Pith. sign in

Paper Citation Record · LEDGER

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks

As of 20 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2608.09523.

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

pith.paper-citation-record.v1
2608.09523 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:48:32.845600Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

19 of 19 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved13
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 55ef6603-1190-418f-bc0e-a1863bf8fd88 · outbound

This paper cites Improving Generalization Performance by Switching from Adam to SGD.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks Improving Generalization Performance by Switching from Adam to SGD

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T15:48:32.654669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:48:32.654669Z digest=sha256:5ac268bd5358f7f14772c8fab8ab7b36ac6952590d3d59cd447ef4cba88f0197

Observation b980bf8e-8e87-4e79-8040-e69c403b9ae6 · outbound

This paper cites an unresolved cited work.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks Unresolved cited work

Reference 12

Resolution
malformed identifier
no resolver link, observed 2026-08-11T15:48:32.660101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:48:32.660101Z digest=sha256:8a722dead95e90267a34897e0d74dd67bbf5bc41be72af16ac4125ae670ebebb

Observation 83442916-15b2-455f-bcce-f8b5c7118d12 · outbound

This paper cites an unresolved cited work.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:48:33.573228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:48:32.773239Z digest=sha256:0bcdc898994db56f64abfd70ef8b1012acccef61da48bfd6a1faa95ff4ab8507

Observation f25e0a5c-681d-48af-a8bd-bf01ca13d2d5 · outbound

This paper cites Variance-reduced Clipping for Non-convex Optimization.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks Variance-reduced Clipping for Non-convex Optimization

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T15:48:32.823113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:48:32.823113Z digest=sha256:ec6b1c4024c63d29e8cef8f799498ac29f53ae03ff8bc75610aba41fe28eaf95

Observation 3e49b2e7-192d-4699-b94a-a27f1a505e50 · outbound

This paper cites doi: 10.1016/ j.spa.2019.06.003.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks doi: 10.1016/ j.spa.2019.06.003

Reference 16

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T15:48:33.505265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:48:32.828957Z digest=sha256:0ce2d0caa2e967b8860ced8b57c19f4ca13a0bd3438fb425b562d454dc000a70

Observation 29c4a038-1299-49dc-b733-5e2be9c8ecad · outbound

This paper cites an unresolved cited work.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:48:33.485281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:48:32.840251Z digest=sha256:e67eec90cfdf20e2a4beab5f941a9d52b4eb1930f0905d4da3c8fddeef82a8b9

Observation 790f2062-5901-4103-b8cf-6586beccbbb2 · outbound

This paper cites an unresolved cited work.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks Unresolved cited work

Reference 1998

Resolution
malformed identifier
no resolver link, observed 2026-08-11T15:48:32.703931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:48:32.703931Z digest=sha256:19322240a95defea95f9c8558442e70f4eb12c35eb5dcf4a7ca988769c145fa6

Observation 33bfc3f2-fdd9-4e5c-b52a-86ccac27bc3d · outbound

This paper cites an unresolved cited work.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks Unresolved cited work

Reference 2001

Resolution
verified exact
doi, observed 2026-08-11T15:48:33.010241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:48:32.630732Z digest=sha256:fbd0e1559249cf3ade5308990af067c84e41a505f559199031de29420af99012

Observation 770bb704-93fd-420e-b245-3f8124281ded · outbound

This paper cites an unresolved cited work.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks Unresolved cited work

Reference 2006

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T15:48:33.437253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:48:32.619195Z digest=sha256:07e716c3775ae13e34bdfb88e2229de5f1f0467afcc41ce2f0a9390305e45ebc

Observation 36959fd7-e598-4cde-b5bd-859dcafef6e9 · outbound

This paper cites Karhadkar, M.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks Karhadkar, M

Reference 2009

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:48:33.703629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:48:32.648996Z digest=sha256:eae401418f8e121a9c658c2c549f270b379460d36e66019c1eeadf23d19c2629

Observation 7f49b2bf-85f9-4c97-9f11-cff758e5eeb4 · outbound

This paper cites an unresolved cited work.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks Unresolved cited work

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-11T15:48:32.834867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:48:32.834867Z digest=sha256:050bbb248679b41fc5947a39be6396399d0d4a57e6435b655d005cb29523ecc8

Observation 559e1164-4864-4c63-9459-a250d62bf492 · outbound

This paper cites doi: 10.1017/CBO9780511804441.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks doi: 10.1017/CBO9780511804441

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-11T15:48:32.606271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:48:32.606271Z digest=sha256:0629a97ec0921aba36ce7e7fde96157676106a1140a104310f4c019bf741c2c6

Observation 8e357238-7846-409e-a224-9831895e48b5 · outbound

This paper cites doi: 10.1109/CVPR.2016.90.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks doi: 10.1109/CVPR.2016.90

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-11T15:48:32.636372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:48:32.636372Z digest=sha256:198661665cd31d5f2ae73d1712b9a0a3a987ae99906a2f345f7fc33848d63ecd

Observation 5e095a8a-431b-4e70-835b-229f48c2a27f · outbound

This paper cites an unresolved cited work.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks Unresolved cited work

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-11T15:48:32.599567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:48:32.599567Z digest=sha256:7e9abb031659a9ce4d153ba1eac9635900d47ca5f1a6dcc4dcc1fd7622444380

Observation fd039348-3051-4517-acf1-cec68b5688de · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-11T15:48:32.845600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:48:32.845600Z digest=sha256:095d29cc612634afda102ba93ac5633bb37f4f9f0d3cec41ceb4d7232d0501fd

Observation 732b2156-7642-44c8-a993-18ea2b5824df · outbound

This paper cites an unresolved cited work.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks Unresolved cited work

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-11T15:48:32.612360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:48:32.612360Z digest=sha256:c0f5feeccfa3886cf0b5fd4084ea5c6e187e4f0e4ec5e6abb67562f8f6f304e3

Observation 5cff68d9-c0e2-4a64-9274-a725b8814734 · outbound

This paper cites an unresolved cited work.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks Unresolved cited work

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-11T15:48:32.643115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:48:32.643115Z digest=sha256:11d6eca2be1d28b16d8d51c6f43a1d0c1f3730406e604daf673c7a15e844fbbb

Observation cbe936c5-d953-495e-9f6e-3b6d020b04eb · outbound

This paper cites an unresolved cited work.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks Unresolved cited work

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T15:48:32.495365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:48:32.495365Z digest=sha256:803f67d39ab7330c2348ec360d93cdfed63a65f037368403f14a09c20e1ddf6b

Observation 8bfcd308-f545-4589-b676-9e7bbfd01329 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T15:48:32.624798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:48:32.624798Z digest=sha256:3986719c5d34ba52558d9026a5fe25dca7914e88b2dc0d09463555d0996105f6

Pith citing papers

No inbound Pith citation observations are available.