Paper Citation Record · LEDGER

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

As of 5 August 2026, this Paper Citation Record lists 100 of 137 outbound references and 79 inbound Pith citation observations for arXiv:2409.17146.

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

pith.paper-citation-record.v1
2409.17146 v2

Coverage vector

measured 100 of 137 reference resolution

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One-hop event checks from named stored sources.

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measured 79 of 79 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 137 outbound references displayed

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External citation measurements

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Outbound references

Observation 8d916b44-044f-43ce-999e-1e801b25f4e3 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Observation 4f641411-604c-47e7-b3b8-01b6f4a3ac00 · outbound

This paper cites TallyQA: Answering complex counting questions.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models TallyQA: Answering complex counting questions

Reference 2

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This paper cites Pixtral 12B.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Pixtral 12B

Reference 3

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This paper cites Yi: Open Foundation Models by 01.AI.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Yi: Open Foundation Models by 01.AI

Reference 4

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This paper cites The Llama 3 Herd of Models.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models The Llama 3 Herd of Models

Reference 5

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Observation c6af7ef7-eff2-4d66-8b95-a607f242baab · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Flamingo: a visual language model for few-shot learning

Reference 6

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Observation 9f6b7d5b-83e7-4505-93f4-18e264455955 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models The claude 3 model family: Opus, sonnet, haiku

Reference 7

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This paper cites Layer normalization.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Layer normalization

Reference 8

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Observation 27e7d071-5587-4757-8e1c-08f729938d42 · outbound

This paper cites Fuyu-8b: A multimodal architecture for ai agents.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Fuyu-8b: A multimodal architecture for ai agents

Reference 9

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Observation aa522005-f79e-433f-adfd-34aef21ec019 · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models PaliGemma: A versatile 3B VLM for transfer

Reference 10

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This paper cites Scene text visual question answering.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Scene text visual question answering

Reference 11

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This paper cites Honeybee: Locality-enhanced projector for multimodal llm.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Honeybee: Locality-enhanced projector for multimodal llm

Reference 12

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This paper cites ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models

Reference 13

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Observation 0c4271e4-c97b-4810-9b10-48639d805bf4 · outbound

This paper cites EVLM: An Efficient Vision-Language Model for Visual Understanding.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models EVLM: An Efficient Vision-Language Model for Visual Understanding

Reference 14

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Observation 3d13dbdd-8cfd-4bf8-9514-8fd46658da54 · outbound

This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 15

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Observation 10afaa3d-1884-4f6b-a3e5-33fb556baf50 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Evaluating Large Language Models Trained on Code

Reference 16

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Observation e27abcfe-0a82-4689-8963-6ac137d7c451 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 17

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Observation c9085aad-b652-4417-917f-ead2dd30e829 · outbound

This paper cites PaLI-3 Vision Language Models: Smaller, Faster, Stronger.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models PaLI-3 Vision Language Models: Smaller, Faster, Stronger

Reference 18

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Observation 76eee52b-6244-42d1-9162-682f15aa8c30 · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 19

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Observation b2d6ab35-3a86-4b40-b859-530942728310 · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Reproducible scaling laws for contrastive language-image learning

Reference 20

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Observation 989c6a9f-11af-4e98-976c-94a7c3d554ac · outbound

This paper cites Chatbot arena: An open platform for evaluating LLMs by human preference.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Chatbot arena: An open platform for evaluating LLMs by human preference

Reference 21

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Observation 3a7116c2-28ef-48f8-b48b-af9dfecf4bad · outbound

This paper cites MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices

Reference 22

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This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 23

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This paper cites Training Verifiers to Solve Math Word Problems.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Training Verifiers to Solve Math Word Problems

Reference 24

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This paper cites On implementing 2d rectangular assignment algo- rithms.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models On implementing 2d rectangular assignment algo- rithms

Reference 25

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Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Unresolved cited work

