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Paper Citation Record · LEDGER

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

As of 14 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 70 inbound Pith citation observations for arXiv:2506.20639.

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

pith.paper-citation-record.v1
2506.20639 v2

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:52:33.541150Z

measured 154 of 154 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 70 of 70 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:06:07.719627Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

84 of 84 outbound references displayed

  • verified exact1
  • verified fuzzy22
  • unresolved60
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 35b4920e-d56c-441c-81db-4ba07203416a · outbound

This paper cites The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning

Reference 1

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no resolver link, observed 2026-08-06T22:52:33.288724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.288724Z digest=sha256:a1f4c717cf73fced6007109bd6c2351f03ba59797e55e0dbb25344ed9001e42d

Observation 1a7c8bc8-64f7-43b7-8049-887ba289edd3 · outbound

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

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 2

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no resolver link, observed 2026-08-06T22:52:33.293218Z

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source=arxiv_source observed=2026-08-06T22:52:33.293218Z digest=sha256:7f683f7f852aa5ce7b0e801eaefe4ee2b7a676d06f0de7780e5e1a4b5301f4db

Observation aecdd066-c2de-480c-8521-39710ecfa293 · outbound

This paper cites Polaris: A post-training recipe for scaling reinforcement learning on advanced reasoning models, 2025.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Polaris: A post-training recipe for scaling reinforcement learning on advanced reasoning models, 2025

Reference 3

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no resolver link, observed 2026-08-06T22:52:33.297086Z

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source=arxiv_source observed=2026-08-06T22:52:33.297086Z digest=sha256:52134c46444e0087229264a924659d94441cbaa7720997d1319bd84d8abff9e9

Observation db42ccc0-7a3e-45d2-a676-876405df1bb0 · outbound

This paper cites Block diffusion: Interpolating between autoregressive and diffusion language models.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Block diffusion: Interpolating between autoregressive and diffusion language models

Reference 4

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no resolver link, observed 2026-08-06T22:52:33.300613Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T22:52:33.300613Z digest=sha256:f08f3fde06259387eb93ded6b7bd90aa6b6c8ea7e934b88e0e62db8e0aec9174

Observation bc8505a4-762c-4656-a3d0-7578fa208f87 · outbound

This paper cites Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg

Reference 5

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source=arxiv_source observed=2026-08-06T22:52:33.304166Z digest=sha256:c32c93b6bda76e3beee550294ccb00a747014ce2291870f5b3f3066d6c56aa94

Observation 95d22bea-d38d-49d6-91e4-f163730094c4 · outbound

This paper cites Program Synthesis with Large Language Models.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Program Synthesis with Large Language Models

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.307636Z digest=sha256:00e87a75eb8ae359def40f0ea97bb734502e3fe814236768225e5942dd0cfd27

Observation e43b4bae-1179-43e7-b106-eafa3daed8b8 · outbound

This paper cites Llama-nemotron: Efficient reasoning models.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Llama-nemotron: Efficient reasoning models

Reference 7

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source=arxiv_source observed=2026-08-06T22:52:33.311386Z digest=sha256:8f11e5e274ac97eebbe50192511bdfb47115ad9750d52cba5842f576a0f08aee

Observation c368e680-46ab-4aac-88c0-91e137cfbded · outbound

This paper cites Training diffusion models with reinforcement learning.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Training diffusion models with reinforcement learning

Reference 8

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source=arxiv_source observed=2026-08-06T22:52:33.314147Z digest=sha256:b2550dc0cc3d2eb05e3a2644278800721d6d28e0395f0532cc12531229922dd2

Observation 943b9cfb-15b4-4cf3-952c-c4a21ecb73af · outbound

This paper cites an unresolved cited work.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Unresolved cited work

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.317241Z digest=sha256:9cc7923c0022aafc3c328b9c8fda0918f7fbab04f99a51acae69c31678dc2f7c

Observation 22993bdf-2d4b-4974-9151-774c00f752e4 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Evaluating Large Language Models Trained on Code

Reference 10

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no resolver link, observed 2026-08-06T22:52:33.320370Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.320370Z digest=sha256:6b51f57fa324e3db9a15c0dbb4d03722bbb599df188a7be32384bce519a22adc

Observation 342f4fc3-af26-4517-bd75-cb3d47f0ba3e · outbound

This paper cites an unresolved cited work.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.323542Z digest=sha256:44ecd5ebb72c60f972629d45ec008881e8ef95232a16bd279b7c1d110a01f982

Observation 90b71b4e-1f47-4617-a2d8-91aff242c4b8 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Training Verifiers to Solve Math Word Problems

Reference 12

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source=arxiv_source observed=2026-08-06T22:52:33.326508Z digest=sha256:4bcf5901cedccf1ec1ad1b6b4ad3d85b884ae81fa78810e6d8adb84bc9ed9b1c

Observation a82f1126-2343-42f4-9861-ee0dd95ad312 · outbound

This paper cites The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Reference 13

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no resolver link, observed 2026-08-06T22:52:33.329691Z

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source=arxiv_source observed=2026-08-06T22:52:33.329691Z digest=sha256:618a7783519795de49fe8d633158c20b99c449f7faa45b14e9a7b86b71059eb9

Observation 65d7eb15-acb3-4dc9-9ab2-76968a7f49e8 · outbound

This paper cites Gemini diffusion.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Gemini diffusion

Reference 14

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no resolver link, observed 2026-08-06T22:52:33.332868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.332868Z digest=sha256:553601434d0af51ca447b4c9892eeb5343f8ee98116b1a0c245a7384937e10f9

Observation d180f60a-efde-4ac2-a192-54c4c558b518 · outbound

This paper cites D iffu S eq-v2: Bridging discrete and continuous text spaces for accelerated S eq2 S eq diffusion models.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation D iffu S eq-v2: Bridging discrete and continuous text spaces for accelerated S eq2 S eq diffusion models

Reference 15

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no resolver link, observed 2026-08-06T22:52:33.335623Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.335623Z digest=sha256:8d5907fe7dbe129cee42a66b2e68f4bafe2daa124e13374a5c52f8f370647c2f

Observation 4953ae13-3f41-4590-9e9a-56df3d28527d · outbound

This paper cites Diffuseq: Sequence to sequence text generation with diffusion models.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Diffuseq: Sequence to sequence text generation with diffusion models

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.782583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.338577Z digest=sha256:ddf44f5deb6aa0b2c9ddd735a9fa7e20679c10fb249daf1ce61e9e26abfa6939

Observation f4c91171-2ca6-4a4d-bb9d-7d08a93b87ff · outbound

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

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Scaling diffusion language models via adaptation from autoregressive models

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.773226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.341429Z digest=sha256:486b91d8a5a31e8e7de89454360287e0bff13b9a3c032ef06ebe34c189801ed4

Observation 349c6bd8-6914-43ae-8f08-df82f8e15abd · outbound

This paper cites When Attention Sink Emerges in Language Models: An Empirical View.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation When Attention Sink Emerges in Language Models: An Empirical View

