Paper Citation Record · LEDGER

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models

As of 23 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2508.05383.

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

pith.paper-citation-record.v1
2508.05383 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:29:17.102230Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

42 of 42 outbound references displayed

verified exact0
verified fuzzy0
unresolved42
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 80ad6a69-6d28-470a-a1e7-4609fbb6fd38 · outbound

This paper cites Seed1.5-VL Technical Report.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Seed1.5-VL Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:13.766583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66f41efe-fd1e-40ee-b23d-52eda21325e7 · outbound

This paper cites Learning to reason with llms, 2024.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Learning to reason with llms, 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:13.808513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7a78e0a-2303-4ced-8e0a-f587fe6416ab · outbound

This paper cites Gemini 2.5: Our most intelligent ai model, 2025.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Gemini 2.5: Our most intelligent ai model, 2025

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:13.911172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7ee3099-9567-4146-a212-0661e622810a · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:14.091099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 773c28a8-45e9-49ff-ab11-7031579c1417 · outbound

This paper cites Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? In European Conference on Computer Vision, pages 169–186.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? In European Conference on Computer Vision, pages 169–186

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:14.256851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd97cdbd-84ef-44a5-8e05-c975d9995c0a · outbound

This paper cites SOLIDGEO: Measuring Multimodal Spatial Math Reasoning in Solid Geometry.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models SOLIDGEO: Measuring Multimodal Spatial Math Reasoning in Solid Geometry

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:14.367560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17d1e031-80e0-44bd-a927-b968a3401fa6 · outbound

This paper cites We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:14.487310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf2837e5-30b2-4a4f-84b8-8c7912e0264c · outbound

This paper cites Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:14.682753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65d639d0-9eae-4eb5-a164-98cfa1390041 · outbound

This paper cites Mathscape: Evaluating mllms in multimodal math scenarios through a hierarchical benchmark.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Mathscape: Evaluating mllms in multimodal math scenarios through a hierarchical benchmark

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:14.868582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18cd1628-2a4b-4354-868e-acbceb063b63 · outbound

This paper cites R-Bench: Are your Large Multimodal Model Robust to Real-world Corruptions?.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models R-Bench: Are your Large Multimodal Model Robust to Real-world Corruptions?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:15.024275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9231b1b3-8ec4-4a54-9baa-29eb6e09b9dc · outbound

This paper cites Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:15.137929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad0ade1a-1244-40c8-b05e-4bc7fdd1d6a3 · outbound

This paper cites Scibench: Evaluating college-level scientific problem-solving abilities of large language models.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Scibench: Evaluating college-level scientific problem-solving abilities of large language models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:15.264012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bbd3274-5a24-4402-afc5-6da961b84d39 · outbound

This paper cites Scemqa: A scientific college entrance level multimodal question answering benchmark.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Scemqa: A scientific college entrance level multimodal question answering benchmark

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:15.392526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29b6a9d1-578d-4c3e-a2fa-cfa6d2e16e32 · outbound

This paper cites VNHSGE: VietNamese High School Graduation Examination Dataset for Large Language Models.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models VNHSGE: VietNamese High School Graduation Examination Dataset for Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:15.552942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 242b9482-5532-4ca9-b0a8-f34ff3e88156 · outbound

This paper cites Chemvlm: Exploring the power of multimodal large language models in chemistry area.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Chemvlm: Exploring the power of multimodal large language models in chemistry area

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:15.664277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c71bf73-9339-4b45-8e0b-b473c37bc94d · outbound

This paper cites ChemQuests: A Curated Chemistry Question-Answer Database Extracted from ChemRxiv papers.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models ChemQuests: A Curated Chemistry Question-Answer Database Extracted from ChemRxiv papers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:15.787610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d9b7562-70e3-4b43-8bd4-31a4e10348c3 · outbound

This paper cites Evaluating the symbol binding ability of large language models for multiple-choice questions in vietnamese general education.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Evaluating the symbol binding ability of large language models for multiple-choice questions in vietnamese general education

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:15.903931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48e8fdc2-78e4-493b-8bf5-b8d8d4134587 · outbound

This paper cites R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:16.036443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc2651ec-3676-420e-bd47-10df60088fe7 · outbound

This paper cites Reason-rft: Reinforcement fine-tuning for visual reasoning.arXiv preprint arXiv:2503.20752, 2025.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Reason-rft: Reinforcement fine-tuning for visual reasoning.arXiv preprint arXiv:2503.20752, 2025

