Paper Citation Record · LEDGER

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

As of 23 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 66 inbound Pith citation observations for arXiv:2504.12216.

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

pith.paper-citation-record.v1
2504.12216 v2

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:17.599925Z

measured 146 of 146 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 66 of 66 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:55:08.290104Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:07:51.770001Z

Reference resolution

80 of 80 outbound references displayed

verified exact0
verified fuzzy15
unresolved65
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6381cf53-f991-4ef0-baa5-a36fd6f69ce0 · outbound

This paper cites GPT-4 Technical Report.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning GPT-4 Technical Report

Reference 1

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Observation 41c95ad5-111b-4485-81bc-33061805b29a · outbound

This paper cites Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 2

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Observation 297a88e9-9bd5-477d-98fe-c6c2d3802edc · outbound

This paper cites Arel’s sudoku generator.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Arel’s sudoku generator

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:18.917061Z

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Observation 86840d8a-b479-4822-9e47-bb87b75357c5 · outbound

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

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Reference 4

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Observation d43724d7-8f52-4286-9629-296b750408cb · outbound

This paper cites Structured denoising diffusion models in discrete state-spaces.Advances in neural information processing systems, 34:17981–17993, 2021.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Structured denoising diffusion models in discrete state-spaces.Advances in neural information processing systems, 34:17981–17993, 2021

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:17.202906Z

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Observation 3b7b51c4-446b-4aad-80fc-5994154c89ca · outbound

This paper cites Program Synthesis with Large Language Models.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Program Synthesis with Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:17.208315Z

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Observation 09327b48-f87b-4b02-bf27-8157489bdb79 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:17.214457Z

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Observation f4954ca3-bbd5-4b19-b915-7a7aa415bb3f · outbound

This paper cites Evaluating Large Language Models Trained on Code.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Evaluating Large Language Models Trained on Code

Reference 8

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Observation f95a0137-19cb-4991-950d-80541c9d01e1 · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 9

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Observation 97f0e569-eb63-4dda-bd71-a0c032d4eeac · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Training Verifiers to Solve Math Word Problems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:17.229774Z

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Observation d2cb5f6a-76de-4c37-b3de-309b0729e9a2 · outbound

This paper cites FlashAttention-2: Faster attention with better parallelism and work partitioning.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning FlashAttention-2: Faster attention with better parallelism and work partitioning

Reference 11

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Observation 9684b0a4-13b4-4edd-a669-0681b0806c74 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning BERT: Pre-training of deep bidirectional transformers for language understanding

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:18.880614Z

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Observation 82c4f524-003b-486f-9924-86f0bb52b705 · outbound

This paper cites The Llama 3 Herd of Models.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning The Llama 3 Herd of Models

Reference 13

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Observation aed3e921-9a1d-4c03-862b-3803fd15b4a2 · outbound

This paper cites RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:17.249805Z

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Observation 338619f6-e7ac-42a5-81ad-0fbd1ae6d17f · outbound

This paper cites Scaling diffusion language models via adaptation from autoregressive models.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Scaling diffusion language models via adaptation from autoregressive models

Reference 15

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Observation 47a4dae1-f08e-4f1b-9533-9045010858d8 · outbound

This paper cites Likelihood-based diffusion language models.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Likelihood-based diffusion language models

Reference 16

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Observation 6723fde0-02a3-4090-b4b3-83ca4bfc4281 · outbound

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

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 17

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Observation f96cbd07-d1ee-432f-a643-bb3b6a750f4c · outbound

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

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 18

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Source-reported events for the cited work

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Observation 0a042447-9413-4a95-80e9-4bc6460c3dbb · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 19

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Observation 6e943232-8d48-4f25-8838-9ed52417f60c · outbound

This paper cites Mercury: Ultra-fast language models based on diffusion.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Mercury: Ultra-fast language models based on diffusion

Reference 20

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Observation 8bc39d61-55e2-47c6-9d32-43e6ee4e52ba · outbound

