Paper Citation Record · LEDGER

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation

As of 10 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2507.04685.

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

pith.paper-citation-record.v1
2507.04685 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:48:13.518351Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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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

42 of 42 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e5faa5f-d112-431d-b06e-9f7769755f80 · outbound

This paper cites Synthetic data from diffusion models improves imagenet classification.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Synthetic data from diffusion models improves imagenet classification

Reference 1

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Observation 57405cff-cabe-49e2-bfb8-5c0bf2e13f62 · outbound

This paper cites Language models are few-shot learners.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Language models are few-shot learners

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:14.201122Z

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Observation 2ebea41e-4b44-4e6d-9e50-d6af2bcd8031 · outbound

This paper cites Decor- gan: 3d shape detailization by conditional refinement.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Decor- gan: 3d shape detailization by conditional refinement

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:14.186880Z

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Observation c12ab319-c404-4128-b742-8f26e6d34f08 · outbound

This paper cites 3d u-net: learn- ing dense volumetric segmentation from sparse annota- tion.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation 3d u-net: learn- ing dense volumetric segmentation from sparse annota- tion

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:14.173695Z

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Observation 2c24d545-5dd1-400a-9077-220651c47e41 · outbound

This paper cites Collaborative tooth motion diffusion model in digital orthodontics.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Collaborative tooth motion diffusion model in digital orthodontics

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:14.159936Z

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Observation ac88a527-432e-4f31-b314-7c3bfab46dda · outbound

This paper cites Learning Beyond Human Expertise with Generative Models for Dental Restorations.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Learning Beyond Human Expertise with Generative Models for Dental Restorations

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:48:13.599178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8a0f46c5-54b4-49a9-b020-eeff8cf181a0 · outbound

This paper cites Zero-shot text-guided object gen- eration with dream fields.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Zero-shot text-guided object gen- eration with dream fields

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:14.034144Z

Source-reported events for the cited work

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Observation 55dd0a38-33de-4e1c-a3ff-c917c8ca1333 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 8

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Source-reported events for the cited work

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Observation 460db4d7-1f97-4d5d-9d5c-e1d1c0c357a8 · outbound

This paper cites Dc- face: Synthetic face generation with dual condition diffusion model.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Dc- face: Synthetic face generation with dual condition diffusion model

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:14.016943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef595527-75bb-4ac7-aba3-e399c6056828 · outbound

This paper cites Automatic tooth arrangement with joint features of point and mesh rep- resentations via diffusion probabilistic models.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Automatic tooth arrangement with joint features of point and mesh rep- resentations via diffusion probabilistic models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:14.003482Z

Source-reported events for the cited work

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Observation 076acf09-1fb1-408c-b10e-6e57c487125e · outbound

This paper cites Malocclusion treatment planning via pointnet based spatial transformation network.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Malocclusion treatment planning via pointnet based spatial transformation network

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.985856Z

Source-reported events for the cited work

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Observation 6414ba33-027b-4a0c-b60a-f31b56bcc8b8 · outbound

This paper cites Magic3d: High-resolution text-to-3d content creation.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Magic3d: High-resolution text-to-3d content creation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.970143Z

Source-reported events for the cited work

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Observation 0f82837f-a8fd-4bc2-879e-134f71b0a2c3 · outbound

This paper cites iorthopredictor: model- guided deep prediction of teeth alignment.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation iorthopredictor: model- guided deep prediction of teeth alignment

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.954586Z

Source-reported events for the cited work

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Observation f8fca89d-b7c5-4239-af2e-515cf15d524b · outbound

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

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimiza- tion

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.940165Z

Source-reported events for the cited work

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Observation a36415c8-0b08-4e94-9d48-654c10989435 · outbound

This paper cites Meshdiffu- sion: Score-based generative 3d mesh modeling.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Meshdiffu- sion: Score-based generative 3d mesh modeling

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.924980Z

Source-reported events for the cited work

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Observation d2796b49-4a98-4180-a7f5-585ada29e0c5 · outbound

This paper cites Point- voxel cnn for efficient 3d deep learning.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Point- voxel cnn for efficient 3d deep learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.910018Z

Source-reported events for the cited work

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Observation 721971a5-cbd0-4e29-aa94-60165e6a7960 · outbound

This paper cites Wonder3d: Sin- gle image to 3d using cross-domain diffusion.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Wonder3d: Sin- gle image to 3d using cross-domain diffusion

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.895392Z

Source-reported events for the cited work

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Observation c2cdcdad-94ed-462d-9524-fb280cc1b800 · outbound

This paper cites Diffusion probabilistic models for 3d point cloud generation.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Diffusion probabilistic models for 3d point cloud generation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.881379Z

Source-reported events for the cited work

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Observation 290f2aca-01e3-40a1-92da-aba268c74c0a · outbound

This paper cites Dit-3d: Exploring plain diffusion transformers for 3d shape generation.NeurIPS, 36: 67960–67971, 2023.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Dit-3d: Exploring plain diffusion transformers for 3d shape generation.NeurIPS, 36: 67960–67971, 2023

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.869692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 630142f0-c62a-46bb-a850-2e51a1cf3ec8 · outbound

This paper cites Fast marching far- thest point sampling.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Fast marching far- thest point sampling

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.857500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55f84710-ad21-4abd-9bf3-88c2ace00d59 · outbound

