Paper Citation Record · LEDGER

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

As of 23 July 2026, this Paper Citation Record lists 27 of 27 outbound references and 90 inbound Pith citation observations for arXiv:2503.07365.

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

pith.paper-citation-record.v1
2503.07365 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T09:59:58.388186Z

measured 117 of 117 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-23T06:31:01.910684+00:00

measured 90 of 90 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T23:22:13.847876Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T12:15:01.137692Z

Reference resolution

27 of 27 outbound references displayed

verified exact0
verified fuzzy24
unresolved0
parse uncertain2
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a71f8c4-904f-4441-9c92-7e8d7835a192 · outbound

This paper cites an unresolved cited work.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning Unresolved cited work

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.427192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 836cbd1c-f2d0-47ff-b755-4f4844ffa578 · outbound

This paper cites an unresolved cited work.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning Unresolved cited work

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.403070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 09f1c007-8d5a-4479-989e-65b7aa4b930e · outbound

This paper cites First, find two non-parallel vectors in the plane A1C1D.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning First, find two non-parallel vectors in the plane A1C1D

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.405206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 6cc61028-e20f-4b02-bb1c-bfee54bf6467 · outbound

This paper cites • To find the normal vector to the plane A1C1D, we use the cross product of two vectors in the plane: −−→A1D = (1−0,0−0,1−0) = (1 ,0,1), −−→C1D = (0−0,1−0,1−0) = (0 ,1,1).

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning • To find the normal vector to the plane A1C1D, we use the cross product of two vectors in the plane: −−→A1D = (1−0,0−0,1−0) = (1 ,0,1), −−→C1D = (0−0,1−0,1−0) = (0 ,1,1)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.407325Z

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Observation 048fdcaf-ef6f-467d-bee6-4933d52ed586 · outbound

This paper cites • Let M = (x, y,0) be a point in the plane ABCD (since M∈plane ABCD , the z-coordinate of M is 0).

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning • Let M = (x, y,0) be a point in the plane ABCD (since M∈plane ABCD , the z-coordinate of M is 0)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.409432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 2cc12086-2e55-47f5-b3e8-3d5751e60411 · outbound

This paper cites • The length of D1M is given by the magnitude of−−−→D1M:|−−−→D1M|= √ 12 + 12 + (−1)2 =√1 + 1 + 1 =√ 3.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning • The length of D1M is given by the magnitude of−−−→D1M:|−−−→D1M|= √ 12 + 12 + (−1)2 =√1 + 1 + 1 =√ 3

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.411903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 4fb9efae-4285-4119-a8f5-0b0a5d879d66 · outbound

This paper cites The spring force remains 60 N (the initial force that balances the weight of A).

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning The spring force remains 60 N (the initial force that balances the weight of A)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.413987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 41f7dc3a-7872-4aa3-bb80-797f5243743b · outbound

This paper cites • The force between A and B is the force B exerts on A, which is the weight of B: FB = mBg = 4 kg· 10 m/s2 = 40 N.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning • The force between A and B is the force B exerts on A, which is the weight of B: FB = mBg = 4 kg· 10 m/s2 = 40 N

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.415997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 2b8a0cc7-4cab-4d03-82cf-0f19c9a608b7 · outbound

This paper cites The net force on A causes an upward acceleration a, which is the same as the acceleration of B because they are in contact.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning The net force on A causes an upward acceleration a, which is the same as the acceleration of B because they are in contact

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.417972Z

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Observation ff4bdf6b-dc27-461b-9659-28291827bbb8 · outbound

This paper cites an unresolved cited work.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning Unresolved cited work

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.419835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation b85cf59e-5817-421a-b0a5-524be969417c · outbound

This paper cites an unresolved cited work.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning Unresolved cited work

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.421680Z

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Observation f6237feb-96d2-42a0-9251-fbdeb3eccab4 · outbound

This paper cites • The net force on the system is the extra weight from B: Fnet, total = 40 N.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning • The net force on the system is the extra weight from B: Fnet, total = 40 N

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.423658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 2287ebaf-e5ee-4a43-a07d-4a634f16d4cf · outbound

This paper cites <answer>The answer is C.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning <answer>The answer is C

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.425390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 4320e996-092b-44ee-8a9a-21a012bfe60c · outbound

This paper cites • The reaction steps are.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning • The reaction steps are

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.450020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation da8d42b2-4b81-44fc-b53f-f0ffc8e9f70f · outbound