This paper cites Numina- math.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Numina- math

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:18.815509Z

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Observation e0aff48d-c51c-4efb-a865-de44583af816 · outbound

This paper cites ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models

Reference 22

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Source-reported events for the cited work

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Observation 4662a7e3-c73c-4f43-ae7b-26fad1e489d1 · outbound

This paper cites Let's Verify Step by Step.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Let's Verify Step by Step

Reference 23

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Observation 466fcac1-6e1e-4234-90bb-51e8681ccaf1 · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Understanding R1-Zero-Like Training: A Critical Perspective

Reference 24

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Observation 20a14b4c-7804-4479-8283-411194561ef7 · outbound

This paper cites Decoupled Weight Decay Regularization.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Decoupled Weight Decay Regularization

Reference 25

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Observation a23b65a1-729d-40bd-96a5-207668787007 · outbound

This paper cites Discrete diffusion modeling by estimating the ratios of the data distribution.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Discrete diffusion modeling by estimating the ratios of the data distribution

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:18.799521Z

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Observation 04303571-57fc-47ca-9143-f04c6c1651cd · outbound

This paper cites Dynamic Scaling of Unit Tests for Code Reward Modeling.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Dynamic Scaling of Unit Tests for Code Reward Modeling

Reference 27

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Observation 1445326c-c63e-4601-b6c7-63e2906dc7c6 · outbound

This paper cites s1: Simple test-time scaling.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning s1: Simple test-time scaling

Reference 28

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Observation a3bd84b3-ae33-47d4-990d-bb405721cc1d · outbound

This paper cites Scaling up Masked Diffusion Models on Text.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Scaling up Masked Diffusion Models on Text

Reference 29

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Observation 3a713c4a-70f5-4a54-b072-aad0428fabd5 · outbound

This paper cites Large Language Diffusion Models.

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

Reference 30

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Observation dfd2c49f-b980-4ede-97db-647bb01a1c44 · outbound

This paper cites Learning to reason with llms, September 2024.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Learning to reason with llms, September 2024

Reference 31

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Observation 6b981c54-9763-40bd-b3ed-f1940f08ed31 · outbound

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

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data

Reference 32

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Observation fafa3030-0956-46d6-a3a2-0a8aaf9dbab7 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 33

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d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Tinyzero

Reference 34

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Observation 661f411b-b526-4cad-877a-8e35b2d83515 · outbound

This paper cites Openwebmath: An open dataset of high-quality mathematical web text, 2023.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Openwebmath: An open dataset of high-quality mathematical web text, 2023

Reference 35

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Observation 6df3e1f3-6268-4ba4-8396-cf36daeec210 · outbound

This paper cites Simple and effective masked diffusion language models.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Simple and effective masked diffusion language models

Reference 36

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Observation 5953b8ad-d60c-445f-9f4d-5a6865cacb27 · outbound

This paper cites Proximal Policy Optimization Algorithms.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 37

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Observation 035ddd47-a8d0-417b-92e9-b5b59e4ac685 · outbound

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

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 38

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Observation 760fa881-1ade-4537-9e13-5d4cf4cc6016 · outbound

This paper cites Simplified and generalized masked diffusion for discrete data.Advances in neural information processing systems, 37:103131–103167, 2024.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Simplified and generalized masked diffusion for discrete data.Advances in neural information processing systems, 37:103131–103167, 2024

Reference 39

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This paper cites Score-based generative modeling through stochastic differential equations.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Score-based generative modeling through stochastic differential equations

Reference 40

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d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 41

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Observation 2363d779-efe3-49f6-880d-434be0f2981b · outbound

This paper cites Open Thoughts.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Open Thoughts

Reference 42

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Observation 4ff689cb-05ca-4bf3-8696-3e672aa2b41a · outbound

