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Paper Citation Record · LEDGER

Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2402.19449.

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

pith.paper-citation-record.v1
2402.19449 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:02:00.026561Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:37:27.035864Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e44d38be-0401-4187-ad20-26de2a8c7329 · inbound

Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise cites this paper.

Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Reference 2014

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no resolver link, observed 2026-08-12T13:54:28.824588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:54:28.824588Z digest=sha256:db1b2cabe6768082b4feaa316e29d8370278d745f8de7a478eb302556f6e666d

Observation 483bd74d-39e7-4e6f-ab3b-bc86c1cfd077 · inbound

Revisiting the Initial Steps in Adaptive Gradient Descent Optimization cites this paper.

Revisiting the Initial Steps in Adaptive Gradient Descent Optimization Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Reference 20

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no resolver link, observed 2026-08-11T23:55:18.171126Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:55:18.171126Z digest=sha256:437dac631b96bd452adaf84af79142a5b43359437bdce8a0d51c4365bb8b5128

Observation 27594f91-5cf2-4a8b-b430-4fbd50d73a4e · inbound

SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training cites this paper.

SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Reference 38

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no resolver link, observed 2026-08-11T13:28:28.941168Z

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source=arxiv_source observed=2026-08-11T13:28:28.941168Z digest=sha256:da2664a7c171f30d22048bd262af802d7c98b6454bbefd0f8435671a4233efc5

Observation 2f3cd7b1-45a6-4f41-be3f-4401f52edc0a · inbound

Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism cites this paper.

Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Reference 40

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no resolver link, observed 2026-08-10T23:08:28.116499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:08:28.116499Z digest=sha256:44f3a32bd759770249f02683e757058592579d7c2c90de767d75ace9a926cbe5

Observation a77130f8-5e40-43e1-9d2b-4127d2037e90 · inbound

Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model cites this paper.

Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Reference 22

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no resolver link, observed 2026-08-10T18:07:32.921473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:07:32.921473Z digest=sha256:f34194e096759ce567fc53cdcf782752f77706bf02791a352ac44ec1f777690a

Observation 34a40cd0-c212-4fd7-ab57-f29d81426256 · inbound

Gradient Multi-Normalization for Stateless and Scalable LLM Training cites this paper.

Gradient Multi-Normalization for Stateless and Scalable LLM Training Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Reference 27

Resolution
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no resolver link, observed 2026-08-08T14:37:23.544235Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:37:23.544235Z digest=sha256:5364161f970b450c223677da2ab7e39c91f707bf695daea2d6e5368643d2e194

Observation 4ee2ef16-3de8-498f-9667-616dc150ad73 · inbound

Improving Adaptive Moment Optimization via Preconditioner Diagonalization cites this paper.

Improving Adaptive Moment Optimization via Preconditioner Diagonalization Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Reference 19

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no resolver link, observed 2026-08-08T12:40:42.267822Z

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source=arxiv_source observed=2026-08-08T12:40:42.267822Z digest=sha256:faf9140310cfd359c7334654512f7b079b58cc65504ff2cdf6b091c2f0df58a4

Observation b0d0ba62-37af-4f0e-bcbd-11c0dd21b4e3 · inbound

Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness cites this paper.

Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Reference 5

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no resolver link, observed 2026-08-08T04:56:54.561543Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:56:54.561543Z digest=sha256:8f5c2fd1102fcfcfee8c677902aed5a1120351549da7c8ffd6ae6ee24b9e5d19

Observation 93b8ace5-b1e8-41e7-976f-b4ee1f3a29da · inbound

Is your batch size the problem? Revisiting the Adam-SGD gap in language modeling cites this paper.

Is your batch size the problem? Revisiting the Adam-SGD gap in language modeling Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Reference 13

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no resolver link, observed 2026-08-07T00:50:30.584903Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:30.584903Z digest=sha256:0a269074d97cd10cdb4a199c967e90dd8c5c8e98dd76a0e0b6529a2e9c6b4795

Observation 695b4b05-6208-440c-9b30-0ffb1201aa38 · inbound

Simple Convergence Proof of Adam From a Sign-like Descent Perspective cites this paper.

Simple Convergence Proof of Adam From a Sign-like Descent Perspective Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Reference 29

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no resolver link, observed 2026-08-06T19:25:24.881398Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:24.881398Z digest=sha256:24a378ca4b7e8df2d3ea549551d01c2bb397c2371590d9e8f5223134c7aab227

Observation 03e8a653-b280-4c7a-9d79-158e223e8596 · inbound

SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam cites this paper.

SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Reference 31

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no resolver link, observed 2026-08-06T19:10:16.543726Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:10:16.543726Z digest=sha256:4d3638ffa0b1f0000196934513cd0d59df5080d5871e1b7f9ba568ada5020782

Observation 804db7b2-bcdb-4899-85ca-a5638c30b740 · inbound

On the Performance of Differentially Private Optimization with Heavy-Tail Class Imbalance cites this paper.

On the Performance of Differentially Private Optimization with Heavy-Tail Class Imbalance Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Reference 8

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no resolver link, observed 2026-08-06T17:35:00.523005Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:35:00.523005Z digest=sha256:ffa5f5cd0085b9064f9309096b07a1586aff0a4b9a97bac32ca87a4d1b95b2a0

Observation 9c2a846a-b032-4017-be1b-a5bf448f13cf · inbound

Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size cites this paper.

Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Reference 43

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no resolver link, observed 2026-08-16T04:02:00.026561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:02:00.026561Z digest=sha256:be2da72a39ea91e3633828957cd3f7bca90afcd8803067de3f2d28bd8ca17fa8

Observation 220bfc87-8221-47cc-b5a2-1361fcbafb40 · inbound

Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation cites this paper.

Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Reference 16

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verified exact
arxiv_id, observed 2026-05-12T07:31:35.949353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T02:32:09.080336Z digest=sha256:41a882d22da274f7e795aad4947f533d7c6431fba2c0def9c751c83df540bf50

Observation 9660cd88-0dd3-4a6a-b3ac-3a2905a11290 · inbound

Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation cites this paper.

Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Reference 31

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verified exact
arxiv_id, observed 2026-07-01T13:45:45.699212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T22:52:01.824412Z digest=sha256:5145fef9affb2a4d49aa2cc95aec84b2b27ed49bf9878222716d00c463966721

Observation a90c3278-5f69-4580-a59f-b32941ed8761 · inbound

Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation cites this paper.

Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Reference 31

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verified exact
arxiv_id, observed 2026-07-02T23:37:27.037144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-02T23:34:26.508233Z digest=sha256:556183e1e3680138cb54316f18b96b728338ec87554feaeb8cb22a8e4c236883