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Paper Citation Record · LEDGER

Connecting Independently Trained Modes via Layer-Wise Connectivity

As of 22 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2505.02604.

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

pith.paper-citation-record.v1
2505.02604 v5

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:53:40.129065Z

measured 20 of 20 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

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 95612510-4d14-4053-8b5a-0961ce783f2c · outbound

This paper cites 10 Published as a conference paper at ICLR 2026 Chenhang.

Connecting Independently Trained Modes via Layer-Wise Connectivity 10 Published as a conference paper at ICLR 2026 Chenhang

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-16T00:53:40.897863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d22c32b6-39a0-470e-8210-a0c8696bf5aa · outbound

This paper cites Applied Layers.

Connecting Independently Trained Modes via Layer-Wise Connectivity Applied Layers

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e088f02b-b376-47da-a302-4d34c0f8cee4 · outbound

This paper cites A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks.

Connecting Independently Trained Modes via Layer-Wise Connectivity A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c3326011-5e3f-48f8-8b7d-dd9831779637 · outbound

This paper cites Designing Network Design Spaces.

Connecting Independently Trained Modes via Layer-Wise Connectivity Designing Network Design Spaces

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:53:39.804602Z digest=sha256:ef5177a39b4e760305f978c4671398bce307a6b1d9d30dc10383781595be1890

Observation a9304fc9-14ae-41d3-b2d0-2b21065eda03 · outbound

This paper cites Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates.

Connecting Independently Trained Modes via Layer-Wise Connectivity Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c2a8ad79-02ea-4571-a69e-28b20c6b0625 · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

Connecting Independently Trained Modes via Layer-Wise Connectivity EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:53:40.100597Z digest=sha256:b3a6be44fce058ccba9ae2a066eb47b7157ce40296894415398d9a4951c8f15f

Observation f7f67ef6-4a68-401b-ac25-a855061133c5 · outbound

This paper cites Deep Layer Aggregation.

Connecting Independently Trained Modes via Layer-Wise Connectivity Deep Layer Aggregation

Reference 14

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no resolver link, observed 2026-08-16T00:53:40.104876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 762a686f-74e5-4b18-91ee-736e08019c40 · outbound

This paper cites 16 Published as a conference paper at ICLR 2026 Table 3: Hyperparameters used for applying Algorithm 2 to find the low-loss path toward origin.

Connecting Independently Trained Modes via Layer-Wise Connectivity 16 Published as a conference paper at ICLR 2026 Table 3: Hyperparameters used for applying Algorithm 2 to find the low-loss path toward origin

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-16T00:53:40.794867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 35c87926-c091-45ac-a868-dd9c999050b3 · outbound

This paper cites an unresolved cited work.

Connecting Independently Trained Modes via Layer-Wise Connectivity Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:40.125344Z digest=sha256:82e4b39bfc87e8694895e3911b1d797439eb5802c5e7bfde6ac487fbf72e93c1

Observation e9a23c8f-0544-4ed4-85b0-6c3f89207f65 · outbound

This paper cites Explicit Inductive Bias for Transfer Learning with Convolutional Networks.

Connecting Independently Trained Modes via Layer-Wise Connectivity Explicit Inductive Bias for Transfer Learning with Convolutional Networks

Reference 1998

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no resolver link, observed 2026-08-16T00:53:39.792091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8618a1f0-b48b-4144-a245-29a2ba137f6f · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Connecting Independently Trained Modes via Layer-Wise Connectivity Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 2015

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no resolver link, observed 2026-08-16T00:53:39.848206Z

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Observation f3a74e2a-d4b2-4e9f-aafd-de515ac3e4b6 · outbound

This paper cites ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices.

Connecting Independently Trained Modes via Layer-Wise Connectivity ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

Reference 2017

Resolution
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no resolver link, observed 2026-08-16T00:53:40.109144Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:53:40.109144Z digest=sha256:bf85bd08d7031ffa3fbd78e466e3ca53f79ac54c81a6fe1f893f004864ba3e2d

Observation e622325b-7374-47f3-8736-14a5139a56aa · outbound

This paper cites Densely Connected Convolutional Networks.

Connecting Independently Trained Modes via Layer-Wise Connectivity Densely Connected Convolutional Networks

Reference 2018

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no resolver link, observed 2026-08-16T00:53:39.723848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:53:39.723848Z digest=sha256:24fd679cd1167f7b75d92c7730f658da9926bc3e17b7db776019b9c894632463

Observation b469ca6c-e518-4eae-9b96-1034a46a7b34 · outbound

This paper cites MobileNetV2: Inverted Residuals and Linear Bottlenecks.

Connecting Independently Trained Modes via Layer-Wise Connectivity MobileNetV2: Inverted Residuals and Linear Bottlenecks

Reference 2019

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unresolved
no resolver link, observed 2026-08-16T00:53:39.809176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:53:39.809176Z digest=sha256:ea4ffc9947fce7b6a2970d51660b797787e4b7b8ae84f9edd379aaf3cb1afc27

Observation 620c4556-3489-4235-a0cf-979433515b63 · outbound

This paper cites Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel.

Connecting Independently Trained Modes via Layer-Wise Connectivity Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel

Reference 2020

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no resolver link, observed 2026-08-16T00:53:39.704249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6aa41d22-e02d-4ec3-b96e-55522f7ce76e · outbound

This paper cites Uniform convergence may be unable to explain generalization in deep learning.

Connecting Independently Trained Modes via Layer-Wise Connectivity Uniform convergence may be unable to explain generalization in deep learning

Reference 2021

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no resolver link, observed 2026-08-16T00:53:39.796578Z

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Unavailable: canonical work link unavailable.

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Observation 591f942f-ec69-4f70-9298-d94aa7a26c60 · outbound

This paper cites Escaping the Big Data Paradigm with Compact Transformers.

Connecting Independently Trained Modes via Layer-Wise Connectivity Escaping the Big Data Paradigm with Compact Transformers

Reference 2022

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no resolver link, observed 2026-08-16T00:53:39.708809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ff7672a3-d55c-4011-9363-c6a527a94e35 · outbound

This paper cites Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity.

Connecting Independently Trained Modes via Layer-Wise Connectivity Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity

Reference 2023

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verified exact
local_arxiv, observed 2026-08-16T00:53:40.299589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1e79537a-7e17-4803-bf96-a8886594909a · outbound

This paper cites Layer-wise Linear Mode Connectivity.

Connecting Independently Trained Modes via Layer-Wise Connectivity Layer-wise Linear Mode Connectivity

Reference 2024

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Observation f6a3c32f-2207-4b89-af05-8aa4421714f8 · outbound

This paper cites an unresolved cited work.

Connecting Independently Trained Modes via Layer-Wise Connectivity Unresolved cited work

Reference 5090

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.