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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 2026-08-09T06:31:02.800959+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
  • metadata mismatch1

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 2026-08-09T06:31:02.800959+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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Source-reported events for the cited work

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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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:cdbc9eeab4e26b2c22996087158fe03c42dd903c70aecd7df861d6510d41608f

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=sha256:25f04ffdc1586f7685e720929a8b86d2f5c1e330d40f1bf1da733c3814008e01

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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source=pdf_text observed=2026-08-06T04:31:56.302366Z digest=sha256:61a463be65826bc870670f7ce3cb68fb87e8035a2645103fe144e0ddf3c0bb07

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 2026-08-09T06:31:02.800959+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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no resolver link, observed 2026-08-06T04:31:56.568711Z

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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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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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no resolver link, observed 2026-08-06T04:31:56.595521Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T04:31:56.595521Z digest=sha256:53b31d853d8e82988e08549d0d0e81c6e968d2bfbb6b74c02e0aa10091b3d8d7

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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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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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 2026-08-09T06:31:02.800959+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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raw_fallback, observed 2026-08-06T04:31:57.327326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:31:56.609443Z digest=sha256:109fb968213c65599345ccb3d4147064686641c7c407f33cdbb5b99cd6547987

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 2026-08-09T06:31:02.800959+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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raw_fallback, observed 2026-08-06T04:31:57.295046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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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verified exact
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

This paper cites an unresolved cited work.

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

Reference 33

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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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raw_fallback, observed 2026-08-06T04:31:57.350586Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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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verified exact
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 2026-08-09T06:31:02.800959+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=sha256:172e0e4ec34c90ccc018c66f87d00be0500f3f515a84a6cbd65ebc9908a21f0b

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=sha256:5a04ed63b81ad04ad45f67e25a53804769bec1d19b66bab7ce9da0d5405a1a7e

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=sha256:23ccedcb9c12765a945e4246841f5c36ba85f28685229366f63a9375e953f60e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:31:54.945525Z digest=sha256:60df19032443abd080076c291ecf318ba6d104888cafb30f621b3c66f86250bc

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:bc247fdbd50fae8737751ddeb6a7c06a6d7cd12774ddbb275a47675050c7e072

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:31:56.065900Z digest=sha256:71dbed616feb8336aa0bdd812099757f60cbac9a9f5f8531cc7ce6b5b0285bd5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:31:55.067063Z digest=sha256:0c91710e9488da33af32d34967f91a5a3bae63a131fcc03e26b6bcd807b11074

Pith citing papers

No inbound Pith citation observations are available.