Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-19T16:46:56.743268Z
Paper Citation Record · LEDGER
DMax: Aggressive Parallel Decoding for dLLMs
As of 5 August 2026, this Paper Citation Record lists 100 of 110 outbound references and 5 inbound Pith citation observations for arXiv:2604.08302.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-01T07:04:06.161855Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
100 of 110 outbound references displayed
- verified exact74
- verified fuzzy23
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation bc375e90-838c-44b0-807d-fc9fe95d4085 · outbound
This paper cites GPT-4 Technical Report.
DMax: Aggressive Parallel Decoding for dLLMs GPT-4 Technical Report
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.146952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f9d0ae2f-014c-4052-8f73-2f37f5475b6e · outbound
This paper cites OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs.
DMax: Aggressive Parallel Decoding for dLLMs OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.144387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 823b42af-7b71-47e1-a1f3-98a013338578 · outbound
This paper cites Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models.
DMax: Aggressive Parallel Decoding for dLLMs Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.180455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 22983622-7ba9-4f05-95c5-38868c285779 · outbound
This paper cites Structured denoising diffusion models in discrete state-spaces.Advances in neural information processing systems, 34:17981–17993.
DMax: Aggressive Parallel Decoding for dLLMs Structured denoising diffusion models in discrete state-spaces.Advances in neural information processing systems, 34:17981–17993
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.647327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 27a810ea-e4b2-4a15-8884-3abfc3f14360 · outbound
This paper cites Program Synthesis with Large Language Models.
DMax: Aggressive Parallel Decoding for dLLMs Program Synthesis with Large Language Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.152687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dd4dcea7-acdf-460f-849e-d28c98beb5ad · outbound
This paper cites Qwen Technical Report.
DMax: Aggressive Parallel Decoding for dLLMs Qwen Technical Report
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.141516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fd6305b5-83c8-437d-a90e-3d22bd6eb709 · outbound
This paper cites Learning to parallel: Accelerating diffusion large language models via adaptive parallel decoding.
DMax: Aggressive Parallel Decoding for dLLMs Learning to parallel: Accelerating diffusion large language models via adaptive parallel decoding
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.645279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 034efed6-7778-4103-8bf2-5a1d336b0f98 · outbound
This paper cites Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking.
DMax: Aggressive Parallel Decoding for dLLMs Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.139007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 61efc888-300e-4536-b175-fc66e0ed79a2 · outbound
This paper cites LLaDA2.1 : Speeding up text diffusion via token editing.
DMax: Aggressive Parallel Decoding for dLLMs LLaDA2.1 : Speeding up text diffusion via token editing
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.085239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 12594179-ddca-4ec0-967c-e0fa93041e18 · outbound
This paper cites LLaDA2.0: Scaling Up Diffusion Language Models to 100B.
DMax: Aggressive Parallel Decoding for dLLMs LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.076018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c0b2c502-5ed8-48a1-97af-93e267948b74 · outbound
This paper cites Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.
DMax: Aggressive Parallel Decoding for dLLMs Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.222884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2795d43c-923d-4695-a550-86ccfd0950db · outbound
This paper cites DFlash: Block Diffusion for Flash Speculative Decoding.
DMax: Aggressive Parallel Decoding for dLLMs DFlash: Block Diffusion for Flash Speculative Decoding
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-29T02:05:01.756664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6f64a1ed-9968-44af-9e98-b825dd223b09 · outbound
This paper cites an unresolved cited work.
DMax: Aggressive Parallel Decoding for dLLMs Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-05-19T16:47:40.653588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dfbfce57-59a2-4720-b462-ca44b34ba765 · outbound
This paper cites dultra: Ultra-fast diffusion language models via reinforcement learning.
DMax: Aggressive Parallel Decoding for dLLMs dultra: Ultra-fast diffusion language models via reinforcement learning
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.220367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f5a25185-7b8d-482d-ba72-d1cb68246ad9 · outbound
This paper cites DPad: Efficient Diffusion Language Models with Suffix Dropout.
DMax: Aggressive Parallel Decoding for dLLMs DPad: Efficient Diffusion Language Models with Suffix Dropout
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.008037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4ef4e79c-8d22-414d-bcc4-7cf340d92ee1 · outbound
This paper cites dparallel: Learnable parallel decoding for dllms.
