Pith. sign in

Paper Citation Record · LEDGER

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach

As of 10 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2605.14663.

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

pith.paper-citation-record.v1
2605.14663 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T20:25:40.947453Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

31 of 31 outbound references displayed

  • verified exact4
  • verified fuzzy25
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5a5b6ae-481e-45a3-aa2b-67d606190d9e · outbound

This paper cites Convergence of the iterates of descent methods for analytic cost functions.SIAM Journal on Optimization, 16(2):531–547, 2005.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Convergence of the iterates of descent methods for analytic cost functions.SIAM Journal on Optimization, 16(2):531–547, 2005

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:11.026713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:e35e75442ea782049171f7c8cb23f684e08a71327bfc4e3cff4540e23b0be1f7

Observation 6f9ec62a-9f52-4447-b7bd-30b76a0812b3 · outbound

This paper cites Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:11.011034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:70dc9958393f54658ed1a40233941825128886244a7564368c70d653da18f185

Observation 3db86477-6269-4cbb-ba59-3a3766cfa2d9 · outbound

This paper cites Dynamics of stochastic approximation algorithms.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Dynamics of stochastic approximation algorithms

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:11.016196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:d243f858a2a3951041e72b804da74a0ea7200c7fc7655c170322e6498da68b40

Observation a226eabc-3950-4756-b282-22f7e16839c2 · outbound

This paper cites Optimization methods for large-scale machine learning.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Optimization methods for large-scale machine learning

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:11.002047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:3332499c294cd1fa6d1c42371aa942ae58c7eb9b71a577e211c322ac6149e92b

Observation 803a6e1d-5e7d-433c-b4aa-b95662bc4bc6 · outbound

This paper cites If a smooth function is globally P L and coercive, then it has a unique minimizer.https://www.racetothebottom.xyz/posts/PL-smooth-unique/, 2025.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach If a smooth function is globally P L and coercive, then it has a unique minimizer.https://www.racetothebottom.xyz/posts/PL-smooth-unique/, 2025

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:11.006358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:95d5ce4c0b5593903eb210cac46e534fb42a1a833b954e890c3ac7f2254c8ea8

Observation 54cbbab9-ecfc-4107-8ca1-86ec3c774bb4 · outbound

This paper cites Central limit theorems for stochastic gradient descent with averaging for stable manifolds.Electron.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Central limit theorems for stochastic gradient descent with averaging for stable manifolds.Electron

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:11.021054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:afa98022af044ee030dfac9c4eb2826780b6d003471c5399d8d8fb63de062bb9

Observation e0ecb5e8-df13-46fe-b2cd-0e57d5aada53 · outbound

This paper cites Convergence of stochastic gradient descent schemes for Lojasiewicz- landscapes.J.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Convergence of stochastic gradient descent schemes for Lojasiewicz- landscapes.J

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:11.034674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:eaa1fed2ebf8c73d25e0580ab8c06fa2e61fb8248ee22830ed8d6da08b3d258b

Observation 572dcfd3-40cd-416c-9df1-22f5d07ec2ce · outbound

This paper cites On the Morse–Bott property of analytic functions on banach spaces with Lojasiewicz exponent one half.Calc.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach On the Morse–Bott property of analytic functions on banach spaces with Lojasiewicz exponent one half.Calc

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:11.039827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:00f85e3d31408436e2bfbc1510db7b3b7a16c4b52f8e624605b8d359f15a1c8b

Observation 2c6ae7a0-a012-45b5-b404-7c5c166681c4 · outbound

This paper cites Fehrman, B.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Fehrman, B

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:11.043924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:63a976978b0fdf92ab5f397bc0213d65b2c8937c25f753add9e39187ae97a578

Observation b2122d3e-1ad3-42e1-a71c-99c2ed46ae9f · outbound

This paper cites Optimal local linear convergence of nesterov’s accelerated gradient method forc 2 functions under the Polyak– Lojasiewicz inequality.arXiv preprint arXiv:2603.21516, 2026.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Optimal local linear convergence of nesterov’s accelerated gradient method forc 2 functions under the Polyak– Lojasiewicz inequality.arXiv preprint arXiv:2603.21516, 2026