This paper cites an unresolved cited work.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning Unresolved cited work

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.428967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 3571e21f-6b0c-4408-8901-1e8bcdd21ce7 · outbound

This paper cites an unresolved cited work.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning Unresolved cited work

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.430709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 3f04d6f3-8441-4017-8313-91ad66015ee3 · outbound

This paper cites The solution is acidic.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning The solution is acidic

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.432361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 950715b3-9c92-4743-8837-28cbf38b8be9 · outbound

This paper cites MM-EUREKA-32B To solve this problem, we need to analyze the titration of a weak dicarboxylic acid H2C2O4 (oxalate) with a strong base NaOH.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning MM-EUREKA-32B To solve this problem, we need to analyze the titration of a weak dicarboxylic acid H2C2O4 (oxalate) with a strong base NaOH

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.434389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 52f44150-e1d5-4524-8b96-b45f58161245 · outbound

This paper cites an unresolved cited work.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning Unresolved cited work

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.436068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 153b6b76-21a1-4010-baa0-31bfd97ae07f · outbound

This paper cites • At this point, the first equivalence point is reached.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning • At this point, the first equivalence point is reached

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.437890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 8a848e1d-5f40-40ce-a464-13bd2b99095e · outbound

This paper cites an unresolved cited work.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning Unresolved cited work

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.439602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 66606d7f-ef66-4b00-9703-59f74e19408e · outbound

This paper cites an unresolved cited work.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning Unresolved cited work

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.441296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation b70c9eae-aa11-4a74-8b01-1e06b2c60f9b · outbound

This paper cites <answer>The answer is D.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning <answer>The answer is D

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.442820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation d87ecf62-d979-45b0-80dd-4f5f0bbe705a · outbound

This paper cites • The reaction steps are.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning • The reaction steps are

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:59:58.444596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 0c480990-8698-4d33-b033-d7a0c5460f15 · outbound

This paper cites an unresolved cited work.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning Unresolved cited work

Reference 25

Resolution: parse uncertain; raw_fallback, observed 2026-05-13T09:59:58.446600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 67c6f9b3-35e9-44bb-bd1b-690a34b07cd7 · outbound

This paper cites an unresolved cited work.

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning Unresolved cited work

Reference 26

Resolution: parse uncertain; raw_fallback, observed 2026-05-13T09:59:58.448244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation ac5e316f-f07d-4ae4-8d06-3118342fad7c · outbound

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

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T09:59:58.400863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Pith citing papers

Observation d106f1ec-50d4-4477-bcf9-b10ec5d78280 · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 257

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.446735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation ac5e316f-f07d-4ae4-8d06-3118342fad7c · inbound

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

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T09:59:58.400863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation b080b906-6d82-4b71-b32b-ef10b95b99d9 · inbound

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

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:04:22.870184Z

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No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation eb2ce270-e81c-495b-b521-a160656a4591 · inbound

Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding cites this paper.

Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-17T02:40:06.512877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation eb0a7a8f-d6ef-4bbc-861e-41faac02966f · inbound

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

OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-19T06:59:03.214557Z

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No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation e80f9667-1b61-4f9f-a389-1ecc50b2b97f · inbound

UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning cites this paper.

UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-16T11:02:41.384566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation ff7a526d-feeb-4460-bd3f-958d0d85ffd4 · inbound

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

VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:13:57.456642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation c6b4050b-173d-4dca-8512-1f906f47cc38 · inbound

GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents cites this paper.

GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-15T02:10:58.077914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 18282351-f8ca-4585-bb5d-05bcc850b501 · inbound

DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning cites this paper.

DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:42:56.935854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 34c58fa3-ceb0-42be-b349-0f0dd00aad9e · inbound

v1: Learning to Point Visual Tokens for Multimodal Grounded Reasoning cites this paper.

v1: Learning to Point Visual Tokens for Multimodal Grounded Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T12:37:17.460305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 632efe2e-7af5-4252-9ccb-b06c0f4659c4 · inbound

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning cites this paper.

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T11:10:59.675331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 2f4c5199-f532-4876-ab9f-85090c7a7114 · inbound

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning cites this paper.

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T11:10:59.682821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 9ca5680f-280b-46ed-94b6-e4bbf8decb29 · inbound

RealSR-R1: Reinforcement Learning for Real-World Image Super-Resolution with Vision-Language Chain-of-Thought cites this paper.