DMax: Aggressive Parallel Decoding for dLLMs dparallel: Learnable parallel decoding for dllms
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.002769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 68cdd249-e992-4e3d-8f15-2ea6601e5713 · outbound
This paper cites Sdar: A syn- ergistic diffusion-autoregression paradigm for scalable sequence generation.arXiv preprint arXiv:2510.06303.
DMax: Aggressive Parallel Decoding for dLLMs Sdar: A syn- ergistic diffusion-autoregression paradigm for scalable sequence generation.arXiv preprint arXiv:2510.06303
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.214425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f4f84bad-02a5-4be8-bf95-8d9358553ca6 · outbound
This paper cites Sdar-vl: Stable and efficient block-wise diffusion for vision-language understanding.
DMax: Aggressive Parallel Decoding for dLLMs Sdar-vl: Stable and efficient block-wise diffusion for vision-language understanding
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.217604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation abad22b0-40f1-45d1-b250-82f32d24f0bd · outbound
This paper cites Moe-diffuseq: Enhancing long-document diffusion models with sparse attention and mixture of experts.
DMax: Aggressive Parallel Decoding for dLLMs Moe-diffuseq: Enhancing long-document diffusion models with sparse attention and mixture of experts
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.226261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d02f8cf2-e50d-48fa-871b-6f4f08ec98f6 · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
DMax: Aggressive Parallel Decoding for dLLMs Training Verifiers to Solve Math Word Problems
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.232356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b3728b1c-cefc-4c81-844c-784fbe3ad33d · outbound
This paper cites Stable-diffcoder: Pushing the frontier of code diffusion large language model.
DMax: Aggressive Parallel Decoding for dLLMs Stable-diffcoder: Pushing the frontier of code diffusion large language model
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.247587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 985cbeea-039b-46fc-95c3-a3c4ac9d128c · outbound
This paper cites dvoting: Fast voting for dllms.
DMax: Aggressive Parallel Decoding for dLLMs dvoting: Fast voting for dllms
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.265104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 449d9b1a-8d8e-4b56-b772-8622d4e69305 · outbound
This paper cites Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed.
DMax: Aggressive Parallel Decoding for dLLMs Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.197686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6c45b0c2-2c19-41da-b8fc-74005817c17d · outbound
This paper cites DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation.
DMax: Aggressive Parallel Decoding for dLLMs DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.189153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4a70bbc3-746a-438a-9097-2cb8da968420 · outbound
This paper cites The Llama 3 Herd of Models.
DMax: Aggressive Parallel Decoding for dLLMs The Llama 3 Herd of Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.191737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 930e08ba-f323-4360-9741-96647dbf8478 · outbound
This paper cites OpenThoughts: Data Recipes for Reasoning Models.
DMax: Aggressive Parallel Decoding for dLLMs OpenThoughts: Data Recipes for Reasoning Models
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.194913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b67d31cf-318e-4478-b0c5-90dc941e0bda · outbound
This paper cites Reward-weighted sampling: Enhancing non-autoregressive characteristics in masked diffusion llms.
DMax: Aggressive Parallel Decoding for dLLMs Reward-weighted sampling: Enhancing non-autoregressive characteristics in masked diffusion llms
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.205725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 118dccbf-8fdd-450a-bed5-04a8b90ce193 · outbound
This paper cites Ultrallada: Scaling the context length to 128k for diffusion large language models.
DMax: Aggressive Parallel Decoding for dLLMs Ultrallada: Scaling the context length to 128k for diffusion large language models
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.169261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d7e329c1-f37d-4c32-8e87-01adc69d4423 · outbound
This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.
DMax: Aggressive Parallel Decoding for dLLMs Measuring Mathematical Problem Solving With the MATH Dataset
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.160583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4b879057-4483-4ba4-b91f-579d8e183118 · outbound
This paper cites Soft-masked diffusion language models.
DMax: Aggressive Parallel Decoding for dLLMs Soft-masked diffusion language models
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.117449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a6b395a0-fd2d-44de-a29d-bd39676f9482 · outbound
This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.
DMax: Aggressive Parallel Decoding for dLLMs Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.649571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7b1b2f9d-f7fe-440e-b0a4-e3c9f14396e3 · outbound
This paper cites Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs.