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:47.506065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:ae2b6c21bc60a4442d4a42b3b9c5bb8b094636936921a50483b7eb61d13cdd2c

Observation ca3ee808-83d6-46a5-a11c-b9b36d489284 · outbound

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

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Handbook of Convergence Theorems for (Stochastic) Gradient Methods

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:47.508979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:65c4039530884ba83269d20d58d607d49374735346a64a4c1500b64227d6aade

Observation 194267da-e784-445c-9f3b-a736d17e945e · outbound

This paper cites Exponential convergence rates for momentum stochastic gradient descent in the overparametrized setting.Mathematical Programming, pages 1–37, 2026.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Exponential convergence rates for momentum stochastic gradient descent in the overparametrized setting.Mathematical Programming, pages 1–37, 2026

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:10.981354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:dbbebc1fd6092303c7b997854aa05de73711a6e5d674d5b84845b02a13f48c63

Observation 2c3e4ae5-3b59-40e4-ad3a-503f00f9801c · outbound

This paper cites Nesterov acceleration in benignly non-convex landscapes.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Nesterov acceleration in benignly non-convex landscapes

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:10.984622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:40bc2a318b0b5931de30c175665f9c0ea625021bf0decaa61df81068773e2d39

Observation 7f997a43-c907-44ec-a692-16de4bbb6d0f · outbound

This paper cites Karimi, J.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Karimi, J

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:10.993032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:f262dbff520229ede0e7b701445cf663b18e69ba65f9af90620ad12120e1c0f2

Observation e21beca1-1e16-41a7-82dc-42f63a7ac0c1 · outbound

This paper cites Polyak’s heavy ball method achieves accelerated local rate of convergence under Polyak-Lojasiewicz inequality.arXiv preprint arXiv:2410.16849, 2024.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Polyak’s heavy ball method achieves accelerated local rate of convergence under Polyak-Lojasiewicz inequality.arXiv preprint arXiv:2410.16849, 2024

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:47.503495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:ac9b3d958cf8e2ef336d2221ab4ff2d8a831e0a95dc127f8cc4a2e7f4c132a3d

Observation 515195cc-c0e1-4396-98a8-3a9f58ed9f13 · outbound

This paper cites Khaled and P.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Khaled and P

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:10.956858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:2d7d75ea75eace84a45b97048978fbb17cf0a588c81b7db396adb1118ba3432e

Observation eecc76cf-68a5-4cb6-b6f2-d2e2f31cc5a4 · outbound

This paper cites Springer.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Springer

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:10.937562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:58925cb5b12b4fd7698ab2e65116bd565c255b5478ac185016f3c8b746f1a830

Observation ebb5f599-0b5e-4589-96ac-b363d1e1e55c · outbound

This paper cites Aiming towards the mini- mizers: fast convergence of SGD for overparametrized problems.Advances in neural information processing systems, 36:60748–60767, 2023.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Aiming towards the mini- mizers: fast convergence of SGD for overparametrized problems.Advances in neural information processing systems, 36:60748–60767, 2023

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:10.934326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:9114d44e0dd8c8ef0076294e40b63554962fb00a99541539365aab913c3ddcab

Observation 48849827-292a-4c27-b215-0e519d712a98 · outbound

This paper cites Springer Science & Business Media, 1992.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Springer Science & Business Media, 1992

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:10.963617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:4812186a0653e30a1ee99a0833365232c5dc47b2b3256ec80e6edcd7296ffbe9

Observation 1aec215f-34af-45ba-9d72-429baaa454a0 · outbound

This paper cites Lojasiewicz.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Lojasiewicz

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:10.940941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:e00ac35c0209690dc02db38612077ef0f64189b789d81d4a617ea31807ee2c84

Observation 027fa486-7d63-4a3d-98fc-6cccfb24d5d5 · outbound

This paper cites The power of interpolation: Understanding the effectiveness of SGD in modern over-parametrized learning.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach The power of interpolation: Understanding the effectiveness of SGD in modern over-parametrized learning

