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Paper Citation Record · LEDGER

GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.12073.

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

pith.paper-citation-record.v1
2305.12073 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:31.372910Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:37:35.190608Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • 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 6c914ab9-0614-4992-acd9-87005c1edcdf · inbound

Selective Structured State Space for Multispectral-fused Small Target Detection cites this paper.

Selective Structured State Space for Multispectral-fused Small Target Detection GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:31.372910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:31.372910Z digest=sha256:50011767b31e0dff8ac8dfd05f6a03dfa5a32bd7e06aae69d4c94525f3da1947

Observation 480aa8f4-347f-44a6-ac5f-bf0760045e24 · inbound

SpectMamba: Integrating Frequency and State Space Models for Enhanced Medical Image Detection cites this paper.

SpectMamba: Integrating Frequency and State Space Models for Enhanced Medical Image Detection GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T12:59:29.445388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:59:29.445388Z digest=sha256:bdf9d37cd358ee1ade63fe2ea37f978a70fc5393fceada499c5e2a3433340366

Observation 88bac23a-c16b-41b2-918e-61ac20117edf · inbound

Near-field Wideband Multi-User Localization using NFMR-Net cites this paper.

Near-field Wideband Multi-User Localization using NFMR-Net GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:51:30.256724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T15:00:39.605533Z digest=sha256:e7adf405d3d665fbef3cd95678ad7181a6c2ee286c88bf65f490367f785ff03e

Observation 124d719a-5ac5-488c-8597-8eac1c0594e2 · inbound

Solving forward and inverse wave scattering via boundary integral equations and deep learning. Applications to cloaking design cites this paper.

Solving forward and inverse wave scattering via boundary integral equations and deep learning. Applications to cloaking design GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:16:12.761592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T07:15:46.315943Z digest=sha256:d2e731a39f7996dc7fe2abfa16d6a863c8d088308a17b5eab061cd5dc7773f96

Observation f322220c-85df-4c56-ad29-972ea242e69a · inbound

Physics-Guided Sequence-Based Generative Framework for Acoustic Metamaterial Inverse Design cites this paper.

Physics-Guided Sequence-Based Generative Framework for Acoustic Metamaterial Inverse Design GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-03T03:37:35.192621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T15:14:53.125210Z digest=sha256:c5b720cb8b16949c06c5f9f00a236504322e7dcedf2135b95a3516d05ac221ea

Observation aa85a5ad-22b0-4ee4-9e59-76013191138f · inbound

Relative Value Learning cites this paper.

Relative Value Learning GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T08:32:00.028650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:32:00.028650Z digest=sha256:bb0e5408c4524b0e35dcd77c4504463f054a088aff3ca7d89f8eec7c86e165bb