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Paper Citation Record · LEDGER

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning

As of 7 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 7 inbound Pith citation observations for arXiv:2507.22607.

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

pith.paper-citation-record.v1
2507.22607 v2

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:35:17.065465Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:02:19.508421Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T04:59:04.384350Z

Reference resolution

84 of 84 outbound references displayed

  • verified exact1
  • verified fuzzy23
  • unresolved59
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54049b08-9391-4379-9fbf-20e52d30d42c · outbound

This paper cites write newline.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning write newline

Reference 1

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no resolver link, observed 2026-08-06T11:35:10.477882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:10.477882Z digest=sha256:49821f58dd45d498fbf59764115aaea7ca3ab99a9241d04645ce2cf97b32025b

Observation 13042578-5ec5-4f8c-944d-e5a51be5cf31 · outbound

This paper cites Lawrence Zitnick, and Devi Parikh.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Lawrence Zitnick, and Devi Parikh

Reference 2

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no resolver link, observed 2026-08-06T11:35:10.557456Z

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source=arxiv_source observed=2026-08-06T11:35:10.557456Z digest=sha256:39c957ef98d3cef7d18cd5cff18fe99bd502cc939f73b9ae26f539bebe00cda1

Observation 9f1e2dce-30c4-4672-9782-c4b5718fdb86 · outbound

This paper cites Online difficulty filtering for reasoning oriented reinforcement learning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Online difficulty filtering for reasoning oriented reinforcement learning

Reference 3

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no resolver link, observed 2026-08-06T11:35:10.638199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:10.638199Z digest=sha256:537a80665025527c5f5846ccd0d8a39fa7291b64053e2f6f8a83c75b877967ed

Observation d7176cc5-e0ac-423c-885b-b039634e5bd4 · outbound

This paper cites Qwen2.5-VL Technical Report.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Qwen2.5-VL Technical Report

Reference 4

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no resolver link, observed 2026-08-06T11:35:10.725559Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:10.725559Z digest=sha256:7eaf97b699e80b520478e58f0f3b9698e7ef9d9f5bbbb9c19f5ad1c1c6608625

Observation a63931d8-ab36-4a5e-9ac2-e55b1ce0d650 · outbound

This paper cites Why reasoning matters? a survey of advancements in multimodal reasoning (v1).

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Why reasoning matters? a survey of advancements in multimodal reasoning (v1)

Reference 5

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no resolver link, observed 2026-08-06T11:35:10.789782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:10.789782Z digest=sha256:8919c8eb21bdaae89e366cda74af670a3a457072e35a23ebd6f4632e6b626938

Observation 21186ae1-501d-4c0f-aca8-09281ecef484 · outbound

This paper cites MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models

Reference 6

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no resolver link, observed 2026-08-06T11:35:10.875843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:10.875843Z digest=sha256:bc9f40a5033a51f6048f345e18870bccd995e36e4ace28cc50f6119b24af7f8d

Observation 964d3a2c-fc91-4a66-8762-27fcf425b58a · outbound

This paper cites An augmented benchmark dataset for geometric question answering through dual parallel text encoding.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning An augmented benchmark dataset for geometric question answering through dual parallel text encoding

Reference 7

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no resolver link, observed 2026-08-06T11:35:10.966973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:10.966973Z digest=sha256:4719b49dba60595c4778a6849082e8719c2cda13f6ebdac8918f019f33f69d67

Observation 040fa2d6-44dc-4bbf-99c6-812fbc13ae04 · outbound

This paper cites MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems

Reference 8

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no resolver link, observed 2026-08-06T11:35:11.054606Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:11.054606Z digest=sha256:94d4508a1a4878cd3caee7b56d5709f1f7593df23cf54404dcf773d335a572d2

Observation 2002dd82-d613-494e-9ef1-9728bcaa0b7a · outbound

This paper cites Are we on the right way for evaluating large vision-language models? In Advances in Neural Information Processing Systems, volume 37, pages 27056--27087.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Are we on the right way for evaluating large vision-language models? In Advances in Neural Information Processing Systems, volume 37, pages 27056--27087

Reference 9

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no resolver link, observed 2026-08-06T11:35:11.122102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:11.122102Z digest=sha256:5a4a8bed90e9f7255b7fbbfac04194cf7746c402b878f0979b1b8a79f967447c

