Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains | Paper Citation Record

Observation 4bcdf1b4-c21a-4413-bc33-70e03eb18358 · inbound

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models cites this paper.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.467130Z

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Observation e14f3f10-e97e-4664-b51d-4925cd83e528 · inbound

Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards cites this paper.

Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:18:14.066640Z

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Observation 5e84209f-bbff-45ee-a5d2-77e813fae459 · inbound

General-Reasoner: Advancing LLM Reasoning Across All Domains cites this paper.

General-Reasoner: Advancing LLM Reasoning Across All Domains Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:34:09.276522Z

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Observation 73c61492-c207-493b-b743-8d840017c1c7 · inbound

Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models cites this paper.

Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:17.653974Z

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Observation facf22d4-454e-4613-b858-c10da0a74038 · inbound

Reinforcing General Reasoning without Verifiers cites this paper.

Reinforcing General Reasoning without Verifiers Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:54.067551Z

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Observation cf464214-97c7-4498-990d-9e23b52bfaea · inbound

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning cites this paper.

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:02.793750Z

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Observation 645593a1-35a9-47e3-9965-95a705d71bbf · inbound

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning cites this paper.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:12.121976Z

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Observation b96aebd1-5915-490a-b807-7b216794f814 · inbound

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs cites this paper.

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:28.437391Z

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Unavailable: canonical work link unavailable.

Observation fa4c3211-c002-4827-8936-5f75068aeef6 · inbound

ReSpace: Text-Driven Autoregressive 3D Indoor Scene Synthesis and Editing cites this paper.

ReSpace: Text-Driven Autoregressive 3D Indoor Scene Synthesis and Editing Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T11:28:35.320702Z

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Unavailable: canonical work link unavailable.

Observation 4f20c883-72af-4be5-b670-ffd717f77947 · inbound

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library cites this paper.

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T06:02:33.035346Z

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Unavailable: canonical work link unavailable.

Observation 89f5da95-4b79-4e1e-ba65-f83acba760b6 · inbound

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning cites this paper.

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T05:09:45.062113Z

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Observation 45d137f3-ca87-4e2f-b01a-e084297c6e34 · inbound

From Emergence to Control: Probing and Modulating Self-Reflection in Language Models cites this paper.

From Emergence to Control: Probing and Modulating Self-Reflection in Language Models Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:39.063087Z

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Observation 7745fa08-d56a-4cc0-aa9c-f06996f5d17d · inbound

Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks cites this paper.

Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:52:14.093197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 65d37c96-ba03-4096-9c57-857ff75d8237 · inbound

Energy-Based Transformers are Scalable Learners and Thinkers cites this paper.

Energy-Based Transformers are Scalable Learners and Thinkers Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:28.038550Z

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Observation 03ff0fa0-99bd-4b98-b2c2-b7454de116c4 · inbound

One Token to Fool LLM-as-a-Judge cites this paper.

One Token to Fool LLM-as-a-Judge Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T18:15:38.987143Z

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Observation 0b6983d6-f37e-4f3d-acf4-257c3df171fc · inbound

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains cites this paper.

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:07:56.851371Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0ae26018-5913-4345-bf2f-319ccf727136 · inbound

The Policy Cliff: A Theoretical Analysis of Reward-Policy Maps in Large Language Models cites this paper.

The Policy Cliff: A Theoretical Analysis of Reward-Policy Maps in Large Language Models Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T17:56:41.062832Z

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Observation 7b93d9e6-be98-401e-aee1-b81ff7a36c70 · inbound

Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers cites this paper.

Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T16:37:52.916321Z

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Observation 459fb54b-206d-4965-8a55-b0e54227814b · inbound

Reverse Browser: Vector-Image-to-Code Generator cites this paper.

Reverse Browser: Vector-Image-to-Code Generator Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T05:46:44.417762Z

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Observation 500c22dd-a511-42f3-b0b0-879be3b0da6b · inbound

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs cites this paper.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:52.481344Z

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Observation 21974947-640f-41f2-956a-4a4e42720073 · inbound

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search cites this paper.

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:12:35.834905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5678ad83-14b1-4b82-b552-9a4d16097830 · inbound

CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts cites this paper.

CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:48.485814Z

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Observation f6d6e0de-6812-4916-84ef-98aeff15b891 · inbound

Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper Reasoning cites this paper.

Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper Reasoning Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:21:04.360338Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 49959a33-24e4-4b0d-861a-15ade233c683 · inbound

DVPO: Distributional Value Modeling-based Policy Optimization for LLM Post-Training cites this paper.

DVPO: Distributional Value Modeling-based Policy Optimization for LLM Post-Training Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:48:50.980608Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 553adc0d-e76a-4293-a47a-83b6d66855ed · inbound

CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning cites this paper.

CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:20:57.559827Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 53947a8e-5330-48d8-88c6-f47d8edd3061 · inbound

Specificity-aware reinforcement learning for fine-grained open-world classification cites this paper.

Specificity-aware reinforcement learning for fine-grained open-world classification Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:46:17.815819Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1570ade8-c9af-4dc6-bf9f-63b133f018d8 · inbound

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation cites this paper.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 106

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.644170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3b7189d9-5807-4d9e-aa2f-658142edfee5 · inbound

LH-Bench: Skill-Grounded Evaluation of Long-Horizon Agents on Subjective Enterprise Tasks cites this paper.

