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Paper Citation Record · LEDGER

A kernel-based stochastic approximation framework for contextual optimization

As of 7 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2510.24033.

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

pith.paper-citation-record.v1
2510.24033 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:00:37.736616Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

43 of 43 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved42
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation ecbdc638-127a-408c-bab7-28703ad67cc7 · outbound

This paper cites write newline.

A kernel-based stochastic approximation framework for contextual optimization write newline

Reference 1

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Observation 7e7829c8-7999-416c-9071-b5263c82b6bf · outbound

This paper cites The Review of Financial Studies 30(1):2--47.

A kernel-based stochastic approximation framework for contextual optimization The Review of Financial Studies 30(1):2--47

Reference 2

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Observation 46c3de8c-d671-401c-8466-f3268aa2eb70 · outbound

This paper cites Federal Reserve Bank of New York Staff Report ://dx.doi.org/10.2139/ssrn.1269446.

A kernel-based stochastic approximation framework for contextual optimization Federal Reserve Bank of New York Staff Report ://dx.doi.org/10.2139/ssrn.1269446

Reference 3

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Observation 7b4e9600-70da-4fe1-82a7-7f8448fe8940 · outbound

This paper cites Operations Research 67(1):90--108.

A kernel-based stochastic approximation framework for contextual optimization Operations Research 67(1):90--108

Reference 4

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Observation a6e55b71-9eca-45fb-bb42-f0f337c05538 · outbound

This paper cites Management Science 66(3):1025--1044.

A kernel-based stochastic approximation framework for contextual optimization Management Science 66(3):1025--1044

Reference 5

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Observation e42a91e2-ec30-4775-b36b-09411646c94d · outbound

This paper cites IIE Transactions 33(3):245--258.

A kernel-based stochastic approximation framework for contextual optimization IIE Transactions 33(3):245--258

Reference 6

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Observation 8fed3ae4-f8f5-4627-a416-0c14c096e84c · outbound

This paper cites ACM Transactions on Modeling and Computer Simulation (TOMACS) 13(2):180--209.

A kernel-based stochastic approximation framework for contextual optimization ACM Transactions on Modeling and Computer Simulation (TOMACS) 13(2):180--209

Reference 7

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Observation cb89743e-8a56-4b69-90c4-72124f3dd661 · outbound

This paper cites International Journal of Forecasting 39(1):391--404.

A kernel-based stochastic approximation framework for contextual optimization International Journal of Forecasting 39(1):391--404

Reference 8

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Observation 16853e7f-732b-422d-9c17-93940a177c38 · outbound

This paper cites Systems & Control Letters 29(5):291--294.

A kernel-based stochastic approximation framework for contextual optimization Systems & Control Letters 29(5):291--294

Reference 9

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A kernel-based stochastic approximation framework for contextual optimization Unresolved cited work

Reference 10

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This paper cites Available at SSRN 4583631.

A kernel-based stochastic approximation framework for contextual optimization Available at SSRN 4583631

Reference 11

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Observation a2b26fe5-200f-4167-b20b-4a35d5c4b3c3 · outbound

This paper cites Automatica 174:112140.

A kernel-based stochastic approximation framework for contextual optimization Automatica 174:112140

Reference 12

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Observation 1e82ccef-da5a-41cb-a437-630e4e4087e4 · outbound

This paper cites SIAM Journal on Control and Optimization 59(4):2798--2819.

A kernel-based stochastic approximation framework for contextual optimization SIAM Journal on Control and Optimization 59(4):2798--2819

Reference 13

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Observation 2594da8a-135d-4299-a343-be225bd9e73f · outbound

This paper cites IEEE Transactions on Automatic Control 68(8):4695--4705.

A kernel-based stochastic approximation framework for contextual optimization IEEE Transactions on Automatic Control 68(8):4695--4705

Reference 14

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Observation a0cf2983-db8c-46b7-95ca-b81eee08daaa · outbound

This paper cites IEEE Transactions on Automatic Control.

A kernel-based stochastic approximation framework for contextual optimization IEEE Transactions on Automatic Control

Reference 15

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This paper cites Statistics & Probability Letters 13(3):235--243.

A kernel-based stochastic approximation framework for contextual optimization Statistics & Probability Letters 13(3):235--243

Reference 16

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Observation 3afcd95d-0ca3-45d2-95cb-39a43e5d3d59 · outbound

This paper cites Biometrika 85(3):645--660.

A kernel-based stochastic approximation framework for contextual optimization Biometrika 85(3):645--660

Reference 17

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Observation 8bb38c56-7855-448c-9d62-a052a4bd2f94 · outbound

This paper cites Journal of Econometrics 191(1):196--216.

A kernel-based stochastic approximation framework for contextual optimization Journal of Econometrics 191(1):196--216

Reference 18

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A kernel-based stochastic approximation framework for contextual optimization Unresolved cited work

Reference 19

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Observation b6a98990-3a91-49e7-b6f5-34aa3e75c993 · outbound

This paper cites Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise.

A kernel-based stochastic approximation framework for contextual optimization Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise

Reference 20

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Observation 4d12787e-cbf0-4480-bb5c-25323e45557d · outbound

This paper cites a rdle W, M \.

