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Paper Citation Record · LEDGER

GRIT: Teaching MLLMs to Think with Images

As of 4 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 34 inbound Pith citation observations for arXiv:2505.15879.

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

pith.paper-citation-record.v1
2505.15879 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T13:29:47.529564Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:31:41.728219Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:17:51.507547Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact18
  • verified fuzzy15
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 53021e62-d29b-4050-b407-e80fd280bd56 · outbound

This paper cites Introducing openai o1-preview.

GRIT: Teaching MLLMs to Think with Images Introducing openai o1-preview

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:37.037775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 63bce2bf-3454-4dab-9d1c-9c5edb01d2c5 · outbound

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

GRIT: Teaching MLLMs to Think with Images DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.078942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:10373aacb2512082dbe0df7dea14d1248b54f5d0979a6312a34ab4354d8165e4

Observation 6074d927-0032-435b-b456-b504044db977 · outbound

This paper cites Qwen2.5 Technical Report.

GRIT: Teaching MLLMs to Think with Images Qwen2.5 Technical Report

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.045116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:93797eea7ea461e867d964a9b2d8629b63794199e6dace3894b1cc4e7c5b1ded

Observation bbf9e3c2-9f00-4b18-8176-8d9ef96eb906 · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning, March 2025.

GRIT: Teaching MLLMs to Think with Images Qwq-32b: Embracing the power of reinforcement learning, March 2025

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.985792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:13da596e1369934bd6ed69b7af373f60a08f5800525b8098cfe2dcaa6963eeb4

Observation c391cfeb-9da5-46ce-a8c5-6f1e1022a39e · outbound

This paper cites The Llama 3 Herd of Models.

GRIT: Teaching MLLMs to Think with Images The Llama 3 Herd of Models

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.133645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:8ddbca1161d7d73bf9f570871bb955a2b217679e9d123411ecd6e594d5bbd48b

Observation 62cf520a-1a8a-4664-88ca-11b6e63de363 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

GRIT: Teaching MLLMs to Think with Images Chain-of-thought prompting elicits reasoning in large language models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.993621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:f110c77341be56ebe3fc32822030470d231bb867c6f593b93bc7acbb8898c225

Observation ec736a2d-336a-4a22-9cae-61fe2c786e0b · outbound

This paper cites Reasoning models don’t always say what they think.

GRIT: Teaching MLLMs to Think with Images Reasoning models don’t always say what they think

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.981347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:31a7a502f1082a315e9f5658c5b06d0b7a4da848334a2088f0f25de9d9a908e6

Observation b2a39bc5-e1b9-4c1c-b816-3a72772522de · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

GRIT: Teaching MLLMs to Think with Images Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.095013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:3ae3ed9fd6af59bd810f2f4b6d24f5bfe18604dc7b010ece53352d525db1791c

Observation d578c0e4-75b8-4e2c-90be-49bfec98591d · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

GRIT: Teaching MLLMs to Think with Images Training Large Language Models to Reason in a Continuous Latent Space

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.089157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:6b301e11560a8e725fa512b8466d3f0344d2433c96f7f34518790444878876e8

Observation 3dfb7bd1-d7df-41ee-85bf-a5370b257c62 · outbound

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

GRIT: Teaching MLLMs to Think with Images VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.050924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:74616e5770932fe7a8750de45fe3e25193c759e85e4f937fca06b74477dbdb64

Observation 6856c958-98f0-4f8c-94a5-19c6668a4ff3 · outbound

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

GRIT: Teaching MLLMs to Think with Images Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.084035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:437887e79207967382ed12b2866ca60584bf0f10b6b7f8d8143850c43f0b4b1e

Observation fca9c436-30b5-427d-9a4c-14fb285614e1 · outbound

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

GRIT: Teaching MLLMs to Think with Images R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.100958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:41dc941787ef9259006db1ce2b233c9fb00a65a0a13eacb1f44a9e583817ac60

Observation 0994b7bf-7d19-4bf0-8e6a-0ce65e4607dc · outbound

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

GRIT: Teaching MLLMs to Think with Images InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.139144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:e021cbc1899f6f822b6e83ca6f9cb6eb4f2540750588dd08eaf0618bbf246ec5

Observation f8ee944a-7da6-49af-8e04-5d328533c36a · outbound

This paper cites Visual spatial reasoning.