Reference 18

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source=arxiv_source observed=2026-08-06T22:52:33.344510Z digest=sha256:f8c65f30ab0a5db9f0273891b411f08059c51d7ad9ead744e955d810e05de262

Observation 2c1fff0f-d1a1-47dd-bab4-7c82de6815f0 · outbound

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

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 19

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source=arxiv_source observed=2026-08-06T22:52:33.347685Z digest=sha256:00e364de437b8aa3d6c7e1c57062f77f021f9e2b5a66973d10af1528910a83e2

Observation 83ecd04e-edea-41be-8424-c85991e71397 · outbound

This paper cites General principles of antithetic variates.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation General principles of antithetic variates

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.764052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.350467Z digest=sha256:40b7ba75cd0c4579aa5c3b36758a7c5319a1f7df5b36f7512bb894411acb563d

Observation 46984c64-d22f-475e-98b5-00f3ceb6a2aa · outbound

This paper cites A new monte carlo technique: antithetic variates.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation A new monte carlo technique: antithetic variates

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.754974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.353338Z digest=sha256:cf56bd0768fa08c83260c8870e0297a957b9c9185e47619237366eafb6bb09f4

Observation f37fd0fd-7dec-4715-a760-1ac361c8c057 · outbound

This paper cites SSD - LM : Semi-autoregressive simplex-based diffusion language model for text generation and modular control.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation SSD - LM : Semi-autoregressive simplex-based diffusion language model for text generation and modular control

Reference 22

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no resolver link, observed 2026-08-06T22:52:33.356226Z

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source=arxiv_source observed=2026-08-06T22:52:33.356226Z digest=sha256:b0b57e1105bc8b05a15f68cf16c4a11095b4a5650401cf69dc8fcc034bfa1312

Observation 77b63564-c539-494c-958a-4e15c048b751 · outbound

This paper cites Denoising diffusion probabilistic models.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Denoising diffusion probabilistic models

Reference 23

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raw_fallback, observed 2026-08-06T22:52:34.745796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.358910Z digest=sha256:a006e882c76b0c68dba81a76dca06f205b5ea2cb2693117ec240941a72e1eb63

Observation 8e7730d0-1cf3-4842-99fc-86300987cd1f · outbound

This paper cites Argmax flows and multinomial diffusion: Learning categorical distributions.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Argmax flows and multinomial diffusion: Learning categorical distributions

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.736633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.361521Z digest=sha256:03519bdde2d655704a5489326f550342b36a4c2872fd4c30a010b510e6453a4b

Observation 01f4f8b2-ac0b-41fb-8bb1-20ea026bc99a · outbound

This paper cites Abdelfattah, Jae-sun Seo, Zhiru Zhang, and Udit Gupta.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Abdelfattah, Jae-sun Seo, Zhiru Zhang, and Udit Gupta

Reference 25

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source=arxiv_source observed=2026-08-06T22:52:33.364823Z digest=sha256:c16b94ebcfd40d7b1056e3508640df815057b6ca7148538a98edae05d6e8d333

Observation dfd7f65e-d5ef-44aa-81d4-d2841c7e5952 · outbound

This paper cites OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models

Reference 26

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source=arxiv_source observed=2026-08-06T22:52:33.367701Z digest=sha256:5f4680b472d973e5890bee852ec71573bcfbcf76ddea9e3d9c81b785c3b625ea

Observation e9c52383-826d-42e8-836c-14c0c978da78 · outbound

This paper cites Reinforcing the diffusion chain of lateral thought with diffusion language models.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Reinforcing the diffusion chain of lateral thought with diffusion language models

Reference 27

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no resolver link, observed 2026-08-06T22:52:33.370496Z

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source=arxiv_source observed=2026-08-06T22:52:33.370496Z digest=sha256:3d2a3fea35b7a28e0ac8e7c3c1b52bbf29c120b30c2b119e0d82664ff79502ca

Observation aa61b1f1-b68c-4c8c-8308-fe3e1e61e0ed · outbound

This paper cites Qwen2.5-Coder Technical Report.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Qwen2.5-Coder Technical Report

Reference 28

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no resolver link, observed 2026-08-06T22:52:33.373077Z

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source=arxiv_source observed=2026-08-06T22:52:33.373077Z digest=sha256:c3d95c5b991e9f1f3daae73612bfe865f38bc992e9775094bb7d0e27459baaac

Observation b87197d5-73d9-4246-89e8-b0125b67f252 · outbound

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

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Mercury: Ultra-fast language models based on diffusion

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.726726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.375914Z digest=sha256:329bed21a294af31b9ece09de98e322b02ba76d71ec60a52ebebcf9578e96514

Observation d984a48f-fe14-4d49-a2c2-c1caad56a6a8 · outbound

This paper cites Buy 4 reinforce samples, get a baseline for free! DeepRLStructPred Workshop ICLR, 2019.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Buy 4 reinforce samples, get a baseline for free! DeepRLStructPred Workshop ICLR, 2019

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.717742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.378943Z digest=sha256:6e1fa0f5577467f410733500f39600fb69ac12cb821c7ef29679a2b6bd732584

Observation f2285d3e-0bc7-49d8-b305-5e4eb7a8fec6 · outbound

This paper cites LaViDa: A Large Diffusion Language Model for Multimodal Understanding.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation LaViDa: A Large Diffusion Language Model for Multimodal Understanding

Reference 31

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source=arxiv_source observed=2026-08-06T22:52:33.381401Z digest=sha256:2ad37582b8c3bac452cc843880229f9b8c3f1dc2938810d9f634d1b6beaa854e

Observation ae8fc883-1c2e-4312-8073-448980397a3e · outbound

This paper cites Hashimoto.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Hashimoto

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.708448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.384328Z digest=sha256:29aa40d59aaa7df0e8bdede7a642b0562b57768cb652db32c74f2109082e5e28

Observation 41d95bfc-7167-4e85-9681-9cb8f0143687 · outbound

This paper cites Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.699134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.387043Z digest=sha256:b9f9a91f65f19612dcf0fcc8007214f3766e188b02a12ba4da686b12c1a5c8cc

Observation f20fba18-42b1-4061-b4f8-a82e513065ec · outbound

This paper cites ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Reference 34

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no resolver link, observed 2026-08-06T22:52:33.390202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.390202Z digest=sha256:b1aa9f22a7ba27352dc98ba7f8dc656ad010a30b5c3b74925a1a3b20c58a7900

Observation 91969777-dccf-47b9-aeeb-a05632efa01e · outbound

This paper cites dllm-cache: Accelerating diffusion large language models with adaptive caching, 2025 b.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation dllm-cache: Accelerating diffusion large language models with adaptive caching, 2025 b

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.689796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.393079Z digest=sha256:f61dea54e17f3e5b54f77a077595d8059a290e2cb1c3a6be7bd4c7bbdf7d7699

