Paper Citation Record · LEDGER

L2 Regularization versus Batch and Weight Normalization

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:1706.05350.

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

pith.paper-citation-record.v1
1706.05350 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:30:38.065681Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T20:30:07.604801Z

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 7a585054-2109-458c-a18c-f2af724084e3 · inbound

Progressive Growing of GANs for Improved Quality, Stability, and Variation cites this paper.

Progressive Growing of GANs for Improved Quality, Stability, and Variation L2 Regularization versus Batch and Weight Normalization

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-12T12:24:03.451597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2fa8503a-3b0f-4b90-8015-d1ef96003f8c · inbound

Partition of Unity Physics-Informed Neural Networks (POU-PINNs): An Unsupervised Framework for Physics-Informed Domain Decomposition and Mixtures of Experts cites this paper.

Partition of Unity Physics-Informed Neural Networks (POU-PINNs): An Unsupervised Framework for Physics-Informed Domain Decomposition and Mixtures of Experts L2 Regularization versus Batch and Weight Normalization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T20:30:38.065681Z

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Observation 5f7fe79f-e44b-4e13-97d4-099f583cedd2 · inbound

Investigating Large Language Models for Code Vulnerability Detection: An Experimental Study cites this paper.

Investigating Large Language Models for Code Vulnerability Detection: An Experimental Study L2 Regularization versus Batch and Weight Normalization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T04:55:44.940599Z

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Observation 7d11f847-52eb-4a65-8ff9-b9b72075da55 · inbound

GCSAM: Gradient Centralized Sharpness Aware Minimization cites this paper.

GCSAM: Gradient Centralized Sharpness Aware Minimization L2 Regularization versus Batch and Weight Normalization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:11.484976Z

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Observation caed7d6c-b0b2-48a8-8a35-6c0e6eaba9a9 · inbound

Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization cites this paper.

Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization L2 Regularization versus Batch and Weight Normalization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T12:32:20.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26c91935-1d70-4151-b8f3-0b46687b5b16 · inbound

Optimistic critics can empower small actors cites this paper.

Optimistic critics can empower small actors L2 Regularization versus Batch and Weight Normalization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:37.396739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c43b120-6677-4a8d-b09a-739151b93b4c · inbound

Why Gradients Rapidly Increase Near the End of Training cites this paper.

Why Gradients Rapidly Increase Near the End of Training L2 Regularization versus Batch and Weight Normalization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:04.103673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a60604b-da80-4266-9e95-f4c09912b31d · inbound

Scaling CrossQ with Weight Normalization cites this paper.

Scaling CrossQ with Weight Normalization L2 Regularization versus Batch and Weight Normalization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:59:52.519682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9bcc40b-f6c0-4bc1-8b42-283ffffc40c2 · inbound

Recovering Plasticity of Neural Networks via Soft Weight Rescaling cites this paper.

Recovering Plasticity of Neural Networks via Soft Weight Rescaling L2 Regularization versus Batch and Weight Normalization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:24.140051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27ce9aa4-7679-408c-a58c-ffa08a02f1c8 · inbound

How does the optimizer implicitly bias the model merging loss landscape? cites this paper.

How does the optimizer implicitly bias the model merging loss landscape? L2 Regularization versus Batch and Weight Normalization

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-18T09:51:13.434929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee32b837-f833-465f-942a-c51f0a736f2a · inbound

Can Stationary Distributions of Scale-Invariant Neural Networks Be Described by the Thermodynamics of an Ideal Gas? cites this paper.

Can Stationary Distributions of Scale-Invariant Neural Networks Be Described by the Thermodynamics of an Ideal Gas? L2 Regularization versus Batch and Weight Normalization

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:32:13.115662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 87d17f04-756a-46d8-90bc-ac4ba13adf06 · inbound

Can Stationary Distributions of Scale-Invariant Neural Networks Be Described by the Thermodynamics of an Ideal Gas? cites this paper.

Can Stationary Distributions of Scale-Invariant Neural Networks Be Described by the Thermodynamics of an Ideal Gas? L2 Regularization versus Batch and Weight Normalization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T23:11:23.431555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d08e855d-b896-4922-8c91-7ab2c1828371 · inbound

Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins cites this paper.

Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins L2 Regularization versus Batch and Weight Normalization

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:08:36.110434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 02513f40-df82-426d-91b4-090120128424 · inbound

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control cites this paper.

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control L2 Regularization versus Batch and Weight Normalization

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:15:49.748208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 71b456e0-81ca-4f1f-81da-1b9948b66095 · inbound

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control cites this paper.

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control L2 Regularization versus Batch and Weight Normalization

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-05-19T17:12:41.333270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3b19d22-fe57-4575-98a6-09ad5fcf953d · inbound

Adaptive Norm-Based Regularization for Neural Networks cites this paper.

