Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-09T22:28:54.031663Z
Paper Citation Record · LEDGER
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers
As of 5 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 2 inbound Pith citation observations for arXiv:2604.21592.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T22:17:54.684366Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-01T22:46:19.626989Z
Reference resolution
75 of 75 outbound references displayed
- verified exact13
- verified fuzzy56
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1a9c03a9-de32-4704-9ae7-8a5024099a72 · outbound
This paper cites 4d-fy: Text-to-4d generation using hybrid score distillation sampling.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers 4d-fy: Text-to-4d generation using hybrid score distillation sampling
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.010571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 05be9940-dd7a-4ade-8f99-657f0f99313d · outbound
This paper cites Longformer: The Long-Document Transformer.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Longformer: The Long-Document Transformer
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:29:59.004618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b88ee785-532f-4a11-858c-a8b55072d6a3 · outbound
This paper cites Large-vocabulary 3d diffusion model with transformer.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Large-vocabulary 3d diffusion model with transformer
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.022084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6a79c2a1-a5e2-464b-b450-82bec7e2a3e6 · outbound
This paper cites Efficient geometry-aware 3d generative adversarial networks.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Efficient geometry-aware 3d generative adversarial networks
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.038497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0e7d51c5-6f0a-4eed-bbd3-3f22bc763dd5 · outbound
This paper cites V2M4: 4D Mesh Animation Reconstruction from a Single Monocular Video.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers V2M4: 4D Mesh Animation Reconstruction from a Single Monocular Video
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T22:29:06.498923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0a0275ae-e822-4c3f-ad3c-380618518794 · outbound
This paper cites Primdiffusion: V olumetric prim- itives diffusion for 3d human generation.NeurIPS.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Primdiffusion: V olumetric prim- itives diffusion for 3d human generation.NeurIPS
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.003139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e1616b55-7ee5-4b26-83de-d34d267ee380 · outbound
This paper cites Objaverse-xl: A universe of 10m+ 3d objects.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Objaverse-xl: A universe of 10m+ 3d objects
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.006676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2a1bcfe0-7686-4e0a-a9f8-6c9d58fa1848 · outbound
This paper cites Objaverse: A universe of annotated 3d objects.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Objaverse: A universe of annotated 3d objects
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:08.986501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c37bcf65-c4a8-4359-bfac-c11e8ef3fbfe · outbound
This paper cites Gram: Generative radiance manifolds for 3d-aware image generation.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Gram: Generative radiance manifolds for 3d-aware image generation
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:08.990582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fd28acea-d279-41a7-98df-cbfb3fc68088 · outbound
This paper cites Get3d: A generative model of high quality 3d textured shapes learned from images.NeurIPS.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Get3d: A generative model of high quality 3d textured shapes learned from images.NeurIPS
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:08.982227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation caa4f823-3112-4b02-bd3a-b53799fb11a0 · outbound
This paper cites Block Sparse Attention.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Block Sparse Attention
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:08.978232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8a16e237-410a-4840-b38b-5bc39943fe92 · outbound
This paper cites Gvgen: Text-to-3d generation with volumetric representation.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Gvgen: Text-to-3d generation with volumetric representation
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:08.998972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fd289ebf-7eb5-4d63-977c-b65226a33878 · outbound
This paper cites Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T23:10:17.882063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ac388096-8795-4646-ae4c-d69529ef01d2 · outbound
This paper cites Consistent4d: Consistent 360° dynamic object generation from monocular video.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Consistent4d: Consistent 360° dynamic object generation from monocular video
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.026457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2eaaa75f-c3db-42b5-841e-21f28f286334 · outbound
This paper cites Animate3d: Animating any 3d model with multi-view video diffusion.NeurIPS.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Animate3d: Animating any 3d model with multi-view video diffusion.NeurIPS
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:08.958581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 36e82a81-54c6-4ca8-99fe-8cd5df8ca430 · outbound
This paper cites Shap-E: Generating Conditional 3D Implicit Functions.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Shap-E: Generating Conditional 3D Implicit Functions
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T15:32:06.918889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1e741e5f-d4f9-4b51-a0c1-0dde0c191040 · outbound
This paper cites Vivid-zoo: Multi-view video generation with diffusion model.NeurIPS.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Vivid-zoo: Multi-view video generation with diffusion model.NeurIPS
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:08.950761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ece02cc2-948d-44cc-a5b3-23210f8593dc · outbound
This paper cites Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T22:29:06.491384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 36829506-e601-472a-842f-7cdbe41e23cf · outbound