Reference 26

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Observation 16ae0048-5fc7-49ca-96b3-56406959f01c · outbound

This paper cites NVLM: Open Frontier-Class Multimodal LLMs.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models NVLM: Open Frontier-Class Multimodal LLMs

Reference 27

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This paper cites FlashAttention-2: Faster attention with better parallelism and work partitioning.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models FlashAttention-2: Faster attention with better parallelism and work partitioning

Reference 28

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This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher R´e.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Fu, Stefano Ermon, Atri Rudra, and Christopher R´e

Reference 29

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This paper cites InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Reference 30

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This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models An image is worth 16x16 words: Transformers for image recognition at scale

Reference 31

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Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models VILA$^2$: VILA Augmented VILA

Reference 32

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This paper cites Devise: A deep visual-semantic embedding model.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Devise: A deep visual-semantic embedding model

Reference 33

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Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models VITA: Towards Open-Source Interactive Omni Multimodal LLM

Reference 34

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This paper cites Scaling Synthetic Data Creation with 1,000,000,000 Personas.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 35

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This paper cites Making the V in VQA matter: Elevating the role of image understanding in visual question answering.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Making the V in VQA matter: Elevating the role of image understanding in visual question answering

Reference 36

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Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Unresolved cited work

Reference 37

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This paper cites Measuring massive multitask language understanding.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Measuring massive multitask language understanding

Reference 38

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This paper cites Mea- suring mathematical problem solving with the math dataset.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Mea- suring mathematical problem solving with the math dataset

Reference 39

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Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Accu- mulated gradient normalization

Reference 40

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

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models CogVLM2: Visual Language Models for Image and Video Understanding

Reference 41

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This paper cites mplug-docowl 1.5: Unified structure learning for ocr-free document understanding.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models mplug-docowl 1.5: Unified structure learning for ocr-free document understanding

Reference 42

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This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Scaling up visual and vision-language representation learning with noisy text supervision

Reference 43

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Observation 95518f9a-3b1a-4faa-8955-5d1b15b44eb1 · outbound

This paper cites MANTIS: Interleaved Multi-Image Instruction Tuning.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models MANTIS: Interleaved Multi-Image Instruction Tuning

Reference 44

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Observation 18e20941-9771-4b83-aea7-d2db56a4fc80 · outbound

This paper cites A shortest augmenting path algo- rithm for dense and sparse linear assignment problems.Computing.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models A shortest augmenting path algo- rithm for dense and sparse linear assignment problems.Computing

Reference 45

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This paper cites DVQA: Understanding data visualizations via question answering.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models DVQA: Understanding data visualizations via question answering

Reference 46

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 809132a1-3500-48e1-be6e-5059b88d2933 · outbound

This paper cites FigureQA: An Annotated Figure Dataset for Visual Reasoning.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models FigureQA: An Annotated Figure Dataset for Visual Reasoning

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:55:12.623827Z

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Observation 295792de-3296-4a4f-bbc7-0ba24a18c730 · outbound

This paper cites Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:55:12.626959Z

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Observation 58941f00-4e33-426e-ba9c-28ea8bb3938e · outbound

This paper cites A diagram is worth a dozen images.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models A diagram is worth a dozen images

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.876438Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f93cecd4-64e1-474e-a157-5ad3b6a8f9ab · outbound

This paper cites Adam: A method for stochastic optimization.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Adam: A method for stochastic optimization

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.878933Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e35b5c95-b6f8-4a6c-a3c7-fc9c18609abd · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Doll´ar, and Ross Girshick.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Berg, Wan-Yen Lo, Piotr Doll´ar, and Ross Girshick

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.881620Z

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Observation 22c41068-de0b-4278-883e-0220f1872a23 · outbound

This paper cites Shamma, Michael S.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Shamma, Michael S

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.883633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1b0193d8-2822-4c1f-adfc-bc2c5f70e459 · outbound

This paper cites The open images dataset v4: Unified image classification, object detection, and visual relation- ship detection at scale.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models The open images dataset v4: Unified image classification, object detection, and visual relation- ship detection at scale