Observation e7e64ebd-a01c-41a6-b536-78b606eefee0 · outbound

This paper cites AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy

Reference 36

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no resolver link, observed 2026-08-06T22:52:33.396332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.396332Z digest=sha256:3979add6708b42baa42c134455527a3caea383b0530a07509257408ddbe396df

Observation 061c17ac-9c16-4e18-8ddd-e19a38bdf87e · outbound

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

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Discrete diffusion language modeling by estimating the ratios of the data distribution

Reference 37

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no resolver link, observed 2026-08-06T22:52:33.399507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.399507Z digest=sha256:3ea2200bf2846460d3084ce83e734e8cfc4de2f7078e172ec88298b7bb2fafdd

Observation 788070b1-0934-4fbf-9194-823c3dadc4b9 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation StarCoder 2 and The Stack v2: The Next Generation

Reference 38

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unresolved
no resolver link, observed 2026-08-06T22:52:33.402266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.402266Z digest=sha256:971187d8f51838f848dedff8087e190d3d5089022befedcdc5632b77d00c8e77

Observation 6941bb93-5eb0-4e45-b145-5b5565d57b65 · outbound

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

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation dKV-Cache: The Cache for Diffusion Language Models

Reference 39

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unresolved
no resolver link, observed 2026-08-06T22:52:33.405224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.405224Z digest=sha256:4fc06e3567841ec12f8cbf637b07586b9c3c9d74e6a1b003c4d5adaba1466186

Observation 7507ae08-6a85-4625-9cbb-2caa81350b89 · outbound

This paper cites Scaling up Masked Diffusion Models on Text.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Scaling up Masked Diffusion Models on Text

Reference 40

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unresolved
no resolver link, observed 2026-08-06T22:52:33.408341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.408341Z digest=sha256:19ad3244e084276d1fe0b80f53a04f67b1f48e0df1887f66bb5f93f9d81368db

Observation 70f894c6-17aa-4f27-9c13-1fa862c4299d · outbound

This paper cites GPT-4 Technical Report.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation GPT-4 Technical Report

Reference 41

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unresolved
no resolver link, observed 2026-08-06T22:52:33.411088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.411088Z digest=sha256:bef44a84b6fd04fe6b9ce21ba7fcf7a4dc2ec6f5ee56a84899a640871e6c6234

Observation 4ccddc52-46cb-40e2-8e6a-794d7be09165 · outbound

This paper cites Open r1: A fully open reproduction of deepseek-r1, 2025.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Open r1: A fully open reproduction of deepseek-r1, 2025

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.675218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.414039Z digest=sha256:1fca77982abcc7e1b22040327f8377930cbacd6998f4fdc9ce0b2d924d9f34fb

Observation 6232dcd8-0ed2-49aa-afce-09de34d8c120 · outbound

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

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data

Reference 43

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unresolved
no resolver link, observed 2026-08-06T22:52:33.416659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.416659Z digest=sha256:e0d2c993a2b7e0e47cbfb4a3a282566ddc7b9a0120c568750e00bdb5018ac1c2

Observation fd76d239-ee1b-44c1-85ca-ee20311c3249 · outbound

This paper cites Raffel, Leandro von Werra, and Thomas Wolf.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Raffel, Leandro von Werra, and Thomas Wolf

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.666248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.419537Z digest=sha256:4d47132194f9e9fcdcd5f4ffbc5657e8c466d95cea50203fc4003ab433c36c7a

Observation 8045cb99-b3bd-4d31-bb6f-8d2e0c32d7b8 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Direct preference optimization: Your language model is secretly a reward model

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.422222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.422222Z digest=sha256:82fe8c43b099a512e6d03e24fccf549c261d54187a0d34af0d0f5de8bfe9ec23

Observation 45330013-a74c-41f7-bb9b-0051433960db · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Zero: Memory optimizations toward training trillion parameter models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.425023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.425023Z digest=sha256:1d06d82b6ae2fa70d854d6b64971d74a3fd42839d0e69ad5e20bd24f626780dd

Observation 851afa51-1f60-4846-bd8b-b7d5bba9eac2 · outbound

This paper cites Diffusion policy policy optimization.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Diffusion policy policy optimization

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.645262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.428240Z digest=sha256:1d76296a4773363b37f4403f8ea425819b175f0e52a82815d9259413a5224f31

Observation a02d735f-44c0-4c12-a623-78d6fd137dab · outbound

This paper cites Code Llama: Open Foundation Models for Code.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Code Llama: Open Foundation Models for Code

Reference 48

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unresolved
no resolver link, observed 2026-08-06T22:52:33.431182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.431182Z digest=sha256:f3e01ceb73e713f283125b557290ebbd962b5bd6c0631aa9fda3e4c319f4d416

Observation 9aa62572-298d-49bf-b666-580796476c39 · outbound

This paper cites Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.635051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.434345Z digest=sha256:1e9f8cbd8c7f09498867c1dbdee7dfed8b705455db4e53cebe6fb410833cec22

Observation 67b6bcae-788c-41ba-9957-5cc863fe57f9 · outbound

This paper cites Esoteric language models, 2025.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Esoteric language models, 2025

Reference 50

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unresolved
no resolver link, observed 2026-08-06T22:52:33.437414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.437414Z digest=sha256:6de02c22aa2a47680e3235be2282cad2686f2e4512c313b14410b763403abdce

Observation b9023cc1-16ed-4922-84df-bb550e38d40d · outbound

This paper cites Proximal Policy Optimization Algorithms.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Proximal Policy Optimization Algorithms

Reference 51

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unresolved
no resolver link, observed 2026-08-06T22:52:33.440349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.440349Z digest=sha256:40caaf64d6a23425332b818cbe2391b7b35be3cb04ce0429f88bde498be3e267

Observation 7a082c10-aec9-484f-aefe-8f3beaaa7539 · outbound

This paper cites Spurious rewards: Rethinking training signals in rlvr.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Spurious rewards: Rethinking training signals in rlvr

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.619743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.443649Z digest=sha256:8639ef2bd64f1ee4344b2872efa0f620dc39e9479e8d29e7b8a0468750911f73

Observation 1e4dbcd1-e02a-43d4-a9ef-0e8ddb12c4d3 · outbound

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

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.446883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.446883Z digest=sha256:97b8686af52d4147dcc406ff5a76ed43c59d04adabf7c4ed5a13fbacc314470d

Observation 4b26a2bf-f06c-4f68-a834-d75c1a9fc81b · outbound

This paper cites an unresolved cited work.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:52:34.610715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.449722Z digest=sha256:f4c630d41dc546c84305ae4ff4c630eb6c3b5df7ef894e18247d68c6942ecc8c

Observation 74772195-4f5c-419e-880b-682a60dc6c42 · outbound

This paper cites C ode F usion: A pre-trained diffusion model for code generation.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation C ode F usion: A pre-trained diffusion model for code generation

