Paper Citation Record · LEDGER

M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 40 inbound Pith citation observations for arXiv:2306.04387.

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

pith.paper-citation-record.v1
2306.04387 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

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

measured 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:01:14.250687Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T20:28:39.249603Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

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Outbound references

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Pith citing papers

Observation c15d0f86-cbc4-4ce8-95a1-a03c5f1703d5 · inbound

Otter: A Multi-Modal Model with In-Context Instruction Tuning cites this paper.

Otter: A Multi-Modal Model with In-Context Instruction Tuning M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:43:47.865942Z

Source-reported events for the cited work

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

Observation d1fd2764-d939-4d45-b502-d081c97b8057 · inbound

Large Language Models are not Fair Evaluators cites this paper.

Large Language Models are not Fair Evaluators M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 83

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T12:10:42.431540Z

Source-reported events for the cited work

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

Observation d6c9abcb-4a2e-41bc-879a-535ab6a83d07 · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:56:42.695744Z

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

Observation d7316a06-7a45-4489-8abe-44752f698298 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 282

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:28:39.251990Z

Source-reported events for the cited work

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

Observation 149dc577-de54-4a50-a79e-d9dd3eb604de · inbound

Vision-Language Foundation Models as Effective Robot Imitators cites this paper.

Vision-Language Foundation Models as Effective Robot Imitators M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:44:27.666644Z

Source-reported events for the cited work

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

Observation aacdd64c-0e17-4b4c-91b4-3f6d8bd4b716 · inbound

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI cites this paper.

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:37:41.612505Z

Source-reported events for the cited work

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

Observation ffad8371-cabe-4fd4-b398-09404bcf7c7a · inbound

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark cites this paper.

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:22:35.115909Z

Source-reported events for the cited work

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

Observation 2e187d83-ad34-446e-8e3e-0793fa8f2fa6 · inbound

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations cites this paper.

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:34:15.763258Z

Source-reported events for the cited work

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

Observation a9339ec0-f478-4a61-b0ed-a0e70d112f38 · inbound

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning cites this paper.

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 162

Resolution: verified exact; arxiv_id, observed 2026-05-17T10:58:53.407989Z

Source-reported events for the cited work

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

Observation 0d84ef2d-5fec-424d-922f-c386ee15a067 · inbound

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training cites this paper.

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 66

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T04:09:36.478013Z

Source-reported events for the cited work

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

Observation c4f239d6-ed69-4c88-8393-4bc7bf26f84b · inbound

VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding cites this paper.

VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T13:54:22.688860Z

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Unavailable: canonical work link unavailable.

Observation 4a1af282-6a57-49b8-a509-edcaf4ccc9fb · inbound

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models cites this paper.

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T12:12:30.611856Z

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Observation f2837536-35ff-452f-816f-8af47781f5a6 · inbound

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation cites this paper.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.311788Z

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Unavailable: canonical work link unavailable.

Observation 1aed4ae9-c534-45fd-88bb-1c390699e2ef · inbound

LinVT: Empower Your Image-level Large Language Model to Understand Videos cites this paper.

LinVT: Empower Your Image-level Large Language Model to Understand Videos M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T20:54:16.179148Z

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Unavailable: canonical work link unavailable.

Observation 1559abe1-c76a-49ce-9955-1af00bb34dcc · inbound

Learning to Correction: Explainable Feedback Generation for Visual Commonsense Reasoning Distractor cites this paper.

Learning to Correction: Explainable Feedback Generation for Visual Commonsense Reasoning Distractor M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T20:24:58.550719Z

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Unavailable: canonical work link unavailable.

Observation 0f706992-c754-4cc4-8ed3-cfa581e8a94e · inbound

Enhancing Multimodal Large Language Models Complex Reason via Similarity Computation cites this paper.

Enhancing Multimodal Large Language Models Complex Reason via Similarity Computation M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:44.743967Z

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Unavailable: canonical work link unavailable.

Observation bf7444fb-3f1a-43e5-aceb-aac927384bea · inbound

Small Language Model as Data Prospector for Large Language Model cites this paper.

Small Language Model as Data Prospector for Large Language Model M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T16:33:10.459872Z

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Observation 12952629-216e-4600-8d99-dee8bdbf7ebd · inbound

GIRAFFE: Design Choices for Extending the Context Length of Visual Language Models cites this paper.

GIRAFFE: Design Choices for Extending the Context Length of Visual Language Models M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T13:52:57.106265Z

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Unavailable: canonical work link unavailable.

Observation 2db8fa1d-12b9-43c0-b146-e254233ba213 · inbound

Mitigating Adversarial Attacks in LLMs through Defensive Suffix Generation cites this paper.

