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Paper Citation Record · LEDGER

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting

As of 14 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 4 inbound Pith citation observations for arXiv:2501.15619.

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

pith.paper-citation-record.v1
2501.15619 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:09:40.631917Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:07:36.319431Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T11:40:19.481682Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved22
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation a7c8c0db-dc48-43c5-8b99-1091c94913d6 · outbound

This paper cites GPT-4 Technical Report.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-10T14:09:40.227909Z digest=sha256:430235565d38bd67377c522c485c9861f4b473948422a6565f5017cfcdc06cb9

Observation 4dba5576-e5c9-4004-842a-a2ba9a367088 · outbound

This paper cites Sequential modeling enables scalable learn- ing for large vision models.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Sequential modeling enables scalable learn- ing for large vision models

Reference 2

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

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Observation 34594b22-a5af-4ff6-8b3f-0b97d9400cf5 · outbound

This paper cites Maskgit: Masked generative image transformer.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Maskgit: Masked generative image transformer

Reference 3

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Observation e5d99b92-6141-442f-83c8-5ebca38872a3 · outbound

This paper cites Gaussianpro: 3d gaussian splatting with progressive propagation.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Gaussianpro: 3d gaussian splatting with progressive propagation

Reference 4

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

source=pdf_text observed=2026-08-10T14:09:40.258564Z digest=sha256:825772cda2cde6d6632fb12d7d8b370105c573763f78013b16401cd52bf1074f

Observation 991cecbb-dedd-40bd-9c0c-ff69ecf3612f · outbound

This paper cites Twins: Revisiting the design of spatial attention in vision transformers.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Twins: Revisiting the design of spatial attention in vision transformers

Reference 5

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source=pdf_text observed=2026-08-10T14:09:40.268344Z digest=sha256:3d87f9fd5c18b81a7678133a68c3f3cc0ebb37098f3cf216eaa70d244dfa0ca6

Observation 2d111416-2900-4108-ba8c-b75658b7a89a · outbound

This paper cites Adam: A method for stochastic opti- mization.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Adam: A method for stochastic opti- mization

Reference 6

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Observation 5b49992c-7922-4af1-ac5f-68a0a7f17f01 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 7

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source=pdf_text observed=2026-08-10T14:09:40.300038Z digest=sha256:5e35af97e1a6b6c2423f41042243b81f9323b4be1cd23213a6a3c4b3f4fd71e9

Observation 842b8033-0585-4b16-94ce-faf6d186b953 · outbound

This paper cites The Llama 3 Herd of Models.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting The Llama 3 Herd of Models

Reference 8

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source=pdf_text observed=2026-08-10T14:09:40.308441Z digest=sha256:cb4d88cd2bb9f842236d82f85187c65cfeead911310eab017c3f93c45ead7f00

Observation 41a72dac-d96c-480f-8a78-9c8554af1731 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Taming transformers for high-resolution image synthesis

Reference 9

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

source=pdf_text observed=2026-08-10T14:09:40.316554Z digest=sha256:57471f4b0239e05021607d845b77f3eafb2f3789d0109e62610eb93716457c7d

Observation bdc062b9-a9d6-45bb-8201-467325aafb62 · outbound

This paper cites Sc-gs: Sparse-controlled gaussian splatting for editable dynamic scenes.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Sc-gs: Sparse-controlled gaussian splatting for editable dynamic scenes

Reference 10

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Observation 2bd2d961-e46a-4502-a499-07e4668e165c · outbound

This paper cites Gaussianshader: 3d gaussian splatting with shading functions for reflective surfaces.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Gaussianshader: 3d gaussian splatting with shading functions for reflective surfaces

Reference 11

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

source=pdf_text observed=2026-08-10T14:09:40.339434Z digest=sha256:109b24f8ac2389336f8bc07047bd11005b183845f74aadebcafefbb1d31c4d37

Observation ff13caae-07ef-48d1-9d4a-7a6fa9bf7088 · outbound

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

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting 3d gaussian splatting for real-time radiance field rendering

Reference 12

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source=pdf_text observed=2026-08-10T14:09:40.348550Z digest=sha256:8b9dd4c5f605057578fe1266c32e377c88e09ce49117ed5198cbde390a296f8a

Observation 6484eeca-3be4-4c1d-990f-86ff0d8e3f7d · outbound

This paper cites Attention-based ensemble for deep met- ric learning.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Attention-based ensemble for deep met- ric learning

Reference 13

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T14:09:40.357778Z digest=sha256:730696ec5986c1376a7ead94c43c11eca63c1bd0c7a376d29179af0d47080d4c

