Paper Citation Record · LEDGER

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN)

As of 17 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:1908.03935.

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

pith.paper-citation-record.v1
1908.03935 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:00:47.613372Z

measured 20 of 20 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

20 of 20 outbound references displayed

verified exact2
verified fuzzy11
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4cbef11-0beb-469c-9a29-093a4a36c31f · outbound

This paper cites GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T14:00:47.542814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cbf2410-c8e1-4cf2-97e0-3bc902d21fe3 · outbound

This paper cites High performance training of deep neural networks using pipelined hardware acceleration and distributed memory,.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) High performance training of deep neural networks using pipelined hardware acceleration and distributed memory,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:47.868806Z

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.

Observation f55b7c8e-5ed4-471e-be24-ab5f7cdcc455 · outbound

This paper cites Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T14:00:47.552547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0776425-1d62-4854-b5a3-ec26dacb854b · outbound

This paper cites Beyond Data and Model Parallelism for Deep Neural Networks.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) Beyond Data and Model Parallelism for Deep Neural Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T14:00:47.557013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 976a86fe-1da9-4a59-8cab-5f4800a0b0b2 · outbound

This paper cites The multi-lane capsule network,.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) The multi-lane capsule network,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:47.857736Z

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.

Observation eb84a331-bb31-45ef-b7a4-aa3c7416cbdc · outbound

This paper cites Xception: Deep learning with depthwise separable convolu- tions,.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) Xception: Deep learning with depthwise separable convolu- tions,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T14:00:47.565330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9ba4549-f0a7-4d2b-b924-64eb3d5d0fa2 · outbound

This paper cites Inception-v4, inception-resnet and the impact of residual connections on learning,.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) Inception-v4, inception-resnet and the impact of residual connections on learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:47.839465Z

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.

Observation fcde6916-bab4-4e59-9490-bcd4a49fa3ba · outbound

This paper cites Transforming auto- encoders,.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) Transforming auto- encoders,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:47.828732Z

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.

Observation eda89c74-3a84-4eef-8c16-1012428b5ced · outbound

This paper cites Dynamic routing between capsules,.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) Dynamic routing between capsules,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:47.818943Z

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.

Observation d3ddf990-a972-426e-a14f-421023f004a4 · outbound

This paper cites Improved Explainability of Capsule Networks: Relevance Path by Agreement.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) Improved Explainability of Capsule Networks: Relevance Path by Agreement

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T14:00:47.580274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc2a1555-35d5-462b-acfb-10f13c8c5e4a · outbound

This paper cites Capsulegan: Generative adversarial capsule network,.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) Capsulegan: Generative adversarial capsule network,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:47.808649Z

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.

Observation 365a411c-6250-474a-9b1d-9469c92d2c18 · outbound

This paper cites Compositional Coding Capsule Network with K-Means Routing for Text Classification.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) Compositional Coding Capsule Network with K-Means Routing for Text Classification

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:00:47.680475Z

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.

Observation 315fa440-04a7-436e-bd13-eb5f36f9652c · outbound

This paper cites Capsule networks against medical imaging data challenges,.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) Capsule networks against medical imaging data challenges,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:47.797486Z

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.

Observation 346d7e56-8c1f-4552-b2f2-07c3f48e92d4 · outbound

This paper cites Fast CapsNet for Lung Cancer Screening.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) Fast CapsNet for Lung Cancer Screening

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:00:47.663933Z

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.

Observation 34fb8847-61ec-4c92-8542-4198bae684a1 · outbound

This paper cites A capsule network for trafﬁc speed prediction in complex road networks,.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) A capsule network for trafﬁc speed prediction in complex road networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:47.784464Z

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.

Observation 71b4f356-de62-412c-8530-3bcf8bbbaae5 · outbound

This paper cites CapsNet comparative performance evaluation for image classification.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) CapsNet comparative performance evaluation for image classification

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T14:00:47.600716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7d63477-8d19-4598-af45-7e57e09939ec · outbound

This paper cites Ms-capsnet: A novel multi-scale capsule network,.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) Ms-capsnet: A novel multi-scale capsule network,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T14:00:47.603947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1edde92c-cdcf-4525-bef5-a3eb7836bee9 · outbound

This paper cites Path capsule networks,.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) Path capsule networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:47.765408Z

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.

Observation 32abba1a-2fbc-443a-afbd-d5440f3aa590 · outbound

This paper cites Computing science: The easiest hard problem,.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) Computing science: The easiest hard problem,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:47.753038Z

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.

Observation d054b754-f602-4baf-9aba-b5c772a87677 · outbound

This paper cites Multi-way number partitioning,.

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN) Multi-way number partitioning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:47.739829Z

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.

Pith citing papers

No inbound Pith citation observations are available.