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Paper Citation Record · LEDGER

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation

As of 12 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 7 inbound Pith citation observations for arXiv:2501.16764.

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

pith.paper-citation-record.v1
2501.16764 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:56:31.024109Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:10:50.176944Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:18:37.491258Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact2
  • verified fuzzy7
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8597a149-3ce6-4024-a297-294a1ec2cc06 · outbound

This paper cites 3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation 3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T10:56:30.915402Z digest=sha256:5035b99c65e6df851d62b439af20a9bc64db1c7b1ebe1cb9f6fdbb97aa6318da

Observation cc90c9bc-09d3-4cc2-9f87-06648c748c01 · outbound

This paper cites Geowizard: Unleashing the diffusion priors for 3d geometry estimation from a single image.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Geowizard: Unleashing the diffusion priors for 3d geometry estimation from a single image

Reference 3

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raw_fallback, observed 2026-08-10T10:56:33.232728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T10:56:30.920361Z digest=sha256:f3ff6c0be8ea291f13f798b19023e10ac80896cf69c440dd3b7e6c7d51e91fa3

Observation 0e61a512-9c5d-48db-b995-acd0aeb50426 · outbound

This paper cites Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers

Reference 4

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T10:56:30.925033Z digest=sha256:fd88a8510e32d1759c96118bb6467bcdb1fbfc9c222e50bcf5a24b4d2f14e495

Observation 184cc3e4-f9d9-4145-9ba7-e7865187b7c2 · outbound

This paper cites T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation

Reference 5

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no resolver link, observed 2026-08-10T10:56:30.929705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T10:56:30.929705Z digest=sha256:9ad8705f2fa6b832ff2d4f5d8cefe499a748d628bdaaaa843c12b4728ae4dc3b

Observation 592c716c-01dc-426d-9012-34ddb7accbdc · outbound

This paper cites Classifier-free diffusion guidance.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Classifier-free diffusion guidance

Reference 7

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raw_fallback, observed 2026-08-10T10:56:33.217734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T10:56:30.938935Z digest=sha256:8eb2ee7266819508073ed432e9043375530b831b2ad0ecace86fd9f9a9fc6062

Observation a7da5c0c-b8ac-400e-ab3a-5baa9bb6212a · outbound

This paper cites CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner

Reference 10

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T10:56:30.952973Z digest=sha256:ec44d0b9e3147fe27343d0972117e3a63e4e5c51f2ba21ba0c35c3cbacc255e9

Observation a23050ea-3068-461d-b323-ea500f58f132 · outbound

This paper cites View selection for 3d captioning via diffusion rank- ing.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation View selection for 3d captioning via diffusion rank- ing

Reference 12

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arxiv_id, observed 2026-08-10T10:56:32.947824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T10:56:30.962871Z digest=sha256:e76b499cacc106dff84f3015657aad61bbebc21018cff4b277b49b363a01d161

Observation ce77d741-6b92-4614-956b-802625d49e61 · outbound

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

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Reference 13

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source=pdf_text observed=2026-08-10T10:56:30.967264Z digest=sha256:08c2df43504cabb6b63de4741c89f5cece2eed6254d7542605c3e3a62425d871

Observation 0753da65-40d5-459b-b940-0d1e26af658b · outbound

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

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T10:56:30.976381Z digest=sha256:711551654e981d98bed05ce1f592f5af599283d4c6d5b638326b05362d423725

Observation 524dc8bd-2fcf-4367-8051-20d3aa8f6eff · outbound

This paper cites LDM3D: Latent Diffusion Model for 3D.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation LDM3D: Latent Diffusion Model for 3D

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T10:56:30.980753Z digest=sha256:e9bf861fc16b3b4bccc5694ad9beff11d24f85ab81e1b2fb357232e0995fb7d7

Observation de8de45b-efb0-4794-9e7f-dbb2a3445eff · outbound

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

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation TripoSR: Fast 3D Object Reconstruction from a Single Image

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T10:56:30.985773Z digest=sha256:3823d14000abc98a8f26a633401c02c886d9a85b916bc5a304b92520c282f164

Observation da9ca088-24ae-4ac6-82fc-8827e31b8245 · outbound

This paper cites ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation

Reference 18

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T10:56:30.990270Z digest=sha256:3783cf0ae0e14883f2901ea6fc987e20a05c1c72e4b7f2a74048b2edc3fb95a0

