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Paper Citation Record · LEDGER

Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2410.05192.

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

pith.paper-citation-record.v1
2410.05192 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:39:01.733820Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bc431704-a053-41e8-993a-0db5dd316058 · inbound

Why Do We Need Warm-up? A Theoretical Perspective cites this paper.

Why Do We Need Warm-up? A Theoretical Perspective Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 66

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Source-reported events for the cited work

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Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 37

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arxiv_id, observed 2026-05-15T07:43:11.863947Z

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Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 37

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Universal One-third Time Scaling in Learning Peaked Distributions cites this paper.

Universal One-third Time Scaling in Learning Peaked Distributions Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 22

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Observation 2f493f42-1605-4fd8-9cc5-9a7417b627c6 · inbound

Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model cites this paper.

Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 21

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OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens cites this paper.

OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 111

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arxiv_id, observed 2026-05-11T12:51:04.770940Z

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Observation 683f7852-1c1c-4119-a4ce-c4a97b12c1cb · inbound

Sharpness-Aware Pretraining Mitigates Catastrophic Forgetting cites this paper.

Sharpness-Aware Pretraining Mitigates Catastrophic Forgetting Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 77

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Observation abfa34ad-b64a-409c-aa1e-1aba36e74d86 · inbound

Layer Collapse in Diffusion Language Models cites this paper.

Layer Collapse in Diffusion Language Models Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 19

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Layer Collapse in Diffusion Language Models cites this paper.

Layer Collapse in Diffusion Language Models Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 19

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Efficient Pre-Training with Token Superposition cites this paper.

Efficient Pre-Training with Token Superposition Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 57

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Observation 3ffed03c-4ffc-4387-a304-fb430ad2e4a6 · inbound

Efficient Pre-Training with Token Superposition cites this paper.

Efficient Pre-Training with Token Superposition Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 59

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Beyond Perplexity: A Geometric and Spectral Study of Low-Rank Pre-Training cites this paper.

Beyond Perplexity: A Geometric and Spectral Study of Low-Rank Pre-Training Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 25

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Beyond Perplexity: A Geometric and Spectral Study of Low-Rank Pre-Training cites this paper.

Beyond Perplexity: A Geometric and Spectral Study of Low-Rank Pre-Training Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 25

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NITP: Next Implicit Token Prediction for LLM Pre-training cites this paper.

NITP: Next Implicit Token Prediction for LLM Pre-training Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 53

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Observation 4fb95c48-2318-4f41-8e05-e6852da4db63 · inbound

NITP: Next Implicit Token Prediction for LLM Pre-training cites this paper.

NITP: Next Implicit Token Prediction for LLM Pre-training Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 53

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arxiv_id, observed 2026-07-04T00:39:16.247898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation a1f1d358-8aa6-49fa-8bdb-b54f577e9629 · inbound

NITP: Next Implicit Token Prediction for LLM Pre-training cites this paper.

NITP: Next Implicit Token Prediction for LLM Pre-training Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 32

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Physical Object Understanding with a Physically Controllable World Model cites this paper.

Physical Object Understanding with a Physically Controllable World Model Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 43

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Source-reported events for the cited work

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A Geometric Characterization of the Stationary Plateau for Two-Layer Neural Networks cites this paper.

A Geometric Characterization of the Stationary Plateau for Two-Layer Neural Networks Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 33

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Predictable Scaling Laws of Optimal Hyperparameters for LLM Continued Pre-training cites this paper.

Predictable Scaling Laws of Optimal Hyperparameters for LLM Continued Pre-training Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 21

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On the Residual Scaling of Looped Transformers: Stability and Transferability cites this paper.

On the Residual Scaling of Looped Transformers: Stability and Transferability Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 28

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On the Residual Scaling of Looped Transformers: Stability and Transferability cites this paper.

On the Residual Scaling of Looped Transformers: Stability and Transferability Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 29

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

Towards Understanding the Power and Limits of the Muon Optimizer: A River-Valley Perspective Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 16

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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 Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 37

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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 Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 37

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Source-reported events for the cited work

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WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training cites this paper.

WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 18

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AGNFormer I: Reconstruction of AGN spectra using a probabilistic transformer model cites this paper.

AGNFormer I: Reconstruction of AGN spectra using a probabilistic transformer model Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 101

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AGNFormer I: Reconstruction of AGN spectra using a probabilistic transformer model cites this paper.

AGNFormer I: Reconstruction of AGN spectra using a probabilistic transformer model Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 153

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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 Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 49

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