Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-17T03:46:06.074416Z
Paper Citation Record · LEDGER
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
As of 12 August 2026, this Paper Citation Record lists 100 of 125 outbound references and 59 inbound Pith citation observations for arXiv:2505.16933.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T16:51:18.515307Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-11T03:07:52.266883Z
Reference resolution
100 of 125 outbound references displayed
- verified exact57
- verified fuzzy40
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation eb3827e3-a287-405e-a693-ca44886b26e5 · outbound
This paper cites Visual instruction tuning.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Visual instruction tuning
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.504560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1da84e56-3bd4-4ebe-ab82-4a7ef24e5818 · outbound
This paper cites Improved baselines with visual instruction tuning.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Improved baselines with visual instruction tuning
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.427693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3e14fcb8-15a1-4822-85bd-75e105605ac1 · outbound
This paper cites LLaVA-OneVision: Easy Visual Task Transfer.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning LLaVA-OneVision: Easy Visual Task Transfer
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.374982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f169e065-3353-4bc7-8af7-153c59d0da1b · outbound
This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.432745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d0c19dc5-0c8a-4ca8-9786-8f45aa59691a · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.378866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4d8324a0-973b-47e8-b9cd-e6b79cde81f7 · outbound
This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Chameleon: Mixed-Modal Early-Fusion Foundation Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.382760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4ce34fd3-d640-4d04-896e-3421ccbaa926 · outbound
This paper cites Kimi-Audio Technical Report.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Kimi-Audio Technical Report
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.386499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8b25ced2-3437-4776-af5b-64709d4dc2ab · outbound
This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.391139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 06d1d233-677c-4da6-a2ad-61236a8de789 · outbound
This paper cites GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.395741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 40cb993f-0961-4de2-82ad-085c8318420d · outbound
This paper cites InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.399421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 166dcc9d-cf00-4591-be91-8ac64bfe4c22 · outbound
This paper cites Sharegpt4video: Improving video understanding and generation with better captions.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Sharegpt4video: Improving video understanding and generation with better captions
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.451055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 331ed5d7-2084-415c-bfeb-bc831b564724 · outbound
This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning LLaVA-Video: Video Instruction Tuning With Synthetic Data
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.403500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b7a15082-b335-4343-b195-3bde33bcc2d9 · outbound
This paper cites Improving language understand- ing by generative pre-training.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Improving language understand- ing by generative pre-training
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.456509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bcba5c8f-c61c-4fd9-a7d7-35d5f3be3d9c · outbound
This paper cites Language models are unsupervised multitask learners.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Language models are unsupervised multitask learners
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.459411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 48d415b4-551d-40c4-aef8-c91e1e3283ad · outbound
This paper cites Language models are few-shot learners.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Language models are few-shot learners
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.462167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d9e3779f-853a-401e-92bc-4b97125945e0 · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning LLaMA: Open and Efficient Foundation Language Models
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.407078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9f4fe500-7a64-4a75-a2a4-354d104ff9bd · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.410445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 863a75d8-8b69-4ae0-8d25-7ca290de2a65 · outbound
This paper cites The Llama 3 Herd of Models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning The Llama 3 Herd of Models
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.414170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9ea18293-1c8d-4055-b5df-92e8a040a93b · outbound
This paper cites Qwen2.5 Technical Report.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Qwen2.5 Technical Report
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.417644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9799e762-59f7-4ad2-9188-2c2e8e84faa2 · outbound
This paper cites Textbooks Are All You Need II: phi-1.5 technical report.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Textbooks Are All You Need II: phi-1.5 technical report
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.421714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e20982b7-90c8-46b3-8f8a-598f0a197b53 · outbound
This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.425044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9d44a0bf-8555-41d1-9c94-7eee55cd6dfe · outbound
This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Deep unsupervised learning using nonequilibrium thermodynamics
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.481351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e804b2df-89ef-4240-88a4-325bfb7d01da · outbound
