Paper Citation Record · LEDGER

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL

As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 2 inbound Pith citation observations for arXiv:2506.05501.

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

pith.paper-citation-record.v1
2506.05501 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:23:12.587345Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:12:44.268199Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:46:26.764949Z

Reference resolution

50 of 50 outbound references displayed

verified exact1
verified fuzzy0
unresolved49
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96a77d7f-fa98-41a8-9e07-edf007569884 · outbound

This paper cites Qwen Technical Report.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Qwen Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.478364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 200d7dc9-908e-44b5-9d48-9045e77bda97 · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.481259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa50303b-20ca-4208-8b1d-4821dec5f712 · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.483699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa006ef1-21b6-45e0-857e-fbe5e29c86db · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:23:12.956200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b7d0096-7748-4a23-9d69-4ac1d3a6712c · outbound

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

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.488547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ef8ac61-7805-45dd-938f-6a7e989dbefb · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.491082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8078d485-d69e-4472-96ea-3820844c2e71 · outbound

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

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.494017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb7208e1-e5af-4525-994d-e3bacfddec81 · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.496519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d38f3067-beb7-4847-bf6f-4fa8939bcc51 · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.498502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2ff5d2d-5d0c-45a8-b643-68d21febdb40 · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.500546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3487a38-dc62-4b86-bca4-cf93de2dbdb1 · outbound

This paper cites Making LLaMA SEE and Draw with SEED Tokenizer.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Making LLaMA SEE and Draw with SEED Tokenizer

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.502691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43cabedf-93fb-4bc3-95f8-3054e75a5a97 · outbound

This paper cites SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.504995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 729a06c6-ce8a-4ff9-b2b8-40ac076a70a3 · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:23:12.939100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 335c3dbc-5520-48c4-9bd2-b300b359f201 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.509070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96b75dea-f716-4ad6-8b6c-2b525eb43572 · outbound

This paper cites Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.511095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2855e21-d9a8-4b73-972d-110d7f90ec7f · outbound

This paper cites Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.513374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b80772bd-6c4d-4a8a-a5b8-b41a05f3c324 · outbound

This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.515817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3300954-a378-45ed-bfd4-cba46133dae8 · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.518502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38bfa069-c6de-4947-9281-2cf7158039a3 · outbound

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

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.520489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac842250-4125-431c-9591-e5c9565c852e · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.522483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2702fb33-86bf-49bd-aac5-964a85abd772 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL LLaVA-OneVision: Easy Visual Task Transfer

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.524294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5d08ef2-8fb8-46da-aa02-8e3f1342f3db · outbound

This paper cites Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.526429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 103a01cb-0bb3-487f-acbc-489b357ee2d8 · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.528420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0172b25-e168-43c2-a262-98253bd749ec · outbound

This paper cites Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.530267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b20debb-3f5e-4a67-b117-b03d9d4b5172 · outbound

This paper cites World Model on Million-Length Video And Language With Blockwise RingAttention.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL World Model on Million-Length Video And Language With Blockwise RingAttention

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.532475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b68318a-909b-42d0-915e-5c207f2ee8c7 · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.534533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c5eef34-f8f8-4ee5-a798-8c6b7248206b · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.536598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ffdc315-6711-481d-8abc-328255e8f321 · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:23:12.913662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d87d19a-e1ae-4303-9f62-5672c95aadb0 · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:23:12.907359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7332d79e-57f8-4174-85d8-8b70c25bb5a2 · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:23:12.901377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9b2e2319-32ed-461f-b9e9-6439c909aa14 · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:23:12.895261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2774d770-059e-47a3-b1ad-0b65c07fcf89 · outbound

This paper cites Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.546258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba6c5649-32ce-4b33-8167-eb10939e377a · outbound

This paper cites Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.548885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dca5abc9-c343-408a-8b5e-7b94d32c7641 · outbound

This paper cites Auto-Encoding Morph-Tokens for Multimodal LLM.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Auto-Encoding Morph-Tokens for Multimodal LLM

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.551112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 847cb11b-3ecf-415b-86f8-11836b42ae8c · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.553747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c139af4a-b154-427e-9360-3ae217bb71dd · outbound

This paper cites STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.555613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5ab22ed-e6c7-4935-acc6-2f424e9e5885 · outbound

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

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.558043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80576249-4419-4000-b45b-25bfa0c04620 · outbound

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

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.560144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0eaa143-c41d-4162-9181-63929e916336 · outbound

This paper cites Exploring Bias in over 100 Text-to-Image Generative Models.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Exploring Bias in over 100 Text-to-Image Generative Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.562389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4577579a-4ee3-4c6b-a3c7-d3abc8a12f2a · outbound

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

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Emu3: Next-Token Prediction is All You Need

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.564317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f51ef8b-170d-4fd7-9587-a084cd6aca56 · outbound

This paper cites VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.566657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06cef3f4-e53e-4366-a48a-ab0590a4e052 · outbound

This paper cites SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.568772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc0bb740-0c9c-45ab-97af-f5ac02e04aae · outbound

This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.571060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 002e6126-6d0f-4cb9-9fd6-a1e4c5f649ed · outbound

This paper cites SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.573432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5bfb895-cb14-434c-94c6-f3ca527b0271 · outbound

This paper cites AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.575466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b21326d8-46de-41c1-a09d-972fc86c1262 · outbound

This paper cites an unresolved cited work.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:23:12.888567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 806798e9-e5f9-4bf7-bf90-b96e1a959eaa · outbound

This paper cites Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:23:12.617976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f2de3076-eb6e-40b3-a718-a37c94f2152c · outbound

This paper cites VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.582550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1cca2d8-79c8-4148-a7e6-e175d8903d09 · outbound

This paper cites online" 'onlinestring :=.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL online" 'onlinestring :=

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.584717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92668bde-dfec-4198-a361-bb225f2e4309 · outbound

This paper cites write newline.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL write newline

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.587345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c012480a-14d9-4fdf-8d47-e429a5d16559 · inbound

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs cites this paper.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T05:12:44.268199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 334b2604-7141-46d0-96bc-011d1b7f2b03 · inbound

SpatialFusion: Endowing Unified Image Generation with Intrinsic 3D Geometric Awareness cites this paper.

SpatialFusion: Endowing Unified Image Generation with Intrinsic 3D Geometric Awareness FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:26.767451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.