Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T08:10:10.744434Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 6 inbound Pith citation observations for arXiv:2510.22491.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T08:10:10.744434Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T21:32:46.803408Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T06:35:09.461044Z
42 of 42 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 13219519-6adb-4fcb-a917-1e4aa0b4ac3e · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Learning representations and generative models for 3d point clouds
Reference 1
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Observation b137041b-2d3c-49dc-8f71-be911397b5bc · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Learning from Randomly Initialized Neural Network Features
Reference 2
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Observation a95de1d8-b09c-494b-930a-660bd42aac30 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Sal: Sign agnostic learning of shapes from raw data
Reference 3
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Observation 704f182c-b919-4459-98ac-9bc294f6af66 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Gan cocktail: Mixing GAN s without dataset access
Reference 4
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Observation e2126e7a-d55b-4033-80ae-bb22ea376f81 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Diffusion soup: Model merging for text-to-image diffusion models
Reference 5
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Observation 01eb257f-a043-4c84-81b1-3e62c96e4d55 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Sdf-diff: Differentiable rendering of signed distance fields for 3d shape editing
Reference 6
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Observation 262a3418-0fb4-4c1d-89c4-a7c20892dc73 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Maskedgen: Conditional 3d shape generation with masked diffusion
Reference 7
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Observation 4b164b3c-fbbb-4d19-887c-bdbc443bc956 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Schwing, and Liang-Yan Gui
Reference 8
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Observation c73d23ea-8fc8-4dc0-8b1c-e3a9ad61cdc6 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 45b57455-8cf7-44f4-b7e8-92a6eac6a3a3 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Diffusion-sdf: Conditional generative modeling of signed distance functions
Reference 10
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Observation 8ad4640f-c1a7-4222-99a5-c0b7e78421a0 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Cad2shape: Learning geometry representations from cad
Reference 11
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Observation aba0689a-77ba-4c2b-bbea-fede8460fdff · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Drivaernet++: A large-scale multimodal car dataset with computational fluid dynamics simulations and deep learning benchmarks
Reference 12
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Observation bb74b1e8-2ac1-4f4a-a129-225cd5f5a0c2 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Hyperdiffusion: Generating implicit neural fields with weight-space diffusion
Reference 13
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Observation 258067de-704e-40e6-8dba-4ff708ada38d · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation GET3D : A generative model of high quality 3d textured shapes learned from images
Reference 14
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Unavailable: canonical work link unavailable.
Observation 0dbb6265-b64e-4ac0-be45-880691ebec0f · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Sdm-net: Deep generative network for structured deformable mesh
Reference 15
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Observation 365ad26d-ae1a-44c3-bde9-889436d16052 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Atlasnet: A papier-mâché approach to learning 3d surface generation
Reference 16
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Observation 75ac1cf0-db31-4c6f-a8c8-e5025a0064c9 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation A Mechanism for Producing Aligned Latent Spaces with Autoencoders
Reference 17
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Observation fb30e42f-50be-4fcf-9944-ef58ce9cc2ec · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Salad: Part-level latent diffusion for 3d shape generation and manipulation
Reference 18
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Observation 279a2e07-f9e7-4b61-b373-c2577ed90985 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Gen-ldm: A generative latent diffusion model for 3d shape generation
Reference 19
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Observation 747a07b2-6237-4ddf-8b86-f4972600951d · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Openshape: Scaling up 3d shape representation towards open-world understanding
Reference 20
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Observation a0fb53b4-4a33-4ae3-871d-d0429f47171c · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Marching cubes: A high resolution 3d surface construction algorithm
Reference 21
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Observation fbe2c5bc-053e-4fb7-a9d6-0e4196473e0e · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Vehiclesdf: A 3d generative model for constrained engineering design via surrogate modeling
Reference 22
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Observation eab5263f-a4fd-41c1-90b8-3b3230789ff9 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
Reference 23
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Observation 7b5d804f-ae9f-4d48-9283-6090d7057873 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Deepsdf: Learning continuous signed distance functions for shape representation
Reference 24
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Observation c179c907-ad8f-4090-8d0a-a4c8c4a1f2cb · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Pointnet: Deep learning on point sets for 3d classification and segmentation
Reference 25
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Unavailable: canonical work link unavailable.