This paper cites Denoising diffusion probabilistic models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Denoising diffusion probabilistic models
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.484167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 34e3f717-f466-4afe-9689-add636dc0769 · outbound
This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Score-Based Generative Modeling through Stochastic Differential Equations
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.133700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8edaaf77-deae-4cfd-8618-38e6b417e85a · outbound
This paper cites Argmax flows and multinomial diffusion: Learning categorical distributions.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Argmax flows and multinomial diffusion: Learning categorical distributions
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.489056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7c97355f-9f1e-43b8-ac90-3c6554c5ba9f · outbound
This paper cites Structured denoising diffusion models in discrete state-spaces.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Structured denoising diffusion models in discrete state-spaces
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.491672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f52b048d-4123-4f13-83c6-bedd5d61d168 · outbound
This paper cites One transformer fits all distributions in multi-modal diffusion at scale.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning One transformer fits all distributions in multi-modal diffusion at scale
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.494360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0223dedc-50b9-4d17-ab40-db591575af9e · outbound
This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.139700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 296627a3-06a6-4c75-89c3-b84188b0c60d · outbound
This paper cites Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.145032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f69b31da-aeac-4421-b8fc-b816f8812f13 · outbound
This paper cites JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T03:46:06.149969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 839ae744-19dc-4705-a683-de022f9a29e4 · outbound
This paper cites MetaMorph: Multimodal Understanding and Generation via Instruction Tuning.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning MetaMorph: Multimodal Understanding and Generation via Instruction Tuning
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T07:51:13.882527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d0d52794-3986-4ec9-92e2-92310a2bf8d1 · outbound
This paper cites Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.155454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3f4cc231-4116-41ba-a654-3b56db6a9fd6 · outbound
This paper cites Unified Multimodal Discrete Diffusion.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Unified Multimodal Discrete Diffusion
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.160898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b40dcffc-9bae-4483-bd3b-485d13ea5e07 · outbound
This paper cites Dual Diffusion for Unified Image Generation and Understanding.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Dual Diffusion for Unified Image Generation and Understanding
Reference 34
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T03:46:06.166172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation da41ae7d-9522-4068-a4ad-eb02fdbf6299 · outbound
This paper cites A continuous time framework for discrete denoising models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning A continuous time framework for discrete denoising models
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.515783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d5937ee9-e1f8-45ff-aa30-2c14e0817adb · outbound
This paper cites DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.170976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5568ff17-9370-4799-ab26-0f87be51fb50 · outbound
This paper cites Score-based continuous-time discrete diffusion models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Score-based continuous-time discrete diffusion models
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.521210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d00570c7-a48a-45eb-9999-4f9bb61511b4 · outbound
This paper cites Discrete diffusion modeling by estimating the ratios of the data distribution.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Discrete diffusion modeling by estimating the ratios of the data distribution
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.524078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c524b596-ef42-44fe-9b85-ed2d972577e3 · outbound
This paper cites Simplified and Generalized Masked Diffusion for Discrete Data.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Simplified and Generalized Masked Diffusion for Discrete Data
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.176281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e7475394-6ea5-4e0c-9ed7-246eb2dc315c · outbound
This paper cites Simple and Effective Masked Diffusion Language Models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Simple and Effective Masked Diffusion Language Models
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.181114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6acf96e2-3ce4-45cc-9a1e-10feeba17223 · outbound
This paper cites Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T12:06:09.375609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9bd7c7d8-9e2d-4f4a-8089-1341606f43fb · outbound
This paper cites Large Language Diffusion Models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Large Language Diffusion Models
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.190689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bd0b8896-2c9f-4690-baac-3ec50bfdcd6c · outbound
This paper cites Effective and efficient masked image generation models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Effective and efficient masked image generation models
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.196182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0c0d6acd-f0e8-4f5c-b306-bf8ba73ece36 · outbound
This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.201287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cc9b7f28-f032-498c-b772-ba0ac2edc3dc · outbound
This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Are We on the Right Way for Evaluating Large Vision-Language Models?
