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Paper Citation Record · LEDGER

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality

As of 24 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2504.21033.

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

pith.paper-citation-record.v1
2504.21033 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:00:26.247572Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

35 of 35 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 007574cc-0766-4943-b32f-2ca3a6b89543 · outbound

This paper cites Learn- ing representations and generative models for 3D point clouds.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Learn- ing representations and generative models for 3D point clouds

Reference 1

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Observation cdebc256-5c76-4695-aca5-f02afd204a59 · outbound

This paper cites Generative multi-modal artificial intelligence for dynamic real-time context-aware content creation in augmented reality.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Generative multi-modal artificial intelligence for dynamic real-time context-aware content creation in augmented reality

Reference 2

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Observation 2a9af6e3-db66-4be8-bf57-bb427d5c7ae7 · outbound

This paper cites Generative AI for context-aware 3D object creation using vision-language models in augmented reality.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Generative AI for context-aware 3D object creation using vision-language models in augmented reality

Reference 3

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Observation 65e272a1-01fe-4859-bcb0-8fff69393f95 · outbound

This paper cites Multilingual standalone trustworthy voice-based social network for disaster situ- ations.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Multilingual standalone trustworthy voice-based social network for disaster situ- ations

Reference 4

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Source-reported events for the cited work

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Observation e8665785-b07a-43c7-8a94-38be675f5670 · outbound

This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 5

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Source-reported events for the cited work

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Observation 26d6059c-f70a-47bb-a60c-c49c2ebc6a44 · outbound

This paper cites Chan, Connor Z.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Chan, Connor Z

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 85d4d227-4e65-4bfe-91b4-dd8daf621219 · outbound

This paper cites Learning implicit fields for generative shape model- ing.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Learning implicit fields for generative shape model- ing

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 993a86da-4518-4a65-aefa-566a3d40d642 · outbound

This paper cites Towards real time object recognition for context awareness in mixed reality: A machine learning approach.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Towards real time object recognition for context awareness in mixed reality: A machine learning approach

Reference 8

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Source-reported events for the cited work

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Observation 3ee539a4-76d7-4e2c-984f-fbdea029adfb · outbound

This paper cites GET3D: A generative model of high quality 3D textured shapes learned from images.Advances in Neural Information Processing Systems, 35:31841–31854, 2022.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality GET3D: A generative model of high quality 3D textured shapes learned from images.Advances in Neural Information Processing Systems, 35:31841–31854, 2022

Reference 9

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Observation b660fb6d-caac-4e44-97bc-5d1ff7858f53 · outbound

This paper cites Rich feature hierarchiesforaccurateobjectdetectionandsemanticsegmentation.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Rich feature hierarchiesforaccurateobjectdetectionandsemanticsegmentation

Reference 10

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Observation e02864d5-6ffd-4d4d-b73c-4e40f8e4df50 · outbound

This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde- Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde- Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio

Reference 11

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Source-reported events for the cited work

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Observation 958f1894-6d5f-48cc-a050-41088d28f511 · outbound

This paper cites MeshCNN: A network with an edge.ACM Transactions on Graphics, 38(4):1–12, 2024.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality MeshCNN: A network with an edge.ACM Transactions on Graphics, 38(4):1–12, 2024

Reference 12

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Observation 34690899-ac0d-45c3-ba17-b7a157307ddd · outbound

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Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Unresolved cited work

Reference 13

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Observation 05d26834-ec0a-4fcc-a6ae-f9809396c873 · outbound

This paper cites Mask R-CNN.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Mask R-CNN

Reference 14

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Observation ac125682-a740-4572-b186-8fe83df8fe6b · outbound

This paper cites an unresolved cited work.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 55a8bf3b-a120-4c74-9435-2ef32d806d7a · outbound

This paper cites Neural wavelet-domain diffusion for 3D shape generation.ACM SIGGRAPH Asia, 2022.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Neural wavelet-domain diffusion for 3D shape generation.ACM SIGGRAPH Asia, 2022

Reference 16

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Observation 8b2a42bf-dbed-4a96-9360-2d4830d64f17 · outbound

This paper cites Diffusion probabilistic models for 3D point cloud gener- ation.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Diffusion probabilistic models for 3D point cloud gener- ation

Reference 17

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Observation bcd36124-31ce-4f13-b69c-832db5858e0f · outbound

This paper cites Mueller and Katja Thoring.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Mueller and Katja Thoring

Reference 18

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Observation d1bc3244-ab53-4b0f-afb3-fc83874130cc · outbound

This paper cites Object detection of aerial image using mask-region convolutional neural network (mask R-CNN).IOP Con- ference Series: Earth and Environmental Science, 500:012090, 2020.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Object detection of aerial image using mask-region convolutional neural network (mask R-CNN).IOP Con- ference Series: Earth and Environmental Science, 500:012090, 2020

