RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution | Paper Citation Record

Observation db2e2fd7-62d6-46e6-b286-3f0dac047765 · outbound

This paper cites Scheduled sampling for sequence prediction with recurrent neural networks.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Scheduled sampling for sequence prediction with recurrent neural networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.377600Z

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Observation 835dd210-d7db-479f-8fe3-a650e61c5b59 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:49:40.943052Z

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Observation 258e872b-34bb-4814-8ca8-dcca2fb39929 · outbound

This paper cites Improving image generation with better captions.Computer Science.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Improving image generation with better captions.Computer Science

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.418221Z

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Observation a3334b46-bb73-477b-8446-197227deefce · outbound

This paper cites Training diffusion models with reinforcement learning.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Training diffusion models with reinforcement learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.465422Z

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Observation db2ad8f2-f2ab-4ddd-aa5a-714234c05e24 · outbound

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

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:49:40.946283Z

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Observation 2d1f24a4-fe15-4486-98e5-bac91995117a · outbound

This paper cites MaskGIT: Masked generative image transformer.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution MaskGIT: Masked generative image transformer

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.380493Z

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Observation 268762fd-9748-4a32-b68b-9f72aa804967 · outbound

This paper cites Muse: Text-to-image generation via masked generative transformers.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Muse: Text-to-image generation via masked generative transformers

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.389778Z

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Observation ffa2debe-7263-429d-9f91-d9849d2fb707 · outbound

This paper cites Softvq-vae: Efficient 1-dimensional continuous tokenizer.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Softvq-vae: Efficient 1-dimensional continuous tokenizer

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.485848Z

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Observation 79beca6a-5e48-47a3-beaa-3d6c9701db1b · outbound

This paper cites BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:49:40.929209Z

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Observation a7ca868f-348f-4fa3-9325-c9c4796e84cc · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:49:40.918911Z

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Observation 3e356c21-d1fc-4769-9178-26d9a918dd18 · outbound

This paper cites Directly fine-tuning diffusion models on differentiable rewards.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Directly fine-tuning diffusion models on differentiable rewards

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.462571Z

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Observation 5f675a19-cb74-4e86-96cf-ab269928e8ce · outbound

This paper cites Reward model ensembles help mitigate overoptimization.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Reward model ensembles help mitigate overoptimization

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.361004Z

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Observation 647b8112-eb94-43c2-9cf4-9a748f4deaa7 · outbound

This paper cites Maximum likelihood from incomplete data via the EM algorithm.Journal of the Royal Statistical Society: Series B.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Maximum likelihood from incomplete data via the EM algorithm.Journal of the Royal Statistical Society: Series B

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.437236Z

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Observation da327be3-0b19-4cce-950f-a444ebd5f578 · outbound

This paper cites CogView: Mastering text-to-image generation via transformers.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution CogView: Mastering text-to-image generation via transformers

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.400084Z

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Observation b23b23b2-edea-48d2-b6ee-0f9bb0139b1e · outbound

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

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Taming transformers for high-resolution image synthesis

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.482532Z

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Observation 00bcc4aa-984b-4064-973e-01b40deeb51a · outbound

This paper cites Dpok: Reinforcement learning for fine-tuning text-to-image diffusion models.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Dpok: Reinforcement learning for fine-tuning text-to-image diffusion models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.451507Z

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Observation 1a3381cf-29c5-4cff-bc00-8ac170d97b99 · outbound

This paper cites Scaling laws for reward model overoptimization.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Scaling laws for reward model overoptimization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.356071Z

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Observation 9e3f5bf3-cd6e-4d47-8837-c3f80b0b497d · outbound

This paper cites GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:49:40.887362Z

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Observation 9047968a-8cf2-4756-be8d-1adcf9e420d0 · outbound

This paper cites Generative adversarial nets.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Generative adversarial nets

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.467945Z

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Observation 1cbc049c-b4d9-4084-ab53-8411ef582ac2 · outbound

This paper cites Bootstrap your own latent: A new approach to self-supervised learning.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Bootstrap your own latent: A new approach to self-supervised learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.363459Z

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Observation 2369d1a8-69f5-4867-b899-ea405719d91c · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.353723Z

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Observation db6e7e4b-2c02-48ef-95bf-5c20baef0421 · outbound

This paper cites Straightening out the straight-through estimator: Overcoming optimization challenges in vector quantized networks.ICML.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Straightening out the straight-through estimator: Overcoming optimization challenges in vector quantized networks.ICML

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.439992Z

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Observation b058a46d-162c-4847-827b-e9ace4943bcb · outbound

This paper cites Image-to-image translation with conditional adversarial networks.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Image-to-image translation with conditional adversarial networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.395854Z

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Observation c7c750c3-af60-409c-84e3-3dfbb6901a28 · outbound

This paper cites Categorical reparameterization with Gumbel-softmax.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Categorical reparameterization with Gumbel-softmax