Reference 55

Resolution
verified exact
doi, observed 2026-08-06T22:52:33.575776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.452552Z digest=sha256:beb5a4a719f58b3bdd1cc546b520e59a6513c45772e8d700b3f565d928c02520

Observation 14c19048-b284-44f8-9271-ce8e3172e947 · outbound

This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.600557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.455516Z digest=sha256:2e0c77e0dc7b99e520867d89d421d602065e8a244903c17087fc2952335cb53f

Observation 30e2108d-cc45-4412-a2bd-010d01a5cba2 · outbound

This paper cites A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond

Reference 57

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unresolved
no resolver link, observed 2026-08-06T22:52:33.458261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.458261Z digest=sha256:1ad70fd5f3c08c6e6f9d7c0831eee5e9b33b6f75511b7b680c243c43649cf193

Observation a7e7eea0-899b-4fe1-86bd-c33acbbeb3c0 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation LLaMA: Open and Efficient Foundation Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.461637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.461637Z digest=sha256:3d472141d54e9db72a26763aa589047eb6bf2642b80782355242ebc6a62f4980

Observation 2023d32f-cf75-4183-ad3e-1c782f27e7b3 · outbound

This paper cites Octothinker: Revisiting mid-training in the era of rl scaling.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Octothinker: Revisiting mid-training in the era of rl scaling

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.591508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.465166Z digest=sha256:57ea942a1ebb22d3d989428930cca431ddf7d069ccaceb4c173efc0e84239933

Observation 8199fe4f-c1b7-4ab6-bc1a-fd3c4878da75 · outbound

This paper cites Simple statistical gradient-following algorithms for connectionist reinforcement learning.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Simple statistical gradient-following algorithms for connectionist reinforcement learning

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.467869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.467869Z digest=sha256:8e0d26c5dc1f94a734e3ce6f77a6e2a46dd19e751c6101172e8187e6f495bee8

Observation b7da2604-7f64-4ea0-a450-7e26d3078921 · outbound

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

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.470475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.470475Z digest=sha256:f2958b663f5a15dca878a2c6c107cda49fb3e7daef678c946a787a6697b498c8

Observation dd18ec1e-341f-43a2-bd23-64a1891860e3 · outbound

This paper cites Efficient streaming language models with attention sinks.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Efficient streaming language models with attention sinks

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.576384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.473188Z digest=sha256:b3e61c1cd0e0e711da32ed34c11524370000f3e3fdc79a91de2bd5d39a7e5e82

Observation 4e418eaa-cf53-4bef-ac2e-75f065cc471e · outbound

This paper cites Teaching language models to critique via reinforcement learning.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Teaching language models to critique via reinforcement learning

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.476233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.476233Z digest=sha256:94dd5715fdc92b10cbd35d2373c1feba249edaa76203b6abbe7460c764500e87

Observation 2916f53f-436c-4614-b8c7-6634093e594d · outbound

This paper cites Lemur: Harmonizing natural language and code for language agents.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Lemur: Harmonizing natural language and code for language agents

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.567361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.479282Z digest=sha256:44123cb893e02a6dca6a43af698c62c8b9a93f4cc95095103472bdd32ab64ad6

Observation 9a2ecb17-bfb0-451d-95f2-81a6ddaf1b09 · outbound

This paper cites MMaDA: Multimodal Large Diffusion Language Models.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation MMaDA: Multimodal Large Diffusion Language Models

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.482004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.482004Z digest=sha256:09bedd14fb3fe9b1ef3810e73a03bafdc010196e044d91887f3c3af56d548d8a

Observation ddd3084f-690f-4856-8a3f-6efcf9aa4416 · outbound

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

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.485058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.485058Z digest=sha256:5c2d7f11df0a16d3360c38ff22ac88794e9f54ce551be84aaeb19d62c39eaed5

Observation b86167c5-cfb7-4d65-b829-19c4d5611590 · outbound

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

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.488204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.488204Z digest=sha256:ffe0cf81378244dfd3f73dfcf45e61d148c0c4cc376d366547296013ba7077e2

Observation 2090e4a7-10da-4a62-bcf5-af66247ba34f · outbound

This paper cites Dream 7b, 2025.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Dream 7b, 2025

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.491011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.491011Z digest=sha256:9e6dd3bcc8793a07b9eba5113043f448f1e1d7e9f154fbfe00d06dbdf0785d35

Observation f0fa195d-da71-42d5-8edb-47a305183176 · outbound

This paper cites Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.493730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.493730Z digest=sha256:b1b263326367fc97b3b3cb5e46ad91b3414df5d3f79c4b99293040f7b2c34fbb

Observation 185e9cb2-38c3-4ea7-ac56-f082bac3e8b7 · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.496674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.496674Z digest=sha256:463920d042045e173e8712b725d47727e1186ea1251a97ce1e04f5faf26ba317

Observation 99725b8d-bb82-47e3-b1f2-21ec8ecd8be8 · outbound

This paper cites Fine-tuning discrete diffusion models with policy gradient methods.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Fine-tuning discrete diffusion models with policy gradient methods

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.499481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.499481Z digest=sha256:bcb2d06b3fdc7f1449cafc661560fff2836f3db997dd9b5665ea77eb6c1e65b2

Observation 6f6953f7-05e4-4410-bbaa-3b8830999e0e · outbound

This paper cites ACECODER: Acing Coder RL via Automated Test-Case Synthesis.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation ACECODER: Acing Coder RL via Automated Test-Case Synthesis

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.502352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.502352Z digest=sha256:782b2fc9e3e6b37c12f0096fa68b9d88285e7050d4f9811b6e9cc04f9afcf4eb

Observation c88d42fa-4be3-49af-8e7b-fff0583869e9 · outbound

This paper cites Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion

Reference 73

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unresolved
no resolver link, observed 2026-08-06T22:52:33.505638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.505638Z digest=sha256:087479297ecf65b1fe49c90dd83600cb3e46982da1d3ce6501401599013e7002

Observation e6ab4d78-1c0c-40cd-a22c-10cd1d1b4742 · outbound

This paper cites Susskind, and Navdeep Jaitly.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Susskind, and Navdeep Jaitly

Reference 74

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verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.551775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.509061Z digest=sha256:0ac2b74501eec34a0abed1935e7d4bedb46df55d63ea7533afd3a571b3e5bfdb

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

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

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

Reference 75

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.512057Z digest=sha256:b500f80f209bc05a22b2f121431aa4d081c52c78c03613ff4c82d9b43ef5b17d

Observation e010413f-a123-437d-ac21-4a8dc4953a60 · outbound

This paper cites Pytorch fsdp: Experiences on scaling fully sharded data parallel.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Pytorch fsdp: Experiences on scaling fully sharded data parallel

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.515073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.515073Z digest=sha256:8316493c14af3ea2e2e2774d463c2fb717f30c6d66ccaa704386ba1aaf3c84d2

