Pith. sign in

Paper Citation Record · LEDGER

Neural Inhibition Improves Dynamic Routing and Mixture of Experts

As of 9 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 2026-08-09T06:31:02.800959+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
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:10.614278Z digest=sha256:f27869faebd024ea0b50eb059ad9243ba2577e22062f249fbe867c94ec4cba5e

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

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:10.662488Z digest=sha256:c9451b3578fce6dc8f5d36c19e8459149ec7f639c9481f8cff3cf2e15044bb27

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:10.721582Z digest=sha256:ce51dc01ee1fade4fb455a6634046a6c5498e1b3fd6321e81f25fcdd6a0b162d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:10.778037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:10.778037Z digest=sha256:5ab02d5c926d10c84c1179b45b26fe07f0474116b3508a8e7c7d6d9505a0fc5f

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:10.828750Z digest=sha256:62efd9080d120d9e731d2fdcb0f8ad03dd313ef946d406e1152016c002ee74b6

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:10.886938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:10.886938Z digest=sha256:47032cebca3eabf5e689347ed388cee70c9328e968e3d709b4dd143ed30fe2ae

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:10.939104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:10.939104Z digest=sha256:9b6d99ade5f4676484239bba250497b3e5978b11da4f38520f8fae5d99945a9d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:10.990316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:10.990316Z digest=sha256:4f1adf9a4ecc4c82c684104b3eec43f47453f403d4d53c87ae74547cf0cddcd1

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:11.034763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:11.034763Z digest=sha256:7030b909a61da95a09a1e5c60f5d47b00c3be7e7527689f88cbac5d8cd54ad23

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:11.074201Z digest=sha256:484ad4b965a1bb1e3852175a084f2a583ffa18a0e33751ad3c70f8871ccecb6e

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:11.139268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:11.139268Z digest=sha256:eedd56ec9e880963456b48c2f5e82ffe8747aaf81eeeefd9f7605aabfb22d9d1

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

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:11.203019Z digest=sha256:253f79be1cc93ae5edbf1772060f13b5219c47587cea34d6c503231834505386

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

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:11.256128Z digest=sha256:e80f3db6e2d508c6925624aa1726b7258a0eb1ed1c49dce1ac3513effd4d030d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:11.326977Z digest=sha256:dba06e46d0e429f85a1cc80b36075a0f746e57fa7366e3687c66bedd4b539d00

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:11.395391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:11.395391Z digest=sha256:cd5eba7b485cd877583055c0f1fb2dfdef751956f449b1295102a8124246562b

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:11.439038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:11.439038Z digest=sha256:77e437e0a6e7e5bf94e010ea558dfd25484b359433731dc4751cb9e10a011587

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:11.496970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:11.496970Z digest=sha256:26532e6a41b7e44414813b74c6e4106f3b80cbc18a72bbb3f71215febfbab88b

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:11.543311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:11.543311Z digest=sha256:0b450365c1a3614386dd52cdb9afdabbc5ab611e38001880e5e07d2deb9209af

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:11.621671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:11.621671Z digest=sha256:2185fdc5f25419a6bee063ed2e04918c3ee9f49e4a9c9010fceb76195898a0f6

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:11.702424Z digest=sha256:dc5c40c1c34941200c5ad119ce6568af23e4d7c645c134dcfe656285c1be052e

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:11.757064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:11.757064Z digest=sha256:0233b59c5640dff0d99fbdb731ee35ca48305903ddc8c4cc4a1684a46df21207

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

This paper cites DropKey.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts DropKey

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:22:15.365804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:11.811526Z digest=sha256:e43cfae4284a74b68e65a2163ddcd5e54cd447b5576848e0f5a0d5f92c9bcd3a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:11.898319Z digest=sha256:816ae7787fe6676bbbc8231a969d53648dc9dd476a6998512273cf39ce39147c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:11.901301Z digest=sha256:149fa8b8ad9408a7cd17f2f468a29f9cf238cafc88f00f0dbe956625faba4853

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:11.906264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:11.906264Z digest=sha256:161a211582b61d303c825c553cda0b4b0199ff911e5e8112e6b4fc6d2e080d75

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:22:17.668235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:11.943535Z digest=sha256:cbcaa696568bc3689a56a1454704581239d5974b170bbab82ca0b22e850a2821

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

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:12.009953Z digest=sha256:78ee6e1b76c1c128859373a4e3eb822ae2f39bea7782fbf0dcea3bea4df0c7ea

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:12.116106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:12.116106Z digest=sha256:21cee133a3caae2a994a7e41bae1298978faeec649adb3dab1eee88beda14405

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:22:17.318550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:12.230132Z digest=sha256:f355e3887a8d6c8703d9c53adb3578cf419594adbf46aa5afa296a332d657919

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

This paper cites an unresolved cited work.

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

Reference 30

Resolution
verified exact
doi, observed 2026-08-06T20:22:14.537311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:12.339701Z digest=sha256:9897e85db7889d5a58db770fe07a0d06363ebceb9150ab8e4ca6c0963988505b

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:12.421126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:12.421126Z digest=sha256:7ff409f0354dfa2fa3e54f0737bb085906c4c69614fa1ab42fb7e1e1170e892f

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:12.504478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:12.504478Z digest=sha256:c95e18115ed7847d196da46498f9236833524fdf4a7478e9f290c05f6dffbf68

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:12.586895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:12.586895Z digest=sha256:cf8411b9d8be039288abe3b06ef3b21c2d412b7a88db9628dd7ef725e0102115

Observation 8cb364c5-6ed7-4d9b-a3d9-8c2611f4d7af · outbound

This paper cites Dropout: A simple way to prevent neural networks from overfitting.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:12.739583Z digest=sha256:49409434267cc87b991d6e13b934ede754bf9cd82d2b49e713a35c7fe4593609

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

This paper cites Highway Networks.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Highway Networks

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:12.821980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:12.821980Z digest=sha256:696beed503aa7a8b1ad650b6173c1f305253f262759d729ccf45ee11b8d0b93a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:12.925419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:12.925419Z digest=sha256:0898fbc261500a93649aeb416eec181ee5d494fec8d9d4ad727b3e86767eacdc

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:13.039496Z digest=sha256:ac8bf13307e7568973956f98f093e831a54a6d14076b099203782313ce3a0c90

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:13.118270Z digest=sha256:d1543445ba03855e5107e40bc2712c4c60350ab352300f4440525036d09c874d

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

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:13.194922Z digest=sha256:9a1df5976cde6496721d8acb11cce7cded31dcbce0059461014e125052aeed38

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:13.290754Z digest=sha256:0145cd989aa2dc41dd109c60ca69b6e2d43a59ab48e2118336955041d9798514

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:13.383073Z digest=sha256:01c70233874e9a3d23079a3ee635b75fb34f67d511b2909672bc2da4683a1435

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

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:13.555755Z digest=sha256:042b7a0aa193464df4821add737110224b2b13073264feecd57e3e3a79ed5502

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:13.704600Z digest=sha256:1dbe6b22c545331368edb663b859ba6461dac3ccffabc61b9d7454ae8e34cab9

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

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:22:13.879704Z digest=sha256:50ff17d2abe3bce5726d9af1df93527e473bdf0e0d86a88efa7d7291c905d174

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:14.046907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:14.046907Z digest=sha256:8b7ec09f8fe4e0fe6fd473a8fcab393d5f77423310a4df037478fdb609b86f75

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:14.218787Z digest=sha256:564fc24406867b770ef3cb96364680d56f32a976ecacecaba0a4164991c11f3f

Pith citing papers

No inbound Pith citation observations are available.