Paper Citation Record · LEDGER

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing

As of 13 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.00208.

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

pith.paper-citation-record.v1
2607.00208 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

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

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact15
verified fuzzy2
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 058189e0-c835-45e1-a725-37c1f7c7f3e2 · outbound

This paper cites Block diffusion: Interpolating between autoregres- sive and diffusion language models.

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing Block diffusion: Interpolating between autoregres- sive and diffusion language models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T21:31:30.099733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ae3f3e96-0d51-4921-a785-b7b6a7c3554a · outbound

This paper cites Program Synthesis with Large Language Models.

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing Program Synthesis with Large Language Models

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T19:07:17.256096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 67dfd7bf-37f5-4a16-869c-f5c679559e45 · outbound

This paper cites LLaDA2.0: Scaling Up Diffusion Language Models to 100B.

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing LLaDA2.0: Scaling Up Diffusion Language Models to 100B

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T19:07:17.201188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 757aae34-f088-4f4c-91ba-cc626befbf28 · outbound

This paper cites Sdar: A synergistic diffusion- autoregression paradigm for scalable sequence generation.

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing Sdar: A synergistic diffusion- autoregression paradigm for scalable sequence generation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T21:31:30.097678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bd18ce18-3aa0-4098-8411-c1663c3f9614 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing Training Verifiers to Solve Math Word Problems

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-02T19:07:17.222166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 17f18651-c594-4135-a0f5-db5405deded9 · outbound

This paper cites DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models.

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-02T19:07:17.247635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

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

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 2026-08-13T06:32:02.005865+00:00.

Observation 443aa055-7659-442c-847a-134bbc50d529 · outbound

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

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing S2D2: Fast Decoding for Diffusion LLMs via Training-Free Self-Speculation

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-02T19:07:17.197492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c415b4ee-b606-42a6-99cc-6a5ad4ab2cff · outbound

This paper cites Mdpo: Overcom- ing the training-inference divide of masked diffusion lan- guage models.arXiv preprint arXiv:2508.13148.

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing Mdpo: Overcom- ing the training-inference divide of masked diffusion lan- guage models.arXiv preprint arXiv:2508.13148

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:07:17.261403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cf5d75d4-b5ee-4b2a-becc-4d962284e6a9 · outbound

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

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing Measuring Mathematical Problem Solving With the MATH Dataset

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-02T19:07:17.215768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b6828c79-8b48-4cd2-b437-515298ed7d5a · outbound

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

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 2026-08-13T06:32:02.005865+00:00.

Observation 037c166a-20dd-4130-a804-44adab04a24a · outbound

This paper cites INTELLECT-1 Technical Report.

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing INTELLECT-1 Technical Report

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T19:07:17.225982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e05d788a-0493-4782-aaf3-91810aec6de4 · outbound

This paper cites Efficient and stable reinforcement learning for diffusion language models.

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing Efficient and stable reinforcement learning for diffusion language models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:07:17.225000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a28f1dc4-4b64-45fb-a232-d26085f01146 · outbound

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

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing Understanding R1-Zero-Like Training: A Critical Perspective

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-02T19:07:17.210789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1ac6376c-72ee-4f81-957c-e265c37c4ffc · outbound

This paper cites Principled rl for diffusion llms emerges from a sequence-level perspective.

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing Principled rl for diffusion llms emerges from a sequence-level perspective

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:07:17.250645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1f385fff-abbb-4f1d-ad6b-750fb25e5c53 · outbound

This paper cites Qwen2.5 Technical Report.

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing Qwen2.5 Technical Report

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T19:07:17.195163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 955b466b-39a1-4988-ba96-fc787d11f8f0 · outbound

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

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-02T19:07:17.255543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b5a74a9a-aafa-4ab5-b021-b39f7b5dac93 · outbound

This paper cites wd1: Weighted policy optimization for reasoning in diffusion language models.arXiv preprint arXiv:2507.08838.

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing wd1: Weighted policy optimization for reasoning in diffusion language models.arXiv preprint arXiv:2507.08838

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T19:07:17.258443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d8b6202e-0214-4594-91ac-96144646625a · outbound

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

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing d2: Improving Reasoning in Diffusion Language Models via Trajectory Likelihood Estimation

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T19:07:17.208155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 94e28859-584a-4161-93de-7a8b3a6ea080 · outbound

This paper cites Dream 7B: Diffusion Large Language Models.

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing Dream 7B: Diffusion Large Language Models

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-02T19:07:17.219746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 334c046e-d7b8-4eb2-bf88-dafc79317514 · outbound

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

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:07:17.227808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ad17726e-1cdf-4b93-a63e-2e08b869774a · outbound

This paper cites Group Sequence Policy Optimization.

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing Group Sequence Policy Optimization

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-02T19:07:17.220688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b6909602-4788-4e12-ab7e-23cedd233963 · outbound

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

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-02T19:07:17.253009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.