Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 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 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:43:59.423255Z

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
unresolved0
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

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

Source-reported events for the cited work

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 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

Source-reported events for the cited work

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

Source-reported events for the cited work

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

Source-reported events for the cited work

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

Source-reported events for the cited work

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

Source-reported events for the cited work

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

Source-reported events for the cited work

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 2026-08-08T06:32:00.761636+00:00.