Paper Citation Record · LEDGER

Aria: An Open Multimodal Native Mixture-of-Experts Model

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 47 inbound Pith citation observations for arXiv:2410.05993.

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

pith.paper-citation-record.v1
2410.05993 v4

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 47 of 47 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:15.480907Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:49:39.565893Z

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Outbound references

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Pith citing papers

Observation 63d04862-f1a2-4fe4-9032-23211b9dec67 · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 220

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:08:27.787101Z

Source-reported events for the cited work

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Observation 6ae4961c-ef96-458c-9340-fd90ed497a19 · inbound

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding cites this paper.

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:09:23.665883Z

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Observation 7f7d654c-d3c0-4c4c-a437-1618750f0f72 · inbound

MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models cites this paper.

MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-23T05:45:28.351105Z

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Observation 760a6262-90f3-4eb9-8b22-62e863cfc59e · inbound

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos cites this paper.

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-16T11:39:22.513505Z

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Observation c5f32c4e-ddd6-47aa-8090-8408a836f07f · inbound

Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos cites this paper.

Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-14T00:32:41.254763Z

Source-reported events for the cited work

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Observation 8821343c-b7a2-4f6e-811a-0b539bf251f3 · inbound

TransBench: Breaking Barriers for Transferable Graphical User Interface Agents in Dynamic Digital Environments cites this paper.

TransBench: Breaking Barriers for Transferable Graphical User Interface Agents in Dynamic Digital Environments Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 17

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Observation 7e7399e0-866e-4842-a160-4c0336e41f05 · inbound

VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation cites this paper.

VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 6

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Observation 21cc2dfd-dfd4-44a1-b1c5-5e5e52635d85 · inbound

FlexSelect: Flexible Token Selection for Efficient Long Video Understanding cites this paper.

FlexSelect: Flexible Token Selection for Efficient Long Video Understanding Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 15

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Observation 264fb417-cc39-45a4-a218-e19a0cc9fa8d · inbound

DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding cites this paper.

DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 14

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Observation 956df445-02d3-43c9-ba84-4aa92a14787f · inbound

Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning cites this paper.

Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 24

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Observation 5aa974a3-aacc-4d02-a416-d2cbbb1fc859 · inbound

VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos cites this paper.

VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 14

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Observation 61a95390-c468-4b95-992e-c6f6636ede24 · inbound

Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding cites this paper.

Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 21

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Observation f1bce6f4-2bd2-43e1-b54c-0a8033a0e85c · inbound

SMAR: Soft Modality-Aware Routing Strategy for MoE-based Multimodal Large Language Models Preserving Language Capabilities cites this paper.

SMAR: Soft Modality-Aware Routing Strategy for MoE-based Multimodal Large Language Models Preserving Language Capabilities Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 20

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Observation b92b4578-1639-44c9-8c4e-488ab0c0a9d5 · inbound

CyberV: Cybernetics for Test-time Scaling in Video Understanding cites this paper.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 30

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Observation bdeedada-c8a1-4732-8f62-8830251ce4c6 · inbound

VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos cites this paper.

VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 30

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Source-reported events for the cited work

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Observation 03a9cf9c-51af-453e-893c-cbad769da65f · inbound

SeqPE: Transformer with Sequential Position Encoding cites this paper.

SeqPE: Transformer with Sequential Position Encoding Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 27

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Observation d45607f7-0eeb-4f4a-9271-0dce9d0007ae · inbound

VL-GenRM: Enhancing Vision-Language Verification via Vision Experts and Iterative Training cites this paper.

VL-GenRM: Enhancing Vision-Language Verification via Vision Experts and Iterative Training Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 69

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Observation e9d3eefd-96c8-4e8b-ad0a-a00b44db0101 · inbound

MMSearch-R1: Incentivizing LMMs to Search cites this paper.

MMSearch-R1: Incentivizing LMMs to Search Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.381238Z

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Observation 84e3669f-09fa-4e89-bf38-aecdd5b59f7a · inbound

IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering cites this paper.

IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 84

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Observation eead32a8-c627-48ac-b545-2cbbaea125dc · inbound

CAVALRY-V: A Large-Scale Generator Framework for Adversarial Attacks on Video MLLMs cites this paper.

CAVALRY-V: A Large-Scale Generator Framework for Adversarial Attacks on Video MLLMs Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 16

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Observation 81842245-3584-42af-815f-d44d8e3626c9 · inbound

AVC-DPO: Aligned Video Captioning via Direct Preference Optimization cites this paper.

AVC-DPO: Aligned Video Captioning via Direct Preference Optimization Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:53:20.062315Z

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Observation 67cf1236-7fa1-4118-8cbe-6711b0775924 · inbound

AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding cites this paper.

AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 45

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Observation 9e98d311-ebb1-4b89-86f5-713a3c31b6e6 · inbound

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis cites this paper.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 15

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Observation a3e25417-5864-4888-a920-35b88ceee824 · inbound

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

VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 4

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Observation 5512c647-879c-48fd-b611-5cd6e6d1ced4 · inbound

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models cites this paper.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:59.827141Z

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Observation 25639214-899c-434e-956e-1357c905573c · inbound

TimeExpert: An Expert-Guided Video LLM for Video Temporal Grounding cites this paper.

