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Paper Citation Record · LEDGER

A Study on ReLU and Softmax in Transformer

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2302.06461.

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

pith.paper-citation-record.v1
2302.06461 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 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:01:32.347871Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T20:39:00.129807Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 d5e5a6e9-e6a1-4281-bb3e-37ba8a4b3f99 · inbound

Transformers and Their Roles as Time Series Foundation Models cites this paper.

Transformers and Their Roles as Time Series Foundation Models A Study on ReLU and Softmax in Transformer

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T05:01:32.347871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:01:32.347871Z digest=sha256:f86987dfd2c4651dd7f43926eb5aa8acc71b7d0c747bbe66486d58a9f5fc93e3

Observation d2efc205-379f-49b3-b908-d62fe3303977 · inbound

On Space Folds of ReLU Neural Networks cites this paper.

On Space Folds of ReLU Neural Networks A Study on ReLU and Softmax in Transformer

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T20:07:26.317513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:07:26.317513Z digest=sha256:23682c8ceab20051b33de96cbc32c417c306d837c57824c4ecc625df931bcdf6

Observation 74b47ab9-1215-4f1e-b7a9-0bc71bac0c75 · inbound

Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection cites this paper.

Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection A Study on ReLU and Softmax in Transformer

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T14:44:47.140211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:44:47.140211Z digest=sha256:f7411fa5953d5c5200cf72258185a90c70059406cbae8a06a095262a8ffa9f58

Observation 0180009e-c6fa-4221-bed8-b9445945debb · inbound

Unpacking Softmax: How Temperature Drives Representation Collapse, Compression, and Generalization cites this paper.

Unpacking Softmax: How Temperature Drives Representation Collapse, Compression, and Generalization A Study on ReLU and Softmax in Transformer

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T11:46:59.179741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:46:59.179741Z digest=sha256:edf0e98266e148bb16271c2145529be883e5ebedf7efb8892ed3c14ae3f8a63f

Observation 3f6b3f8b-f0aa-45b5-8a72-9fc88a62a38b · inbound

Gradient Flow Structure and Quantitative Dynamics of Multi-Head Self-Attention cites this paper.

Gradient Flow Structure and Quantitative Dynamics of Multi-Head Self-Attention A Study on ReLU and Softmax in Transformer

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:35:39.337899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T18:18:48.272183Z digest=sha256:b98ab0850c1674ef76259d64fa3d752416df62e84ba2ac44e80c7a72ab879d14

Observation f6b15455-ec76-4ef8-9fb3-c98cc4aa090b · inbound

Gradient Flow Structure and Quantitative Dynamics of Multi-Head Self-Attention cites this paper.

Gradient Flow Structure and Quantitative Dynamics of Multi-Head Self-Attention A Study on ReLU and Softmax in Transformer

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:56:00.630980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T00:57:06.133474Z digest=sha256:40abae5c6417e7a7964053a97989086014c8ce5c0bfa330400dc58626e43936b

Observation 39a2e880-ee9b-4487-8018-0415cef514cd · inbound

Efficient Implementation of an Adaptive Transformer Accelerator for Massive MIMO Outdoor Localization cites this paper.

Efficient Implementation of an Adaptive Transformer Accelerator for Massive MIMO Outdoor Localization A Study on ReLU and Softmax in Transformer

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:27:35.259339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T18:27:21.248464Z digest=sha256:bd111bb549c0e2d0fb53190c40d9925c54d6eb56ab3c697b03730cffb9baacad

Observation 364cd5ae-cd99-4cf2-bb9f-12bedd5d303a · inbound

Multi-Headed Transformer Architectures as Time-dependent Wasserstein Gradient Flows cites this paper.

Multi-Headed Transformer Architectures as Time-dependent Wasserstein Gradient Flows A Study on ReLU and Softmax in Transformer

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:39:00.131811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T20:38:06.823151Z digest=sha256:ce91b5c89be340888bb4c6dfe8dcd3196d59a70ed9dd4887cdb6cbe228a7e959