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Paper Citation Record · LEDGER

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation

As of 22 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2606.12994.

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

pith.paper-citation-record.v1
2606.12994 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T07:47:28.665578Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

45 of 45 outbound references displayed

  • verified exact7
  • verified fuzzy0
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a482d81-ad11-40f1-8f8a-883b401e2cc8 · outbound

This paper cites Deep generative design: Integration of topology optimization and generative models.ASME J.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation Deep generative design: Integration of topology optimization and generative models.ASME J

Reference 1

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:1ec62c8fe6dcd3206a31129597de26a86e9e52f3ab671515dccf3d35894064d0

Observation f679b705-4ce2-4add-adc4-50e2b46eb5d8 · outbound

This paper cites H., and Ahmed, F.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation H., and Ahmed, F

Reference 2

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:d2ca0618caa7596a0632bd256e00a314b85e48b409a42169624e6c46a9dfbc8b

Observation fe000b38-d922-41eb-9f19-415128dcd573 · outbound

This paper cites an unresolved cited work.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation Unresolved cited work

Reference 3

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:e8d6203abb63bb849960c1367b50d8c7b7d6e36df39dfc78e32dab847c2b4275

Observation 9d8fcef4-263f-4425-aa94-0a09cee297e0 · outbound

This paper cites D., Simpson, T.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation D., Simpson, T

Reference 4

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:e713795e1798d9da10ca2a13b42e3a9758a86891d6973fbf4a542bac6e60acbd

Observation f7a96c13-bf79-40f7-99cd-2ed31294fc98 · outbound

This paper cites an unresolved cited work.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation Unresolved cited work

Reference 5

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:8eccf0703917b54537d7b9a65b60ae2227c0c0a8a8ac4f8cfd56977a6e6fac21

Observation 6424274d-7ce7-491a-8079-a6c9bfa5268c · outbound

This paper cites SimJEB: Simulated jet engine bracket dataset.Computer Graphics Forum, 40(5):9–17, 2021.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation SimJEB: Simulated jet engine bracket dataset.Computer Graphics Forum, 40(5):9–17, 2021

Reference 6

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:6527988c916444e0ce205deb1c924eda45b86165c6c2c01a018599f32fa7cb83

Observation 3953dca8-8f44-4509-acde-156a5a3f0117 · outbound

This paper cites DeepJEB: 3D deep learning-based synthetic jet engine bracket dataset.ASME J.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation DeepJEB: 3D deep learning-based synthetic jet engine bracket dataset.ASME J

Reference 7

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:be8cf302980b30c3383b81b26a38d1de0cc903e99ec6b9047a956ed1309752a3

Observation 0e2a31e5-96ed-461b-beb2-ef98a1980f31 · outbound

This paper cites J., Florence, P., Straub, J., Newcombe, R., and Lovegrove, S.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation J., Florence, P., Straub, J., Newcombe, R., and Lovegrove, S

Reference 8

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:27eef2e31ef0c682299d86dee56af011f07a7705fa0bf5d998d8337f1fdb9778

Observation 371e6a8b-50f4-49f1-acf2-614f3da9cbd9 · outbound

This paper cites Building beyond human imagination with foundation models for geometry and physics.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation Building beyond human imagination with foundation models for geometry and physics

Reference 9

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:1f3f45fc13acd1e19c764bd88bfbe0004f9d343d906b093f187140cb83e89f12

Observation 274e15ab-78c6-4a0e-8b11-e999f6007c60 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation ShapeNet: An Information-Rich 3D Model Repository

Reference 10

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local_arxiv, observed 2026-07-03T13:38:19.122215Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:91fd7b92e25288960288908b6a189ccb95468344274c4f3a48ab46705fe104eb

Observation 859e5718-c28e-4832-9644-134ad722158f · outbound

This paper cites ABC: A big CAD model dataset for geometric deep learning.CVPR, 2019.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation ABC: A big CAD model dataset for geometric deep learning.CVPR, 2019