This paper cites Trl: Transformer reinforce- ment learning.https://github.com/huggingface/trl, 2020.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Trl: Transformer reinforce- ment learning.https://github.com/huggingface/trl, 2020

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:18.701065Z

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Observation e7838f69-76e7-4f63-a88c-d82646333a98 · outbound

This paper cites Simple statistical gradient-following algorithms for connectionist reinforce- ment learning.Machine learning, 8:229–256, 1992.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Simple statistical gradient-following algorithms for connectionist reinforce- ment learning.Machine learning, 8:229–256, 1992

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:17.403290Z

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Observation 006348a4-84bb-4d76-a353-8d1b19d0fe37 · outbound

This paper cites KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:17.407801Z

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Observation de7b6fb5-3b49-4fca-a6c4-e5159b94a4ec · outbound

This paper cites Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:17.412697Z

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Observation ac86e258-44d0-4dd0-8dfd-b4ceb5f9ef82 · outbound

This paper cites Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:17.417620Z

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Observation a3fd64f8-25e1-4b64-8c27-bc7da95116f0 · outbound

This paper cites Dream 7b, 2025.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Dream 7b, 2025

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:18.673081Z

Source-reported events for the cited work

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Observation 4fea2688-ab01-4b89-9261-10e8d52d5b40 · outbound

This paper cites LIMO: Less is More for Reasoning.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning LIMO: Less is More for Reasoning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:17.427252Z

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Observation 5b9c8bac-0899-4a33-8d84-64664c99f524 · outbound

This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:17.432213Z

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Observation e1f7787c-cd72-4985-9064-bf3516b25a7c · outbound

This paper cites Fine-tuning discrete diffusion models with policy gradient methods.arXiv preprint arXiv:2502.01384, 2025.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Fine-tuning discrete diffusion models with policy gradient methods.arXiv preprint arXiv:2502.01384, 2025

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:17.437285Z

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Observation ddaa17c0-fd48-41e8-9179-b7e3d98c1fcc · outbound

This paper cites Lima: less is more for alignment.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Lima: less is more for alignment

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:18.656973Z

Source-reported events for the cited work

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Observation 620bcf72-3eca-4eaa-a1b9-eca5506ead84 · outbound

This paper cites Simply put, at any timestep, the probability that a token transitions to the masked state isαt.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Simply put, at any timestep, the probability that a token transitions to the masked state isαt

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:18.640770Z

Source-reported events for the cited work

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Observation e43718b8-34ed-4969-9c56-8696e10cb7ed · outbound

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d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.623968Z

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Observation 54dce162-5be9-4a55-9e50-9c7dd6442e6b · outbound

This paper cites Let’s go through each step in detail:.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Let’s go through each step in detail:

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:18.607016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f6819624-3b62-44c0-8722-202622576a3f · outbound

This paper cites Therefore, the number of stars in the 5-star rows is: 76−36 = 40.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Therefore, the number of stars in the 5-star rows is: 76−36 = 40

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:18.544732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 60a07723-08c0-44e8-ab7a-a155ac847e62 · outbound

This paper cites Two-thirds of the loaves are sold in the morning and half of what is left is sold equally in the afternoon and evening.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Two-thirds of the loaves are sold in the morning and half of what is left is sold equally in the afternoon and evening

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:18.527411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3b232858-f673-440d-8c7a-6356dfc00fde · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.511792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c28e7d81-8807-4d40-9c5b-8dc9a7506c50 · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.495949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d8b6e3d9-3d76-4eb6-a828-78d70510cfed · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.480091Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 819e5a0b-b8c3-4554-8fac-d74203d951a7 · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.464856Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3a68ef4c-529b-4f1b-bb3a-dac5288a4b99 · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.447629Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f3288336-2e3a-403b-a3ba-1e79e57e628c · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.431131Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fd5652e6-e659-4de5-8fca-7949b9e7370e · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.415592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 05fcd3f9-9214-4025-b1a1-26c600c8fe76 · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.400806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ca99e707-a3a3-49fe-8d35-44e004ab2627 · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.385631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c804e250-1bd9-4957-8d88-38c0ad831053 · outbound