Observation ddad496a-8d58-4194-b483-71899c74492d · outbound

This paper cites A reparameterized discrete diffusion model for text generation.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation A reparameterized discrete diffusion model for text generation

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:52:34.542267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T22:52:33.517946Z digest=sha256:3b6a92813b38c7ccaa5ea72d5283a40024be2943d479f522b381bc1ee3fb6f3e

Observation ca73abac-acf3-492a-bf6b-0a3c7bce0c6f · outbound

This paper cites Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale

Reference 78

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unresolved
no resolver link, observed 2026-08-06T22:52:33.521093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.521093Z digest=sha256:e691d892604a04705dd462cfe148ac0b20095414f72bd02995e4083fc76d2449

Observation cd8fd60d-0714-442b-b3b7-7e9f45828514 · outbound

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

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.524300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.524300Z digest=sha256:189be774bc6b4598497287d5d822772fa4a0fbfdb9125d759b7f2e6fb2fe96e0

Observation abfacc94-7386-4372-836a-b8e5a97d6fc0 · outbound

This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.527500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.527500Z digest=sha256:d85dc8424263ea2b0c9b9a63e4da5d4aa9dedecdb60ce56046c9aaf454df79be

Observation 1e15c7ca-f0ae-4844-ac14-4d0c4f3ee90b · outbound

This paper cites write newline.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation write newline

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.530719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.530719Z digest=sha256:3db731dbdfea935173369e93ed09892efd4e255e4549c0f81431eb22eced9ab3

Observation fa4e605e-4c3a-4cb4-b117-553c5a8f7bb7 · outbound

This paper cites @esa (Ref.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation @esa (Ref

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.534500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.534500Z digest=sha256:3c4c10861819aa3cd611b222e7cb2812a5abb899b734f094ae76ea2c72e367f5

Observation b77f981d-fd08-4a15-86df-a70a2a31c8f5 · outbound

This paper cites an unresolved cited work.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Unresolved cited work

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:33.538070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.538070Z digest=sha256:75037f7ce7ffcf6d6660bb6e6fbaa21eef2a7452750955e5fec9c9168f2a19c2

Observation 39935ecf-11fb-49a0-9066-fe22cffe3bc1 · outbound

This paper cites an unresolved cited work.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Unresolved cited work

Reference 84

Resolution
malformed identifier
no resolver link, observed 2026-08-06T22:52:33.541150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:33.541150Z digest=sha256:10fc4cb19a410884d1a5cf60529381690fa070c6ca1f76acb4822f61823bdbb2

Pith citing papers

Observation 3fc2d063-21c9-4eb7-89b0-9d35c9bc826a · inbound

Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential cites this paper.

Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 2025

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unresolved
no resolver link, observed 2026-08-06T17:06:07.719627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:06:07.719627Z digest=sha256:2782f74efc332ebcf245c44065f26cef1044eceb9d3f8f07ca0ec2dfd0c91157

Observation b0bd7c05-de1a-4e61-bbfa-52bd2106b039 · inbound

A Survey on Diffusion Language Models cites this paper.

A Survey on Diffusion Language Models DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-05T20:15:19.968135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:15:19.968135Z digest=sha256:64fa8f1985295bad0d9335e0cb70bd83a4a3c5afcf950d7c64f72d3cbfbb2b20

Observation 221f89fb-3a73-4331-9671-19a81ecf03de · inbound

Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance cites this paper.

Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T14:42:22.236761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:42:22.236761Z digest=sha256:31e1b1d21be7dca04a0cbe094b545a13c1f64890e40c5f510bb4e993434d2b75

Observation 514da1a9-d2c9-43f6-b49f-a2d77aa6dce7 · inbound

Any-Order Flexible Length Masked Diffusion cites this paper.

Any-Order Flexible Length Masked Diffusion DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T13:20:05.358512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:20:05.358512Z digest=sha256:309c341bf2b9d45663359d12d31bf97dabf9aadd0729bb49506baa9f9265ad01

Observation e4990451-0ad1-4c34-9ff2-737558872ee0 · inbound

Dream-Coder 7B: An Open Diffusion Language Model for Code cites this paper.

Dream-Coder 7B: An Open Diffusion Language Model for Code DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T12:56:35.061994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:56:35.061994Z digest=sha256:d3d95e5f857d808adfa7d1d2acff49d1a355c5e86d49578ff74b8a0255ff1f14

Observation 2b0407d5-340d-4d8e-9261-46b063a6af7b · inbound

Set Block Decoding is a Language Model Inference Accelerator cites this paper.

Set Block Decoding is a Language Model Inference Accelerator DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 12

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unresolved
no resolver link, observed 2026-08-05T10:24:24.035220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:24:24.035220Z digest=sha256:ca5487e3a0b33c85270da536ad7045c953c54f7d3741b9276cc7484a73cdc37e

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:56:05.150719Z digest=sha256:def118d46a19906aee9cf0ac74fcbcadf4235ebdc41545eedc42abfa360f4894

Observation 5a4f0adf-1bda-4917-b276-6b600e13663f · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 164

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:02:25.467341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-18T00:02:24.352947Z digest=sha256:aa25e7597fa7d0f399c10f7029026532e0ae9313fd56a25a5ce06d75c82f66e7

Observation 0162aa2f-a1d6-4908-9afa-cd944c5e0b61 · inbound

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

Inpainting-Guided Policy Optimization for Diffusion Large Language Models DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:46.961329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:46.961329Z digest=sha256:cb0cc9b5023b5d3a82b2c8b97022b62b56d8a023884763e98e5ef012e1a3ad35

Observation beffa496-133e-4054-8e73-820fa20aec50 · inbound

FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models cites this paper.

FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:36:24.909123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T13:35:43.365164Z digest=sha256:16fe72918ba45715d473033cf8843b4f4083bca134f4e57b11f9b3307454066a

Observation 017ff2ae-bc7b-43e6-9d51-2f6cfa799953 · inbound

Fine-Tuning Masked Diffusion for Provable Self-Correction cites this paper.

Fine-Tuning Masked Diffusion for Provable Self-Correction DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-04T13:15:31.707050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:15:31.707050Z digest=sha256:d6e4942cfddfbb659a3388a103750478eba58a457988ab7323f891f3cdb866e0

Observation 9e49b96e-8959-4739-99cb-49ff062aafe7 · inbound

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner cites this paper.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:14.114595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:9f6db91ed443749e3239d20b23c77a5166f7eb7d435173ab064da1d31c077903

Observation e03e251a-12ef-4eae-b18b-6a2c41a8a34b · 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 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-04T11:28:09.593678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:28:09.593678Z digest=sha256:29d401f0807ed565d1a5b843be99582204cb478653bd79e4a4f8b09e86731332

Observation 7b1cadbe-872b-4225-999f-b31939406525 · inbound

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

Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-04T10:56:36.658022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:56:36.658022Z digest=sha256:1c3a3a644e35aa4594bf28c5c4c6724e7d57deed4c4a1262784aa172b7e1ac1d

Observation 219c33d0-6259-495e-a86f-3250938fab81 · 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 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T10:10:07.008967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:10:07.008967Z digest=sha256:1f299f6c72c1435c5b24758301011beeb5773aa8d866f55d7fb33f9fc102ab20

Observation 1692b1fb-c5e3-417c-b459-488f0dbbe7a7 · inbound

Saber: An Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model cites this paper.

