Paper Citation Record · LEDGER

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation

As of 14 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 5 inbound Pith citation observations for arXiv:2501.05427.

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

pith.paper-citation-record.v1
2501.05427 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:18:45.089456Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T10:57:04.856666Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:18:37.505367Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy3
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b796d6b1-52d9-4af9-8cab-4dbfdc99e5e7 · outbound

This paper cites GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:44.885930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 713972ba-700a-465b-ba43-a505fa7e8545 · outbound

This paper cites CAT3D: Create Anything in 3D with Multi-View Diffusion Models.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation CAT3D: Create Anything in 3D with Multi-View Diffusion Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:44.892157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfad5e86-81a3-4f65-9534-96ef741e91d6 · outbound

This paper cites GVGEN: Text-to-3D Generation with Volumetric Representation.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation GVGEN: Text-to-3D Generation with Volumetric Representation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:44.901994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f4c94f9-4a32-43ce-ba14-83cb3908db95 · outbound

This paper cites LRM: Large Reconstruction Model for Single Image to 3D.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation LRM: Large Reconstruction Model for Single Image to 3D

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:44.928391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6654cd73-4ea3-4d6f-8bc0-33fb861b0e50 · outbound

This paper cites 2d gaussian splatting for geometrically accurate radiance fields.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation 2d gaussian splatting for geometrically accurate radiance fields

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:18:45.949253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f9ff4df0-ba78-4a3e-b4cb-ba27e736bc00 · outbound

This paper cites Shap-E: Generating Conditional 3D Implicit Functions.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation Shap-E: Generating Conditional 3D Implicit Functions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:44.944144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39372d38-5354-4ed8-9c39-cae726fe389f · outbound

This paper cites Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:44.950867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 354f91e3-4411-49cd-9c69-8c1e4dc0c4c7 · outbound

This paper cites Ln3diff: Scalable latent neural fields diffusion for speedy 3d generation.arXiv preprint arXiv:2403.12019,.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation Ln3diff: Scalable latent neural fields diffusion for speedy 3d generation.arXiv preprint arXiv:2403.12019,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:44.957636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20c2c3cb-b08d-4ad6-8521-ca1f2498e620 · outbound

This paper cites Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:44.963368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 440ded59-43cb-4e22-99da-98f20148aca5 · outbound

This paper cites Part123: Part-aware 3d reconstruction from a single-view image.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation Part123: Part-aware 3d reconstruction from a single-view image

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:18:45.932037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 624f1196-7b90-430b-9126-eafae05c043e · outbound

This paper cites One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:44.976390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acc432d1-bdb5-4d98-8a3e-684c60365699 · outbound

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

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:44.988679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b44d58c9-63f1-43e3-86eb-d5e3959c8cd7 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation DreamFusion: Text-to-3D using 2D Diffusion

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:44.994908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0940014-8581-4bf3-8d5a-4094c57b7df4 · outbound

This paper cites MVDream: Multi-view Diffusion for 3D Generation.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation MVDream: Multi-view Diffusion for 3D Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:45.001737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e28daf65-cd5c-4fa8-b9c6-0057d8106ba3 · outbound

This paper cites Consistency Models.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation Consistency Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:45.007841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 860f0452-5681-41ea-8785-52c526eb327a · outbound

This paper cites DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:45.013243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a714192-5caa-4e4c-a651-a901bd975163 · outbound

This paper cites LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:45.019536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8487e1a-bc15-40d5-a2b8-21935dc5ed10 · outbound

This paper cites TripoSR: Fast 3D Object Reconstruction from a Single Image.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation TripoSR: Fast 3D Object Reconstruction from a Single Image

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:45.035651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f4e2330-06ab-4627-9300-962b9cc311f1 · outbound

This paper cites GECO: Generative Image-to-3D within a SECOnd.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation GECO: Generative Image-to-3D within a SECOnd

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:45.042945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8e7a808-9e59-4c61-a382-5441b722c46e · outbound

This paper cites ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:45.048848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8220a0c7-e5e7-4f1c-a6c3-008fb90e9901 · outbound

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

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:45.055266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26133e6c-f0f4-4121-92a4-01cd84a09005 · outbound

This paper cites DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:45.060545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5589f610-afae-412d-9cbd-3b653f0d528e · outbound

This paper cites An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:45.066151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eea81d25-f465-4d1c-a6c5-960b7dd74e18 · outbound

This paper cites 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:45.072084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a97a9450-1c58-46fc-a408-318fbdc34fb0 · outbound

This paper cites The training objective is to compare the splatter renderings with ground truth images using MSE and LPIPS loss.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation The training objective is to compare the splatter renderings with ground truth images using MSE and LPIPS loss

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:18:45.913595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3ed72d4f-0f52-486c-b3dc-64ce0da5272a · outbound

This paper cites Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:45.077414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba668108-45d6-4041-bced-810e4dffdaea · outbound

This paper cites 3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation 3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:44.909343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4374915b-736d-47b9-9e60-3be8046e6553 · outbound

This paper cites Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:45.083440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a019b4ae-074b-4b91-87d1-c0c8773ed006 · outbound

This paper cites Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:44.879114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 095aec88-41d7-43b1-bb3d-a0ce5f90c742 · outbound

This paper cites Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:44.865323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34906667-b18d-4792-a29e-44a6041efc73 · outbound

This paper cites Google scanned objects: A high-quality dataset of 3d scanned household items.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation Google scanned objects: A high-quality dataset of 3d scanned household items

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:44.871923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 508bcaa3-049d-410f-84ca-c0a3d91ed93a · inbound

Rectifying Mask via Entropy for Distractor-Free 3DGS in Ambiguous Scenarios cites this paper.

Rectifying Mask via Entropy for Distractor-Free 3DGS in Ambiguous Scenarios Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T07:14:21.313031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 52bda9b5-a840-445b-be9d-d449707849e3 · inbound

Rectifying Mask via Entropy for Distractor-Free 3DGS in Ambiguous Scenarios cites this paper.

Rectifying Mask via Entropy for Distractor-Free 3DGS in Ambiguous Scenarios Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-12T10:57:04.856666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54688116-3873-42cd-bd6d-008525ba7928 · inbound

PixGS: Pixel-Space Diffusion for Direct 3D Gaussian Splat Generation cites this paper.

PixGS: Pixel-Space Diffusion for Direct 3D Gaussian Splat Generation Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:18:37.506749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d3608123-9d7e-44f0-82be-4a046e7a8143 · inbound

PixGS: Pixel-Space Diffusion for Direct 3D Gaussian Splat Generation cites this paper.

PixGS: Pixel-Space Diffusion for Direct 3D Gaussian Splat Generation Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-12T08:36:06.846852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee20e808-0729-451e-8e1c-394faee8491b · inbound

AdaptiveSplat:Texture Aware Controllable 3D Gaussian Allocation for Feed-Forward Reconstruction cites this paper.

AdaptiveSplat:Texture Aware Controllable 3D Gaussian Allocation for Feed-Forward Reconstruction Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-11T20:35:53.491714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.