Paper Citation Record · LEDGER

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems

As of 11 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 3 inbound Pith citation observations for arXiv:2405.11392.

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

pith.paper-citation-record.v1
2405.11392 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T00:58:40.153641Z

measured 41 of 41 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:52:56.676736Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

38 of 38 outbound references displayed

verified exact3
verified fuzzy15
unresolved20
parse uncertain0
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External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation e8091015-4eb9-48dd-99bb-531f38f0e8d0 · outbound

This paper cites write newline.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems write newline

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:56.042952Z

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.

Observation 3261a37b-54e4-44ff-9fe9-6c38a38d597c · outbound

This paper cites E, and A.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems E, and A

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:56.039891Z

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.

Observation 37c7730b-7f4c-4665-be2a-b45f63eeb8dc · outbound

This paper cites Cheridito, and A.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Cheridito, and A

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:56.114303Z

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.

Observation 7463f76d-4a78-4115-9b44-122bb4fefe35 · outbound

This paper cites and J.-F.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems and J.-F

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:56.103431Z

Source-reported events for the cited work

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Observation c65a56fb-1746-4675-befa-5277f56bfe0c · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.106173Z

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.

Observation e08fa76a-2c88-43d1-b198-1d726099fbe9 · outbound

This paper cites Glasserman, et al.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Glasserman, et al

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:56.100773Z

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.

Observation 3d9bb5ae-2a22-4722-874b-4857d9a01a99 · outbound

This paper cites Mikael, and X.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Mikael, and X

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:56.108838Z

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.

Observation 1a9cc027-5b13-4158-aed0-1aaac44e0f9f · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.087210Z

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.

Observation 9c2e450e-e9fb-48e2-b36a-cb89ae99c6ae · outbound

This paper cites Han, and A.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Han, and A

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:56.095536Z

Source-reported events for the cited work

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Observation 9f060f46-d504-4149-bb9a-b8ff21b37f2f · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.090013Z

Source-reported events for the cited work

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Observation ed05be20-27a3-44da-9b8f-748793aca44f · outbound

This paper cites Jentzen, and W.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Jentzen, and W

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:56.081488Z

Source-reported events for the cited work

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Observation 7d7dee6c-cb64-46c4-9c72-a807fff138b7 · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation c9fe51af-ae63-470b-9d52-26181a8dbcf5 · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.076152Z

Source-reported events for the cited work

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Observation 3b2206ce-5d2e-426f-99fa-12361df13d18 · outbound

This paper cites Zhang, S.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Zhang, S

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:56.078699Z

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.

Observation dfdf1e46-0929-42d8-947c-4d348e629949 · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.026432Z

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.

Observation 94e93201-da14-423a-b4ad-78851f64204f · outbound

This paper cites (2003): Options, Futures, and Other Derivatives, Pearson, Eighth Editon.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems (2003): Options, Futures, and Other Derivatives, Pearson, Eighth Editon

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:56.070741Z

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.

Observation 94bf637e-8254-4975-9108-6e71801b704c · outbound

This paper cites Pham, and X.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Pham, and X

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:03:41.520536Z

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.

Observation e03f3a54-2162-466d-8c78-6a0b220f2bbf · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.019946Z

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.

Observation 8a03b94d-495d-4fa5-81d4-434d4aa0a7df · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.023079Z

Source-reported events for the cited work

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Observation ea01b5ca-10bf-46fd-bd8b-31acdccf5ae8 · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.067757Z

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.

Observation fe0294bf-be4f-44e4-a64b-db12135575b3 · outbound

This paper cites Krzy \.z ak, and N.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Krzy \.z ak, and N

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:56.073459Z

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.

Observation c2dd5ef1-04f7-4dfd-815c-3ae020e00428 · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.084366Z

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.

Observation 7fba22ab-c9ed-4d2d-bf44-70368968be89 · outbound

This paper cites (2015): Stochastic control representations for penalized backward stochastic differential equations, SIAM Journal on Control and Optimization, 53, 1440--1463.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems (2015): Stochastic control representations for penalized backward stochastic differential equations, SIAM Journal on Control and Optimization, 53, 1440--1463

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:56.093002Z

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.

Observation 8acd6c63-bec2-444f-b4b6-b4a6e7802b83 · outbound

This paper cites L \"u tkebohmert, and W.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems L \"u tkebohmert, and W

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:56.098138Z

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.

Observation 13466503-29cc-492a-9abf-c6a87c8ce35f · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.057229Z

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.

Observation 8306d3ed-8a9d-4356-915d-6a750aa76864 · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.054426Z

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

Observation 1fb50420-80de-44d5-8333-bbd9248c38be · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.111520Z

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Observation 238d9471-94dd-4cbd-981c-90f2cc4bb333 · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.059825Z

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.

Observation d47e7f0e-6099-4058-abc7-f57c695318fc · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.064988Z

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.

Observation b8649e6b-9d48-4d33-95d6-5efce33f118f · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.048662Z

Source-reported events for the cited work

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Observation 26b0d705-e04b-45c1-bbab-5ff286e1623f · outbound

This paper cites (2009): Continuous-time stochastic control and optimization with financial applications, vol.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems (2009): Continuous-time stochastic control and optimization with financial applications, vol

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:56.051745Z

Source-reported events for the cited work

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Observation d8c0de84-ff79-46bb-a98a-0152a2917363 · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.045791Z

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.

Observation 18b2082b-da34-4873-91a4-ef76050c9fd5 · outbound

This paper cites Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-24T01:03:41.514701Z

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.

Observation 65ea1045-b13a-4577-b389-cfd0a1ca498b · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.032111Z

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.

Observation 26b774fa-5f36-4e7b-8ee1-88b50ed0a589 · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.062382Z

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.

Observation 72cb682b-3426-4a33-9a88-5efda318fd99 · outbound

This paper cites Credit Valuation Adjustment with Replacement Closeout: Theory and Algorithms.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Credit Valuation Adjustment with Replacement Closeout: Theory and Algorithms

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:03:41.525408Z

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.

Observation 7682d562-ad4b-44e3-b950-3f1dfaad5d22 · outbound

This paper cites (2013): Springer, Optimal Stochastic Control, Stochastic Target Problems, and Backwards SDE.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems (2013): Springer, Optimal Stochastic Control, Stochastic Target Problems, and Backwards SDE

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:56.037334Z

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.

Observation 5ceb65cd-ed6d-4a4d-84d5-3e3fcccef1ce · outbound

This paper cites an unresolved cited work.

Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:05:56.034471Z

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.

Pith citing papers

Observation b732b65a-1330-440a-8551-952b862177e6 · inbound

Time Deep Gradient Flow Method for pricing American options cites this paper.

Time Deep Gradient Flow Method for pricing American options Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T14:52:56.676736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85a26463-09e8-49f4-8629-2360d7690da1 · inbound

Two-grid Penalty Approximation Scheme for Doubly Reflected BSDEs cites this paper.

Two-grid Penalty Approximation Scheme for Doubly Reflected BSDEs Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T13:20:01.262069Z

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.

Observation 5a4cea3a-9599-4265-a60f-d717878eba11 · inbound

Continuous-time Optimal Stopping through Deep Reinforcement Learning cites this paper.

Continuous-time Optimal Stopping through Deep Reinforcement Learning Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems

Reference 54

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T18:38:49.783450Z

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.