Paper Citation Record · LEDGER

RLPR: Extrapolating RLVR to General Domains without Verifiers

As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 25 inbound Pith citation observations for arXiv:2506.18254.

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

pith.paper-citation-record.v1
2506.18254 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:01:06.335633Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:53:04.646543Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:38.225670Z

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy1
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ce1e0782-368f-4239-bf9f-e56f7cfbb7bd · outbound

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

RLPR: Extrapolating RLVR to General Domains without Verifiers The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.238527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83bf481e-c9db-43c0-9005-3ff1c6c63510 · outbound

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

RLPR: Extrapolating RLVR to General Domains without Verifiers DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.262860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd05f7ee-8c26-440d-9aff-3e0904018d19 · outbound

This paper cites The Llama 3 Herd of Models.

RLPR: Extrapolating RLVR to General Domains without Verifiers The Llama 3 Herd of Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.274204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 915432fb-4374-430c-ab42-05abd501686e · outbound

This paper cites Andreas Hochlehnert, Hardik Bhatnagar, Vishaal Udandarao, Samuel Albanie, Ameya Prabhu, and Matthias Bethge.

RLPR: Extrapolating RLVR to General Domains without Verifiers Andreas Hochlehnert, Hardik Bhatnagar, Vishaal Udandarao, Samuel Albanie, Ameya Prabhu, and Matthias Bethge

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.278630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97457065-455a-4e5c-b1cc-e45db9ccbe59 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

RLPR: Extrapolating RLVR to General Domains without Verifiers REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.282949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b093e1a4-50d4-4928-b73b-a30a6c323577 · outbound

This paper cites OpenAI o1 System Card.

RLPR: Extrapolating RLVR to General Domains without Verifiers OpenAI o1 System Card

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.287522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c83b5507-431e-4b0f-8ebe-693c7648aaa6 · outbound

This paper cites Generative Reward Models.

RLPR: Extrapolating RLVR to General Domains without Verifiers Generative Reward Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.296452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a89878a5-ce4a-4ccd-a40a-f1246badded1 · outbound

This paper cites David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, and Samuel R.

RLPR: Extrapolating RLVR to General Domains without Verifiers David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, and Samuel R

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:01:06.766493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55a7c6c6-2f04-4b3b-9f3b-ea12f01412be · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

RLPR: Extrapolating RLVR to General Domains without Verifiers GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.305112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58473a10-9b6e-429b-8fd1-3e51499dcf72 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

RLPR: Extrapolating RLVR to General Domains without Verifiers HybridFlow: A Flexible and Efficient RLHF Framework

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.309221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb696aa5-43c6-40a4-a78f-a3e0591b508b · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

RLPR: Extrapolating RLVR to General Domains without Verifiers Gemma 2: Improving Open Language Models at a Practical Size

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.313376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d7910cf-5702-4846-914c-ac909ebe0710 · outbound

This paper cites Qwen3 Technical Report.

RLPR: Extrapolating RLVR to General Domains without Verifiers Qwen3 Technical Report

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.317339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba65bfeb-b3e1-4126-9b51-18e832c67aef · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

RLPR: Extrapolating RLVR to General Domains without Verifiers MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.321596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c556a74e-9b47-48f6-9d73-113596c00028 · outbound

This paper cites SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.

RLPR: Extrapolating RLVR to General Domains without Verifiers SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.326330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf019ec0-544f-4ace-a61c-286476ddd018 · outbound

This paper cites Reinforcing General Reasoning without Verifiers.

RLPR: Extrapolating RLVR to General Domains without Verifiers Reinforcing General Reasoning without Verifiers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.330755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ed8ba76-2a25-42b4-b29a-c53e311cf65c · outbound

This paper cites TTRL: Test-Time Reinforcement Learning.

RLPR: Extrapolating RLVR to General Domains without Verifiers TTRL: Test-Time Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.335633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 542646f7-09b1-40cf-9517-e33f32fbd12e · outbound

This paper cites doi: 10.1016/S0031-3203(96)00142-2.

RLPR: Extrapolating RLVR to General Domains without Verifiers doi: 10.1016/S0031-3203(96)00142-2

Reference 1997

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.243921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9a32af9-867a-4e69-a782-255be97d715d · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

RLPR: Extrapolating RLVR to General Domains without Verifiers Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.258076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff3f062b-a510-4fb4-a47e-b4f2e32cd0a3 · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

RLPR: Extrapolating RLVR to General Domains without Verifiers Solving Quantitative Reasoning Problems with Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.292222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1605fa3-3497-438e-af25-46e2dd63d94d · outbound

This paper cites TheoremQA: A Theorem-driven Question Answering dataset.

RLPR: Extrapolating RLVR to General Domains without Verifiers TheoremQA: A Theorem-driven Question Answering dataset

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.253262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b70abe72-b100-4552-9a3a-9f1fec8ff71d · outbound

This paper cites an unresolved cited work.

RLPR: Extrapolating RLVR to General Domains without Verifiers Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:01:06.780875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c3a115a9-4e4a-4d45-8caa-b5e6e63d6d05 · outbound

This paper cites FullStack Bench: Evaluating LLMs as Full Stack Coders.