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.205879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 445b6210-ae1a-4947-bae5-b525d1df4109 · outbound
This paper cites Scaling up Masked Diffusion Models on Text.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Scaling up Masked Diffusion Models on Text
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T03:46:06.210623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 28decc83-d2eb-411a-b305-0dbd6b0f38be · outbound
This paper cites Generative flows on discrete state-spaces: Enabling multimodal flows with applications to protein co-design.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Generative flows on discrete state-spaces: Enabling multimodal flows with applications to protein co-design
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.551165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 08656729-0c85-4f49-a871-8b13c4e11075 · outbound
This paper cites [MASK] is All You Need.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning [MASK] is All You Need
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.215090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 41c3e79d-43c6-47d2-a54b-8e3497ef3a44 · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Learning transferable visual models from natural language supervi- sion
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.558145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 235af7ba-d005-4b4e-a10b-404e509d1973 · outbound
This paper cites Sigmoid loss for language image pre- training.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Sigmoid loss for language image pre- training
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.561415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f3554d0f-20eb-43be-b3ad-ef62fd9bae44 · outbound
This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Wan: Open and Advanced Large-Scale Video Generative Models
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.219339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b7916aac-0447-4d56-aceb-d18a2a28da93 · outbound
This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.223481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 43fc7807-9237-4cae-b9f5-66485888a76e · outbound
This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.227621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 97d3e00c-f044-47ea-95a8-d494f548746f · outbound
This paper cites Llava-next: Improved reasoning, ocr, and world knowledge.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Llava-next: Improved reasoning, ocr, and world knowledge
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.572843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 74420e64-e9bf-490e-9bad-8518905b5848 · outbound
This paper cites MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.232126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 56107efc-5ba8-45f9-8914-68e61b75a389 · outbound
This paper cites VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.236748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 766fedce-a1e5-4383-85b2-bef96fdbbfe2 · outbound
This paper cites Qwen3: Think deeper, act faster.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Qwen3: Think deeper, act faster
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.430142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b09d0fa8-ad5f-4e5d-b554-7ded94b6979a · outbound
This paper cites Proximal Policy Optimization Algorithms.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Proximal Policy Optimization Algorithms
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.241029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e69c9a60-9b6b-46eb-a1da-eaf0754f3d8d · outbound
This paper cites Direct pref- erence optimization: Your language model is secretly a reward model.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Direct pref- erence optimization: Your language model is secretly a reward model
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.437948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ae8df455-53cf-436d-b6a1-2d4c87990ae6 · outbound
This paper cites Simpo: Simple preference optimization with a reference-free reward.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Simpo: Simple preference optimization with a reference-free reward
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.440182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 25e23fe3-dd3c-4c96-8eb7-124c01a569c0 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.244804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d357fa1e-e6c9-4c78-9844-a96a9eac384f · outbound
This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.445530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 59aa0ef3-eed0-4f7e-870d-2f320e92a188 · outbound
This paper cites MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.249031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 954aae21-7be7-4b15-811b-87e85925fe7b · outbound
This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Reference 64
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.253398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 96b9674b-7c79-4d0c-8582-4f29ae20bde2 · outbound
This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension
Reference 65
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.257804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 94533f71-da6b-4817-9cd0-cfd613a27ac5 · outbound
This paper cites Mmbench: Is your multi-modal model an all-around player?.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Mmbench: Is your multi-modal model an all-around player?
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.467768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6d754cfa-d9d4-4afd-adff-19a806badf15 · outbound
This paper cites Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems?.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems?
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.470591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0dfe3396-9f15-45bb-a736-7942eb673620 · outbound
This paper cites Mathvista: Evaluating math reasoning in visual contexts with gpt-4v, bard, and other large multimodal models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Mathvista: Evaluating math reasoning in visual contexts with gpt-4v, bard, and other large multimodal models
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.473458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9dd7dea5-c8ce-406a-a6f2-67c4e0c9f396 · outbound
This paper cites A diagram is worth a dozen images.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning A diagram is worth a dozen images
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.476384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f6c0efea-4f43-47c8-a549-b2bac16b1c8a · outbound
This paper cites ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning
Reference 70
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.262206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a32c1cb8-8f25-42d2-817d-2bf52fdc48e3 · outbound
This paper cites Docvqa: A dataset for vqa on document images.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Docvqa: A dataset for vqa on document images
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.486618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 097ac91d-3457-4070-9e4e-facd08cb09ef · outbound
This paper cites Infographicvqa.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Infographicvqa
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.496875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d4403c52-757d-4631-9544-b237b722ab18 · outbound
This paper cites Grok-1.5 vision preview.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Grok-1.5 vision preview
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.499231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 546a3dee-5b6d-4675-a23e-1e94049a767d · outbound
This paper cites MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding
Reference 74