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:16.106388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc0e6dd3-3e5a-460d-9af1-a39a376e33f0 · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:16.170654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e7e4c2b-afef-4f04-8e41-48b0bdee1539 · outbound

This paper cites Visual-RFT: Visual Reinforcement Fine-Tuning.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Visual-RFT: Visual Reinforcement Fine-Tuning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:16.338406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca86a00a-d62e-4365-a261-53a173b04924 · outbound

This paper cites Perception-R1: Pioneering Perception Policy with Reinforcement Learning.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:16.461188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e138b8bc-4358-41a5-ad59-8ba1c35ef888 · outbound

This paper cites R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:16.503129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f123ce55-4bbd-4388-82a6-b03a540296aa · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:16.575673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d551d9dd-76e3-45e6-81fb-cf68ba2e104f · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:16.646941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56d5df1a-0304-408c-9ae2-c3c583c00b7b · outbound

This paper cites Demystifying Long Chain-of-Thought Reasoning in LLMs.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Demystifying Long Chain-of-Thought Reasoning in LLMs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:16.703242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd7b64ca-ab64-45e6-ad91-8132ecccf183 · outbound

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

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Open r1: A fully open reproduction of deepseek-r1, january 2025

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:16.707048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a00dfc3d-725a-4f49-ba37-4f81fabc7e24 · outbound

This paper cites Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:16.745968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdd19e39-4745-4c4a-990f-a61fd25109b0 · outbound

This paper cites VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:16.807447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da953aed-ea43-48d5-a0f7-abd7a5884468 · outbound

This paper cites VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:16.856632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cda74db-115e-4711-927d-1919d9f1a0fb · outbound

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

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:16.968225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites RLPR: Extrapolating RLVR to General Domains without Verifiers.

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 9b1af818-1681-4458-bc65-be417c1fb148 · outbound

This paper cites Grpo-lead: A difficulty-aware reinforcement learning approach for concise mathematical reasoning in language models.arXiv preprint arXiv:2504.09696, 2025.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Grpo-lead: A difficulty-aware reinforcement learning approach for concise mathematical reasoning in language models.arXiv preprint arXiv:2504.09696, 2025

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:17.076702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28beb4d5-350f-44e3-a2c8-bcf574f38a30 · outbound

This paper cites Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:17.079340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f30538b-8588-4cba-add5-7cc3256747de · outbound

This paper cites rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:17.082217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 718a23d0-7989-4f4c-9022-a75a6ae2d9d8 · outbound

This paper cites R-PRM: Reasoning-Driven Process Reward Modeling.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models R-PRM: Reasoning-Driven Process Reward Modeling

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:17.085079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 875fc884-4447-4b56-a5d6-a8046ecc9574 · outbound

This paper cites MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:17.087874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47e5b366-9243-453c-a533-9142e13422e2 · outbound

This paper cites Reasonflux-prm: Trajectory-aware prms for long chain-of-thought reasoning in llms.arXiv preprint arXiv:2506.18896, 2025.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Reasonflux-prm: Trajectory-aware prms for long chain-of-thought reasoning in llms.arXiv preprint arXiv:2506.18896, 2025

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:17.090613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73badfde-fc94-4126-a8ee-a7377e5d6975 · outbound

This paper cites JudgeLM: Fine-tuned Large Language Models are Scalable Judges.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:17.093775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62a5a20b-5f9b-40b0-8555-230aa236155b · outbound

This paper cites Rm-r1: Reward modeling as reasoning.arXiv preprint arXiv:2505.02387, 2025.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Rm-r1: Reward modeling as reasoning.arXiv preprint arXiv:2505.02387, 2025

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:17.096872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e9bb82c-f8a2-4e86-8f86-93fc22aa75d7 · outbound

This paper cites Gram: A generative foundation reward model for reward generalization.arXiv preprint arXiv:2506.14175, 2025.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Gram: A generative foundation reward model for reward generalization.arXiv preprint arXiv:2506.14175, 2025

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:17.099452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa019db4-f9cb-4ba2-9b10-625f4ed9f6b5 · outbound

This paper cites ReasonGRM: Enhancing Generative Reward Models through Large Reasoning Models.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models ReasonGRM: Enhancing Generative Reward Models through Large Reasoning Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:17.102230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.