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Paper Citation Record · LEDGER

AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization

As of 22 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2608.01997.

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

pith.paper-citation-record.v1
2608.01997 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:06:30.907678Z

measured 14 of 14 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 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

14 of 14 outbound references displayed

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  • verified fuzzy0
  • unresolved14
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b604f220-c841-4b74-87fe-31e149694b7b · outbound

This paper cites Symbolic discovery of optimization algorithms,.

AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization Symbolic discovery of optimization algorithms,

Reference 1

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no resolver link, observed 2026-08-04T17:06:30.880159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:06:30.880159Z digest=sha256:54b06c9ec045d25217d4e35ef8bb6496e729840afb44876b8710d7d8b4e3b0b4

Observation 1b45874c-c83a-46af-926e-4efbff2778d9 · outbound

This paper cites Sharpness-aware minimization for efficiently improving generalization,.

AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization Sharpness-aware minimization for efficiently improving generalization,

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:06:30.883038Z digest=sha256:bf0f75f62df8f68c9a44ebdc634407097f59a772e1be2314899bd572772c60be

Observation cfcc3cbe-d1db-4d62-b856-d46f7cec3ecc · outbound

This paper cites Shampoo: Preconditioned Stochastic Tensor Optimization.

AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization Shampoo: Preconditioned Stochastic Tensor Optimization

Reference 3

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no resolver link, observed 2026-08-04T17:06:30.885131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:06:30.885131Z digest=sha256:0ba35085dfd60360ed2cb930a7b42e124b7b7fcc0b98dc8e175969d8f5115636

Observation 93557d38-480e-4377-9f4a-147083dce4d2 · outbound

This paper cites Deep pyramidal residual networks,.

AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization Deep pyramidal residual networks,

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:06:30.887748Z digest=sha256:6573085034ee5746822db9d214a24b1e1a01c558504752a7b51aa1d4b7e28969

Observation 8647a5d8-2b22-4818-89f4-7254ced5fa6c · outbound

This paper cites Deep residual learning for image recognition,.

AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization Deep residual learning for image recognition,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:06:30.889690Z digest=sha256:bc388c1b505c82d86d0c4d0cd2e5d80bdeda136cf26044c715c34845dc881cf7

Observation 45fe9ff7-ceff-471c-8739-0c0672b76f17 · outbound

This paper cites Squeeze-and-excitation networks,.

AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization Squeeze-and-excitation networks,

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:06:30.891902Z digest=sha256:bfed2ee74be20ebebe4c9d78cd2cd0d73d9803d3992ab41e724eae03098b51de

Observation 095ae28b-c1c4-4362-87f0-7e7c431a7888 · outbound

This paper cites Densely connected convolutional networks,.

AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization Densely connected convolutional networks,

Reference 7

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no resolver link, observed 2026-08-04T17:06:30.894041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:06:30.894041Z digest=sha256:c5c466f24278d3ac32f3f6e5f84532ee9e231421fb9721f9d94ec3647d01847a

Observation f330bf6d-4739-4d69-a312-8fde52d40b7f · outbound

This paper cites A stochastic estimator of the trace of the influence matrix for Laplacian smoothing splines,.

AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization A stochastic estimator of the trace of the influence matrix for Laplacian smoothing splines,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:06:30.895846Z digest=sha256:057ac0bc76c859d3d48dfcf31b611d6df216fbdc02ddbed8958d5f6fe7e6d136

Observation 7eb49571-a360-48db-bd2d-0bf2df6fd825 · outbound

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

AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization Improving Generalization Performance by Switching from Adam to SGD

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:06:30.897575Z digest=sha256:4a0ee690893118fbe1a2aa03fa296108e3a9c07070cf3cf08599597315fbdd8c

Observation 8668609b-4225-4213-a62e-4d02c0d3f09f · outbound

This paper cites Adam: A method for stochastic optimization,.

AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization Adam: A method for stochastic optimization,

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:06:30.899602Z digest=sha256:2932ae49ac82ef2195ca51c98849dba542eb3355c70258c61fc68815d38346aa

Observation 080eff5e-78b1-4fde-9b7a-e15e001fb755 · outbound

This paper cites Decoupled weight decay regularization (AdamW),.

AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization Decoupled weight decay regularization (AdamW),

Reference 11

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source=pdf_text observed=2026-08-04T17:06:30.901357Z digest=sha256:e9cb5638f2f33d33a74fefcade626af7daff1b91ecbd2975546cf3d852c6f374

Observation a808e2dc-a827-4ce9-86e3-263e8d0df796 · outbound

This paper cites An Empirical Model of Large-Batch Training.

AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization An Empirical Model of Large-Batch Training

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:06:30.903248Z digest=sha256:8fa00a946331c1b31f41e03fdf61ea5a9a94b6209a734c9c79d2b4b5f77d54cc

Observation 3a4e0ecb-ee89-4cae-a2f7-cabbbc1c3d8f · outbound

This paper cites SOAP: Improving and Stabilizing Shampoo using Adam.

AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization SOAP: Improving and Stabilizing Shampoo using Adam

Reference 13

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no resolver link, observed 2026-08-04T17:06:30.905493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:06:30.905493Z digest=sha256:3d9438d83dddf6d76c26f6c14be10f3de246201944f3faf84b1962fab3d5b962

Observation 3b655320-71db-47c4-8d02-0597fde4cf74 · outbound

This paper cites Lookahead optimizer: ksteps forward, 1 step back,.

AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization Lookahead optimizer: ksteps forward, 1 step back,

Reference 14

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unresolved
no resolver link, observed 2026-08-04T17:06:30.907678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:06:30.907678Z digest=sha256:55bd3c0265ffebfd1e459974c7471a49473979b7902138b901a50039ea068015

Pith citing papers

No inbound Pith citation observations are available.