Observation 18b332d0-2250-4ab4-8be9-6de1ac4d3f13 · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 10

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source=arxiv_source observed=2026-08-06T11:35:11.199513Z digest=sha256:3acf9893699adea414affd28905d6ba82077c672bbeb2dfa13ba5f9d17648d3c

Observation 98c1c08e-f4f6-4914-8582-a873fff20c39 · outbound

This paper cites GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning

Reference 11

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:11.261146Z digest=sha256:5e1e67ba9dca63fa3d710d00ea87f1c3079da7843bb06f09b24e3fe0cac2c293

Observation 741ccbd2-bd02-4fae-937f-71dfa9914d91 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 12

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no resolver link, observed 2026-08-06T11:35:11.322903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:11.322903Z digest=sha256:8ccb2552758d16a36931cd3993c47d669e7fbd9f22b86889ab3edaa74f88a5c5

Observation 3fc652ec-75b4-4ff7-83b7-209bed591f5b · outbound

This paper cites Process Reinforcement through Implicit Rewards.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Process Reinforcement through Implicit Rewards

Reference 13

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no resolver link, observed 2026-08-06T11:35:11.396601Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:11.396601Z digest=sha256:4ef6ef8e9f4fdfcbc52c8e73e6e02e8d4ade81116f4baa4e08757b262c8526bc

Observation 7bf97d87-532a-4cea-a4d4-6255436cb00c · outbound

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

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 14

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no resolver link, observed 2026-08-06T11:35:11.478886Z

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source=arxiv_source observed=2026-08-06T11:35:11.478886Z digest=sha256:27c717a12020ddd979b09fa8620b9f0e9262479b2c0c73daaf1014e9489f0bef

Observation 3eaa11f0-5426-4e9c-8fb3-279101544562 · outbound

This paper cites OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles

Reference 15

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no resolver link, observed 2026-08-06T11:35:11.551556Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:11.551556Z digest=sha256:931709ffd980623ed8db4d5cd832d1c6420059669f85bbdc736496dcd9de6462

Observation 12e36423-71e4-45c6-ba43-8731c8fc571f · outbound

This paper cites Learning to Reason at the Frontier of Learnability.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Learning to Reason at the Frontier of Learnability

Reference 16

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verified exact
local_arxiv, observed 2026-08-06T11:35:19.260704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:11.631063Z digest=sha256:4e362a08055115d25532bb29db1b114c678b149c8791483d59f1c6f35ddd0c02

Observation 7dc2e68f-da02-49c7-99ce-323a4165054e · outbound

This paper cites Training reasoning model with dynamic advantage estimation on reinforcement learning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Training reasoning model with dynamic advantage estimation on reinforcement learning

Reference 17

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raw_fallback, observed 2026-08-06T11:35:20.532596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:11.724692Z digest=sha256:86f75329ff81c5149757362cf9fa147b6c5ca5066ddcd32f2e853790fa4332c6

Observation 5674d609-ce4d-4451-9ee5-3abafcfda2f3 · outbound

This paper cites Seed1.5-VL Technical Report.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Seed1.5-VL Technical Report

Reference 18

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no resolver link, observed 2026-08-06T11:35:11.788450Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:11.788450Z digest=sha256:a4a78c1564c279bf4456890e23547d6778b8d6faff69eecca952f1c676222171

Observation b7ae7c65-1c24-4eef-8281-58c46bfdc0d1 · outbound

This paper cites Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 19

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source=arxiv_source observed=2026-08-06T11:35:11.882839Z digest=sha256:9180fbd9f795e6c3689f3278eae7b12ee099deaedcf86fb22ecffeb1b4020153

Observation 070f3235-909a-44d8-9ed8-e02ccc974393 · outbound

This paper cites Geometry3k dataset.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Geometry3k dataset

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T11:35:20.505371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:11.983279Z digest=sha256:cc15da093a4d87276d2e2d639b6e435333c0dcc79e4206e5c977c7070d766f38

Observation 59c27b3d-f3ee-47fc-be56-057b04bcc0d5 · outbound

This paper cites Praxis-vlm: Vision-grounded decision making via text-driven reinforcement learning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Praxis-vlm: Vision-grounded decision making via text-driven reinforcement learning

