Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-24T15:40:46.731103Z
Paper Citation Record · LEDGER
Training products of expert capsules with mixing by dynamic routing
As of 5 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:1907.11643.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
13 of 13 outbound references displayed
- verified exact1
- verified fuzzy12
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3e81bf49-c30d-4b79-8a44-be0b413cff50 · outbound
This paper cites Training products of experts by minimizing contrastive divergence.
Training products of expert capsules with mixing by dynamic routing Training products of experts by minimizing contrastive divergence
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:46:15.692989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2b83ceb2-52bc-48ea-b0bb-a835eda093cc · outbound
This paper cites Transforming auto-encoders.
Training products of expert capsules with mixing by dynamic routing Transforming auto-encoders
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:46:15.703760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d6d38555-befb-479a-8043-1a675680478a · outbound
This paper cites Dynamic routing between capsules.
Training products of expert capsules with mixing by dynamic routing Dynamic routing between capsules
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:46:15.707435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f6a756ba-2273-4139-b500-09254f129d97 · outbound
This paper cites A logical calculus of the ideas immanent in nervous activity.
Training products of expert capsules with mixing by dynamic routing A logical calculus of the ideas immanent in nervous activity
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:46:15.711015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dead73fd-bbe7-4282-988a-2de4e385f94b · outbound
This paper cites Learning internal representations by error propagation.
Training products of expert capsules with mixing by dynamic routing Learning internal representations by error propagation
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:46:15.714659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 416b3867-fd71-4ee7-bb84-7458fe57547b · outbound
This paper cites Matrix capsules with em routing.
Training products of expert capsules with mixing by dynamic routing Matrix capsules with em routing
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:46:15.717934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1e16eb88-0008-45da-9b3f-860a93bfdc83 · outbound
This paper cites Capsulegan: Generative adversarial capsule network.
Training products of expert capsules with mixing by dynamic routing Capsulegan: Generative adversarial capsule network
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:46:15.721621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 834284c1-a4b0-42b5-9d6c-ca2ca0558e97 · outbound
This paper cites Generative adversarial nets.
Training products of expert capsules with mixing by dynamic routing Generative adversarial nets
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:46:15.700227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c357006e-21be-4aeb-8d2f-80c508169b1c · outbound
This paper cites Explaining and Harnessing Adversarial Examples.
Training products of expert capsules with mixing by dynamic routing Explaining and Harnessing Adversarial Examples
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T15:44:41.359639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f6c82405-004a-4bdc-a6e2-b12c422a4ecb · outbound
This paper cites Exponential family harmoniums with an application to information retrieval.
Training products of expert capsules with mixing by dynamic routing Exponential family harmoniums with an application to information retrieval
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:46:15.685655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 78774084-934b-4841-8e15-444323a7dbec · outbound
This paper cites Visualizing and understanding convolu- tional networks.
Training products of expert capsules with mixing by dynamic routing Visualizing and understanding convolu- tional networks
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:46:15.689433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b600d6ca-b8ed-403d-97ee-a498758fe3ee · outbound
This paper cites Dropout: a simple way to prevent neural networks from overfitting.
Training products of expert capsules with mixing by dynamic routing Dropout: a simple way to prevent neural networks from overfitting
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:46:15.696459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 98e3efbd-cfe8-42bc-9f3e-8998f6199406 · outbound
This paper cites Tensorflow: A system for large-scale machine learning.
Training products of expert capsules with mixing by dynamic routing Tensorflow: A system for large-scale machine learning
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:46:15.681900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.