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Paper Citation Record · LEDGER

The Loss Does Not See the Basis, but Adam Does

As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2608.05136.

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

pith.paper-citation-record.v1
2608.05136 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:31:56.631197Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

34 of 34 outbound references displayed

  • verified exact8
  • verified fuzzy7
  • unresolved16
  • parse uncertain0
  • malformed identifier2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6859a70-617d-4f6d-b759-b1933a90d1ad · outbound

This paper cites an unresolved cited work.

The Loss Does Not See the Basis, but Adam Does Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cfb9414a-4ac1-4836-b783-b77f59befee6 · outbound

This paper cites an unresolved cited work.

The Loss Does Not See the Basis, but Adam Does Unresolved cited work

Reference 3

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Unavailable: canonical work link unavailable.

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Observation fa958af5-6941-459e-a190-4cbf2bb4b8f7 · outbound

This paper cites E EXTENDED RELATED WORK Transformation invariance in optimizer design.The engineering literature has grappled with similar design choices at a lower level; for instance, Ling et al.

The Loss Does Not See the Basis, but Adam Does E EXTENDED RELATED WORK Transformation invariance in optimizer design.The engineering literature has grappled with similar design choices at a lower level; for instance, Ling et al

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b8ee1547-db3b-4fc7-85aa-3a8f6bbcb4e4 · outbound

This paper cites The Spectral Dynamics and Noise Geometry of Muon.

The Loss Does Not See the Basis, but Adam Does The Spectral Dynamics and Noise Geometry of Muon

Reference 5

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verified exact
local_arxiv, observed 2026-08-06T04:31:57.189006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 11c47c21-50c2-4460-904d-f1716008ae0f · outbound

This paper cites Old Optimizer, New Norm: An Anthology.

The Loss Does Not See the Basis, but Adam Does Old Optimizer, New Norm: An Anthology

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:55.667638Z digest=sha256:96adfc5565f98ca5bd855272ad1bc37ff44e8d4fcc35f5ee896fa697e7218122

Observation ac2b7a14-c483-456b-8bfa-6447441819ff · outbound

This paper cites How do simple rotations affect the implicit bias of Adam?arXiv preprint arXiv:2510.23804,.

The Loss Does Not See the Basis, but Adam Does How do simple rotations affect the implicit bias of Adam?arXiv preprint arXiv:2510.23804,

Reference 8

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no resolver link, observed 2026-08-06T04:31:55.922864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:55.922864Z digest=sha256:b66d9d3514d38f4b49338a1e110af6aad0333a83579b31d9c7e56d81187cd955

Observation 5254efe4-395a-4bc2-87dd-7c1ef5dc5dac · outbound

This paper cites To Use or not to Use Muon: How Simplicity Bias in Optimizers Matters.

The Loss Does Not See the Basis, but Adam Does To Use or not to Use Muon: How Simplicity Bias in Optimizers Matters

Reference 10

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Observation 3661442f-be6b-4209-b14c-bc0bee791efc · outbound

This paper cites Manuel Graña, Miguel A.

The Loss Does Not See the Basis, but Adam Does Manuel Graña, Miguel A

Reference 11

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Observation 43963ec1-6286-408d-8339-21e04b2ddc6a · outbound

This paper cites Distributes the corrected Indian Pines (A VIRIS) and Pavia University (ROSIS) cubes.

The Loss Does Not See the Basis, but Adam Does Distributes the corrected Indian Pines (A VIRIS) and Pavia University (ROSIS) cubes

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1a1c2bb8-51ec-470c-9d23-21e2ddb7736e · outbound

This paper cites The Implicit Bias of Adam and Muon on Smooth Homogeneous Neural Networks.

The Loss Does Not See the Basis, but Adam Does The Implicit Bias of Adam and Muon on Smooth Homogeneous Neural Networks

Reference 13

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Observation e7d7bae3-8469-42d2-abe9-be85a74a0037 · outbound

This paper cites The unreasonable effectiveness of recurrent neural networks.

The Loss Does Not See the Basis, but Adam Does The unreasonable effectiveness of recurrent neural networks

Reference 15

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d51048e5-c27e-4bed-83da-9a2d93c42275 · outbound

This paper cites Improving Generalization Performance by Switching from Adam to SGD.