Reference 21

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source=arxiv_source observed=2026-08-06T11:35:12.073283Z digest=sha256:65dbb8f97d658d3a02251360d0d95d5d4aeeb208e351d887ee94658592bb8250

Observation 55ae742c-f31d-4b6b-980d-f5439f9f194e · outbound

This paper cites From pixels to insights: A survey on automatic chart understanding in the era of large foundation models.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning From pixels to insights: A survey on automatic chart understanding in the era of large foundation models

Reference 22

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metadata mismatch
raw_fallback, observed 2026-08-06T11:35:19.059231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:12.174381Z digest=sha256:a21e09cef96d6b2b4ecbff6e3f39e37ac8e1ad35e9222d06511701bbae1b538f

Observation 3eea1caa-c8c4-474a-adc1-dec8fc0de83b · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 23

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source=arxiv_source observed=2026-08-06T11:35:12.269450Z digest=sha256:b96f902d404f0c50ccba24516cd8f4dfdc7f241bcb56e775245f6445d4d8c81a

Observation 622e4ddf-f732-447a-a298-7713926759af · outbound

This paper cites Dvqa: Understanding data visualizations via question answering.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Dvqa: Understanding data visualizations via question answering

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T11:35:20.482903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:12.368197Z digest=sha256:b136e3a02b8d5a6a1bb4495de6b8c26e638dc9e72642537395891eb5e06044c8

Observation 09ef1428-3740-44a4-a34f-bea91068c955 · outbound

This paper cites FigureQA: An Annotated Figure Dataset for Visual Reasoning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning FigureQA: An Annotated Figure Dataset for Visual Reasoning

Reference 25

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no resolver link, observed 2026-08-06T11:35:12.431479Z

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source=arxiv_source observed=2026-08-06T11:35:12.431479Z digest=sha256:fc5d2a41cf2af127fe9583ff7da0b421056daf9bd9e4e5b45f4ecf0c348b23d4

Observation b36d46da-ae96-4ffb-ad51-1332e75d90ed · outbound

This paper cites Geomverse: A systematic evaluation of large models for geometric reasoning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Geomverse: A systematic evaluation of large models for geometric reasoning

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T11:35:20.448068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:12.520852Z digest=sha256:4f415c099fefa02efe0f8a5a71b3638088fa980915745cf2669851cb5d9be0d9

Observation 5c6a870b-dc3e-4ef8-b08b-8261a036c6ec · outbound

This paper cites A Diagram Is Worth A Dozen Images.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning A Diagram Is Worth A Dozen Images

Reference 27

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no resolver link, observed 2026-08-06T11:35:12.624405Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:12.624405Z digest=sha256:c7d9c24fe2cb59444d41643d2c378cec97e57698a8552bec84beeaacc419a990

Observation c6f4bba1-95a3-4d4f-8797-624efe99f063 · outbound

This paper cites Are you smarter than a sixth grader? textbook question answering for multimodal machine comprehension.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Are you smarter than a sixth grader? textbook question answering for multimodal machine comprehension

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T11:35:20.409113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:12.686979Z digest=sha256:d24aa05a142073c0c457db6e4f1cba0d10bf42cdad13c1d64a52271637dfa8ca

Observation 234da070-10b5-47d5-8378-a80fbfd889af · outbound

This paper cites Kimi-VL Technical Report.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Kimi-VL Technical Report

Reference 30

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no resolver link, observed 2026-08-06T11:35:12.869983Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:12.869983Z digest=sha256:b4ee74265a2d386e343eb9cfad16658d8426e2d72d53cf64dfe496c39e3b7ca5

Observation 611e5043-5787-4838-90a4-b76be642e8ca · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Efficient memory management for large language model serving with pagedattention

Reference 31

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no resolver link, observed 2026-08-06T11:35:12.957353Z

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source=arxiv_source observed=2026-08-06T11:35:12.957353Z digest=sha256:d3bc8ad64d7ae6df96e4a6e176713b2304188119be4f1cb2267054beca1ef865

