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Paper Citation Record · LEDGER

A Theory on Adam Instability in Large-Scale Machine Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2304.09871.

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

pith.paper-citation-record.v1
2304.09871 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:20:55.154469Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:58:46.561911Z

Reference resolution

0 of 0 outbound references displayed

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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 7a33ac89-6c24-41ec-966f-92f9ae595e57 · inbound

Open-Sora: Democratizing Efficient Video Production for All cites this paper.

Open-Sora: Democratizing Efficient Video Production for All A Theory on Adam Instability in Large-Scale Machine Learning

Reference 21

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metadata mismatch
arxiv_id, observed 2026-05-11T12:01:51.910253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T12:01:51.366667Z digest=sha256:37d7e018b1670dc00aba059b664bb867253e642c0de4f80513babd32f80175a9

Observation 727a2f04-a0a2-4150-817c-55135e9601ad · inbound

GWT: Scalable Optimizer State Compression for Large Language Model Training cites this paper.

GWT: Scalable Optimizer State Compression for Large Language Model Training A Theory on Adam Instability in Large-Scale Machine Learning

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:57:36.571046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T05:57:09.276224Z digest=sha256:e9b2bfa879196d560381d6dbbd386b994eed3da6b2faf97af5141198ea2b1f83

Observation 5e355aed-54ed-489a-b66e-e6d8bbc94de5 · inbound

Emerging Properties in Unified Multimodal Pretraining cites this paper.

Emerging Properties in Unified Multimodal Pretraining A Theory on Adam Instability in Large-Scale Machine Learning

Reference 52

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metadata mismatch
arxiv_id, observed 2026-05-10T16:23:42.174655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:23:41.854132Z digest=sha256:8c28083b9d39c21fbd61723bb0669c78d840e32541b1973cce4800c9c76ac6a7

Observation 65ff9138-aa07-45f5-819a-2f8d2b8f82d2 · inbound

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention cites this paper.

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention A Theory on Adam Instability in Large-Scale Machine Learning

Reference 23

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metadata mismatch
arxiv_id, observed 2026-05-12T09:28:16.436746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T09:28:16.189617Z digest=sha256:bd8b9b2407ecf176c5143cdb0224c8e60c6030dd836233f0c8a16779393e76e4

Observation 4498765b-e928-47da-a0e9-0a7f9298dfba · inbound

BlueLM-2.5-3B Technical Report cites this paper.

BlueLM-2.5-3B Technical Report A Theory on Adam Instability in Large-Scale Machine Learning

Reference 35

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unresolved
no resolver link, observed 2026-08-06T19:20:55.154469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:20:55.154469Z digest=sha256:9e2aa9c311f7637cc235451d083a1807264c7ad058a537c9c21d3af4912fefa4

Observation 1cce8f6d-0731-434a-8d6e-ad40ad447574 · inbound

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cites this paper.

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities A Theory on Adam Instability in Large-Scale Machine Learning

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:52:07.741814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-19T05:48:02.828938Z digest=sha256:75b59799e62e5fd27cb95f84d5447528ead27cd79df972550ce2c2ef726c466a

Observation 6c436ba2-b562-42f2-af4e-208e2df607d3 · 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 A Theory on Adam Instability in Large-Scale Machine Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T19:10:16.570768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:10:16.570768Z digest=sha256:3e37fc4a6df1358edf5a46b461cdbf1f6df39820e8bd1f574add4a062829f0e8

Observation 89f76f7b-7d55-4d47-bbd3-2d7e6cf46b53 · inbound

Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention cites this paper.

Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention A Theory on Adam Instability in Large-Scale Machine Learning

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T10:02:31.691756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T10:01:56.131253Z digest=sha256:5ac48236469f0f378f3c27941b18cc309662fb671c17e84b81db5659ecd471f4

Observation 69d936c1-0a4b-4c8d-a1ed-c26e1e006dbd · inbound

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models cites this paper.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models A Theory on Adam Instability in Large-Scale Machine Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T09:54:26.229865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:54:26.229865Z digest=sha256:e1dbb9bda411307b306ebb8a3d67f7fcce8ce60e2e24dcecd4c87981adad1361

Observation 0010ad04-dffd-4a2e-9e32-734603c76f76 · inbound

Grokking or Glitching? How Low-Precision Drives Slingshot Loss Spikes cites this paper.

