Paper Citation Record · LEDGER

Neural Inhibition Improves Dynamic Routing and Mixture of Experts

As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2507.03221.

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

pith.paper-citation-record.v1
2507.03221 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:22:14.218787Z

measured 46 of 46 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 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

46 of 46 outbound references displayed

verified exact6
verified fuzzy18
unresolved22
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b676056b-b9d3-41e6-81e7-c795eac18b45 · outbound

This paper cites Adaptive dropout for training deep neural networks.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Adaptive dropout for training deep neural networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:18.892782Z

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Observation 8cc8da38-aa37-451d-83ee-733ff57646d1 · outbound

This paper cites Efficient Sparse Coding with the Adaptive Locally Competitive Algorithm for Speech Classification.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Efficient Sparse Coding with the Adaptive Locally Competitive Algorithm for Speech Classification

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:22:15.570021Z

Source-reported events for the cited work

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Observation e749d3b9-844a-43e5-8a4c-c6964b44c2c2 · outbound

This paper cites Mixtures of experts for audio-visual learning.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Mixtures of experts for audio-visual learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:18.708559Z

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Observation 191d71a8-475c-41c1-b5bb-1269cba7e060 · outbound

This paper cites On the Representation Collapse of Sparse Mixture of Experts.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts On the Representation Collapse of Sparse Mixture of Experts

Reference 4

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Observation 7254a3da-0022-414e-9d42-1ee0d8e6a9c3 · outbound

This paper cites An increase of inhibition drives the developmental decorrelation of neural activity.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts An increase of inhibition drives the developmental decorrelation of neural activity

Reference 5

Resolution: verified exact; doi, observed 2026-08-06T20:22:14.812151Z

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Observation 4eb2ec4c-b90e-4084-8b7e-7bdd17671a2d · outbound

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

Neural Inhibition Improves Dynamic Routing and Mixture of Experts DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 6

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Source-reported events for the cited work

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Observation a0d5d660-8eed-4ba7-b44c-cd32d70d196d · outbound

This paper cites Language Modeling with Gated Convolutional Networks.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Language Modeling with Gated Convolutional Networks

Reference 7

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Source-reported events for the cited work

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Observation da5b4728-ec52-4c3b-ae27-20fd91617477 · outbound

This paper cites Glam: Efficient scaling of language models with mixture-of-experts.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Glam: Efficient scaling of language models with mixture-of-experts

Reference 8

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Observation 3f93377b-fb64-4707-bc7a-45e086bac94e · outbound

This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Reference 9

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Observation 25ac3c2e-e67f-43e0-b0a0-c290e5a5ece2 · outbound

This paper cites Inhibition as a driver of cortical plasticity.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Inhibition as a driver of cortical plasticity

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:18.545776Z

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Observation 807dea32-8c5d-4a00-bd5a-0c836acb5790 · outbound

This paper cites DropBlock: A regularization method for convolutional networks.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts DropBlock: A regularization method for convolutional networks

Reference 11

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Source-reported events for the cited work

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Observation bb04a5ca-fef2-41b3-b81b-4cedabea49cb · outbound

This paper cites Principles governing the operation of synaptic inhibition in dendrites.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Principles governing the operation of synaptic inhibition in dendrites

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:18.340522Z

Source-reported events for the cited work

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Observation 2d096414-bbbc-4d99-aef8-83dfc25ba174 · outbound

This paper cites Circuit mechanisms of sensory gain control.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Circuit mechanisms of sensory gain control

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:18.170853Z

Source-reported events for the cited work

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Observation 20abb2f5-6462-4505-ad20-5028f08e5a1d · outbound

This paper cites Fusemoe: Mixture-of-experts transformers for fleximodal fusion.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Fusemoe: Mixture-of-experts transformers for fleximodal fusion

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:17.975962Z

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Observation 582d5de0-0c6a-4169-aaed-b8a7a1a8100b · outbound

This paper cites Long short-term memory.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Long short-term memory

Reference 15

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Observation 90ffaa68-ca99-4107-8ec2-1436c7ade26b · outbound

This paper cites Channel Gating Neural Networks.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Channel Gating Neural Networks

Reference 16

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Source-reported events for the cited work

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Observation c7cd4934-1f65-402c-ac2d-b09807658041 · outbound

This paper cites Isaacson and Massimo Scanziani.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Isaacson and Massimo Scanziani

Reference 17

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Source-reported events for the cited work

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Observation cbb32898-31ce-4226-bf77-86fa48cba31e · outbound

This paper cites Mixtral of Experts.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Mixtral of Experts

Reference 18

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Source-reported events for the cited work

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Observation 9e29c24b-8d60-43e2-83b6-b4b85fda4ec1 · outbound

This paper cites Variational Dropout and the Local Reparameterization Trick.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Variational Dropout and the Local Reparameterization Trick

Reference 19

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Source-reported events for the cited work

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Observation 61dfe5e7-9fe5-40f9-8def-be063bdad594 · outbound

This paper cites Neuronal diversity and temporal dynamics: the unity of hippocampal circuit operations.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Neuronal diversity and temporal dynamics: the unity of hippocampal circuit operations

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:17.814445Z

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Observation e23d8f35-8fe5-48a9-b668-96d2f625164b · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 21

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Observation 41b89071-3989-4cd4-96e8-8d3ce53d5af1 · outbound

This paper cites DropKey.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts DropKey

Reference 22

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

This paper cites Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts.