This paper cites Next, we need the total number of stars on the flag, which is 76.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Next, we need the total number of stars on the flag, which is 76

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:18.368872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 590f105d-e73d-409c-a87f-b872fa43e158 · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.353312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 57d2df92-0106-42d4-8983-c2cc3487f889 · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.591999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1ad2f604-4294-4761-9a30-1e3f4d331141 · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.576072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e71d0a4b-3982-4dec-b272-88d78432cd21 · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.560749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a9a5635-4bd2-4ff5-acd8-d4deb34c1af7 · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.337290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4b3e439f-69bc-46a6-a072-734a5d1f957e · outbound

This paper cites < /reasoning><answer>8 < /answer> 25 Question:Jennifer’s dog has 8 puppies 3 of which have spots.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning < /reasoning><answer>8 < /answer> 25 Question:Jennifer’s dog has 8 puppies 3 of which have spots

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:18.321652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e65c4cc1-da41-42e3-8f42-7133761336cc · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.305144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 74015850-e3e6-49d2-82d1-ef9e212f4e22 · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.287910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation afd7c678-33d7-4ed3-a64a-4d893462c67b · outbound

This paper cites First, let’s find the total number of puppies from both dogs: - Jennifer’s dog has 8 puppies.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning First, let’s find the total number of puppies from both dogs: - Jennifer’s dog has 8 puppies

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:18.269527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fb592529-9f81-4b4f-ab33-307816770739 · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.251960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 431cc05e-a8d9-434c-81b1-d78e4fc21042 · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.235546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2bc6f677-a7b4-4993-9001-91417240d2e3 · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.219592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 69f646d1-b3a3-4ebe-b22a-979957f1ad50 · outbound

This paper cites an unresolved cited work.

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:18.203697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation c273ed96-ece8-4163-bc0c-c5b15126e428 · inbound

Decomposing Elements of Problem Solving: What "Math" Does RL Teach? cites this paper.

Decomposing Elements of Problem Solving: What "Math" Does RL Teach? d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:27.735188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b9288bf-20e8-44f4-9836-6d28f7abcf2e · inbound

SUDER: Self-Improving Unified Large Multimodal Models for Understanding and Generation with Dual Self-Rewards cites this paper.

SUDER: Self-Improving Unified Large Multimodal Models for Understanding and Generation with Dual Self-Rewards d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:27.225291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2518048-a2e4-4371-aa52-f76b644542a7 · inbound

On a few pitfalls in KL divergence gradient estimation for RL cites this paper.

On a few pitfalls in KL divergence gradient estimation for RL d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:38.908197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3edbd26d-a14d-4fcf-a186-7929a40f4206 · inbound

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

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:33.512057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19a8724e-48b8-41ce-90f1-fbb4acafa6b7 · inbound

A Survey on Latent Reasoning cites this paper.

A Survey on Latent Reasoning d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 138

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:34.187851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d18a6d1-3a90-43f4-9b80-b01d93858697 · inbound

Review, Remask, Refine (R3): Process-Guided Block Diffusion for Text Generation cites this paper.

Review, Remask, Refine (R3): Process-Guided Block Diffusion for Text Generation d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:30:03.962801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb227c3a-102e-453a-a558-62853cc6711d · inbound

A Survey on Diffusion Language Models cites this paper.

A Survey on Diffusion Language Models d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T20:15:16.982709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 045f5a3e-1a77-486e-ad78-38fc1ad5c844 · inbound

Any-Order Flexible Length Masked Diffusion cites this paper.