The Loss Does Not See the Basis, but Adam Does Improving Generalization Performance by Switching from Adam to SGD

Reference 16

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Observation d0491bac-2379-432b-96ab-1e0af9ffce9e · outbound

This paper cites Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers.

The Loss Does Not See the Basis, but Adam Does Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers

Reference 17

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no resolver link, observed 2026-08-06T04:31:56.584738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d694a4f1-4def-43f0-b4f7-425a2e8b3410 · outbound

This paper cites Dead-Direction Conditioners: Gauge-Equivariant Preconditioning for Deep Networks.

The Loss Does Not See the Basis, but Adam Does Dead-Direction Conditioners: Gauge-Equivariant Preconditioning for Deep Networks

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation af576cce-b13a-4430-92b4-36b70af9f8d0 · outbound

This paper cites Symmetry breaking in transformers for efficient and interpretable training.arXiv preprint arXiv:2601.22257,.

The Loss Does Not See the Basis, but Adam Does Symmetry breaking in transformers for efficient and interpretable training.arXiv preprint arXiv:2601.22257,

Reference 22

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no resolver link, observed 2026-08-06T04:31:56.598164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e20993a5-f3f0-4f3e-9156-f2cd64bebe53 · outbound

This paper cites FlowAdam: Implicit Regularization via Geometry-Aware Soft Momentum Injection.

The Loss Does Not See the Basis, but Adam Does FlowAdam: Implicit Regularization via Geometry-Aware Soft Momentum Injection

Reference 23

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local_arxiv, observed 2026-08-06T04:31:56.768027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fb20c61e-15f1-4c34-92cb-2ce4e1bef9b2 · outbound

This paper cites How the Optimizer Shapes Learned Solutions in Equivariant Neural Networks.

The Loss Does Not See the Basis, but Adam Does How the Optimizer Shapes Learned Solutions in Equivariant Neural Networks

Reference 24

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verified exact
local_arxiv, observed 2026-08-06T04:31:56.756734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 57a6d262-7b3e-41e1-8d59-c203a8842aa4 · outbound

This paper cites PolarAdamW: Disentangling Spectral Control and Schur Gauge-Equivariance in Matrix Optimisation.

The Loss Does Not See the Basis, but Adam Does PolarAdamW: Disentangling Spectral Control and Schur Gauge-Equivariance in Matrix Optimisation

Reference 25

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verified exact
local_arxiv, observed 2026-08-06T04:31:56.746013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ff517448-6f35-4cae-af4e-d67445f3e20e · outbound

This paper cites aggressiveness.

The Loss Does Not See the Basis, but Adam Does aggressiveness

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:31:56.609443Z digest=sha256:e5fa0f5e733284c98ef178df5c4e4acf6279a317d1ba83c59df42dc2e82dc9fa

Observation 7ca6ddf0-5085-4152-a06b-7138b80c9951 · outbound

This paper cites • Target and measurements.

The Loss Does Not See the Basis, but Adam Does • Target and measurements

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 301653ac-434f-40df-859b-344ec8ac11b8 · outbound

This paper cites Two configurations failed to meet that threshold within the allotted steps: FlowAdam-p=0 got to 7×10 −6, and global-norm clipping at p=1 reached 6×10 −7.

The Loss Does Not See the Basis, but Adam Does Two configurations failed to meet that threshold within the allotted steps: FlowAdam-p=0 got to 7×10 −6, and global-norm clipping at p=1 reached 6×10 −7

Reference 30

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1be24d6b-de0c-408a-850d-b9d497b9ac94 · outbound

This paper cites sc- Adam.

The Loss Does Not See the Basis, but Adam Does sc- Adam

Reference 31

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9f9f4c67-e073-4a4d-8cd2-c792bfacf38d · outbound

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The Loss Does Not See the Basis, but Adam Does Unresolved cited work

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:31:56.628208Z digest=sha256:7f7582f6c203bd4122db42865a7b92206e6ea2671c6fe2e859ef4ee56ee7b072

Observation 4721214f-cb6f-4f05-ae79-c99ba2feb144 · outbound

This paper cites Recent theoretical work attributes a spectral max-margin bias to Muon (Fan et al., 2025; Gronich & Vardi, 2026), and Kang et al.

The Loss Does Not See the Basis, but Adam Does Recent theoretical work attributes a spectral max-margin bias to Muon (Fan et al., 2025; Gronich & Vardi, 2026), and Kang et al

Reference 34

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8f0cfc9b-424c-4081-9065-9bf63b76051a · outbound

This paper cites • Training.Full-batch optimization over 1500 steps, executed deterministically on CPU (torch.use_deterministic_algorithms).