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.885894Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 33e2b272-aef7-43ed-a3d4-b2fd70c979bb · outbound

This paper cites Building and better understanding vision-language models: insights and future directions.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Building and better understanding vision-language models: insights and future directions

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:55:12.630563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 88a0a4bb-f973-4747-8366-f7b26dc263b2 · outbound

This paper cites Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:55:12.633620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 73c0fa3e-d4f1-46eb-bce9-1b34fabd9625 · outbound

This paper cites OtterHD: A High-Resolution Multi-modality Model.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models OtterHD: A High-Resolution Multi-modality Model

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:55:12.636644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b975245f-b26e-4cf2-ae75-f3254cc1188d · outbound

This paper cites MIMIC-IT: Multi-Modal In-Context Instruction Tuning.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models MIMIC-IT: Multi-Modal In-Context Instruction Tuning

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:55:12.639738Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 733a87e2-4dcf-4f13-88ca-c5e9c83c261b · outbound

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

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Otter: A Multi-Modal Model with In-Context Instruction Tuning

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:43:48.053680Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0a1fa6ab-bb1e-4d10-8053-2d0f6c1ab2e4 · outbound

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

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models LLaVA-OneVision: Easy Visual Task Transfer

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:55:12.646452Z

Source-reported events for the cited work

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Observation 175a6c54-d799-48dd-b88f-a9074bf358cd · outbound

This paper cites Blip: Boot- strapping language-image pre-training for unified vision-language understanding and generation.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Blip: Boot- strapping language-image pre-training for unified vision-language understanding and generation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.726853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation efaa6182-b356-4a6f-a8b5-8cab6baa616d · outbound

This paper cites Covlm: Composing visual entities and relationships in large language models via communicative de- coding.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Covlm: Composing visual entities and relationships in large language models via communicative de- coding

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.728901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1f7d1fa6-f636-4c3c-8fce-e625e4fc7b27 · outbound

This paper cites On the Effects of Data Scale on UI Control Agents.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models On the Effects of Data Scale on UI Control Agents

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:55:12.649806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fd9b7035-1361-4cf5-ab62-a68f0c2c147b · outbound

This paper cites Monkey: Image resolution and text label are important things for large multi-modal models.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Monkey: Image resolution and text label are important things for large multi-modal models

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.732507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7c4f82bd-232a-4ce2-9930-e2a40a6011cb · outbound

This paper cites MoE-LLaVA: Mixture of Experts for Large Vision-Language Models.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:33:30.459169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ae981ab4-9564-4a22-b692-c3f0b5fc71df · outbound

This paper cites Mi- crosoft coco: Common objects in context.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Mi- crosoft coco: Common objects in context

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.736464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4cd61f70-2dbe-4925-a00c-1afc98be521d · outbound

This paper cites GRES: Generalized referring expression segmentation.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models GRES: Generalized referring expression segmentation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.738341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b9c48908-59ac-48cb-9350-c02d431efc71 · outbound

This paper cites SPHINX-x: Scaling data and parameters for a family of multi- modal large language models.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models SPHINX-x: Scaling data and parameters for a family of multi- modal large language models

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.740252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 00907bf3-cd35-4657-b388-5e313e8e44d5 · outbound

This paper cites MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:55:12.656437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a154ac9f-d09e-4fd9-b233-65d1d867ba7c · outbound

This paper cites Visual instruction tuning.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Visual instruction tuning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.743742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 259a9fae-5cc0-40ef-86d4-71f275b4b70d · outbound

This paper cites Improved baselines with visual instruction tuning.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Improved baselines with visual instruction tuning

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.745606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 47de1e46-8e0d-4f37-8efe-49916253543d · outbound

This paper cites Llava-next: Improved reasoning, ocr, and world knowledge.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Llava-next: Improved reasoning, ocr, and world knowledge

