Paper Citation Record · LEDGER

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation

As of 20 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 2 inbound Pith citation observations for arXiv:2508.20470.

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

pith.paper-citation-record.v1
2508.20470 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:10:34.667840Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T07:34:02.473153Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T22:54:16.471407Z

Reference resolution

79 of 79 outbound references displayed

verified exact3
verified fuzzy27
unresolved49
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdb88eb0-d696-42d4-8975-d7f79a52a4a1 · outbound

This paper cites Cogvideox-fun.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Cogvideox-fun

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.477185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 038ae0e0-fb70-4c88-b119-cc85144b74cb · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.412028Z

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Observation 15a7a203-0b00-42e4-9124-10300e28d5b0 · outbound

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

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation ShapeNet: An Information-Rich 3D Model Repository

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.416626Z

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Observation df4cb201-3849-473c-ab08-4c7d8da7ce65 · outbound

This paper cites V3D: Video Diffusion Models are Effective 3D Generators.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation V3D: Video Diffusion Models are Effective 3D Generators

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.420320Z

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Observation 4aedacee-1980-4c7c-917e-1a2627eb6f77 · outbound

This paper cites LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.423991Z

Source-reported events for the cited work

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Observation eb9a176c-7e88-48d8-a660-86665ff3f2ac · outbound

This paper cites Objaverse-xl: A universe of 10m+ 3d objects.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Objaverse-xl: A universe of 10m+ 3d objects

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.431666Z

Source-reported events for the cited work

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Observation d06bf7e9-5878-410d-b685-315402876487 · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Objaverse: A universe of annotated 3d objects

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.434540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c6ece97-f254-4715-961b-dbf1ba133a08 · outbound

This paper cites Anymate: A dataset and baselines for learning 3d object rigging.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Anymate: A dataset and baselines for learning 3d object rigging

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.454425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 19effd8d-d214-47d5-95bf-bc6f0dd197a3 · outbound

This paper cites 8-bit Optimizers via Block-wise Quantization.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation 8-bit Optimizers via Block-wise Quantization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.440764Z

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Observation 455e98bc-a6fa-44bc-898e-bb2f1b00653b · outbound

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

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Google scanned objects: A high-quality dataset of 3d scanned household items

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.444466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 76c09b22-09ef-4482-a256-c8677765ca0e · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.447593Z

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Observation 17e3b382-9ebc-4316-925c-107e4111cbd6 · outbound

This paper cites Video-R1: Reinforcing Video Reasoning in MLLMs.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Video-R1: Reinforcing Video Reasoning in MLLMs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.450897Z

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Observation 00056075-ff47-423b-9e10-f36030e75984 · outbound

This paper cites 3d-future: 3d furniture shape with texture.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation 3d-future: 3d furniture shape with texture

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.434841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation facc6d13-c6f4-4733-8839-c90479ad228d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.457032Z

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Observation 3f65ac03-c715-434a-a339-3e3c1ed85d77 · outbound

This paper cites Vfusion3d: Learning scalable 3d generative models from video diffusion models.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Vfusion3d: Learning scalable 3d generative models from video diffusion models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.425434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd0bcfaa-ced7-4c8a-a4bb-784139fc100b · outbound

This paper cites MVImgNet2.0: A Larger-scale Dataset of Multi-view Images.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation MVImgNet2.0: A Larger-scale Dataset of Multi-view Images

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.464265Z

Source-reported events for the cited work

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Observation d958bc0b-8f21-4635-a707-b99e7de1bffb · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.467803Z

Source-reported events for the cited work

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Observation 48f5ad7a-0b13-48d9-a84c-74fe91651b8e · outbound

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

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation LRM: Large Reconstruction Model for Single Image to 3D

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.470949Z

Source-reported events for the cited work

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Observation 21de0803-f76f-41a1-883c-72c15bd8c000 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation LoRA: Low-Rank Adaptation of Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.474148Z

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Unavailable: canonical work link unavailable.

