Paper Citation Record · LEDGER

Path-conditioned training: a principled way to rescale ReLU neural networks

As of 9 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2602.19799.

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

pith.paper-citation-record.v1
2602.19799 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:38:27.419250Z

measured 54 of 54 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

54 of 54 outbound references displayed

verified exact0
verified fuzzy0
unresolved54
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6501f07-4b57-4279-9f26-e8385a2500dd · outbound

This paper cites Natural gradient works efficiently in learning.

Path-conditioned training: a principled way to rescale ReLU neural networks Natural gradient works efficiently in learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:21.694139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ef0a38c-9ca0-423a-9f4a-2b1d57c93518 · outbound

This paper cites Neural teleportation.

Path-conditioned training: a principled way to rescale ReLU neural networks Neural teleportation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:21.820820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 184e502b-a156-49ee-8756-f16e5b85f9fb · outbound

This paper cites Fine-grained analysis of optimization and generalization for overparameterized two-layer neural networks.

Path-conditioned training: a principled way to rescale ReLU neural networks Fine-grained analysis of optimization and generalization for overparameterized two-layer neural networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:21.970510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd9546f1-b148-4747-9403-67d36ef3a28a · outbound

This paper cites S., Woodworth, B.

Path-conditioned training: a principled way to rescale ReLU neural networks S., Woodworth, B

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:22.132979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4db07ae7-76b8-47fc-8fb6-361ae923dd5e · outbound

This paper cites Symmetry-invariant optimization in deep networks.

Path-conditioned training: a principled way to rescale ReLU neural networks Symmetry-invariant optimization in deep networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:22.267499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a066434d-b07e-4dde-b904-7080d582de6c · outbound

This paper cites an unresolved cited work.

Path-conditioned training: a principled way to rescale ReLU neural networks Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:22.383424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 840b099b-d78c-4772-933e-73e39dcc69df · outbound

This paper cites Local identifiability of deep relu neural networks: the theory.

Path-conditioned training: a principled way to rescale ReLU neural networks Local identifiability of deep relu neural networks: the theory

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:22.582057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a206a25-45dd-42a9-a386-c59a8bc2d3ad · outbound

This paper cites A brief introduction to the neural tangent kernel.

Path-conditioned training: a principled way to rescale ReLU neural networks A brief introduction to the neural tangent kernel

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:22.735455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7784c279-3e43-4575-b7c0-480003e447d2 · outbound

This paper cites On lazy training in differentiable programming.

Path-conditioned training: a principled way to rescale ReLU neural networks On lazy training in differentiable programming

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:22.822414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5e8c712-521d-4e0a-9fc7-0711cc09839f · outbound

This paper cites H., Leiserson, C.

Path-conditioned training: a principled way to rescale ReLU neural networks H., Leiserson, C

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:22.915466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9dbf63c-322e-44b5-bae2-c3d1c5af1175 · outbound

This paper cites Natural neural networks.

Path-conditioned training: a principled way to rescale ReLU neural networks Natural neural networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:23.047270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60f71656-895e-42d7-83cc-8b7346f12f69 · outbound

This paper cites an unresolved cited work.

Path-conditioned training: a principled way to rescale ReLU neural networks Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:23.161192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6475d62-7664-4032-8c6a-322e84020292 · outbound

This paper cites Sharp minima can generalize for deep nets.

Path-conditioned training: a principled way to rescale ReLU neural networks Sharp minima can generalize for deep nets

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:23.265591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d45aa755-466e-4753-9cee-9bbca462965f · outbound

This paper cites an unresolved cited work.

Path-conditioned training: a principled way to rescale ReLU neural networks Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:23.393249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60dc4d7f-80f9-49a3-b05a-22a2ce4369d3 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Path-conditioned training: a principled way to rescale ReLU neural networks An image is worth 16x16 words: Transformers for image recognition at scale

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:23.515980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acd58375-9907-41e7-bc4e-f03735850add · outbound

This paper cites S., Hu, W., and Lee, J.

Path-conditioned training: a principled way to rescale ReLU neural networks S., Hu, W., and Lee, J

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:23.670179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85ead63b-f6d1-4e19-ad76-e4f633411b7b · outbound

This paper cites On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning.

Path-conditioned training: a principled way to rescale ReLU neural networks On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:23.768842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b91a2422-c953-4799-be04-e716e5453a59 · outbound

This paper cites A Unified Paths Perspective for Pruning at Initialization.

