 · outbound

This paper cites an unresolved cited work.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-30T11:23:47.755397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.