Paper Citation Record · LEDGER

Tangma: A Tanh-Guided Activation Function with Learnable Parameters

As of 7 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2507.10560.

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

pith.paper-citation-record.v1
2507.10560 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:42:01.745893Z

measured 16 of 16 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact1
verified fuzzy5
unresolved9
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8985498c-fe69-4f7b-b3b5-b19db3054769 · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU).

Tangma: A Tanh-Guided Activation Function with Learnable Parameters Deep Learning using Rectified Linear Units (ReLU)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:00.196344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9023ea1-36e2-4c85-90e4-466255427ac5 · outbound

This paper cites an unresolved cited work.

Tangma: A Tanh-Guided Activation Function with Learnable Parameters Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:42:03.607734Z

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.

Observation ffa2e8cc-8fc0-4444-be41-45601201b3ec · outbound

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

Tangma: A Tanh-Guided Activation Function with Learnable Parameters Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:00.546467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b6007f5-408a-4d6a-bf52-c47286ef8f0c · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Tangma: A Tanh-Guided Activation Function with Learnable Parameters Gaussian Error Linear Units (GELUs)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:00.660726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f873bc17-87c9-49bd-a340-836aeb840d12 · outbound

This paper cites Searching for Activation Functions.

Tangma: A Tanh-Guided Activation Function with Learnable Parameters Searching for Activation Functions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:00.757549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92a0b6f4-1173-43c9-983d-dc22d1287711 · outbound

This paper cites Learn-able parameter guided Activation Functions.

Tangma: A Tanh-Guided Activation Function with Learnable Parameters Learn-able parameter guided Activation Functions

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:42:01.915527Z

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.

Observation 59d846d2-476e-42b3-8f6a-20effc699cef · outbound

This paper cites Learning Activation Functions: A new paradigm for understanding Neural Networks.

Tangma: A Tanh-Guided Activation Function with Learnable Parameters Learning Activation Functions: A new paradigm for understanding Neural Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:00.993958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f11c8db-8397-4935-80fa-c20a6690caac · outbound

This paper cites Mish: A Self Regularized Non-Monotonic Activation Function.

Tangma: A Tanh-Guided Activation Function with Learnable Parameters Mish: A Self Regularized Non-Monotonic Activation Function

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:01.089597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 140ada35-b250-471e-a288-3dc773a673ba · outbound

This paper cites Gradient-Based Learning Applied to Document Recognition.

Tangma: A Tanh-Guided Activation Function with Learnable Parameters Gradient-Based Learning Applied to Document Recognition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:42:03.346101Z

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.

Observation 3eb74dd6-d179-4882-aaa6-394afb04f2d4 · outbound

This paper cites Learning Multiple Layers of Features from Tiny Images.

Tangma: A Tanh-Guided Activation Function with Learnable Parameters Learning Multiple Layers of Features from Tiny Images

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:42:03.023656Z

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.

Observation 5b664e3d-bdcc-4f40-a9a8-80b50226e220 · outbound

This paper cites an unresolved cited work.

Tangma: A Tanh-Guided Activation Function with Learnable Parameters Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:42:02.689008Z

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.

Observation c79c4f31-db41-40bf-bf6d-71f41c77486c · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Tangma: A Tanh-Guided Activation Function with Learnable Parameters Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:01.448973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd8961c0-8ddb-4716-8a8c-8723798475b3 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Tangma: A Tanh-Guided Activation Function with Learnable Parameters Deep Residual Learning for Image Recognition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:42:02.553799Z

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.

Observation deda8752-09b0-4d9f-a19d-4778873b355d · outbound

This paper cites Weinberger.

Tangma: A Tanh-Guided Activation Function with Learnable Parameters Weinberger

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:42:02.421887Z

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.

Observation 1be2c77b-4cfd-4cf6-848b-39926fbea3c5 · outbound

This paper cites Understanding the log-sum-exp trick.

Tangma: A Tanh-Guided Activation Function with Learnable Parameters Understanding the log-sum-exp trick

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:42:02.255500Z

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.

Observation 444f1ec3-1764-48b1-8416-20572c3428d3 · outbound

This paper cites TL: Train Loss, VL: Val Loss, V A: Val Accuracy, T: Time.

Tangma: A Tanh-Guided Activation Function with Learnable Parameters TL: Train Loss, VL: Val Loss, V A: Val Accuracy, T: Time

Reference 2020

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T20:42:02.097006Z

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.

Pith citing papers

No inbound Pith citation observations are available.