Paper Citation Record · LEDGER

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 34 inbound Pith citation observations for arXiv:2509.06949.

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

pith.paper-citation-record.v1
2509.06949 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:56:05.289689Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:55:08.275883Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:09:37.869529Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy5
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2a8deb7-0d77-46e3-8cc2-b40afd9c582d · outbound

This paper cites Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.137183Z

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Observation a0c69cd2-ed52-462a-a63f-4119fccde7ff · outbound

This paper cites Bayesian Flow Networks.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Bayesian Flow Networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.155137Z

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Observation 4340bfb6-a48f-448a-b299-b24b837850f7 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Measuring Mathematical Problem Solving With the MATH Dataset

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.163682Z

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Observation 3ecaace8-23fc-4aec-b931-c867dd806537 · outbound

This paper cites V-STaR: Training Verifiers for Self-Taught Reasoners.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models V-STaR: Training Verifiers for Self-Taught Reasoners

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.172093Z

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Observation 4696d5f7-33fe-4330-bebf-3a806a2c5e95 · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.176325Z

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Observation 647c8c9a-07b9-4908-a2a5-e37755e586de · outbound

This paper cites INTELLECT-1 Technical Report.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models INTELLECT-1 Technical Report

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.180826Z

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Observation 1af97e70-eab5-4919-ad3d-1ca9916da1f9 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.184673Z

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Observation dee62877-ebc6-4646-bf44-2f95bb3a51bc · outbound

This paper cites DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.188630Z

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Observation c2c29eb9-6039-497f-ad79-1f82578792ca · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.192649Z

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Observation 1553b1ed-37af-4d21-b099-ebc5fba74812 · outbound

This paper cites Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.196551Z

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Observation 58fa5b87-43e5-4959-93d9-2960109e2dcf · outbound

This paper cites Mercury: Ultra-Fast Language Models Based on Diffusion.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Mercury: Ultra-Fast Language Models Based on Diffusion

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.200468Z

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Observation eac7d5c2-c31f-4839-9d9c-7fa83ddffec4 · outbound

This paper cites dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.208198Z

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Observation 713aadc2-9b0a-4e00-9321-87bea02c3a44 · outbound

This paper cites dKV-Cache: The Cache for Diffusion Language Models.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models dKV-Cache: The Cache for Diffusion Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.212046Z

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Observation 344c9699-b86a-4412-8cf5-2504ceb5806e · outbound

This paper cites American invitational mathematics examination (aime) 2024: Aime i and aime ii.https://artofproblemsolving.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models American invitational mathematics examination (aime) 2024: Aime i and aime ii.https://artofproblemsolving

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:56:05.688736Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c23a8d8-c948-4388-9fd0-1cde1550a3f6 · outbound

This paper cites Large Language Diffusion Models.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Large Language Diffusion Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.219936Z

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Observation e041e023-42bc-4b16-955d-fe8ba2f99933 · outbound

This paper cites Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.223869Z

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Observation c7da51dd-ee38-40f6-b685-b570142d84fb · outbound

This paper cites Proximal Policy Optimization Algorithms.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Proximal Policy Optimization Algorithms

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.227678Z

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Observation 20ffdb78-e96d-4f0c-89a0-4880255a19d7 · outbound

This paper cites Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.235351Z

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Observation 10d7909a-b5b7-4a44-a7c6-c5c7b603b704 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.239258Z

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Observation 371879e1-9ea8-4d9b-9777-8da6103f9564 · outbound

This paper cites Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.243293Z

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Observation 1e7076c7-a6bf-4429-82d7-f5fd28c52b27 · outbound

This paper cites LiveBench: A Challenging, Contamination-Limited LLM Benchmark.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models LiveBench: A Challenging, Contamination-Limited LLM Benchmark

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.247402Z

Source-reported events for the cited work

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Observation 64ae0e81-ac51-4fe7-a8eb-db8b1d41408f · outbound