Saber: An Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T05:32:25.277283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T05:32:13.409022Z digest=sha256:732efc55cd71722bbef29b12bf85cbfba6a0dbb7ad56ba673eda6655bc57bf05

Observation f7ec7ae9-497b-4031-990b-e58be4e42996 · inbound

PartDiffuser: Part-wise 3D Mesh Generation via Discrete Diffusion cites this paper.

PartDiffuser: Part-wise 3D Mesh Generation via Discrete Diffusion DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-21T18:40:29.075008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:37:14.113436Z digest=sha256:e7c08738eaf7016b62b5fe151a4c8bbb31a44c0879ccfa0b39e9f9124702d9c3

Observation 3be0d842-2301-4d18-8b46-e060c2fc3730 · inbound

PartDiffuser: Part-wise 3D Mesh Generation via Discrete Diffusion cites this paper.

PartDiffuser: Part-wise 3D Mesh Generation via Discrete Diffusion DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T20:41:15.928161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:41:15.928161Z digest=sha256:c1cf547b5d3a998f7a947fa6c10f3a683edb20b66c1273a7a4ddf45a9159d725

Observation 617adb40-3f13-4ff0-98f5-2d6e369c3193 · 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 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:31:19.362914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T22:29:08.669964Z digest=sha256:d98fed441c3c01a345671d82ab844bcf2c0eef69821b9bb5a1e392b27d3e8168

Observation d7e21525-dc05-407e-a031-dcb667a7f54b · 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 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T10:09:22.801810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T10:09:22.801810Z digest=sha256:332dd19bd3b0dd6c98fe4f32ee20e4d8961464e109fa71d7437e78ef09f9b22d

Observation e3f2b1e0-da3d-4df8-807a-16cb98d815c0 · 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 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T09:03:17.926031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T09:03:17.926031Z digest=sha256:fdb9521a1b7be378c898ffff4e51b81216cc0a0b606e3c24dba2d6cea13b3393

Observation 0881c3cf-7621-424b-8d2b-895dc7cfeeb6 · inbound

UnMaskFork: Test-Time Scaling for Masked Diffusion via Deterministic Action Branching cites this paper.

UnMaskFork: Test-Time Scaling for Masked Diffusion via Deterministic Action Branching DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T04:44:07.514075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:44:07.514075Z digest=sha256:339398db2fa505850ce41563794db6120312cd9acc597b0b0eceb21c51f003a9

Observation e19f6644-342f-42a9-bdb8-c009f0d7ea48 · inbound

Diffusion-State Policy Optimization for Masked Diffusion Language Models cites this paper.

Diffusion-State Policy Optimization for Masked Diffusion Language Models DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:20:43.904797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T07:17:56.797506Z digest=sha256:02f1ae63ba4bace50a7957f7a7acb0d897f00da3212d3498289c2687037cf75e

Observation 075c6df8-e80c-4935-ba58-53e14dcc2620 · inbound

Diffusion-State Policy Optimization for Masked Diffusion Language Models cites this paper.

Diffusion-State Policy Optimization for Masked Diffusion Language Models DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:40:14.344829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T14:39:44.391920Z digest=sha256:07f1d264f4d993566520c77e973745b8e80e94a498198b3845642ff19681a43e

Observation 7645492c-b747-4fc7-a406-05a27be87c8a · inbound

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

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T00:05:25.346266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:05:25.346266Z digest=sha256:05bc4ece9c34fdda287ad06712306c85b68a220eaa43fd74e7648ec373bc06c4

Observation 25bab7dd-04e8-481d-810f-ac3cc2f2310d · 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 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T23:50:33.939670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T23:50:33.939670Z digest=sha256:c295f4e88905f9037f99f0bd1e5dad51df5d1951de7bd2d80f26f2c11e56c178

Observation 9f938b7c-3a01-4a52-9f10-eeef2a24379d · inbound

A Comparative analysis of Layer-wise Representational Capacity in AR and Diffusion LLMs cites this paper.

A Comparative analysis of Layer-wise Representational Capacity in AR and Diffusion LLMs DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T15:06:10.094918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T15:03:23.792608Z digest=sha256:33e50c3306fbf5673c2bc98ad206c15a60c9cc1f454b0704306f7568e5b1862b

Observation 0160b08a-2cd8-42e5-a2bf-0128f7487d66 · inbound

A Comparative analysis of Layer-wise Representational Capacity in AR and Diffusion LLMs cites this paper.

A Comparative analysis of Layer-wise Representational Capacity in AR and Diffusion LLMs DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-04T05:57:07.958994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:57:07.958994Z digest=sha256:dd75841621ef57b4b1d0c859075df37fa32be94ce33c83d5b61c3ee13d4c2b4b

Observation 63497513-2a0f-4229-b29f-efd07cf2549e · 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 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T02:38:06.994951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:38:06.994951Z digest=sha256:c708118b7335979d1eb2c239bc973212bbe6fe4d3861210187401c6071d33841

Observation d51c7a66-1170-4051-a65d-19dcee1f0a86 · inbound

S2D2: Fast Decoding for Diffusion LLMs via Training-Free Self-Speculation cites this paper.

S2D2: Fast Decoding for Diffusion LLMs via Training-Free Self-Speculation DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-13T18:04:43.103159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T18:04:43.103159Z digest=sha256:a9bd88b59f0f38a4f4c41829a623119b29fc971eef4c85dc80b9c410752d795c

Observation f7618b32-54b3-462c-94d3-eb7feaaec0d7 · inbound

Not All Denoising Steps Are Equal: Model Scheduling for Faster Masked Diffusion Language Models cites this paper.

Not All Denoising Steps Are Equal: Model Scheduling for Faster Masked Diffusion Language Models DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:47:33.037258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T07:43:45.415485Z digest=sha256:416056903c27ccd125adea29818b72a621dfdeb87fb3dacc9287f49b3c23109c

Observation 38c8914c-a52f-440e-8a59-ec4e9ec19a88 · inbound

DMax: Aggressive Parallel Decoding for dLLMs cites this paper.

DMax: Aggressive Parallel Decoding for dLLMs DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:45:55.980021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T17:58:17.880199Z digest=sha256:3a279308398b47d38a5c86ef5814b25141512a04b00896d6a8ea6e7f5cb12de8

Observation 6c45b0c2-2c19-41da-b8fc-74005817c17d · inbound

DMax: Aggressive Parallel Decoding for dLLMs cites this paper.