LH-Bench: Skill-Grounded Evaluation of Long-Horizon Agents on Subjective Enterprise Tasks Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T20:08:17.066898Z

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Observation a62ac229-1b51-47de-b77c-2b9ccaf8fd5b · inbound

Interpretable Electrophysiological Features of Resting-State EEG Capture Cortical Network Dynamics in Parkinsons Disease cites this paper.

Interpretable Electrophysiological Features of Resting-State EEG Capture Cortical Network Dynamics in Parkinsons Disease Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T14:23:49.346727Z

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Observation cbb70e96-f794-4e69-a379-9ec69c09355e · 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 Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:06:01.172294Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 369ad831-a096-4da0-8abc-13cba5e99796 · inbound

V-tableR1: Process-Supervised Multimodal Table Reasoning with Critic-Guided Policy Optimization cites this paper.

V-tableR1: Process-Supervised Multimodal Table Reasoning with Critic-Guided Policy Optimization Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:01:04.148354Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5803ac88-fbb8-4ee0-bba0-c31b7b85402d · inbound

Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring cites this paper.

Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T19:35:39.078929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b3786b5d-2427-4e79-8e10-970e17cfd6c1 · inbound

Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring cites this paper.

Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T02:15:52.434975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1dd83977-cef3-48d3-8789-8ceb9697ab7a · 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 Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:15:49.250698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6e20c37c-f7c7-41eb-ab24-00109f9543f2 · inbound

M2A: Synergizing Mathematical and Agentic Reasoning in Large Language Models cites this paper.

M2A: Synergizing Mathematical and Agentic Reasoning in Large Language Models Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:22.662442Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2ca204c-6241-40e0-afc0-1f11f80191cb · inbound

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents cites this paper.

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:38:05.525894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f31b556-3816-4be0-bc71-8924d6b7bc72 · inbound

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

Combinatorial Synthesis: Scaling Code RLVR via Atomic Decomposition and Recombination Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:12:47.109855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bfe80b35-bcae-4429-a91f-e2caf0a75a60 · inbound

CAST: Non-Privileged Clipped Asymmetric Self-Teaching with Advantage Flipping for GRPO cites this paper.

CAST: Non-Privileged Clipped Asymmetric Self-Teaching with Advantage Flipping for GRPO Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:26:01.064488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f305aa37-c9eb-46a2-9aa9-e80b02291d7d · 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 Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 70

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:02:33.947566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0569465f-718a-4fb8-91cd-7afc15e533d5 · inbound

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

GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T06:06:40.787545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 69cbd603-7104-40b4-853a-246a243078a3 · 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 Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:17:29.019297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 55788ff5-3d72-4a1a-888c-f2014b89a2f6 · inbound

Dense Reward for Multi-View 3D Reasoning with Global Maps and Local Views cites this paper.

Dense Reward for Multi-View 3D Reasoning with Global Maps and Local Views Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:39:45.338242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1bb171b7-5dd2-4e15-b5ba-78bbaeb0644f · inbound

PointVG-R: Internalizing Geometric Reasoning in MLLMs for Precise Pointing Localization via Visual Chain of Thought cites this paper.

PointVG-R: Internalizing Geometric Reasoning in MLLMs for Precise Pointing Localization via Visual Chain of Thought Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:19:57.794350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dcf008c4-a9b1-4f38-9e35-7bf8114e9a0c · inbound

BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards cites this paper.

BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:44:40.146628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 61f6e4fe-1eae-489a-950e-6014c1940867 · inbound

Benchmarking Frontier LLMs on Arabic Cultural and Sociolinguistic Knowledge: A Cross-Evaluation Framework with Human SME Ground Truth cites this paper.

Benchmarking Frontier LLMs on Arabic Cultural and Sociolinguistic Knowledge: A Cross-Evaluation Framework with Human SME Ground Truth Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:27:18.482991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0c369fed-3427-4cc4-84b1-b2f2437d9bc2 · inbound

Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments cites this paper.

Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 67

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T13:28:18.294461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 66b68307-6bdc-4878-ab54-31e38b2cac55 · inbound

MedUPS: Towards Diagnostic Assistance in Uncommon Medical Cases with Large Language Models cites this paper.

MedUPS: Towards Diagnostic Assistance in Uncommon Medical Cases with Large Language Models Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T00:39:15.338019Z

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Observation 52e9b7ae-8a61-4a64-b77f-673325afb5da · inbound

Don't Peek at the Answer: Outcome-Masked Group Relative Policy Optimization for Label-Free RLVR cites this paper.

Don't Peek at the Answer: Outcome-Masked Group Relative Policy Optimization for Label-Free RLVR Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T00:57:30.487540Z

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Unavailable: canonical work link unavailable.

Observation 2707c228-3d18-4c3a-96b0-dd1d011bc224 · inbound

Gradient Immunity: Null-Space Resistance to Malicious Fine-Tuning cites this paper.

Gradient Immunity: Null-Space Resistance to Malicious Fine-Tuning Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T10:46:10.723383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c2611e7-fe7e-4729-8abe-f6948bf32ead · inbound

MedCalc-R1: Knowledge-Guided Reward Framework for Medical Mathematical Reasoning cites this paper.

MedCalc-R1: Knowledge-Guided Reward Framework for Medical Mathematical Reasoning Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 9

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SoftmaxGRPO: Learning to Reason using Softmax Advantage Group Estimation cites this paper.

SoftmaxGRPO: Learning to Reason using Softmax Advantage Group Estimation Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

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