Observation a7755d62-acc6-44c3-8c04-3e511d68f490 · outbound

This paper cites MeshLRM: Large Reconstruction Model for High-Quality Meshes.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation MeshLRM: Large Reconstruction Model for High-Quality Meshes

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T10:56:30.995768Z digest=sha256:8fc5e838e9a33f06f7c65d15cfd42c6281603652b899eca3a8b3dcef62761727

Observation c3a8ccf4-20ae-40ac-9bb9-7814212fe1eb · outbound

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

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T10:56:31.001082Z digest=sha256:9e310857651ef68fd48e43923bbdf092d3b0bfd8c2e1304244d931881291c4cc

Observation 025580a7-d4b0-46e4-bcb0-21b99ecbf0fd · outbound

This paper cites Our code and models are publicly available at https: //chenguolin.github.io/projects/DiffSplat.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Our code and models are publicly available at https: //chenguolin.github.io/projects/DiffSplat

Reference 21

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raw_fallback, observed 2026-08-10T10:56:33.168386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T10:56:31.005789Z digest=sha256:f1f72f502dd54339316e8bd0c140cd0780719b7ff7e1a6c6eaca1008a7be3417

Observation 00c63f4a-400f-4f81-86f1-9ff7bc51fb79 · outbound

This paper cites In the image-conditioned generation, all models are fine-tuned to predict velocity (Salimans & Ho, 2022; Shi et al., 2023), and their guidance scales are all set to.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation In the image-conditioned generation, all models are fine-tuned to predict velocity (Salimans & Ho, 2022; Shi et al., 2023), and their guidance scales are all set to

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T10:56:31.019524Z digest=sha256:3166423d59f0e442c7203e665c53709311a5cce20ece475ab7cef8e610fd7e38

Observation 48f4248e-37f3-424a-afac-f64d035479ff · outbound

This paper cites an unresolved cited work.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Unresolved cited work

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T10:56:31.024109Z digest=sha256:a599c77c31eba32889bdec78c460fa74f4e7ddf34db61bb2170b9e204d5f95ad

Observation 84fbe932-d01d-4cfa-91d8-a3b9345956ab · outbound

This paper cites an unresolved cited work.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Unresolved cited work

Reference 2016

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T10:56:31.014934Z digest=sha256:0e8da5445bf411b58f95edb1fb997e39d4effe770ada39a4d277a36619ce712b

Observation 2caac6ff-dba0-416f-b005-870ade9501e5 · outbound

This paper cites smin and smax are set to 5e-4 and 2e-2 respectively to repre- sent fine-grain details.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation smin and smax are set to 5e-4 and 2e-2 respectively to repre- sent fine-grain details

Reference 2017

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raw_fallback, observed 2026-08-10T10:56:33.150936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T10:56:31.010239Z digest=sha256:5f4ee7ded5db58284d4b00647993fe5a38e3aa4588561725f8b64ebf08b39a0a

Observation fd8c58f3-4905-492e-9efb-bc4313a6aced · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 2018

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T10:56:30.957909Z digest=sha256:8e3465898e2017f40deedde8cf0c2d34efc5380730f915ff37822633336b0cb3

Observation 9c8269f3-910b-4551-bc05-fc0939b50afd · outbound

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

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation 3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors

Reference 2020

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no resolver link, observed 2026-08-10T10:56:30.942888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T10:56:30.942888Z digest=sha256:22bda7ae6c838d900bd9e7d62c935794d363e0392fb88c49455732eebc3b5300

Observation 7dc471ec-3a05-426e-a4b2-eece50b7ee67 · outbound

This paper cites Flexible isosurface extraction for gradient- based mesh optimization.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Flexible isosurface extraction for gradient- based mesh optimization

Reference 2021

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verified fuzzy
raw_fallback, observed 2026-08-10T10:56:33.184984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T10:56:30.971998Z digest=sha256:dc0972d6554528b7c54245a6397246d920fa8e806f31dd0e9a5461c0e6d80d44

Observation e4cccade-c23f-48c3-9c06-21eafef8977a · outbound

This paper cites Repurposing diffusion-based image generators for monocular depth estimation.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Repurposing diffusion-based image generators for monocular depth estimation