Any-Order Flexible Length Masked Diffusion d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T13:20:05.318712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9df192f7-4d0f-4ebf-a9c7-98072d348ba8 · inbound

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute cites this paper.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T13:52:07.560114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models cites this paper.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 649721c8-ba34-491e-b8c5-74c4f6654a65 · inbound

Inpainting-Guided Policy Optimization for Diffusion Large Language Models cites this paper.

Inpainting-Guided Policy Optimization for Diffusion Large Language Models d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:47.060284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 746db5cb-acfe-4e8f-8f4b-6893ed5b4162 · inbound

GIFT: Guided Importance-Aware Fine-Tuning for Diffusion Language Models cites this paper.

GIFT: Guided Importance-Aware Fine-Tuning for Diffusion Language Models d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T14:51:30.225921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aba1a0ea-dabe-4e8d-9a6c-1e472fb10393 · 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 d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T15:55:08.290104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95c45515-7d88-4f4f-81ad-aeb64f48c3e1 · inbound

Error Analysis of Discrete Flow with Generator Matching cites this paper.

Error Analysis of Discrete Flow with Generator Matching d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:39.024676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5de9092-09f2-49dc-a7be-d917e547756a · inbound

Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching cites this paper.

Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:16:27.799777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bb894fbc-d183-45f0-9476-45dd4fe5b6fe · inbound

Simple Policy Gradients for Reasoning with Diffusion Language Models cites this paper.

Simple Policy Gradients for Reasoning with Diffusion Language Models d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T11:38:54.121332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 135b062e-3761-46b2-b702-32adbdd337b1 · inbound

ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs cites this paper.

ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T11:28:11.932474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5be6dcc2-60a7-4261-bfd7-ba2f1b8900cf · inbound

Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models cites this paper.

Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T10:10:10.239795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95802dca-1915-49bf-95e9-75e2fdfa9e6f · 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 d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:31:19.324196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c8d58ff0-d20e-4ca6-8362-27c7ea08720f · 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 d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T09:03:21.904756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 008922e3-fc70-4ff2-8602-241dee5f854f · 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 d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T08:14:37.405676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 829c4aa9-9e56-4e5a-9a5a-9f4620b988f6 · inbound

Tuning the Implicit Regularizer of Masked Diffusion Language Models: Enhancing Generalization via Insights from $k$-Parity cites this paper.

Tuning the Implicit Regularizer of Masked Diffusion Language Models: Enhancing Generalization via Insights from $k$-Parity d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T15:47:07.940876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01373c77-85f0-4e11-9502-b8aea1c6ff96 · inbound

Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models cites this paper.

Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T23:50:38.177661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cbe0675-721d-4b0f-9d84-b9fc1fab8da3 · inbound

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning cites this paper.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.646818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecd4746f-30f2-48ea-94a7-a15f33f490b2 · inbound

LogicDiff: Logic-Guided Denoising Improves Zero-Shot Reasoning in Masked Diffusion Language Models cites this paper.

LogicDiff: Logic-Guided Denoising Improves Zero-Shot Reasoning in Masked Diffusion Language Models d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:48:25.026364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ef021ff4-084b-4518-9e04-33c8f5f32563 · inbound

Discrete Flow Matching Policy Optimization cites this paper.

Discrete Flow Matching Policy Optimization d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:40:51.948250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bcb2d663-7f03-4a2c-8b0a-599043483cea · inbound

DMax: Aggressive Parallel Decoding for dLLMs cites this paper.

DMax: Aggressive Parallel Decoding for dLLMs d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:45:55.662895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bf78d367-87dc-4715-9df8-702544f8ccea · inbound

DMax: Aggressive Parallel Decoding for dLLMs cites this paper.

DMax: Aggressive Parallel Decoding for dLLMs d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:47:40.268262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 91ab6570-e043-4ba3-a0cf-71800b2e7de7 · inbound

CAGenMol: Condition-Aware Diffusion Language Model for Goal-Directed Molecular Generation cites this paper.