RealSR-R1: Reinforcement Learning for Real-World Image Super-Resolution with Vision-Language Chain-of-Thought MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:33:02.141432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 89bfe261-63ba-4bc5-ac2f-b5aed3907ad6 · inbound

High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning cites this paper.

High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-19T06:12:07.062177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation d72a3571-b1cd-4393-b4f1-333dcafb43b8 · inbound

Perception-Aware Policy Optimization for Multimodal Reasoning cites this paper.

Perception-Aware Policy Optimization for Multimodal Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-19T05:12:04.803695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 547a05fb-e74d-4b3a-ae21-7cd9bbccebf7 · inbound

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency cites this paper.

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:58:59.219806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation ccef3016-2af6-4d21-82e4-97fc9798ed8a · inbound

Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search cites this paper.

Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:17:55.540566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 9f1c250c-57b9-4e58-8e2c-4a66ec98a420 · 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 MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-18T13:36:25.130294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 649da9e0-17f2-49a3-beb2-0d99f651384e · inbound

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis cites this paper.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:00:25.467935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 7c9778be-37ba-4697-82dc-55c8863c0f2b · inbound

REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video Understanding cites this paper.

REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video Understanding MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-17T22:20:22.848543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation e830ca06-9952-4c82-8162-2386324ae9e8 · inbound

LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling cites this paper.

LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-22T12:31:32.224788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation d323f4f9-73d2-4707-bd6c-ede1f7656b52 · inbound

OneThinker: All-in-one Reasoning Model for Image and Video cites this paper.

OneThinker: All-in-one Reasoning Model for Image and Video MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-17T02:11:26.523868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 4dac5239-bf64-498a-97cd-e09d49350e56 · inbound

Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization cites this paper.

Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T16:08:04.387844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 070e8464-9c02-4fd7-8b6e-badcda997b1b · inbound

Omni-R1: Towards the Unified Generative Paradigm for Multimodal Reasoning cites this paper.

Omni-R1: Towards the Unified Generative Paradigm for Multimodal Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-16T14:37:59.995943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 7801e326-0fa9-4a3d-a4d7-978e3e75fda7 · inbound

CodePercept: Code-Grounded Visual STEM Perception for MLLMs cites this paper.

CodePercept: Code-Grounded Visual STEM Perception for MLLMs MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-14T23:22:13.847876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4338ff4a-26a0-4ecd-871b-088210bc443c · inbound

Deeper Thought, Weaker Aim: Understanding and Mitigating Perceptual Impairment during Reasoning in Multimodal Large Language Models cites this paper.

Deeper Thought, Weaker Aim: Understanding and Mitigating Perceptual Impairment during Reasoning in Multimodal Large Language Models MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-21T12:00:04.245706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 0018b85f-cfdb-474d-9a5d-8c9e78dffd63 · inbound

Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward cites this paper.

Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:20:47.855452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation be0a26de-8b65-49be-9108-a5c2ae0f5079 · inbound

Visually-Guided Policy Optimization for Multimodal Reasoning cites this paper.

Visually-Guided Policy Optimization for Multimodal Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:51:24.226347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation de8e13cb-5ca7-42c6-87b6-f8ba24ac6b75 · inbound

Visually-Guided Policy Optimization for Multimodal Reasoning cites this paper.

Visually-Guided Policy Optimization for Multimodal Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T06:45:26.226255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation a53d2266-4228-4da2-9647-3ea6696e3b78 · inbound

VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning cites this paper.

VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:51:14.033427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 3576c718-e196-4517-96de-efac34d2fb7e · 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 MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:25:58.791392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 5634b9ab-0285-412a-8aca-e12f02287f2c · inbound

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

Reference 114

Resolution: unresolved; no resolver link, observed 2026-07-12T22:48:45.647588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70bb657a-fc7a-4dbb-bc57-444d0fea4e25 · inbound

AnySlot: Goal-Conditioned Vision-Language-Action Policies for Zero-Shot Slot-Level Placement cites this paper.

AnySlot: Goal-Conditioned Vision-Language-Action Policies for Zero-Shot Slot-Level Placement MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T22:40:19.969447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68e156f8-3506-4f3e-8848-42321e8028e4 · inbound

SignReasoner: Compositional Reasoning for Complex Traffic Sign Understanding via Functional Structure Units cites this paper.