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.747825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 33474c40-71df-42f0-8198-39abc54cb99f · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:55:12.659286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7d8bb6a7-159b-4a39-bb7e-48ec9315cbf4 · outbound

This paper cites Decoupled weight decay regu- larization.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Decoupled weight decay regu- larization

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.751473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 81c71248-cc10-452a-9eae-4158779acee1 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:55:12.662275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2e3ce511-9b32-4b58-b1c2-d783d8aa6441 · outbound

This paper cites Unified-io 2: Scaling autoregressive multimodal models with vision language audio and action.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Unified-io 2: Scaling autoregressive multimodal models with vision language audio and action

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.755069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d7bc6368-5151-44a8-aa86-f1930c8bc96c · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for sci- ence question answering.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Learn to explain: Multimodal reasoning via thought chains for sci- ence question answering

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.756941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a8b3a234-af38-4831-92ef-2a68e20ae143 · outbound

This paper cites Dy- namic prompt learning via policy gradient for semi-structured math- ematical reasoning.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Dy- namic prompt learning via policy gradient for semi-structured math- ematical reasoning

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.759195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5d625152-6f44-4ac7-b117-d7fc2b6a6040 · outbound

This paper cites MathVista: Evaluating mathematical reasoning of foundation models in visual contexts.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models MathVista: Evaluating mathematical reasoning of foundation models in visual contexts

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.761070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 55c7b206-57f1-43f5-a9d1-8e5377195d9d · outbound

This paper cites Cheap and quick: Efficient vision-language in- struction tuning for large language models.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Cheap and quick: Efficient vision-language in- struction tuning for large language models

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.763583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9245dc91-9630-459b-b637-553008f44f89 · outbound

This paper cites ExpertQA: Expert-Curated Questions and Attributed Answers.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models ExpertQA: Expert-Curated Questions and Attributed Answers

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:55:12.665306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b5284158-b423-4a2f-b560-1280095a16aa · outbound

This paper cites OK-VQA: A visual question answering benchmark re- quiring external knowledge.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models OK-VQA: A visual question answering benchmark re- quiring external knowledge

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.767156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 957c4882-cb5c-40eb-8ecb-80e9b9472453 · outbound

This paper cites ChartQA: A benchmark for question answering about charts with visual and logical reasoning.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models ChartQA: A benchmark for question answering about charts with visual and logical reasoning

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.769089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bf158c1b-e9cc-4f3d-8506-32749ddfa62f · outbound

This paper cites DocVQA: A dataset for VQA on document images.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models DocVQA: A dataset for VQA on document images

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.771707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3dd108be-bf0c-4aa3-b9a1-4729fa220f9d · outbound

This paper cites InfographicVQA.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models InfographicVQA

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.773612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation db67f8a3-8083-40ea-b8f4-c41282c2bd7a · outbound

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

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-16T04:09:36.761640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fe9fa82c-70a6-4603-998d-e2ad55fb2439 · outbound

This paper cites PlotQA: Reasoning over scientific plots.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models PlotQA: Reasoning over scientific plots

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.779430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7e25d38f-c1c0-45d2-8339-650a94a7e581 · outbound

This paper cites OLMoE: Open Mixture-of-Experts Language Models.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models OLMoE: Open Mixture-of-Experts Language Models

Reference 87

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T14:43:13.722529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ab04819f-78a2-43de-af8c-ee4b016baa7a · outbound

This paper cites GPT-4 Technical Report.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models GPT-4 Technical Report

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:55:12.673580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 46f43994-70be-4b43-becc-ad381b784019 · outbound

This paper cites GPT-4o mini system card.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models GPT-4o mini system card

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.796338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7d7e216d-8211-46a2-bbbb-d199f3f7dd8a · outbound

This paper cites GPT-4o System Card.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models GPT-4o System Card

Reference 90

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:55:12.676404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e13f6784-27fc-4f31-a098-5fce1a425133 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models DINOv2: Learning Robust Visual Features without Supervision