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:10.953554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:39c9660b8b873b1bdcd05cc9df8b6230e45f79eb11dd32717d2bd559a4b720a3

Observation 84443b0f-11ae-4efa-8a03-adcef732ce53 · outbound

This paper cites On the almost sure convergence of stochastic gradient descent in non-convex problems.Advances in Neural Information Processing Systems, 33:1117–1128.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach On the almost sure convergence of stochastic gradient descent in non-convex problems.Advances in Neural Information Processing Systems, 33:1117–1128

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:10.950373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:6f7d6f670cc94f5d8162447e1a52c65c4b3f0c3bf327de99ebc2e8e0832106c8

Observation 1c931a7e-61a4-4b01-9d3f-1b65240cb3c1 · outbound

This paper cites Polyak- Lojasiewicz inequality is essentially no more general than strong convexity forC 2 functions.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Polyak- Lojasiewicz inequality is essentially no more general than strong convexity forC 2 functions

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:47.500839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:c31ddbb1eb8f4fca66fbaafe85afa56eefa2d0be96569f56d6e179320037d078

Observation 977cfe63-ee21-4e5d-aa3b-987954b811c8 · outbound

This paper cites Local convergence of the Heavy-Ball method and iPiano for Non-convex optimization.Journal of Optimization Theory and Applications, 177:153–180, 2018.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Local convergence of the Heavy-Ball method and iPiano for Non-convex optimization.Journal of Optimization Theory and Applications, 177:153–180, 2018

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:10.945212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:f287bd1121bb2d3506fca8628c10747279cae0d6c8d844b705e17f9b97e8fa26

Observation 77ececf7-ef79-459e-9e73-3db40d64822a · outbound

This paper cites an unresolved cited work.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-07-07T20:34:10.960297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:1951af4288089ea1db4f20276646b72e5518af584bbc5e37ae76080c80cacabd

Observation 4f9b37cc-936f-41fe-97e6-287dc144e1b1 · outbound

This paper cites an unresolved cited work.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-07-07T20:34:10.971779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:d216a2ad5b488d4b4d236b94eac889970deb283f3a77fceb63c970f279be657b

Observation 65a2da8d-1713-4518-bf4e-7bdda0a4c7a2 · outbound

This paper cites Fast convergence to non-isolated minima: four equivalent conditions forC 2 functions.Math.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Fast convergence to non-isolated minima: four equivalent conditions forC 2 functions.Math

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:10.988968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:1fa66d80867ad9021c913784732140b154c73fb9cc38df085b46936bdb3db9a4

Observation aafd83d3-30c6-4ee9-91d8-0a1eb24d71be · outbound

This paper cites A stochastic approximation method.The annals of mathematical sta- tistics, pages 400–407, 1951.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach A stochastic approximation method.The annals of mathematical sta- tistics, pages 400–407, 1951

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:10.967725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:41b46b17a1929aad9860fdecf1435cf45c1fc5c87d7f046e0251a6122c89182f

Observation 7e25687c-1c2b-491f-b37a-a7f9a554435b · outbound

This paper cites Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema.Stochastic Processes and their Applications, 125(5):1715–1755, 2015.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema.Stochastic Processes and their Applications, 125(5):1715–1755, 2015

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:10.976799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:5a86941d3cfa6d5088a9efd6a0a876b3e6d53c0a334d3b6b8852fe8ac422e008

Observation 46c30150-e957-4741-a041-a7afe97be985 · outbound

This paper cites Vaswani, F.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Vaswani, F

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:10.997958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:264014b030778755b214efd984064253919bc83d67536ce09ddccd9fac7ae258

Observation c1cd3404-4467-4086-bde7-eed97ba14720 · outbound

This paper cites Wojtowytsch.

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach Wojtowytsch

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T20:34:11.048801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T20:25:40.947453Z digest=sha256:f62becb9c9f3471d04a2cdaa8e3d52535c9e589d55bb24b5b5d090f8cd406441

Pith citing papers

No inbound Pith citation observations are available.