Pith. sign in

Paper Citation Record · LEDGER

Switch-Based Multi-Part Neural Network

As of 19 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 2026-08-19T06:32:44.657259+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=sha256:1c1a9ebf9967fe8166f40d84be29deccaa9d1d01215a29d1f68670c56ea09dc3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:23:54.966308Z digest=sha256:d1cba9c816e4ff6f8eb16a288c0846f949b639e94a29f93a5f80686dc3db4f46

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=sha256:495dfa228e2f934a794b2ed5382c2ae767f7817f2815fd1e0408b8d23ab409e8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:23:54.974724Z digest=sha256:b67423e4b065a9206a19cbc84333a8b20b031d05aa09f8949ca5ec554e83b9eb

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=sha256:302d7cb0d677f6fc41e0bc5a1fbf1f8f19ffdbeced8cba65086212a190b79fe1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:23:54.982983Z digest=sha256:a3ddb0a109d3627db3439a951285a48cc0af7ae6476a610af077f4dba5f5b933

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:23:54.986775Z digest=sha256:3932a37143cf8eb044825132b631ab819cd41846147c42ba6fff4a8896a16b5c

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=sha256:69b0d6b8b659db6abd3098686ddfb5a580adaf5925980da52ae8165c6d3e57ff

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:23:54.994168Z digest=sha256:0b3fd6fee749440fb0e9aad4a5a8f780bef9bd015f445ef2fcb8466eb6a226d6

Pith citing papers

No inbound Pith citation observations are available.