Paper Citation Record · LEDGER

Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2405.11273.

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

pith.paper-citation-record.v1
2405.11273 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:00:08.768526Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:14:20.899067Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 214cf737-bda8-40cc-b2f3-d8c40d832ef4 · inbound

SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding cites this paper.

SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T17:00:08.768526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 112bbb3a-0b69-4c6c-b637-72877a850066 · inbound

DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification cites this paper.

DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T15:48:49.190229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c37f3e56-2fc1-474b-bb12-d2cb118584c0 · inbound

Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback cites this paper.

Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T11:09:13.207320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb110152-8f13-4916-a61a-3729b7c2f7d1 · inbound

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders cites this paper.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.519870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52d1ff56-99f7-4fa7-a40f-f31dafc1005d · inbound

3D-MoE: A Mixture-of-Experts Multi-modal LLM for 3D Vision and Pose Diffusion via Rectified Flow cites this paper.

3D-MoE: A Mixture-of-Experts Multi-modal LLM for 3D Vision and Pose Diffusion via Rectified Flow Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T11:24:21.915818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fcbf034-f657-4114-a0bc-d1c893610637 · inbound

MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs cites this paper.

MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T17:01:41.127074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ee4fd34-f493-45cf-93ec-be559e2e05e9 · inbound

MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition cites this paper.

MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-08T12:46:12.137924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f5cf16c-76f7-4b7a-a3de-20e2dbd3525f · inbound

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models cites this paper.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:33.747690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97b46199-94d2-4feb-bef5-3db23da35655 · inbound

Neural Inhibition Improves Dynamic Routing and Mixture of Experts cites this paper.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:11.898319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 800b636e-a3e2-47da-b929-62c22976b28c · inbound

M3LLM: Model Context Protocol-aided Mixture of Vision Experts For Multimodal LLMs in Networks cites this paper.

M3LLM: Model Context Protocol-aided Mixture of Vision Experts For Multimodal LLMs in Networks Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T05:28:28.885000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 618b561e-c9cf-4349-a1fe-7f7863b0b02e · inbound

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing cites this paper.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T10:59:03.637569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e0cb1a2-c9a6-470b-8d7d-547f810f1ee9 · inbound

Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning cites this paper.

Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:14:20.900411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.