Paper Citation Record · LEDGER

Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2503.07065.

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

pith.paper-citation-record.v1
2503.07065 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:12:18.162015Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:09:54.970421Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c68ae557-5d86-4d4b-a033-12e69baae016 · inbound

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey cites this paper.

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 245

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:18:53.556644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2c866938-5ec6-4e64-b313-5723a5276481 · inbound

VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning cites this paper.

VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:56:07.673376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 87cfbd50-de8b-49ec-b945-027c72db7606 · inbound

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

VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T01:13:57.417184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 447b65fd-a8ba-4c2a-8a9d-28d9a619c78c · inbound

Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models cites this paper.

Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T05:12:18.162015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0ff539c-5fd0-4e91-aaa5-997b077ec6c6 · inbound

EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning cites this paper.

EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T23:27:27.670138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69ec2b47-087f-4ba7-b52a-c4cc0a292bf4 · inbound

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models cites this paper.

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-15T23:21:12.317779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef240fc9-f479-47ad-bb22-f648706214c8 · inbound

UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning cites this paper.

UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:50.648770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49a03a3e-854f-4b06-978e-666e8a225aa5 · inbound

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models cites this paper.

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 121

Resolution: unresolved; no resolver link, observed 2026-08-07T14:31:19.391570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c15369b9-d485-4683-a15b-39a08f08b63a · inbound

Align and Surpass Human Camouflaged Perception: Visual Refocus Reinforcement Fine-Tuning cites this paper.

Align and Surpass Human Camouflaged Perception: Visual Refocus Reinforcement Fine-Tuning Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:52.196940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fd999b5-d794-44e5-8d07-b494ae53ca2f · inbound

ZeroGUI: Automating Online GUI Learning at Zero Human Cost cites this paper.

ZeroGUI: Automating Online GUI Learning at Zero Human Cost Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:21.033702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6348801c-8c22-4cb9-8943-fd8dbb1ab974 · inbound

WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning cites this paper.

WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:05.136689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a7a9780-6cb9-4c16-a4e5-72318cf4db33 · inbound

ChartReasoner: Code-Driven Modality Bridging for Long-Chain Reasoning in Chart Question Answering cites this paper.

ChartReasoner: Code-Driven Modality Bridging for Long-Chain Reasoning in Chart Question Answering Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T04:38:32.144672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6acd7ba0-3709-48da-8847-e86b78f7681a · inbound

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval cites this paper.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:01.730564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a3c534e-f5b7-401f-8b45-8355bd13bd18 · inbound

CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning cites this paper.

CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T18:39:18.633525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c20257e-3e3b-4776-aef8-ab908f7d19ba · inbound

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning cites this paper.

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T06:52:07.977161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 06c3a419-31f2-4e3d-8846-29766c49ee89 · inbound

SyncLoop: A Multimodal Dual-Loop Framework for Self-Improving Mathematical Reasoning cites this paper.

SyncLoop: A Multimodal Dual-Loop Framework for Self-Improving Mathematical Reasoning Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T15:12:01.785071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3a197cc-5b96-4ff5-ae41-bd22d2977949 · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 141

Resolution: unresolved; no resolver link, observed 2026-08-05T20:28:55.647921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81da2cfc-2953-4d37-9707-0803e844cfca · inbound

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization cites this paper.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T23:11:33.680238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 994cb6c9-e3dc-4725-8a93-657b246f0fd7 · inbound

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.711477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fbcfb2d-1706-4683-aed3-2eb00a406eee · inbound

Rethinking Reward Signals in Video GRPO: When Scores Become Targets cites this paper.

Rethinking Reward Signals in Video GRPO: When Scores Become Targets Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T20:36:05.524886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be8d7fde-2bbf-49a6-83d9-053626d88997 · inbound

RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection cites this paper.

RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:36:35.334320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b4429a10-cffb-411e-9217-1b9d4f2b86c7 · inbound

Curr-RLCER:Curriculum Reinforcement Learning For Coherence Explainable Recommendation cites this paper.

Curr-RLCER:Curriculum Reinforcement Learning For Coherence Explainable Recommendation Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:35:49.933305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4c59afd4-f3ee-41e1-bbb5-a5d8f8f33cc3 · inbound

S-GRPO: Unified Post-Training for Large Vision-Language Models cites this paper.

S-GRPO: Unified Post-Training for Large Vision-Language Models Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:22:37.495818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 80d34535-592e-4bde-815e-ce842d8991ec · inbound

S-GRPO: Unified Post-Training for Large Vision-Language Models cites this paper.

S-GRPO: Unified Post-Training for Large Vision-Language Models Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T16:10:54.025142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1b1a740-f640-4f1f-9599-3afc69605ee2 · inbound

DARE: Difficulty-Adaptive Reinforcement Learning with Co-Evolved Difficulty Estimation cites this paper.

DARE: Difficulty-Adaptive Reinforcement Learning with Co-Evolved Difficulty Estimation Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:16:19.353516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e1d6424c-6e84-42cb-abdf-bcddad31fd48 · inbound

RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology cites this paper.

RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:56:21.641871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22522478-2499-4884-aed2-626270644382 · inbound

D$^2$Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning cites this paper.

D$^2$Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:22:45.283893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7cb9933f-e0ff-4e72-9b76-03f0233c8ed6 · inbound

Towards One-to-Many Temporal Grounding cites this paper.

Towards One-to-Many Temporal Grounding Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.688274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e7c2e331-f3c0-4d96-ab6b-e6e9a403e464 · inbound

Stage-1 Controls the Entropy Regime, Not the Outcome cites this paper.

Stage-1 Controls the Entropy Regime, Not the Outcome Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:17:29.710973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation efe7a114-88d6-46da-9f60-3ac4fa777060 · 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 Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:39:45.368196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f5baae0b-b052-45ef-9647-37a64218d44a · inbound

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models cites this paper.

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 176

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:09:54.971976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.