Observation 85361d45-7f65-48c7-918a-224922dd1a17 · outbound

This paper cites Mmr1: Advancing the frontiers of multimodal reasoning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Mmr1: Advancing the frontiers of multimodal reasoning

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T11:35:20.381844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:13.052895Z digest=sha256:3810e30863c4ddbfc754e7b6ef10a800fbfda84be92383cc4fd4f763519f075e

Observation 14388c57-3db9-452f-8096-6b0e5b080ed1 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning LLaVA-OneVision: Easy Visual Task Transfer

Reference 33

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unresolved
no resolver link, observed 2026-08-06T11:35:13.181649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:13.181649Z digest=sha256:faa3560f4c87786ca2bb68f04c566cea6609f7c12b713f437506c7324c9d63e3

Observation bd5aab48-f995-4ddb-9d12-b63be513e705 · outbound

This paper cites Multimodal A r X iv: A dataset for improving scientific comprehension of large vision-language models.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Multimodal A r X iv: A dataset for improving scientific comprehension of large vision-language models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:20.351887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:13.295210Z digest=sha256:f3b5e80330d355909d9460983043e69edf955953a684eaf1ffc978cf12661891

Observation 9d919eb4-5b50-4b83-a92f-34d7ca3bfdd8 · outbound

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

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models

Reference 35

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no resolver link, observed 2026-08-06T11:35:13.370466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:13.370466Z digest=sha256:2315f41e838629262b6a0062b49a99c67eee660512b07933bb1ebc9e0dd29164

Observation 000d71fa-0e5f-4399-95cf-096f43ec2211 · outbound

This paper cites an unresolved cited work.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Unresolved cited work

Reference 36

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raw_fallback, observed 2026-08-06T11:35:20.331929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:13.449206Z digest=sha256:7782a9b8860ca4e96b235a6a11fa713310e1ba8d99306859da189dade3377b76

Observation a272faa2-9efb-4ed2-af7d-868140e90a10 · outbound

This paper cites CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical Reasoning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical Reasoning

Reference 37

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no resolver link, observed 2026-08-06T11:35:13.544048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:13.544048Z digest=sha256:d1c434f74373ccc8163d1016208d1d324712487cfd7c20dce80f3b7d80cd61fb

Observation 19c91810-f651-48d3-a55c-bbbe38e6c9f2 · outbound

This paper cites Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:13.646813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:13.646813Z digest=sha256:13e5da95fa9eeced5e0f0b9176ef84494cf27a954488d795ee70ff2b5955c40b

Observation d2c639ba-576c-4690-96aa-5dc51cf17fac · outbound

This paper cites OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:13.696453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:13.696453Z digest=sha256:5198a5869eaac0c8c10b744288122abf656b85711e4539f87ed5a047fa70fe1c

Observation 3e4bc9f4-029d-4427-ac69-62e27d52f372 · outbound

This paper cites I nter- GPS : Interpretable geometry problem solving with formal language and symbolic reasoning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning I nter- GPS : Interpretable geometry problem solving with formal language and symbolic reasoning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:20.306826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:13.757407Z digest=sha256:990958aaff10653e1ee28e8d8edb574ccfa6d680d79bc2e575c80ed73b7dcf4a

Observation d3241435-0bc0-48cf-92ba-75d970ca1ee3 · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:20.268566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:13.842509Z digest=sha256:02e335c3b0ff47a583f2b32b22a7d55a096e25318413a9953b7fa2499fecf950

Observation 63767ebc-06a4-452e-bba5-d17dfa11336a · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:20.238200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:13.937441Z digest=sha256:5a421d97a25a54a87e46263d8366cc681540eb4d17cb25718ff676764bca2fd2

Observation 6e8eedeb-dd89-418b-9865-3f956500fb27 · outbound

This paper cites Dynamic prompt learning via policy gradient for semi-structured mathematical reasoning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Dynamic prompt learning via policy gradient for semi-structured mathematical reasoning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:20.214060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:14.041384Z digest=sha256:698b75e36179dcc2f670d9bee11c791cbeb64a20cd5b6ccff5afe96834920ef1

Observation 31fc8aab-f8ba-4cfc-b528-1a378a232163 · outbound

This paper cites Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:20.177552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:14.148863Z digest=sha256:729fdb744ab2c6db7a112f8ec200706a56cd44ae02a8644b447af57507883207

