Paper Citation Record · LEDGER

MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2407.21770.

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

pith.paper-citation-record.v1
2407.21770 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

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

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:08:55.235539Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:20:06.471468Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1bd63181-8d95-49c4-b454-5c7c89b9322c · inbound

Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models cites this paper.

Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:48:45.029450Z

Source-reported events for the cited work

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

Observation 42cc3970-c69b-40b2-bd93-4a1d661a05ee · inbound

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization cites this paper.

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:16:17.269254Z

Source-reported events for the cited work

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

Observation 9c745885-3cd2-4023-9e08-f5804c1b595c · inbound

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models cites this paper.

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-08T14:25:55.756888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a19fe339-e502-46c4-b036-b9e155998380 · inbound

Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation cites this paper.

Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-17T07:24:04.891427Z

Source-reported events for the cited work

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

Observation b1027178-e266-4836-8767-f51acae4cf53 · inbound

I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts cites this paper.

I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:02.222716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26fefa45-c544-4695-829a-117c3d0093d2 · inbound

An Audio-centric Multi-task Learning Framework for Streaming Ads Targeting on Spotify cites this paper.

An Audio-centric Multi-task Learning Framework for Streaming Ads Targeting on Spotify MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:55.559369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24150172-6649-4036-bbcf-77b5b22c47d7 · inbound

MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models cites this paper.

MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T18:44:15.705658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a5d6262-037d-431e-83b5-cee3b08144d0 · 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 MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:59.656307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c32caf9a-e94d-4afd-8c31-6a6dc26ff922 · inbound

Advancing the Foundation Model for Music Understanding cites this paper.

Advancing the Foundation Model for Music Understanding MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T05:49:55.313758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2cd9133-f2b9-42c3-990d-b8692c9cfbf7 · inbound

SMoES: Soft Modality-Guided Expert Specialization in MoE-VLMs cites this paper.

SMoES: Soft Modality-Guided Expert Specialization in MoE-VLMs MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:36:18.566272Z

Source-reported events for the cited work

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

Observation 57e87d1c-9fd2-41f0-bc2f-3bfdd81001db · inbound

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture cites this paper.

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:17:18.708488Z

Source-reported events for the cited work

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

Observation 07e6f2dc-4aea-48c2-b9a5-140eb442ef21 · inbound

Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Survey cites this paper.

Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Survey MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:34:48.307214Z

Source-reported events for the cited work

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

Observation e8a973ff-684f-4a41-88f1-64664263ee9e · inbound

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

Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:26:00.055166Z

Source-reported events for the cited work

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

Observation b70e90c9-da62-4e31-9688-cc95741ebc27 · inbound

Sparsely gated tiny linear experts cites this paper.

Sparsely gated tiny linear experts MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:17:09.337034Z

Source-reported events for the cited work

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

Observation 0904a18e-4a7d-4ce7-b044-6777a32da215 · inbound

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning cites this paper.

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 66

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:20:06.473259Z

Source-reported events for the cited work

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

Observation 043baad7-8f78-41c4-9d42-3fc643897a7a · 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 MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:34.742018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c54441b-48f6-4934-8b8d-5bd0c75011f5 · 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 MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:27.982000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c51b3d8-2b29-4f36-b934-f44aec5a8b99 · 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 MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-08T17:08:55.235539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.