Reference 11

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:e35f326e8d084cb181c612861db853a13849c6f17b1da05136de06841362b690

Observation 440b20fb-8c7f-42e7-9b00-e6c6ab2f24a3 · outbound

This paper cites FRAMED: An AutoML approach forstructuralperformancepredictionofbicycleframes.Computer-AidedDesign, 156, 2023.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation FRAMED: An AutoML approach forstructuralperformancepredictionofbicycleframes.Computer-AidedDesign, 156, 2023

Reference 12

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:c2416ab41b2ef0add837f24b86f0c95d37fc8d41008d2997f7c4a08b8277077b

Observation bbeec178-5d2d-49f7-8af2-ed160d3d0e8d · outbound

This paper cites BIKED: A dataset for computa- tional bicycle design with machine learning benchmarks.ASME J.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation BIKED: A dataset for computa- tional bicycle design with machine learning benchmarks.ASME J

Reference 13

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:70205dbf522d926cdbbb76e7c86257287a1acdb615d2b7006cb2f86c59af6335

Observation 8d555575-0fed-4f88-94c0-63e991f7fb8b · outbound

This paper cites an unresolved cited work.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation Unresolved cited work

Reference 14

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:841149b2c3ac858f9f94e6babfd0ec1b7865caeb1ba8f62e5df7d2545267a1e4

Observation 9a91772d-57ac-49bd-99fb-132236b7a61b · outbound

This paper cites DrivAerNet++: A large-scale multimodal car dataset with CFD simulations and deep learning benchmarks.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation DrivAerNet++: A large-scale multimodal car dataset with CFD simulations and deep learning benchmarks

Reference 15

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:2f16588c6b61ce0cd9e65df7f98defc9fcf71df45f29f0f1c29f52a709f500d5

Observation 751fa3da-644b-473b-867d-95e08241fe4f · outbound

This paper cites D., et al.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation D., et al

Reference 16

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:c0e3f298658328ef63b2a294c916c0f7c7a10425cf23f6f865bbd73d0ef46979

Observation 671d0f1a-1b7b-4d3c-b43e-25fa5f6c65bf · outbound

This paper cites Point-E: A System for Generating 3D Point Clouds from Complex Prompts.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Reference 17

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local_arxiv, observed 2026-07-03T13:38:19.127866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:d79df9f28aeba3763a04117ff86b3642fd52866f0adab2ca95dc1f12a9f97c39

Observation ce018785-7175-4d78-9b1b-c337ba3f2514 · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3D object.ICCV, 2023.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation Zero-1-to-3: Zero-shot one image to 3D object.ICCV, 2023

Reference 18

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:54f333e499fea67c13f468ad27e9cba8dabe587d48ef5a0dc3a3c2cf40aca6e7

Observation d3b9e733-a3fb-4a4d-bcfa-238cdc4273e2 · outbound

This paper cites T., and Mildenhall, B.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation T., and Mildenhall, B

Reference 19

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:0fdd1bc792ec47148d9d3418937146dcb5d9c482e40432d63093b99f80b0d883

Observation 1d22e6af-e33e-41dc-9a61-e99038fb1959 · outbound

This paper cites Structured 3D latents for scalable and versatile 3D generation (TRELLIS).CVPR, 2025.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation Structured 3D latents for scalable and versatile 3D generation (TRELLIS).CVPR, 2025

Reference 20

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:cd2e89cf207aed328dcaa767540cb36cb15242621aa246d3f79889daeaf2df73

Observation 4e8373bb-9846-432d-805a-11b9701f4d38 · outbound

This paper cites NeRF: Representing scenes as neural radiance fields for view synthesis.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation NeRF: Representing scenes as neural radiance fields for view synthesis

Reference 21

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:38a05cc24f6bb01779a64c6b7111bf769b81f04202a611655716d70f17310711

Observation a3f112c5-4c20-4c48-942d-932d28ec65b9 · outbound

This paper cites 3D Gaussian splatting for real-time radiance field rendering.ACM Trans.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation 3D Gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 22