Observation 1f943558-6a0d-4e7a-937d-4f8a6ce7525f · outbound

This paper cites Ok-vqa: A visual question answering benchmark requiring external knowledge.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Ok-vqa: A visual question answering benchmark requiring external knowledge

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:20.133097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:14.250362Z digest=sha256:15f714ab71f86b82156bd67cc0acc2a6e837168a793f13fa082fb7f3b84fe1e9

Observation 0d402177-11f6-4b97-89de-2ddbbb68d9e9 · outbound

This paper cites C hart QA : A benchmark for question answering about charts with visual and logical reasoning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning C hart QA : A benchmark for question answering about charts with visual and logical reasoning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:20.093124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:14.359394Z digest=sha256:3bf959e85bfbd28fb93175b3cf68c46c6c31c85b99de89d710ed27818b749fbc

Observation a59bf0f9-972f-4451-ac8a-f2d9174d7803 · outbound

This paper cites an unresolved cited work.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T11:35:20.048947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:14.417289Z digest=sha256:75996666ae8dc98a064023ed037cfbb8df3f8a143631cd85429e234903484a5c

Observation dd33d92a-addf-4f10-b8af-31d4302f6014 · outbound

This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:14.535353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:14.535353Z digest=sha256:a1d4b5d8d3337baa37bbb8bc3bb04dc107f881320de8d592d5295f5e5d3727b0

Observation c4da184e-e397-4b61-91b8-025377d4bb67 · outbound

This paper cites Mm-raven dataset.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Mm-raven dataset

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:19.991653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:14.722765Z digest=sha256:7d8b703a28aad5109056cf008766c7271bc6029f26dc8ad017dea82cfb12fc12

Observation 4b56d378-a046-44be-9a9d-881cd2bdd161 · outbound

This paper cites GPT-4o System Card.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning GPT-4o System Card

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:14.838276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:14.838276Z digest=sha256:1ec7aee4845eff7043d14e33f66a9abbc0b6b01621a52eae6c6d3095148aa8a8

Observation 7fc021f3-3c8e-430d-b09a-ce549191cd95 · outbound

This paper cites OpenAI o1 System Card.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning OpenAI o1 System Card

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:14.997552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:14.997552Z digest=sha256:1d34dbaebbbd235e8a49e757d4686cd21e32fe0f3f87d41c0c9c920c80fbfd5f

Observation ea339a15-9d74-4cac-a8c9-e7bedbc64b86 · outbound

This paper cites Introducing o3 and o4-mini, Apr 2025.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Introducing o3 and o4-mini, Apr 2025

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:19.958427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:15.133488Z digest=sha256:92a48a5d8a74ddec611872c01c4df35187900554745a2d146861065135ff6070

Observation aa737a75-60f6-4a30-9d21-504693cc1370 · outbound

This paper cites MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:15.317388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:15.317388Z digest=sha256:fd71b15b5058e50df0b61d859def82c3a171ed6c462073d3691792197f14a028

Observation 2515639a-a809-49df-bc4c-4378da6d87c5 · outbound

This paper cites Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:15.419272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:15.419272Z digest=sha256:f104094f7eabded33ae70e7bc7c852368c1f827a6cd13506fc25120b749c558a

Observation 932e1a39-7e5d-4704-a762-a1fcf968494d · outbound

This paper cites LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:15.534226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:15.534226Z digest=sha256:5e19d291c2fabe0948e03f28892a6031ddcd8e84091816dc96c172664eb8aea2

Observation 22b052ad-bc5c-4820-8139-2efb1e1acaa9 · outbound

This paper cites ZeRO: Memory Optimizations Toward Training Trillion Parameter Models.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:15.684127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:15.684127Z digest=sha256:12bad7d2497170f9c5c4e843b41dead97094398636c743e09b82acd43f5520d0

Observation 60b4a228-a4c9-4372-b65b-a066ffeea452 · outbound

This paper cites Lee, and Sanjeev Arora.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Lee, and Sanjeev Arora

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:15.800325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:15.800325Z digest=sha256:9ff775fb5af112f797d6437c017e49e394b5f4024681569134f97be93dd12c90