Observation 4e6ca638-3c9c-4d57-b6a3-9cda7411e575 · outbound

This paper cites Auto-Encoding Variational Bayes.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Auto-Encoding Variational Bayes

Reference 14

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source=pdf_text observed=2026-08-10T14:09:40.365731Z digest=sha256:a2313e27bc71f647f2bdafa3d8fcc195e4e72342a0265ffbe59fc71dab7de577

Observation 7bab3d0d-6c43-4481-b626-360f6a8fc032 · outbound

This paper cites Learning multiple layers of features from tiny images.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Learning multiple layers of features from tiny images

Reference 15

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source=pdf_text observed=2026-08-10T14:09:40.375034Z digest=sha256:70753b0cf406e9a17c22a2d3272984393e07eecc8591380e8f755ef5ac8639af

Observation 06eceae8-98d2-415c-9e66-94809b04c7d4 · outbound

This paper cites Autoregressive image generation using residual quantization.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Autoregressive image generation using residual quantization

Reference 16

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T14:09:40.386526Z digest=sha256:5e50c86d1a3f3861998d6d4d25fbcced97d7af101ab8a2222bcc734d8884ec00

Observation 78d8ca2f-38a9-4dac-b4ed-a2f24c195bf3 · outbound

This paper cites Improved baselines with visual instruction tuning.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Improved baselines with visual instruction tuning

Reference 17

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source=pdf_text observed=2026-08-10T14:09:40.392718Z digest=sha256:0756df772acfac3a298fe7238218580263da68e2d8c74ea83268886ac04925ed

Observation cb2bf388-ebce-462d-b85c-394848f74407 · outbound

This paper cites Visual instruction tuning.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Visual instruction tuning

Reference 18

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

source=pdf_text observed=2026-08-10T14:09:40.400873Z digest=sha256:898b3e1557d42b27f7c605cfdfab2f36ef3a568f7a0aaa73294158804b95d569

Observation c66f69bb-99ab-42d9-b8d8-f9321ee17d80 · outbound

This paper cites Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis

Reference 19

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source=pdf_text observed=2026-08-10T14:09:40.407872Z digest=sha256:4a468351131352c76460eeea6e4d2ee7c6e690cd26e0b6db699d0bf3c2ed0d6b

Observation f80fac7b-b119-4d2f-bb02-c87f05fd685d · outbound

This paper cites Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 20

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source=pdf_text observed=2026-08-10T14:09:40.415195Z digest=sha256:819ec2fb9c6e0a1b7d9946505088c2362819e6513789516d8b670776584c64de

Observation 2bf9f215-b0b5-4f40-bc51-d82312a33474 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 21

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source=pdf_text observed=2026-08-10T14:09:40.428189Z digest=sha256:e7ae21a50e9b93ea943954a09f698ac7a3843f106d2f825df03f468f16f60c32

Observation 2125c459-70e8-4cca-90fd-d76da9bf99db · outbound

This paper cites D-nerf: Neural radiance fields for dynamic scenes.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting D-nerf: Neural radiance fields for dynamic scenes

Reference 22

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source=pdf_text observed=2026-08-10T14:09:40.437239Z digest=sha256:f62eeff06b8108850dfde426b2874af5512b5106c109ebad94d194aba4df6b08

Observation 77021f59-f33a-4d3c-8c0d-c04b048f796b · outbound

This paper cites Zero-shot text-to-image generation.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Zero-shot text-to-image generation

Reference 23

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source=pdf_text observed=2026-08-10T14:09:40.445611Z digest=sha256:2b233316c39c9a616febb0e1583aa836e366f87b5d08b5b4a39420404e4559c4

Observation 556e8381-6ec8-4264-af7b-e732cc929610 · outbound

This paper cites Gener- ating diverse high-fidelity images with vq-vae-2.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Gener- ating diverse high-fidelity images with vq-vae-2

Reference 24

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

source=pdf_text observed=2026-08-10T14:09:40.464498Z digest=sha256:a2c6a63f1c04f3af844c9621e5ad1ea56d88e7b65af93185fa65c1d81341cd59

Observation 97e2dbd3-99fe-4f72-8d0d-6baf1cc4f2c4 · outbound

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

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting High-resolution image syn- thesis with latent diffusion models

Reference 25

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source=pdf_text observed=2026-08-10T14:09:40.473684Z digest=sha256:d9460ec12f88c7cb011a037bd4e58a48cb12ae02110ed6112512974e8c8793a0

Observation 2d411b4c-0efe-4129-b650-8e7ab886a033 · outbound

This paper cites Imagenet large scale visual recognition challenge.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Imagenet large scale visual recognition challenge