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.374282Z

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Observation ca4cf6d2-d980-4039-8557-4a92afa9714f · outbound

This paper cites T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:49:40.939540Z

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Observation 4d1779f1-4aa7-427e-945c-5220296c0d93 · outbound

This paper cites Fast decoding in sequence models using discrete latent variables.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Fast decoding in sequence models using discrete latent variables

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.454097Z

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Observation 252948aa-eb6f-4c20-9c65-8e615d8d2006 · outbound

This paper cites Scaling Laws for Neural Language Models.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Scaling Laws for Neural Language Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:49:40.895881Z

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Observation 17e547c3-6cdf-4146-8896-273e98c8b408 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.Proceedings of the national academy of sciences.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Overcoming catastrophic forgetting in neural networks.Proceedings of the national academy of sciences

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.402512Z

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Observation be44dd44-0f06-4900-b493-a8e8e15be454 · outbound

This paper cites Rl with kl penalties is better viewed as bayesian inference.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Rl with kl penalties is better viewed as bayesian inference

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.457034Z

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Observation cc197f03-4d9c-4fef-a091-90bca4f42eeb · outbound

This paper cites Repa-e: Unlocking vae for end-to-end tuning of latent diffusion transformers.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Repa-e: Unlocking vae for end-to-end tuning of latent diffusion transformers

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.434350Z

Source-reported events for the cited work

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Observation 6e20c38a-dfc5-4474-8c14-540a4a85e694 · outbound

This paper cites Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:49:40.922660Z

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Observation 3ed9c092-213e-4874-b0c0-a54b1fd9485b · outbound

This paper cites Mergevq: A unified framework for visual generation and representation with disentangled token merging and quantization.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Mergevq: A unified framework for visual generation and representation with disentangled token merging and quantization

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.476791Z

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Observation a00f1cdf-ef07-4fbc-970b-5e75ae6aa320 · outbound

This paper cites Va-π: Variational policy alignment for pixel-aware autoregressive generation.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Va-π: Variational policy alignment for pixel-aware autoregressive generation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.383433Z

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Observation 2895b185-b4ac-4d28-87ac-3f08c4ed41e7 · outbound

This paper cites Microsoft COCO: Common objects in context.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Microsoft COCO: Common objects in context

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.470854Z

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Observation 5270a4d4-ee6b-4e3a-998e-d70a5bcb3ecd · outbound

This paper cites Flow matching for generative modeling.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Flow matching for generative modeling

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.415475Z

Source-reported events for the cited work

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Observation 3124c93e-500a-4ac3-b566-d83a7d20d87f · outbound

This paper cites Flow-grpo: Training flow matching models via online rl.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Flow-grpo: Training flow matching models via online rl

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.504245Z

Source-reported events for the cited work

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Observation 9b72ce2e-b051-42bb-b5d7-9f3e6428fc2a · outbound

This paper cites Decoupled weight decay regularization.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Decoupled weight decay regularization

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.459808Z

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Observation 9b86cf57-c2e3-45f2-85f3-543a1f838036 · outbound

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

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:49:40.890541Z

Source-reported events for the cited work

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Observation a3e3c970-89a2-477a-b93c-d088cf3168e6 · outbound

This paper cites A view of the em algorithm that justifies incremental, sparse, and other variants.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution A view of the em algorithm that justifies incremental, sparse, and other variants

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.366121Z

Source-reported events for the cited work

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Observation fe5c188d-28d5-4cc6-90ef-9a49c3d79606 · outbound

This paper cites Training language models to follow instructions with human feedback.NeurIPS.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Training language models to follow instructions with human feedback.NeurIPS

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.371457Z

Source-reported events for the cited work

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Observation 9137680d-1a3e-44de-a9cd-1450bda5abaf · outbound

This paper cites Freeman, and Yu-Xiong Wang.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Freeman, and Yu-Xiong Wang

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.496257Z

Source-reported events for the cited work

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Observation 89afd83d-ad0e-4974-a251-bb568dd56ed6 · outbound

This paper cites Scalable diffusion models with transformers.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Scalable diffusion models with transformers

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.493788Z

Source-reported events for the cited work

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Observation 3feb2a8d-1b1b-4bd4-94a7-b51667d0fded · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:49:40.904468Z

Source-reported events for the cited work

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Observation 320f6548-1bc8-47ea-b981-e48324685b76 · outbound

This paper cites Reinforcement learning by reward-weighted regression for operational space control.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Reinforcement learning by reward-weighted regression for operational space control

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.488818Z

Source-reported events for the cited work

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Observation 22391721-289a-46c4-81af-87c7c340988f · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.473560Z

Source-reported events for the cited work

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Observation 998adf9c-7bc3-406d-abe3-4598238b86b9 · outbound