Path-conditioned training: a principled way to rescale ReLU neural networks A Unified Paths Perspective for Pruning at Initialization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:23.837181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb7c745d-0b1e-40d8-b08d-0c640b9194b1 · outbound

This paper cites Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification.

Path-conditioned training: a principled way to rescale ReLU neural networks Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:23.953389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 726401bb-de62-4186-b424-5a264e914142 · outbound

This paper cites and Bengio, Y.

Path-conditioned training: a principled way to rescale ReLU neural networks and Bengio, Y

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:24.044942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1e2f5fa-5b39-424f-9f50-a477745d993a · outbound

This paper cites Harnessing symmetries for modern deep learning challenges: a path-lifting perspective.

Path-conditioned training: a principled way to rescale ReLU neural networks Harnessing symmetries for modern deep learning challenges: a path-lifting perspective

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:24.176360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c449e2f4-7e10-4349-a1a3-c7e61857bba7 · outbound

This paper cites A path-norm toolkit for modern networks: consequences, promises and challenges.

Path-conditioned training: a principled way to rescale ReLU neural networks A path-norm toolkit for modern networks: consequences, promises and challenges

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:24.338231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45020cab-8944-4357-af1e-b9c36369885b · outbound

This paper cites Characterizing implicit bias in terms of optimization geometry.

Path-conditioned training: a principled way to rescale ReLU neural networks Characterizing implicit bias in terms of optimization geometry

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:24.511667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03647546-1afa-4ed0-82d5-f4c7905589e3 · outbound

This paper cites an unresolved cited work.

Path-conditioned training: a principled way to rescale ReLU neural networks Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:24.635627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc4a8d7b-5999-4550-a905-e793569c0c81 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification.

Path-conditioned training: a principled way to rescale ReLU neural networks Delving deep into rectifiers: Surpassing human-level performance on imagenet classification

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:24.773115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f77a273b-fbdb-49ea-8966-38d1e10db0a1 · outbound

This paper cites Deep residual learning for image recognition.

Path-conditioned training: a principled way to rescale ReLU neural networks Deep residual learning for image recognition

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:24.839502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d72324c-5fc1-4515-a838-12ca11be9322 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Path-conditioned training: a principled way to rescale ReLU neural networks MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:25.004763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5306cd09-96c7-49bd-8947-655b7f74319f · outbound

This paper cites Neural tangent kernel: Convergence and generalization in neural networks.

Path-conditioned training: a principled way to rescale ReLU neural networks Neural tangent kernel: Convergence and generalization in neural networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:25.110386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f651d475-ca3e-487b-b0a8-63cc8597c526 · outbound

This paper cites Estimation with quadratic loss.

Path-conditioned training: a principled way to rescale ReLU neural networks Estimation with quadratic loss

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:25.233355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4824d3d-4d1d-4ec4-99b6-674ec4d5795d · outbound

This paper cites an unresolved cited work.

Path-conditioned training: a principled way to rescale ReLU neural networks Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:25.301569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c77ae1a-cd65-4efc-ba26-478efeb3d272 · outbound

This paper cites A., and Dhillon, I.

Path-conditioned training: a principled way to rescale ReLU neural networks A., and Dhillon, I

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:25.383948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c42270-8d72-4dbc-aedf-9482c6a4f990 · outbound

This paper cites L., and Tanaka, H.

Path-conditioned training: a principled way to rescale ReLU neural networks L., and Tanaka, H

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:25.483558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3505a13c-aa93-41d6-af6c-ccac392cb268 · outbound

This paper cites Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning.

Path-conditioned training: a principled way to rescale ReLU neural networks Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:25.580241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 370e0c00-3411-416e-9137-276f902c2c51 · outbound

This paper cites Abide by the law and follow the flow: Conservation laws for gradient flows.

Path-conditioned training: a principled way to rescale ReLU neural networks Abide by the law and follow the flow: Conservation laws for gradient flows

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:25.674243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca9a616b-6dc9-450b-bd2c-86864133d66b · outbound

This paper cites Intrinsic training dynamics of deep neural networks.

Path-conditioned training: a principled way to rescale ReLU neural networks Intrinsic training dynamics of deep neural networks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:25.750320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa2b0582-5f95-4b5f-876b-0f4c5c8c56a1 · outbound

This paper cites New insights and perspectives on the natural gradient method.

