Paper Citation Record · LEDGER

Anisotropic Gaussian Smoothing for Gradient-based Optimization

As of 17 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2411.11747.

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

pith.paper-citation-record.v1
2411.11747 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:23:49.248418Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

24 of 24 outbound references displayed

verified exact2
verified fuzzy16
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5ed97aa-af97-4908-8453-66f7c960f099 · outbound

This paper cites A restart CMA evolution strategy with in- creasing population size.

Anisotropic Gaussian Smoothing for Gradient-based Optimization A restart CMA evolution strategy with in- creasing population size

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:23:50.013019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e732843d-b777-443c-9fc8-fe80f7b2a2c6 · outbound

This paper cites Stochastic optimization problems with nondifferentiable cost functionals.

Anisotropic Gaussian Smoothing for Gradient-based Optimization Stochastic optimization problems with nondifferentiable cost functionals

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:23:49.977142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1eb81181-1df9-4411-8c73-78d82d87d612 · outbound

This paper cites Visual reconstruction.

Anisotropic Gaussian Smoothing for Gradient-based Optimization Visual reconstruction

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:23:49.947365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e7aa767e-adf1-4db7-9d0c-ecbb43590bf9 · outbound

This paper cites Randomized smoothing for stochastic optimization.

Anisotropic Gaussian Smoothing for Gradient-based Optimization Randomized smoothing for stochastic optimization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T18:23:49.108312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 460d2237-97f8-4b0e-bb5b-ebbecb19ddee · outbound

This paper cites The CMA evolution strategy: A comparing review.

Anisotropic Gaussian Smoothing for Gradient-based Optimization The CMA evolution strategy: A comparing review

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:23:49.894192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 368a4b01-6ee4-4669-9898-499753db586c · outbound

This paper cites Evaluating the CMA evolution strategy on multimodal test functions.

Anisotropic Gaussian Smoothing for Gradient-based Optimization Evaluating the CMA evolution strategy on multimodal test functions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:23:49.863683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8ad8093f-06ec-4afc-a1c2-938f9e911c6d · outbound

This paper cites Completely derandomized self- adaptation in evolution strategies.

Anisotropic Gaussian Smoothing for Gradient-based Optimization Completely derandomized self- adaptation in evolution strategies

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:23:49.832918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6aad99f9-2a55-4691-abb2-bb7187d62dd5 · outbound

This paper cites On graduated optimiza- tion for stochastic non-convex problems.

Anisotropic Gaussian Smoothing for Gradient-based Optimization On graduated optimiza- tion for stochastic non-convex problems

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:23:49.811863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 91f76ef9-c471-4125-a0ad-d1d96311a53c · outbound

This paper cites Convergence of Adam for Non-convex Objectives: Relaxed Hyperparameters and Non-ergodic Case.

Anisotropic Gaussian Smoothing for Gradient-based Optimization Convergence of Adam for Non-convex Objectives: Relaxed Hyperparameters and Non-ergodic Case

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T18:23:49.145676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1929189f-f072-432d-86a2-9840ba24298c · outbound

This paper cites Covariance matrix adaptation for multi-objective optimization.

Anisotropic Gaussian Smoothing for Gradient-based Optimization Covariance matrix adaptation for multi-objective optimization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:23:49.781107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82dae7ea-90de-4c97-bcef-35405b9db32e · outbound

This paper cites Single loop gaussian homotopy method for non-convex optimization.

Anisotropic Gaussian Smoothing for Gradient-based Optimization Single loop gaussian homotopy method for non-convex optimization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:23:49.750308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51ed02fe-c50a-4495-a503-67e9b4f6e9fa · outbound

This paper cites On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.

Anisotropic Gaussian Smoothing for Gradient-based Optimization On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T18:23:49.167143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 624c10d2-a7d3-474d-8ce2-0c5ff9d01d81 · outbound

This paper cites A primer on zeroth-order optimization in signal processing and machine learning: Principals, recent advances, and applications.

Anisotropic Gaussian Smoothing for Gradient-based Optimization A primer on zeroth-order optimization in signal processing and machine learning: Principals, recent advances, and applications

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T18:23:49.175639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fe44d7f-b3c8-4389-b65f-f9eda0ea631d · outbound

This paper cites On the behavior of spatial critical points under gaussian blurring a folklore theorem and scale-space constraints.

Anisotropic Gaussian Smoothing for Gradient-based Optimization On the behavior of spatial critical points under gaussian blurring a folklore theorem and scale-space constraints

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:23:49.701804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 20bbe6ab-1687-4715-9b17-3bf9216e1d70 · outbound

This paper cites CMA-ES for hyperparameter optimization of deep neural networks.

Anisotropic Gaussian Smoothing for Gradient-based Optimization CMA-ES for hyperparameter optimization of deep neural networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:23:49.671496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c14ed248-891c-4b2f-a951-34cf65f292e4 · outbound

This paper cites Optimization by Gaussian smoothing with application to geometric alignment.

Anisotropic Gaussian Smoothing for Gradient-based Optimization Optimization by Gaussian smoothing with application to geometric alignment

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:23:49.641397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 33462fa0-dd74-4d4c-8c5e-0ec8ba7f2c94 · outbound

This paper cites On the link between gaussian homotopy continuation and convex envelopes.

Anisotropic Gaussian Smoothing for Gradient-based Optimization On the link between gaussian homotopy continuation and convex envelopes

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:23:49.615181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6e9e9cb9-4055-40c9-b27e-5b833717df0a · outbound

This paper cites Smoothing techniques for macromolecular global optimization.

Anisotropic Gaussian Smoothing for Gradient-based Optimization Smoothing techniques for macromolecular global optimization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:23:49.585100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d9a359e6-f665-4a47-b73e-ecfb92791355 · outbound

This paper cites Nesterov and V.

Anisotropic Gaussian Smoothing for Gradient-based Optimization Nesterov and V

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:23:49.557105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 514494fd-9190-408e-9ee2-c2eebd7f383c · outbound

This paper cites Real & Complex Analysis.

Anisotropic Gaussian Smoothing for Gradient-based Optimization Real & Complex Analysis

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:23:49.519498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f922f24d-0557-4cdd-84bc-2124496b20c6 · outbound

This paper cites Gaussian smoothing gradient descent for minimizing functions (GSmoothGD).

Anisotropic Gaussian Smoothing for Gradient-based Optimization Gaussian smoothing gradient descent for minimizing functions (GSmoothGD)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T18:23:49.228739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8d1bf1b-77d4-40cf-aa15-fb4aae53c6c0 · outbound

This paper cites Improved Performance of Stochastic Gradients with Gaussian Smoothing.

Anisotropic Gaussian Smoothing for Gradient-based Optimization Improved Performance of Stochastic Gradients with Gaussian Smoothing

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T18:23:49.234274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d789b259-890c-4f80-ad00-9dd2eef10586 · outbound

This paper cites AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient.

Anisotropic Gaussian Smoothing for Gradient-based Optimization AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:23:49.358917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3602a50b-e917-4984-b0bd-03d09faf4008 · outbound

This paper cites A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization.

Anisotropic Gaussian Smoothing for Gradient-based Optimization A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:23:49.319716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.