DMax: Aggressive Parallel Decoding for dLLMs Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.155489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 54612009-22a3-4466-b8e2-a04bc12cfa8a · outbound
This paper cites LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning.
DMax: Aggressive Parallel Decoding for dLLMs LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-08-03T02:15:22.563508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 05b085a7-3073-4240-90fb-4831088205a8 · outbound
This paper cites Residual Context Diffusion Language Models.
DMax: Aggressive Parallel Decoding for dLLMs Residual Context Diffusion Language Models
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.174673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d557d995-19ef-43cb-a7e6-a30e57974f1b · outbound
This paper cites S., Seo, J.-s., Zhang, Z., and Gupta, U.
DMax: Aggressive Parallel Decoding for dLLMs S., Seo, J.-s., Zhang, Z., and Gupta, U
Reference 35
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T16:47:40.241824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dccfa270-913e-450f-a41b-f7b9064f666a · outbound
This paper cites Mask tokens as prophet: Fine-grained cache eviction for efficient dllm inference.
DMax: Aggressive Parallel Decoding for dLLMs Mask tokens as prophet: Fine-grained cache eviction for efficient dllm inference
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.200430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 98319453-8b35-48a7-aa4f-67c314efd1e6 · outbound
This paper cites Accelerating diffusion llms via adaptive parallel decoding.
DMax: Aggressive Parallel Decoding for dLLMs Accelerating diffusion llms via adaptive parallel decoding
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.253339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d845d1f1-1fba-4911-925d-5d7104b3130c · outbound
This paper cites Cdlm: Consistency diffusion language models for faster sampling.
DMax: Aggressive Parallel Decoding for dLLMs Cdlm: Consistency diffusion language models for faster sampling
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.073297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ceb5d356-64ea-4779-9d34-064e44def973 · outbound
This paper cites Fast inference from transformers via speculative decoding.
DMax: Aggressive Parallel Decoding for dLLMs Fast inference from transformers via speculative decoding
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.643389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d038e4c8-ef72-43e2-a4cd-e8534df55e8f · outbound
This paper cites Numinamath: The largest public dataset in ai4maths with 860k pairs of competition math problems and solutions.Hugging Face repository, 13(9):9.
DMax: Aggressive Parallel Decoding for dLLMs Numinamath: The largest public dataset in ai4maths with 860k pairs of competition math problems and solutions.Hugging Face repository, 13(9):9
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.635657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 48799835-6853-44a1-a40a-f53c3413c362 · outbound
This paper cites Beyond fixed: Variable-length denoising for diffusion large language models.arXiv e-prints, pages arXiv–2508.
DMax: Aggressive Parallel Decoding for dLLMs Beyond fixed: Variable-length denoising for diffusion large language models.arXiv e-prints, pages arXiv–2508
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.637647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c85486b1-4c6a-4c00-a02e-8fa6bf6db2a7 · outbound
This paper cites A Survey on Diffusion Language Models.
DMax: Aggressive Parallel Decoding for dLLMs A Survey on Diffusion Language Models
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-06-05T02:16:19.040077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fcb72500-a34f-4078-8249-9978c5e50fb0 · outbound
This paper cites EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty.
DMax: Aggressive Parallel Decoding for dLLMs EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.016164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bf138594-10fa-4c18-b374-839aab18c29e · outbound
This paper cites Let’s verify step by step.
DMax: Aggressive Parallel Decoding for dLLMs Let’s verify step by step
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.639396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ac47653f-8649-46b0-81a1-cd60a7b795b3 · outbound
This paper cites Wedlm: Reconciling diffusion language models with standard causal atten- tion for fast inference.arXiv preprint arXiv:2512.22737.
DMax: Aggressive Parallel Decoding for dLLMs Wedlm: Reconciling diffusion language models with standard causal atten- tion for fast inference.arXiv preprint arXiv:2512.22737
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.010943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fe652e8e-63fb-473c-8d2a-625f5071a8f9 · outbound
This paper cites Tidar: Think in diffusion, talk in autoregression.