The Loss Does Not See the Basis, but Adam Does • Training.Full-batch optimization over 1500 steps, executed deterministically on CPU (torch.use_deterministic_algorithms)

Reference 256

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3a1ec306-87b8-44ae-a140-967729c3e209 · outbound

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The Loss Does Not See the Basis, but Adam Does Unresolved cited work

Reference 2015

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 327df7a5-dcfe-40d3-bd74-a99e4ea25516 · outbound

This paper cites Towards Understanding the Power and Limits of the Muon Optimizer: A River-Valley Perspective.

The Loss Does Not See the Basis, but Adam Does Towards Understanding the Power and Limits of the Muon Optimizer: A River-Valley Perspective

Reference 2018

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local_arxiv, observed 2026-08-06T04:31:56.856929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cc5d430a-5bb9-4ed2-8a21-9c1797f29dc6 · outbound

This paper cites Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets.

The Loss Does Not See the Basis, but Adam Does Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Reference 2019

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no resolver link, observed 2026-08-06T04:31:56.589907Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:56.589907Z digest=sha256:4261a445b5372aa71ffade199244af7621a132e73d1bb58d12453aea3ad24419

Observation 8c7b04f7-de59-49b8-a6f8-32a6474b1c09 · outbound

This paper cites Benchmarking Neural Network Training Algorithms.

The Loss Does Not See the Basis, but Adam Does Benchmarking Neural Network Training Algorithms

Reference 2021

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no resolver link, observed 2026-08-06T04:31:55.794590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:55.794590Z digest=sha256:6b52377d06d4bb91b7f219b950e6819a9a1fae36c3eecc32df38d03af197158c

Observation 4c2e6397-e4dd-4d7a-bbe2-501b81d7c14d · outbound

This paper cites Muon is Scalable for LLM Training.

The Loss Does Not See the Basis, but Adam Does Muon is Scalable for LLM Training

Reference 2022

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no resolver link, observed 2026-08-06T04:31:56.587257Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:56.587257Z digest=sha256:5be4fb1cf79aeb8450d0be7c5e78678e478fbe358345d990caf16b773b9c2e7c

Observation c8aa1f57-728f-48fd-bf74-0addbb93c2b2 · outbound

This paper cites Understanding and inverse design of implicit bias in stochastic learning: a geometric perspective.

The Loss Does Not See the Basis, but Adam Does Understanding and inverse design of implicit bias in stochastic learning: a geometric perspective

Reference 2023

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verified exact
local_arxiv, observed 2026-08-06T04:31:57.262062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:31:54.945525Z digest=sha256:30e43a7396875fbf6221a516f446f9beb38a2e128486efe0cbc665d57fad5d02

Observation cd23d19e-54dd-4c47-abb0-cea868c0efa1 · outbound

This paper cites Uniform spectral growth and convergence of Muon in LoRA-style matrix factorization.arXiv preprint arXiv:2602.06385,.

The Loss Does Not See the Basis, but Adam Does Uniform spectral growth and convergence of Muon in LoRA-style matrix factorization.arXiv preprint arXiv:2602.06385,

Reference 2024

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no resolver link, observed 2026-08-06T04:31:56.576769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:56.576769Z digest=sha256:4d1fdac6ce528eeace5b971551c2c5dc0692a9f81cc7869c289bfceeda56acd7

Observation ca6d6615-0be5-4388-bdf7-8d50353eb3bd · outbound

This paper cites Muonp: Muon with fractional spectral powers.arXiv preprint arXiv:2606.13867,.

The Loss Does Not See the Basis, but Adam Does Muonp: Muon with fractional spectral powers.arXiv preprint arXiv:2606.13867,

Reference 2025

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verified exact
raw_fallback, observed 2026-08-06T04:31:57.106517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:31:56.065900Z digest=sha256:3c823bfa2c7ecbcd32d6ee151b90a3686874a56df64a54fb171b39cc5dbc73c5

Observation 8ab89a40-55e7-455e-a594-eebc9b5f2996 · outbound

This paper cites Marion F.

The Loss Does Not See the Basis, but Adam Does Marion F

Reference 2026

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verified exact
raw_fallback, observed 2026-08-06T04:31:57.249710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.