GRIT: Teaching MLLMs to Think with Images Visual spatial reasoning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.997067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:4bdbbdb13b234dcd41f944ae57f3c0e1d1f33c43608a369542e65522e1774d42

Observation 3fc15d87-0cb2-4b55-bbe2-70ea3dd3f003 · outbound

This paper cites Tallyqa: Answering complex counting questions.

GRIT: Teaching MLLMs to Think with Images Tallyqa: Answering complex counting questions

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.977947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:50992e131f9099e58a2fb66f56a2ad2cb1af5fa1f4ff9423c01e3d15d2e02db1

Observation abd39a97-7d2f-4d16-98cf-d2c9f9c75a3d · outbound

This paper cites R1-v: Reinforcing super generaliza- tion ability in vision-language models with less than $3.https://github.com/Deep-Agent/ R1-V.

GRIT: Teaching MLLMs to Think with Images R1-v: Reinforcing super generaliza- tion ability in vision-language models with less than $3.https://github.com/Deep-Agent/ R1-V

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:37.004702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:a478d8ba15d827b5b56705699e73dc5ca04e0fa6585ad938107b43aa27f0eac4

Observation 5669a613-aa98-4d70-9955-d87363bd152e · outbound

This paper cites Introducing openai o3 and o4-mini.

GRIT: Teaching MLLMs to Think with Images Introducing openai o3 and o4-mini

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:37.016889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:904bd6279e0fb3d399e15f2ddc5c8639e13a021810a9ab1edf3c388835b91fa7

Observation 3baa21e4-711b-4dad-800a-1daeb7ca1339 · outbound

This paper cites Self-consistency improves chain of thought reasoning in language models.

GRIT: Teaching MLLMs to Think with Images Self-consistency improves chain of thought reasoning in language models

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:37.024169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:ad831d451b693717783b99f01e114402725b8516a10a2882359b08a5ee2d5e7e

Observation 1637b3ad-0836-4ee4-a4e2-097fff7616fc · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

GRIT: Teaching MLLMs to Think with Images Multimodal Chain-of-Thought Reasoning in Language Models

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.128814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:c275a672dfd8419afcfef986769e3c172078ed5f712040781e8b4ba8fce4f82e

Observation 1f66ac9c-5bec-4b6f-a6a6-130f019ef756 · outbound

This paper cites Visual chain-of-thought prompting for knowledge-based visual reasoning.

GRIT: Teaching MLLMs to Think with Images Visual chain-of-thought prompting for knowledge-based visual reasoning

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:37.030672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:ae8414f2eda0925fb11f0cb0dc1a979558e59b944062563a29af58043a47e3a2

Observation 6ba154f8-3fae-4248-b5f6-8935ec9c9219 · outbound

This paper cites Compositional chain-of- thought prompting for large multimodal models.

GRIT: Teaching MLLMs to Think with Images Compositional chain-of- thought prompting for large multimodal models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:37.027697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:f28362872496a87c83877e82354430c99439138c2d2009edf90babe018685f19

Observation 23d04d59-7f2a-437a-8a1e-806344182d1c · outbound

This paper cites Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization.

GRIT: Teaching MLLMs to Think with Images Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:31:36.146143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 25a769e3-2dd9-43f7-86f3-a0c6b7f535b2 · outbound

This paper cites Visual cot: Advancing multi-modal language models with a comprehen- sive dataset and benchmark for chain-of-thought reasoning.