This paper cites Radial attention:O(nlogn)sparse attention with energy decay for long video generation.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Radial attention:O(nlogn)sparse attention with energy decay for long video generation
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T22:29:06.493915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 79843fc1-edfb-4a74-9ab9-272344480baf · outbound
This paper cites Dreammesh4d: Video-to-4d generation with sparse-controlled gaussian-mesh hybrid representation.NeurIPS.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Dreammesh4d: Video-to-4d generation with sparse-controlled gaussian-mesh hybrid representation.NeurIPS
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:08.954804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f1950b08-db26-4f8f-b977-c9276fe69685 · outbound
This paper cites Diffusion4d: fast spatial-temporal consistent 4d generation via video diffusion models.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Diffusion4d: fast spatial-temporal consistent 4d generation via video diffusion models
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:08.962564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 795769c6-8a6e-4378-82d4-0829d7d27038 · outbound
This paper cites Align your gaussians: Text-to-4d with dynamic 3d gaussians and composed diffusion models.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Align your gaussians: Text-to-4d with dynamic 3d gaussians and composed diffusion models
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:08.966422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 02e31aae-1dd3-4430-b181-98acd9423fed · outbound
This paper cites Diffrf: Rendering-guided 3d radiance field diffusion.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Diffrf: Rendering-guided 3d radiance field diffusion
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:08.994775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 83637fd5-d1b6-457f-ad18-5b48116419c8 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers DINOv2: Learning Robust Visual Features without Supervision
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-09T22:29:06.474421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0b18cbdf-0f9d-4fce-a132-7f703d7b454c · outbound
This paper cites Scalable diffusion models with transformers.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Scalable diffusion models with transformers
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.046814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3bee3593-73f6-4b50-b422-255dbb448e5d · outbound
This paper cites A benchmark dataset and evaluation methodology for video object segmentation.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers A benchmark dataset and evaluation methodology for video object segmentation
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.014139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 95a986c3-fcd3-4b5c-93dc-2173c94e0d8f · outbound
This paper cites Dreamfusion: Text-to-3d using 2d diffusion.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Dreamfusion: Text-to-3d using 2d diffusion
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.182805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4db74d71-688e-4a47-adee-27d712d6fc90 · outbound
This paper cites DreamGaussian4D: Generative 4D Gaussian Splatting.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers DreamGaussian4D: Generative 4D Gaussian Splatting
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T22:29:06.479482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7b364857-1387-4bdb-b485-9f7b300f1b35 · outbound
This paper cites L4gm: large 4d gaussian reconstruction model.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers L4gm: large 4d gaussian reconstruction model
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.186877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ad067149-2860-47dd-bf5d-e8bbd9ea9027 · outbound
This paper cites Outra- 9 geously large neural networks: The sparsely-gated mixture- of-experts layer.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Outra- 9 geously large neural networks: The sparsely-gated mixture- of-experts layer
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.165872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7d56ff4a-f6d2-41ee-829a-aacc13c928dd · outbound
This paper cites 3d neural field generation using triplane diffusion.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers 3d neural field generation using triplane diffusion
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.170299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d51a0441-1988-4ba3-a8e1-2233914b122b · outbound
This paper cites Text-to-4d dy- namic scene generation.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Text-to-4d dy- namic scene generation
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.178825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5554cbb1-d606-4db9-8a90-42807cf0f414 · outbound
This paper cites 3d generation on imagenet.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers 3d generation on imagenet
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.174462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation de5c5410-adcb-410c-9753-da0a4fd50d32 · outbound
This paper cites As-rigid-as-possible surface modeling.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers As-rigid-as-possible surface modeling
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.195224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 24d77e9f-cf85-474b-b1e4-cf3df2adc18f · outbound
This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.149278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ec3c2ff7-5dec-4103-8a9e-85b1f0d05c0b · outbound
This paper cites Eg4d: Explicit generation of 4d object without score distillation.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Eg4d: Explicit generation of 4d object without score distillation
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.153594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2f834d82-383e-451b-bdc8-b69a3a4d597a · outbound
This paper cites DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T22:29:06.506297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b62cf4f9-aad8-40e9-b4ee-60e3d20b8e5b · outbound
This paper cites VolumeDiffusion: Flexible Text-to-3D Generation with Efficient Volumetric Encoder.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers VolumeDiffusion: Flexible Text-to-3D Generation with Efficient Volumetric Encoder
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T22:29:06.508952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 32edf1e1-ac8a-4cf4-9b66-86bb2e0dad39 · outbound
This paper cites 4real-video: Learning generalizable photo-realistic 4d video diffusion.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers 4real-video: Learning generalizable photo-realistic 4d video diffusion