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:55:12.679057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0b673372-18ef-4d2c-ac6e-5f632337b2b9 · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 92

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:55:12.681581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f7b0621a-0b12-4e6a-945b-0833c445c289 · outbound

This paper cites Connecting vision and language with lo- calized narratives.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Connecting vision and language with lo- calized narratives

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.803801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation eac89216-e82d-4cc1-bfbe-f2966e4a05f8 · outbound

This paper cites Jack of all tasks, master of many: Designing general- purpose coarse-to-fine vision-language model.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Jack of all tasks, master of many: Designing general- purpose coarse-to-fine vision-language model

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:55:12.806020Z

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Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Improving language understanding by generative pre- training

Reference 95

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Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models 28 Learning transferable visual models from natural language supervi- sion

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Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models GLaMM: Pixel grounding large multimodal model

Reference 97

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Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models LAION-5B: An open large-scale dataset for training next generation image-text models

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Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models A-OKVQA: A benchmark for vi- sual question answering using world knowledge

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Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Towards VQA models that can read

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Pixtral 12B Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement cites this paper.

Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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PaliGemma 2: A Family of Versatile VLMs for Transfer cites this paper.

PaliGemma 2: A Family of Versatile VLMs for Transfer Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction cites this paper.

Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 75

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NVILA: Efficient Frontier Visual Language Models Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 54

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DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 52

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VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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Seeing is Understanding: Unlocking Causal Attention into Modality-Mutual Attention for Multimodal LLMs Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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SmolVLM: Redefining small and efficient multimodal models Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 31

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Perception Encoder: The best visual embeddings are not at the output of the network cites this paper.

Perception Encoder: The best visual embeddings are not at the output of the network Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 25

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$\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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Seed1.5-VL Technical Report Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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Grounded Reinforcement Learning for Visual Reasoning Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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A Survey on Vision-Language-Action Models: An Action Tokenization Perspective Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 182

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High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 7

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When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation cites this paper.

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 7

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Reference 30

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Kwai Keye-VL 1.5 Technical Report Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 28

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Reinforced Visual Perception with Tools Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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LExI: Layer-Adaptive Active Experts for Efficient MoE Model Inference Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 2021

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Reference 2024

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VisCoder2: Building Multi-Language Visualization Coding Agents Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control cites this paper.

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Reference 49

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TrajTok: Learning Trajectory Tokens enables better Video Understanding Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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TrajTok: Learning Trajectory Tokens enables better Video Understanding cites this paper.

TrajTok: Learning Trajectory Tokens enables better Video Understanding Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T20:38:37.346586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da3b6ecc-b7da-44d6-93c5-a7b33b8e36b0 · inbound

TiPToP: A Modular Open-Vocabulary Robot Manipulation System That Plans cites this paper.

TiPToP: A Modular Open-Vocabulary Robot Manipulation System That Plans Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T18:31:40.819754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a115856-c175-4260-8ee8-46c105ffe1f3 · inbound

Evaluating Vision Foundation Models for Pixel and Object Classification in Microscopy cites this paper.

Evaluating Vision Foundation Models for Pixel and Object Classification in Microscopy Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:42.744282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 271ab0f9-1f78-4a54-88dc-b679a7b170dd · inbound

A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model cites this paper.

A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:55:12.888993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 211cac15-8573-4f9a-b6de-edb2618fc9f0 · inbound

ABMAMBA: Multimodal Large Language Model with Aligned Hierarchical Bidirectional Scan for Efficient Video Captioning cites this paper.

ABMAMBA: Multimodal Large Language Model with Aligned Hierarchical Bidirectional Scan for Efficient Video Captioning Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:55:12.888993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4828e8f5-3a9c-4eac-a049-45900830e3db · inbound

Entropy-Gradient Grounding: Training-Free Evidence Retrieval in Vision-Language Models cites this paper.

