Paper Citation Record · LEDGER

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient

As of 7 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2606.19861.

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

pith.paper-citation-record.v1
2606.19861 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T15:27:16.849825Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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 exact12
verified fuzzy0
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 94282a4f-66da-4324-8785-1cab4bf2183d · outbound

This paper cites Theoretical Computer Science832, 42–67 (2020).

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient Theoretical Computer Science832, 42–67 (2020)

Reference 1

Resolution: verified exact; doi, observed 2026-06-26T15:29:33.841388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8a759057-67b4-4e0c-b916-24916a835a2b · outbound

This paper cites In: International Conference on Machine Learning (ICML).

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient In: International Conference on Machine Learning (ICML)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T15:27:16.849825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e5e0fdb-2540-4de8-88c9-583a70c1721f · outbound

This paper cites In: 8th International Workshop on Foundations of Genetic Algorithms (FOGA) 2005.

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient In: 8th International Workshop on Foundations of Genetic Algorithms (FOGA) 2005

Reference 3

Resolution: verified exact; doi, observed 2026-06-26T15:29:33.834783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 214d1f7f-c3ca-4772-abf6-7050b765a2fe · outbound

This paper cites In: Machine Learning Proceedings 1995, pp.

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient In: Machine Learning Proceedings 1995, pp

Reference 4

Resolution: verified exact; doi, observed 2026-06-26T15:29:33.831438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cac0edb1-d251-4e2c-b608-87656620c188 · outbound

This paper cites Algorithmica81(2), 668–702 (Feb 2019).

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient Algorithmica81(2), 668–702 (Feb 2019)

Reference 5

Resolution: verified exact; doi, observed 2026-06-26T15:29:33.833131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 41dbe126-28d0-458a-83a7-fc6642a35e58 · outbound

This paper cites Oxford Univer- sity Press (2018).https://doi.org/10.1093/oso/9780198814788.001.0001.

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient Oxford Univer- sity Press (2018).https://doi.org/10.1093/oso/9780198814788.001.0001

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T15:29:33.837328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a3197105-1b5d-45d5-8bbb-546c1d313030 · outbound

This paper cites Exponential Natural Evolution Strategies,.

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient Exponential Natural Evolution Strategies,

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T15:29:33.839809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4f2e88cf-240e-4aa6-9e05-ec644c2c604c · outbound

This paper cites Computers & Chemical Engineering170, 108110 (2023).

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient Computers & Chemical Engineering170, 108110 (2023)

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-26T15:29:33.843651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b4173b2d-e0e2-44e5-a838-cadd242da587 · outbound

This paper cites Hansen and A.

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient Hansen and A

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T15:29:33.861595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 33819235-3297-4058-8d63-62a03576b49b · outbound

This paper cites an unresolved cited work.

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient Unresolved cited work

Reference 10

Resolution: verified exact; doi, observed 2026-06-26T15:29:33.855720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f3dd8255-f4e8-47d6-bcb3-5687278e04d2 · outbound

This paper cites IEEE Transactions on Evolutionary Computation3, 287–297 (1999).

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient IEEE Transactions on Evolutionary Computation3, 287–297 (1999)

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-26T15:29:33.854075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f1e5f77c-b074-4e23-9173-2b337940daa8 · outbound

This paper cites In: 2006 IEEE International Conference on Evolutionary Computation.

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient In: 2006 IEEE International Conference on Evolutionary Computation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-26T15:29:33.851720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c4ed1232-17dc-45ed-a693-cd6fdde827c4 · outbound

This paper cites Algorithmica83(4), 1096–1137 (2021).

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient Algorithmica83(4), 1096–1137 (2021)

Reference 13

Resolution: verified exact; doi, observed 2026-06-26T15:29:33.845195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 36b40e3c-8995-4839-ae87-ee4b3777c3a1 · outbound

This paper cites In: GECCO.

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient In: GECCO

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T15:29:33.864193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 44e14c21-1363-43fb-842f-8ea562acf87e · outbound

This paper cites ACM Transactions on Evolutionary Learning and Optimization (2024).

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient ACM Transactions on Evolutionary Learning and Optimization (2024)

Reference 15

Resolution: verified exact; doi, observed 2026-06-26T15:29:33.846883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 23bdce7c-9bf2-49f0-bf2b-d5e873ae6517 · outbound

This paper cites Journal of Machine Learning Research18(1), 564–628 (2017).

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient Journal of Machine Learning Research18(1), 564–628 (2017)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T15:27:16.849825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0de87040-bb5f-456c-ba0d-b8f29ab97c9a · outbound

This paper cites Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-04T05:49:37.125368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b98e032b-753e-4a14-9470-8d3a3e2c0aa5 · outbound

This paper cites In: Bäck, T., Preuss, M., Deutz, A., Wang, H., Doerr, C., Emmerich, M., Trautmann, H.

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient In: Bäck, T., Preuss, M., Deutz, A., Wang, H., Doerr, C., Emmerich, M., Trautmann, H

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T15:27:16.849825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e003daa1-98ee-4007-9b03-0d1a4bd0dac8 · outbound

This paper cites In: 2009 IEEE Congress on Evolutionary Computation.

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient In: 2009 IEEE Congress on Evolutionary Computation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-26T15:29:33.849282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.