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.091770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b83176b9-5928-4787-9524-81381c965af5 · outbound
This paper cites Rodin: A generative model for sculpting 3d digital avatars using diffusion.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Rodin: A generative model for sculpting 3d digital avatars using diffusion
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.078958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7417113e-3784-4f1a-b514-9d7cf36ef60a · outbound
This paper cites Learning a probabilistic latent space of ob- ject shapes via 3d generative-adversarial modeling.NeurIPS.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Learning a probabilistic latent space of ob- ject shapes via 3d generative-adversarial modeling.NeurIPS
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.087778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eef797d8-da00-498e-8059-19b0bcd3425a · outbound
This paper cites Cat4d: Create anything in 4d with multi-view video diffusion models.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Cat4d: Create anything in 4d with multi-view video diffusion models
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.103627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b0351189-abaa-4efe-9733-2366447ac99d · outbound
This paper cites Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T22:29:06.503766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9818e501-0566-4821-9793-fa32c062831d · outbound
This paper cites Gram-hd: 3d-consistent image generation at high resolution with generative radiance manifolds.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Gram-hd: 3d-consistent image generation at high resolution with generative radiance manifolds
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.061892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d411ee83-f623-47ee-a2c8-b06f5be24032 · outbound
This paper cites Structured 3d latents for scalable and versatile 3d generation.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Structured 3d latents for scalable and versatile 3d generation
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.083376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 24341886-2f3f-4f95-98b5-b44d713904bd · outbound
This paper cites Efficient streaming language models with attention sinks.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Efficient streaming language models with attention sinks
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.140271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2b4f1fe3-02a8-41a1-941b-efd8448c2758 · outbound
This paper cites Sv4d: Dynamic 3d content generation with multi-frame and multi-view consistency.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Sv4d: Dynamic 3d content generation with multi-frame and multi-view consistency
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.034227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 97092edd-fe69-4c11-997c-fd61fa0bedc9 · outbound
This paper cites Diffusion2: Dynamic 3d content generation via score composition of video and multi-view diffusion models.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Diffusion2: Dynamic 3d content generation via score composition of video and multi-view diffusion models
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.053072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c6683a90-e4f3-44f0-b502-fe576366d7dc · outbound
This paper cites Mosaic-sdf for 3d generative models.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Mosaic-sdf for 3d generative models
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.042560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7d4c439b-a01d-41fd-920f-9dcb4e5d1d8c · outbound
This paper cites Yenphraphai, A.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Yenphraphai, A
Reference 50
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-09T22:29:06.501306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d61acb43-0581-435f-adc6-c5844815a1ed · outbound
This paper cites Splat4d: Diffusion-enhanced 4d gaussian splatting for tempo- rally and spatially consistent content creation.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Splat4d: Diffusion-enhanced 4d gaussian splatting for tempo- rally and spatially consistent content creation
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.070649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c570b505-5558-4ab7-a0e7-5f301ddfdbf9 · outbound
This paper cites 4real: Towards photorealistic 4d scene generation via video diffusion models.NeurIPS.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers 4real: Towards photorealistic 4d scene generation via video diffusion models.NeurIPS
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.057517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 99391918-d9d0-4cda-9836-3925d4a6ddee · outbound
This paper cites Native sparse attention: Hardware- aligned and natively trainable sparse attention.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Native sparse attention: Hardware- aligned and natively trainable sparse attention
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.066217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6e5a1d47-24b1-4661-a570-7b0e398c6a1f · outbound
This paper cites Gavatar: Animatable 3d gaussian avatars with implicit mesh learning.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Gavatar: Animatable 3d gaussian avatars with implicit mesh learning
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.095629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b90169dc-89cf-4027-8ee0-e5be788c2086 · outbound
This paper cites Big bird: Trans- formers for longer sequences.NeurIPS.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Big bird: Trans- formers for longer sequences.NeurIPS
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.144246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 052a9e22-8ffa-4c79-956e-ea4ee5005484 · outbound
This paper cites Stag4d: Spatial-temporal anchored generative 4d gaussians.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Stag4d: Spatial-temporal anchored generative 4d gaussians
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.018149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b19cafb0-9a9d-483a-a55a-01dce1924f04 · outbound
This paper cites Root mean square layer normalization.NeurIPS.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Root mean square layer normalization.NeurIPS
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.157447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 87f3dac5-f5eb-434a-a8ce-17a9a0c36572 · outbound
