Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 6 inbound Pith citation observations for arXiv:2603.13319.

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

pith.paper-citation-record.v1
2603.13319 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T02:38:07.792710Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T19:05:59.651008Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:07:17.248530Z

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy0
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c47cb0a-1340-4f7d-82ac-388e4fa4af60 · outbound

This paper cites Chen, M., Tworek, J., Jun, H., Yuan, Q., de Oliveira Pinto, H.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning Chen, M., Tworek, J., Jun, H., Yuan, Q., de Oliveira Pinto, H

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:06.677290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3941abfc-c6e8-4f92-9a74-a512fc5d6fc2 · outbound

This paper cites an unresolved cited work.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:06.860909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63497513-2a0f-4229-b29f-efd07cf2549e · outbound

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

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.

Observation 4b9709a4-caf6-41ee-92c6-b18fdc339f1d · outbound

This paper cites Hendrycks, D., Burns, C., Kadavath, S., Arora, A., Basart, S., Tang, E., Song, D., and Steinhardt, J.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning Hendrycks, D., Burns, C., Kadavath, S., Arora, A., Basart, S., Tang, E., Song, D., and Steinhardt, J

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.141752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fffe2e3-612c-49df-ba4c-d8e2ca2a7132 · outbound

This paper cites Kou, S., Hu, L., He, Z., Deng, Z., and Zhang, H.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning Kou, S., Hu, L., He, Z., Deng, Z., and Zhang, H

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.171455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 665a3857-097b-4d99-a28c-60edd1d6e172 · outbound

This paper cites EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.303471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 642cb122-0f95-4d18-bfd3-1eed2d9d1f47 · outbound

This paper cites Large Language Diffusion Models.

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

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.376925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30ed7448-ff04-4149-a2ae-a03ceff90ced · outbound

This paper cites Qian, Y .-Y ., Su, J., Hu, L., Zhang, P., Deng, Z., Zhao, P., and Zhang, H.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning Qian, Y .-Y ., Su, J., Hu, L., Zhang, P., Deng, Z., Zhao, P., and Zhang, H

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.404372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08312bbe-f7f8-4812-b3fc-6b4b35b2a898 · outbound

This paper cites Qwen2.5 Technical Report.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning Qwen2.5 Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.456254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24ca1cbf-1358-462b-8703-20735188147a · outbound

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

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.490906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c9038e8-082d-4646-a1e2-b759ed86e4af · outbound

This paper cites Wang, X., Xu, C., Jin, Y ., Jin, J., Zhang, H., and Deng, Z.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning Wang, X., Xu, C., Jin, Y ., Jin, J., Zhang, H., and Deng, Z

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.545572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c6f10af-c110-41dc-97f7-198d53a0046a · outbound

This paper cites Ye, J., Xie, Z., Zheng, L., Gao, J., Wu, Z., Jiang, X., Li, Z., and Kong, L.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning Ye, J., Xie, Z., Zheng, L., Gao, J., Wu, Z., Jiang, X., Li, Z., and Kong, L

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.603621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Reference 19

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c07cb2b-3121-4236-a156-102f8ee78344 · outbound

This paper cites Zhu, Y ., Wan, J., Liu, X., He, S., Wang, Q., Guo, X., Liang, T., Huang, Z., He, Z., and Qiu, X.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning Zhu, Y ., Wan, J., Liu, X., He, S., Wang, Q., Guo, X., Liang, T., Huang, Z., He, Z., and Qiu, X

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.710297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52184a1d-bc60-4a33-92f9-152df3cb409e · outbound

This paper cites 11 LightningRL: Breaking the Accuracy–Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning A.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning 11 LightningRL: Breaking the Accuracy–Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning A

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.753774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0f34ff7-4f5f-4bb9-9951-755ad1f7b349 · outbound

This paper cites Notably, LightningRL achieves exceptional inference speed, significantly outperforming the baselines.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning Notably, LightningRL achieves exceptional inference speed, significantly outperforming the baselines

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.792710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ad29a45-8315-4a6d-a37a-bd2cbb45667d · outbound

This paper cites dparallel: Learnable parallel decoding for dllms.arXiv preprint arXiv:2509.26488,.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning dparallel: Learnable parallel decoding for dllms.arXiv preprint arXiv:2509.26488,

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:06.784739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e50a3b0c-40b5-4d15-affa-ed18d5e79363 · outbound

This paper cites Diffusion-LM Improves Controllable Text Generation.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning Diffusion-LM Improves Controllable Text Generation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.250100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f17ac21-ece7-456e-97e1-c746dce835db · outbound

This paper cites Likelihood-Based Diffusion Language Models.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning Likelihood-Based Diffusion Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.094506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a91a15a5-c597-4a4f-b983-e534698bd366 · outbound

This paper cites DiffPO: A causal diffusion model for learning distributions of potential outcomes.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning DiffPO: A causal diffusion model for learning distributions of potential outcomes

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.338027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8f02295-77d3-4147-9ac6-0c5cb5d0258f · outbound

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

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:06.591593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52f0c2b9-843d-43b9-ab85-7cd6d9d53ed4 · outbound

This paper cites org/abs/2601.07568.

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning org/abs/2601.07568

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-03T02:38:07.430036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b27d0e8e-9d66-4651-b8a6-a507b627b1c6 · inbound

DMax: Aggressive Parallel Decoding for dLLMs cites this paper.

DMax: Aggressive Parallel Decoding for dLLMs LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-08-03T02:15:22.563508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 54612009-22a3-4466-b8e2-a04bc12cfa8a · inbound

DMax: Aggressive Parallel Decoding for dLLMs cites this paper.

DMax: Aggressive Parallel Decoding for dLLMs LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-08-03T02:15:22.563508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 18c0fe33-981c-4c7b-92fb-15d85d583c93 · inbound

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

TAD: Temporal-Aware Trajectory Self-Distillation for Fast and Accurate Diffusion LLM LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning

Reference 53

Resolution: malformed identifier; arxiv_id, observed 2026-08-03T02:15:22.563508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4e5c39db-ecb3-4f93-95a0-fd972894b91a · inbound

Multi-Block Diffusion Language Models cites this paper.

Multi-Block Diffusion Language Models LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-08-03T02:15:22.563508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7397b7b8-4bff-4691-b33f-164251f386e2 · inbound

Multi-Block Diffusion Language Models cites this paper.

Multi-Block Diffusion Language Models LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-08-03T02:15:22.563508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b6828c79-8b48-4cd2-b437-515298ed7d5a · 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 LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-08-03T02:15:22.563508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.