Entropy-Gradient Grounding: Training-Free Evidence Retrieval in Vision-Language Models Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:55:12.888993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5e4c86e9-9082-4271-9169-156300307c1c · inbound

Anthropogenic Regional Adaptation in Multimodal Vision-Language Model cites this paper.

Anthropogenic Regional Adaptation in Multimodal Vision-Language Model Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:55:12.888993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb95ea42-25b9-47d4-87b4-59507d6e45a9 · inbound

UniMesh: Unifying 3D Mesh Understanding and Generation cites this paper.

UniMesh: Unifying 3D Mesh Understanding and Generation Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:55:12.888993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 10fe9bf2-e95c-4301-af01-7f0d9f1eacf2 · inbound

PRTS: A Primitive Reasoning and Tasking System via Contrastive Representations cites this paper.

PRTS: A Primitive Reasoning and Tasking System via Contrastive Representations Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:55:12.888993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 65f28d80-14f7-4cae-a642-f088e0e49f94 · inbound

Visibility-Aware Mobile Grasping in Dynamic Environments cites this paper.

Visibility-Aware Mobile Grasping in Dynamic Environments Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:55:12.888993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 298e1376-4c87-480c-92b1-cf60ddfbc751 · inbound

Visibility-Aware Mobile Grasping in Dynamic Environments cites this paper.

Visibility-Aware Mobile Grasping in Dynamic Environments Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:55:12.888993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c1a3f6cf-72a5-4c82-bce2-7e8d88395cb3 · inbound

When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise cites this paper.

When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:55:12.888993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ee9e83c5-b2d8-4f7a-8f53-39c69e9ad358 · inbound

When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise cites this paper.

When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:55:12.888993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 605ca1b7-7702-4d2d-af34-4d419a2969c6 · 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 Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:55:12.888993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 99da1db6-1974-4923-912d-a95c4bcd97d1 · 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 Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:55:12.888993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f2b47308-92f2-48b3-a1bb-140b9b36d1ea · inbound

Beyond Waypoints: Dual-Heatmap Grounding for Cross-Embodiment Semantic Navigation cites this paper.

Beyond Waypoints: Dual-Heatmap Grounding for Cross-Embodiment Semantic Navigation Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-20T05:58:05.388019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3754e66a-e946-447b-a587-ed2e7a417482 · inbound

Binding Visual Features Point by Point cites this paper.

Binding Visual Features Point by Point Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-06-29T23:44:03.290485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 09a2392a-73ee-43b9-86d8-e8694f9d8ab5 · inbound

LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence cites this paper.

LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T22:13:59.623529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0b7fb262-8dd6-44cb-ab57-d65d0ccf9d8e · inbound

VCap: Hypergeometric Rewards for Weak-to-Strong Visual Captioning cites this paper.

VCap: Hypergeometric Rewards for Weak-to-Strong Visual Captioning Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T13:23:28.479602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8338fa87-ef7c-4a6a-a574-7e2476c4d907 · inbound

OpenEAI-Platform: An Open-source Embodied Artificial Intelligence Hardware-Software Unified Platform cites this paper.

OpenEAI-Platform: An Open-source Embodied Artificial Intelligence Hardware-Software Unified Platform Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T03:56:35.248704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 186f8c83-491b-466e-a3c9-99a916e9a67c · inbound

TurtleAI: Benchmarking Multimodal Models for Visual Programming in Turtle Graphics cites this paper.

TurtleAI: Benchmarking Multimodal Models for Visual Programming in Turtle Graphics Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 2

Resolution: malformed identifier; local_arxiv, observed 2026-07-02T02:56:29.434215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2991a7a4-e583-4535-9552-f3ac570c3285 · inbound

FindIt: A Format-Informed Visual Detection Benchmark for Generalist Multimodal LLMs cites this paper.

FindIt: A Format-Informed Visual Detection Benchmark for Generalist Multimodal LLMs Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-02T03:06:30.404545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 429dbaf1-c476-4e4c-8d6e-99e6ec024e7e · inbound

VoLo: A Physical Orchestrator for Open-Vocabulary Long-Horizon Manipulation cites this paper.

