Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:45:46.148987Z
Paper Citation Record · LEDGER
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation
As of 12 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 3 inbound Pith citation observations for arXiv:2501.04155.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-14T21:28:37.680681Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
71 of 71 outbound references displayed
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External citation measurements
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arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation e0def824-6a1a-4cca-a2cd-8c401bd92ee2 · outbound
This paper cites an unresolved cited work.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Unresolved cited work
Reference 1
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Observation 16a9f92a-8eaf-46fc-a474-aa8f9bf4390d · outbound
This paper cites an unresolved cited work.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Unresolved cited work
Reference 2
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Observation fa811d3f-279e-405b-87ec-5b725f5caf2c · outbound
This paper cites Eureka: Evaluating and Understanding Large Foundation Models.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Eureka: Evaluating and Understanding Large Foundation Models
Reference 3
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Observation 6b99cb32-86f6-4adc-b1f8-35f0b0144e5b · outbound
This paper cites Introduction to Natural Language Pro- cessing.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Introduction to Natural Language Pro- cessing
Reference 4
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Source-reported events for the cited work
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Observation f90a3c62-72a6-41df-bf1e-1a24d80661fe · outbound
This paper cites Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts
Reference 5
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Observation d597aca8-aa56-4094-9aa8-b3306e2aed41 · outbound
This paper cites Sharegpt4v: Improving large multi-modal models with better captions,.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Sharegpt4v: Improving large multi-modal models with better captions,
Reference 6
- Resolution
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Source-reported events for the cited work
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Observation 2f826d38-c6e4-4022-a905-0f2c1dde5257 · outbound
This paper cites AlpaGasus: Training A Better Alpaca with Fewer Data.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation AlpaGasus: Training A Better Alpaca with Fewer Data
Reference 7
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Source-reported events for the cited work
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Observation f57deb5f-8094-49ef-aa8e-8c43bd611be7 · outbound
This paper cites Selection via Proxy: Efficient Data Selection for Deep Learning.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Selection via Proxy: Efficient Data Selection for Deep Learning
Reference 8
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Source-reported events for the cited work
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Observation 3f0ef15c-d78f-4b4b-8729-b705e4a8e8c2 · outbound
This paper cites A survey on in-context learning, 2024.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation A survey on in-context learning, 2024
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation b88e0666-15ca-46fa-9cea-85783dd9ac06 · outbound
This paper cites The Llama 3 Herd of Models.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation The Llama 3 Herd of Models
Reference 10
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Source-reported events for the cited work
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Observation a7f45de2-aae3-463c-b563-90662e2ae71b · outbound
This paper cites Tinystories: How small can language models be and still speak coherent english?, 2023.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Tinystories: How small can language models be and still speak coherent english?, 2023
Reference 11
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 91ce6dd0-283b-4568-9cc0-10540dec98d6 · outbound
This paper cites Data curation via joint example selection further accelerates multimodal learning.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Data curation via joint example selection further accelerates multimodal learning
Reference 12
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Source-reported events for the cited work
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This paper cites Improving clip training with language rewrites.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Improving clip training with language rewrites
Reference 13
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Source-reported events for the cited work
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Observation 91bceeee-3b9b-485b-ada7-45b350f679a6 · outbound
This paper cites Data fil- tering networks, 2023.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Data fil- tering networks, 2023
Reference 14
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Source-reported events for the cited work
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Observation 480ff99d-ec12-41ec-8a86-7267c4fe9fef · outbound
This paper cites Blink: Multimodal large language models can see but not perceive.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Blink: Multimodal large language models can see but not perceive
Reference 15
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Observation d06e20d5-c06c-417c-9eb6-8ad535de0467 · outbound
This paper cites Dat- acomp: In search of the next generation of multimodal datasets.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Dat- acomp: In search of the next generation of multimodal datasets
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation f3951993-f15d-49da-8fe6-8f24fb16161f · outbound
This paper cites Textbooks are all you need, 2023.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Textbooks are all you need, 2023
Reference 17
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Source-reported events for the cited work
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Observation 9a90dad8-22f3-4995-9be3-23a89620a890 · outbound
This paper cites Statistical Methods for Speech Recogni- tion.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Statistical Methods for Speech Recogni- tion
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation 2d18b204-ead3-48a5-987f-7d9df402fbe2 · outbound
This paper cites Data-efficient contrastive self-supervised learning: Most beneficial exam- ples for supervised learning contribute the least.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Data-efficient contrastive self-supervised learning: Most beneficial exam- ples for supervised learning contribute the least
Reference 19
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Observation 26c40066-ca40-4111-ba37-05090a8ab588 · outbound