Observation b6c4bb05-e5aa-4219-9d0d-5f06c49564e4 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero, and Kamal Rahimi Malekshan
Reference 26
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Observation f64af1af-dee5-4e2b-a4f7-f24179f6538d · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Sketchgraphs: A large-scale dataset for modeling relational geometry in cad
Reference 27
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Unavailable: canonical work link unavailable.
Observation 44205b37-644b-40e6-b474-3283f3260843 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Blendednet: A blended wing body aircraft dataset and surrogate model for aerodynamic predictions
Reference 28
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Observation e2f374b5-732c-4b59-a925-d1689d4dd041 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Regression shrinkage and selection via the lasso
Reference 29
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Observation 36c6dc6f-f18b-44c3-b3a2-f06ecf3310ab · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Lion: Latent point diffusion models for 3d shape generation
Reference 30
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Observation 48b3312d-af38-4101-b734-ac6cfb7cec26 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Deepcad: A deep generative network for computer-aided design models
Reference 31
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Observation e93321c2-e3e2-479c-a014-cb715e9083c7 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Deep network interpolation for continuous imagery effect transition
Reference 32
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Observation d44427cf-42cb-420d-9637-87c6f48d299a · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Reference 33
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Observation 651fb9ab-d986-47c1-b32b-d2b8ff7d8569 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
Reference 34
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Observation e6dff850-6099-4164-9a9f-adba6867c069 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Structured 3d latents for scalable and versatile 3d generation
Reference 35
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Observation 96fcfe63-cfb5-4169-9e5b-f216b09e9b1e · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Learning semantic deformation flows with 3d convolutional networks
Reference 36
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Observation 8ab2815b-293a-42da-8f8f-a43011fba41b · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Lion: Latent point diffusion models for 3d shape generation
Reference 37
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Observation b224c2ec-be75-460d-bb02-88a9e0d1bd4e · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Michelangelo: Conditional 3d shape generation based on shape-image-text aligned latent representation
Reference 38
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Observation 0ac83162-98c3-427a-af98-336d47698f4a · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation write newline
Reference 39
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Observation db8b05f7-13bf-4a38-8cc8-26aa7779a400 · outbound
Reference 40
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Observation 5f3969aa-6ba1-4abb-af2f-799553a96055 · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Unresolved cited work
Reference 41
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Observation 6b4ae7b4-59d6-4daf-b5d0-4a55e850935b · outbound
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Unresolved cited work
Reference 42
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Observation 06843db3-79d6-4cfd-af6f-3d4d3d20b310 · inbound
FLARE: A Data-Efficient Surrogate for Predicting Displacement Fields in Directed Energy Deposition LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation
Reference 38
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7af588a8-5c13-429d-95d2-f99d0e057f9d · inbound
GeoFunFlow-3D: A Physics-Guided Generative Flow Matching Framework for High-Fidelity 3D Aerodynamic Inference over Complex Geometries LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation
Reference 29
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a49d45e5-43f4-47ff-afd8-67cb6c198b86 · inbound
Geometry-Aware Neural Optimizer for Shape Optimization and Inversion LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation
Reference 20
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ec1af490-0a67-4676-8ee5-f2c688091a49 · inbound
Geometry-Aware Neural Optimizer for Shape Optimization and Inversion LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation
Reference 20
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation edb8bf4f-2903-4897-80e5-af80ca8c9420 · inbound
Geometry-Aware Neural Optimizer for Shape Optimization and Inversion LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation
Reference 20
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 18767083-5945-4801-a414-98d4002c6173 · inbound
CertMix: Certified, Data-Efficient Metamaterial Design by Affine Mixing of Aligned Neural-Implicit Weight Spaces LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation
Reference 1
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Unavailable: canonical work link unavailable.