TimeExpert: An Expert-Guided Video LLM for Video Temporal Grounding Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 25

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Observation 27fc9e3e-772a-4fb5-8274-f53805fd91b9 · inbound

"Harmless to You, Hurtful to Me!": Investigating the Detection of Toxic Languages Grounded in the Perspective of Youth cites this paper.

"Harmless to You, Hurtful to Me!": Investigating the Detection of Toxic Languages Grounded in the Perspective of Youth Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T05:15:42.093183Z

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Observation 967cacbc-4c71-454c-96d2-8db4b59de9d3 · inbound

VLM4D: Towards Spatiotemporal Awareness in Vision Language Models cites this paper.

VLM4D: Towards Spatiotemporal Awareness in Vision Language Models Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 46

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Observation 525d0f11-90c8-43dc-9609-5537117c5b0f · inbound

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

HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-05T19:03:10.590321Z

Source-reported events for the cited work

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Observation 748abe4c-ecc3-4ce2-9b2c-bce63cc6da9b · inbound

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation cites this paper.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 73

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Observation 4decabbf-88ca-4b45-9f26-4fc0e6e38fec · inbound

Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search cites this paper.

Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:17:55.677423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a133ce72-f350-4e46-b0ab-30c9f0976478 · inbound

MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models cites this paper.

MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T20:32:56.586319Z

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Observation f84a2837-f958-4a6f-b14a-661a3cf0974f · inbound

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning cites this paper.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T17:46:56.236585Z

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Observation 6a12fce7-745b-41bb-aa36-4dfe8bc923bf · inbound

LongVideo-R1: Smart Navigation for Low-cost Long Video Understanding cites this paper.

LongVideo-R1: Smart Navigation for Low-cost Long Video Understanding Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:01:33.431023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 20fe5682-f600-44dc-a371-8c6b83588456 · inbound

VideoStir: Understanding Long Videos via Spatio-Temporally Structured and Intent-Aware RAG cites this paper.

VideoStir: Understanding Long Videos via Spatio-Temporally Structured and Intent-Aware RAG Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:15:50.236502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf2041fa-7470-46f5-a5cf-576a911d4d48 · inbound

DR-MMSearchAgent: Deepening Reasoning in Multimodal Search Agents cites this paper.

DR-MMSearchAgent: Deepening Reasoning in Multimodal Search Agents Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:31:08.078362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 207c8141-ec26-4d31-a20d-2de2f3daa16c · inbound

ProMMSearchAgent: A Generalizable Multimodal Search Agent Trained with Process-Oriented Rewards cites this paper.

ProMMSearchAgent: A Generalizable Multimodal Search Agent Trained with Process-Oriented Rewards Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:41:10.087841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8c1a6100-ea69-4415-b286-51f3fb6d7d16 · inbound

OProver: A Unified Framework for Agentic Formal Theorem Proving cites this paper.

OProver: A Unified Framework for Agentic Formal Theorem Proving Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 69

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T14:48:23.469466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f31884c4-788a-4c9a-a17b-e330fee1ded4 · inbound

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

LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:13:59.644704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 75332c6c-2cce-4d14-97c2-1754d2c6854d · inbound

MobileMoE: Scaling On-Device Mixture of Experts cites this paper.

MobileMoE: Scaling On-Device Mixture of Experts Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:53:51.431424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36825118-971b-4ca7-b7a7-0ee70fab0eb3 · inbound

Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models cites this paper.

Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:26:00.060381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 78e9bca3-f6e7-40d1-9b2c-92288425112e · inbound

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers cites this paper.

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 291

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:28:32.081900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c308a88b-ff1d-4416-a119-d94f25a1d378 · inbound

CogniRoute: Learning to Route Social Evidence in Omni-Modal Models cites this paper.

CogniRoute: Learning to Route Social Evidence in Omni-Modal Models Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 150

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:49:30.343170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11cbdc20-f013-4cad-adfc-486ee162293d · inbound

HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning cites this paper.

HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:39:37.708094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 834e8346-8de0-4ee5-8cd5-66661c36e10b · inbound

WiSP: A Working-Set View of Mixture-of-Experts Serving on Extremely Low-Resource Hardware cites this paper.

WiSP: A Working-Set View of Mixture-of-Experts Serving on Extremely Low-Resource Hardware Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:49:39.567377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation af36094b-e3bd-4a0e-94ea-65fee3fc4322 · inbound

Beyond Global Routing Aggregation: Phase-Aware Expert Merging for MoE Vision-Language Models cites this paper.

Beyond Global Routing Aggregation: Phase-Aware Expert Merging for MoE Vision-Language Models Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:36.918993Z

Source-reported events for the cited work

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Observation 73900df1-0d7c-4843-b1c9-72d742d9c704 · inbound

Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes cites this paper.

Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:27.943328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.