Reference 19

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Observation 3caa8726-e32a-427d-9a22-7ce8868c062e · outbound

This paper cites Transframer: Arbitrary Frame Prediction with Generative Models.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Transframer: Arbitrary Frame Prediction with Generative Models

Reference 20

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Observation 12bb15b9-8d14-467c-9576-a8da6fe6ddc2 · outbound

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Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Unresolved cited work

Reference 21

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Observation bcf9f2cb-5df1-47ff-a949-c09ede12e4f1 · outbound

This paper cites You only look once: Unified, real-time object detection.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality You only look once: Unified, real-time object detection

Reference 22

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Observation 1f1aa354-dafd-490f-a3bd-0ac6065f2b48 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality YOLOv3: An Incremental Improvement

Reference 23

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Observation 5c19134c-6fe7-4f7c-9f4a-637cbfc35990 · outbound

This paper cites Faster R-CNN: Towards real-time object detection with region proposal networks.IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(6):1137–1149, 2017.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Faster R-CNN: Towards real-time object detection with region proposal networks.IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(6):1137–1149, 2017

Reference 24

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Observation 28618a3a-d5a5-4f58-a341-2de8b0e39544 · outbound

This paper cites Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, and Gordon Wetzstein.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, and Gordon Wetzstein

Reference 25

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Observation c8c323ae-10fc-411b-bbf3-8c57f94449c7 · outbound

This paper cites Sparse R-CNN: End-to-End Object Detection with Learnable Proposals.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

Reference 26

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Observation a6c48450-901a-4b0a-b7be-4a7ff7ce069a · outbound

This paper cites Regression shrinkage and selection via the Lasso.Journal of the Royal Statistical Society: Series B (Methodological), 58(1):267–288, 1996.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Regression shrinkage and selection via the Lasso.Journal of the Royal Statistical Society: Series B (Methodological), 58(1):267–288, 1996

Reference 27

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Source-reported events for the cited work

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Observation 53250ab0-90e3-446c-8a07-d4edad41eaff · outbound

This paper cites Pixelnerf: Neural radiance fields from one or few images.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Pixelnerf: Neural radiance fields from one or few images

Reference 28

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Source-reported events for the cited work

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Observation 2ba9376f-2efa-4f0d-8a6f-556e75ccd81a · outbound

This paper cites CAST: Effective and efficient user interaction for context-aware selection in 3D particle clouds.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality CAST: Effective and efficient user interaction for context-aware selection in 3D particle clouds

Reference 29

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Source-reported events for the cited work

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Observation 1f431d39-fd0b-4cc2-b9c1-a9e1d59ef945 · outbound

This paper cites Zamir, Alexander Sax, William Shen, Leonidas Guibas, Jitendra Ma- lik, and Silvio Savarese.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Zamir, Alexander Sax, William Shen, Leonidas Guibas, Jitendra Ma- lik, and Silvio Savarese

Reference 30

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Observation f6c78b0a-5339-4fd3-8c27-c5d4d6b23ce6 · outbound

This paper cites LION: Latent Point Diffusion Models for 3D Shape Generation.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality LION: Latent Point Diffusion Models for 3D Shape Generation

Reference 31

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Source-reported events for the cited work

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Observation dedd915c-0f36-4df1-9d43-bc6cfdd15113 · outbound

This paper cites Locally Attentional SDF Diffusion for Controllable 3D Shape Generation.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Locally Attentional SDF Diffusion for Controllable 3D Shape Generation

Reference 32

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Observation b010f974-e7e9-4701-9c48-1a789c9ed80c · outbound

This paper cites Objects as Points.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Objects as Points

Reference 33

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no resolver link, observed 2026-08-16T06:00:26.241478Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T06:00:26.241478Z digest=sha256:d51b156959228eac8fc827be98ef807449059c93682ffe217d9ae3d0f8a9dbab

Observation 1166f21d-9171-4dc2-a6fb-1e58eb78e6f9 · outbound

This paper cites Sparsefusion: Distilling view-conditioned diffusion for 3D reconstruction.CVPR, 2023.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Sparsefusion: Distilling view-conditioned diffusion for 3D reconstruction.CVPR, 2023

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:26.352531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T06:00:26.244789Z digest=sha256:e94e3f85ac0520ee2deba85cbade3449e4965d304897828b76eb40e87c43ffd6

Observation a2101271-bed7-48a3-a0c2-a65e0214dac9 · outbound

This paper cites LassoNet: Deep Lasso-selection of 3D point clouds.

Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality LassoNet: Deep Lasso-selection of 3D point clouds

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:26.342944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T06:00:26.247572Z digest=sha256:f5d9ea5631edcc0158f989b0180c031b58dca93415f065489276c9711b722285

Pith citing papers

No inbound Pith citation observations are available.