DMax: Aggressive Parallel Decoding for dLLMs Tidar: Think in diffusion, talk in autoregression
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.186302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fe69e76a-9a67-4813-9d2a-941ac8a4f2c5 · outbound
This paper cites Longllada: Unlocking long context capabilities in diffusion llms.
DMax: Aggressive Parallel Decoding for dLLMs Longllada: Unlocking long context capabilities in diffusion llms
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.625382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 321c5f8d-b6b1-49b0-ab16-0eca19b879d9 · outbound
This paper cites Mmada-vla: Large diffusion vision-language-action model with unified multi-modal instruction and generation.
DMax: Aggressive Parallel Decoding for dLLMs Mmada-vla: Large diffusion vision-language-action model with unified multi-modal instruction and generation
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.098053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 21a3f967-5630-4941-9526-69130a4a6542 · outbound
This paper cites dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching.
DMax: Aggressive Parallel Decoding for dLLMs dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
Reference 49
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-03T13:05:37.261622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0704e33f-2eb4-4526-96c1-bc78b0f29fa7 · outbound
This paper cites Focus- dllm: Accelerating long-context diffusion llm inference via confidence-guided context focusing.
DMax: Aggressive Parallel Decoding for dLLMs Focus- dllm: Accelerating long-context diffusion llm inference via confidence-guided context focusing
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.057510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cb5db8cf-fa6e-4085-80b1-fd13af6a92e9 · outbound
This paper cites Discrete diffusion language modeling by estimating the ratios of the data distribution.
DMax: Aggressive Parallel Decoding for dLLMs Discrete diffusion language modeling by estimating the ratios of the data distribution
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.629224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 49602da2-16fa-4602-9943-7201afc7db48 · outbound
This paper cites Diffusion in diffusion: Breaking the autoregressive bottleneck in block diffusion models.
DMax: Aggressive Parallel Decoding for dLLMs Diffusion in diffusion: Breaking the autoregressive bottleneck in block diffusion models
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.045984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5d555c91-64eb-4ac2-bef7-a9d3b48b7942 · outbound
This paper cites dKV-Cache: The Cache for Diffusion Language Models.
DMax: Aggressive Parallel Decoding for dLLMs dKV-Cache: The Cache for Diffusion Language Models
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.235722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 34e5b913-7203-4903-bd50-4de9a0199e8d · outbound
This paper cites dinfer: An efficient inference framework for diffusion language models.
DMax: Aggressive Parallel Decoding for dLLMs dinfer: An efficient inference framework for diffusion language models
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.048771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3d92801c-2c43-4c43-9dee-635986241f23 · outbound
This paper cites A diverse corpus for evaluating and developing english math word problem solvers.
DMax: Aggressive Parallel Decoding for dLLMs A diverse corpus for evaluating and developing english math word problem solvers
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.623449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 523662f7-b1f4-4877-952a-13c385569025 · outbound
This paper cites Diffusion language models are super data learners.
DMax: Aggressive Parallel Decoding for dLLMs Diffusion language models are super data learners
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.040125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 85c2ee36-6128-4b95-b02c-72bceeee88b5 · outbound
This paper cites The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models.
DMax: Aggressive Parallel Decoding for dLLMs The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-06-09T03:08:03.844139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 01c159fd-fa74-493a-bd94-1ae458850163 · outbound
This paper cites Large Language Diffusion Models.
DMax: Aggressive Parallel Decoding for dLLMs Large Language Diffusion Models
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.037143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bfc8249b-bc4a-49a6-aa80-f4bb29ca5a92 · outbound
This paper cites d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models.
DMax: Aggressive Parallel Decoding for dLLMs d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.042885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1b0a5bb4-1a3d-4175-8cf8-b600f99acff9 · outbound
This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.
DMax: Aggressive Parallel Decoding for dLLMs SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.051638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c63cb812-4bfc-45cc-b69f-39cc928b0502 · outbound
This paper cites Hierarchy decoding: A training-free parallel decoding strategy for diffusion large language models.
DMax: Aggressive Parallel Decoding for dLLMs Hierarchy decoding: A training-free parallel decoding strategy for diffusion large language models
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.627284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4c26be6a-c22a-4d2f-a2f7-5cb1d719764f · outbound
This paper cites d3llm: Ultra-fast diffusion llm using pseudo- trajectory distillation.arXiv preprint arXiv:2601.07568.