Observation 308b1e13-b853-45d9-8cde-43f304a4edae · outbound

This paper cites Edit360: 2D Image Edits to 3D Assets from Any Angle.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Edit360: 2D Image Edits to 3D Assets from Any Angle

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.477296Z

Source-reported events for the cited work

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Observation 08b9e0f6-d422-4e49-abe8-425f98cd375d · outbound

This paper cites Epidiff: Enhancing multi-view synthesis via localized epipolar-constrained diffusion.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Epidiff: Enhancing multi-view synthesis via localized epipolar-constrained diffusion

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.415474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 920d776e-ef5c-4ce2-bce1-0c264c059269 · outbound

This paper cites Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.483179Z

Source-reported events for the cited work

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Observation 988279af-96ff-4ed8-bd96-30bc857d3558 · outbound

This paper cites OpenAI o1 System Card.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation OpenAI o1 System Card

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.486525Z

Source-reported events for the cited work

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Observation 17b7d81f-4e50-41bc-83c2-e5a8a534ae52 · outbound

This paper cites Animate3D: Animating Any 3D Model with Multi-view Video Diffusion.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Animate3D: Animating Any 3D Model with Multi-view Video Diffusion

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.489621Z

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Observation ad06960e-1424-4cd1-93aa-5ac15bedcb22 · outbound

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

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Shap-E: Generating Conditional 3D Implicit Functions

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.492842Z

Source-reported events for the cited work

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Observation 695a08c6-6853-4d49-9691-7fb91f2bc1f2 · outbound

This paper cites Consistent Zero-shot 3D Texture Synthesis Using Geometry-aware Diffusion and Temporal Video Models.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Consistent Zero-shot 3D Texture Synthesis Using Geometry-aware Diffusion and Temporal Video Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:10:34.993723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4cfde178-041e-44a6-837a-b1fd290b6443 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation 3d gaussian splatting for real-time radiance field rendering

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.499286Z

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Observation d4ac9a47-1d0b-4352-b197-5e3f16c30e7e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Adam: A Method for Stochastic Optimization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.502295Z

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Observation f9a65250-3c3d-4b5f-b1e4-426cdf3a4671 · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.505566Z

Source-reported events for the cited work

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Observation 386283b7-d241-47bf-846f-3626931ae5b2 · outbound

This paper cites Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.508756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c95281-7e4f-4149-aeba-d220a21ac823 · outbound

This paper cites Image content generation with causal reasoning.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Image content generation with causal reasoning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.400254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 37e92540-c9fd-4f8c-bdcd-5b5e6de8ae4a · outbound

This paper cites Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.514985Z

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Observation 193df7d9-d4fa-4e5b-a63f-55daa513e363 · outbound

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

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Magic3d: High-resolution text-to-3d content creation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.518286Z

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Observation 182183d9-301d-476e-9043-ed6357f67143 · outbound

This paper cites Objaverse++: Curated 3D Object Dataset with Quality Annotations.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Objaverse++: Curated 3D Object Dataset with Quality Annotations

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.521155Z

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Observation 4b1e83dd-5bb9-4be1-a556-b26f2b2eb825 · outbound

This paper cites Kiss3dgen: Repurposing image diffusion models for 3d asset generation.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Kiss3dgen: Repurposing image diffusion models for 3d asset generation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.384411Z

Source-reported events for the cited work

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Observation 6d3fd8a9-021a-48bf-a016-196e2d05a961 · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Zero-1-to-3: Zero-shot one image to 3d object

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.374770Z

Source-reported events for the cited work

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Observation 57671bae-21e7-4d06-ac69-bcadccea9287 · outbound

This paper cites Uncommon objects in 3d.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Uncommon objects in 3d

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.363331Z

Source-reported events for the cited work

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Observation 06297104-cd06-42d9-bd7d-e1a06b61ab23 · outbound

This paper cites Orientation matters: Making 3d generative models orientation-aligned.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Orientation matters: Making 3d generative models orientation-aligned

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.533584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 068be735-d772-42cb-9b09-7a8786d46ca6 · outbound

This paper cites Scalable 3d captioning with pretrained models.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Scalable 3d captioning with pretrained models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.353318Z

Source-reported events for the cited work

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Observation 4fd6106c-ab44-4a7b-b202-50eebb46bc4e · outbound