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.266916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 34eaec19-4036-40b3-813d-b147c32d8412 · outbound
This paper cites MLVU: Benchmarking Multi-task Long Video Understanding.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning MLVU: Benchmarking Multi-task Long Video Understanding
Reference 75
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.271119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4362463a-c272-4aa9-9fa4-c71980ac5c6c · outbound
This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
Reference 76
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.275850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 079da712-36c7-4575-8ad6-f9906f60615e · outbound
This paper cites Sharegpt4v: Improving large multi-modal models with better captions.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Sharegpt4v: Improving large multi-modal models with better captions
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.512512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 98b271ca-217a-457f-99b8-2aae51ed6882 · outbound
This paper cites Cambrian-1: A fully open, vision-centric exploration of multimodal llms.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Cambrian-1: A fully open, vision-centric exploration of multimodal llms
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.518834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f926c3c7-f79c-4371-a099-c6908596a461 · outbound
This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning DeepSeek-VL: Towards Real-World Vision-Language Understanding
Reference 79
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.280227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 49a6cef4-ddf7-432d-80ca-9b727dc6395c · outbound
This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
Reference 80
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.283985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 010a517e-f0b1-4adc-9d7c-92ee868653fc · outbound
This paper cites Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation
Reference 81
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.289016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 415cfe4b-de35-47ff-9419-73ac225adc98 · outbound
This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
Reference 82
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.292960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d483a297-5ab9-499c-b3ed-e7815f5a501e · outbound
This paper cites Emu3: Next-Token Prediction is All You Need.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Emu3: Next-Token Prediction is All You Need
Reference 83
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.296588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 90c34c26-3cb2-43a8-9c6f-4cb44e5ec9cd · outbound
This paper cites What matters when building vision- language models?.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning What matters when building vision- language models?
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.541997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6335c45f-b843-448d-85f7-16fa449c88e4 · outbound
This paper cites Diffusion-lm improves controllable text generation.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Diffusion-lm improves controllable text generation
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.545358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 06e83cfe-da1b-4941-b442-33935c749004 · outbound
This paper cites DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T06:50:38.345995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b375bf3c-173b-4363-ab3b-cb69fb510164 · outbound
This paper cites SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control
Reference 87
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.304802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5e5f35e3-e498-4783-88d0-c5f65f595e2b · outbound
This paper cites Self-conditioned Embedding Diffusion for Text Generation.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Self-conditioned Embedding Diffusion for Text Generation
Reference 88
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.308600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 826ada18-bbca-486e-abb0-90a06845a8e1 · outbound
This paper cites Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
Reference 89
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.312461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation aee58e8e-e87d-46ec-b43d-2163b6a6cd53 · outbound
This paper cites Continuous diffusion for categorical data.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Continuous diffusion for categorical data
Reference 90
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:30:22.553521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 335ae4b8-e1ab-445d-8b78-1d88a7ac3d12 · outbound
This paper cites Categorical sdes with simplex diffusion.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Categorical sdes with simplex diffusion
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.575634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fc0cb21d-4572-43b1-9348-b787ecbec784 · outbound
This paper cites Ar-diffusion: Auto-regressive diffusion model for text generation.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Ar-diffusion: Auto-regressive diffusion model for text generation
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.578941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 79705010-b49f-4211-9800-40a077a77b6b · outbound
This paper cites Tess: Text-to-text self-conditioned simplex diffusion.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Tess: Text-to-text self-conditioned simplex diffusion
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.435422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9f78f635-7cfe-4958-9aa9-9718fecfd85a · outbound
This paper cites DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises
Reference 94
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.319703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 89cc55f2-661b-454f-b7c3-701027ffb29c · outbound
This paper cites Planner: Generating diversified paragraph via latent language diffusion model.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Planner: Generating diversified paragraph via latent language diffusion model
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.448323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cd448a65-09ea-4803-9e1f-529f3b07ec74 · outbound
This paper cites Reflected diffusion models.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Reflected diffusion models
Reference 96
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.453674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b78038ef-7bf1-429d-b8f5-e0cc015bc126 · outbound
This paper cites Bayesian Flow Networks.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Bayesian Flow Networks
Reference 97
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.323058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2f7b1ba1-11c5-47ea-ba0a-1e63ff2b25f8 · outbound
This paper cites Text generation with diffusion language models: A pre-training approach with continuous paragraph denoise.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Text generation with diffusion language models: A pre-training approach with continuous paragraph denoise
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T03:46:06.478931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 82d4db9d-1bb7-442d-a71c-07dc8d9c0f1e · outbound
This paper cites Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
Reference 99
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.327035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c40fe4d7-3a34-4b71-927d-6fb9afbb34c5 · outbound
This paper cites Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
Reference 100
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.330844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
Observation c7785dfa-a5d3-4648-ae12-9fccc85b42cb · inbound
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding cites this paper.