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:268369982e4c4070f18398f87e4bba7155fd7a7fabf983237a858b9571b60061

Observation b12c2b52-89ea-49cc-a6c7-6e28886977af · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.ICLR, 2023.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation Flow straight and fast: Learning to generate and transfer data with rectified flow.ICLR, 2023

Reference 23

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:21d653ed9f754eada160f4fcab3857e2ac440a2aa60b07d587dc2dd2d3038205

Observation e59caa91-b83a-4e84-8b7e-b4547d836e15 · outbound

This paper cites LRM: Large reconstruction model for single image to 3D.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation LRM: Large reconstruction model for single image to 3D

Reference 24

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:06a0aa8cbd0703aad6b64ed4312c7ba19cef0eec8c04a1378d7f1cee51c4ac83

Observation 5480904e-b53f-4480-a4a1-7243daacda38 · outbound

This paper cites One-2-3-45: Any single image to 3D mesh in 45 seconds without per-shape optimization.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation One-2-3-45: Any single image to 3D mesh in 45 seconds without per-shape optimization

Reference 25

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:c27fbdf53ee6b605e4cf47ac57680bc8b07799e4758167be8f9d3a4d71155796

Observation 26c5073e-2ace-4aa7-b0dd-359d119780cf · outbound

This paper cites Wonder3D: Single image to 3D using cross-domain diffusion.CVPR, 2024.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation Wonder3D: Single image to 3D using cross-domain diffusion.CVPR, 2024

Reference 26

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:a9fbb298c0468d90dcd8d2c8364770a4ac7149823d4c0acfd506fe202a49f3d7

Observation 38a7eb8d-1547-45f2-ad74-9adfb167c7d7 · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 27

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local_arxiv, observed 2026-07-03T13:38:19.130651Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:0a32c9e1920126152e1b4f0dddf5c1cca8cb1d68bc22759b08429e4eca8aa5e7

Observation 7ed1a6b6-eaa8-406c-aeb8-addba28b0cc8 · outbound

This paper cites TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models

Reference 28

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local_arxiv, observed 2026-07-03T13:38:19.124879Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:ae10b48428da14efa9c9a56786e45c381076bd2aaed02b6c93bbc0931f2144d8

Observation f7e83cdc-04e6-4994-a6d5-0085c45a6835 · outbound

This paper cites Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

Reference 29

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:fe561039821e8c50537986b0f89187079961a66062fcb74b9a6bfa16102ff6b7

Observation ae9f15b7-64ea-469f-8ae5-f65681e3f4d0 · outbound

This paper cites and Ahmed, F.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation and Ahmed, F

Reference 30

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:223ebf60d31b242da89b723280f2059fea5572ac3e10c222d5d1f7058e597b68

Observation ef399b15-69a0-4188-84da-f696e8890089 · outbound

This paper cites PcDGAN: A continuous condi- tional diverse generative adversarial network for inverse design.KDD, 2021.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation PcDGAN: A continuous condi- tional diverse generative adversarial network for inverse design.KDD, 2021

Reference 31

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:aa9c9fbff9190cc6ee0885592b79223a9d813ac7d0ceb42eb620d753626584eb

Observation 96edc705-ff9e-4cfd-94ec-04401d990cc8 · outbound

This paper cites 3D design using generative adversar- ial networks and physics-based validation.ASME J.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation 3D design using generative adversar- ial networks and physics-based validation.ASME J

Reference 32

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:615ca6ae122f7ef5e41c320665fd888140235afbc80df7d6827fe5e583af78b8

Observation 70f3ff51-2e81-435a-9edf-b86237f48bca · outbound

This paper cites W., Da, D., Fuge, M., and Rai, R.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation W., Da, D., Fuge, M., and Rai, R

Reference 33

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:2dea60213869df1fb05e99a4b53cf4054561065487dee3a29c2cbaab89893d67

Observation 613e36d6-845f-40e9-a129-e652b94d0c4e · outbound

This paper cites and Ahmed, F.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation and Ahmed, F