SignReasoner: Compositional Reasoning for Complex Traffic Sign Understanding via Functional Structure Units MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:31:04.614361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 2a440aac-07c5-4b49-9c2a-9f012952295e · inbound

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding cites this paper.

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:05:58.437658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 563a0d19-6571-484d-979a-9217c6d21d6b · inbound

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding cites this paper.

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:26:24.468847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 1d7fb70e-9f12-4abc-a220-8e22687d2130 · inbound

DT2IT-MRM: Debiased Preference Construction and Iterative Training for Multimodal Reward Modeling cites this paper.

DT2IT-MRM: Debiased Preference Construction and Iterative Training for Multimodal Reward Modeling MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:26:04.028435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation d468757c-1a7d-4194-8c31-c2238b417063 · 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 MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:36:08.597995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 8a43710e-1551-4cf1-b9cc-5ae2f5c1851e · inbound

Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding cites this paper.

Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:16:05.947860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 71bf1991-f2e9-4fe4-a8d2-818a29b30d61 · inbound

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds cites this paper.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T18:39:55.906516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5e0c1af-f34b-4a29-a283-b2e3fab16fc2 · inbound

S1-VL: Scientific Multimodal Reasoning Model with Thinking-with-Images cites this paper.

S1-VL: Scientific Multimodal Reasoning Model with Thinking-with-Images MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:34:07.608449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 80217b3c-c117-4588-b3cd-6ff29f2946bd · inbound

CharTide: Data-Centric Chart-to-Code Generation via Tri-Perspective Tuning and Inquiry-Driven Evolution cites this paper.

CharTide: Data-Centric Chart-to-Code Generation via Tri-Perspective Tuning and Inquiry-Driven Evolution MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:06:10.300648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 7ab68e46-77fe-4b83-9d54-f68508c45d50 · inbound

CGC: Compositional Grounded Contrast for Fine-Grained Multi-Image Understanding cites this paper.

CGC: Compositional Grounded Contrast for Fine-Grained Multi-Image Understanding MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:16:08.319738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 8893315d-6adc-4639-9782-245356dbe89d · inbound

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs cites this paper.

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:01:22.966186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 0197f5bc-b250-4550-9a20-0b925aafa808 · inbound

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs cites this paper.

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:50:51.684916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation bff07238-3343-47e6-9047-a56e93f7539a · inbound

SeePhys Pro: Diagnosing Modality Transfer and Blind-Training Effects in Multimodal RLVR for Physics Reasoning cites this paper.

SeePhys Pro: Diagnosing Modality Transfer and Blind-Training Effects in Multimodal RLVR for Physics Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:11:22.832689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 59ed2494-a958-4be5-9957-d0dfc468257a · inbound

SeePhys Pro: Diagnosing Modality Transfer and Blind-Training Effects in Multimodal RLVR for Physics Reasoning cites this paper.

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:47:31.599131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation be6655e0-9e39-45fa-9041-5e8900fad38a · inbound

Reflection Anchors for Propagation-Aware Visual Retention in Long-Chain Multimodal Reasoning cites this paper.

Reflection Anchors for Propagation-Aware Visual Retention in Long-Chain Multimodal Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:41:26.438867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 08c7088f-7578-40eb-a52a-c65fe8c58f83 · inbound

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

RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:56:21.547786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation a313740c-6d2b-4da4-b5d2-beacd9776ef4 · inbound

20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone cites this paper.

20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:57:09.530432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 35f9e795-bc48-4901-a008-b0dc0e76ee57 · inbound

20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone cites this paper.

20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-14T21:29:28.612395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation c58556cb-2d01-40a3-903b-f6e4c2f42d4e · inbound

MM-OptBench: A Solver-Grounded Benchmark for Multimodal Optimization Modeling cites this paper.

MM-OptBench: A Solver-Grounded Benchmark for Multimodal Optimization Modeling MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:52:22.130598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation baff30dd-9809-4b37-8e51-a429d0107a81 · inbound

Physics-R1: An Audited Olympiad Corpus and Recipe for Visual Physics Reasoning cites this paper.

Physics-R1: An Audited Olympiad Corpus and Recipe for Visual Physics Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T05:39:47.799619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 25b2168b-c9fa-45ff-9c08-72bd5ed06bae · inbound

CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves cites this paper.

CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 43

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T05:39:48.018520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation a6ce0054-2f28-450c-8cf5-265d66b1989b · inbound

CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves cites this paper.

CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 43

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:43:43.457084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 18adee5e-c786-42d9-9da3-0af6fb2cc62a · inbound

ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for Both cites this paper.

ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for Both MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-15T03:14:53.442872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 93ae7cbe-87a3-460f-8006-6d501706aac9 · inbound

VideoSeeker: Incentivizing Instance-level Video Understanding via Native Agentic Tool Invocation cites this paper.

VideoSeeker: Incentivizing Instance-level Video Understanding via Native Agentic Tool Invocation MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-20T19:38:56.081767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 0182cff3-22c6-4a08-83cd-71f34c364ca9 · inbound

Reasoning Portability: Guiding Continual Learning for MLLMs in the RLVR Era cites this paper.

Reasoning Portability: Guiding Continual Learning for MLLMs in the RLVR Era MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-20T13:33:19.426928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation e7c77d9d-0b59-4783-9f93-7b21d5ab3875 · inbound

Beyond Mode Collapse: Distribution Matching for Diverse Reasoning cites this paper.

Beyond Mode Collapse: Distribution Matching for Diverse Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-20T05:33:04.122817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 3cafac0a-ed74-437a-83cf-3c9b7680abb6 · inbound

ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning cites this paper.

ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-21T07:34:02.599365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation d8dd16e2-9b44-41e6-8459-ed5c2c9ff29c · inbound

ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning cites this paper.

ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-22T09:01:19.375108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 0d640ca5-e639-4282-84db-798777699631 · inbound

RISE: Reliable Improvement in Self-Evolving Vision-Language Models cites this paper.

RISE: Reliable Improvement in Self-Evolving Vision-Language Models MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:39:40.539633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation f445b463-0e16-451c-92da-d8f9a8a9f21e · inbound

RISE: Reliable Improvement in Self-Evolving Vision-Language Models cites this paper.

RISE: Reliable Improvement in Self-Evolving Vision-Language Models MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:24:57.557692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 3eb5d7c6-347f-44f1-a663-d799db2f9929 · inbound

AnE: Pushing the Reasoning Frontier of Multimodal LLMs via Anchor Evolution cites this paper.

AnE: Pushing the Reasoning Frontier of Multimodal LLMs via Anchor Evolution MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-06-30T00:14:04.566054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 2b55436d-9e9f-463b-b3ca-c549ba681931 · inbound

Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization cites this paper.

Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-06-29T09:03:15.841633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 90ac795b-396c-40be-ad33-9297b3c7df41 · inbound

TRON: Targeted Rule-Verifiable Online Environments for Visual Reasoning RL cites this paper.

TRON: Targeted Rule-Verifiable Online Environments for Visual Reasoning RL MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:56:19.941500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 5131f710-9667-42a7-8666-a27d01e7ad09 · inbound

Do Multimodal Agents Really Benefit from Tool Use? A Systematic Study of Capability Gains cites this paper.

Do Multimodal Agents Really Benefit from Tool Use? A Systematic Study of Capability Gains MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:56:19.492685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 32ba73ab-d104-43d0-babd-63afae66ff27 · inbound

Thinking Past the Answer: Evaluating Harmful Overthinking in Large Reasoning Models cites this paper.

Thinking Past the Answer: Evaluating Harmful Overthinking in Large Reasoning Models MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-01T23:36:22.521589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 4229c721-5e93-4af6-b054-a9275174b9c2 · inbound

Entropy Is Not Enough: Unlocking Effective Reinforcement Learning for Visual Reasoning via Vision-Anchored Token Selection cites this paper.

Entropy Is Not Enough: Unlocking Effective Reinforcement Learning for Visual Reasoning via Vision-Anchored Token Selection MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T03:26:29.896019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 7d3f8c16-8239-42bc-9276-d402f12ff860 · inbound

Teaching the Way, Not the Answer: Privileged Tutoring Distillation for Multimodal Policy Optimization cites this paper.

Teaching the Way, Not the Answer: Privileged Tutoring Distillation for Multimodal Policy Optimization MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-02T19:07:17.958313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 0da650e3-2895-47db-aac8-16f5ee3933fc · inbound

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 265

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:47:26.085491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 090470bf-19d1-4688-8b40-8bf67ea1ad39 · inbound

Are Reasoning Vision-Language Models Robust to Semantic Visual Distractions? cites this paper.

Are Reasoning Vision-Language Models Robust to Semantic Visual Distractions? MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T23:57:28.900713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 2fb5c0c7-2e0e-4299-8956-adb5b2924553 · inbound

From Shortcuts to Reasoning: Robust Post-Training of Theory of Mind with Reinforcement Learning cites this paper.

