Paper Citation Record · LEDGER

Feature Learning in Infinite-Width Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2011.14522.

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

pith.paper-citation-record.v1
2011.14522 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 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 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:04:17.026840Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

20
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0f21d264-4216-4667-9666-399343c4bdec · inbound

LoRA: Low-Rank Adaptation of Large Language Models cites this paper.

LoRA: Low-Rank Adaptation of Large Language Models Feature Learning in Infinite-Width Neural Networks

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:01:40.837419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e3e65457-ffa8-4e24-b5b1-630e2e902cdd · inbound

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning cites this paper.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning Feature Learning in Infinite-Width Neural Networks

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T21:11:32.316909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 752923aa-fb38-4b86-ac90-288471cff738 · inbound

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training cites this paper.

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training Feature Learning in Infinite-Width Neural Networks

Reference 120

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T04:09:36.337325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad2774a7-8bae-49d1-b51c-def0e9726cad · inbound

Slowing Learning by Erasing Simple Features cites this paper.

Slowing Learning by Erasing Simple Features Feature Learning in Infinite-Width Neural Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T11:04:17.026840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98c70e28-7945-4490-9de6-5bd6ecabd2fc · inbound

From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning cites this paper.

From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning Feature Learning in Infinite-Width Neural Networks

Reference 2023

Resolution: malformed identifier; no resolver link, observed 2026-08-09T05:36:55.544985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c537dd00-9eef-43a2-9640-cbb631fcc321 · inbound

Parameter Symmetry Potentially Unifies Deep Learning Theory cites this paper.

Parameter Symmetry Potentially Unifies Deep Learning Theory Feature Learning in Infinite-Width Neural Networks

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-08T19:58:27.079130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee08f366-21d2-4bfd-8f63-176e95ca622a · inbound

Adaptive kernel predictors from feature-learning infinite limits of neural networks cites this paper.

Adaptive kernel predictors from feature-learning infinite limits of neural networks Feature Learning in Infinite-Width Neural Networks

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-08T11:19:07.040114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79660be6-9425-4236-a8a7-163a9799a9e6 · inbound

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models cites this paper.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Feature Learning in Infinite-Width Neural Networks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:49.676387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 976af127-1b7d-4c46-98e6-6734576879a0 · inbound

Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation cites this paper.

Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation Feature Learning in Infinite-Width Neural Networks

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T02:44:32.183256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6b15f366-c0a1-41dd-8aa3-21ed137496a3 · inbound

PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models cites this paper.

PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models Feature Learning in Infinite-Width Neural Networks

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T22:50:13.117590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29a2dc6d-16a0-433d-8cfb-fe976bfff7b4 · inbound

Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens cites this paper.

Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens Feature Learning in Infinite-Width Neural Networks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T19:40:36.588862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62718d9b-3306-48d3-be93-8a122b690c3f · inbound

Dynamic Chunking for End-to-End Hierarchical Sequence Modeling cites this paper.

Dynamic Chunking for End-to-End Hierarchical Sequence Modeling Feature Learning in Infinite-Width Neural Networks

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-06T18:34:03.450387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43791dfc-dc6d-4a8f-be0c-ea5f67e4ff93 · inbound

Reactivation: Empirical NTK Dynamics Under Task Shifts cites this paper.

Reactivation: Empirical NTK Dynamics Under Task Shifts Feature Learning in Infinite-Width Neural Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:17.579005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f03e7df4-aa39-4b71-b76b-75119ee1ea17 · inbound

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance cites this paper.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Feature Learning in Infinite-Width Neural Networks

Reference 116

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:05.204798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1760b30-b271-4b9b-af13-18683d1eef5e · inbound

CARE: Counselor-Aligned Response Engine for Online Mental-Health Support cites this paper.

CARE: Counselor-Aligned Response Engine for Online Mental-Health Support Feature Learning in Infinite-Width Neural Networks

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:34:06.839953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 09d5792c-6b32-46aa-90b7-63856e784f3e · inbound

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data cites this paper.

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data Feature Learning in Infinite-Width Neural Networks

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:57:21.833247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f2ceda4-1569-408a-babc-d2d7d3bc38b5 · inbound

Principled Design of Diffusion-based Optimizers for Inverse Problems cites this paper.

Principled Design of Diffusion-based Optimizers for Inverse Problems Feature Learning in Infinite-Width Neural Networks

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T02:37:07.817870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 312a84f1-654a-4b2c-960f-2c5c4ede6c6f · inbound

Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation cites this paper.

Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation Feature Learning in Infinite-Width Neural Networks

Reference 85

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T04:57:17.574285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8a1767d8-f0e4-4af1-9169-ca5667995c1c · inbound

One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs cites this paper.

One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs Feature Learning in Infinite-Width Neural Networks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:44:42.651935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1eb83793-db37-4efa-95da-fff07bd1647f · inbound

One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs cites this paper.

One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs Feature Learning in Infinite-Width Neural Networks

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:34:57.603774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f1463cbb-4bfd-4119-9f34-300a8a6c93fd · inbound

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models cites this paper.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Feature Learning in Infinite-Width Neural Networks

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:39:37.863096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d473d474-052d-45bc-9d6d-5bc775e4ef82 · inbound

HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning cites this paper.

HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning Feature Learning in Infinite-Width Neural Networks

Reference 283

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:39:37.466916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 95fdfaca-88b1-4e55-a625-a65e4732112c · inbound

Channel Location Constrains the Auditability of Subliminal Learning cites this paper.

Channel Location Constrains the Auditability of Subliminal Learning Feature Learning in Infinite-Width Neural Networks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:19:44.365679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c433e8a7-c650-4704-918a-1b583775d2da · inbound

Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime cites this paper.

Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime Feature Learning in Infinite-Width Neural Networks

Reference 75

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:29:44.301056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d7fecc01-c726-4c17-bf97-d64c97ab40ae · inbound

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product cites this paper.

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product Feature Learning in Infinite-Width Neural Networks

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T12:45:44.986571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4fdb44ae-775f-42fe-b4f7-04789b055ce3 · inbound

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product cites this paper.

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product Feature Learning in Infinite-Width Neural Networks

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T09:36:52.413688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da81d341-2cc6-485e-a096-40776047f9ae · inbound

Pre-Strings Lectures on Artificial Intelligence cites this paper.

Pre-Strings Lectures on Artificial Intelligence Feature Learning in Infinite-Width Neural Networks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-12T06:14:03.658427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe6f1eb5-da8f-450e-beec-49aa75f1e250 · inbound

Implicit Bias of SGD in Multivariate ReLU Networks: Effective Width Collapse cites this paper.

Implicit Bias of SGD in Multivariate ReLU Networks: Effective Width Collapse Feature Learning in Infinite-Width Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T01:11:50.444218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71642c5e-b6d8-420e-b214-b7860253f3fc · inbound

Foundation Models for Astrophysics cites this paper.

Foundation Models for Astrophysics Feature Learning in Infinite-Width Neural Networks

Reference 141

Resolution: unresolved; no resolver link, observed 2026-08-04T04:31:49.135791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.