Observation 2323f953-4b41-44b2-86b6-0222ec7750db · outbound

This paper cites No regrets: Investigating and improving regret approximations for curriculum discovery.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning No regrets: Investigating and improving regret approximations for curriculum discovery

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:19.925923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:15.948744Z digest=sha256:05e3e3b8e4b289b320422bc49f0d2a8d8bc65b8cef3530847502aa3c5e842254

Observation 1cacfd91-3944-4602-962b-b075b72b404c · outbound

This paper cites Proximal Policy Optimization Algorithms.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Proximal Policy Optimization Algorithms

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:16.091115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:16.091115Z digest=sha256:5d39a8a770cb3f1289b8fad53fe13779e7c96bf81f7783b17c4f8f64bb2879bc

Observation d91a1e05-aef0-46a4-a680-5f1d2cbc8881 · outbound

This paper cites Solving geometry problems: Combining text and diagram interpretation.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Solving geometry problems: Combining text and diagram interpretation

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:19.889566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:16.205500Z digest=sha256:aa1af5f73fd840a2038b26955c4661239951fbcb47ab8d1b0e2f21778e86db35

Observation a6880f23-c8ea-471f-be10-d828993de729 · outbound

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

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:16.328165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:16.328165Z digest=sha256:f7f5a17a29b468c03dde3b1228760220c826f58c9cb4b41393167db70006bc10

Observation a4ccf0f3-fccc-4bd8-b1cb-9565737fa5ed · outbound

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

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:16.406576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:16.406576Z digest=sha256:baf64a8dd33c882d314e724fdcc8faf41f17930b4e372a1179eaf4f7647d6fc5

Observation 5bf90c29-76a7-4025-a890-bf8a7abcaba7 · outbound

This paper cites Reason-rft: Reinforcement fine-tuning for visual reasoning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Reason-rft: Reinforcement fine-tuning for visual reasoning

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:16.522372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:16.522372Z digest=sha256:40b42e6ea10117fdfb87e181e7f9c2608d5e5a1ceb611e6e4b5ca1ada04ae4b7

Observation e1408843-6133-45c9-85a0-c0dea7c0eb1e · outbound

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

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:16.616404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:16.616404Z digest=sha256:025786fe8fbb54e7e3a07c3818b2a478bae03566d91a47311cbeacc744d71850

Observation 1053a9d7-4770-40b1-bef5-dad6792d701f · outbound

This paper cites Kwai Keye-VL Technical Report.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Kwai Keye-VL Technical Report

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:16.696524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:16.696524Z digest=sha256:278247d5f63ee7077642ae8084c59a714132456020705d833aa5eca05d552958

Observation 3b7b1b29-f5c3-4b98-b8a3-4cdeeab7685f · outbound

This paper cites Proximal curriculum for reinforcement learning agents.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Proximal curriculum for reinforcement learning agents

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:19.854685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:16.847411Z digest=sha256:81622f0df1b176b66f48d29a7f7cce0b98400b185c36ae318d68f50d42f2ccff

Observation c11ed112-8967-4abb-950b-fbefb08bb0c3 · outbound

This paper cites EasyARC: Evaluating Vision Language Models on True Visual Reasoning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning EasyARC: Evaluating Vision Language Models on True Visual Reasoning

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:16.862947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:16.862947Z digest=sha256:9c31809b04b7728cb46132c2e79b72be1bee00aacc49d03091ea5828ae7299b8

Observation 2b3826cd-41d8-4fa2-9016-bc8470a27e38 · outbound

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

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:16.911475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:16.911475Z digest=sha256:4b4b8cbadd8ea804695e40b23e14819d1cb183de9241e024cb53454fb91c6a9e

Observation 350f6a5e-6456-4883-ae1f-e299ef20e02f · outbound

This paper cites Measuring multimodal mathematical reasoning with MATH -vision dataset.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Measuring multimodal mathematical reasoning with MATH -vision dataset

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:19.833946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:16.924665Z digest=sha256:ab6902330becefd8028dd647482fec4b693d3e102df0401c591a32ee2e92a45c

Observation 7557b985-2c27-4fa3-a62c-bb6b5b8b145b · outbound

This paper cites Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:16.929602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:16.929602Z digest=sha256:f770fe947aac0c54e7dead730862f88254f39098a78b32eedebcc276b3d6a3ec

