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Paper Citation Record · LEDGER

Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.09092.

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

pith.paper-citation-record.v1
2402.09092 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:39:09.621769Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:05:47.920605Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 291d13ce-a8c7-45a3-8c66-db1ccc9a91cc · inbound

Hybrid activation functions for deep neural networks: S3 and S4 -- a novel approach to gradient flow optimization cites this paper.

Hybrid activation functions for deep neural networks: S3 and S4 -- a novel approach to gradient flow optimization Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T12:39:09.621769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:39:09.621769Z digest=sha256:05a8a5db10f2e53e4cc704f77af01f48ea91bf52403ee6abc3f444ad820e3cf0

Observation 1155af97-6cc8-4fb2-bdff-300e764a7911 · inbound

Evolving Multi-Channel Confidence-Aware Activation Functions for Missing Data with Channel Propagation cites this paper.

Evolving Multi-Channel Confidence-Aware Activation Functions for Missing Data with Channel Propagation Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:10:21.369826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T22:09:57.563195Z digest=sha256:95d512be3feb57fcea88b1903f2b21f54fd6d9339ea1bbf5cd043fc1fc906850

Observation 80446804-5e4e-4d95-a466-ae6900827be1 · inbound

Activation Functions, Statistics and Learning of Higher-Order Interactions in Restricted Boltzmann Machines cites this paper.

Activation Functions, Statistics and Learning of Higher-Order Interactions in Restricted Boltzmann Machines Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:03:06.196408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T07:01:11.142335Z digest=sha256:0820497f1b817e0a9eb29e723fa567568c63aa198e670aec9fe090212bf2e00e

Observation 1fa8fa27-2cf9-496a-9fa4-9488c2ed9ed0 · inbound

Activation Functions, Statistics and Learning of Higher-Order Interactions in Restricted Boltzmann Machines cites this paper.

Activation Functions, Statistics and Learning of Higher-Order Interactions in Restricted Boltzmann Machines Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:05:47.921900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T18:07:06.970825Z digest=sha256:4fdcf8deec1d8edb68adfda8fc15261a5587506177a4a2e821851a4f3efefff3

Observation 5004ce4c-b045-4b48-bbd4-71c1b3c0c864 · inbound

PowLU: An Activation Function for Stable Pre-Training of LLMs cites this paper.

PowLU: An Activation Function for Stable Pre-Training of LLMs Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T21:53:59.469206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T21:48:45.339523Z digest=sha256:efbf273785222e629cfb1a12af41c5751ccf50eb016445414526211ae29c1629

Observation 3cde7aeb-dcfb-438b-97e1-51cb87877f4d · inbound

A Structural Interpretation of GELU and Threshold-Transmission Activations via the First-Order Loss Function cites this paper.

A Structural Interpretation of GELU and Threshold-Transmission Activations via the First-Order Loss Function Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-12T00:50:20.754056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:50:20.754056Z digest=sha256:ae1eb4d40b5256f737f547e13e780dbf5e049ec5bba6a96e845324f25f34ad0b

Observation 428c019b-d6df-419d-a914-06c5ba369672 · inbound

A Structural Interpretation of GELU and Threshold-Transmission Activations via the First-Order Loss Function cites this paper.

A Structural Interpretation of GELU and Threshold-Transmission Activations via the First-Order Loss Function Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-14T16:31:41.890227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T16:31:41.890227Z digest=sha256:34f3dc693ce686b4ad1c0abedc1b63b6150d52761af470ffbc41988068f41f83

Observation caa23dfa-cf21-49c3-b5cb-350b5b744840 · inbound

A Structural Interpretation of GELU and Threshold-Transmission Activations via the First-Order Loss Function cites this paper.

A Structural Interpretation of GELU and Threshold-Transmission Activations via the First-Order Loss Function Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T08:53:44.547521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:53:44.547521Z digest=sha256:c6145a8d119b25d805da813b47b5448f6b298542fcc9e276d3f07a487cafd30b