RLPR: Extrapolating RLVR to General Domains without Verifiers FullStack Bench: Evaluating LLMs as Full Stack Coders

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:06.248686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 79755e74-e6e5-458f-b5dd-2e89aacd48ca · inbound

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning cites this paper.

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T14:53:04.646543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8969b9a4-7393-42e5-95c1-4d046f3c9338 · inbound

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models cites this paper.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:17.022564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c1750ea-d176-45cf-a88a-bc2dd7c10d68 · inbound

An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal cites this paper.

An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T23:25:50.287093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06e66c7c-7c58-4988-8903-f54b84e49500 · inbound

Do Ethical AI Principles Matter to Users? A Large-Scale Analysis of User Sentiment and Satisfaction cites this paper.

Do Ethical AI Principles Matter to Users? A Large-Scale Analysis of User Sentiment and Satisfaction RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T23:07:12.004152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86079210-c35f-4451-aea5-043af72958f2 · inbound

Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision cites this paper.

Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:46:34.115346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 054c9827-e6dc-4db5-8108-e7bc3b7f6fd8 · inbound

TRINITY: An Evolved LLM Coordinator cites this paper.

TRINITY: An Evolved LLM Coordinator RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:21:24.781976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b790b15-16be-4b3e-9cfc-f1531b9f4188 · inbound

StaRPO: Stability-Augmented Reinforcement Policy Optimization cites this paper.

StaRPO: Stability-Augmented Reinforcement Policy Optimization RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:20:59.963670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c47942a3-ba62-454a-aa9f-655e9224bdec · inbound

Trust Your Memory: Verifiable Control of Smart Homes through Reinforcement Learning with Multi-dimensional Rewards cites this paper.

Trust Your Memory: Verifiable Control of Smart Homes through Reinforcement Learning with Multi-dimensional Rewards RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:06:01.178591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3a2be3a4-1eb2-4e55-bd07-8f2556bdeb5d · inbound

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment cites this paper.

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:25:55.287022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation edb6943d-e58d-4e84-8861-e882d01b06da · inbound

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning cites this paper.

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 160

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:15:49.503384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 85edc4c9-1f3d-4cd6-af42-7efe2ab62f6f · inbound

G-Zero: Self-Play for Open-Ended Generation from Zero Data cites this paper.

G-Zero: Self-Play for Open-Ended Generation from Zero Data RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:11:24.558508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72cb19f3-c96d-4734-b47f-68a9b6dacd23 · inbound

Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities cites this paper.

Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:22:41.998128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 901cfdcf-ce73-4be3-b531-742fd2ea79ef · inbound

Selective Off-Policy Reference Tuning with Plan Guidance cites this paper.

Selective Off-Policy Reference Tuning with Plan Guidance RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:47:05.185587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation de309758-8d6d-4c05-9cdc-a0fcca03b0d7 · inbound

Selective Off-Policy Reference Tuning with Plan Guidance cites this paper.

Selective Off-Policy Reference Tuning with Plan Guidance RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:22:59.347610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d5447ff0-8b0c-4b8d-ab76-5f6809095f65 · inbound

LamPO: A Lambda Style Policy Optimization for Reasoning Language Models cites this paper.

LamPO: A Lambda Style Policy Optimization for Reasoning Language Models RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:13:58.419624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2571351c-abdd-42c0-88d9-539d5988e6cb · inbound

Combinatorial Synthesis: Scaling Code RLVR via Atomic Decomposition and Recombination cites this paper.

Combinatorial Synthesis: Scaling Code RLVR via Atomic Decomposition and Recombination RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:12:47.141445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 01487990-7a6a-4622-869a-f7e4c6e99a89 · inbound

CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts cites this paper.

CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:02:34.047073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 67d565f6-b0ee-485c-81a4-c78fa1535f7f · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:56:13.380190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b35d5da-b98f-4acc-a2b8-543a0c429259 · inbound

GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling cites this paper.

GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:06:40.808650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1e2ad807-18ad-4438-a044-3e8a0c8d781a · inbound

Reasoning Arena: Trace Tournaments When Verifiable Rewards Fall Short cites this paper.

Reasoning Arena: Trace Tournaments When Verifiable Rewards Fall Short RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:17:29.542547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b3e06ca5-3c98-46a5-a471-ab315d6f3d88 · inbound

CapRL++: Unified Reinforcement Learning with Verifiable Rewards for Dense Image and Video Captioning cites this paper.

CapRL++: Unified Reinforcement Learning with Verifiable Rewards for Dense Image and Video Captioning RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:17:29.006584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91a78fa8-cb7c-40a4-be49-3ff58b70e6b9 · inbound

Sakana Fugu Technical Report cites this paper.

Sakana Fugu Technical Report RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 243

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:29:38.227309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3ecd9f5c-fb34-47fb-93e2-e73d4881b216 · inbound

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning cites this paper.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T12:46:04.176578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b24dbb89-1a3f-4931-9a84-47e8a977714b · inbound

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning cites this paper.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T01:57:53.821375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4403b786-7262-4849-adda-33fb400c4398 · inbound

StepX-Edge: An On-Device UI Vision-Language Model via Architecture-Training-Deployment Co-Design cites this paper.

StepX-Edge: An On-Device UI Vision-Language Model via Architecture-Training-Deployment Co-Design RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T16:31:11.704541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.