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Paper Citation Record · LEDGER

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2608.00574.

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

pith.paper-citation-record.v1
2608.00574 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:38:33.638923Z

measured 14 of 14 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved10
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 03e51bde-5f25-4a80-a79f-ca38890be012 · outbound

This paper cites Multiplying byNgives the CV identity used in the main paper.

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts Multiplying byNgives the CV identity used in the main paper

Reference 2

Resolution
verified exact
raw_fallback, observed 2026-08-05T00:38:33.949721Z

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.

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Observation 8899af85-4952-42c0-a0c0-8f99a5dbd38f · outbound

This paper cites Tutel: Adaptive Mixture-of-Experts at Scale.

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts Tutel: Adaptive Mixture-of-Experts at Scale

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:32.858750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ab10f90a-d3d8-4781-b7d9-01ee35db5b18 · outbound

This paper cites Mixtral of Experts.

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts Mixtral of Experts

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:32.932648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 92f2bcda-4189-491e-9ed4-d5484a378f93 · outbound

This paper cites InInternational Conference on Learning Representations.

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts InInternational Conference on Learning Representations

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:38:34.547192Z

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.

source=pdf_text observed=2026-08-05T00:38:33.026755Z digest=sha256:be809c86c95230fff6b55b14188122093869564e167eacf847e0ab5b9f9d8ea6

Observation 11203eee-9e22-4f90-8606-e29a85957a01 · outbound

This paper cites Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts.

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts

Reference 10

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ab9fb1f3-b3b5-4d10-aaf2-d2c03cca4f2f · outbound

This paper cites Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts.

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-05T00:38:34.138958Z

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.

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Observation 644ea9b7-749a-47c4-b80c-ab34ac7d3b65 · outbound

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

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 12

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unresolved
no resolver link, observed 2026-08-05T00:38:33.439937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d8894212-f9b9-487c-bbad-d57313341194 · outbound

This paper cites LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training.

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:33.524012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e515c608-a980-4977-be24-17d305f175e5 · outbound

This paper cites FastMoE: A Fast Mixture-of-Expert Training System.

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts FastMoE: A Fast Mixture-of-Expert Training System

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:32.753301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation abfb2628-53e8-4d81-a6a7-fcac483bb81d · outbound

This paper cites MegaBlocks: Efficient Sparse Training with Mixture-of-Experts.

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:32.637398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c589ab50-d8fc-4f71-9e3a-9069cfbc3d00 · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:32.455810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f681ee1c-cb04-4a65-a65c-867145c40f79 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:32.536153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a6bb9d1a-5b2b-484e-952f-d80ec9951353 · outbound

This paper cites Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models.

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:33.233904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d4f58211-a39e-4a56-9b20-ee96214a135b · outbound

This paper cites MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference.

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference

Reference 2026

Resolution
verified exact
local_arxiv, observed 2026-08-05T00:38:34.293671Z

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.

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Pith citing papers

No inbound Pith citation observations are available.