DMax: Aggressive Parallel Decoding for dLLMs d3llm: Ultra-fast diffusion llm using pseudo- trajectory distillation.arXiv preprint arXiv:2601.07568
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.183410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4db0fdcd-815a-4d84-9ee9-e6d739bd7420 · outbound
This paper cites Improving reasoning for diffusion language models via group diffusion policy optimization.
DMax: Aggressive Parallel Decoding for dLLMs Improving reasoning for diffusion language models via group diffusion policy optimization
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.013623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5113c4cb-ca3c-4eac-927e-dd9c1c13f5a8 · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
DMax: Aggressive Parallel Decoding for dLLMs High-resolution image synthesis with latent diffusion models
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.619456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b651b713-0d95-4e6b-b731-a4f65b450015 · outbound
This paper cites Dream- booth: Fine tuning text-to-image diffusion models for subject-driven generation.
DMax: Aggressive Parallel Decoding for dLLMs Dream- booth: Fine tuning text-to-image diffusion models for subject-driven generation
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.621499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 941a5800-589e-4913-9f56-eab1aedbd4da · outbound
This paper cites Simple and effective masked diffusion language models.Advances in Neural Information Processing Systems, 37:130136–130184.
DMax: Aggressive Parallel Decoding for dLLMs Simple and effective masked diffusion language models.Advances in Neural Information Processing Systems, 37:130136–130184
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.617446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 72dfa17c-bda8-4f8b-b9c2-6613f20f5e85 · outbound
This paper cites The diffusion duality.
DMax: Aggressive Parallel Decoding for dLLMs The diffusion duality
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.256202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9dd78df9-7187-49eb-86eb-fbb7e37fe6aa · outbound
This paper cites Simple guidance mecha- nisms for discrete diffusion models.
DMax: Aggressive Parallel Decoding for dLLMs Simple guidance mecha- nisms for discrete diffusion models
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.612669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1bfd359d-921d-454c-901b-d02c692cda06 · outbound
This paper cites Scaling beyond masked diffusion language models.arXiv e-prints, pages arXiv–2602.
DMax: Aggressive Parallel Decoding for dLLMs Scaling beyond masked diffusion language models.arXiv e-prints, pages arXiv–2602
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.608421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ff5cd38b-da53-4139-a7f6-49389811e7f4 · outbound
This paper cites Simplified and generalized masked diffusion for discrete data.Advances in neural information processing systems, 37:103131– 103167.
DMax: Aggressive Parallel Decoding for dLLMs Simplified and generalized masked diffusion for discrete data.Advances in neural information processing systems, 37:103131– 103167
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.610577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4f25fd4c-6bb2-4506-91ce-2e0ae0fad22d · outbound
This paper cites Denoising Diffusion Implicit Models.
DMax: Aggressive Parallel Decoding for dLLMs Denoising Diffusion Implicit Models
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.005196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ae4830bc-c50a-4873-94a4-29f17107a21c · outbound
This paper cites Sparse-dllm: Accelerating diffusion llms with dynamic cache eviction.
DMax: Aggressive Parallel Decoding for dLLMs Sparse-dllm: Accelerating diffusion llms with dynamic cache eviction
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.615401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ec6392f3-d372-44b7-9ca7-6e311383e560 · outbound
This paper cites Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference.
DMax: Aggressive Parallel Decoding for dLLMs Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
Reference 73
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.018746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 72e74ac9-2d62-4138-af40-29ed66241b3a · outbound
This paper cites wd1: Weighted policy optimization for reasoning in diffusion language models.arXiv preprint arXiv:2507.08838.
DMax: Aggressive Parallel Decoding for dLLMs wd1: Weighted policy optimization for reasoning in diffusion language models.arXiv preprint arXiv:2507.08838
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.067108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7ef35537-3884-40e8-816c-c248b5a744c9 · outbound
This paper cites From next-token to next-block: A principled adaptation path for diffusion llms.arXiv preprint arXiv:2512.06776.
DMax: Aggressive Parallel Decoding for dLLMs From next-token to next-block: A principled adaptation path for diffusion llms.arXiv preprint arXiv:2512.06776
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.211630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 29ce9cab-d683-470b-b703-6dd57fed0bbc · outbound
This paper cites Generalized Interpolating Discrete Diffusion.
