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Paper Citation Record · LEDGER

GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 inbound Pith citation observations for arXiv:2310.08529.

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

pith.paper-citation-record.v1
2310.08529 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:23:38.050990Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:39:46.874797Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b2d24ce1-bc50-41ca-98d2-ba96655f01a4 · inbound

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

CAT3D: Create Anything in 3D with Multi-View Diffusion Models GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 26

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verified exact
arxiv_id, observed 2026-05-19T21:29:51.124627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T21:29:51.062396Z digest=sha256:4b85fdc06ea7b83b695bb7cb012ffd8e538476d5dd3f2079cca639effc8ad3ec

Observation 8fa65fad-5388-41a3-8aa0-92c384f61a7d · inbound

Efficient Density Control for 3D Gaussian Splatting cites this paper.

Efficient Density Control for 3D Gaussian Splatting GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 31

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no resolver link, observed 2026-08-12T20:00:28.583012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:00:28.583012Z digest=sha256:0b41564d097d777941407717da355bc09b26d6af58c06258b6d2e36293631790

Observation 5e36fc1c-715f-4b9e-8b44-980c05b60542 · inbound

DAGSM: Disentangled Avatar Generation with GS-enhanced Mesh cites this paper.

DAGSM: Disentangled Avatar Generation with GS-enhanced Mesh GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 81

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no resolver link, observed 2026-08-12T16:55:48.461308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:55:48.461308Z digest=sha256:1929fe96eebfffcb9444383eb9e49184219a0fbd46e3d7260b94130d731f1e08

Observation 30a93299-5f70-413a-9fd2-b92c14e85c01 · inbound

Graph Canvas for Controllable 3D Scene Generation cites this paper.

Graph Canvas for Controllable 3D Scene Generation GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 34

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no resolver link, observed 2026-08-12T11:23:29.190130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:23:29.190130Z digest=sha256:1138bc68142977956893bf583594944bda417ebd40b69bf4b99a819dcd79501b

Observation e2c36277-9d4d-48c7-9db1-1e11eb6e23d7 · inbound

Text-to-3D Generation by 2D Editing cites this paper.

Text-to-3D Generation by 2D Editing GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T20:16:25.640412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:16:25.640412Z digest=sha256:aacd55be1ca0475deb803bbd8c7cf7b65c68c676bcc34b54c75c162718204b31

Observation 24117852-2340-4ea3-8bd6-9df8971b5141 · inbound

You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale cites this paper.

You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 118

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no resolver link, observed 2026-08-11T19:26:14.400146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:26:14.400146Z digest=sha256:6e254f5a8444fe6db679f0df73e1fa1926baa851076f732ed62bb120aa55c882

Observation 57d9f63a-bca8-4210-80a4-85d7c11f283b · inbound

DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields cites this paper.

DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 37

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no resolver link, observed 2026-08-11T13:11:21.746866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:11:21.746866Z digest=sha256:2aa24d4a78a3da2feb0c7a8c20c64181703f46f68b45a93b94644cc937d34c7f

Observation 84daaf1d-267a-4901-bb16-f402e4edfa27 · inbound

PartGen: Part-level 3D Generation and Reconstruction with Multi-View Diffusion Models cites this paper.

PartGen: Part-level 3D Generation and Reconstruction with Multi-View Diffusion Models GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 97

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no resolver link, observed 2026-08-11T04:40:18.833497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:40:18.833497Z digest=sha256:02f65bbf3f9ea9aa721ec37472374cddce20f3404bfbf7e61ea7e3bffaf60bbf

Observation 9903b759-cba5-4138-861b-83e444419eb9 · inbound

ArtNVG: Content-Style Separated Artistic Neighboring-View Gaussian Stylization cites this paper.