This paper cites Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.251379Z

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Observation e7c5c330-352a-41e5-84c7-7db996ebe3fb · outbound

This paper cites Qwen2.5 Technical Report.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Qwen2.5 Technical Report

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.255337Z

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Observation 4a757482-b153-445f-95f8-21893f928c59 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.259169Z

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Observation 092e5c71-68a6-4abd-9416-eda5d18239af · outbound

This paper cites d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.264871Z

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Observation ebc6e2f6-74e0-4187-9043-3b8e52f5597b · outbound

This paper cites Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.268506Z

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Observation 8398fa86-6311-4e9b-a738-e71432edd0fa · outbound

This paper cites LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.272259Z

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Observation 348caf80-0e6b-4a87-bdbc-457912b5e8d1 · outbound

This paper cites an unresolved cited work.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.275754Z

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Observation 6fde3fa0-fa9b-48e8-b17a-cf899a2460d2 · outbound

This paper cites thinking.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models thinking

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:56:05.678021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 13e879c2-e038-4959-bf51-e42aa2909e15 · outbound

This paper cites With dynamic sampling, we use a threshold ofT= 0.9 and 𝑡𝑜𝑝-𝑘= 0(i.e., all tokens are kept).

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models With dynamic sampling, we use a threshold ofT= 0.9 and 𝑡𝑜𝑝-𝑘= 0(i.e., all tokens are kept)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:56:05.667340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b8909fce-c08c-4161-96bd-62086e9b73dc · outbound

This paper cites By default, we use the𝑘= 3estimator for KL.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models By default, we use the𝑘= 3estimator for KL

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:56:05.644687Z

Source-reported events for the cited work

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Observation e205da69-4093-43b4-91d4-11fe07d7323d · outbound

This paper cites We employ static decoding (one token per step) to enhance sampling quality (Gong et al., 2025), using the KV-cache.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models We employ static decoding (one token per step) to enhance sampling quality (Gong et al., 2025), using the KV-cache

Reference 1024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:56:05.656444Z

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Observation 0cee651a-fb40-4cc9-96d1-544b5c83be0c · outbound

This paper cites Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference

Reference 2019

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Observation 72e53bf8-eeb4-4667-a74c-e66d14e01e9b · outbound

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Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Unresolved cited work

Reference 2020

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Observation 4632660b-9346-483b-ab34-4df096a97b8c · outbound

This paper cites Continuous diffusion for categorical data.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Continuous diffusion for categorical data

Reference 2021

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Observation 5d8dbddb-7f74-404b-85a6-026e071ed9c2 · outbound

This paper cites URLhttps://www.science.org/ doi/10.1126/science.abq1158.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models URLhttps://www.science.org/ doi/10.1126/science.abq1158

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.204450Z

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Observation eb933275-dd44-4bfc-9760-1cc1a8216f72 · outbound

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

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2023

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Observation c30401bf-c138-45b5-9c2b-ee98055d6589 · outbound

This paper cites DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.150719Z

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Observation 19897308-9302-432a-b9e3-e32c4baf563e · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Training Verifiers to Solve Math Word Problems

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.141929Z

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Pith citing papers

Observation 37d9448c-a325-4dd9-863d-b4d6951ed9f1 · inbound

d2: Improving Reasoning in Diffusion Language Models via Trajectory Likelihood Estimation cites this paper.

d2: Improving Reasoning in Diffusion Language Models via Trajectory Likelihood Estimation Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T15:55:08.275883Z

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Observation 800ad2a0-9efb-41ed-8a19-d5fddc32a4b2 · inbound

Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization cites this paper.

Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 2016

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Observation bf21409b-dd4a-47fa-8e82-8af6c646eade · inbound

T$^\star$: Progressive Block Scaling for Masked Diffusion Language Models Through Trajectory Aware Reinforcement Learning cites this paper.

T$^\star$: Progressive Block Scaling for Masked Diffusion Language Models Through Trajectory Aware Reinforcement Learning Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 19

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Observation aac8d34a-7ed5-4678-9637-f856fbdece51 · inbound

The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models cites this paper.