DMax: Aggressive Parallel Decoding for dLLMs Generalized Interpolating Discrete Diffusion
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.262286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4ef1f809-d9ff-429b-ae8a-820cb2ca4c14 · outbound
This paper cites CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit.
DMax: Aggressive Parallel Decoding for dLLMs CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit
Reference 77
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.238631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0970f9db-cd53-430c-b996-d3d44ee124ee · outbound
This paper cites Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing.
DMax: Aggressive Parallel Decoding for dLLMs Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.244732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c1a6f6da-3789-4914-8661-e55770e4095a · outbound
This paper cites Sparsed: Sparse attention for diffusion language models.
DMax: Aggressive Parallel Decoding for dLLMs Sparsed: Sparse attention for diffusion language models
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.655437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5956d383-46df-4391-b460-8c458333a14e · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837.
DMax: Aggressive Parallel Decoding for dLLMs Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.651783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dac7a471-0737-476c-b919-ac02c3912b73 · outbound
This paper cites Accelerating diffusion large language models with slowfast sampling: The three golden principles.
DMax: Aggressive Parallel Decoding for dLLMs Accelerating diffusion large language models with slowfast sampling: The three golden principles
Reference 81
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.208536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6c60f7ac-ceee-4c7e-a488-72c09becbfa4 · outbound
This paper cites LLaDA-VLA: Vision Language Diffusion Action Models.
DMax: Aggressive Parallel Decoding for dLLMs LLaDA-VLA: Vision Language Diffusion Action Models
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.177584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c101f9b6-ac6e-4c84-afaf-1d796822d8ef · outbound
This paper cites Fast- dllm v2: Efficient block-diffusion llm.arXiv preprint arXiv:2509.26328.
DMax: Aggressive Parallel Decoding for dLLMs Fast- dllm v2: Efficient block-diffusion llm.arXiv preprint arXiv:2509.26328
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.203090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 312f8653-2ee4-43e9-a47c-f805db3c95d4 · outbound
This paper cites Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding.
DMax: Aggressive Parallel Decoding for dLLMs Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
Reference 84
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.132755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9e66a6d9-0138-45d8-9259-aee29688fe90 · outbound
This paper cites Streaming-dllm: Accelerating diffusion llms via suffix pruning and dynamic decoding.arXiv e-prints, pages arXiv–2601.
DMax: Aggressive Parallel Decoding for dLLMs Streaming-dllm: Accelerating diffusion llms via suffix pruning and dynamic decoding.arXiv e-prints, pages arXiv–2601
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.641358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 340f6eb7-c523-43a4-a80a-871506bae0c3 · outbound
This paper cites Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards.
DMax: Aggressive Parallel Decoding for dLLMs Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards
Reference 86
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.171892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 44df5d78-1b54-481e-bb70-72615d29e6b4 · outbound
This paper cites Dream-Coder 7B: An Open Diffusion Language Model for Code.
DMax: Aggressive Parallel Decoding for dLLMs Dream-Coder 7B: An Open Diffusion Language Model for Code
Reference 87
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.149741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f34db659-a660-45ea-8f7b-fc21c27674e7 · outbound
This paper cites DLLMQuant: Quantizing Diffusion-based Large Language Models.
DMax: Aggressive Parallel Decoding for dLLMs DLLMQuant: Quantizing Diffusion-based Large Language Models
Reference 88
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.120619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4af869ee-6916-4fc6-aad7-2eff5628c57c · outbound
This paper cites Lopa: Scaling dllm inference via looka- head parallel decoding.arXiv preprint arXiv:2512.16229.
DMax: Aggressive Parallel Decoding for dLLMs Lopa: Scaling dllm inference via looka- head parallel decoding.arXiv preprint arXiv:2512.16229
Reference 89
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.070118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ecbb25a0-6515-4899-ae16-743bcb6f6f51 · outbound
This paper cites MMaDA: Multimodal Large Diffusion Language Models.
DMax: Aggressive Parallel Decoding for dLLMs MMaDA: Multimodal Large Diffusion Language Models
Reference 90
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.258886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f0427e98-cf85-4aaf-b175-39a6d27d54e9 · outbound
This paper cites Dream-vl & dream-vla: Open vision-language and vision-language-action models with diffusion language model backbone.