Mitigating Adversarial Attacks in LLMs through Defensive Suffix Generation M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T12:57:06.165383Z

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Observation 200bfab1-34d8-48de-b272-bb2615aead6c · inbound

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey cites this paper.

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 237

Resolution: unresolved; no resolver link, observed 2026-08-11T14:59:02.176186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dd9a7a5-e192-4923-9288-c98bfaceeb94 · inbound

MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation cites this paper.

MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:45:45.940806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac1e12be-fce0-4996-a55a-dcd92156cbe6 · inbound

LLMs can see and hear without any training cites this paper.

LLMs can see and hear without any training M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T00:46:08.118465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ad6a6c3-1526-49b5-ad6a-a51aaf86e13f · inbound

REASSEMBLE: A Multimodal Dataset for Contact-rich Robotic Assembly and Disassembly cites this paper.

REASSEMBLE: A Multimodal Dataset for Contact-rich Robotic Assembly and Disassembly M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T20:22:55.949459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c3a06e3-66d0-465f-a8e0-54b4e09ee35c · inbound

From Visuals to Vocabulary: Establishing Equivalence Between Image and Text Token Through Autoregressive Pre-training in MLLMs cites this paper.

From Visuals to Vocabulary: Establishing Equivalence Between Image and Text Token Through Autoregressive Pre-training in MLLMs M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T22:43:59.423255Z

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Unavailable: canonical work link unavailable.

Observation c8440316-70c4-4b2c-aeea-5864f1099fa8 · inbound

TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types cites this paper.

TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T20:06:36.629857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc63e29f-4b9d-4d4b-a008-c6dbe6417409 · inbound

Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization cites this paper.

Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T12:01:14.250687Z

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Observation 5c99ab68-9c42-462c-9338-5a7ac2288f8c · inbound

Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward cites this paper.

Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T11:01:39.862054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2270429-29af-40b3-9791-bcce5754e625 · inbound

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models cites this paper.

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T04:09:09.944879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcbfbcc7-cc48-4171-a781-de9ea4aec315 · inbound

Flash-VL 2B: Optimizing Vision-Language Model Performance for Ultra-Low Latency and High Throughput cites this paper.

Flash-VL 2B: Optimizing Vision-Language Model Performance for Ultra-Low Latency and High Throughput M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T21:35:45.519188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14856309-26db-41ac-9566-3a4537ffc053 · inbound

Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion cites this paper.

Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:37:49.620424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81be836d-7602-494e-8daf-47c9171aa506 · inbound

M$^3$FinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial Meeting Understanding Evaluation Dataset cites this paper.

M$^3$FinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial Meeting Understanding Evaluation Dataset M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:16.012128Z

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Unavailable: canonical work link unavailable.

Observation c26c49ee-07bd-446b-9729-c1ceebb6150b · inbound

VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models cites this paper.

VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:16:29.523026Z

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Unavailable: canonical work link unavailable.

Observation 6b470d80-6eba-4783-a5b4-51126b5557e2 · inbound

Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security cites this paper.

Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T12:09:39.711544Z

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Unavailable: canonical work link unavailable.

Observation 4d0bd7e3-10c6-4259-acb1-704fa9e30622 · inbound

A Survey on Video Temporal Grounding with Multimodal Large Language Model cites this paper.

A Survey on Video Temporal Grounding with Multimodal Large Language Model M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-05T23:32:17.831964Z

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Unavailable: canonical work link unavailable.

Observation 07239a44-8713-4a3b-bcb2-c2b3efcf6a0a · inbound

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

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T20:28:42.331519Z

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Unavailable: canonical work link unavailable.

Observation fe1cceee-ea0c-4c22-8a3e-da732ff23488 · inbound

LLaSO: A Foundational Framework for Reproducible Research in Large Language and Speech Model cites this paper.

LLaSO: A Foundational Framework for Reproducible Research in Large Language and Speech Model M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T17:56:53.246219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 821da7d8-724c-49c5-a1a6-da96264ca380 · inbound

Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models cites this paper.

Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T16:30:12.596189Z

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Unavailable: canonical work link unavailable.

Observation b2e03eb9-624f-47a9-9882-fe769dadff86 · inbound

Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning cites this paper.

Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-14T22:18:56.115559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 196cf01f-10d5-4599-a8c6-801cdd4c3419 · inbound

Vision-Language Foundation Models for Comprehensive Automated Pavement Condition Assessment cites this paper.

Vision-Language Foundation Models for Comprehensive Automated Pavement Condition Assessment M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:41:21.206498Z

Source-reported events for the cited work

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

Observation d6c6ff71-de57-4c21-8899-8ccce1823c8a · inbound

Test-Time Hallucination Control in Large Vision-Language Models cites this paper.

Test-Time Hallucination Control in Large Vision-Language Models M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T14:19:24.641330Z

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Unavailable: canonical work link unavailable.