Observation af3cbdf7-50fb-4977-a426-7995841d4cec · outbound

This paper cites VisualPRM: An Effective Process Reward Model for Multimodal Reasoning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning VisualPRM: An Effective Process Reward Model for Multimodal Reasoning

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:16.939733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:16.939733Z digest=sha256:a698e2da572a11f6d1ab11e87155b4f3b3fc5e4dbee1a1906611849cc2351f21

Observation 305f264d-089d-4270-bb78-93469a4b5cfe · outbound

This paper cites SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:16.945350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:16.945350Z digest=sha256:1737e234142f50394cda60b83f770ff9aa2290ef53735c761f4aefcad5b915e7

Observation cfd4aaa5-e589-4e5d-ab01-5e612133bacc · outbound

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

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

Reference 73

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source=arxiv_source observed=2026-08-06T11:35:16.956546Z digest=sha256:a759a04903f0dabe7aa9c8f6cb1cbab1fd69716b055fa90e85b2ecdd9784dbfc

Observation 5e1acafe-a7de-49ba-bd59-83aa60afbf33 · outbound

This paper cites Dump: Automated distribution-level curriculum learning for rl-based llm post-training.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Dump: Automated distribution-level curriculum learning for rl-based llm post-training

Reference 74

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source=arxiv_source observed=2026-08-06T11:35:16.963513Z digest=sha256:71b940d758aa020d83d2e87cf3304c403e797107c16697e4b694323089573150

Observation 3734cd3e-b72a-4bc5-bbe5-88d40e059ab6 · outbound

This paper cites Visionary-r1: Mitigating shortcuts in visual reasoning with reinforcement learning.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Visionary-r1: Mitigating shortcuts in visual reasoning with reinforcement learning

Reference 75

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source=arxiv_source observed=2026-08-06T11:35:16.975438Z digest=sha256:ae6964afad26324868fdf08f6cdd0a3009f3787e3a6b0ecbc3cf5d4a2c269a4b

Observation b3bb9ff8-6327-49c8-8ede-e473a57a6d50 · outbound

This paper cites LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts

Reference 76

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source=arxiv_source observed=2026-08-06T11:35:16.981526Z digest=sha256:8a75f170be90c6d046d5ab002ed9507d19657e807fb1de2dbfbf19b191d233b3

Observation d59c3070-7a72-4260-95e0-c1aa257b892f · outbound

This paper cites LLaVA-CoT: Let Vision Language Models Reason Step-by-Step.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning LLaVA-CoT: Let Vision Language Models Reason Step-by-Step

Reference 77

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source=arxiv_source observed=2026-08-06T11:35:16.991360Z digest=sha256:888f7fe1a7abb7c9f531e78aef7415e973728072c1dc8903824def5b64139aca

Observation b170dfae-ac11-4663-a536-7f5de7a76efe · outbound

This paper cites R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Reference 78

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source=arxiv_source observed=2026-08-06T11:35:17.004209Z digest=sha256:b18ca237c766650e66859c81f0ca4343466b2453db410fed21c83088d411edbb

Observation 9e9f9bd2-7984-4338-86fd-750d3c07a831 · outbound

This paper cites Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Reference 79

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source=arxiv_source observed=2026-08-06T11:35:17.014678Z digest=sha256:fe56334b3af27c331f71b1a6185255fb95f2fb8d7c26ce4c73cd031167267dbb

Observation e0286856-2e9d-441d-a795-7a0c5e70f566 · outbound

This paper cites R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO

Reference 80

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source=arxiv_source observed=2026-08-06T11:35:17.026282Z digest=sha256:c46af74a2e30e17d03f0b8a85e57969095ec8349b004cd5cd4c9cc261dee104a

Observation b3d821ee-88a5-48d2-937f-0b350eccea1b · outbound

This paper cites Demystifying long chain-of-thought reasoning in LLM s.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Demystifying long chain-of-thought reasoning in LLM s

Reference 81

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verified fuzzy
raw_fallback, observed 2026-08-06T11:35:19.812044Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:17.037307Z digest=sha256:392dd73478ae3e0fc722e4ebcf0789ced8640e52a907ee1624f4dcc22c797a4a

