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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=sha256:656568558544b0bde9ef59ba669668616fae511c6790875f7cf79a673e065217

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:dd63772bf8fb222bb394b77ed90f7b6e1987f751009ad4c14759839737e5911c

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=sha256:17cf17ad662a2d85e4679fe22d60caa36a70ea0ea64655f972c7eafaceed3fe8

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:d42a9298adced947abbb9582aa7f3f8367616514ed511a7d4bf8c0e6163fc9fb

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=sha256:706467a696bc5627e108d4881ecc7ee6df337631f8cf4b8036d1f2539a42e327

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=sha256:420c4c1eb17db50cd38205a121c3eb873dad10f6dcbca96504007a665274110b