VoLo: A Physical Orchestrator for Open-Vocabulary Long-Horizon Manipulation Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T19:07:18.187904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dff2304c-45b6-45ef-ba6e-d4833df9e37c · inbound

Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding cites this paper.

Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 43

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T17:52:27.179206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d41d686e-968f-4083-9174-6917fd592dfe · inbound

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

Kwai Keye-VL-2.0 Technical Report Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 47

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T04:27:37.148270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8dc55f05-b5d0-4062-baa6-a9031859f552 · inbound

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

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 126

Resolution: verified exact; local_arxiv, observed 2026-07-03T20:48:56.137353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 171174b7-0028-4b2f-b4ed-77c362ac8346 · inbound

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA cites this paper.

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T03:39:30.305306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 87be315a-80fe-4ba8-a9d9-6b8367d7d947 · inbound

Efficient Visual Pointing for Embodied AI:Agent-Driven Data Synthesis, Cross-Block Attention, and Iterative Correction cites this paper.

Efficient Visual Pointing for Embodied AI:Agent-Driven Data Synthesis, Cross-Block Attention, and Iterative Correction Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-06-30T06:44:18.638769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 24835933-4e67-4a74-9600-2c350fc5ca88 · inbound

Program-as-Weights: A Programming Paradigm for Fuzzy Functions cites this paper.

Program-as-Weights: A Programming Paradigm for Fuzzy Functions Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 43

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T16:18:37.231396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ca4cabcf-6b18-4f73-b78c-c9855e5d509d · inbound

BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception cites this paper.

BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 231

Resolution: unresolved; no resolver link, observed 2026-07-12T04:17:40.198357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 505b980e-1fb0-44cb-938a-fcb73327db0e · inbound

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

MentalThink: Shaping Thoughts in Mental SVG World Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 284

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81e3cb87-82b7-4d68-8baa-9e4f70a9d5ec · inbound

ACE-Brain-0.5: A Unified Embodied Foundational Model for Physical Agentic AI cites this paper.

ACE-Brain-0.5: A Unified Embodied Foundational Model for Physical Agentic AI Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 159

Resolution: unresolved; no resolver link, observed 2026-07-11T19:16:57.396710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d30f5a49-2cbe-4992-96d7-716a8ed7b9b0 · inbound

LookME: Lookup-Based Multimodal Embeddings for Layer Injection in Vision-Language Models cites this paper.

LookME: Lookup-Based Multimodal Embeddings for Layer Injection in Vision-Language Models Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:14.240999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef0405c2-9e41-413c-b7e9-71406a9ff105 · inbound

MVEI & EmObserver: Empowering MLLM-Oriented Visual Emotional Intelligence via Emotion Statement Judgement cites this paper.

MVEI & EmObserver: Empowering MLLM-Oriented Visual Emotional Intelligence via Emotion Statement Judgement Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T08:37:42.483019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ef0d572-a1e8-495c-afcc-558fd2e7a8f6 · inbound

Data Pyramid for Embodied Manipulation cites this paper.

Data Pyramid for Embodied Manipulation Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 87

Resolution: unresolved; no resolver link, observed 2026-07-31T06:18:55.420407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dfa9635-ff28-466f-8fe5-ac4da1bda456 · inbound

Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model cites this paper.

Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-31T06:20:13.807875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3506be23-9ce8-4aaa-8b1c-b20d03c98b34 · inbound

$\pi\mathbf{R}^2$: Reactive Real-time Flow Policies cites this paper.

$\pi\mathbf{R}^2$: Reactive Real-time Flow Policies Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T00:49:33.132703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1728ff29-10d0-4f86-96de-62aa7cfc815f · inbound

ParVL: Parallel Scaling and Expandable Compute Allocation for Multimodal LLMs cites this paper.

ParVL: Parallel Scaling and Expandable Compute Allocation for Multimodal LLMs Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T04:16:08.346639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.