This paper cites IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.540672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7a635c1-9b25-4986-9264-c6ab6706f954 · outbound

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

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.544067Z

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Observation 68c2a97a-ea46-4811-a9be-7b9acc7eb3a7 · outbound

This paper cites Gpt-4 technical report, 2023.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Gpt-4 technical report, 2023

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.548134Z

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Observation 30e97978-bb67-4159-93ea-fb86f10062cf · outbound

This paper cites Openai-sora.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Openai-sora

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.337399Z

Source-reported events for the cited work

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Observation 4c2527ef-cc38-4efc-ad70-ff8fbcc94799 · outbound

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

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation DreamFusion: Text-to-3D using 2D Diffusion

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.554105Z

Source-reported events for the cited work

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This paper cites Improving language understanding by generative pre-training.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Improving language understanding by generative pre-training

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.557396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472030f9-055a-44b2-80a1-1fd0184db3c0 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.560555Z

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Observation 871b4c6f-c493-4906-a033-f64f1d81060d · outbound

This paper cites Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.563508Z

Source-reported events for the cited work

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Observation 70c8a25c-28ef-4056-8ef8-35b278d2d0ee · outbound

This paper cites Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.310568Z

Source-reported events for the cited work

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Observation 3f609a49-d823-455e-afb3-2716c9b87070 · outbound

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

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation High- resolution image synthesis with latent diffusion models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.570120Z

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Observation 351da0f7-503f-485e-8c73-6e984f5f1a3f · outbound

This paper cites Laion- 5b: An open large-scale dataset for training next generation image-text models.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Laion- 5b: An open large-scale dataset for training next generation image-text models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.573050Z

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Unavailable: canonical work link unavailable.

Observation 7a96b04b-eb18-431a-a158-6f5ffbf3a8e9 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.575950Z

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Observation 64f4bad2-df1b-4476-9751-a4f2260e6bc2 · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.579065Z

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Unavailable: canonical work link unavailable.

Observation b7d59c6b-e639-44f8-b18b-750f6f83a37f · outbound

This paper cites Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.582125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee4f77f1-eedc-47eb-b304-ce37991a084d · outbound

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

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation MVDream: Multi-view Diffusion for 3D Generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.585377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9652382-de4c-49bb-bc02-485c0500120e · outbound

This paper cites Lgm: Large multi-view gaussian model for high-resolution 3d content creation.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Lgm: Large multi-view gaussian model for high-resolution 3d content creation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.288855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41ea7506-0a8d-4a72-8eaa-8d8d530f60d0 · outbound

This paper cites Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.278939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b72c936c-abca-49f0-a910-a9fd905b1e37 · outbound

This paper cites Sv3d: Novel multi-view synthesis and 3d generation from a single image using latent video diffusion.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Sv3d: Novel multi-view synthesis and 3d generation from a single image using latent video diffusion

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.269035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 093cb559-b945-42fc-b056-fa5b197f6301 · outbound

This paper cites Nova-3d: Non-overlapped views for 3d anime character reconstruction.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Nova-3d: Non-overlapped views for 3d anime character reconstruction

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.258446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6959c736-ee2a-4365-8e89-c65c617e1f14 · outbound

This paper cites Pro- lificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Pro- lificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.601674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64471e07-d3fa-4c1a-b259-a5e039e1784a · outbound

This paper cites Exploring video quality assessment on user generated contents from aesthetic and technical perspectives.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Exploring video quality assessment on user generated contents from aesthetic and technical perspectives

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.243200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef461b07-f65d-4802-8c3e-5446b6d96f1c · outbound

This paper cites Genfusion: Closing the loop between reconstruction and generation via videos.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Genfusion: Closing the loop between reconstruction and generation via videos

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.233771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 26693e0f-d6b0-4c3d-bc0c-6d5cee6d95c3 · outbound

This paper cites Omniobject3d: Large-vocabulary 3d object dataset for realistic perception, reconstruction and generation.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Omniobject3d: Large-vocabulary 3d object dataset for realistic perception, reconstruction and generation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.223600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 455b0228-c763-4f03-8f8a-606d31342023 · outbound