Observation d034e52f-ab65-4e9d-bfad-3c7a864347d2 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi

Reference 82

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raw_fallback, observed 2026-08-06T11:35:19.787127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:17.044912Z digest=sha256:5dc9e7fbbc2413c99d90890c5644053ff1700107719d6b084ac16cd7d835fee2

Observation ae53f1e3-2e59-4c8a-b052-dddfa5c9851e · outbound

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

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Reference 83

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source=arxiv_source observed=2026-08-06T11:35:17.051622Z digest=sha256:63f87190c74d86fd100c8fe50bc718023549b5813e64035010118d2f2fc342fa

Observation 104e62ac-c4a1-4242-a08e-7463f90a3681 · 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.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? In European Conference on Computer Vision, pages 169--186

Reference 84

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:35:17.058249Z digest=sha256:282c34826c48ec70b1ec5479b3b1fabf6800bdffce56228c225e510b206afb6f

Observation c1a0e333-2281-4592-9ac8-944816137f3b · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 85

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source=arxiv_source observed=2026-08-06T11:35:17.065465Z digest=sha256:6382ec0bfec4c072a1a3ea933082bff57576baf96eb31d8476a1cb500958c1c1

Pith citing papers

Observation 9c80213e-e434-4764-b9a1-dd9b0fe19e70 · inbound

LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model cites this paper.

LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning

Reference 62

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source=arxiv_source observed=2026-08-05T13:24:39.926180Z digest=sha256:2d2635a3e4a8c09571cebd05f95c981f2f9b43bb2d2da7f904d3284c22e14242

Observation e0883df8-392f-4615-bfd3-d79f613c767b · inbound

Asking like Socrates: Socrates helps VLMs understand remote sensing images cites this paper.

Asking like Socrates: Socrates helps VLMs understand remote sensing images VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning

Reference 45

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verified exact
arxiv_id, observed 2026-05-17T04:59:04.387061Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T04:54:57.121481Z digest=sha256:cd0067ee3b77f188d193ce20949532fded8b8fcdb0a5a3d540fe08c82d2be161

Observation d6797923-e4a0-476d-9806-a043a665a98b · inbound

Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum cites this paper.

Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning

Reference 37

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source=pdf_text observed=2026-07-15T14:43:21.866055Z digest=sha256:0be3594d2e724fdedc92f3bc94d75dc60197294785f4634b9f1a74c9ad22454b

Observation 5fcde6b4-21d1-4336-8c69-3c24414e05e9 · inbound

Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models cites this paper.

Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning

Reference 79

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verified exact
arxiv_id, observed 2026-05-11T09:25:59.333264Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:03:15.222571Z digest=sha256:d32346bbf7d9523cff4af7e19cd49fa051ef7aff2be1ab8b1d370d111f1c7728

Observation 1c4333a1-db5c-4e5d-9025-e87ed495ce24 · inbound

Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models cites this paper.

Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning

Reference 89

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source=pdf_text observed=2026-07-12T22:48:45.647588Z digest=sha256:d57eac66ee2685bdf8f8cd1f247261f9a77e86d1b022c9f57f1b221f46901506

Observation 82fd2cc8-b1da-4349-97f8-e1b19fe59164 · inbound

SSL-R1: Self-Supervised Visual Reinforcement Post-Training for Multimodal Large Language Models cites this paper.

SSL-R1: Self-Supervised Visual Reinforcement Post-Training for Multimodal Large Language Models VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning

Reference 79

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verified exact
arxiv_id, observed 2026-05-11T13:36:08.628351Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T01:23:32.849326Z digest=sha256:145aa477e96af534cf09bcfe923c6397fdc907e195179dcfe78047af9e4c7cba

Observation e23bf316-9def-4bcc-9c1c-709b780d2bc8 · inbound

ChronoVision: Temporal Reasoning via Latent State Reconstruction cites this paper.

ChronoVision: Temporal Reasoning via Latent State Reconstruction VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning

Reference 9

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source=pdf_text observed=2026-08-07T01:02:19.508421Z digest=sha256:048eb9f05014df2066be5e84267e54299b6ee8496c921e63a56edeb76d6db929