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a82829d2-a820-4e1e-a799-5096c180d32f · inbound
The Philosophy and Physics of Duality cites this paper.
The Philosophy and Physics of Duality LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:32:07.588327Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07b2dcdb-1cff-428a-9a8c-6e1035ba0070 · inbound
A Survey on Diffusion Language Models cites this paper.
A Survey on Diffusion Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:15:15.869197Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 072f861c-8656-4bc4-935d-2ad3398040cc · inbound
LLaDA-VLA: Vision Language Diffusion Action Models cites this paper.
LLaDA-VLA: Vision Language Diffusion Action Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:55:30.063762Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dca79717-210d-479b-90c9-37e24c8d55fc · inbound
Inpainting-Guided Policy Optimization for Diffusion Large Language Models cites this paper.
Inpainting-Guided Policy Optimization for Diffusion Large Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:57:47.054983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24b21a0c-3418-40c6-8124-7baa99028163 · inbound
Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation cites this paper.
Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T15:39:42.150374Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40f9660a-6be0-4cce-93c0-e954c9b8ac14 · inbound
CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit cites this paper.
CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T09:11:10.026064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 02d7388a-13b4-4c4f-b1fd-67961e2f98f9 · inbound
CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit cites this paper.
CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:16:47.440982Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87f4633e-4417-412e-8e99-a5245e57c9db · inbound
A Comprehensive Study on Visual Token Redundancy for Discrete Diffusion-based Multimodal Large Language Models cites this paper.
A Comprehensive Study on Visual Token Redundancy for Discrete Diffusion-based Multimodal Large Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T21:31:36.816979Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de50c696-4650-4c37-a92b-b230fba37457 · inbound
Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models cites this paper.
Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T16:21:38.516268Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb444cf3-6c48-4bd9-ac63-0a6dd390f5df · inbound
Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed cites this paper.
Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7312622e-1578-4eea-aaf4-5a9bc24a6733 · inbound
dMLLM-TTS: Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large Language Models cites this paper.
dMLLM-TTS: Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 91116f92-a9f5-4328-b953-eb8627c20fa7 · inbound
Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding cites this paper.
Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:14:37.068486Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 36b693b4-2464-4076-a5c0-d10994d5788e · inbound
DODO: Discrete OCR Diffusion Models cites this paper.
DODO: Discrete OCR Diffusion Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:27:44.206481Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1af74f9a-ebed-46be-bb48-014677dea550 · inbound
Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion cites this paper.
Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T13:43:40.241796Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92a023c9-53c7-496f-a97c-b996afba0642 · inbound
Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models cites this paper.
Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d5b250fd-1231-4206-9f3b-fbbad600a124 · inbound
DMax: Aggressive Parallel Decoding for dLLMs cites this paper.
DMax: Aggressive Parallel Decoding for dLLMs LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 94
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 48172090-4760-4a73-96a6-c70627854ba7 · inbound
DMax: Aggressive Parallel Decoding for dLLMs cites this paper.
DMax: Aggressive Parallel Decoding for dLLMs LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 94
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.114126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6ebb8afe-175f-4c15-93df-684a05f7cbbc · inbound
ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion cites this paper.
ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 401f5876-6c26-4a02-85cf-c91df8f2ce99 · inbound
ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion cites this paper.
ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T08:54:05.875779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 52b44d06-1538-478c-8960-9592f83ddfaf · inbound
LaDA-Band: Language Diffusion Models for Vocal-to-Accompaniment Generation cites this paper.
LaDA-Band: Language Diffusion Models for Vocal-to-Accompaniment Generation LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 10beb142-c2e7-4b3f-b268-6d919da7e65c · inbound
LaDA-Band: Language Diffusion Models for Vocal-to-Accompaniment Generation cites this paper.