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

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Observation 94bf0b79-147d-477b-a5d3-c2128683734c · outbound

This paper cites PatchDropout: Economizing Vision Transformers Using Patch Dropout.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts PatchDropout: Economizing Vision Transformers Using Patch Dropout

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:22:15.171620Z

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Observation 1ef5091b-e421-448c-958c-44f720ab8202 · outbound

This paper cites Findings of the WMT 2024 shared task of the open language data initiative.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Findings of the WMT 2024 shared task of the open language data initiative

Reference 25

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Observation 42d53782-d945-40a9-9a43-3e034ba6de77 · outbound

This paper cites Interneurons of the neocortical inhibitory system.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Interneurons of the neocortical inhibitory system

Reference 26

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Observation 49d8417c-8f7b-4445-8b37-985b31b1ca6e · outbound

This paper cites Evaluation of adaptive mixtures of competing experts.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Evaluation of adaptive mixtures of competing experts

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:17.478705Z

Source-reported events for the cited work

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Observation 4dee25b5-3294-4f5d-a227-541091cb4886 · outbound

This paper cites Rozell, D.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Rozell, D

Reference 28

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Source-reported events for the cited work

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Observation 6b34ecee-76ea-4875-9e58-af90325226cc · outbound

This paper cites Gabaergic inhibition in visual cortical plasticity.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Gabaergic inhibition in visual cortical plasticity

Reference 29

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Observation 0e6f93f7-21b3-40b5-8c83-8688f1b09973 · outbound

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Neural Inhibition Improves Dynamic Routing and Mixture of Experts Unresolved cited work

Reference 30

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Observation db131d05-b3c7-4307-8e9d-44832f239c88 · outbound

This paper cites GLU Variants Improve Transformer.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts GLU Variants Improve Transformer

Reference 31

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Observation 3345f9b4-c176-4c62-aa1f-3d6a7067bee9 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 32

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Observation 3e7cddb7-af68-445e-ab89-eae7961aaa9a · outbound

This paper cites MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models

Reference 33

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Neural Inhibition Improves Dynamic Routing and Mixture of Experts Dropout: A simple way to prevent neural networks from overfitting

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:17.178286Z

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Observation da1e5d78-6eff-408d-a4ad-02f12fd59a7a · outbound

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Neural Inhibition Improves Dynamic Routing and Mixture of Experts Highway Networks

Reference 35

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Observation be50d58a-199a-4085-ab3e-29eea99a25dc · outbound

This paper cites Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks

Reference 36

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Source-reported events for the cited work

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Observation 679ea812-1ab9-45fc-921f-23becc9b42f4 · outbound

This paper cites Emergence of a'visual number sense'in hierarchical generative models.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Emergence of a'visual number sense'in hierarchical generative models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:17.014856Z

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Observation 6d488170-5f33-432d-9f3e-de21b6286293 · outbound

This paper cites Gabaergic interneurons in the neocortex: from cellular properties to circuits.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Gabaergic interneurons in the neocortex: from cellular properties to circuits

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:16.843311Z

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Observation 3eecd2f5-dad7-483b-8a3b-848b73a2cc81 · outbound

This paper cites Interneuron circuits in the mouse neocortex are differentially engaged by whisker touch and locomotion.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Interneuron circuits in the mouse neocortex are differentially engaged by whisker touch and locomotion

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:16.674953Z

Source-reported events for the cited work

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Observation de947294-b735-4ccf-99ca-7254723e0ac1 · outbound

This paper cites Diverse and specific patterns of gabaergic interneuron connectivity in the neocortex.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Diverse and specific patterns of gabaergic interneuron connectivity in the neocortex

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:16.450922Z

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Observation 1b6de0d8-4660-47a4-9230-e6e6becf65d5 · outbound

This paper cites Regularization of neural networks using dropconnect.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Regularization of neural networks using dropconnect

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:16.174619Z

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Observation 02bc2680-b5c5-4a11-8d47-72d14e11e70b · outbound

This paper cites Division and subtraction by distinct cortical inhibitory networks in vivo.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Division and subtraction by distinct cortical inhibitory networks in vivo

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:15.986256Z

Source-reported events for the cited work

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Observation c8bfd0de-1cd8-4aac-9e21-654a8be20326 · outbound

This paper cites Sebastian Seung.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Sebastian Seung

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:15.749246Z

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Observation 922e916e-d25e-42a1-8521-9ae2ed555138 · outbound

This paper cites Revisiting Structured Dropout.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Revisiting Structured Dropout

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:22:14.952649Z

Source-reported events for the cited work

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Observation 4539bb7f-9b4e-4461-9872-ed3a9b31b915 · outbound

This paper cites Mixture-of-Experts with Expert Choice Routing.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Mixture-of-Experts with Expert Choice Routing

Reference 45

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Observation 66b2342e-98fc-4bd5-b112-6835a7477f7b · outbound

This paper cites Mixture-of-experts with expert choice routing.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Mixture-of-experts with expert choice routing

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:14.218787Z

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Pith citing papers

No inbound Pith citation observations are available.