Reference 2022

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verified fuzzy
raw_fallback, observed 2026-08-10T10:56:33.200817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T10:56:30.948041Z digest=sha256:3d915424652d68f4fb286cd1b6d5a8e2f9ee64fec0e25feff2f5def9ceafa5fa

Observation 494d13b3-e6e6-49f1-828f-2369d9defaa2 · outbound

This paper cites Sampling 3D Gaussian Scenes in Seconds with Latent Diffusion Models.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Sampling 3D Gaussian Scenes in Seconds with Latent Diffusion Models

Reference 2023

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local_arxiv, observed 2026-08-10T10:56:33.019083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T10:56:30.934126Z digest=sha256:4b5eb5b894b429f4c1aa5923a30cafcdc582a8f5cd334914ee4a08176c1dccb3

Observation e1107c0c-bf21-4830-a7c4-03c7d4e8bea7 · outbound

This paper cites SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement.

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement

Reference 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T10:56:30.909610Z digest=sha256:8bb4bf574440fa72717dc44b2c7825dc764dac10f5deb967244555e42f248d52

Pith citing papers

Observation d34d723b-e09e-4dce-9fa4-2b58a08feb27 · 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 DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation

Reference 57

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verified exact
arxiv_id, observed 2026-05-18T18:31:44.230438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T18:30:11.391966Z digest=sha256:24f800765c84a34cae1502882a4e3787ba727711a4c858e55ac7511762b5021d

Observation f1792f48-cce1-41bc-ab46-0efde3156d27 · inbound

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models cites this paper.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation

Reference 44

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arxiv_id, observed 2026-05-18T02:00:39.563943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:1ec9b1be77b9b2d15d5bb568d066ff670e2efd2d414227e7b57f846ebd90a2d8

Observation c1af65c6-210c-4e12-8a12-2343c45eaaa3 · inbound

GS-Playground: A High-Throughput Photorealistic Simulator for Vision-Informed Robot Learning cites this paper.

GS-Playground: A High-Throughput Photorealistic Simulator for Vision-Informed Robot Learning DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation

Reference 31

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arxiv_id, observed 2026-05-11T23:51:17.188387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T16:12:45.211236Z digest=sha256:9de08ac147c5f8476768e76848a1f03fa5d63428bdf3a5a23e5d57fae65d18a9

Observation 0134791d-9f88-4935-a7cd-087c33a73568 · inbound

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

PixGS: Pixel-Space Diffusion for Direct 3D Gaussian Splat Generation DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation

Reference 21

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arxiv_id, observed 2026-07-03T16:18:37.492696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-03T16:13:41.928049Z digest=sha256:c39c2b33e7a4170be068875921839638eabbd6c0e463912177ab2e9459eca1e7

Observation f1441b38-e44a-42d4-9161-51f9bb56231f · inbound

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

PixGS: Pixel-Space Diffusion for Direct 3D Gaussian Splat Generation DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T08:36:06.846852Z digest=sha256:b7da83f8bf97118730a317cb98284b1db3370ef4ac7ca8be257108cac529ca5c

Observation d48ac6d7-06c2-4304-b8bb-40d4559bc754 · inbound

GenSplatCodec: Feed-Forward Gaussian Splatting Compression via One-Step Diffusion cites this paper.

GenSplatCodec: Feed-Forward Gaussian Splatting Compression via One-Step Diffusion DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation

Reference 31

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no resolver link, observed 2026-07-31T15:51:32.160473Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:51:32.160473Z digest=sha256:f76e3b8093cbbba8f569b5928301e67ad0a7ba6b23d3525f33be81483d6cd9ca

Observation 163aa226-bdcc-4796-9121-1dd7ea187909 · inbound

GaussianSelector: Lightweight Human-Guided Object Selection in 3D Gaussian Splatting with Graph Optimization cites this paper.

GaussianSelector: Lightweight Human-Guided Object Selection in 3D Gaussian Splatting with Graph Optimization DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation

Reference 12

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no resolver link, observed 2026-08-06T00:10:50.176944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:10:50.176944Z digest=sha256:0120c6bc38e8c4d5026697d99ea44accdb42b36ed503a703c805b9dd2d78cc41