Reference 26

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

source=pdf_text observed=2026-08-10T14:09:40.482833Z digest=sha256:75c5e4b7c0a1727160c7f3021931798bca53aa7af824208b63c6b5849b956ded

Observation 7aeb1f8e-d97b-4f17-a471-556c573561b5 · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 27

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source=pdf_text observed=2026-08-10T14:09:40.490781Z digest=sha256:16b8c9819fc02a8f8fdd430b852e0e65387e4347045c4d1561b5ec4d2e7a7148

Observation 4df6e271-2217-4237-bb2a-f9eedab2f10e · outbound

This paper cites Generative multimodal models are in-context learners.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Generative multimodal models are in-context learners

Reference 28

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T14:09:40.501912Z digest=sha256:2a24186de9090a126ce56be3cea0965f8d17cc55ffe801f56307720594633d5e

Observation 1806b06f-f908-4bc6-9bb7-7786c8c97ca1 · outbound

This paper cites Sq-vae: Variational bayes on discrete representation with self-annealed stochastic quantization.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Sq-vae: Variational bayes on discrete representation with self-annealed stochastic quantization

Reference 29

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raw_fallback, observed 2026-08-10T14:09:41.316381Z

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

source=pdf_text observed=2026-08-10T14:09:40.511281Z digest=sha256:9775a4e8c525bbd799f7372994e77e744260977bcfb8b27538315328ddd5b1fb

Observation 20d6dbe1-07ce-48db-93bc-6a0a56f341ba · outbound

This paper cites Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Reference 30

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source=pdf_text observed=2026-08-10T14:09:40.517503Z digest=sha256:000d8dbc881059b1897d0cfa5e4f8a08e3ed74d60034f0bfa9d908adb23831fd

Observation 59290144-c4c6-41bb-bff4-de539063f771 · outbound

This paper cites Training data-efficient image transformers & distillation through at- tention.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Training data-efficient image transformers & distillation through at- tention

Reference 31

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raw_fallback, observed 2026-08-10T14:09:41.296590Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T14:09:40.523601Z digest=sha256:c6caeca5181343a07e1be00595735518fe4bfc2a28227ca02dcee00fd3bb0ed4

Observation 89af6958-88d3-468d-95dd-201b3f155ecb · outbound

This paper cites Neural discrete representation learning.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Neural discrete representation learning

Reference 32

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T14:09:40.533507Z digest=sha256:f521b1573f9931fa73412ff07b8af0bf860d30baea70f31db454eef46ee70168

Observation 054beac4-a868-4ba3-9694-bde1daa05f08 · outbound

This paper cites Phenaki: Variable length video generation from open domain textual descriptions.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Phenaki: Variable length video generation from open domain textual descriptions

Reference 33

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source=pdf_text observed=2026-08-10T14:09:40.540492Z digest=sha256:2a8dc52bab194336bdb8a067c0b04fd9a35281fe499c6e132069ae0bf841708f

Observation 29e42402-b85b-4ead-8bfd-9d1c629329e3 · outbound

This paper cites Matching networks for one shot learning.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Matching networks for one shot learning

Reference 34

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T14:09:40.549927Z digest=sha256:ed3caaf0aafce5e0beb59c7b9b5ef6707d74bb11357ab9bf2392c54ca36e74c2

Observation f0d0cbb9-76a1-419a-90a6-3b2d4a2e5a1d · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Emu3: Next-Token Prediction is All You Need

Reference 35

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source=pdf_text observed=2026-08-10T14:09:40.558286Z digest=sha256:d711477a1195f1d32bfcf03dce39833fe52dc1732ed0e01ed50b291eee439250

Observation a31ec7b0-c4b2-4f46-8f6a-07533f82919f · outbound

This paper cites Hierarchical quantized autoencoders.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Hierarchical quantized autoencoders

Reference 36

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raw_fallback, observed 2026-08-10T14:09:41.209339Z

Source-reported events for the cited work

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

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Observation 69a6ea7e-bdee-437e-b657-0603773f5760 · outbound

This paper cites Physgaussian: Physics- integrated 3d gaussians for generative dynamics.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Physgaussian: Physics- integrated 3d gaussians for generative dynamics

Reference 37

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Source-reported events for the cited work

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

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Observation cdb67293-3fef-4e76-b37a-534d0a46a696 · outbound

This paper cites Qwen2 Technical Report.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Qwen2 Technical Report

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e995a399-eab9-4a4e-99ae-3923009c0d90 · outbound

This paper cites Deformable 3d gaussians for high- fidelity monocular dynamic scene reconstruction.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Deformable 3d gaussians for high- fidelity monocular dynamic scene reconstruction