This paper cites Structured 3d latents for scalable and versatile 3d generation.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Structured 3d latents for scalable and versatile 3d generation

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.613644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b792d6e1-8609-47a8-9a36-971bb6d5872d · outbound

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

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.616483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 785e4a25-fc60-4d4b-8cc4-21b1e0221b68 · outbound

This paper cites FlexGen: Flexible Multi-View Generation from Text and Image Inputs.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation FlexGen: Flexible Multi-View Generation from Text and Image Inputs

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:10:34.767528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f1081ed-3803-4694-8780-5070289dcb38 · outbound

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

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.623059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8dea98a-648f-4610-88d4-843f0babb429 · outbound

This paper cites Hi3d: Pursuing high-resolution image-to-3d generation with video diffusion models.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Hi3d: Pursuing high-resolution image-to-3d generation with video diffusion models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.207733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 81c6d741-5c9d-4bb7-bb68-6749f00d3e1a · outbound

This paper cites Tv-3dg: Mastering text-to-3d customized generation with visual prompt.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Tv-3dg: Mastering text-to-3d customized generation with visual prompt

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.197341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa02705c-da16-400b-a985-9d492efe3d51 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.633085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a210bbb-1e9b-4f63-97d0-625b52f6cb0c · outbound

This paper cites Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.186912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 586b033e-6dc0-4acf-9023-138fc11c1652 · outbound

This paper cites GaussianDreamerPro: Text to Manipulable 3D Gaussians with Highly Enhanced Quality.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation GaussianDreamerPro: Text to Manipulable 3D Gaussians with Highly Enhanced Quality

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.639509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c9b92d3-4e7b-43cc-87e8-b059b70070ac · outbound

This paper cites Mvimgnet: A large-scale dataset of multi-view images.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Mvimgnet: A large-scale dataset of multi-view images

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.177050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b4b69543-bd70-499e-abfc-27f0ed1cc7ce · outbound

This paper cites DropletVideo: A Dataset and Approach to Explore Integral Spatio-Temporal Consistent Video Generation.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation DropletVideo: A Dataset and Approach to Explore Integral Spatio-Temporal Consistent Video Generation

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:10:34.728196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5fb8b89d-8eb5-499e-b2e5-71b6ca52e8ca · outbound

This paper cites TexVerse: A Universe of 3D Objects with High-Resolution Textures.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation TexVerse: A Universe of 3D Objects with High-Resolution Textures

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.650803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 954546e9-d23e-49df-9040-aef1526cf96f · outbound

This paper cites Mmvu: Measuring expert-level multi-discipline video understanding.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Mmvu: Measuring expert-level multi-discipline video understanding

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.167469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d36a4827-8162-4144-b540-e1231c7ca298 · outbound

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

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.657279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43889be4-aa2e-41fb-a759-57cf84690865 · outbound

This paper cites Thingi10K: A Dataset of 10,000 3D-Printing Models.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Thingi10K: A Dataset of 10,000 3D-Printing Models

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:34.660555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1038a5d0-fd50-4711-811b-14545ba6f2b2 · outbound

This paper cites High-fidelity 3d textured shapes generation by sparse encoding and adversarial decoding.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation High-fidelity 3d textured shapes generation by sparse encoding and adversarial decoding

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.157582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c0da1c71-e5f0-444e-aac7-d6b1a7c0ecb6 · outbound

This paper cites Videomv: Consistent multi-view generation based on large video generative model.

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation Videomv: Consistent multi-view generation based on large video generative model

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:35.147888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 634c3c39-3fa9-430c-9b76-fe92a0b5a2eb · inbound

Animator-Centric Skeleton Generation on Objects with Fine-Grained Details cites this paper.

Animator-Centric Skeleton Generation on Objects with Fine-Grained Details Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:54:16.472675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0d5b7bb3-cdb4-416f-85e3-ffbda26acdbe · inbound

Global Pose Control for Generative View Synthesis in Normalized Object Coordinate Space cites this paper.

Global Pose Control for Generative View Synthesis in Normalized Object Coordinate Space Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-12T07:34:02.473153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.