Reference 34

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:1582202782cf88dbc366883b24f22036c4d27cb003fa75c8e859454615450ea9

Observation 61d04408-f039-429c-ac0d-3f035a0823f4 · outbound

This paper cites W., Hallacy, C., et al.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation W., Hallacy, C., et al

Reference 35

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Observation fc0b3f67-9ce9-465d-83af-a6e760b8ca4b · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 36

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verified exact
local_arxiv, observed 2026-07-03T13:38:19.119965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 31eabb29-8ca8-454c-b447-9ad9424cad37 · outbound

This paper cites Visual Instruction Tuning.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation Visual Instruction Tuning

Reference 37

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verified exact
local_arxiv, observed 2026-07-03T13:38:19.112376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8d39a459-3ef4-414e-ba27-9d6ae764cb07 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.CVPR, 2022.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation High- resolution image synthesis with latent diffusion models.CVPR, 2022

Reference 38

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no resolver link, observed 2026-06-27T07:47:28.665578Z

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Observation 4fb0f6d1-7a91-4c6d-9085-5293dadb7443 · outbound

This paper cites Denoising diffusion probabilistic models.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation Denoising diffusion probabilistic models

Reference 39

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:da9c9671adc620f7cdf1a613e5bead0b7f9dbd9fcb2362d881c0f6ca42efb9b2

Observation b6044654-c919-43e2-bcc0-d4ee90a9d0cf · outbound

This paper cites and Golland, P.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation and Golland, P

Reference 40

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unresolved
no resolver link, observed 2026-06-27T07:47:28.665578Z

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:220d1ebbb2438e38a0f955c392945da028df10b791b7d37e0cd04b579744e8ed

Observation 5155b36d-bd3f-4f89-8d76-0005310955d3 · outbound

This paper cites Emerging properties in self-supervised vision transformers.ICCV, 2021.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation Emerging properties in self-supervised vision transformers.ICCV, 2021

Reference 41

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no resolver link, observed 2026-06-27T07:47:28.665578Z

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:e873548181eabba687b96bbdcacf6129b12060d595611bda6622afe1fda3cee4

Observation 1519beca-1e29-406a-9abb-7b8a905eb41e · outbound

This paper cites A circle fitting procedure and its error analysis.IEEE Trans.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation A circle fitting procedure and its error analysis.IEEE Trans

Reference 42

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unresolved
no resolver link, observed 2026-06-27T07:47:28.665578Z

Source-reported events for the cited work

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:a935bd6c4f2c33919307f05699db77fd8b931045045e7aedd09160fba3ff2998

Observation d11ea9ee-7df9-46b1-9ea6-d4db4c0333fd · outbound

This paper cites Least-squares estimation of transformation parameters between two point patterns.IEEE Trans.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation Least-squares estimation of transformation parameters between two point patterns.IEEE Trans

Reference 43

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unresolved
no resolver link, observed 2026-06-27T07:47:28.665578Z

Source-reported events for the cited work

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source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:76753c480312c4d75afa141b7ba15c1545a8829b4bf468aa2a73f1cdd2de896b

Observation 52e9e013-9820-4ab9-889c-9f0a682618f3 · outbound

This paper cites UniPC: A unified predictor- corrector framework for fast sampling of diffusion models.NeurIPS, 2023.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation UniPC: A unified predictor- corrector framework for fast sampling of diffusion models.NeurIPS, 2023

Reference 44

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no resolver link, observed 2026-06-27T07:47:28.665578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:087f600af0f595f2c59327da3d2fdd29435bcb18e4e496ed352e86ae8dc65b1f

Observation c28e494c-4e4a-4e10-ab59-eaa7c8425f53 · outbound

This paper cites Classifier-Free Diffusion Guidance.

DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation Classifier-Free Diffusion Guidance

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-07-03T13:38:19.114685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T07:47:28.665578Z digest=sha256:2f89c97cbf6caba0b8d0e553faef999bc8df6f825bb805a5694c08ec7efdcae5

Pith citing papers

No inbound Pith citation observations are available.