This paper cites Data-efficient contrastive language-image pre- training: Prioritizing data quality over quantity, 2024.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Data-efficient contrastive language-image pre- training: Prioritizing data quality over quantity, 2024
Reference 20
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Observation 9fc42298-ffae-4ff3-b920-8f8db743d20e · outbound
This paper cites What’s ”up” with vision-language models? investigating their strug- gle with spatial reasoning, 2023.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation What’s ”up” with vision-language models? investigating their strug- gle with spatial reasoning, 2023
Reference 21
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Observation d9d34882-3d13-45ae-91ff-e3fc602c97ed · outbound
This paper cites Not all sam- ples are created equal: Deep learning with importance sam- pling.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Not all sam- ples are created equal: Deep learning with importance sam- pling
Reference 22
- Resolution
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Observation 80fbdd5b-f870-4798-9d68-55de9976f92d · outbound
This paper cites A diagram is worth a dozen images.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation A diagram is worth a dozen images
Reference 23
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Grad-match: Gradient matching based data subset selection for efficient deep model training
Reference 24
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Observation cd7275d1-fe30-4ccc-adeb-5b68524de13b · outbound
This paper cites Revisit large-scale image-caption data in pre-training multi- modal foundation models, 2024.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Revisit large-scale image-caption data in pre-training multi- modal foundation models, 2024
Reference 25
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Observation c6bc482d-75a7-4721-8036-7e202af722ea · outbound
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Veclip: Improving clip training via visual-enriched captions,
Reference 26
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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
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Textbooks are all you need ii: phi-1.5 technical report, 2023
Reference 28
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Visual instruction tuning, 2023
Reference 29
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Observation 6d8ee901-ecfc-4de0-818e-394d550b92a5 · outbound
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation T-MARS: Improving visual representations by circumventing text feature learning
Reference 30
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Observation 81b1b235-bad7-4ea9-9c48-ef461e92a2e8 · outbound
This paper cites When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale
Reference 31
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Joty, and Enamul Hoque
Reference 32
- Resolution
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Observation 585c7a07-f294-4e00-ba51-6e49d2fc65f0 · outbound
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Chartinstruct: Instruction tuning for chart comprehension and reasoning,
Reference 33
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Mmiu: Multimodal multi- image understanding for evaluating large vision-language models, 2024
Reference 34
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Coresets for data-efficient training of machine learning mod- els
Reference 35
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Orca 2: Teaching small language models how to reason, 2023
Reference 36
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Agentinstruct: Toward generative teaching with agentic flows, 2024
Reference 37
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Orca: Progressive learning from complex explanation traces of gpt- 4, 2023
Reference 38
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Improving multimodal datasets with image captioning
Reference 39
- Resolution
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Source-reported events for the cited work
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation GPT-4 Technical Report
Reference 40
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Deep learning on a data diet: Finding important ex- amples early in training
Reference 41
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Source-reported events for the cited work
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Adaptive second order coresets for data-efficient machine learning
Reference 42
- Resolution
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Source-reported events for the cited work
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Observation 0c9f476e-2b9f-404c-bc01-aeda92c41599 · outbound
This paper cites Learning transferable visual models from natural language supervision, 2021.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Learning transferable visual models from natural language supervision, 2021
Reference 43
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions
Reference 44
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Is a caption worth a thousand im- ages? a study on representation learning
Reference 45
- Resolution
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Source-reported events for the cited work
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Observation 39e4111d-ce49-4428-b350-7cedebdd518d · outbound
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Laion-5b: An open large-scale dataset for training next generation image-text models
Reference 46
- Resolution
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Source-reported events for the cited work
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Observation 36f9edc2-e3cb-4aa2-a14b-42e62cb9f5b1 · outbound
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning
Reference 47
- Resolution
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Source-reported events for the cited work
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Observation d94aea82-d231-4228-bf57-7325fe8e7948 · outbound
This paper cites Math- llava: Bootstrapping mathematical reasoning for multimodal large language models, 2024.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Math- llava: Bootstrapping mathematical reasoning for multimodal large language models, 2024
Reference 48
- Resolution
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Source-reported events for the cited work
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Observation f96b1b11-bae4-4952-b324-f9d0c1fd5603 · outbound
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MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Chatgpt-4 vision struggles with radiologic image interpretation
Reference 49
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8d4114e7-e92e-4315-919c-15eae6eea1b7 · outbound
This paper cites Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Reference 50
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7827bac-5b2f-49c4-9ae3-25caf3d7bdb2 · outbound
This paper cites an unresolved cited work.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Unresolved cited work
Reference 51