CAGenMol: Condition-Aware Diffusion Language Model for Goal-Directed Molecular Generation d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 9

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T09:46:08.304715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e8e19a53-fed5-49ae-8e60-3657a4156917 · inbound

Break the Block: Dynamic-size Reasoning Blocks for Diffusion Large Language Models via Monotonic Entropy Descent with Reinforcement Learning cites this paper.

Break the Block: Dynamic-size Reasoning Blocks for Diffusion Large Language Models via Monotonic Entropy Descent with Reinforcement Learning d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:39.695201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d324d6d3-6529-43b6-a5cf-bef1d948b33e · inbound

Break the Block: Dynamic-size Reasoning Blocks for Diffusion Large Language Models via Monotonic Entropy Descent with Reinforcement Learning cites this paper.

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:25:10.342986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b492a0da-1eb2-442e-9149-8b828358f3d6 · inbound

ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving cites this paper.

ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 127

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:26:08.231181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aa7ebc25-e541-4844-a4ba-e03d2b854d86 · inbound

ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving cites this paper.

ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 127

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:52:05.402267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 71595bb9-060a-46a1-88b4-2766891b5934 · inbound

Continuous Latent Diffusion Language Model cites this paper.

Continuous Latent Diffusion Language Model d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:11:11.027880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 13fbf4fb-6809-4a55-889c-425d04698e0b · inbound

dFlowGRPO: Rate-Aware Policy Optimization for Discrete Flow Models cites this paper.

dFlowGRPO: Rate-Aware Policy Optimization for Discrete Flow Models d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:51:29.785564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b2fa284c-7fbb-4230-b0b8-81281968b923 · 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 d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:46:25.829169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8055c6b4-1250-471a-bf0a-91d9a373dc56 · inbound

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

Relative Score Policy Optimization for Diffusion Language Models d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 102

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:56:29.654677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c5e585f8-aaf9-4ed1-85a4-b7b2fe0f681b · inbound

Self-Distilled Trajectory-Aware Boltzmann Modeling: Bridging the Training-Inference Discrepancy in Diffusion Language Models cites this paper.

Self-Distilled Trajectory-Aware Boltzmann Modeling: Bridging the Training-Inference Discrepancy in Diffusion Language Models d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:52:22.009936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c30e4d21-cab1-445d-8072-e61f546b1df7 · inbound

Self-Distilled Trajectory-Aware Boltzmann Modeling: Bridging the Training-Inference Discrepancy in Diffusion Language Models cites this paper.

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:03:50.842115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2ed526fd-673b-4177-b9cd-5df196a68392 · inbound

AIS: Adaptive Importance Sampling for Quantized RL cites this paper.

AIS: Adaptive Importance Sampling for Quantized RL d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T03:14:52.710028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 045966a3-6947-4a08-be20-0d284b7cb4ce · 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 d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:22:48.533291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 82863feb-1c3b-4a03-8c7d-2eac0d71b230 · inbound

Roll Out and Roll Back: Diffusion LLMs are Their Own Efficiency Teachers cites this paper.

Roll Out and Roll Back: Diffusion LLMs are Their Own Efficiency Teachers d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:42:46.130915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 85089373-950e-48ae-a8f3-c1b02776d4e3 · 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 d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:08:21.234593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7825b23-071e-4e58-bd64-9b5d22ed667b · inbound

Elastic-dLLM: Position Preserving Context Compression and Augmentation of Diffusion LLMs cites this paper.

Elastic-dLLM: Position Preserving Context Compression and Augmentation of Diffusion LLMs d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:13:17.890954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aa982a74-efe6-4c88-be30-2ad996f62d48 · inbound

Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion cites this paper.

Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:30:22.378669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b96407f0-617f-4c14-8342-e1a05269d207 · inbound

Reinforcement Learning from Denoising Feedback cites this paper.

Reinforcement Learning from Denoising Feedback d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:23:58.875184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation effaf0ab-56ba-4012-9596-4bedd1f16d6f · 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 d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:53:16.405730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d901172b-d729-4545-af30-2f793b5f2ce2 · inbound

Efficient Diffusion LLMs via Temporal-Spatial Parallel Decoding and Confidence Extrapolation cites this paper.

