Paper Citation Record · LEDGER

Online Learning of Neural Networks

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 3 inbound Pith citation observations for arXiv:2505.09167.

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

pith.paper-citation-record.v1
2505.09167 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:49:58.574436Z

measured 18 of 18 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:32:00.280739Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:56:03.893675Z

Reference resolution

15 of 15 outbound references displayed

verified exact1
verified fuzzy1
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9bbd339-0a6b-4254-9108-a6fb31a3136b · outbound

This paper cites On Learning Gaussian Multi-index Models with Gradient Flow.

Online Learning of Neural Networks On Learning Gaussian Multi-index Models with Gradient Flow

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:58.522963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb42f89d-23cd-4829-8536-2553551c0962 · outbound

This paper cites Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs.

Online Learning of Neural Networks Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:58.549436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 794a06ab-632e-4713-9253-f37f2de95039 · outbound

This paper cites Multiclass Transductive Online Learning.

Online Learning of Neural Networks Multiclass Transductive Online Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:58.553003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 404cf325-6b13-40cc-81b6-9a993ee5dee0 · outbound

This paper cites A Theory of Learning with Autoregressive Chain of Thought.

Online Learning of Neural Networks A Theory of Learning with Autoregressive Chain of Thought

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:58.556811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ff30e5e-0a75-4a81-9c7e-b5f3e810f43b · outbound

This paper cites Online Deep Learning: Learning Deep Neural Networks on the Fly.

Online Learning of Neural Networks Online Deep Learning: Learning Deep Neural Networks on the Fly

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:58.570905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c12250d-f1dd-484d-b8d9-91e82ab004c7 · outbound

This paper cites Mathematical theory of deep learning.arXiv preprint arXiv:2407.18384,.

Online Learning of Neural Networks Mathematical theory of deep learning.arXiv preprint arXiv:2407.18384,

Reference 1962

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:58.567691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb9faaaa-1a54-4298-8b91-3067edf8bfce · outbound

This paper cites Incremental Online Learning of Randomized Neural Network with Forward Regularization.

Online Learning of Neural Networks Incremental Online Learning of Randomized Neural Network with Forward Regularization

Reference 1971

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:58.574436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5c459ad-02a4-4c62-b6b7-b56fc4d65c60 · outbound

This paper cites From on-line to batch learning.

Online Learning of Neural Networks From on-line to batch learning

Reference 1988

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:58.872508Z

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.

Observation 30dd20af-5d10-4ecb-b138-4a0d1d55231c · outbound

This paper cites URL: https://dl.acm.org/doi/10.5555/93335.93365,doi:10.5555/93335.93365.

Online Learning of Neural Networks URL: https://dl.acm.org/doi/10.5555/93335.93365,doi:10.5555/93335.93365

Reference 1989

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:58.564209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7607b580-9184-4ef1-b9d9-daed58fa8196 · outbound

This paper cites Deterministic Apple Tasting.

Online Learning of Neural Networks Deterministic Apple Tasting

Reference 1997

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:58.531129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74ea7c6d-6a5c-4d25-b8af-f5109d571302 · outbound

This paper cites The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents.

Online Learning of Neural Networks The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:58.545248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50f99bd3-c09b-4d37-bcf7-dc4b72e3a3aa · outbound

This paper cites On separability in discrete geometry.

Online Learning of Neural Networks On separability in discrete geometry

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:49:58.839414Z

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.

Observation 66f4c6b1-311b-4f03-b77b-670843bcadca · outbound

This paper cites Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions.

Online Learning of Neural Networks Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:58.517782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7bb62c4-ac09-4066-92b8-de67823e272f · outbound

This paper cites Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions.

Online Learning of Neural Networks Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:58.535439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4614a335-345e-430e-a68b-af8220a4f540 · outbound

This paper cites Computational-Statistical Gaps in Gaussian Single-Index Models.

Online Learning of Neural Networks Computational-Statistical Gaps in Gaussian Single-Index Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:58.541138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 400b9ef6-9c70-4f0f-8ff6-31cbb1dd5e43 · inbound

The Generative Leap: Sharp Sample Complexity for Efficiently Learning Gaussian Multi-Index Models cites this paper.

The Generative Leap: Sharp Sample Complexity for Efficiently Learning Gaussian Multi-Index Models Online Learning of Neural Networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T10:32:00.280739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 194fbfcc-2b9f-4d96-8f68-8e83692f730e · inbound

Mistake-bounded online learning with operation caps cites this paper.

Mistake-bounded online learning with operation caps Online Learning of Neural Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T10:46:17.915864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c5e447f-35dd-4ea8-b7e5-6a057e42fdee · inbound

Sample Complexity of Autoregressive Reasoning: Chain-of-Thought vs. End-to-End cites this paper.

Sample Complexity of Autoregressive Reasoning: Chain-of-Thought vs. End-to-End Online Learning of Neural Networks

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:56:03.902988Z

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.