LaDA-Band: Language Diffusion Models for Vocal-to-Accompaniment Generation LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T16:27:21.284010Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1686a21a-cb41-41e2-9221-edc480f3f1df · inbound
Dataset-Level Metrics Attenuate Non-Determinism: A Fine-Grained Non-Determinism Evaluation in Diffusion Language Models cites this paper.
Dataset-Level Metrics Attenuate Non-Determinism: A Fine-Grained Non-Determinism Evaluation in Diffusion Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c15f2d8e-0392-4f8f-84ee-744cf0776978 · inbound
DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis cites this paper.
DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T20:50:53.567415Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbbafb58-abfd-4d16-b8ca-a2b898647d8e · inbound
BARD: Bridging AutoRegressive and Diffusion Vision-Language Models Via Highly Efficient Progressive Block Merging and Stage-Wise Distillation cites this paper.
BARD: Bridging AutoRegressive and Diffusion Vision-Language Models Via Highly Efficient Progressive Block Merging and Stage-Wise Distillation LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation eb4bde6f-c13e-46f7-a290-c7abca04ea42 · inbound
Stability-Weighted Decoding for Diffusion Language Models cites this paper.
Stability-Weighted Decoding for Diffusion Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ca8d6825-d1c7-47a7-aaf5-00c0fd0daf9a · inbound
One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models cites this paper.
One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 173
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0edd5724-900e-418f-9547-dc81ff4795ad · inbound
Continuous Latent Diffusion Language Model cites this paper.
Continuous Latent Diffusion Language Model LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 105
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b34a8d5b-8b14-4ff0-8664-9ddca8b66942 · inbound
GPO-V: Jailbreak Diffusion Vision Language Model by Global Probability Optimization cites this paper.
GPO-V: Jailbreak Diffusion Vision Language Model by Global Probability Optimization LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c57969a2-7928-4a43-bffd-f52edbfd67af · inbound
GPO-V: Jailbreak Diffusion Vision Language Model by Global Probability Optimization cites this paper.
GPO-V: Jailbreak Diffusion Vision Language Model by Global Probability Optimization LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3a02f2a6-a770-466f-81a8-1cb2f278de4c · inbound
Relative Score Policy Optimization for Diffusion Language Models cites this paper.
Relative Score Policy Optimization for Diffusion Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 99
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9a8fe905-5117-403b-91d0-fdf1754ade04 · inbound
ELF: Embedded Language Flows cites this paper.
ELF: Embedded Language Flows LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f89f8dc6-cc6c-4f68-9a6f-f28f0e3c50d5 · inbound
ELF: Embedded Language Flows cites this paper.
ELF: Embedded Language Flows LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 78
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T14:05:46.219054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0541e5a3-d182-4862-882c-223458aa6288 · inbound
MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving cites this paper.
MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c046c1a7-c9b0-4ecd-b767-f7c846f2431f · inbound
MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving cites this paper.
MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8a319274-e01d-4b42-b589-99229e3338c1 · inbound
Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language Models cites this paper.
Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:46:06.580274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d91d7967-7d2b-4495-9d9c-4fc7050ec5a9 · inbound
Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language Models cites this paper.
Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T21:49:05.340916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 97d16801-5838-4526-827a-d903d58cf0e7 · inbound
Sketch Then Paint: Hierarchical Reinforcement Learning for Diffusion Multi-Modal Large Language Models cites this paper.
Sketch Then Paint: Hierarchical Reinforcement Learning for Diffusion Multi-Modal Large Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T21:22:48.437357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bf27191e-27c8-476a-a3fc-64e88f6847c7 · inbound
Fast-dDrive: Efficient Block-Diffusion VLM for Autonomous Driving cites this paper.
Fast-dDrive: Efficient Block-Diffusion VLM for Autonomous Driving LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T05:06:38.510406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 941648a2-a284-49f5-8c8a-8a06e1b960ee · inbound
Fast-dDrive: Efficient Block-Diffusion VLM for Autonomous Driving cites this paper.
Fast-dDrive: Efficient Block-Diffusion VLM for Autonomous Driving LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:35:12.292159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e3c9f15a-40bb-4901-940c-6be7a95ad9c1 · inbound
Visual-Redundancy-Controlled Parallel Decoding for Diffusion-Based Multimodal Large Language Models cites this paper.