Efficient Diffusion LLMs via Temporal-Spatial Parallel Decoding and Confidence Extrapolation d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:52:44.924892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e39905c6-0a80-403e-992b-40487d217b6b · inbound

dMoE: dLLMs with Learnable Block Experts cites this paper.

dMoE: dLLMs with Learnable Block Experts d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:52:45.087047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a1c0a56b-9b80-4d2b-bd89-5292295bea58 · inbound

MaskForge: Structure-Aware Adaptive Attacks for Jailbreaking Diffusion Large Language Models cites this paper.

MaskForge: Structure-Aware Adaptive Attacks for Jailbreaking Diffusion Large Language Models d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:56:24.449776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fdccb9c1-9013-4bf4-ba2b-1b9e00b442f7 · 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 d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:06:48.406548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ea81465-96df-4296-bbc6-3c48fb0fb2c7 · 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 d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:57:26.600633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ed32f20b-8433-4803-96e0-2d4069d3355d · inbound

Re-evaluating Confidence Remasking in Masked Diffusion Language Models cites this paper.

Re-evaluating Confidence Remasking in Masked Diffusion Language Models d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-03T09:17:48.817887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d2cde3bc-a340-434b-89c0-e95e3c97ec0c · 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 d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T11:28:04.442327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0172605a-8bac-4417-a5f9-dfbc82e844bb · inbound

DiPOD: Diffusion Policy Optimization without Drifting Apart cites this paper.

DiPOD: Diffusion Policy Optimization without Drifting Apart d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:18:22.953989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 885ff215-a1bb-4c53-9e2d-76a187028fef · 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 d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:28:55.657214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5da9227b-31af-4665-9fb3-b6ef591817f8 · inbound

JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree Drafting cites this paper.

JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree Drafting d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:18:59.324057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b93a533f-2f28-471f-9e81-03cdc95ea587 · inbound

Improved Large Language Diffusion Models cites this paper.

Improved Large Language Diffusion Models d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:20:05.604715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 34db73ff-5bea-4beb-9c8e-d6ebdfcdd98e · inbound

TACG: Trajectory-Aware Commit Gating for Diffusion Language Model Decoding cites this paper.

TACG: Trajectory-Aware Commit Gating for Diffusion Language Model Decoding d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 51

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 d68e3dd8-7361-4025-8fea-4b6ebb70d01c · 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 d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-07-11T03:07:51.796395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e5d9661a-e64f-4502-905a-142f127982ae · inbound

Concurrent Image Understanding and Generation: Self-Correcting Coupled Markov Jump Processes cites this paper.

Concurrent Image Understanding and Generation: Self-Correcting Coupled Markov Jump Processes d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-02T06:02:13.359209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f14f2bef-06a2-4359-881b-ba19f5f745c7 · inbound

Hierarchical Domain Generalization cites this paper.

Hierarchical Domain Generalization d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T20:54:03.441397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1fdbb62-14a8-4a64-b749-caff434a2fec · inbound

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

Trace-Based On-Policy Distillation for Masked Diffusion Language Models d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:10.653622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9519f0b2-c9e8-42f2-af52-d98a6fc5a3be · 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 d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T14:25:39.226894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e433f52-9bbe-44e5-b545-88135a8b4f41 · inbound

Escaping Confidence Trap: Evolutionary Decoding for Mathematical Reasoning in Diffusion LLMs cites this paper.

Escaping Confidence Trap: Evolutionary Decoding for Mathematical Reasoning in Diffusion LLMs d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T00:36:13.011336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcbaa409-4c60-4516-91f6-2a0c9657e95d · inbound

AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling cites this paper.

AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 67

Resolution: malformed identifier; no resolver link, observed 2026-08-04T03:25:21.230481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.