GRIT: Teaching MLLMs to Think with Images Visual cot: Advancing multi-modal language models with a comprehen- sive dataset and benchmark for chain-of-thought reasoning

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:37.011643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:e0b6e6e99041dd2c1ad84da92c7886759fd5ab3f0088938d94579c2a666f8466

Observation 04ded7dc-4405-40b8-a22d-83dbb6eb014a · outbound

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

GRIT: Teaching MLLMs to Think with Images DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.068306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:2b7ddc22c9dded7823b1dc63a8bcb0adcf9bb173327391ab4835f44ea960b06c

Observation 57b627d1-387d-4273-a040-2f30f4199571 · outbound

This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering.

GRIT: Teaching MLLMs to Think with Images Gqa: A new dataset for real-world visual reasoning and compositional question answering

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:37.007984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:2fde991416acb1c84309ff2b3cefd25ca28eff8e36de86d189a7d8a6f9248f6e

Observation 5e7b5baf-aae9-4a4d-a81f-9470be0b2def · outbound

This paper cites Mme: A comprehensive evaluation benchmark for multimodal large language models.

GRIT: Teaching MLLMs to Think with Images Mme: A comprehensive evaluation benchmark for multimodal large language models

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:37.034155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:f5c94d64a92da5dbc731b7c88fcf9d3c50c336f5fc4b4666e17d6f1833c732d6

Observation 497d4ed4-be8a-4635-ae1a-43e62397c992 · outbound

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

GRIT: Teaching MLLMs to Think with Images MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.057778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:e4c8eaf1ca4f1248540ee9eb11ffe3ed924e2660c1b1d6a3d07624e949873ffc

Observation 45712bc3-ddea-46cb-8d18-992d0bc06afc · outbound

This paper cites How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection.

GRIT: Teaching MLLMs to Think with Images How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:31:36.117238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:8abf33c40555f181aff80563152ac92c12ed7b712f5c6a50c30a0fac45d67334

Observation d61dcef2-1214-43f4-b902-98e7ea7f22bf · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

GRIT: Teaching MLLMs to Think with Images Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:37.001013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:a159b7bff380d2cf32d60930f788129a07df9d7f39d6a90f2b09a5be048c30fb

Observation e8c31818-4823-4ef0-8fe6-ee62462f9c88 · outbound

This paper cites Language Models are Few-Shot Learners.

GRIT: Teaching MLLMs to Think with Images Language Models are Few-Shot Learners

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.062621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:762b4ba107f71cfc5cb20dacc5c961108e13dcd93d13f49c6658653311fb8cea

Observation f1440bbd-83fc-4df3-9e49-8a0c4355dd24 · outbound

This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

GRIT: Teaching MLLMs to Think with Images Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.106717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:67c5c4ee78bfeaeaeffcd3f749ccfc0e1db8029165bef1efcf3273298a57401b

Observation bf26a524-4fa1-4caa-ae18-5990dab4cdd4 · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

GRIT: Teaching MLLMs to Think with Images Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.073266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:b628fcee5119154923f4cc304b8f402787b809bfa30d33af705babc6c981ee22

Observation 4ef8c58e-78f1-4d42-ad0b-608a17815f64 · outbound

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

GRIT: Teaching MLLMs to Think with Images OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.111936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:87960d0a2746f1584ce73449ed433c4e5537f37d9593cd243754a6f8a2633d9c

Observation 6388e0e0-b733-4138-9ed3-b930cdf92b31 · outbound

This paper cites SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models.

