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Paper Citation Record · LEDGER

Time Deep Gradient Flow Method for pricing American options

As of 11 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2507.17606.

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

pith.paper-citation-record.v1
2507.17606 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:52:56.685676Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

22 of 22 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d07f747-3334-4777-98f8-95f261c921c2 · outbound

This paper cites Becker, P.

Time Deep Gradient Flow Method for pricing American options Becker, P

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d3ba085c-ca20-4d7d-8ead-ad2d24f6f57c · outbound

This paper cites Becker, P.

Time Deep Gradient Flow Method for pricing American options Becker, P

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 62b953d9-abde-48c5-86e2-9bad726e1d57 · outbound

This paper cites Becker, P.

Time Deep Gradient Flow Method for pricing American options Becker, P

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 1d6e7026-7e53-4e5a-b3d2-530eedcfad47 · outbound

This paper cites Belomestny and J.

Time Deep Gradient Flow Method for pricing American options Belomestny and J

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 80f49504-d8b0-4114-917b-a80bd35eaa6a · outbound

This paper cites Black and M.

Time Deep Gradient Flow Method for pricing American options Black and M

Reference 5

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:52:56.610067Z digest=sha256:3c7e274dfa9f5574ba2e15d0080e0e6df2189277877ad12f3ca31c971f7a9bb1

Observation a545d5d0-ab04-49ca-87bf-a38065336801 · outbound

This paper cites Clarke and K.

Time Deep Gradient Flow Method for pricing American options Clarke and K

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ce858e7c-d3de-4fc1-9cae-3ef2522e885a · outbound

This paper cites an unresolved cited work.

Time Deep Gradient Flow Method for pricing American options Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:52:56.971465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 60be3ce2-684f-4edb-8a19-d183ab7b776c · outbound

This paper cites DelftBlue Supercomputer (Phase 2).

Time Deep Gradient Flow Method for pricing American options DelftBlue Supercomputer (Phase 2)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:56.956948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T14:52:56.624881Z digest=sha256:6ab20919da9e5696340c520ade433320c351170fc39adb31bbf30e094ce4af59

Observation 18dba2bc-de87-4563-ba38-49f218b77993 · outbound

This paper cites an unresolved cited work.

Time Deep Gradient Flow Method for pricing American options Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:52:56.942211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e928d0ad-d749-4623-b3e5-39bc6764956e · outbound

This paper cites Optimal Stopping via Randomized Neural Networks.

Time Deep Gradient Flow Method for pricing American options Optimal Stopping via Randomized Neural Networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T14:52:56.634032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 13d7da59-3a8f-432a-afba-18c6c189ba26 · outbound

This paper cites an unresolved cited work.

Time Deep Gradient Flow Method for pricing American options Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:52:56.927804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation fcf300ba-4c41-442a-9b8a-b37bcbb652ad · outbound

This paper cites Hilber, O.

Time Deep Gradient Flow Method for pricing American options Hilber, O

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2d9aa0df-ed00-4d86-a28c-5c86701ae091 · outbound

This paper cites Ikonen and J.

Time Deep Gradient Flow Method for pricing American options Ikonen and J

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation fb998315-4428-4341-aaa1-a7a8850481f5 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Time Deep Gradient Flow Method for pricing American options Adam: A Method for Stochastic Optimization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T14:52:56.651458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1af734ba-4035-4e36-8721-d4f24c2e95ff · outbound

This paper cites an unresolved cited work.

Time Deep Gradient Flow Method for pricing American options Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:52:56.880241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9c695e32-2c7f-4988-aa77-b38d15f69e3f · outbound

This paper cites Musiela and M.

Time Deep Gradient Flow Method for pricing American options Musiela and M

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:56.863772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ac70d87a-50f2-4915-b03b-b38569faa72d · outbound

This paper cites an unresolved cited work.

Time Deep Gradient Flow Method for pricing American options Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:52:56.849663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation b8374735-aaf1-4088-94fe-e70890ca1499 · outbound

This paper cites Nwankwo, N.

Time Deep Gradient Flow Method for pricing American options Nwankwo, N

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation bae47cd1-6a6b-4f91-b67f-0c26fc917814 · outbound

This paper cites A time-stepping deep gradient flow method for option pricing in (rough) diffusion models.

Time Deep Gradient Flow Method for pricing American options A time-stepping deep gradient flow method for option pricing in (rough) diffusion models

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:52:56.751503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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

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

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.

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Observation 8ec1f77d-13e6-4168-ad44-07b5c4ab5a73 · outbound

This paper cites Sirignano and K.

Time Deep Gradient Flow Method for pricing American options Sirignano and K

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:56.819238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 8bc23b3a-11c8-4269-8f82-bf8b91239e6b · outbound

This paper cites an unresolved cited work.

Time Deep Gradient Flow Method for pricing American options Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:52:56.803357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Pith citing papers

No inbound Pith citation observations are available.