This paper cites Polygen: An autoregressive generative model of 3d meshes.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Polygen: An autoregressive generative model of 3d meshes

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.845703Z

Source-reported events for the cited work

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Observation 67d886e2-7d92-4eaa-bf94-42ca7510e3f9 · outbound

This paper cites Improved denoising diffusion probabilistic models.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Improved denoising diffusion probabilistic models

Reference 22

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Source-reported events for the cited work

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Observation fb895c34-1aca-43b0-9bed-48471059c7fe · outbound

This paper cites A time for change of tooth numbering systems.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation A time for change of tooth numbering systems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.825876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 991764ad-c773-4a4e-a497-aba342e5f12b · outbound

This paper cites Dreamfusion: Text-to-3d using 2d diffusion.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Dreamfusion: Text-to-3d using 2d diffusion

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.813396Z

Source-reported events for the cited work

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Observation b099f02c-49d8-496b-af9b-ccf95e7e39f1 · outbound

This paper cites Dreambooth3d: Subject-driven text-to-3d generation.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Dreambooth3d: Subject-driven text-to-3d generation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.794118Z

Source-reported events for the cited work

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Observation 9c1fdb78-ea7d-497f-b679-c4e7d96bad93 · outbound

This paper cites Palette: Image-to-image diffusion models.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Palette: Image-to-image diffusion models

Reference 26

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Source-reported events for the cited work

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Observation 10a94bb0-2cd6-4a62-b93e-e273e631f75c · outbound

This paper cites OrthoGAN:High-Precision Image Generation for Teeth Orthodontic Visualization.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation OrthoGAN:High-Precision Image Generation for Teeth Orthodontic Visualization

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:48:13.570000Z

Source-reported events for the cited work

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Observation ecd34e4e-2c62-4573-a200-8a0f6e248f1c · outbound

This paper cites Ai models collapse when trained on recursively generated data.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Ai models collapse when trained on recursively generated data

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.768114Z

Source-reported events for the cited work

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Observation 6a0c4498-7889-47d3-a9fc-2792376d4b45 · outbound

This paper cites Meshgpt: Generating triangle meshes with decoder-only transformers.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Meshgpt: Generating triangle meshes with decoder-only transformers

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.753231Z

Source-reported events for the cited work

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Observation 7c1396a0-8035-47fa-983a-6bec6bacbece · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Deep unsupervised learning using nonequilibrium thermodynamics

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.740947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation abdfff99-a2b1-4e5d-997b-2ed739a0fef8 · outbound

This paper cites Score-based generative modeling through stochastic differential equa- tions.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Score-based generative modeling through stochastic differential equa- tions

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.728378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0e98403-11d0-4a30-97a2-e3a6900550b9 · outbound

This paper cites Vari- ational autoencoders for deforming 3d mesh models.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Vari- ational autoencoders for deforming 3d mesh models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.717548Z

Source-reported events for the cited work

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Observation b71555d7-11b4-425b-a081-16fbd63d4dfb · outbound

This paper cites Lion: Latent point dif- fusion models for 3d shape generation.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Lion: Latent point dif- fusion models for 3d shape generation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.706103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef89c2e0-8ae7-4c87-9ff2-9e6c1e303ede · outbound

This paper cites Neural discrete representation learning.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Neural discrete representation learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.695625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 54548164-f524-4e09-bb20-76113585c623 · outbound

This paper cites Tooth alignment network based on landmark constraints and hierarchical graph structure.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Tooth alignment network based on landmark constraints and hierarchical graph structure

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.680896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7046bf1e-712f-4f3e-8260-2db7ea552e8b · outbound

This paper cites A 3d dental model dataset with pre/post- orthodontic treatment for automatic tooth alignment [data set].

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation A 3d dental model dataset with pre/post- orthodontic treatment for automatic tooth alignment [data set]

Reference 36

Resolution: verified exact; doi, observed 2026-08-06T19:48:13.551081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d5a11aa-32e4-4809-aecf-61e246c0635d · outbound

This paper cites Tanet: To- wards fully automatic tooth arrangement.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Tanet: To- wards fully automatic tooth arrangement

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.667849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e2ebd1f2-7257-4079-b62e-355aaefe4a27 · outbound

This paper cites Learning pro- gressive point embeddings for 3d point cloud generation.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Learning pro- gressive point embeddings for 3d point cloud generation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.654306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5cf5c383-6054-4b70-8e82-c5418752dd06 · outbound

This paper cites Pointflow: 3d point cloud generation with continuous normalizing flows.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation Pointflow: 3d point cloud generation with continuous normalizing flows

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.642555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 417b2379-c081-4813-9c87-c56b27d6016e · outbound

This paper cites 3dstyle-diffusion: Pursuing fine-grained text-driven 3d stylization with 2d diffusion models.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation 3dstyle-diffusion: Pursuing fine-grained text-driven 3d stylization with 2d diffusion models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.631826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2b99d85c-d75f-4aec-ab17-a786c88a6fc4 · outbound

This paper cites 3d shape genera- tion and completion through point-voxel diffusion.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation 3d shape genera- tion and completion through point-voxel diffusion

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.621045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2069b29b-399d-4c1f-b8b8-936322414ea5 · outbound

This paper cites On the continuity of rotation representations in neural networks.

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation On the continuity of rotation representations in neural networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:13.609417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.