GRIT: Teaching MLLMs to Think with Images SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models

Reference 34

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T13:31:36.123124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:29:47.529564Z digest=sha256:f8163563d7638d4e6762223be1a58401d7c6e0414eaf1c938fa89346e945f902

Pith citing papers

Observation 05b20e05-7c95-4719-84c9-a843862c2d35 · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey GRIT: Teaching MLLMs to Think with Images

Reference 246

Resolution
verified exact
local_arxiv, observed 2026-05-18T19:21:48.385988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T19:19:36.427337Z digest=sha256:19096e60d3f8f642bf5a7239a39ea71724a44081d3ec4aace37f730776147571

Observation 8f2e4bf3-41ee-4dfb-9f20-333b58d1e1ed · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models GRIT: Teaching MLLMs to Think with Images

Reference 133

Resolution
verified exact
local_arxiv, observed 2026-05-18T00:02:25.351953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T00:02:24.352947Z digest=sha256:29c140110d1708e64618da5040e63d9c224c3b87ef556a52bd10855766f2cad6

Observation 2165189f-3d1f-4442-9437-75c4bef659ef · inbound

DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning cites this paper.

DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning GRIT: Teaching MLLMs to Think with Images

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-21T22:35:42.653389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T22:35:36.136639Z digest=sha256:06562c10eccc9916dfc88db68c06cffab1113723671f9f163e263cdea24b923c

Observation 9decbf5c-c00d-4215-9bd4-540abe876579 · inbound

DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning cites this paper.

DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning GRIT: Teaching MLLMs to Think with Images

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:36:35.906344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:36:06.229352Z digest=sha256:e0f9e94259eda5d3adcf3a736349d393d3063cad8b6e4a9bbb13f2e52738386a

Observation 9c9dc810-3210-4559-aafd-a0dafc2aa787 · inbound

Mixture-of-Visual-Thoughts: Exploring Context-Adaptive Reasoning Mode Selection for General Visual Reasoning cites this paper.

Mixture-of-Visual-Thoughts: Exploring Context-Adaptive Reasoning Mode Selection for General Visual Reasoning GRIT: Teaching MLLMs to Think with Images

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-18T13:36:25.109996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T13:33:12.508639Z digest=sha256:e6e406997454dff20f46f4a5296ac204b121081e833799d7f9ab4f9204c40d81

Observation 8b981fc6-76b5-4a4c-a00b-8a8519489161 · inbound

Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images cites this paper.

Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images GRIT: Teaching MLLMs to Think with Images

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T10:16:14.380167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T10:13:08.112072Z digest=sha256:4e257189aee9f16f9cb839fc35957dc1a77ec96392dde39673fad22b30753624

Observation 8243c96f-1865-430b-97fa-0f15d800c5b2 · inbound

DeepEyesV2: Toward Agentic Multimodal Model cites this paper.

DeepEyesV2: Toward Agentic Multimodal Model GRIT: Teaching MLLMs to Think with Images

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-16T05:32:29.551334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T05:32:29.266583Z digest=sha256:afea17e56103c9701b4aaaa4714d45b91cfe8caaacfd2a56c87b931bb8447976

Observation 2c11580c-89a5-4c9b-a428-0d40fa656a99 · inbound

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents cites this paper.

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents GRIT: Teaching MLLMs to Think with Images

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-17T03:11:30.074062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T03:09:31.161760Z digest=sha256:c34ca2d4fc443060ec667fb9a53a8393e949eff4357d27577379e680e57f17f6

Observation cad19910-7fe8-4123-a681-b87d362055f9 · inbound

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents cites this paper.

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents GRIT: Teaching MLLMs to Think with Images

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T18:51:42.710473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:51:42.710473Z digest=sha256:ce1fa9a95a298dcad3c10f74947030a38db1b87025050fb3e1f480e7050317a0

Observation c7a5c95e-ca17-4949-bfcf-e30dd4b45186 · inbound

Reasoning Within the Mind: Dynamic Multimodal Interleaving in Latent Space cites this paper.

Reasoning Within the Mind: Dynamic Multimodal Interleaving in Latent Space GRIT: Teaching MLLMs to Think with Images

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-16T23:03:38.976265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T23:02:28.588225Z digest=sha256:fa2619fd136c796ce122a411e6e29cc0eb661c03a97737e4838d1037f2bb8653

Observation 09682d13-051c-4bff-9f05-6eeffeabaf4a · inbound

MentisOculi: Revealing the Limits of Reasoning with Mental Imagery cites this paper.