DMax: Aggressive Parallel Decoding for dLLMs DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:47:40.189153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T16:46:56.743268Z digest=sha256:99c09dbc877fc77ee712d85d3d268523700940e4b3d124c7b5eed42042a56ea2

Observation c7aa6ed4-c02b-46eb-b4de-21f9d937c096 · inbound

Dataset-Level Metrics Attenuate Non-Determinism: A Fine-Grained Non-Determinism Evaluation in Diffusion Language Models cites this paper.

Dataset-Level Metrics Attenuate Non-Determinism: A Fine-Grained Non-Determinism Evaluation in Diffusion Language Models DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:35:26.423954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T13:31:46.940449Z digest=sha256:cba0f6ffa004c430681a0a60613b95c5d58377c60831e30e8ddf66c682c92287

Observation 24dff20c-7ca7-48b3-9a0a-0d14f782033e · inbound

DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis cites this paper.

DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-12T20:50:53.567415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:50:53.567415Z digest=sha256:6a1d2a19e5a88b70759731313dcc6254b761ae82f4400201aee4e3af29b388ae

Observation 58ea2630-a7b9-40af-83c6-9ae380efb600 · inbound

Stability-Weighted Decoding for Diffusion Language Models cites this paper.

Stability-Weighted Decoding for Diffusion Language Models DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:31:31.355025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T06:12:37.804816Z digest=sha256:3adf58affec66289222beea2f7f1db18bd46c77b964b3d7f060fdd26d9e652b8

Observation d7764524-7db5-4011-a839-bea9ebc5f276 · inbound

Discrete Tilt Matching cites this paper.

Discrete Tilt Matching DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:51:04.127694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T04:31:08.195730Z digest=sha256:e181723fdbad48ae3439abbb695d0eaf247da89dbb2f610bffb68776b90ad638

Observation 90ae4c27-6b08-4d5b-9ce9-8cdfe7e97bef · inbound

Simple Self-Conditioning Adaptation for Masked Diffusion Models cites this paper.

Simple Self-Conditioning Adaptation for Masked Diffusion Models DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:36:34.126996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T16:38:22.306140Z digest=sha256:70e9f4faff2215824cf20ded3797ebc39510188473a9ff81ee023459e38fdf30

Observation 2529f573-1aad-4724-a874-574a704f4b48 · inbound

Pushing Biomolecular Utility-Diversity Frontiers with Supergroup Relative Policy Optimization cites this paper.

Pushing Biomolecular Utility-Diversity Frontiers with Supergroup Relative Policy Optimization DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:26:23.586659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T01:11:15.866440Z digest=sha256:6a49e3d96953dcc90e1b0de2eda9f7ae964381b0b8414c26863cc022f3c8195b

Observation 238f76db-ce4e-4e37-9156-a108055f4f2a · inbound

Pushing Biomolecular Utility-Diversity Frontiers with Supergroup Relative Policy Optimization cites this paper.

Pushing Biomolecular Utility-Diversity Frontiers with Supergroup Relative Policy Optimization DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-20T23:33:50.998290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T23:30:36.222968Z digest=sha256:577756ac63739d0c16ae79a1eac9c5d8588f8bb192092668c6e5ddbec1b54503

Observation ddc5fe59-19a2-4f1e-a479-4fdb3aa21c93 · inbound

Infinite Mask Diffusion for Few-Step Distillation cites this paper.

Infinite Mask Diffusion for Few-Step Distillation DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:36:28.236032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T04:05:57.880725Z digest=sha256:b4be6f9a6e8c3baf7988cdda519022519b9a7815159c6d79784307a43449620d

Observation cec11caf-92a9-43a9-9e0c-90c3161df71c · inbound

DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models cites this paper.

DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:54:09.817515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-20T22:53:48.008589Z digest=sha256:2d1edf5426c1db5c9dc879210c5346676dcbb5e6b5d800f50238368350f76a3a

Observation 939c2c32-ac32-4b56-9e4a-d3818825b68a · inbound

Constrained Code Generation with Discrete Diffusion cites this paper.

Constrained Code Generation with Discrete Diffusion DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:27:47.889187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T21:24:10.211816Z digest=sha256:e50b0b97de8c6e218211cbd0781c677ef34778f0d1ea200e980bd1390eb7ca65

Observation 5e26651e-60f9-49bf-984c-2f0ea7e635c2 · 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 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:08:21.285223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T14:03:45.869373Z digest=sha256:735bcf2ad3416b49334ab1fa524e24bdb60b8b2e4d91a0e4fb1005b63813f098

Observation 0b740989-a82e-4ef3-b76a-282c7c41de34 · inbound

SNLP: Layer-Parallel Inference via Structured Newton Corrections cites this paper.

SNLP: Layer-Parallel Inference via Structured Newton Corrections DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:38:16.795278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T12:36:41.055552Z digest=sha256:0130cd7372ff34a1c14195c2a2e1acd856f881d7875217a25bf1025949687577

Observation ce483b1d-6593-41e1-81b1-6966073a435c · inbound

SNLP: Layer-Parallel Inference via Structured Newton Corrections cites this paper.

SNLP: Layer-Parallel Inference via Structured Newton Corrections DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-30T18:55:00.157099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T18:53:40.889001Z digest=sha256:6162aa4ec05f2f68b5dcc306e975623c83278b67e28b0e6d021b292a56449ace

Observation d7db372a-2ab4-44fa-8a20-7d10cf9089fd · inbound

Reinforcement Learning from Denoising Feedback cites this paper.

Reinforcement Learning from Denoising Feedback DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:23:58.920191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T21:20:32.039699Z digest=sha256:5e277ac7470cb8fd03764ac70909b490cff46f4e1cd2b6f8bd4b6d846aeb663d

Observation 11c48055-25b6-4d3f-945b-faac05859e13 · inbound

The Confidence Shortcut: A Reasoning Failure Mode of Masked Diffusion Models cites this paper.

The Confidence Shortcut: A Reasoning Failure Mode of Masked Diffusion Models DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:13:27.370526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T11:43:27.577980Z digest=sha256:6450d3f3092f3580e5c61a6376d19f59d38f27b4194cac3002f97d1dd7d1be32

Observation c3004e32-4a08-4461-99f2-30a01c9966ca · 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 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:53:16.296177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T08:44:53.969301Z digest=sha256:ca71ffee1cd0210cb7cac1e2fe33da6a68d4a9a2b79559c33b5634c2e3fca8f2

Observation 7bb60e64-6ab6-49a8-bfb0-ab18c450b356 · inbound

Destruction is a General Strategy to Learn Generation; Diffusion's Strength is to Take it Seriously; Exploration is the Future cites this paper.