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 780bbae5-20fd-4acc-98d1-5ea42e275b6a · outbound
This paper cites An Empirical Study of Example Forgetting during Deep Neural Network Learning.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation An Empirical Study of Example Forgetting during Deep Neural Network Learning
Reference 52
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1565f15-2808-4542-a8ff-29620c750f04 · outbound
This paper cites Dynamic data selection for efficient ssl via coarse-to-fine re- finement.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Dynamic data selection for efficient ssl via coarse-to-fine re- finement
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:45:46.841057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 352f8531-7729-42b3-ac28-45ac41f85937 · outbound
This paper cites Show and tell: Lessons learned from the 2015 mscoco image captioning challenge.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Show and tell: Lessons learned from the 2015 mscoco image captioning challenge
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:45:46.063180Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1715ed42-84bd-4452-97d9-33cd6d7d81a4 · outbound
This paper cites Is a picture worth a thou- sand words? delving into spatial reasoning for vision lan- guage models.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Is a picture worth a thou- sand words? delving into spatial reasoning for vision lan- guage models
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:45:46.818213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 082548be-0f79-4cb3-b979-4b187a08643c · outbound
This paper cites Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data
Reference 56
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0728e6dd-9bae-4dee-8845-0769751b2e0b · outbound
This paper cites Capsfu- sion: Rethinking image-text data at scale, 2024.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Capsfu- sion: Rethinking image-text data at scale, 2024
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:45:46.803460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4c2bfe0e-b3a2-465f-98a9-51acff9f3453 · outbound
This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for ex- pert agi.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for ex- pert agi
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:45:46.788371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 42f49a25-c3fb-495b-876c-e260f90e1e37 · outbound
This paper cites Multimodal self-instruct: Synthetic abstract image and visual reasoning instruction using language model, 2024.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Multimodal self-instruct: Synthetic abstract image and visual reasoning instruction using language model, 2024
Reference 59
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 338dfdf7-4491-485b-b8a4-aa512523bbea · outbound
This paper cites Lima: Less is more for alignment.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Lima: Less is more for alignment
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:45:46.755567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0384b6f5-82c5-4c52-82d0-a9ce40c7e24e · outbound
This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Reference 61
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fca5074e-2878-4323-b264-106069c62193 · outbound
This paper cites an unresolved cited work.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Unresolved cited work
Reference 64
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7d031cdb-4b33-4c4b-9006-b195c8611540 · outbound
This paper cites an unresolved cited work.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Unresolved cited work
Reference 65
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3622dcb6-4e75-4d0a-a05b-a258c69a8ee3 · outbound
This paper cites an unresolved cited work.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Unresolved cited work
Reference 66
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:45:46.701823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2a2cd15e-85ae-4343-99ba-77929c6c5cd2 · outbound
This paper cites an unresolved cited work.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Unresolved cited work
Reference 67
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 59f8e91d-9f74-4057-80de-d888344960c2 · outbound
This paper cites Q": The generated question (include options if it’s multiple-choice). -.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Q": The generated question (include options if it’s multiple-choice). -
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:45:46.446901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 842fba42-ce9e-4cd6-a8e7-53cf0c9ec6a4 · outbound
This paper cites an unresolved cited work.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Unresolved cited work
Reference 69
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:45:46.428751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cbbbe3ac-33bd-45f5-9780-c2d150fa0176 · outbound
This paper cites an unresolved cited work.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Unresolved cited work
Reference 70
- Resolution
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- raw_fallback, observed 2026-08-10T21:45:46.409958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 363f0474-8c9a-4ed0-a547-9ffa06d47600 · outbound
This paper cites an unresolved cited work.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Unresolved cited work
Reference 71
- Resolution
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- raw_fallback, observed 2026-08-10T21:45:46.393032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 26f1a52b-f90d-4bdc-b54b-ae663d6e4b1a · outbound
This paper cites an unresolved cited work.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation Unresolved cited work
Reference 251
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bc4665e9-da03-44f8-9961-72f23475c1bb · outbound
This paper cites 3, 4, 5, 6.
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation 3, 4, 5, 6
Reference 2279
- Resolution
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- raw_fallback, observed 2026-08-10T21:45:47.201313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
Observation ac973bde-508f-42a9-8b61-26faac0367b8 · 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-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation
Reference 18
- Resolution
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- arxiv_id, observed 2026-05-13T02:57:09.442144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e8383d39-89ac-468f-83f8-6624a3821a07 · 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-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation
Reference 18
- Resolution
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- arxiv_id, observed 2026-05-14T21:29:28.681673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f93a6f5e-3930-4dc7-ad66-56309254a29c · inbound
Unlocking UML Class Diagram Understanding in Vision Language Models cites this paper.
Unlocking UML Class Diagram Understanding in Vision Language Models MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:42:02.618815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.