A kernel-based stochastic approximation framework for contextual optimization a rdle W, M \

Reference 21

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Observation dcea2fba-1508-431c-ba28-ff2b28e81780 · outbound

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A kernel-based stochastic approximation framework for contextual optimization Operations Research 73(2):1143--1150

Reference 22

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A kernel-based stochastic approximation framework for contextual optimization INFORMS Journal on Computing 34(6):2889--2907, ://dx.doi.org/10.1287/ijoc.2022.1214

Reference 23

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A kernel-based stochastic approximation framework for contextual optimization Operations Research 73(3):1535--1557

Reference 24

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A kernel-based stochastic approximation framework for contextual optimization Operations Research 72(6):2337--2357

Reference 25

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A kernel-based stochastic approximation framework for contextual optimization Management Science 69(4):1975--1994

Reference 26

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Observation b44d2120-f217-45e6-8bb8-172be6450fe1 · outbound

This paper cites The European Journal of Finance 24(11):944--975.

A kernel-based stochastic approximation framework for contextual optimization The European Journal of Finance 24(11):944--975

Reference 27

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This paper cites The Annals of Applied Probability 14(2):796--819.

A kernel-based stochastic approximation framework for contextual optimization The Annals of Applied Probability 14(2):796--819

Reference 28

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Observation 79212237-7e54-4d67-a74f-b95bc9d803d2 · outbound

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A kernel-based stochastic approximation framework for contextual optimization Unresolved cited work

Reference 29

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A kernel-based stochastic approximation framework for contextual optimization arXiv preprint arXiv:2411.12995

Reference 30

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This paper cites The Annals of Applied Probability 16(3):1671--1702.

A kernel-based stochastic approximation framework for contextual optimization The Annals of Applied Probability 16(3):1671--1702

Reference 31

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A kernel-based stochastic approximation framework for contextual optimization The Annals of Mathematical Statistics 33(3):1065--1076

Reference 32

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Observation a32da8ae-e592-4ce4-8b46-5c9eca51212c · outbound

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A kernel-based stochastic approximation framework for contextual optimization Management Science 68(3):1639--1658

Reference 33

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This paper cites European Journal of Operational Research 320(2):271--289.

A kernel-based stochastic approximation framework for contextual optimization European Journal of Operational Research 320(2):271--289

Reference 34

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Observation 58046310-415a-4d77-a359-4abd650e51be · outbound

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A kernel-based stochastic approximation framework for contextual optimization Journal of the American Statistical Association 72(358):420--423

Reference 35

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A kernel-based stochastic approximation framework for contextual optimization The Annals of Statistics 6(1):177--184

Reference 36

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Observation 4b7f53d8-7c37-4bfe-8b31-5bba37ec62bc · outbound

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A kernel-based stochastic approximation framework for contextual optimization IEEE Transactions on Automatic Control 37(3):332--341

Reference 37

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A kernel-based stochastic approximation framework for contextual optimization Proceedings of the 2003 American Control Conference, 2003., volume 5, 4426--4431 (IEEE)

Reference 38

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Observation e7f3effe-0a7c-435d-9926-8cfa15b5718a · outbound

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A kernel-based stochastic approximation framework for contextual optimization arXiv preprint arXiv:2503.12747

Reference 39

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:00:37.302895Z digest=sha256:b277cb4e37784788312a8bfab19d3939c0c987591785cbc8bc13aa1cf60dc9f4

Observation 01534be8-0f0c-4670-bf0c-3cb5eee7171c · outbound

This paper cites Advances in Neural Information Processing Systems 33:17617--17628.

A kernel-based stochastic approximation framework for contextual optimization Advances in Neural Information Processing Systems 33:17617--17628

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T08:00:37.393046Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T08:00:37.393046Z digest=sha256:cb4a7941ca246515e0e9d52d707d6a9c238cf6df4c35d27a8855c0dfe3a94ab0

Observation 979bac2a-1c5f-437c-8af6-c2982b08338a · outbound

This paper cites Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 1970--1979.

A kernel-based stochastic approximation framework for contextual optimization Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 1970--1979

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T08:00:37.568682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:00:37.568682Z digest=sha256:05e2fe3f5d839cbf8ef332c23d2233f283e210f84dbde2e2e12958cd7d132e8b

Observation 3816b8fc-e7f1-41fb-9960-de8bcb54c5ad · outbound

This paper cites an unresolved cited work.

A kernel-based stochastic approximation framework for contextual optimization Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T08:00:37.676746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:00:37.676746Z digest=sha256:cd714d36782fba89e16d99aec646d20bd785f5fef02c1f90a6c34bc8317b6224

Observation baea6063-b3bf-4792-b497-4aa7e08d26e5 · outbound

This paper cites Management Science 70(4):2315--2329.

A kernel-based stochastic approximation framework for contextual optimization Management Science 70(4):2315--2329

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T08:00:37.736616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:00:37.736616Z digest=sha256:43d1cdae5694fba54b0455ee68a18b8a2f39cd91b29909b70c0ee623c9601b18

Pith citing papers

No inbound Pith citation observations are available.