ArtNVG: Content-Style Separated Artistic Neighboring-View Gaussian Stylization GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 50

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no resolver link, observed 2026-08-11T04:32:28.463390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:32:28.463390Z digest=sha256:90102bad3818660dc31f3586498ccda358479f2ed9ee6c9a096b1baf8926f476

Observation b9a8c57b-c9de-430b-bc6a-425ccf5439ca · inbound

OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies cites this paper.

OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T22:57:03.838399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:57:03.838399Z digest=sha256:bf181ae80e6fa85508d5afa8b1efdbb84058bd663d2b67054ab5830292eb3a87

Observation eaaccaba-424d-4c16-9fd8-74cc01ed5c8f · inbound

AR4D: Autoregressive 4D Generation from Monocular Videos cites this paper.

AR4D: Autoregressive 4D Generation from Monocular Videos GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 49

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no resolver link, observed 2026-08-10T22:25:55.479899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:25:55.479899Z digest=sha256:a9c8802b923d4a8f20913e2c2c616c0c31843be505720faaa9145f96d34ef4a4

Observation 93487491-3b6e-468f-b887-ba868ae93029 · inbound

STP4D: Spatio-Temporal-Prompt Consistent Modeling for Text-to-4D Gaussian Splatting cites this paper.

STP4D: Spatio-Temporal-Prompt Consistent Modeling for Text-to-4D Gaussian Splatting GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 6

Resolution
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no resolver link, observed 2026-08-16T10:23:38.050990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:23:38.050990Z digest=sha256:7b99737551fadff6da164bd9a8830b48cd38117be96e3f9be44520744d4f9c23

Observation 2388e97b-19c2-430b-9d19-ff0554e7ca85 · inbound

Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation cites this paper.

Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-16T10:18:15.772860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:18:15.772860Z digest=sha256:29710dfc4ec1a73f5f6ab2899f0cf4118d85132d241752a79a22126528e2bb79

Observation f2c6faa5-0610-4d1d-afea-47caa92ab913 · inbound

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting cites this paper.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:12.869934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:12.869934Z digest=sha256:75f2d6c89230629bd516ba4f07493f41a28d280d8cde9ec9d344499f86c56f9a

Observation ed61256e-1639-4b66-9a6e-639ba283764f · inbound

LEG-SLAM: Real-Time Language-Enhanced Gaussian Splatting for SLAM cites this paper.

LEG-SLAM: Real-Time Language-Enhanced Gaussian Splatting for SLAM GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T11:15:00.292658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:00.292658Z digest=sha256:b0eeedacc60859ee2dae4640be36dcaf782acab3c6566dd45b01f508c97d54a7

Observation 190d54b0-2116-4e0f-b27e-7f473249ab08 · inbound

VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction cites this paper.

VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T10:20:52.314290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:52.314290Z digest=sha256:281d75a785ecf4c4f2529d44b3d732aa0f30840a37efd5a0eea04f6cc203efd2

Observation e8607ff8-aa1b-4a79-94ae-a761a328952d · inbound

AnimateAnyMesh: A Feed-Forward 4D Foundation Model for Text-Driven Universal Mesh Animation cites this paper.

AnimateAnyMesh: A Feed-Forward 4D Foundation Model for Text-Driven Universal Mesh Animation GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 91

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no resolver link, observed 2026-08-07T04:41:33.388378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:41:33.388378Z digest=sha256:c8ae96b1bbd3c662d3bcc03412bbfb21be3214d2b182343e8dceeb9ec6bfb606

Observation 6f5f6206-82ad-497d-9415-0838b98362b1 · inbound

Controllable 3D Placement of Objects with Scene-Aware Diffusion Models cites this paper.

Controllable 3D Placement of Objects with Scene-Aware Diffusion Models GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T22:32:35.359784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:32:35.359784Z digest=sha256:1f39cfad48f2639f063a1ee7f205a3bb8d04389f997556071155704753bd4934

Observation b40f9ad5-aceb-4ab4-8da7-c243b412b24e · inbound

VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding cites this paper.

VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T22:03:03.261313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:03:03.261313Z digest=sha256:b84b4617009f8167f54d2a12c583414226541749ff01933cf882421369fe8b98

Observation 05aea156-2621-4c02-9314-ee2632ae8d6a · inbound

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation cites this paper.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:13.196996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:13.196996Z digest=sha256:a3ec6cc346aa80d83030742757f3901cc40a6d6b739807ee21cbe6c8440534df

Observation 665aba4c-e549-406f-96f5-47160fad18e8 · inbound

DreamScene: 3D Gaussian-based End-to-end Text-to-3D Scene Generation cites this paper.

DreamScene: 3D Gaussian-based End-to-end Text-to-3D Scene Generation GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T16:18:46.820386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:18:46.820386Z digest=sha256:6e7ce821a5e54417ddf3b42b9f4a68692a6018c9ddc45c1de69247959e3bb396

Observation 2cf9132e-2d11-46b1-ae4d-6eeda1c6ea02 · inbound

Cooperative Perception: A Resource-Efficient Framework for Multi-Drone 3D Scene Reconstruction Using Federated Diffusion and NeRF cites this paper.

Cooperative Perception: A Resource-Efficient Framework for Multi-Drone 3D Scene Reconstruction Using Federated Diffusion and NeRF GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 8

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no resolver link, observed 2026-08-06T06:04:13.392694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T06:04:13.392694Z digest=sha256:94513f976bc2b9195a4dccdae2aab7628e257471c284796d9823c990f18dedda

Observation f385edd4-5504-4c06-a826-f69f12cf3d4a · inbound

Can3Tok: Canonical 3D Tokenization and Latent Modeling of Scene-Level 3D Gaussians cites this paper.

Can3Tok: Canonical 3D Tokenization and Latent Modeling of Scene-Level 3D Gaussians GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 76

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no resolver link, observed 2026-08-06T05:40:03.787111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:40:03.787111Z digest=sha256:c4b2ff33f9fac8b870276821f7b1e8bae4a667b4a5b30a16f688375dd3ccb85b

Observation ba9fbf05-729e-40f7-9c9d-939f29e3a72f · inbound

4DVD: Cascaded Dense-view Video Diffusion Model for High-quality 4D Content Generation cites this paper.

4DVD: Cascaded Dense-view Video Diffusion Model for High-quality 4D Content Generation GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T00:02:34.589379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:02:34.589379Z digest=sha256:8e12206f3169797b733f3b3eed1647010f1706645c96c3e0ad97be1977af9fea

Observation 05fc779b-d278-494c-8b65-1e6d2e1fd4fd · inbound

CharacterShot: Controllable and Consistent 4D Character Animation cites this paper.

CharacterShot: Controllable and Consistent 4D Character Animation GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 90

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no resolver link, observed 2026-08-05T22:13:13.812212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:13:13.812212Z digest=sha256:50390575d85f3f911eb1781ac067eea2be94a774ae9e3367775ad535a855e50f

Observation f5f12a65-ca89-48a4-aba0-6f51358d402f · inbound

LL3M: Large Language 3D Modelers cites this paper.

LL3M: Large Language 3D Modelers GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 62

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no resolver link, observed 2026-08-05T21:39:14.602259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:39:14.602259Z digest=sha256:af6b8d5b924deb6ad4d7ca6cbe872359043484bacf808dc517d76e307b8b2ddd

Observation 9936fe16-fcfd-4953-bc55-a3841274925e · inbound

TeRA: Rethinking Text-guided Realistic 3D Avatar Generation cites this paper.

TeRA: Rethinking Text-guided Realistic 3D Avatar Generation GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 79

Resolution
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no resolver link, observed 2026-08-05T11:42:08.514241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:42:08.514241Z digest=sha256:9012a423daef92b3db22ffc746ad92c9c8bdf98e1c2cf4955f7d17979ff88419

Observation 9fbf054a-aad1-48dc-b2d6-f82da30a367b · inbound

Few-step Flow for 3D Generation via Marginal-Data Transport Distillation cites this paper.