Adaptive Norm-Based Regularization for Neural Networks L2 Regularization versus Batch and Weight Normalization

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:16:08.528046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dec1ef61-f772-48cb-bf0d-2377857ca165 · inbound

Demystifying Manifold Constraints in LLM Pre-training cites this paper.

Demystifying Manifold Constraints in LLM Pre-training L2 Regularization versus Batch and Weight Normalization

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:16:08.747351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8c7fd5da-bed8-445a-9099-2236dfe6b64b · inbound

XQCfD: Accelerating Fast Actor-Critic Algorithms with Prior Data and Prior Policies cites this paper.

XQCfD: Accelerating Fast Actor-Critic Algorithms with Prior Data and Prior Policies L2 Regularization versus Batch and Weight Normalization

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:46:30.582762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c7995a45-334c-4ac4-acbe-5340ca7df28d · inbound

Does Weight Decay Enhance Training Stability? cites this paper.

Does Weight Decay Enhance Training Stability? L2 Regularization versus Batch and Weight Normalization

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-20T19:53:42.917608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f46ce5b8-436a-48c6-87d8-5c8dfaa162c9 · inbound

ScheduleFree+: Scaling Learning-Rate-Free & Schedule-Free Learning to Large Language Models cites this paper.

ScheduleFree+: Scaling Learning-Rate-Free & Schedule-Free Learning to Large Language Models L2 Regularization versus Batch and Weight Normalization

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:23:16.778398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e2df2b38-aae1-4530-962d-b1c83bf6e800 · inbound

Anytime Training with Schedule-Free Spectral Optimization cites this paper.

Anytime Training with Schedule-Free Spectral Optimization L2 Regularization versus Batch and Weight Normalization

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-05-25T05:40:24.369953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9483aa39-d6f4-4b96-be52-8b3dac4aaaf7 · inbound

Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability cites this paper.

Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability L2 Regularization versus Batch and Weight Normalization

Reference 75

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T06:16:43.886355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 33e39d97-a77e-4dbb-a2c1-e612861f3c7d · inbound

Preserving Plasticity in Continual Learning via Dynamical Isometry cites this paper.

Preserving Plasticity in Continual Learning via Dynamical Isometry L2 Regularization versus Batch and Weight Normalization

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-03T00:07:28.498369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d5e9f3e-be8a-4ed4-8584-e3fa79351c9e · inbound

Weibull Weight-Scale Parameter Evolution under AdamW Training Dynamics cites this paper.

Weibull Weight-Scale Parameter Evolution under AdamW Training Dynamics L2 Regularization versus Batch and Weight Normalization

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T13:48:20.868063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 404bda4e-ab3e-485c-b0ac-da7ea12497b4 · inbound

Muown Implicitly Performs Angular Step-size Decay cites this paper.

Muown Implicitly Performs Angular Step-size Decay L2 Regularization versus Batch and Weight Normalization

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T10:49:45.667240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6082929f-81bd-4e0f-9e40-7dad3d69d83d · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors L2 Regularization versus Batch and Weight Normalization

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-07-04T20:30:07.606260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f474a6f3-a46d-4b06-9181-e3ec6d075c80 · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors L2 Regularization versus Batch and Weight Normalization

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-02T10:14:11.556096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b0bb89b-2852-45b5-8e8c-2359a173e3d5 · inbound

On the Nonlinearity of Learning Rate Scaling for LLM Training cites this paper.

On the Nonlinearity of Learning Rate Scaling for LLM Training L2 Regularization versus Batch and Weight Normalization

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-06-30T08:24:26.807479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6d64212f-a37d-4399-90c7-f7c594462439 · inbound

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

Dead-Direction Conditioners: Gauge-Equivariant Preconditioning for Deep Networks L2 Regularization versus Batch and Weight Normalization

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-06-30T08:04:28.130994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c50d069-29ae-49bd-9ff6-db04e345740e · 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 L2 Regularization versus Batch and Weight Normalization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T08:50:40.509350Z

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Unavailable: canonical work link unavailable.

Observation c37093d2-1cc2-4b7c-88e6-2b19a53ca26f · inbound

Hyperball May Not Be a Free Lunch cites this paper.

Hyperball May Not Be a Free Lunch L2 Regularization versus Batch and Weight Normalization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T04:48:13.221193Z

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Unavailable: canonical work link unavailable.

Observation b4c0e474-cbe7-43f0-8789-3ee316ab8a79 · inbound

Scale Weight Decay and Train Better cites this paper.

Scale Weight Decay and Train Better L2 Regularization versus Batch and Weight Normalization

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-30T12:53:41.060313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.