Destruction is a General Strategy to Learn Generation; Diffusion's Strength is to Take it Seriously; Exploration is the Future DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:53:16.012929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T08:48:10.444113Z digest=sha256:12052840f0f6421becdd2d64e7e4845245101ccfabb4e7d448ca460374bb4915

Observation 8f1b375b-00ca-4521-9b9a-889899d0de85 · inbound

dMoE: dLLMs with Learnable Block Experts cites this paper.

dMoE: dLLMs with Learnable Block Experts DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:52:45.144554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T22:50:51.900169Z digest=sha256:e410e27a4476e97d7b6d9da053d3dbf953026488356f103b1a747e77c339c0e8

Observation a8d63bc0-4713-4e57-ad6e-ee66eba88d3f · inbound

WaveFilter: Enhancing the Long-Context Capability of Diffusion LLMs via Wavelet-Guided KV Cache Filtering cites this paper.

WaveFilter: Enhancing the Long-Context Capability of Diffusion LLMs via Wavelet-Guided KV Cache Filtering DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:02:33.530600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T18:57:54.491506Z digest=sha256:6d3cb72a31b4cecfd53e75281058cd9b5a0206957d7bcc71a0f7f4d8ed71120d

Observation f8fa62d9-6698-4114-998b-c16b5ee64a76 · 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 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:56:24.411128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T13:43:51.171443Z digest=sha256:e2229a6001289e5771509fe0d52c16e435fac9765e65050a4d7ae9d8c3a904ac

Observation 72a33a4b-f832-4c15-b5d6-f2c903efd0fa · 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 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:06:48.400710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T06:20:27.041099Z digest=sha256:ca28a70efdb2cf8c17c9af956684e7ca4dbbe5f113202701b2be0b5aab5ad355

Observation 8ecc9a3a-8629-4cb3-ac93-ecfa3dd15024 · inbound

NAVIRA: Decoupled Stochastic Remasking for Masked Diffusion Language Models cites this paper.

NAVIRA: Decoupled Stochastic Remasking for Masked Diffusion Language Models DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T01:51:29.207203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T01:43:38.252406Z digest=sha256:69fdffb8f04f0757e8b37307b42a4d1ac99ba2e45b5e56f03365d52b7f7a723a

Observation 9f10043a-2bb9-4931-9a40-e85ef29c0f0a · 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 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:57:26.560262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T18:31:21.493677Z digest=sha256:8e1da972980dc90a8f8b8f4f2b5d2b712cfc18a2201a4967d9f74c4a786bc60a

Observation a1fff427-e6cf-491a-b9ec-2fa8115ca9d5 · 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 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:28:04.437246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T09:34:02.484344Z digest=sha256:a9d0c768ac1ba125415d36de7d24c8ff7b4431f0720addcbcf998cb23e3fb1be

Observation fb4f6fe9-af7b-4840-8670-39f8a12ba079 · 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 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:28:55.619794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T01:20:14.919054Z digest=sha256:52055987f2da14e7e9659f4b490f165762462a055af28113018469b4ea9af840

Observation 95bcc3e0-7698-491d-bc9e-6b36e4e1361b · inbound

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing cites this paper.

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:07:17.223330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-02T19:05:59.651008Z digest=sha256:34d7323a5c8db814bfe44473a83c043ab37307cbced45e02979f36530187be92

Observation d2e5b1b3-0be4-4705-a441-4728d71b3c7d · inbound

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

TACG: Trajectory-Aware Commit Gating for Diffusion Language Model Decoding DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-12T03:56:26.770729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T03:56:26.770729Z digest=sha256:7c46712c168278f4b4a64be5e0d2c3f721e17552f112da0860b1f6f3373236b7

Observation e83a8e57-60fd-4b7b-86eb-64fa80541bc3 · inbound

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

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 74

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T13:03:39.236118Z digest=sha256:98fffb423de5ea43cffb036aa2fea84caeffbb9c415f956a1140d776a85a9523

Observation 03c7ef51-da16-42ce-89cb-f26fa37712c6 · inbound

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

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 74

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:953b88c9cba3ce787ddd6880cca124c66258acbc27b53e6f9ee72ad7d7b27242

Observation 6ce9c2c3-aacd-485d-acd7-144acb5d389d · 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 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-07-11T03:07:51.370846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-11T03:04:12.500342Z digest=sha256:7dd60f3135e3185b9e7af84f53f40ba34a0d29b60ec4932b70bae78a6af14607

Observation adb2c22b-069d-410f-81a3-0e1ded022e21 · inbound

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation cites this paper.

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 52

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unresolved
no resolver link, observed 2026-08-02T05:17:30.794886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:17:30.794886Z digest=sha256:d0d56cf482ac53211e6e5ffdfd3ea0a02b94759cd7ec526848246a5dbeb173f6

Observation e02d4c03-53ea-46d9-9c5f-124315a3a594 · inbound

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL cites this paper.

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T14:50:11.366692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:50:11.366692Z digest=sha256:5fb783f4c3179f8cd4eb5bd3bdd3ed77dd335ec81e0b5528dc38161de3480b6c

Observation 4a7ff4ee-9cc4-49c0-8bdd-9b199bdd6f54 · inbound

Hierarchical Domain Generalization cites this paper.

Hierarchical Domain Generalization DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 163

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unresolved
no resolver link, observed 2026-08-01T20:54:17.464045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:17.464045Z digest=sha256:22f807d37ce6f179a7a8ac5e00a50f89bcfc284fca8a7afcc31b374bdcc02665

Observation 01931d61-0985-4037-acdd-543c2aa4af8a · inbound

Rethinking the Generation Order of Block Diffusion Language Models cites this paper.

Rethinking the Generation Order of Block Diffusion Language Models DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-31T18:41:13.757351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:41:13.757351Z digest=sha256:87e674ed07c2e2345f15860cfcb16d3b84d804e5952d737f7493954bdd04ba23

Observation 33c79516-26e1-4ed0-94e9-6a4f8b6d6b5b · 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 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T14:25:34.991006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:25:34.991006Z digest=sha256:d28a07c4016d00534bb72c22bc99578c396f46c8bed0c1a60b32d0d633ab55ae

Observation cbfbfa29-65ab-4a66-978b-fe882089a4f9 · inbound

CoGate: Confidence-Gated Co-Decoding for Secure Code Generation cites this paper.

CoGate: Confidence-Gated Co-Decoding for Secure Code Generation DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 20

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unresolved
no resolver link, observed 2026-07-31T04:32:30.217492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T04:32:30.217492Z digest=sha256:46291098904234a4eb7bf754dcd9c37fc6ad22660b33f2eccc466323475eecc6

Observation 4ad35dd3-0b95-467f-9b14-95345db8f117 · inbound

Beyond On-Policy Exploration: Integrating External Policy Rollouts for Reinforcement Learning in Diffusion Language Models cites this paper.

Beyond On-Policy Exploration: Integrating External Policy Rollouts for Reinforcement Learning in Diffusion Language Models DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T22:20:08.768240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:20:08.768240Z digest=sha256:9e3e9784cf64f21496c42d5be8bc27a7d520269de57c9e4ef9014eaa10c502e2