Paper Citation Record · LEDGER

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks

As of 16 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:1908.03682.

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

pith.paper-citation-record.v1
1908.03682 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:10:23.574345Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T14:23:25.631206Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-12T00:46:12.687975Z

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy19
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41d56f0c-fbe2-4944-80cb-2ec0282f112d · outbound

This paper cites Rectified linear units improve restricted boltzmann machines ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Rectified linear units improve restricted boltzmann machines ,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:24.239530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f90294b8-2bdc-4df0-aeba-a8f97111623c · outbound

This paper cites Deep sparse re ctifier neural networks ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Deep sparse re ctifier neural networks ,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:24.220691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 46c8f819-8d1b-4a96-bb8a-fe386c10d5c2 · outbound

This paper cites Deep residual learning for im age recognition ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Deep residual learning for im age recognition ,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:24.201121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4764a29f-62ee-436a-a8e9-7efa92a24275 · outbound

This paper cites Identity mappings in deep residua l networks ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Identity mappings in deep residua l networks ,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:24.182250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 18029e23-1bb2-46b3-b264-33ebc0f7799e · outbound

This paper cites Densely connected convolutional networks ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Densely connected convolutional networks ,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:24.163024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a7af45c0-d950-4d3e-8931-769a8b9fa4d6 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Gaussian Error Linear Units (GELUs)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T14:10:23.421350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3d4c3b0-011e-4e06-a0c1-1ec5bea4eab0 · outbound

This paper cites Self - normalizing neural networks ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Self - normalizing neural networks ,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:24.144948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0ee56799-5d6f-42fc-b96e-5883f966990c · outbound

This paper cites Searching for activation functions ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Searching for activation functions ,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:24.125517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 483c540b-cd55-4d90-8356-71aca304795f · outbound

This paper cites Rectifier nonlinearities improve neural network acoustic models ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Rectifier nonlinearities improve neural network acoustic models ,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:24.105148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 03a039d6-6b74-4e90-9266-c37ef77b7847 · outbound

This paper cites Delving deep into rectifiers: Surpassing human - level performance on imagenet classification ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Delving deep into rectifiers: Surpassing human - level performance on imagenet classification ,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:24.081830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 32e05fc5-e83f-4819-a74c-d4310c85e642 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T14:10:23.455942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb40e6de-6c4d-4595-978c-929ed9b3dc6b · outbound

This paper cites Understanding and improving convolutional neural ne tworks via concatenated rectified linear units ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Understanding and improving convolutional neural ne tworks via concatenated rectified linear units ,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:24.060123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 970ad0a6-1dcc-4fac-8f95-ffb63887bdaa · outbound

This paper cites Empirical Evaluation of Rectified Activations in Convolutional Network.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T14:10:23.471027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2e60764-2a06-4e80-860f-3e7030235005 · outbound

This paper cites Multivariate neural network operators with sigmoidal activation functions ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Multivariate neural network operators with sigmoidal activation functions ,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:24.038186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c46328b3-1523-4d17-819c-4a6420a20fd0 · outbound

This paper cites Imagenet classificatio n with deep convolutional neural networks ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Imagenet classificatio n with deep convolutional neural networks ,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:23.889417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3150cfdb-6b3e-489a-9f33-75c68e3d0bff · outbound

This paper cites Noisy activation functions ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Noisy activation functions ,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:23.871693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f68c10fc-a7a2-4794-b6f7-5fde63e96e3e · outbound

This paper cites an unresolved cited work.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:10:23.855848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation eaa47bbd-2181-43c3-ad2a-e61da7ba17af · outbound

This paper cites Understanding the difficulty of training deep feedforw ard neural networks ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Understanding the difficulty of training deep feedforw ard neural networks ,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:23.836027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8a9cfb3d-016b-4966-a841-24a72933e7c3 · outbound

This paper cites Improving deep neural network with multiple parametric exponenti al linear units ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Improving deep neural network with multiple parametric exponenti al linear units ,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:23.816166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b0dc2297-f5fc-4934-8b4f-cc13929442c7 · outbound

This paper cites Batch Normalization: Accelerating De ep Network Training by Reducing Internal Covariate Shift ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Batch Normalization: Accelerating De ep Network Training by Reducing Internal Covariate Shift ,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:23.795690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 01aed9b1-5bbc-4a1f-a92e-80143f7a0531 · outbound

This paper cites Gradient - based learning applied to document recognition ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Gradient - based learning applied to document recognition ,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:23.776234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dd1e7171-dfd5-4669-a98e-03cccdfb4f66 · outbound

This paper cites Learning multiple layers of fea tures from tiny images ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Learning multiple layers of fea tures from tiny images ,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:23.756305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ebe51616-0816-423e-b6e9-b409391c01fa · outbound

This paper cites T ensorflow: A system for large - scale machine learning ,.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks T ensorflow: A system for large - scale machine learning ,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:23.737466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c0540123-b0b2-4bcc-ad01-42e2df9fc641 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Adam: A Method for Stochastic Optimization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T14:10:23.574345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f8a59a20-1980-41b2-94bd-830fc242877a · inbound

Verification of Neural Networks (Lecture Notes) cites this paper.

Verification of Neural Networks (Lecture Notes) Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:46:12.690023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.