From Shortcuts to Reasoning: Robust Post-Training of Theory of Mind with Reinforcement Learning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 73

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T23:57:28.168303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation c4b25dfe-6d47-4d5f-ba36-57f5a5b40810 · inbound

Optical Reasoning: Rethinking Images as an Expressive Reasoning Medium Beyond Text cites this paper.

Optical Reasoning: Rethinking Images as an Expressive Reasoning Medium Beyond Text MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:17:30.472048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 039986df-7720-4119-b96a-909484917f2e · inbound

Kwai Keye-VL-2.0 Technical Report cites this paper.

Kwai Keye-VL-2.0 Technical Report MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 38

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T04:27:37.089298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 652d7e85-fd80-4b70-823e-57e1dbbd0806 · inbound

Reinforcing Dual-Path Reasoning in Spatial Vision Language Models cites this paper.

Reinforcing Dual-Path Reasoning in Spatial Vision Language Models MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 93

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T20:08:55.656797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation a616722b-3732-417f-9d41-f7d3b8af0923 · inbound

MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning cites this paper.

MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 50

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T20:18:57.806657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 00411777-b82a-4fa1-a992-d5a2b3500713 · inbound

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients cites this paper.

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 101

Resolution: verified exact; local_arxiv, observed 2026-07-03T20:48:56.197288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation a1d49a41-fc77-4f96-a84a-0e1b55d15284 · inbound

VeriEvol: Scaling Multimodal Mathematical Reasoning via Verifiable Evol-Instruct cites this paper.

VeriEvol: Scaling Multimodal Mathematical Reasoning via Verifiable Evol-Instruct MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-04T10:39:46.071297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation f3b8c087-6610-40b7-82ff-53746ef56cb9 · inbound

AIR: Adaptive Interleaved Reasoning with Code in MLLMs cites this paper.

AIR: Adaptive Interleaved Reasoning with Code in MLLMs MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T10:09:44.994232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 8e4a0d87-8533-4ee1-bb61-02e1eaabc64a · inbound

Latent Visual States for Efficient Multimodal Reasoning cites this paper.

Latent Visual States for Efficient Multimodal Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-04T16:29:57.257089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation ac036d50-75a8-49de-8013-edbd21aac58e · inbound

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning cites this paper.

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T19:20:06.479816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 14bfe3fd-5aa8-4dd0-98d8-9b993342d188 · inbound

MER-R1: Multimodal Emotion Reasoning via Slow-Fast Thinking Synergy cites this paper.

MER-R1: Multimodal Emotion Reasoning via Slow-Fast Thinking Synergy MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:23:51.426185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 7d257338-c638-4c95-9cbe-fce05404ceeb · inbound

Consistency as Inductive Bias: Learning Cross-View Invariance for Robust Multimodal Reasoning cites this paper.

Consistency as Inductive Bias: Learning Cross-View Invariance for Robust Multimodal Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-06-30T06:14:19.274647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation fd45020e-2810-47af-9660-11e716c0f1af · inbound

Before Thinking, Learn to Decide: Proactive Routing for Efficient Visual Reasoning cites this paper.

Before Thinking, Learn to Decide: Proactive Routing for Efficient Visual Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 34

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T13:34:41.165153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 390bc795-91fa-4f65-be3b-f83c0c417a6c · inbound

LASER: A Corrective Lens for LVLMs via Visual Attention Preservation and Sink Suppression cites this paper.

LASER: A Corrective Lens for LVLMs via Visual Attention Preservation and Sink Suppression MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 41

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T16:58:42.471872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 3998862a-bbb5-4c75-beea-34963e447f6d · inbound

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences cites this paper.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-12T11:31:14.532101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2b5c310-7b30-43ad-966b-f420ac2204fe · inbound

MentalThink: Shaping Thoughts in Mental SVG World cites this paper.

MentalThink: Shaping Thoughts in Mental SVG World MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 299

Resolution: unresolved; no resolver link, observed 2026-07-12T01:50:59.184754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a97e6e85-043e-48ea-b7ae-ff42b99c110d · inbound

Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process cites this paper.

Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T00:14:19.104498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b600dee4-f4a6-4258-9d8c-f2576be339ce · inbound

OpenCoF: Learning to Reason Through Video Generation cites this paper.

OpenCoF: Learning to Reason Through Video Generation MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-10T01:46:40.973659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.