MentisOculi: Revealing the Limits of Reasoning with Mental Imagery GRIT: Teaching MLLMs to Think with Images

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T05:23:31.745845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:23:31.745845Z digest=sha256:46ddacaaffa974d042f9ed73b783efc2dbc93e87937e76c6452f1ece4f028366

Observation e3983524-ce36-4706-9ef6-481081bf2eab · inbound

CharTool: Tool-Integrated Visual Reasoning for Chart Understanding cites this paper.

CharTool: Tool-Integrated Visual Reasoning for Chart Understanding GRIT: Teaching MLLMs to Think with Images

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T20:08:12.734245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-13T20:07:23.153064Z digest=sha256:31c51ff6c42d7b6e179f6ac355b58bc10b6f3dc4257e80c1a51bbdd1016080c5

Observation 2153c1ed-3c36-4215-9068-cd12049a8599 · inbound

Discovering Failure Modes in Vision-Language Models using RL cites this paper.

Discovering Failure Modes in Vision-Language Models using RL GRIT: Teaching MLLMs to Think with Images

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:44:46.816923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:21:25.761342Z digest=sha256:95337de279b379a130ec0518204d18179b4dd812f175d1f05e3b8caf4a0d6fc9

Observation 9d39e6dc-9789-4e6a-b8d1-72d728f27bfd · inbound

Scientific Graphics Program Synthesis via Dual Self-Consistency Reinforcement Learning cites this paper.

Scientific Graphics Program Synthesis via Dual Self-Consistency Reinforcement Learning GRIT: Teaching MLLMs to Think with Images

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:44:46.816923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:45:40.915428Z digest=sha256:738094ab21b39c9f3de86867ff52afdf5911669633dc1f767680e0bafdaa3aaa

Observation d6277388-5c56-4714-886c-2f73cd00da37 · inbound

Test-time Scaling over Perception: Resolving the Grounding Paradox in Thinking with Images cites this paper.

Test-time Scaling over Perception: Resolving the Grounding Paradox in Thinking with Images GRIT: Teaching MLLMs to Think with Images

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:44:46.816923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:38:11.785469Z digest=sha256:f68d804cc82c1c29b0859957173bc9bbb8826fe9ad1d442b9e1b7e9b450f596d

Observation 9871af4a-fca1-4444-bf8f-d4faaf0f86f8 · inbound

Test-time Scaling over Perception: Resolving the Grounding Paradox in Thinking with Images cites this paper.

Test-time Scaling over Perception: Resolving the Grounding Paradox in Thinking with Images GRIT: Teaching MLLMs to Think with Images

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T05:31:41.728219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:31:41.728219Z digest=sha256:e62f9a3449faa13b73acd4d8cccf37cf0f2adf5c7ea218818bce2faeecd82036

Observation e2acb4af-17dc-4eab-ab7c-239ce84866ee · inbound

Don't Show Pixels, Show Cues: Unlocking Visual Tool Reasoning in Language Models via Perception Programs cites this paper.

Don't Show Pixels, Show Cues: Unlocking Visual Tool Reasoning in Language Models via Perception Programs GRIT: Teaching MLLMs to Think with Images

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:44:46.816923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:29:25.650175Z digest=sha256:f992532ec69fb11345a2cc1e58f2e2d676811474570b44fa8ac08e223629d5e8

Observation eec7037c-3b7d-4415-9e17-781290b83c91 · inbound

Mind's Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMs cites this paper.

Mind's Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMs GRIT: Teaching MLLMs to Think with Images

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:44:46.816923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T09:18:33.234354Z digest=sha256:2cc6eb7ca84ceca930707cddd0129653f78633fdb03a2c178e868a5b3b85d4a1

Observation 282fc9d3-ed0e-4203-9244-9bfbfc1e3a45 · inbound

CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models cites this paper.

CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models GRIT: Teaching MLLMs to Think with Images

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T05:28:04.625613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T05:27:30.938311Z digest=sha256:5633e1d3910033c52bcc6c3e8ed4d8b8b48e0c28df5d5053456adb6a6b541c9e

Observation b110cb73-25d9-4b4d-899a-6d4b6e567fbb · inbound

Look-Closer-Then-Diagnose: Confidence-Aware Ultrasound VQA via Active Zooming cites this paper.

Look-Closer-Then-Diagnose: Confidence-Aware Ultrasound VQA via Active Zooming GRIT: Teaching MLLMs to Think with Images

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T09:14:45.465091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T09:13:45.830192Z digest=sha256:3f843a15e1b5b9f0e4023fcff7518c243d029b2b1c850d6562a4b5872e962e2f

Observation 01417436-c34e-4ec4-8566-57ecca9d9828 · inbound

Look-Closer-Then-Diagnose: Confidence-Aware Ultrasound VQA via Active Zooming cites this paper.

Look-Closer-Then-Diagnose: Confidence-Aware Ultrasound VQA via Active Zooming GRIT: Teaching MLLMs to Think with Images

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T16:54:58.761951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T16:48:55.898188Z digest=sha256:67de8a3c8b8daa90dae91e6c3d1ecd139c1ad2c53f778162c99ff6993bc117ff

Observation 2f17d4ff-7439-4adc-b822-908ea9db3231 · inbound

Mags-RL: Wearing Multimodal LLMs a Magnifying Glass via Agentic Reinforcement Learning For Complex Scene Reasoning cites this paper.

Mags-RL: Wearing Multimodal LLMs a Magnifying Glass via Agentic Reinforcement Learning For Complex Scene Reasoning GRIT: Teaching MLLMs to Think with Images

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T13:43:29.025496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T13:38:01.819121Z digest=sha256:1b37df937989ab6ce3f16f34ffb89b2cfd7aa85c82ff9752b83082206797dd20

Observation 6e4cb97b-624b-43f8-ac6b-4f2b5583ead8 · inbound

Self-Prophetic Decoding to Unlock Visual Search in LVLMs cites this paper.

Self-Prophetic Decoding to Unlock Visual Search in LVLMs GRIT: Teaching MLLMs to Think with Images

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T13:03:26.930383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T12:53:40.783281Z digest=sha256:8138512ae740d0ef5a5e512cb4a5cf1fffe24db655f312931677ac62ca0b8b5d

Observation d771a75e-8bff-4560-9352-0dabae6d2137 · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation GRIT: Teaching MLLMs to Think with Images

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T20:56:13.504175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-28T17:38:50.313305Z digest=sha256:c7ee746c3fc3bc49a96311331317ddfd99678cbbfda12f2b5408c97e600db251

Observation c854a493-ce9f-4840-8c0a-4fd43b61c188 · inbound

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA cites this paper.

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA GRIT: Teaching MLLMs to Think with Images

Reference 129

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T09:47:59.480737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T10:21:12.782864Z digest=sha256:c25218c8772020f56f61466d3d1c4ad5f018ac81fa4658ce0575d08c44a6a7b0

Observation a11129eb-b7b5-43b5-8421-b2d0e1606be4 · inbound

An LMM for Precisely Grounding Elements in Documents cites this paper.

An LMM for Precisely Grounding Elements in Documents GRIT: Teaching MLLMs to Think with Images

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-04T15:09:54.669584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T01:51:50.043216Z digest=sha256:9d15bb7bea042c055e9eed5b4ba0097f81ed7e9d5139fb71498a71e085482982

Observation dabee48d-3830-4dc2-8591-6ae2e5417b62 · inbound

V-Zero: Answer-Label-Free On-Policy Distillation with Contrastive Evidence Gating for Fine-Grained Visual Reasoning cites this paper.