Visual-Redundancy-Controlled Parallel Decoding for Diffusion-Based Multimodal Large Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T23:14:01.649826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f822b833-a84e-436b-b1f1-f51754cfbdf7 · inbound
AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling cites this paper.
AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T08:53:15.643977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9ae228eb-72a0-4e85-a531-164d1de881bb · inbound
dMoE: dLLMs with Learnable Block Experts cites this paper.
dMoE: dLLMs with Learnable Block Experts LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T22:52:45.042761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ff7ad414-ffcb-43a5-b5cd-3bb6c841210e · inbound
Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models cites this paper.
Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 82
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T08:06:48.409248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 930ae589-b850-42be-8cc0-a8501c1e2886 · inbound
Prefilling-dLLM: Predictive Prefilling for Long-Context Inference in Diffusion Language Models cites this paper.
Prefilling-dLLM: Predictive Prefilling for Long-Context Inference in Diffusion Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T04:57:38.705417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d13cc417-d2c5-4d66-8cfd-cc2f299eca4d · inbound
PerceptionDLM: Parallel Region Perception with Multimodal Diffusion Language Models cites this paper.
PerceptionDLM: Parallel Region Perception with Multimodal Diffusion Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T00:49:18.047342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 32551ffa-a4de-414c-8aa5-6147c706dc9e · inbound
Improved Large Language Diffusion Models cites this paper.
Improved Large Language Diffusion Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T19:20:05.614967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 02c0a308-8bee-444f-8aa6-fc63c7094570 · inbound
Nemotron-Labs-Diffusion-Image: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis cites this paper.
Nemotron-Labs-Diffusion-Image: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T08:14:26.650220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 09b26b26-9119-418d-bf41-2f6e9082c521 · inbound
Nemotron-Labs-Diffusion-Image: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis cites this paper.
Nemotron-Labs-Diffusion-Image: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T09:39:38.012846Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 491af39e-5970-49fd-a154-f335659969fa · inbound
Parallelized Autoregressive Decoding for Omni-Modal Dense Video Captioning cites this paper.
Parallelized Autoregressive Decoding for Omni-Modal Dense Video Captioning LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T05:48:27.255331Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e3d5295-6984-4f2b-80d0-a215eeeb8670 · inbound
TACG: Trajectory-Aware Commit Gating for Diffusion Language Model Decoding cites this paper.
TACG: Trajectory-Aware Commit Gating for Diffusion Language Model Decoding LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T03:56:26.770729Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01287599-c0a9-451a-8b6d-7f3400a1fd62 · inbound
Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding cites this paper.
Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-07-11T03:07:52.297701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 29edb95b-2335-441a-86cd-ed5e4a95e833 · inbound
Discrete Diffusion Models: A Unified Framework from Tokenization to Generation cites this paper.
Discrete Diffusion Models: A Unified Framework from Tokenization to Generation LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 196
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:17:48.734640Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2d08504-8703-4a64-b2f9-3723b98fc4bb · inbound
Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs cites this paper.
Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:46:39.695123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4151bba2-1a48-4929-8f1e-88859952e015 · inbound
Seeing the End at Step Zero: Accelerating Diffusion MLLMs via MLP Sparsity-Aware Truncation cites this paper.
Seeing the End at Step Zero: Accelerating Diffusion MLLMs via MLP Sparsity-Aware Truncation LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:48:56.739924Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation effdeb4d-4795-4f84-bf2d-209671065be8 · inbound
ST-Veto: Spatio-Temporal Token Veto for Diffusion MLLMs via Taylor Prediction and Visual Grounding cites this paper.
ST-Veto: Spatio-Temporal Token Veto for Diffusion MLLMs via Taylor Prediction and Visual Grounding LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T16:48:36.676187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5a08073-03ad-47be-96d7-8fc06ab571d3 · inbound
Faster but Different: Diagnosing and Controlling Content Drift in Accelerated Multimodal Diffusion Language Models cites this paper.
Faster but Different: Diagnosing and Controlling Content Drift in Accelerated Multimodal Diffusion Language Models LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T14:08:23.176270Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1479906e-e069-4285-84e4-0955a62c6fc0 · inbound
WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA cites this paper.
WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:40:52.308647Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0764bdfc-f9c4-48fc-8f13-9bbc35667233 · inbound
Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? cites this paper.
Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:51:18.515307Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.