Paper Citation Record · LEDGER

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos

As of 16 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 4 inbound Pith citation observations for arXiv:2506.04141.

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

pith.paper-citation-record.v1
2506.04141 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:52:35.700887Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:49:50.117587Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:58:02.808545Z

Reference resolution

60 of 60 outbound references displayed

verified exact0
verified fuzzy27
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a16a489-26ec-4e1d-855e-a27405a9f5aa · outbound

This paper cites OpenAI o1 System Card.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos OpenAI o1 System Card

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.535059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 608af6c8-5391-47ea-883a-49f3e032d898 · outbound

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

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.539038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 696125e8-28f7-4289-bcdf-0cc6e607d783 · outbound

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

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.542436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2837dcb6-1fc7-4490-a770-0340dcad625f · outbound

This paper cites Openai: Introducing openai o3 and o4-mini,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Openai: Introducing openai o3 and o4-mini,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.184407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 38117a36-c7c9-48b2-92fb-2433210e2447 · outbound

This paper cites Research of intelligent home secu- rity surveillance system based on zigbee,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Research of intelligent home secu- rity surveillance system based on zigbee,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.177611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8da11fa4-00ac-49d7-8db0-bbc9bafe1b09 · outbound

This paper cites Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.551878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c289e8f2-a3dc-4736-8ed1-02d23e992757 · outbound

This paper cites MLVU: Benchmarking Multi-task Long Video Understanding.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos MLVU: Benchmarking Multi-task Long Video Understanding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.554510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f326eb43-54e8-478d-9c96-d0d02bd77ea7 · outbound

This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.557682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 815ece1e-e41f-4d65-99ae-0595086be7c3 · outbound

This paper cites Heuristic and analytic processes in reasoning,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Heuristic and analytic processes in reasoning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.560026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7a147bf-5864-4e56-b4ec-38a7aed68782 · outbound

This paper cites The clarion cognitive architecture: Extending cognitive modeling to social simulation,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos The clarion cognitive architecture: Extending cognitive modeling to social simulation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.167076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5b9c24f5-db67-4ecf-a81b-62c1009f6fa6 · outbound

This paper cites Polanyi, Personal knowledge.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Polanyi, Personal knowledge

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.160499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4dda2206-841f-4a8c-b824-b2ec497eb91e · outbound

This paper cites Kahneman, Thinking, fast and slow.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Kahneman, Thinking, fast and slow

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.153382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 754fa109-f05c-449f-a839-53549b917c38 · outbound

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

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.570857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ae94a2c-6515-4e47-baf9-9371e5a6adfb · outbound

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

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Measuring multimodal mathematical reasoning with math-vision dataset,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.145456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation edb1385a-aa8f-4b6a-a67f-e6175f0dace0 · outbound

This paper cites HumanEval-V: Benchmarking High-Level Visual Reasoning with Complex Diagrams in Coding Tasks.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos HumanEval-V: Benchmarking High-Level Visual Reasoning with Complex Diagrams in Coding Tasks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.576700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93c96661-efa9-4687-8115-466c2b575ef9 · outbound

This paper cites GPT-4o System Card.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos GPT-4o System Card

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.579503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf43c518-8b97-4078-bcae-45ad4cdfa3ac · outbound

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

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Chain-of- thought prompting elicits reasoning in large language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.138576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c4d885aa-7179-4fe9-aecc-6e76ea3d0a9f · outbound

This paper cites RankGen: Improving text generation with large ranking models,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos RankGen: Improving text generation with large ranking models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.131984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 15f9f687-6393-4f1b-8cba-3fb5a58c9845 · outbound

This paper cites GPT-4 Technical Report.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos GPT-4 Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.588141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dce1fa4e-302d-44ff-887f-749bc44c8912 · outbound

This paper cites How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.590859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb9b44b8-3b68-46e1-ad0f-119a3b6d46e6 · outbound

This paper cites Egoschema: A diagnostic benchmark for very long-form video language understanding,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Egoschema: A diagnostic benchmark for very long-form video language understanding,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.123300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8b7b15e2-7b1c-43da-b22d-6946373d3fa3 · outbound

This paper cites Perception test: A diagnostic benchmark for multimodal video models,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Perception test: A diagnostic benchmark for multimodal video models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.114394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dad58a08-81a7-4ecc-8a96-3cfa5e286a49 · outbound

This paper cites Next-qa: Next phase of question-answering to explaining temporal actions,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Next-qa: Next phase of question-answering to explaining temporal actions,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.107625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1e68601b-13b4-4b2b-b48c-1e5b8d02d133 · outbound

This paper cites Video question answering via gradually refined attention over appearance and motion,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Video question answering via gradually refined attention over appearance and motion,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.099703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6009dc50-9be6-4b74-99c0-4c2b46d98e3a · outbound

This paper cites Msr-vtt: A large video description dataset for bridging video and language,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Msr-vtt: A large video description dataset for bridging video and language,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.093405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 265751a1-b2e7-4379-ad90-d3336e43c38c · outbound