Few-step Flow for 3D Generation via Marginal-Data Transport Distillation GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 86

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unresolved
no resolver link, observed 2026-08-05T10:19:33.884740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:19:33.884740Z digest=sha256:dcbcb9fa5d85109226208325d9b04f3b95d5f961441ad6fc746432c4d22901e9

Observation 214f3d7f-8edc-439e-95d9-b46545e13aa6 · inbound

DreamLifting: A Plug-in Module Lifting MV Diffusion Models for 3D Asset Generation cites this paper.

DreamLifting: A Plug-in Module Lifting MV Diffusion Models for 3D Asset Generation GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:31:44.238949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T18:30:11.391966Z digest=sha256:c8ecac094f6814b5ad9874467a17a5a4c64fe89b0071d617af46e54ce6fdfcb2

Observation 4fdbbd43-e0b9-44cc-835d-74bbedb630e7 · inbound

Splats in Splats++: Robust and Generalizable 3D Gaussian Splatting Steganography cites this paper.

Splats in Splats++: Robust and Generalizable 3D Gaussian Splatting Steganography GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:58:12.720666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T08:57:26.729439Z digest=sha256:b2aca8f6a6a4456efc2c24435fd7aa2d943171f008986d1fb1cf3cc3bd394ab9

Observation c2c4c40b-f480-4ffa-a4e2-16594bba4921 · inbound

AnimateAnyMesh++: A Flexible 4D Foundation Model for High-Fidelity Text-Driven Mesh Animation cites this paper.

AnimateAnyMesh++: A Flexible 4D Foundation Model for High-Fidelity Text-Driven Mesh Animation GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:26:26.421612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-07T10:50:24.047575Z digest=sha256:079eba24ab6c1a8b4927d05507494fc804f3c9a86f337f5551e13d5d3b9d4e9f

Observation 3a657a75-e906-4750-93b9-31bf51458872 · inbound

R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow cites this paper.

R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 162

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T19:09:23.671679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-14T19:07:53.671769Z digest=sha256:20dda37271866d949d5515901e5a10c16690336877afafa816be486ffaec0e65

Observation def179ef-322d-45ea-9a19-4cfd3d10a59f · inbound

R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow cites this paper.

R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 162

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T06:09:49.625406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-15T06:08:52.321351Z digest=sha256:7e74f2e8594b7a91de309d623f842a4a941b30d98e3bb27d6bcb1db380742d7c

Observation 9c2d69f8-f3db-4a4d-8ad2-a68d2237a6c9 · inbound

STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models cites this paper.

STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T07:06:43.702136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T07:14:26.441339Z digest=sha256:483e96786c9396c4b2746172cf18d832a8237446ac4e4a565389e3936ccd0b42

Observation e5664f11-896a-49e9-a197-44630138f7fa · inbound

Policy-as-Data: Learning Generalizable HOI Diffusion Models from Simulated Physics cites this paper.

Policy-as-Data: Learning Generalizable HOI Diffusion Models from Simulated Physics GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 67

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:39:46.876097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T09:40:37.183422Z digest=sha256:fdf0bbeab7eba7572b7e9a4247d1068d6f98afe8f323ab937bc1d8884dd7e637

Observation 7a994fae-b8c0-420e-91ac-b67dc6420ae9 · inbound

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

PixGS: Pixel-Space Diffusion for Direct 3D Gaussian Splat Generation GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:18:37.395041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-03T16:13:41.928049Z digest=sha256:79f67e4dbf95b116076d6eea23389c065fb0dd16610fa0d032a115a713a0c637

Observation bffb4309-4475-414a-b068-948d4d264717 · inbound

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

PixGS: Pixel-Space Diffusion for Direct 3D Gaussian Splat Generation GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 55

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T08:36:06.846852Z digest=sha256:5a7d47ad921e774c8b89a7f6b93846a2aa94a45c0c928fe6454125bf8b1708dd