Pith. sign in

Paper Citation Record · LEDGER

Switch-Based Multi-Part Neural Network

As of 18 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2504.18241.

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

pith.paper-citation-record.v1
2504.18241 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:23:54.994168Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

9 of 9 outbound references displayed

  • verified exact1
  • verified fuzzy4
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b30469a-92a9-486f-9e01-622f22d7fd88 · outbound

This paper cites Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks.

Switch-Based Multi-Part Neural Network Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T10:23:54.961291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:23:54.961291Z digest=sha256:4f61cadc4dcf31aaf47024a13e2c9a8f470fbc74e0739c61071f98b8123a39fa

Observation 40519622-9781-49c5-b2fe-ab8235fc24a7 · outbound

This paper cites A Brain-inspired Algorithm for Training Highly Sparse Neural Networks.

Switch-Based Multi-Part Neural Network A Brain-inspired Algorithm for Training Highly Sparse Neural Networks

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-16T10:23:55.072206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:23:54.966308Z digest=sha256:f8dfe515e069080d4c33f3d5f695c25c3d98f974e396f94fcf7f6712a62f43db

Observation e4ec8e21-73f3-49cf-92b7-26695e0d561c · outbound

This paper cites Modular Networks: Learning to Decompose Neural Computation.

Switch-Based Multi-Part Neural Network Modular Networks: Learning to Decompose Neural Computation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T10:23:54.970491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:23:54.970491Z digest=sha256:796f79824357906916d1ed806a6f513a818e4b724e380b4b5451d2f9e98db8ea

Observation 78266cb7-b5f8-4893-bc2e-c30419173428 · outbound

This paper cites McMahan, E.

Switch-Based Multi-Part Neural Network McMahan, E

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:55.133322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:23:54.974724Z digest=sha256:b5ed69508ce315e6129c95c6192843225cb01186c6f5ed679946d09f1eeb09e0

Observation 13915b93-30df-45a5-8ce1-2c04f1530fe8 · outbound

This paper cites Federated Learning: Challenges, Methods, and Future Directions.

Switch-Based Multi-Part Neural Network Federated Learning: Challenges, Methods, and Future Directions

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T10:23:54.978561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:23:54.978561Z digest=sha256:95d931eef0a816d98a09b115e008bab9d9a069f3f1b517202fbde08430e39e6d

Observation 11b14fb3-9d8b-4883-94f9-71c57692c7c3 · outbound

This paper cites Bengio, Reinforcement Learning for Deep Neural Architectures: Con- ditional Computation with Stochastic Computation Policies.

Switch-Based Multi-Part Neural Network Bengio, Reinforcement Learning for Deep Neural Architectures: Con- ditional Computation with Stochastic Computation Policies

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:55.121817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:23:54.982983Z digest=sha256:7ee1a3ff93ec88d99c6eccacf8fa2e7b520604fba9d2330bcb0a99dc39589979

Observation b4614273-efb1-433a-ba87-8075540916da · outbound

This paper cites Bengio, P.

Switch-Based Multi-Part Neural Network Bengio, P

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:55.107691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:23:54.986775Z digest=sha256:44a89c445d2431c6b7178eb1cb10e334c60ba90eda2a2bd1785ee90f4452cc15

Observation ac9bf995-d1c1-4a57-ae22-8904c4bc0f9b · outbound

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

Switch-Based Multi-Part Neural Network Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T10:23:54.990354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:23:54.990354Z digest=sha256:014739c23f0f4772e113a6a87a22a9c140acc7323aa0e159f92aee201edfb082

Observation 56cd761c-bf2d-4cfd-b6b1-03dfca09c8fb · outbound

This paper cites Gross, M.

Switch-Based Multi-Part Neural Network Gross, M

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:55.095739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:23:54.994168Z digest=sha256:e2a2b04d8643554a3a8674a680a104936e6067c88395eb32862f93668e7c738e

Pith citing papers

No inbound Pith citation observations are available.