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Paper Citation Record · LEDGER

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems

As of 21 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.04126.

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

pith.paper-citation-record.v1
2506.04126 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:58:58.391716Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a55f418b-2405-4301-9da5-d24d0552f1f6 · outbound

This paper cites write newline.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:54.528948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:58:54.528948Z digest=sha256:2bcd057f81ae0ac924fa2067158d579447d305a6c27d0cb8cd11aa91606ba91b

Observation ad79c4d2-6dd2-47ad-bc20-d133762bdb77 · outbound

This paper cites SGD with shuffling: optimal rates without component convexity and large epoch requirements.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems SGD with shuffling: optimal rates without component convexity and large epoch requirements

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:04.646076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:54.655996Z digest=sha256:e3754ea8558aea9e49287361bee1202b54b61f893ece7fcaa812d590ca226b40

Observation 0f19aefa-e2c2-471d-a9c6-a78c927fbf3e · outbound

This paper cites and Garg, S.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems and Garg, S

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:04.453928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:54.793140Z digest=sha256:e42eaea15749625f878cc7a8e25cdf49c6294c88a00bcf5200cc9a5b581ec242

Observation de1eb488-1e92-4edf-81eb-5ffd3b9c4ba6 · outbound

This paper cites an unresolved cited work.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:04.256188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:54.937198Z digest=sha256:26afb972c7912df3550544e31a34ad50082ca0dc02de9a6b1bdeb4c9f33376f3

Observation 29ba8739-cf8c-49c2-943d-c6c28125e74c · outbound

This paper cites an unresolved cited work.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:04.042725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:55.047905Z digest=sha256:7a9e34baa075f4291610acffa34e5ee315a2c932cc56202aad7a5ecb1d637210

Observation aed9e185-70f2-4ca6-be6c-9961c2cfad76 · outbound

This paper cites Last Iterate Convergence of Incremental Methods and Applications in Continual Learning.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems Last Iterate Convergence of Incremental Methods and Applications in Continual Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:55.201167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:58:55.201167Z digest=sha256:a3dd867d011a8c8d1d69e52a9a6d8d1676aa02c8fc91978d08990ad2210189dd

Observation 6d57bcb4-1b2a-4a7e-8f18-15174814d3df · outbound

This paper cites Tighter lower bounds for shuffling SGD : Random permutations and beyond.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems Tighter lower bounds for shuffling SGD : Random permutations and beyond

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:03.791569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:55.352276Z digest=sha256:a0c538ce18cd9f5551f4ab7093cb74cf2b832cbc778101e88981b2607a37155a

Observation 199ce0c3-7b7b-4681-81cf-351d7edea8aa · outbound

This paper cites Handbook of Convergence Theorems for (Stochastic) Gradient Methods.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems Handbook of Convergence Theorems for (Stochastic) Gradient Methods

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:55.491727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:58:55.491727Z digest=sha256:0b92b93ae4b90f0a411385564989d19db1e42385d2ec3523673ee25b104e5de6

Observation 792204b2-5d1f-45cb-9e54-47ea328e639d · outbound

This paper cites An investigation into neural net optimization via hessian eigenvalue density.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems An investigation into neural net optimization via hessian eigenvalue density

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:03.551376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:55.613715Z digest=sha256:9c77481ef7f6fa21f1e8f09d1b1a38c7cdfdbc18ca8999938db92a711607a51e

Observation 4cd947e2-7355-4127-aac8-8d70fe2b722f · outbound

This paper cites an unresolved cited work.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems Unresolved cited work

Reference 10

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unresolved
raw_fallback, observed 2026-08-07T10:59:03.390106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:55.754005Z digest=sha256:449a82e069f546737c272c0d5f52dafb575e7af3a44bd234e4cd72ff08321c54

Observation a15e8477-f9a3-4bd8-bace-2a3b28e20ae6 · outbound

This paper cites and Sra, S.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems and Sra, S

Reference 11

Resolution
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raw_fallback, observed 2026-08-07T10:59:03.121346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:55.879340Z digest=sha256:e45fd9d7f7ed7a1663599b7fe3ebac26d3b01ae83d71436386ce4b3f32610191

Observation edacedf1-106b-4efe-a901-c02572da3458 · outbound

This paper cites U., and Jaggi, M.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems U., and Jaggi, M

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:02.848910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:55.988334Z digest=sha256:55a4f6059bc70f26fc47c0b240bb4818f4bf0f865c216756b777c0848ee1db5b

Observation 2c01cf23-6958-4455-89ed-a40fd065908c · outbound

This paper cites First-order and stochastic optimization methods for machine learning, volume 1.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems First-order and stochastic optimization methods for machine learning, volume 1

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:02.561906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:56.133542Z digest=sha256:9a5405ab6431d7a893dfdc8b34861d8ee69b0fb1ac25496196d0d76d3736ec80

Observation 8d76c660-6100-434f-8e21-69c06f6f800b · outbound

This paper cites Visualizing the loss landscape of neural nets.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems Visualizing the loss landscape of neural nets

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:02.350144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:56.262589Z digest=sha256:a65c5c2f67357e92661a7f6e06bb1021d72e5538aa36c03ac2f4831cee460358

Observation be96bd7c-c1a0-48e9-949a-a1f553d4dec5 · outbound

This paper cites and Zhou, Z.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems and Zhou, Z