Path-conditioned training: a principled way to rescale ReLU neural networks New insights and perspectives on the natural gradient method

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:25.847103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e506822-3758-4985-bdfe-77142625bf8f · outbound

This paper cites G- SGD : Optimizing re LU neural networks in its positively scale-invariant space.

Path-conditioned training: a principled way to rescale ReLU neural networks G- SGD : Optimizing re LU neural networks in its positively scale-invariant space

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:25.978599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c60f89dc-0f07-482d-b253-fc8c0675b83f · outbound

This paper cites and Burkholz, R.

Path-conditioned training: a principled way to rescale ReLU neural networks and Burkholz, R

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:26.054855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 618de956-b7af-4ef0-bf28-4cba48660482 · outbound

This paper cites R., and Srebro, N.

Path-conditioned training: a principled way to rescale ReLU neural networks R., and Srebro, N

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:26.134101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49e5dc7f-5839-4a2a-9856-1db1ec9f4e1d · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Path-conditioned training: a principled way to rescale ReLU neural networks Pytorch: An imperative style, high-performance deep learning library

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:26.240684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55300025-c3f0-4f33-88d6-5b2f6431c8ba · outbound

This paper cites an unresolved cited work.

Path-conditioned training: a principled way to rescale ReLU neural networks Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:26.324433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 627c721c-82db-4fb1-9610-bcb87f8130ec · outbound

This paper cites and Corvellec, M.

Path-conditioned training: a principled way to rescale ReLU neural networks and Corvellec, M

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:26.428948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b087e936-ca84-49b9-bcaa-9fa7b9ff3fbf · outbound

This paper cites Computing Power and the Governance of Artificial Intelligence.

Path-conditioned training: a principled way to rescale ReLU neural networks Computing Power and the Governance of Artificial Intelligence

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:26.492887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09ba9a9b-3c8a-40a4-88b9-e36d2b229c37 · outbound

This paper cites an unresolved cited work.

Path-conditioned training: a principled way to rescale ReLU neural networks Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:26.582065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19dfe298-c99b-4b3d-9e38-0a16f7a7bee9 · outbound

This paper cites an unresolved cited work.

Path-conditioned training: a principled way to rescale ReLU neural networks Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:26.680020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94bfc678-9e10-4edf-b5f6-76b6097f8f23 · outbound

This paper cites J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al.

Path-conditioned training: a principled way to rescale ReLU neural networks J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:26.796022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40e4488d-07d8-44ed-ad29-1b2ee4724475 · outbound

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

Path-conditioned training: a principled way to rescale ReLU neural networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:26.921884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85bab7d8-ced9-4ec5-a98d-053039d739ee · outbound

This paper cites and Gribonval, R.

Path-conditioned training: a principled way to rescale ReLU neural networks and Gribonval, R

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:27.036217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d20cc988-bf93-4193-961c-9090581c4f93 · outbound

This paper cites Equi-normalization of neural networks, 2019.

Path-conditioned training: a principled way to rescale ReLU neural networks Equi-normalization of neural networks, 2019

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:27.117250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e161e66-12a2-4460-b521-65c08aa50d67 · outbound

This paper cites Going deeper with convolutions.

Path-conditioned training: a principled way to rescale ReLU neural networks Going deeper with convolutions

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:27.176982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4be5399e-53b4-462a-a98b-ac0d1381b190 · outbound

This paper cites Growing tiny networks: Spotting expressivity bottlenecks and fixing them optimally.

Path-conditioned training: a principled way to rescale ReLU neural networks Growing tiny networks: Spotting expressivity bottlenecks and fixing them optimally

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:27.249328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89a0a0f0-6c8e-4a49-bb5e-4668fcb962da · outbound

This paper cites Thermodynamik quantenmechanischer gesamtheiten.

Path-conditioned training: a principled way to rescale ReLU neural networks Thermodynamik quantenmechanischer gesamtheiten

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:27.315521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6966831f-d5c6-4915-982b-09fce878dd71 · outbound

This paper cites Symmetry teleportation for accelerated optimization.

Path-conditioned training: a principled way to rescale ReLU neural networks Symmetry teleportation for accelerated optimization

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:27.381657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c9c8442-a459-4e32-ae80-3ab6f2f0cef3 · outbound

This paper cites Symmetries, flat minima, and the conserved quantities of gradient flow.

Path-conditioned training: a principled way to rescale ReLU neural networks Symmetries, flat minima, and the conserved quantities of gradient flow

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-02T21:38:27.419250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.