The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T09:03:21.032525Z

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Observation f38b6adf-8604-426a-9c2a-df30ef681b13 · inbound

FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion cites this paper.

FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 7

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Observation f63daa97-6757-4967-94a6-cb94ef78eec6 · inbound

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels cites this paper.

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T00:05:27.122639Z

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Observation d1841513-5677-477d-bdea-07091b1cae5d · inbound

Improving Sampling for Masked Diffusion Models via Information Gain cites this paper.

Improving Sampling for Masked Diffusion Models via Information Gain Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 14

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Observation 8ab909dd-c28a-4395-b2ce-ff9ad4979467 · inbound

MemDLM: Memory-Enhanced DLM Training cites this paper.

MemDLM: Memory-Enhanced DLM Training Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 11

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Observation 3562d992-73ec-4496-a18f-477cfc4c09da · inbound

TAD: Temporal-Aware Trajectory Self-Distillation for Fast and Accurate Diffusion LLM cites this paper.

TAD: Temporal-Aware Trajectory Self-Distillation for Fast and Accurate Diffusion LLM Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 38

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Source-reported events for the cited work

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Observation d9e9c51b-a69c-4215-9b40-43c49577bfe8 · inbound

Relative Score Policy Optimization for Diffusion Language Models cites this paper.

Relative Score Policy Optimization for Diffusion Language Models Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:56:29.492965Z

Source-reported events for the cited work

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Observation dfda3f9e-43ee-47d2-9768-3826aefcf14a · inbound

Beyond Mode-Seeking RL: Trajectory-Balance Post-Training for Diffusion Language Models cites this paper.

Beyond Mode-Seeking RL: Trajectory-Balance Post-Training for Diffusion Language Models Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T04:59:45.335288Z

Source-reported events for the cited work

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Observation 9f028af6-4e13-4f28-b5e5-57169d77a00d · 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 Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T21:22:48.527344Z

Source-reported events for the cited work

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Observation 4931ca3e-ecc6-4b60-965e-d6d12050ac79 · inbound

Beyond Execution: Static-Analysis Rewards and Hint-Conditioned Diffusion RL for Code Generation cites this paper.

Beyond Execution: Static-Analysis Rewards and Hint-Conditioned Diffusion RL for Code Generation Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T14:08:21.253476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1980fc2b-a08b-45dd-8dd2-795e2127eb22 · inbound

Fast-dDrive: Efficient Block-Diffusion VLM for Autonomous Driving cites this paper.

Fast-dDrive: Efficient Block-Diffusion VLM for Autonomous Driving Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-25T05:06:38.500005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cddd6195-278a-4aed-a8f2-e4f8e212b7d3 · inbound

Fast-dDrive: Efficient Block-Diffusion VLM for Autonomous Driving cites this paper.

Fast-dDrive: Efficient Block-Diffusion VLM for Autonomous Driving Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T16:35:12.302334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 880e18e9-98e7-4abb-989f-c41f6c372eb3 · inbound

GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models cites this paper.

GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:53:16.365834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 811ec5d0-7205-45ae-890d-c281b6f09ed5 · 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 Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:06:48.439338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3ad659e2-0aa5-4651-ac0b-b97de6064121 · inbound

Data-Efficient Autoregressive-to-Diffusion Language Models via On-Policy Distillation cites this paper.

Data-Efficient Autoregressive-to-Diffusion Language Models via On-Policy Distillation Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:26:58.870004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 971d982d-f78e-4362-af0e-ad8f44d0ae51 · inbound

Back on Track: Aligning Rewards and States for Reasoning in Diffusion Large Language Models cites this paper.

Back on Track: Aligning Rewards and States for Reasoning in Diffusion Large Language Models Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:57:26.565951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fdc14c71-1bd0-4457-993a-67d7a2af8218 · inbound

Unified Energy for Invariant and Independent Decoding in Diffusion Language Models cites this paper.