This paper cites Aligning Text-to-Image Diffusion Models with Reward Backpropagation.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Aligning Text-to-Image Diffusion Models with Reward Backpropagation

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:49:40.925892Z

Source-reported events for the cited work

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Observation b0bd8bd7-27c3-4ad2-8331-05e46cb215a1 · outbound

This paper cites Qwen2.5 technical report.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Qwen2.5 technical report

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.501501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d74986a-d75c-47be-b3d0-ca03e3af65d0 · outbound

This paper cites Learning transferable visual models from natural language supervision.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Learning transferable visual models from natural language supervision

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.392998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12671343-6041-4760-8183-cf512836a71a · outbound

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

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Zero-shot text-to-image generation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.386057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 06bb285b-4ebf-4cba-92e7-c744690086ed · outbound

This paper cites Sequence level training with recurrent neural networks.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Sequence level training with recurrent neural networks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.358541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6e2ec4e9-7129-4cff-9701-a7565a47cd5f · outbound

This paper cites Generating diverse high-fidelity images with VQ-V AE-2.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Generating diverse high-fidelity images with VQ-V AE-2

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.368817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eba44567-e1b8-47c8-931b-e91dfdafb10b · outbound

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

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution High-resolution image synthesis with latent diffusion models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.491385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fc73c602-8a6e-4197-923c-b468de688c15 · outbound

This paper cites Proximal Policy Optimization Algorithms.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Proximal Policy Optimization Algorithms

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:49:40.893219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 166f7554-a7ba-4629-a787-355201b2604b · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:49:40.907757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4764e018-30cd-4cae-bcdd-00c4cae8f206 · outbound

This paper cites Scalable image tokenization with index backpropagation quantization.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Scalable image tokenization with index backpropagation quantization

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.423558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e7b2041d-67f8-46d0-948d-c1b2a788d58d · outbound

This paper cites Journeydb: A benchmark for generative image understanding.NeurIPS.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Journeydb: A benchmark for generative image understanding.NeurIPS

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.410605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 04043bd1-4302-4c54-b35f-8a2cc443b8a5 · outbound

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

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:49:40.898442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4cde9640-29e7-4918-88de-4f5ff581f8b7 · outbound

This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised learning results.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised learning results

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.431547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8ae6a361-1703-47a9-a7ff-add8d84f01ff · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.NeurIPS.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Visual autoregressive modeling: Scalable image generation via next-scale prediction.NeurIPS

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.498961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 010c0cc4-a98a-4697-b5e0-13a97fd71478 · outbound

This paper cites Neural discrete representation learning.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Neural discrete representation learning

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.405231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 829e91de-b4a4-449f-aa06-2a4fe8cfe1c2 · outbound

This paper cites Diffusion model alignment using direct preference optimization.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Diffusion model alignment using direct preference optimization

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.479405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9eb7b858-8c79-4dae-a80a-29698f4c93e2 · outbound

This paper cites SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:49:40.884259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 758f3bb4-ea34-4db1-9cd1-55e07836234e · outbound

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

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Emu3: Next-Token Prediction is All You Need

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:49:40.914523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bacc4c14-0fc6-4a36-8d32-9b0fda4aba92 · outbound

This paper cites Williams.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Williams

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.445121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a06f67c-2df2-43d9-9776-81527c0560e0 · outbound

This paper cites an unresolved cited work.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-05-21T05:54:41.442460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a3f5fbd8-24b7-477b-93df-3184d7ceaa5c · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:49:40.901207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 406f16d3-5e8a-4213-b879-18d379e0a399 · outbound

This paper cites Gigatok: Scaling visual tokenizers to 3 billion parameters for autoregressive image generation.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Gigatok: Scaling visual tokenizers to 3 billion parameters for autoregressive image generation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.426179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b7ef1236-a161-4797-b15e-4484ab5a9a1b · outbound

This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Imagereward: Learning and evaluating human preferences for text-to-image generation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.420804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e6d1e4ef-a56c-445f-b189-a6f2f08b37fc · outbound

This paper cites Scaling autoregressive models for content-rich text-to-image generation.TMLR.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Scaling autoregressive models for content-rich text-to-image generation.TMLR

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.412931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49c00af3-c48c-44bb-81a9-23746d6ca8a2 · outbound

This paper cites An image is worth 32 tokens for reconstruction and generation.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution An image is worth 32 tokens for reconstruction and generation

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.428780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e18ad42a-e5b5-44fd-8d5f-1fed50eb0348 · outbound

This paper cites Group critical-token policy optimization for autoregressive image generation.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Group critical-token policy optimization for autoregressive image generation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.408153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c7578e74-1dcf-4652-8874-a5b4cf6ffc0e · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution The unreasonable effectiveness of deep features as a perceptual metric

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:54:41.448413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e0583df5-fc43-4f66-be56-590770960393 · outbound

This paper cites Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:49:40.949420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Outbound references

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