Grokking or Glitching? How Low-Precision Drives Slingshot Loss Spikes A Theory on Adam Instability in Large-Scale Machine Learning

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:51:07.706844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T13:40:34.426011Z digest=sha256:4e470db4a84d97558837185ecc0d71057ab810bd415a1759759c160c001e6689

Observation e7a1767b-089d-41a6-a40e-94209f7887dd · inbound

Grokking or Glitching? How Low-Precision Drives Slingshot Loss Spikes cites this paper.

Grokking or Glitching? How Low-Precision Drives Slingshot Loss Spikes A Theory on Adam Instability in Large-Scale Machine Learning

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T07:12:27.956242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T07:11:04.242477Z digest=sha256:2987139d773820a2821a81b54ae46a4775903a630fcdfd445bbcbc45caef588d

Observation a0839373-1ea1-4b56-a250-ec18a8ab4ae6 · inbound

Grokking or Glitching? How Low-Precision Drives Slingshot Loss Spikes cites this paper.

Grokking or Glitching? How Low-Precision Drives Slingshot Loss Spikes A Theory on Adam Instability in Large-Scale Machine Learning

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T23:35:07.177922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T23:33:31.271082Z digest=sha256:daabf1122cc8c5c0b94ae9001f09677b2367e86aade4ea15ab333a413f8916ea

Observation f05c12b8-8e3f-4fd5-9ca6-6aad744bc447 · inbound

Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers cites this paper.

Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers A Theory on Adam Instability in Large-Scale Machine Learning

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:41:45.364071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T04:01:32.057022Z digest=sha256:d970e6a69ae2a0e98aad2dcab3d3c6f8e19f0a95a3f3556dc7c4fe2756c32037

Observation c2fef1fe-201a-4872-9993-551dc61a4c9c · inbound

PowLU: An Activation Function for Stable Pre-Training of LLMs cites this paper.

PowLU: An Activation Function for Stable Pre-Training of LLMs A Theory on Adam Instability in Large-Scale Machine Learning

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T21:53:59.472017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T21:48:45.339523Z digest=sha256:ce1db0481ee3a2821042374dde64b43620269bf64a7ebb20d9cb6d9b75caa7e5

Observation 1f6851aa-1254-4e80-86e8-65ba957d359c · inbound

SCAPE: Accurate and Efficient LLM Training with Extreme Sparse Communication cites this paper.

SCAPE: Accurate and Efficient LLM Training with Extreme Sparse Communication A Theory on Adam Instability in Large-Scale Machine Learning

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:58:46.564385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-03T17:56:52.510949Z digest=sha256:88ed668b34dec9d12ee96b776c8bd580e9f1611902e0f0a194a5908e1d53d193

Observation 2279d5e6-0658-4bb4-80f7-9d0c7e81dbb5 · inbound

Weight-norm Criticality: A Mechanism for Loss Spikes Induced by the Normalization and Weight Decay cites this paper.

Weight-norm Criticality: A Mechanism for Loss Spikes Induced by the Normalization and Weight Decay A Theory on Adam Instability in Large-Scale Machine Learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-01T08:50:45.390519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:50:45.390519Z digest=sha256:0b73ac6d24b7cde47dec4cd491897be25e92d57d8fbc08a218dcfff0de61b0f3

Observation a88a8d50-ca31-4335-b80d-d67f365b3321 · inbound

One QK Channel, Many Sources: Guarding Low-Precision Attention Collapse cites this paper.

One QK Channel, Many Sources: Guarding Low-Precision Attention Collapse A Theory on Adam Instability in Large-Scale Machine Learning

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T15:20:16.153293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:20:16.153293Z digest=sha256:4cee8f0d7731c54790f89194209c1abd30d51ce4de8602db53742bb485c6c9d7