DMax: Aggressive Parallel Decoding for dLLMs Dream-vl & dream-vla: Open vision-language and vision-language-action models with diffusion language model backbone
Reference 91
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.130003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eee2e101-4c06-45fa-8d97-f79facde1dcc · outbound
This paper cites Dream 7B: Diffusion Large Language Models.
DMax: Aggressive Parallel Decoding for dLLMs Dream 7B: Diffusion Large Language Models
Reference 92
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.127061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e03ca79e-bfb9-4590-aace-1b5b9ca9ccac · outbound
This paper cites Diffusion models in text generation: a survey.PeerJ Computer Science, 10:e1905.
DMax: Aggressive Parallel Decoding for dLLMs Diffusion models in text generation: a survey.PeerJ Computer Science, 10:e1905
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.631142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 48172090-4760-4a73-96a6-c70627854ba7 · outbound
This paper cites LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning.
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 2026-08-04T06:34:03.388597+00:00.
Observation 43e8f6d8-cc14-4e0d-a36e-db703165fd4b · outbound
This paper cites Discrete diffusion in large language and multimodal models: A survey.
DMax: Aggressive Parallel Decoding for dLLMs Discrete diffusion in large language and multimodal models: A survey
Reference 95
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.250479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 956eb3e6-2eda-4cb2-a710-12a85889c4a2 · outbound
This paper cites Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding.
DMax: Aggressive Parallel Decoding for dLLMs Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding
Reference 96
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.107983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7defe5d8-8107-422b-a85e-edcfe990b19e · outbound
This paper cites Diffu- sionvl: Translating any autoregressive models into diffusion vision language models.
DMax: Aggressive Parallel Decoding for dLLMs Diffu- sionvl: Translating any autoregressive models into diffusion vision language models
Reference 97
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.060659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 08f5c689-bd03-40dd-9c88-9b1d753f4d36 · outbound
This paper cites A survey on parallel text generation: From parallel decoding to diffusion language models.
DMax: Aggressive Parallel Decoding for dLLMs A survey on parallel text generation: From parallel decoding to diffusion language models
Reference 98
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.104681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 95a4ab81-04a5-4b77-a1dd-ecf8a2403360 · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
DMax: Aggressive Parallel Decoding for dLLMs Adding conditional control to text-to-image diffusion models
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T16:47:40.633207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8abb7444-db64-4f6c-b9ed-9da0fa83d53b · outbound
This paper cites Corrective diffusion language models.
DMax: Aggressive Parallel Decoding for dLLMs Corrective diffusion language models
Reference 100
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.063620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation 284a7712-27d3-41e7-8778-07cb93c37838 · inbound
dMoE: dLLMs with Learnable Block Experts cites this paper.
dMoE: dLLMs with Learnable Block Experts DMax: Aggressive Parallel Decoding for dLLMs
Reference 64
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T22:52:45.153989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 24ef571f-d319-4e39-bf4b-70d92b7e5af1 · inbound
Continuous Language Diffusion as a Decoder-Interface Problem cites this paper.
Continuous Language Diffusion as a Decoder-Interface Problem DMax: Aggressive Parallel Decoding for dLLMs
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-06-27T18:31:07.709919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2ec974eb-81ec-4871-9095-a1e4ad9c6b57 · inbound
Re-evaluating Confidence Remasking in Masked Diffusion Language Models cites this paper.
Re-evaluating Confidence Remasking in Masked Diffusion Language Models DMax: Aggressive Parallel Decoding for dLLMs
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T09:17:48.806236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 78216845-bb41-413f-a6f3-63cd87cbf606 · inbound
Multi-Block Diffusion Language Models cites this paper.
Multi-Block Diffusion Language Models DMax: Aggressive Parallel Decoding for dLLMs
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T08:54:29.541466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0857fd2d-811e-491c-a9f5-6cf3a83b66e5 · inbound
Multi-Block Diffusion Language Models cites this paper.
Multi-Block Diffusion Language Models DMax: Aggressive Parallel Decoding for dLLMs
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T07:05:28.323711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.