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Paper Citation Record · LEDGER

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs

As of 23 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2509.02267.

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

pith.paper-citation-record.v1
2509.02267 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:49:50.643915Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T11:59:18.223000Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:19:43.723658Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8de1c57b-3262-4d0a-8c5d-a3e029c01386 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.234615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1acab505-c2d6-4c24-9707-c7032b2f1969 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.220839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 61049cb5-c349-4d96-b8ea-bfea3fd5f651 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.206246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b5fc825d-1655-4075-a14b-c036e1332f88 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.192771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3a06667a-889f-4082-8431-77c11a8f0a16 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.178403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9ca79c8d-2601-4561-a4aa-dcac7b4a7540 · outbound

This paper cites Caccioli, I.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Caccioli, I

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:54.162875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 47e469fe-5e4c-4d9c-96ec-1147ac2b912a · outbound

This paper cites Chellathurai and T.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Chellathurai and T

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:54.149236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b2afd5f1-3990-43a4-bea2-a45b9909912d · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.135874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 02ad0b2b-d9d5-48da-a6e8-98cbf4b756d8 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.121765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:49:48.350212Z digest=sha256:903c6f293228e519e1905afc751ed474ac2d86673e71302e60016989d095a252

Observation e7f514c9-6fe5-4ccf-aa63-99a83446b3ba · outbound

This paper cites Dai and Y.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Dai and Y

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:54.107019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:49:48.453787Z digest=sha256:3e2c984fce57699e4c9f6eb8b03b11ec3296267ee4d4acbea0680ffc25069f65

Observation 093af381-de67-40d6-b8d3-14b3939ade86 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.092261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 309d2411-1078-4b6d-9f8a-d91b544ba387 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.078279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6529d4f9-58cc-4b54-a07b-d6749e6073c9 · outbound

This paper cites Feng, M.-W.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Feng, M.-W

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:54.064982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a00313b1-1a6d-4529-9f80-66cf7da7c194 · outbound

This paper cites Feng, M.-W.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Feng, M.-W

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:54.050426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:49:48.786484Z digest=sha256:064bcaf263f6841be0a4c9d39dc6f277c0d7c9bdc2acbc8ffe69befb0a568ad6

Observation a61ae73b-41c8-4317-be39-40b6237cc3a8 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.036545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ae790629-a77a-4ec4-86f9-5781fa653bb1 · outbound

This paper cites Funahashi.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Funahashi

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:53.828846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:49:48.993678Z digest=sha256:669df45727c2600176be8d3f845bbd3e8fde22e980e5e2f1a9d32ad5c07bbb9a

Observation 853d3a97-644a-495f-acb8-35a67a9d274c · outbound

This paper cites Gonz´ alez and G.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Gonz´ alez and G

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:53.622953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e87517d1-e6ff-4a1c-9af3-2841ae3b6b81 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:53.437093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ac653782-87ee-4645-91b2-9b8bc2346e12 · outbound

This paper cites Grohs, F.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Grohs, F

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:53.271365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 45964c72-9491-47af-90b6-17636d295cf0 · outbound

This paper cites Ha and H.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Ha and H

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:53.151096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ad052299-0c2a-4c7a-b837-50aaf021ef90 · outbound

This paper cites He and S.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs He and S

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:52.868900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f5924618-cbe5-4195-8085-75b5262b4414 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:52.748352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 821bcdd9-8b0f-491e-a701-81899f4af274 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:52.545883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 166a1250-4fe3-4b40-a81d-909ca3e6f2fb · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:52.355347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7296f410-048d-4445-bac4-5a53fa38f647 · outbound

This paper cites Kerimkulov, D.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Kerimkulov, D

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:52.199677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0543527d-6fae-4cc6-aba1-f9554410fef0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Adam: A Method for Stochastic Optimization

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T11:49:49.757086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f8e6b0f2-e3cd-48c9-a12c-48d53dde66b4 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:52.150840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5a4e60e8-91bc-4531-8cbd-fa09f7343940 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:51.972111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bc613bf0-89b0-42ab-b935-bbcb5c9476b3 · outbound

This paper cites Ly Vath, M.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Ly Vath, M

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:51.813468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:49:49.931836Z digest=sha256:7e8bc084f935fbf18bef15bd284d874b07790e0b159c7db0399127619dca0509

Observation d52ad5f9-54cc-43f2-a733-efeae89052dc · outbound

This paper cites Markowitz.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Markowitz

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:51.690230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:49:50.034115Z digest=sha256:0b19dc914df692da5a5dbdaadf3999e5edc8ecce6ca4776a384a30dc3df0e20d

Observation 6e698d7d-70ef-42ba-8fce-6043814633c4 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:51.555549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:49:50.106625Z digest=sha256:7187c5ed6aaf92b00e124471f2e94f8088666475e9998cfe8fe7373547d9af03

Observation bac3ec95-ccdb-4594-bb93-80e7a3c23fe8 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:51.438626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3f33938d-da8d-42e2-9656-257c7ed24373 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:51.299291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 106c1a42-fd9f-4a3d-81d0-5956621d6fb4 · outbound

This paper cites Pasricha, S.-P.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Pasricha, S.-P

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:51.202945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:49:50.338902Z digest=sha256:44d091984d4f7afe7c5919324b3a031aba31a30592bc51f10569b640120a3964

Observation ecc0c938-887c-43b1-8a57-a6449d35d5a6 · outbound

This paper cites Patel and M.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Patel and M

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:51.109222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T11:49:50.367721Z digest=sha256:48537e421a542f30b38a1103c0b7ad30e6b16afe72e09f8d436868b39bae063c

Observation eac20679-221d-4afe-a1b4-d63400572dc0 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 36

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A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 37

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This paper cites Raissi, P.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Raissi, P

Reference 38

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This paper cites W ANG and S.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs W ANG and S

Reference 39

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PhiBE-Q-Learning: Bridging Off-Policy Reinforcement Learning and Continuous-Time Control cites this paper.

PhiBE-Q-Learning: Bridging Off-Policy Reinforcement Learning and Continuous-Time Control A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs

Reference 2

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