Paper Citation Record · LEDGER

The AdEMAMix Optimizer: Better, Faster, Older

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2409.03137.

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

pith.paper-citation-record.v1
2409.03137 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:28:29.021881Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:49:58.447206Z

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 ce538f7e-81c3-4510-a8d7-9a0d02364d7d · inbound

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

SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training The AdEMAMix Optimizer: Better, Faster, Older

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T13:28:29.021881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad66b0b0-1a19-42e6-8995-b94a442a9fd0 · inbound

Machine Learning Gravity Compactifications on Negatively Curved Manifolds cites this paper.

Machine Learning Gravity Compactifications on Negatively Curved Manifolds The AdEMAMix Optimizer: Better, Faster, Older

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T23:10:03.873527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 715b2e31-a319-421f-a2ef-0b6d17ceee2d · inbound

Physics of Skill Learning cites this paper.

Physics of Skill Learning The AdEMAMix Optimizer: Better, Faster, Older

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T17:20:51.011462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8ee36c0-242b-4cd2-a37d-1cb87c08764d · inbound

Optimizers for Stabilizing Likelihood-free Inference cites this paper.

Optimizers for Stabilizing Likelihood-free Inference The AdEMAMix Optimizer: Better, Faster, Older

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T23:37:30.103491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 775b8078-ed93-464f-9975-a04b96cf7c0f · inbound

Self Distillation via Iterative Constructive Perturbations cites this paper.

Self Distillation via Iterative Constructive Perturbations The AdEMAMix Optimizer: Better, Faster, Older

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:19.328930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb5891ae-b06e-403b-9648-dfb55cf572dd · inbound

Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning cites this paper.

Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning The AdEMAMix Optimizer: Better, Faster, Older

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:20.474636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c4a8d23-c44c-4622-a190-d8c2f52971b7 · inbound

EMA Without the Lag: Bias-Corrected Iterate Averaging Schemes cites this paper.

EMA Without the Lag: Bias-Corrected Iterate Averaging Schemes The AdEMAMix Optimizer: Better, Faster, Older

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T10:23:51.290978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e72a620-e750-4aeb-a48b-fd6b8d8b9f77 · inbound

Compute Efficiency and Serial Runtime Tradeoffs for Stochastic Momentum Methods cites this paper.

Compute Efficiency and Serial Runtime Tradeoffs for Stochastic Momentum Methods The AdEMAMix Optimizer: Better, Faster, Older

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:59:07.518234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7211bc80-1da4-4e6d-a810-86b2499cf602 · inbound

Training for the Model You Return: Improving Optimization for Iterate-Averaged Language Models cites this paper.

Training for the Model You Return: Improving Optimization for Iterate-Averaged Language Models The AdEMAMix Optimizer: Better, Faster, Older

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:49:58.448999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce708e20-fce8-4266-9da6-3493bc3089c5 · inbound

Training for the Model You Return: Improving Optimization for Iterate-Averaged Language Models cites this paper.

Training for the Model You Return: Improving Optimization for Iterate-Averaged Language Models The AdEMAMix Optimizer: Better, Faster, Older

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:25:41.309829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d082cccb-7185-4a1f-b115-e979fe04e62c · inbound

OPTScientist: Multi-Agent Discovery of Typed Optimizer Programs for Transformer Pretraining cites this paper.

OPTScientist: Multi-Agent Discovery of Typed Optimizer Programs for Transformer Pretraining The AdEMAMix Optimizer: Better, Faster, Older

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T12:30:37.647532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.