V-Zero: Answer-Label-Free On-Policy Distillation with Contrastive Evidence Gating for Fine-Grained Visual Reasoning GRIT: Teaching MLLMs to Think with Images

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-07-04T19:30:06.787705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-25T21:23:10.051805Z digest=sha256:5b6625508bd96a80e9cc95cf4508774dc7c91f124d930d4aeee45f90933341a8

Observation 2ebcddd0-050f-4521-81ad-2fda7b48cd47 · 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 GRIT: Teaching MLLMs to Think with Images

Reference 177

Resolution
verified exact
local_arxiv, observed 2026-07-04T15:09:54.988860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T01:50:54.242508Z digest=sha256:1f5c3800985705d3108ca88aa1d389b6293d5bf0bc179707e12180f15f49b06a

Observation ed133d53-aeb3-45e2-9415-f99e1dfba12a · inbound

Latent Noise Mask for Reducing Visual Redundancy in Multimodal Large Language Models cites this paper.

Latent Noise Mask for Reducing Visual Redundancy in Multimodal Large Language Models GRIT: Teaching MLLMs to Think with Images

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-06-30T06:54:21.214939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T06:35:16.868238Z digest=sha256:ac2d423f67db8834db5ac22210330605e1db72f6d64dd0a435100eb25e0f5b06

Observation fb371fa9-c51b-432c-b8b9-6e9e36278253 · inbound

OmniView-Space: Reinforcing Spatial Reasoning via Multi-Perspective Spatial Mapping cites this paper.

OmniView-Space: Reinforcing Spatial Reasoning via Multi-Perspective Spatial Mapping GRIT: Teaching MLLMs to Think with Images

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-07-02T14:17:02.390573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-02T14:16:39.649823Z digest=sha256:fc9eec5f69a5624c50ccd3d5dc503a18f1b5033644fe966a35ef0ef7a7e63cf3

Observation 96380a47-4cd1-4d20-b38c-26b01ec491ec · inbound

Perceive-to-Reason: Decoupling Perception and Reasoning for Fine-Grained Visual Reasoning cites this paper.

Perceive-to-Reason: Decoupling Perception and Reasoning for Fine-Grained Visual Reasoning GRIT: Teaching MLLMs to Think with Images

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T13:26:58.445181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-07-02T13:24:17.538850Z digest=sha256:57a41e2c0f7f50fa7eef17ab075b1e92bc58cb2a53ad5dff47b51c231a9ee551

Observation 017bab76-2cb8-4f60-864c-553c7b794daf · inbound

Transferability Between Understanding and Generation in Unified Multimodal Models cites this paper.

Transferability Between Understanding and Generation in Unified Multimodal Models GRIT: Teaching MLLMs to Think with Images

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-11T19:17:19.634242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:17:19.634242Z digest=sha256:f152558b76a8abac889fd98dfe4b8daffa1a4709a71cdc63b0e17edc864b6299

Observation 3f8d0cdb-a77f-47aa-a1d8-7b4799e5e5af · inbound

Scene Graph Thinking: Reinforcing Structured Visual Reasoning for Multimodal Large Language Models cites this paper.

Scene Graph Thinking: Reinforcing Structured Visual Reasoning for Multimodal Large Language Models GRIT: Teaching MLLMs to Think with Images

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T03:17:51.534720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-11T03:11:49.713677Z digest=sha256:6edf4ab621c226838402c0fc1782a1b165c31a35572b68e5f17fd37557f5815d

Observation 8c79a5ae-e61f-4544-b33e-d96d7766b491 · inbound

Scene Graph Thinking: Reinforcing Structured Visual Reasoning for Multimodal Large Language Models cites this paper.

Scene Graph Thinking: Reinforcing Structured Visual Reasoning for Multimodal Large Language Models GRIT: Teaching MLLMs to Think with Images

Reference 5

Resolution
unresolved
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