This paper cites Mvbench: A comprehensive multi-modal video understanding benchmark,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Mvbench: A comprehensive multi-modal video understanding benchmark,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.086512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ba051163-bcca-49a4-83cb-e9ca4aaf9e11 · outbound

This paper cites Mmbench-video: A long- form multi-shot benchmark for holistic video understanding,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Mmbench-video: A long- form multi-shot benchmark for holistic video understanding,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.078924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8e1d8bd8-16f3-4858-b9d9-64466ebf18c2 · outbound

This paper cites LVBench: An Extreme Long Video Understanding Benchmark.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos LVBench: An Extreme Long Video Understanding Benchmark

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.612961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c07c50b-6b93-43ff-b0bc-7924086641cc · outbound

This paper cites Longvideobench: A benchmark for long-context interleaved video-language understanding,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Longvideobench: A benchmark for long-context interleaved video-language understanding,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.069252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2bd4f8df-af75-426c-b290-f519c8a333c5 · outbound

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

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.618681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4a9f28e-6d68-490d-9c0a-b92f8113a146 · outbound

This paper cites Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.621054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7477edea-e870-43d3-a06e-bbb798c429b6 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Measuring Mathematical Problem Solving With the MATH Dataset

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.623579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bf18601-602f-438b-9b73-a25056ed88bb · outbound

This paper cites LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.626941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6307fcba-3259-4113-84d5-d4ccd70da711 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Training Verifiers to Solve Math Word Problems

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.629166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b806217-6fdf-455b-a7f3-ea38eaebe4f7 · outbound

This paper cites Gpqa: A graduate-level google-proof q&a benchmark,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Gpqa: A graduate-level google-proof q&a benchmark,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.059415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4896c574-0961-4e46-98b0-c87fd72cb4c2 · outbound

This paper cites Mmlu-pro: A more robust and challenging multi-task language understanding bench- mark,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Mmlu-pro: A more robust and challenging multi-task language understanding bench- mark,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.052675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 223354ca-41cd-4172-a936-0abf93f001f4 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.637054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc10fc38-d2e6-452b-a61b-36f266a4b83d · outbound

This paper cites Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.639817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0552af4a-974a-47da-b9ed-a3540cec5b83 · outbound

This paper cites MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.642571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 104ac23d-bed3-4f46-9dea-a9c5e2e4580a · outbound

This paper cites Lakoff and M.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Lakoff and M

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.045708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d56947e7-039f-4d09-8949-cd08332cc74c · outbound

This paper cites Openai: Hello gpt-4o,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Openai: Hello gpt-4o,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.036018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2bc0ecf3-0ec5-4795-a9e5-1282987a84d9 · outbound

This paper cites Gpt-4o mini: advancing cost-efficient intelligence,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Gpt-4o mini: advancing cost-efficient intelligence,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.027076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ab86d69c-cbb5-4932-bd99-16234070d577 · outbound

This paper cites Introducing gpt-4.1 in the api.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Introducing gpt-4.1 in the api

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.015045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6d61bee7-0ec2-430a-aad2-eeca0b8af9a6 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.656456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58c4fed6-ce9d-495a-ba14-8d44dec453b5 · outbound

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

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Gemini 2.5: Our most intelligent ai model,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:36.006568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a769eb1e-f719-45da-b3a6-30b59e601754 · outbound

This paper cites Anthropic: Introducing claude 3.5 sonnet,.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Anthropic: Introducing claude 3.5 sonnet,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:35.997341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d5c5ea53-26e1-4b1b-8981-707069f2b507 · outbound

This paper cites Qwen2.5 Technical Report.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Qwen2.5 Technical Report

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.663611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11546b1a-8c4d-4240-8fc3-7a2426ff067a · outbound

This paper cites Gemma 3 Technical Report.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Gemma 3 Technical Report

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.666040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a93883e8-83a9-4a11-ac5c-a00642dd05e3 · outbound

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

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.668975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d38a5394-b012-47c9-bd6a-84ce83e0ae64 · outbound

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

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos LLaVA-OneVision: Easy Visual Task Transfer

Reference 50

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This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 51

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This paper cites Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.677159Z

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This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos CogVLM2: Visual Language Models for Image and Video Understanding

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.680171Z

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MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos NVILA: Efficient Frontier Visual Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:35.682714Z

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This paper cites Watch the video and answer the question and give a correct answer.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Watch the video and answer the question and give a correct answer

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:35.988996Z

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Observation 43116a44-f79e-4edc-bdf0-8526975beadd · outbound

This paper cites High recognition interpretation?.

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos High recognition interpretation?

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:35.979480Z

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MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:52:35.971576Z

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Observation 082f057b-d313-4e56-b086-1fb4e4699f0c · outbound

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MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:52:35.962889Z

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MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:52:35.954443Z

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MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos other frame desc

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:35.940971Z

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Pith citing papers

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HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes cites this paper.

HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos

Reference 34

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Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning cites this paper.

Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos

Reference 53

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Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application cites this paper.

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-21T02:21:18.406523Z

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Observation fc22239d-0da1-49c1-b065-5cfddb0ec259 · inbound

Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning cites this paper.

Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T00:49:50.117587Z

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