Paper Citation Record · LEDGER

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization

As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2510.04961.

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

pith.paper-citation-record.v1
2510.04961 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:25:36.104805Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T04:18:45.403718Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:20:19.343984Z

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy0
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation afd23de3-b2cc-4395-9129-b0f4404e7310 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Cosmos World Foundation Model Platform for Physical AI

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:33.514720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf31865b-3481-4483-b7ff-9cedb76ac3ae · outbound

This paper cites Models directly trained at128×128.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Models directly trained at128×128

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:36.104805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71222710-f588-4aef-a23d-073e33cec4cc · outbound

This paper cites On the Importance of Noise Scheduling for Diffusion Models.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization On the Importance of Noise Scheduling for Diffusion Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:33.852695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 991313a8-36de-40d4-8e9d-caa704b7b1c5 · outbound

This paper cites Mixture-of-transformers: A sparse and scalable architecture for multi-modal foundation models.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Mixture-of-transformers: A sparse and scalable architecture for multi-modal foundation models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:34.320465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9beb344-1cc4-48c0-81b3-3e989b95ed57 · outbound

This paper cites DGAE: Diffusion-guided autoencoder for efficient latent representation learning.arXiv preprint, 2506.09644,.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization DGAE: Diffusion-guided autoencoder for efficient latent representation learning.arXiv preprint, 2506.09644,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:34.405950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a665255-829a-4519-992c-b7ddce89f401 · outbound

This paper cites Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:34.483894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b362679-350b-45dc-a69e-b4c80fd4f4b8 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Movie Gen: A Cast of Media Foundation Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:34.677649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d542e41-4086-4bba-b548-3d1251fc1e4a · outbound

This paper cites DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:34.998830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3d31ada-40d1-498a-aa91-1451e099ad77 · outbound

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

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:35.126850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d897b9ba-f9e8-45c0-924f-f3213b0b7702 · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:35.251399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c813ace-5135-4c5e-9136-b92ce70c1b66 · outbound

This paper cites Latent denoising makes good visual tokenizers.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Latent denoising makes good visual tokenizers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:35.389368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d1ba256-33da-4e8c-80f3-800dab3f237a · outbound

This paper cites Randomized Autoregressive Visual Generation.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Randomized Autoregressive Visual Generation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:35.474279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7c18563-f116-4d62-a1c5-a2eab0d2727d · outbound

This paper cites Z x∈E−1(z) ∆(x,ˆy) # P(D g(z) =y)dydx(2) = min ˆy.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Z x∈E−1(z) ∆(x,ˆy) # P(D g(z) =y)dydx(2) = min ˆy

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:35.579729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7ac77c7-ae75-473f-a99b-15c2c20f68a3 · outbound

This paper cites Impact of sampling steps on reconstruction.Quality of samples from diffusion models usually improves with a higher number of sampling steps.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Impact of sampling steps on reconstruction.Quality of samples from diffusion models usually improves with a higher number of sampling steps

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:35.830861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94e3542a-068c-41ff-b080-80403a152ea8 · outbound

This paper cites We show in Table S3 that SSDDoutperforms the original decoders on reconstruction performance, despite being conditioned on features optimized for a different architecture.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization We show in Table S3 that SSDDoutperforms the original decoders on reconstruction performance, despite being conditioned on features optimized for a different architecture

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:35.988569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 586244c7-883b-4b3c-843e-d4df2de85647 · outbound

This paper cites Classifier-free diffusion guidance.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Classifier-free diffusion guidance

Reference 2006

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:34.036258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1afc006-9434-4351-b0d9-5f3f98801ddb · outbound

This paper cites We use the following loss coefficients: λLPIPS = 0 .5, λREPA = 0 .25, λKL = 10 −6.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization We use the following loss coefficients: λLPIPS = 0 .5, λREPA = 0 .25, λKL = 10 −6

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:35.709669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55b8f0bb-8bca-4482-a8cd-ef7cee9acb91 · outbound

This paper cites GLU Variants Improve Transformer.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization GLU Variants Improve Transformer

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:34.878371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd865685-340e-41a1-8847-db8730428d08 · outbound

This paper cites High-Fidelity Image Compression with Score-based Generative Models.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization High-Fidelity Image Compression with Score-based Generative Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:34.201290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9683d53-1770-4b88-8d04-dfc80b613961 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:34.567462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d42dc319-f30f-40b2-9cb9-684040991e75 · outbound

This paper cites Flow to the mode: Mode-seeking diffusion autoencoders for state-of-the-art image tokenization.arXiv preprint, 2503.11056,.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Flow to the mode: Mode-seeking diffusion autoencoders for state-of-the-art image tokenization.arXiv preprint, 2503.11056,

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:34.811180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 918554f6-a36e-4b25-801b-a7567b8d98a5 · outbound

This paper cites Diffusion Autoencoders are Scalable Image Tokenizers.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Diffusion Autoencoders are Scalable Image Tokenizers

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:33.951411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 807130a9-b35f-43ca-885e-fa91186cda13 · outbound

This paper cites an unresolved cited work.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:33.726998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63759571-4e80-45c6-87d2-dd4fae17b2a6 · outbound

This paper cites Imagen 3.arXiv preprint, 2408.07009,.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Imagen 3.arXiv preprint, 2408.07009,

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:33.604375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation cdd01faf-e136-481a-a2c1-0ce84f24032e · inbound

PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion cites this paper.

PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-30T03:18:05.272041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.