Unified Energy for Invariant and Independent Decoding in Diffusion Language Models Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:07:29.846196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3cd60031-8723-4cb0-affd-42cf8408f7dd · inbound

Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models cites this paper.

Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T11:28:04.415986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b9a99040-ad11-47d1-892a-994b3be35b0b · inbound

VoidPadding: Let [VOID] Handle Padding in Masked Diffusion Language Models so that [EOS] Can Focus on Semantic Termination cites this paper.

VoidPadding: Let [VOID] Handle Padding in Masked Diffusion Language Models so that [EOS] Can Focus on Semantic Termination Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T21:18:59.434749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 62592c28-83d3-4cf7-9bac-dcbd43f62984 · inbound

Learning from the Self-future: On-policy Self-distillation for dLLMs cites this paper.

Learning from the Self-future: On-policy Self-distillation for dLLMs Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:28:55.657585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6de3e9a3-28d4-46cf-8bc3-e0ac677103c8 · inbound

HERALD: High-Throughput Block Diffusion LLM Serving via CPU-GPU Cooperative KV Cache Retrieval cites this paper.

HERALD: High-Throughput Block Diffusion LLM Serving via CPU-GPU Cooperative KV Cache Retrieval Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:09:37.871132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2c5da919-983f-4db6-8b96-c090504ae5e5 · inbound

HERALD: High-Throughput Block Diffusion LLM Serving via CPU-GPU Cooperative KV Cache Retrieval cites this paper.

HERALD: High-Throughput Block Diffusion LLM Serving via CPU-GPU Cooperative KV Cache Retrieval Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T04:42:24.053047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bb9e1f9-9190-4dc1-8486-a5d7db9ce489 · inbound

Diffusion-GR2: Diffusion Generative Reasoning Re-ranker cites this paper.

Diffusion-GR2: Diffusion Generative Reasoning Re-ranker Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T06:26:43.627379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 75236aba-2ff5-4c7b-a001-513c1cb908a1 · inbound

Diffusion-GR2: Diffusion Generative Reasoning Re-ranker cites this paper.

Diffusion-GR2: Diffusion Generative Reasoning Re-ranker Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T08:57:54.859566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2de102df-3f46-41d4-b9f5-ed8e3a9f5c7b · inbound

Diffusion-GR2: Diffusion Generative Reasoning Re-ranker cites this paper.

Diffusion-GR2: Diffusion Generative Reasoning Re-ranker Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T16:47:20.534676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a5f90f7-0a02-4f5b-87fb-ee8d3ad77b09 · inbound

Spec-AUF: Accept-Until-Fail Training under Train-Inference Misalignment for Masked Block Drafters cites this paper.

Spec-AUF: Accept-Until-Fail Training under Train-Inference Misalignment for Masked Block Drafters Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:18:22.462915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 32c74cee-776c-4044-b59d-3d4ef58b3e0f · inbound

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers cites this paper.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-11T13:03:39.236118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dbfbf5d-d8ae-4709-b6ff-7c4c11ad38b7 · inbound

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers cites this paper.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-14T16:21:05.570023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7c9d9ec-48c9-4d3a-a49b-485c2a6f1130 · inbound

Trace-Based On-Policy Distillation for Masked Diffusion Language Models cites this paper.

Trace-Based On-Policy Distillation for Masked Diffusion Language Models Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:10.696984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation add924f4-5a95-4b2d-a03c-b65f6aa1c66d · inbound

AdaFlash: Adaptive Speculative Decoding via On-Policy Distilled Diffusion Drafters cites this paper.

AdaFlash: Adaptive Speculative Decoding via On-Policy Distilled Diffusion Drafters Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T13:10:37.517405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2acfa3f7-fa86-4d7b-a71f-e7ace4c56226 · inbound

From Interface to Inference: Eliciting Any-Order Inference from Any-Order Models cites this paper.

From Interface to Inference: Eliciting Any-Order Inference from Any-Order Models Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T14:25:39.622262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.