Reference 39

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verified fuzzy
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Source-reported events for the cited work

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

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Observation fd89ad82-4894-4991-8090-da17aa115c9c · outbound

This paper cites pixelnerf: Neural radiance fields from one or few images.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting pixelnerf: Neural radiance fields from one or few images

Reference 40

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unresolved
no resolver link, observed 2026-08-10T14:09:40.590887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 650751ef-69ec-4840-b670-7e9503fc913a · outbound

This paper cites Vector-quantized Image Modeling with Improved VQGAN.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Vector-quantized Image Modeling with Improved VQGAN

Reference 41

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 34e4ac7a-c983-46ac-8698-55fb51acc493 · outbound

This paper cites Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

Reference 42

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unresolved
no resolver link, observed 2026-08-10T14:09:40.604068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:09:40.604068Z digest=sha256:42ea630e5814808adce9706a8e462cdb8c4cdfd6b6b5c42eecd53b9f5d45ad93

Observation 000b559b-da2a-437a-b96f-c258ee7d59be · outbound

This paper cites Gaussianimage: 1000 fps image representation and compres- sion by 2d gaussian splatting.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Gaussianimage: 1000 fps image representation and compres- sion by 2d gaussian splatting

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:09:41.124982Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T14:09:40.610203Z digest=sha256:a48db9ebf5093689417a5e993caabf3bdcc0e05d610fe79bc1a7904c2a3939a4

Observation 2d0100eb-5128-451d-a822-8aef3ad66efc · outbound

This paper cites Image-GS: Content-Adaptive Image Representation via 2D Gaussians.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Image-GS: Content-Adaptive Image Representation via 2D Gaussians

Reference 44

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unresolved
no resolver link, observed 2026-08-10T14:09:40.617859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:09:40.617859Z digest=sha256:81d8b3e5d87b0c21bc8262e603703a6e5fb5b94855135a21e06dd7ae98a035f3

Observation ee357048-4c78-4792-9136-ecb3d1c4182d · outbound

This paper cites Online clustered code- book.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Online clustered code- book

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:09:41.106130Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T14:09:40.625990Z digest=sha256:f01d879a02f88fc42aa0002f0fe546fe3ed4fc33fc0b609f407651f96bcd609a

Observation f8e50c94-a14d-4792-8d5b-324647c430b3 · outbound

This paper cites Deformable detr: Deformable transformers for end-to-end object detection.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Deformable detr: Deformable transformers for end-to-end object detection

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:09:41.084267Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T14:09:40.631917Z digest=sha256:b34b2d6cbc8bc574719ce01918d021e3ce983c68e2078706b3b2412d7b3c9fc9

Pith citing papers

Observation 07c9abc9-52e5-4252-a334-ce6c4dc9da97 · inbound

Near-Field Variable-Width Beam Coverage and Codebook Design for XL-RIS cites this paper.

Near-Field Variable-Width Beam Coverage and Codebook Design for XL-RIS GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting

Reference 2025

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:07:36.319431Z digest=sha256:f3bb34ba3a6f5b332179bd44c0f457a2eeb9fc55278e7a9ceb570716b54fb34d

Observation e70a3190-775b-4c8b-a9a6-eebe59d24c64 · inbound

2D Gaussian Splatting with Semantic Alignment for Image Inpainting cites this paper.

2D Gaussian Splatting with Semantic Alignment for Image Inpainting GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting

Reference 11

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no resolver link, observed 2026-08-05T12:06:35.982952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:06:35.982952Z digest=sha256:1eaa40dd804317d95e280f071b0fbd912df93898ab61a2fff7a6de2c30573e52

Observation dba45408-ae7f-43d7-ae28-4dde134ea6f4 · inbound

Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting cites this paper.

Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting

Reference 5

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unresolved
no resolver link, observed 2026-08-03T02:44:13.725601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:44:13.725601Z digest=sha256:4fb4323edb153ef52b723221a05c298bde9f4045eb22f258685dc3b2ed54b731

Observation c1a79d37-9849-4b99-8fb6-45fb3ac88a7a · inbound

GS-STVSR: Ultra-Efficient Continuous Spatio-Temporal Video Super-Resolution via 2D Gaussian Splatting cites this paper.

GS-STVSR: Ultra-Efficient Continuous Spatio-Temporal Video Super-Resolution via 2D Gaussian Splatting GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting

Reference 15

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verified exact
arxiv_id, observed 2026-05-10T11:40:19.483251Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T04:46:39.643664Z digest=sha256:442918e5f8e88cdd1f0c25242b90355f20598ee6fcb9bb248bd9376548179b79