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:02.086366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:56.408050Z digest=sha256:67aa1a50c90ec54ce8dd91445fa2a91a9ce1223b293957e12015b7e9f3d493de

Observation c8bdaf65-0a26-445e-bcaf-2ca858a3a6bf · outbound

This paper cites and Zhou, Z.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems and Zhou, Z

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:01.766267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:56.567392Z digest=sha256:d2e4f6e8b6f9f2ecb265287d187aad4bd0a7b6f9abe7ad460974139edb5f5fe5

Observation cfc768e7-5991-48aa-9e09-b930f44563bb · outbound

This paper cites an unresolved cited work.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:01.468514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:56.733450Z digest=sha256:cc74a8652a1a43137e8f70b79a2e3f57b11be9491c586f06439820d4b95d6945

Observation 5b102706-270c-40cb-8c60-0d893bd46be9 · outbound

This paper cites Y., and De Sa, C.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems Y., and De Sa, C

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:01.191732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:56.837978Z digest=sha256:fe46faaba7ac869e9fe502a20d0d04d0e7c8dd6ccb4185a178af199242023bc2

Observation 3d9edb11-a239-4c1e-be3b-4a950a48e9d9 · outbound

This paper cites Random reshuffling: Simple analysis with vast improvements.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems Random reshuffling: Simple analysis with vast improvements

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:56.964133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:58:56.964133Z digest=sha256:d1c6d536cb083d648c8624c485c1bb55424b5dce1dfb049846e3a605b199f1ec

Observation fd15921a-006a-4ca6-8b24-b9af0ec8cfbf · outbound

This paper cites Characterizing & Finding Good Data Orderings for Fast Convergence of Sequential Gradient Methods.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems Characterizing & Finding Good Data Orderings for Fast Convergence of Sequential Gradient Methods

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:57.125355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:58:57.125355Z digest=sha256:3dfe058cf7850d1ff919cf105a3460765011eecfd12577912801144438b70111

Observation 461d5926-d019-4886-a992-385e958a0382 · outbound

This paper cites SGD without replacement: Sharper rates for general smooth convex functions.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems SGD without replacement: Sharper rates for general smooth convex functions

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:00.904722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:57.243447Z digest=sha256:d3a2267b00103f2d37dd65b7637d0797f2e6c10ea0ea4240654e74499c9fb32a

Observation 75681332-cb6e-4a59-bb5d-01596154fba4 · outbound

This paper cites M., Tran-Dinh, Q., Phan, D.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems M., Tran-Dinh, Q., Phan, D

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:00.626178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:57.375033Z digest=sha256:69cda86cdd403e228d530c35539636526b1cb81719142f677570d80e50b03115

Observation fb537394-aebf-4141-b191-72ea52fba32b · outbound

This paper cites Closing the convergence gap of SGD without replacement.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems Closing the convergence gap of SGD without replacement

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T10:59:00.273384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:57.509662Z digest=sha256:056f3fafcf67e9623f7473c2c61209656c5f0441bbbcdcb1b7f87fe4acdfe52f

Observation 0a2d017c-04c4-405e-9c44-d25075e0f679 · outbound

This paper cites Permutation-based SGD : Is random optimal? In International Conference on Learning Representations, 2022.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems Permutation-based SGD : Is random optimal? In International Conference on Learning Representations, 2022

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:00.062797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:57.657353Z digest=sha256:aa8c2feb79e401f8db7bcc1e7a56f0ceadaba832bbbd7fed667a389b2fe88243

Observation 2b4c5bbb-f6d5-442c-bfb4-66023f5e591b · outbound

This paper cites and R \'e , C.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems and R \'e , C

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:59.759305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:57.764747Z digest=sha256:6317eb22a298c228ad11a144f0abe565ca386630bd990ba0a15c394630afd774

Observation 713a50b3-01e3-4da2-9fc7-c2f9124bf8c9 · outbound

This paper cites and Shamir, O.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems and Shamir, O

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:59.493188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:57.964591Z digest=sha256:671eda84f340ddf5169d8576037a77a0fdc5b53f409f12d8e270bcbe3c859fc0

Observation e084c065-4d46-41f0-b0a0-16016b21b61c · outbound

This paper cites and Shamir, O.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems and Shamir, O

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:59.222205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:58.079334Z digest=sha256:ca10bd24e539314c1844fda5c53cca40ef8dbd2cb80f8ed555b5728e03df75b8

Observation 3616efd9-ff7d-4c45-b655-3d8edbb1319e · outbound

This paper cites and Zhang, T.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems and Zhang, T

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:58.943870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:58.220168Z digest=sha256:fad58a5dacbbd7fe73ddfd7ee028a3a45fd9d08bc7c9af8c0172a08631242952

Observation 06ede5ee-90d4-409e-83db-dd83e915487f · outbound

This paper cites Minibatch vs local SGD with shuffling: Tight convergence bounds and beyond.

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems Minibatch vs local SGD with shuffling: Tight convergence bounds and beyond

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:58.692115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T10:58:58.391716Z digest=sha256:08930b89b1ec3053004a4adfea505476f5dc1b25a1127ec0175bb84d382abe26

Pith citing papers

No inbound Pith citation observations are available.