This paper cites 3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models.TOG.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers 3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models.TOG
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.119354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 98e39c65-d0e0-460d-82f4-4ab8a834d49d · outbound
This paper cites Rodinhd: High-fidelity 3d avatar generation with diffusion models.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Rodinhd: High-fidelity 3d avatar generation with diffusion models
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.115098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2c333455-f124-4d9a-a0cd-84d929d261b3 · outbound
This paper cites Gaussiancube: a structured and explicit radiance representa- tion for 3d generative modeling.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Gaussiancube: a structured and explicit radiance representa- tion for 3d generative modeling
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.123336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 30f85311-31cf-49b2-9e00-944f9f3cd137 · outbound
This paper cites Gaussian variation field diffusion for high-fidelity video-to-4d synthesis.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Gaussian variation field diffusion for high-fidelity video-to-4d synthesis
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.128194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d4389269-b0e4-4940-af16-4047ccc618bf · outbound
This paper cites 4diffusion: Multi-view video diffusion model for 4d generation.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers 4diffusion: Multi-view video diffusion model for 4d generation
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.111352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3a9af39c-0e45-4eb9-ab95-13557355d6ac · outbound
This paper cites Lvmin Zhang, Shengqu Cai, Muyang Li, Chong Zeng, Beijia Lu, Anyi Rao, Song Han, Gordon Wetzstein, and Maneesh Agrawala.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Lvmin Zhang, Shengqu Cai, Muyang Li, Chong Zeng, Beijia Lu, Anyi Rao, Song Han, Gordon Wetzstein, and Maneesh Agrawala
Reference 63
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-09T22:29:06.476812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a1bb5402-1bc1-4ef1-a76f-5eb03491bcbf · outbound
This paper cites Animate124: Animating One Image to 4D Dynamic Scene.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Animate124: Animating One Image to 4D Dynamic Scene
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T22:29:06.482881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3530b4b9-2938-410f-bf29-734dc01f29ed · outbound
This paper cites Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T22:29:06.486150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5ea43394-890a-4f88-be0a-5bbf6929538f · outbound
This paper cites Sdf-stylegan: implicit sdf-based stylegan for 3d shape gener- ation.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Sdf-stylegan: implicit sdf-based stylegan for 3d shape gener- ation
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.132478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e0a6fa10-324a-466b-8786-6ff38717a6ac · outbound
This paper cites A unified approach for text- and image-guided 4d scene generation.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers A unified approach for text- and image-guided 4d scene generation
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.161437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9d956599-9a23-4f79-a4aa-c9378603abea · outbound
This paper cites Vi- sual object networks: Image generation with disentangled 3d representations.NeurIPS.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Vi- sual object networks: Image generation with disentangled 3d representations.NeurIPS
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.190920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bb4207af-d1a6-45cf-9420-3ed3877a5684 · outbound
This paper cites an unresolved cited work.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Unresolved cited work
Reference 69
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T14:33:09.136424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 207412f6-1015-4b39-ab9c-a89239884a3e · outbound
This paper cites Conditioning is provided via cross-attention to visual context embeddings with a dimensionality of 1,370.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Conditioning is provided via cross-attention to visual context embeddings with a dimensionality of 1,370
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.074832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 155fd645-c9de-4196-bf63-cd0dcbfe6ce8 · outbound
This paper cites First-Frame Anchor.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers First-Frame Anchor
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:09.099608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 20119851-1cdc-45ef-959f-738fa720e691 · outbound
This paper cites an unresolved cited work.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Unresolved cited work
Reference 72
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T14:33:09.107295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cf7bd39b-4875-4231-9277-8b8c9de87f19 · outbound
This paper cites an unresolved cited work.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Unresolved cited work
Reference 73
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T14:33:09.030160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bff01b7a-8a6a-4dce-bc59-f766171293cb · outbound
This paper cites an unresolved cited work.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers Unresolved cited work
Reference 74
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T14:33:08.970507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8a756494-483f-4b81-93ad-79d95f3d02bc · outbound
This paper cites A2 and Fig.
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers A2 and Fig
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T14:33:08.974398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation d7c6f7cb-c77f-4bd7-b019-60444535996e · inbound
Helix4D: Complex 4D Mesh Generation cites this paper.
Helix4D: Complex 4D Mesh Generation Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T22:24:00.581508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6d1d35bd-a4c8-4e7b-8588-c1a836131277 · inbound
MORPHOS: Autoregressive 4D Generation with Temporal Structured Latents cites this paper.
MORPHOS: Autoregressive 4D Generation with Temporal Structured Latents Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T22:46:19.628676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.